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      <video:description>System Design Course at InterviewReady: https://interviewready.io</video:description>
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      <video:title>Claude Code is now open source.. by accident</video:title>
      <video:description>Claude Code&apos;s entire source code was leaked. And more interestingly, it was ported to Python to get around copyright laws. This has major implications for all programmers.

Thank you Greptile for sponsoring. Try them out for free here https://www.greptile.com/go/neetcode

Sources:
https://www.cnbc.com/2026/03/31/anthropic-leak-claude-code-internal-source.html#:~:text=Anthropic%20was%20founded%20by%20a,fix%20bugs%20and%20automate%20tasks.

https://github.com/instructkr/claw-code

https://x.com/Fried_rice/status/2038894956459290963
https://x.com/wesbos/status/2038959754580492463
https://x.com/cmuratori/status/2039044968246038780
https://x.com/Butanium_/status/2039079715823128964
https://x.com/mal_shaik/status/2038919506224132178


🚀 https://neetcode.io/ - A better way to prepare for technical interviews

Second Channel:  https://www.youtube.com/@NeetCodeIO
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1

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      <video:title>LLMs Make You Dumb</video:title>
      <video:description>Thank you Posthog for sponsoring. Try them out for free here  https://go.posthog.com/navi

Thank you Greptile for sponsoring. Try them out for free here https://www.greptile.com/go/neetcode


Check out OpenCode: https://opencode.ai/ 
You can find Dax here: https://x.com/thdxr

The Full Episode:

Spotify - https://open.spotify.com/episode/4pqIupaKYWHl8D4pZMr5hL?si=1-ESZEHzSTK8K_wJyxLFLw
Apple - https://podcasts.apple.com/us/podcast/building-the-future-of-coding-opencode-with-dax-raad/id1867041268?i=1000752897650

0:00 - Intro 
1:02 - The Origin of OpenCode
3:56 - Dax&apos;s developer workflow
6:54 - Is code no longer written by humans?
11:32 - Competition, Claude Code
19:04 - Positioning vs Product
23:49 - Will OpenAI acquire OpenCode?
28:02 - The Future of Coding, effort vs impact
37:16 - Code Quality
42:23 - Did AI take the fun out of programming?
45:56 - Will programming skills decay 
long term?
51:56 - Technical skills alone are useless
58:56 - Becoming an Elite Developer
1:04:03 - Hiring shortcuts, do credentials matter



For sponsorship &amp; business inquiries mail@neetcode.io


🚀 https://neetcode.io/ - A better way to prepare for technical interviews

Second Channel:  https://www.youtube.com/@NeetCodeIO
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1

#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/1LgBufb_GiY</video:player_loc>
      <video:publication_date>2026-03-30T14:00:01.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>70</video:duration>
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  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/19051/clean-code-is-more-important-than-ever</loc>
    <lastmod>2026-03-29T13:57:42.000Z</lastmod>
    <changefreq>weekly</changefreq>
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      <video:thumbnail_loc>https://i.ytimg.com/vi/Y7tsf3eBCJU/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Clean Code is More Important than Ever</video:title>
      <video:description>Thank you Posthog for sponsoring. Try them out for free here  https://go.posthog.com/navi

Thank you Greptile for sponsoring. Try them out for free here https://www.greptile.com/go/neetcode


Check out OpenCode: https://opencode.ai/ 
You can find Dax here: https://x.com/thdxr

The Full Episode:

Spotify - https://open.spotify.com/episode/4pqIupaKYWHl8D4pZMr5hL?si=1-ESZEHzSTK8K_wJyxLFLw
Apple - https://podcasts.apple.com/us/podcast/building-the-future-of-coding-opencode-with-dax-raad/id1867041268?i=1000752897650

0:00 - Intro 
1:02 - The Origin of OpenCode
3:56 - Dax&apos;s developer workflow
6:54 - Is code no longer written by humans?
11:32 - Competition, Claude Code
19:04 - Positioning vs Product
23:49 - Will OpenAI acquire OpenCode?
28:02 - The Future of Coding, effort vs impact
37:16 - Code Quality
42:23 - Did AI take the fun out of programming?
45:56 - Will programming skills decay 
long term?
51:56 - Technical skills alone are useless
58:56 - Becoming an Elite Developer
1:04:03 - Hiring shortcuts, do credentials matter



For sponsorship &amp; business inquiries mail@neetcode.io


🚀 https://neetcode.io/ - A better way to prepare for technical interviews

Second Channel:  https://www.youtube.com/@NeetCodeIO
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1

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      <video:title>House Robber - Leetcode 198 #shorts</video:title>
      <video:description>🚀 https://neetcode.io/ - Get lifetime access to every course I ever create!


Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1
📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io


#leetcode #neetcode #python</video:description>
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      <video:publication_date>2024-06-20T13:03:19.000Z</video:publication_date>
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      <video:family_friendly>yes</video:family_friendly>
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  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13391/building-the-future-of-coding-opencode-with-dax-raad</loc>
    <lastmod>2026-03-17T08:38:34.000Z</lastmod>
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      <video:thumbnail_loc>https://i.ytimg.com/vi/IGsbARhERqc/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Building the Future of coding, OpenCode with Dax Raad</video:title>
      <video:description>Thank you Posthog for sponsoring. Try them out for free here  https://go.posthog.com/navi

Thank you Greptile for sponsoring. Try them out for free here https://www.greptile.com/go/neetcode


Check out OpenCode the open source AI Coding agent: https://opencode.ai/ 

You can find Dax here: https://x.com/thdxr



0:00 - Intro 
1:02 - The Origin of OpenCode
3:56 - Dax&apos;s developer workflow
6:54 - Is code no longer written by humans?
11:32 - Competition, Claude Code
19:04 - Positioning vs Product
23:49 - Will OpenAI acquire OpenCode?
28:02 - The Future of Coding, effort vs impact
37:16 - Code Quality
42:23 - Did AI take the fun out of programming?
45:56 - Will programming skills decay 
long term?
51:56 - Technical skills alone are useless
58:56 - Becoming an Elite Developer
1:04:03 - Hiring shortcuts, do credentials matter


🚀 https://neetcode.io/ - A better way to prepare for technical interviews

Second Channel:  https://www.youtube.com/@NeetCodeIO

🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1

#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/IGsbARhERqc</video:player_loc>
      <video:publication_date>2026-03-17T08:38:34.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
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      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
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  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13390/the-end-of-programming-as-we-know-it</loc>
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      <video:title>The End of Programming as we Know It</video:title>
      <video:description>🚀 https://neetcode.io/ - A Better way to prepare for technical interviews

The End of programming as we know it by Tim O&apos;Reilly: https://www.oreilly.com/radar/the-end-of-programming-as-we-know-it/


Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1



#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/7z4Nl1WjE9I</video:player_loc>
      <video:publication_date>2026-03-17T08:38:12.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>1097</video:duration>
      <video:family_friendly>yes</video:family_friendly>
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  <url>
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    <lastmod>2026-03-17T08:38:01.000Z</lastmod>
    <changefreq>weekly</changefreq>
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      <video:thumbnail_loc>https://i.ytimg.com/vi/eTY2Lwnd2fI/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Coding Interviews in 2026</video:title>
      <video:description>🚀 https://neetcode.io/ - A Better way to Prepare for Coding Interviews


Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1
📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io



#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/eTY2Lwnd2fI</video:player_loc>
      <video:publication_date>2026-03-17T08:38:01.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>1339</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13388/big-o-notation-everything-you-need-for-coding-interviews</loc>
    <lastmod>2026-03-17T08:37:49.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/rv_ZacJYRFA/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Big-O Notation - Everything you Need for Coding Interviews</video:title>
      <video:description>My friends at Warp are offering a discount on their premium Pro plan for only $1/month your first month - https://go.warp.dev/neetcode


🚀 https://neetcode.io/ - Get lifetime access to every course I ever create!

Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1
📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io



#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/rv_ZacJYRFA</video:player_loc>
      <video:publication_date>2026-03-17T08:37:49.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>880</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13387/70-of-cs-grads-can-t-solve-this</loc>
    <lastmod>2026-03-17T08:37:39.000Z</lastmod>
    <changefreq>weekly</changefreq>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/ehv-Ls9Idw8/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>70% of CS Grads can&apos;t solve this</video:title>
      <video:description>🚀 https://neetcode.io/ - Get lifetime access to every course I ever create!

Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1
📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io



#coding #leetcode #python</video:description>
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      <video:publication_date>2026-03-17T08:37:39.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>87</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
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  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13386/heaps-are-better-than-sorting</loc>
    <lastmod>2026-03-17T08:37:27.000Z</lastmod>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/f6slNG5_1VU/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Heaps are BETTER than sorting</video:title>
      <video:description>🚀 https://neetcode.io/ - Get lifetime access to every course I ever create!

Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1
📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io



#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/f6slNG5_1VU</video:player_loc>
      <video:publication_date>2026-03-17T08:37:27.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>87</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13385/learn-algorithms-data-structures-for-free</loc>
    <lastmod>2026-03-17T08:37:16.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/laCgvPLhL4I/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Learn Algorithms &amp; Data Structures for FREE</video:title>
      <video:description>🚀 https://neetcode.io/ - Get lifetime access to every course I ever create!

Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1
📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io



#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/laCgvPLhL4I</video:player_loc>
      <video:publication_date>2026-03-17T08:37:16.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13384/topological-sort</loc>
    <lastmod>2026-03-17T08:37:03.000Z</lastmod>
    <changefreq>weekly</changefreq>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/mw1Z99JZ048/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Topological Sort</video:title>
      <video:description>🚀 https://neetcode.io/ - Get lifetime access to every course I ever create!

Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
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📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io



#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/mw1Z99JZ048</video:player_loc>
      <video:publication_date>2026-03-17T08:37:03.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
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  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13383/the-easiest-algorithm-ever</loc>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/ms1cRGi69Mk/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>The easiest Algorithm ever</video:title>
      <video:description>🚀 https://neetcode.io/ - Get lifetime access to every course I ever create!

Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1
📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io



#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/ms1cRGi69Mk</video:player_loc>
      <video:publication_date>2026-03-17T08:36:51.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13382/validate-binary-search-tree-leetcode-98</loc>
    <lastmod>2026-03-17T08:35:24.000Z</lastmod>
    <changefreq>weekly</changefreq>
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      <video:title>Validate Binary Search Tree - Leetcode 98</video:title>
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#coding #leetcode #python</video:description>
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      <video:title>the advantage of a Binary Search Tree</video:title>
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#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/BtiEhn6Ce7Q</video:player_loc>
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  <url>
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      <video:title>palindromes were tricky until I learned this</video:title>
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#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/XkEE-ffhggw</video:player_loc>
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      <video:duration>60</video:duration>
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  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13379/a-trick-for-recursive-problems</loc>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/tdm0wa2q3Cs/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>a trick for recursive problems</video:title>
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#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/tdm0wa2q3Cs</video:player_loc>
      <video:publication_date>2026-03-17T08:34:34.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
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  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13378/a-little-secret-for-binary-tree-questions</loc>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/ymLp6HeKv1o/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>a little secret for binary tree questions 🤫</video:title>
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#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/ymLp6HeKv1o</video:player_loc>
      <video:publication_date>2026-03-17T08:34:22.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
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  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13377/how-i-actually-got-good-at-leetcode</loc>
    <lastmod>2026-03-17T08:34:10.000Z</lastmod>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/RJr7ofDgE24/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>How I ACTUALLY got good at Leetcode</video:title>
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#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/RJr7ofDgE24</video:player_loc>
      <video:publication_date>2026-03-17T08:34:10.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
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  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13376/kth-largest-element-in-a-stream-leetcode-703</loc>
    <lastmod>2026-03-17T08:33:48.000Z</lastmod>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/o1A20jJGPN4/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Kth Largest Element in a Stream - Leetcode 703</video:title>
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#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/o1A20jJGPN4</video:player_loc>
      <video:publication_date>2026-03-17T08:33:48.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13375/just-reverse-the-problem-and-it-s-simple</loc>
    <lastmod>2026-03-17T08:33:36.000Z</lastmod>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/hhMk5OA2RFE/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Just reverse the problem and it&apos;s simple</video:title>
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#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/hhMk5OA2RFE</video:player_loc>
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      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13374/a-neet-trick-for-linked-list-problems</loc>
    <lastmod>2026-03-17T08:33:23.000Z</lastmod>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/TS-ii9YtItY/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>A neet trick for Linked List problems</video:title>
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#coding #leetcode #python</video:description>
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      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
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  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13373/how-to-effectively-learn-algorithms</loc>
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      <video:thumbnail_loc>https://i.ytimg.com/vi/R5IB1ugud1Q/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>How to effectively learn Algorithms</video:title>
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#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/R5IB1ugud1Q</video:player_loc>
      <video:publication_date>2026-03-17T08:32:57.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
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  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13372/problem-solving-skills-for-leetcode</loc>
    <lastmod>2026-03-17T08:32:46.000Z</lastmod>
    <changefreq>weekly</changefreq>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/TzcB8hKsjj0/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Problem Solving Skills for LeetCode</video:title>
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#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/TzcB8hKsjj0</video:player_loc>
      <video:publication_date>2026-03-17T08:32:46.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
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  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13371/add-two-numbers-leetcode-2</loc>
    <lastmod>2026-03-17T08:32:31.000Z</lastmod>
    <changefreq>weekly</changefreq>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/PiT_FE8oyfM/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Add Two Numbers - Leetcode 2</video:title>
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#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/PiT_FE8oyfM</video:player_loc>
      <video:publication_date>2026-03-17T08:32:31.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13370/valid-sudoku-leetcode-36</loc>
    <lastmod>2026-03-17T08:32:16.000Z</lastmod>
    <changefreq>weekly</changefreq>
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    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/Ohpr2TM1IRQ/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Valid Sudoku - Leetcode 36</video:title>
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#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/Ohpr2TM1IRQ</video:player_loc>
      <video:publication_date>2026-03-17T08:32:16.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13369/longest-consecutive-sequence-leetcode-128</loc>
    <lastmod>2026-03-17T08:32:03.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/ahysrRu0bHw/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Longest Consecutive Sequence - Leetcode 128</video:title>
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#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/ahysrRu0bHw</video:player_loc>
      <video:publication_date>2026-03-17T08:32:03.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13366/product-of-array-except-self-leetcode-238</loc>
    <lastmod>2026-03-17T08:31:48.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/oxTWIfJk7jE/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Product of Array Except Self - Leetcode 238</video:title>
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#coding #neetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/oxTWIfJk7jE</video:player_loc>
      <video:publication_date>2026-03-17T08:31:48.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13365/climbing-stairs-leetcode-70</loc>
    <lastmod>2026-03-17T08:31:34.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/x4epBH6HF10/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Climbing Stairs - Leetcode 70</video:title>
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#coding #neetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/x4epBH6HF10</video:player_loc>
      <video:publication_date>2026-03-17T08:31:34.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13364/maximum-subarray-leetcode-53</loc>
    <lastmod>2026-03-17T08:31:22.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/rzQjLJq5sbQ/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Maximum Subarray - Leetcode 53</video:title>
      <video:description>🚀 https://neetcode.io/ - Get lifetime access to every course I ever create!

Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1
📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io



#coding #neetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/rzQjLJq5sbQ</video:player_loc>
      <video:publication_date>2026-03-17T08:31:22.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13362/single-number-leetcode-136</loc>
    <lastmod>2026-03-17T08:31:07.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/X6vgc_Iubf0/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Single Number - Leetcode 136</video:title>
      <video:description>🚀 https://neetcode.io/ - Get lifetime access to every course I ever create!

Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1
📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io



#leetcode #neetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/X6vgc_Iubf0</video:player_loc>
      <video:publication_date>2026-03-17T08:31:07.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13361/max-area-of-island-leetcode-695</loc>
    <lastmod>2026-03-17T08:30:52.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/tXgcTl-vH9Q/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Max Area of Island - Leetcode 695</video:title>
      <video:description>🚀 https://neetcode.io/ - Get lifetime access to every course I ever create!


Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO


🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1
📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io


#leetcode #neetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/tXgcTl-vH9Q</video:player_loc>
      <video:publication_date>2026-03-17T08:30:52.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13360/linked-list-cycle-leetcode-141</loc>
    <lastmod>2026-03-17T08:30:38.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/x17H3X-BzPY/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Linked List Cycle - Leetcode 141</video:title>
      <video:description>🚀 https://neetcode.io/ - Get lifetime access to every course I ever create!

Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1
📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io


#coding #neetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/x17H3X-BzPY</video:player_loc>
      <video:publication_date>2026-03-17T08:30:38.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13153/how-openai-scaled-postgres-to-manage-800-million-users</loc>
    <lastmod>2026-03-17T07:38:41.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/9pjt9c3K1l8/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>How OpenAI scaled Postgres to manage 800 million users</video:title>
      <video:description>Blog: https://openai.com/index/scaling-postgresql/

1. Single Write Instance
2. Lazy writes
3. Batch writes
4. Connection Pools
5. Request Collapsing

System Design Course: https://interviewready.io

#openai #Postgres #SystemDesign</video:description>
      <video:player_loc>https://www.youtube.com/embed/9pjt9c3K1l8</video:player_loc>
      <video:publication_date>2026-03-17T07:38:41.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>127</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13152/how-uber-matches-drivers-in-real-time</loc>
    <lastmod>2026-03-17T07:38:24.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/Mb_CpdowDpk/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>How Uber matches drivers in real time.</video:title>
      <video:description>Uber uses a batch-matching algorithm, with DeepETA and RL for demand spikes. The video explains these points.

References:
https://www.uber.com/us/en/marketplace/matching/
https://www.uber.com/en-IN/blog/reinforcement-learning-for-modeling-marketplace-balance/
https://www.uber.com/en-IN/blog/m3/
https://www.uber.com/en-IN/blog/deepeta-how-uber-predicts-arrival-times/
https://interviewready.io/learn/system-design-course/design-a-cab-aggregator-app-like-uber/requirements-of-a-cab-aggregator

#Uber #SystemDesign #InterviewReady</video:description>
      <video:player_loc>https://www.youtube.com/embed/Mb_CpdowDpk</video:player_loc>
      <video:publication_date>2026-03-17T07:38:24.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>85</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13151/ai-engineering-paper-4-mixture-of-experts</loc>
    <lastmod>2026-03-17T07:38:14.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/kBi_Cj9hkNg/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>AI Engineering Paper #4: Mixture of Experts</video:title>
      <video:description>In this live class, we will be going through the &quot;OUTRAGEOUSLY LARGE NEURAL NETWORKS: THE SPARSELY-GATED MIXTURE-OF-EXPERTS LAYER&quot; research paper by Noam Shazeer, Geoffrey Hinton and Jeff Dean.

----------------------------------------

On 28th February 2026, we are launching our first AI Engineering Cohort.
A focused, intense 16-week program for software engineers who want real, production-grade AI skills.

More details coming soon.
Cheers!

Paper link: https://arxiv.org/pdf/1701.06538
Github resources: https://github.com/InterviewReady/ai-engineering-resources
AI Engineering Cohort: https://aiengg.dev/</video:description>
      <video:player_loc>https://www.youtube.com/embed/kBi_Cj9hkNg</video:player_loc>
      <video:publication_date>2026-03-17T07:38:14.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>3667</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13150/ai-engineering-paper-2-vectorization-with-faiss</loc>
    <lastmod>2026-03-17T07:37:13.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/q4LHDtgRzF4/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>AI Engineering Paper #2: Vectorization with FAISS</video:title>
      <video:description>Let&apos;s go over vectorization in transformers. Specifically, vectors built using FAISS.

On 28th February 2026, we are launching our first AI Engineering Cohort.
A focused, intense 16-week program for software engineers who want real, production-grade AI skills.

More details coming soon.
Cheers!

Paper link: https://arxiv.org/pdf/2401.08281
All papers: https://github.com/InterviewReady/ai-engineering-resources</video:description>
      <video:player_loc>https://www.youtube.com/embed/q4LHDtgRzF4</video:player_loc>
      <video:publication_date>2026-03-17T07:37:13.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>3950</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13149/ai-engineering-paper-1-tokenization-with-byte-pair-encoding</loc>
    <lastmod>2026-03-17T07:37:02.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/beN5vlbQD2g/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>AI Engineering Paper #1: Tokenization with Byte Pair Encoding</video:title>
      <video:description>Let&apos;s go over tokenization in transformers. Specifically Byte-Pair Encoding.

On 28th February 2026, we are launching our first AI Engineering Cohort.
A focused, intense 16-week program for software engineers who want real, production-grade AI skills.

More details coming soon.
Cheers!

Paper link: https://arxiv.org/abs/1508.07909
All papers: https://github.com/InterviewReady/ai-engineering-resources
Playground: https://platform.openai.com/tokenizer</video:description>
      <video:player_loc>https://www.youtube.com/embed/beN5vlbQD2g</video:player_loc>
      <video:publication_date>2026-03-17T07:37:02.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>5090</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13148/ai-engineering-roadmap-for-software-engineers-2026</loc>
    <lastmod>2026-03-17T07:36:49.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/JDhezqsG_Jo/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>AI Engineering Roadmap for Software Engineers (2026)</video:title>
      <video:description>Most software developers (≈90%) agree that AI skills matter.
But only 54% are actually learning them.

Source: CoderPad survey of 5,000 developers.

Why the huge gap?
Because most “AI learning resources” are not built for software engineers.

They start with RNNs and CNNs. They should start with databases, APIs, systems, and production code.

This mismatch is why many engineers give up early.

Solution:
On 28th February, we are launching our first AI Engineering Cohort.

A focused, intense 16-week program for software engineers who want real, production-grade AI skills.

More details coming soon.
Cheers!

Github link: https://github.com/InterviewReady/ai-engineering-resources

00:00 Intro
06:25 How to read Research Papers
14:11 Where to find Good Papers
19:18 How to learn the internals of transformers
25:01 How to build Agentic AI
32:31 Recap</video:description>
      <video:player_loc>https://www.youtube.com/embed/JDhezqsG_Jo</video:player_loc>
      <video:publication_date>2026-03-17T07:36:49.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>2475</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13147/the-internal-architecture-of-amazon-s3</loc>
    <lastmod>2026-03-17T07:36:39.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/M2jYafYJovo/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>The Internal Architecture of Amazon S3</video:title>
      <video:description>Amazon S3 stores exabytes of data across millions of disks. This video explains it&apos;s internal architecture.

In this video, we break down:

1. How S3 uploads files using parallel multipart uploads
2. How checksums and monitoring prevent data corruption
3. How S3 survives disk, shard, and even region failures
4. How shuffle sharding and request cancellation keep latency low
5. How auto-scaling avoids hot prefixes
6. How error-correcting codes deliver 11 nines of durability with only ~1.8× storage overhead

If you want to understand real-world distributed storage design, this is how S3 does it at scale.

Links: 
https://aws.amazon.com/awstv/watch/d33eda30e60/
https://www.youtube.com/watch?v=NXehLy7IiPM
https://interviewready.io/course-page/system-design-course

#AWS #S3 #SystemDesign</video:description>
      <video:player_loc>https://www.youtube.com/embed/M2jYafYJovo</video:player_loc>
      <video:publication_date>2026-03-17T07:36:39.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>120</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13146/netflix-engineering-db-migration-to-aurora-results-in-75-speedup</loc>
    <lastmod>2026-03-17T07:36:27.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/DwaDuNdpFyg/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Netflix Engineering: DB Migration to Aurora results in 75% speedup</video:title>
      <video:description>Netflix just made their databases up to 75 percent faster.

And the reason is AWS Aurora.

For years, Netflix ran self-managed Postgres on EC2.
It worked, but it came at a price.

Infra teams handled scaling, failover and upgrades.
Developers experienced inconsistent latency and spikes under load.

So the team decided to move to Amazon Aurora.
There were several reasons for this:

1. PostgreSQL compatibility
2. Fault tolerance across three AZs
3. Low operational overhead
4. High throughput

The best part is Aurora doesn&apos;t have double buffering. Meaning ~75 percent of memory is allocated to shared buffers, instead of the OS page cache.

This resulted in:

1. Lower Costs.
2. Faster Reads.
3. Faster Writes.

Postgres costs went down by 28%, while latency improved by 75%.

Understanding system design helps companies make decisions like this. If you want to learn how systems work under the hood, try InterviewReady.

Cheers!

Blog: https://aws.amazon.com/blogs/database/netflix-consolidates-relational-database-infrastructure-on-amazon-aurora-achieving-up-to-75-improved-performance/
Paper: https://pages.cs.wisc.edu/~yxy/cs764-f20/papers/aurora-sigmod-17.pdf
System Design Course: https://interviewready.io/

#Netflix #Aurora #DatabaseMigration</video:description>
      <video:player_loc>https://www.youtube.com/embed/DwaDuNdpFyg</video:player_loc>
      <video:publication_date>2026-03-17T07:36:27.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>93</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13145/cloudflare-outage-incident-report</loc>
    <lastmod>2026-03-17T07:36:13.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/uEcZiaQqaBs/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Cloudflare Outage Incident Report</video:title>
      <video:description>On 18 November 2025, Cloudflare experienced a major global outage. 
This is a summary of its incident report.

The failure began when Cloudflare introduced fine-grained user access control its ClickHouse database. 

This unintentionally exposed every shard’s feature list as separate rows in their bot check query. 

The resultant oversized config propagated across the network, failing the core proxy (which tried to preallocate memory for all features). 

Each failure triggered heavy logging, further increasing latency. 

Engineers initially assumed this was a DDoS because the failures were intermittent, but later confirmed that the root cause was an internal error.

Incident Report: https://blog.cloudflare.com/18-november-2025-outage/ 
System Design Course: https://interviewready.io/learn/system-design-course 

#SystemDesign #Cloudflare #Outage</video:description>
      <video:player_loc>https://www.youtube.com/embed/uEcZiaQqaBs</video:player_loc>
      <video:publication_date>2026-03-17T07:36:13.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>108</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13144/toward-agi-google-deepmind-s-new-learning-model</loc>
    <lastmod>2026-03-17T07:36:02.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/WTm2YSc8sN0/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Toward AGI: Google Deepmind&apos;s New Learning Model</video:title>
      <video:description>An important milestone for AGI?

Google Deepmind introduced Hope, a model with continious learning capabilities.

It&apos;s built on a previous Google model called Titans, and the intial results are promising.

The main idea is to learn in layers, transfering long term abstract learnings to higher layers.

This avoids the problem of catastrophic forgetting, where a model loses its accuracy as it&apos;s exposed to different types of tasks.

Paper: https://research.google/blog/introducing-nested-learning-a-new-ml-paradigm-for-continual-learning/

AI Engineering Course: https://interviewready.io/course-page/ai-engineering

Cheers!

#AI #GoogleDeepMind #AGI</video:description>
      <video:player_loc>https://www.youtube.com/embed/WTm2YSc8sN0</video:player_loc>
      <video:publication_date>2026-03-17T07:36:02.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>84</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13143/this-is-how-google-analytics-works</loc>
    <lastmod>2026-03-17T07:35:50.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/w684GdpFZrU/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>This is how Google Analytics works.</video:title>
      <video:description>Google Analytics uses Dremel to scan trillions of cells every second. 

The data is distributed across leaf nodes, who can be queried by parent nodes sharded by keys. The data access is forced into a tree structure, with caching for popular queries.

Data format on disk is columnar, optimised for aggregation queries. Data is backed by Google&apos;s File System (Colossus).

Dremel also uses approximations to speed up queries and improve fault tolerance.

Paper: https://research.google/pubs/dremel-interactive-analysis-of-web-scale-datasets-2/
Google Dremel Lessons: https://interviewready.io/learn/system-design-course/google-dremel-deep-dive/google-dremel?tab=chapters

#GoogleAnalytics #Algorithms #SystemDesign</video:description>
      <video:player_loc>https://www.youtube.com/embed/w684GdpFZrU</video:player_loc>
      <video:publication_date>2026-03-17T07:35:50.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>111</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13142/diffusion-models-just-beat-large-language-models</loc>
    <lastmod>2026-03-17T07:35:30.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/Yu4ZWy1GjlE/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Diffusion Models Just Beat Large Language Models?</video:title>
      <video:description>This video explains how diffusion models are overtaking Large Language Models for generation tasks like:
1. Code Generation
2. Image Generation
3. Video Generation

We will learn how Diffusion Models generate output, and their internal mechanism.

00:00 Agenda
00:20 How are they different from LLMs?
05:09 Internal Mechanism
10:09 How are vectors generated?
12:08 Conclusion
13:02 Opinion Piece

AI Engineering Course: https://interviewready.io/course-page/ai-engineering

#Diffusion #AI #LLMs</video:description>
      <video:player_loc>https://www.youtube.com/embed/Yu4ZWy1GjlE</video:player_loc>
      <video:publication_date>2026-03-17T07:35:30.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>901</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13141/aws-outage-incident-report</loc>
    <lastmod>2026-03-17T07:35:17.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/Lrdh1xdkpgw/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>AWS outage incident report</video:title>
      <video:description>Incident Report: https://aws.amazon.com/message/101925/

Fault Tolerance Lesson: https://interviewready.io/learn/system-design-course/building-an-ecommerce-app-1-to-1m/4-debugging-in-the-trenches?tab=chapters

It was a combination of DynamoDB&apos;s DNS failure and health checks, which led to a cascading comedy of collapses in EC2 and load balancers.

#AWS #Incident #DNS</video:description>
      <video:player_loc>https://www.youtube.com/embed/Lrdh1xdkpgw</video:player_loc>
      <video:publication_date>2026-03-17T07:35:17.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>174</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13140/here-is-how-python-s-sorting-algorithm-works-pre-3-11</loc>
    <lastmod>2026-03-17T07:35:06.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/R--MUVMrnDE/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Here is how Python&apos;s sorting algorithm works (Pre 3.11)</video:title>
      <video:description>This is how TimSort, Python&apos;s sorting algorithm until 3.11, works.

Still used in Java, Swift, and Rust.

System Design Course at InterviewReady: https://interviewready.io/

#TimSort #Python #Algorithms</video:description>
      <video:player_loc>https://www.youtube.com/embed/R--MUVMrnDE</video:player_loc>
      <video:publication_date>2026-03-17T07:35:06.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>84</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13139/design-patterns-for-dynamodb</loc>
    <lastmod>2026-03-17T07:34:33.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/qAG9jZOcVsE/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Design Patterns for DynamoDB</video:title>
      <video:description>https://interviewready.io/course-page/system-design-course

This is how Amazon DynamoDB can speed up queries, when using the right data access indexing patterns.

#DynamoDB #Database #SystemDesign</video:description>
      <video:player_loc>https://www.youtube.com/embed/qAG9jZOcVsE</video:player_loc>
      <video:publication_date>2026-03-17T07:34:33.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>170</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13138/this-is-how-meta-serves-its-social-graph</loc>
    <lastmod>2026-03-17T07:34:23.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/HF8irYqb8Ts/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>This is how Meta serves its social graph.</video:title>
      <video:description>This is how Meta serves its social graph.

Every time a user loads a page, Meta&apos;s servers run complex queries to fetch data.

This includes posts, likes, comments, replies, stories and messages.

The query to fetch this data is complex, and best served using a graph datastore.

Since Facebook had deep expertise with MySQL and Memcached, their engineering team decided to build the graph store in-memory, on top of Memcached.

The system, a thin API wrapper that provides graph query capabilities, is called TAO.

It has scaled to over 10 billion queries per second, and is one of Meta&apos;s engineering marvels.

For a detailed breakdown, watch the video at InterviewReady.

#SystemDesign #Meta #Cache

InterviewReady: https://interviewready.io/learn/system-design-course/tao-graph-database-at-meta/1-usecases-and-data-schema?tab=chapters</video:description>
      <video:player_loc>https://www.youtube.com/embed/HF8irYqb8Ts</video:player_loc>
      <video:publication_date>2026-03-17T07:34:23.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>123</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13137/20-ai-concepts-explained-in-40-minutes</loc>
    <lastmod>2026-03-17T07:33:47.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/OYvlznJ4IZQ/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>20 AI Concepts Explained in 40 Minutes</video:title>
      <video:description>Engineers need to communicate effectively when building AI Systems. 

These terms will help you use a shared vocabulary. This is useful when discussing concepts, reading papers, or collaborating with teammates.

Listed in order.
00:00 Agenda
00:28 1. Large Language Model
01:28 2. Tokenization
02:53 3. Vectorization
04:15 4. Attention
07:22 5. Self-Supervised Learning
12:07 6. Transformer
14:32 7. Fine-tuning
17:05 8. Few-shot Prompting
18:11 9. Retrieval Augmented Generation
20:33 10. Vector Database
23:03 11. Model Context Protocol
25:43 12. Context Engineering
28:17 13. Agents
29:19 14. Reinforcement Learning
34:42 15. Chain of Thought
35:55 16. Reasoning Models
36:36 17. Multi-modal Models
38:21 18. Small Language Models
40:24 19. Distillation
41:47 20. Quantization

If you are a software engineer looking to transition to AI, click the link below.
AI Engineering Course: https://interviewready.io/course-page/ai-engineering

#AI #SoftwareEngineering #Agents</video:description>
      <video:player_loc>https://www.youtube.com/embed/OYvlznJ4IZQ</video:player_loc>
      <video:publication_date>2026-03-17T07:33:47.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>2614</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13136/leetcode-for-system-design-ai-interviewer-launched</loc>
    <lastmod>2026-03-17T07:33:31.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/cJDgNSWTwrg/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Leetcode for System Design? AI Interviewer Launched.</video:title>
      <video:description>There was no Leetcode for System Design.

Unitl now.

That&apos;s what we have launched at InterviewReady.

Try it here: https://interviewready.io/mock-interview

#SystemDesign #MockInterview</video:description>
      <video:player_loc>https://www.youtube.com/embed/cJDgNSWTwrg</video:player_loc>
      <video:publication_date>2026-03-17T07:33:31.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>2580</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13135/does-ai-improve-developer-productivity</loc>
    <lastmod>2026-03-17T07:33:10.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/Xan5JnecLNA/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Does AI improve developer productivity?</video:title>
      <video:description>AI Course at InterviewReady: https://interviewready.io/course-page/ai-engineering

There’s a lot of hype around AI and coding. But instead of opinions, let’s look at evidence.

A Stanford study looked at:

-- 50,000+ engineers
-- 2B+ lines of code
-- Millions of commits

This was done across private company repositories (not hobby projects)

The results:
1. Greenfield + low complexity tasks → 35–40% productivity gain
2. Greenfield + high complexity tasks → 10–15% gain
3. Brownfield + low complexity tasks → 15–20% gain
4. Brownfield + high complexity tasks → 0–10% gain (sometimes negative)

00:00 Agenda
00:36 Stanford Report
06:36 Productivity Metrics
10:41 Methodology
14:48 AI - 2027

Research link: https://www.youtube.com/watch?v=tbDDYKRFjhk

#productivity #AI #software</video:description>
      <video:player_loc>https://www.youtube.com/embed/Xan5JnecLNA</video:player_loc>
      <video:publication_date>2026-03-17T07:33:10.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>1217</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13134/kafka-internal-algorithms</loc>
    <lastmod>2026-03-17T07:32:48.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/mVu2iCt-eGc/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Kafka: Internal Algorithms</video:title>
      <video:description>System Design Course: https://interviewready.io/

1. Isolation of concerns
2. Stateless servers
3. Zero-copy

#Kafka #SystemDesign</video:description>
      <video:player_loc>https://www.youtube.com/embed/mVu2iCt-eGc</video:player_loc>
      <video:publication_date>2026-03-17T07:32:48.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>115</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13133/atlassian-migrated-4-million-postgres-databases-with-zero-downtime</loc>
    <lastmod>2026-03-17T07:32:38.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/p5NylE_fFfs/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Atlassian migrated 4 million postgres databases with ZERO downtime</video:title>
      <video:description>System Design Course: https://interviewready.io/

This is how Atlassian migrated it&apos;s 4 million postgres databases from Amazon Elastic Block Storage (EBS) to AWS Aurora.

The move helped reduced costs and increase reliability.

#Atlassian #SystemDesign #database</video:description>
      <video:player_loc>https://www.youtube.com/embed/p5NylE_fFfs</video:player_loc>
      <video:publication_date>2026-03-17T07:32:38.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>87</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13132/this-is-how-tesla-stores-a-trillion-metrics-everyday</loc>
    <lastmod>2026-03-17T07:32:26.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/zyYGhuYzbYY/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>This is how Tesla stores a trillion metrics everyday.</video:title>
      <video:description>System Design Course: https://interviewready.io/learn/system-design-course

Tesla stores 10s of millions of rows of metrics data every second, from various sources like its factories, energy stations and automoblies. This totals to trillions of rows everyday.

Tesla recently moved away from PrometheusDB due to scaling issues. It built its wrapper over ClickHouse, which is a high-speed OLAP database (also used by OpenAI).

#SystemDesign #Tesla #Observability</video:description>
      <video:player_loc>https://www.youtube.com/embed/zyYGhuYzbYY</video:player_loc>
      <video:publication_date>2026-03-17T07:32:26.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>61</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13131/how-deepseek-reads-6-tb-of-files-per-second</loc>
    <lastmod>2026-03-17T07:31:52.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/v1iBpI0Z2gw/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>How Deepseek reads 6 TB of files per second.</video:title>
      <video:description>System Design and AI engineering Courses: https://interviewready.io/

This is how DeepSeek&apos;s distributed file system, 3FS, handles 6.6 Terabytes of data per second. 

3FS is designed to train large language models, and internally uses Apache Zookeeper and Foundation DB (from Apple).

The filesystem has a write-to-all and read-by-any policy, for high fault tolerance and read-throughputs.

It also uses chained replication of file chunks for efficient usage of bandwidth and memory.

#DeepSeek #AI #FileSystem</video:description>
      <video:player_loc>https://www.youtube.com/embed/v1iBpI0Z2gw</video:player_loc>
      <video:publication_date>2026-03-17T07:31:52.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>100</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13130/how-openai-ingests-petabytes-of-logs-every-day</loc>
    <lastmod>2026-03-17T07:31:39.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/ErAqfaa9pgc/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>How OpenAI ingests petabytes of logs every day.</video:title>
      <video:description>System Design Course at InterviewReady: https://interviewready.io/

The secret is an engineering marvel: ClickHouse.

By the time you finish watching this video, OpenAI will have ingested more than 100 GB of log data.

Crazy scale, worth a watch.

#OpenAI #Logs #Observability</video:description>
      <video:player_loc>https://www.youtube.com/embed/ErAqfaa9pgc</video:player_loc>
      <video:publication_date>2026-03-17T07:31:39.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>81</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13129/this-speed-hack-from-openai-searches-urls-instantaneously</loc>
    <lastmod>2026-03-17T07:31:14.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/720q9lQziGo/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>This speed hack from OpenAI searches URLs instantaneously.</video:title>
      <video:description>System design course: https://interviewready.io/course-page/system-design-course
AI engineering course: https://interviewready.io/course-page/ai-engineering

Speed hack from OpenAI Engineering.

When you paste a link into ChatGPT&apos;s textbox, it starts loading the page in the background. 

So even before you type your query, ChatGPT gains context through the link you paste. 

This means time saved for page loading, vectorization, and KV-cache warmup. The resultant responses are instantaneous.

The concept isn&apos;t new. Instagram does something similar by asking users to add a description while their photos upload in the background. 

Because faster responses lead to better user engagement.

AI Engineering for the win!

#AI #LLMs #RAG</video:description>
      <video:player_loc>https://www.youtube.com/embed/720q9lQziGo</video:player_loc>
      <video:publication_date>2026-03-17T07:31:14.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>63</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13128/zepto-uses-hyperloglog-to-advertise-products</loc>
    <lastmod>2026-03-17T07:30:33.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/UA5R3LgMIMg/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Zepto uses Hyperloglog to advertise products</video:title>
      <video:description>System Design Course at InterviewReady: https://interviewready.io/

In this video we explain how the Q-commerce app Zepto uses the HyperLogLog algorithm to estimate the customer set sizes efficiently. 

We see how Hyperloglog works with a phone number example.

#SystemDesign #Algorithms #Zepto</video:description>
      <video:player_loc>https://www.youtube.com/embed/UA5R3LgMIMg</video:player_loc>
      <video:publication_date>2026-03-17T07:30:33.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>98</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13127/ai-engineering-6-end-to-end-ai-service-in-production</loc>
    <lastmod>2026-03-17T07:30:22.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/MAyX9FhG9K0/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>AI Engineering #6: End-to-End AI Service in Production</video:title>
      <video:description>In this final session, we bring everything together.

You’ll learn how to build a complete AI system that runs in production. We start with data ingestion, move through vector storage and retrieval using a RAG pipeline, then cover latency-tuned inference and real-time monitoring.

We will walk through how these parts connect, and what choices impact performance.

By the end of this class, you will understand the full architecture of a basic LLM app.

AI Course Page: https://interviewready.io/course-page/ai-engineering

#AI #LLMs #Agents</video:description>
      <video:player_loc>https://www.youtube.com/embed/MAyX9FhG9K0</video:player_loc>
      <video:publication_date>2026-03-17T07:30:22.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>3341</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13126/ai-engineering-with-gaurav-sen</loc>
    <lastmod>2026-03-17T07:30:10.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/Nb8gIWPEy0s/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>AI Engineering with Gaurav Sen</video:title>
      <video:description>Join Gaurav Sen for a live session on the future of AI Engineering.
Here we will discuss how the software engineers are upskilling themselves to meet new market requirements.
What you’ll learn:
1. How LLMs and RAG work
2. AI applications beyond the hype
3. The AI Engineering roadmap for developers
We look forward to seeing you live!

AI Course Page: https://interviewready.io/course-page/ai-engineering

#AI #LLMs #Agents</video:description>
      <video:player_loc>https://www.youtube.com/embed/Nb8gIWPEy0s</video:player_loc>
      <video:publication_date>2026-03-17T07:30:10.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>2835</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13125/ai-engineering-5-mcp-agents-and-rag-applications</loc>
    <lastmod>2026-03-17T07:29:59.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/bFwJwOZJtN0/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>AI Engineering #5: MCP, Agents, and RAG Applications</video:title>
      <video:description>This session breaks down how to build real AI systems using:

RAG: Use vector databases to fetch context, reduce hallucinations, and scale LLM apps
Model Context Protocol (MCP): structure prompts, memory, and tools for consistent LLM behavior
Agents: design tool-using, goal-driven agents with planning and retry logic

If you&apos;re shipping LLM-powered features, this talk will explain how these patterns work together.

For live class updates, subscribe to the channel!

00:00 Retrieval Augmented Generation
19:22 Model Context Protocol
30:42 Agents
37:22 AI Course Details

AI Course Page: https://interviewready.io/course-page/ai-engineering

AI Engineering - 1: https://youtube.com/live/jPGaYb853GM
AI Engineering - 2: https://youtu.be/Kl--C14yn6g
AI Engineering - 3: https://youtu.be/A5ozavj8RwY
AI Engineering - 4: https://youtu.be/n7xsHhmlMEQ

#AI #LLMs #Agents</video:description>
      <video:player_loc>https://www.youtube.com/embed/bFwJwOZJtN0</video:player_loc>
      <video:publication_date>2026-03-17T07:29:59.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>2469</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/13124/netflix-s-ai-recommendations-will-now-be-served-on-transformers</loc>
    <lastmod>2026-03-17T07:29:45.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/s9qW8vy080I/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Netflix&apos;s AI recommendations will now be served on Transformers</video:title>
      <video:description>InterviewReady Courses: https://interviewready.io/

Netflix just dropped a bomb.

Its recommendation system is slowly moving to Transformers.

The main idea is to condense multiple specialised systems into a single general-purpose intelligent model.

The video is a short summary.

I will explain the concepts behind transformers in my AI Engineering course at InterviewReady.

Release date: 3rd June 2025
Cheers!

#AI #LLMs #Netflix

You can follow me on:
Twitter: https://twitter.com/gkcs_</video:description>
      <video:player_loc>https://www.youtube.com/embed/s9qW8vy080I</video:player_loc>
      <video:publication_date>2026-03-17T07:29:45.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>87</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8058/google-gemini-can-predict-insulin-resistance</loc>
    <lastmod>2025-09-30T11:47:36.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/B3mijDxV7I4/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Google Gemini can predict Insulin Resistance</video:title>
      <video:description>Google can now predict insulin resistance using Gemini.

Using wearables like Fitbit and Google Watch, the model gathers data from users.

It then helps prevent type-2 diabetes for at-risk patients.

XGBoost for the win :D

If you are looking to transition to AI Engineering, try this course: https://interviewready.io/course-page/ai-engineering

#Gemini #AI #Health</video:description>
      <video:player_loc>https://www.youtube.com/embed/B3mijDxV7I4</video:player_loc>
      <video:publication_date>2025-09-30T11:47:36.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>67</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8039/ai-engineering-cohort-2026</loc>
    <lastmod>2026-02-08T17:41:40.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/RAGEWlo_aPw/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>AI Engineering Cohort 2026</video:title>
      <video:description>Duration: 16 Weeks (28 Feb - 14 Jun)
Primary Audience: Software / AI Engineers
Registration Link: https://aiengg.dev

#AI #Engineering #Cohort</video:description>
      <video:player_loc>https://www.youtube.com/embed/RAGEWlo_aPw</video:player_loc>
      <video:publication_date>2026-02-08T17:41:40.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>103</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8040/ai-engineering-paper-3-vision-transformer-vit-for-images</loc>
    <lastmod>2026-02-05T02:14:01.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/Tx4HXZ7djlA/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>AI Engineering Paper #3: Vision Transformer (ViT) for Images</video:title>
      <video:description>Let&apos;s go over vision transformers. Specifically, how do transformers perform with images at scale?

On 28th February 2026, we are launching our first AI Engineering Cohort.
A focused, intense 16-week program for software engineers who want real, production-grade AI skills.

00:00 QnA
09:47 Paper Reading
50:53 AI Cohort QnA

More details coming soon.
Cheers!

Paper link: https://arxiv.org/pdf/2010.11929
Github resources: https://github.com/InterviewReady/ai-engineering-resources
AI Engineering Cohort: https://aiengg.dev/</video:description>
      <video:player_loc>https://www.youtube.com/embed/Tx4HXZ7djlA</video:player_loc>
      <video:publication_date>2026-02-05T02:14:01.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>3836</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8049/what-is-diffusion-in-ai-engineering</loc>
    <lastmod>2025-11-02T04:43:41.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/Sik3v6A_Bbc/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>What is Diffusion in AI Engineering?</video:title>
      <video:description>https://interviewready.io/course-page/ai-engineering
#llms #AI #Diffusion</video:description>
      <video:player_loc>https://www.youtube.com/embed/Sik3v6A_Bbc</video:player_loc>
      <video:publication_date>2025-11-02T04:43:41.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>131</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8053/message-to-ai-podcasters-please-read-up</loc>
    <lastmod>2025-10-20T12:57:06.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/4uhP-C0YSmg/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Message to AI Podcasters: Please, read up.</video:title>
      <video:description>1. Read up.
2. Improve question quality.
3. Curb the hype.

InterviewReady: https://interviewready.io/

#AGI #AI #LLMs</video:description>
      <video:player_loc>https://www.youtube.com/embed/4uhP-C0YSmg</video:player_loc>
      <video:publication_date>2025-10-20T12:57:06.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>123</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8054/why-agi-is-pure-fantasy</loc>
    <lastmod>2025-10-20T08:56:53.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/3yEQaHvQxlE/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Why AGI is pure fantasy.</video:title>
      <video:description>This video breaks down the current trends in AI, and lists upcoming problems.

We also predict when these problems may be solved, leading us to AGI.

00:00 Agenda
00:33 State of AI in 2025
02:50 World models
04:23 Continuous learning - 2030
07:00 System 2 thinking - 2035
08:37 Self-defined goals - 2040
10:18 AI Governance - 2050?
11:13 A short rant...

References mentioned
LBMs: https://www.tri.global/research/unified-world-models-coupling-video-and-action-diffusion-pretraining-large-robotic
JEPA: https://arxiv.org/abs/2301.08243
Thinking fast and slow: https://amzn.to/47EkRB1

Who this is for
If you are worried about AGI, watch this video.

Call to action
Let&apos;s ask the hosts of AI podcasts to prepare their questions better. The impromptu style of questioning wastes time and opportunities.

To learn more about AI Engineering, try this course: https://interviewready.io/course-page/ai-engineering

#AI #AGI #Timeline</video:description>
      <video:player_loc>https://www.youtube.com/embed/3yEQaHvQxlE</video:player_loc>
      <video:publication_date>2025-10-20T08:56:53.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>822</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8057/the-future-of-robotics-with-large-behavioral-models</loc>
    <lastmod>2025-10-08T22:10:52.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/8D6NdJC_RSo/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>The Future of Robotics with Large Behavioral Models</video:title>
      <video:description>Toyota&apos;s diffusion-based foundation models learn to perform action sequences from user commands.

#LBMs #AI #Robotics</video:description>
      <video:player_loc>https://www.youtube.com/embed/8D6NdJC_RSo</video:player_loc>
      <video:publication_date>2025-10-08T22:10:52.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>100</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8061/a-rant-on-ai-2027</loc>
    <lastmod>2025-09-03T14:49:11.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/zNlup8r6zTk/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>A rant on AI-2027</video:title>
      <video:description>Watch A rant on AI-2027 on Vidert</video:description>
      <video:player_loc>https://www.youtube.com/embed/zNlup8r6zTk</video:player_loc>
      <video:publication_date>2025-09-03T14:49:11.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>180</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8063/ai-trends-in-2025</loc>
    <lastmod>2025-08-21T19:20:44.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/_bbuRFT2l-Q/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>AI Trends in 2025</video:title>
      <video:description>AI Engineering Course: https://interviewready.io/course-page/ai-engineering

We explore the likely and upcoming developments in AI.

1. Current Trends
2. Market Forces
3. Likely Outcomes

00:00 Agenda
00:46 AI Trends in 2025
05:04 Market Forces
13:15 Likely Future Outcomes
16:12 Thank you!
16:44 Conspiracy Theory :)

#LLMs #AI #Trends</video:description>
      <video:player_loc>https://www.youtube.com/embed/_bbuRFT2l-Q</video:player_loc>
      <video:publication_date>2025-08-21T19:20:44.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>1182</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8067/here-are-5-research-papers-to-transition-to-ai</loc>
    <lastmod>2025-08-02T13:58:22.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/tNME_uaFypQ/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Here are 5 research papers to transition to AI</video:title>
      <video:description>Resources: https://github.com/InterviewReady/ai-engineering-resources
AI Engineering Course: https://interviewready.io/

Here are the top 5 AI engineering papers if you are looking to transition from software engineering to AI.

#AI #Recommendations #GitHub</video:description>
      <video:player_loc>https://www.youtube.com/embed/tNME_uaFypQ</video:player_loc>
      <video:publication_date>2025-08-02T13:58:22.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>88</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8068/philosophy-meets-ai-platonic-representations-could-be-real</loc>
    <lastmod>2025-07-20T03:35:07.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/TgiF20Edqlg/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Philosophy meets AI. Platonic representations could be real...</video:title>
      <video:description>AI Engineering course at InterviewReady: https://interviewready.io/course-page/ai-engineering

In this video, we dive into a new paper on &quot;Platonic representations&quot;. 

1. What are Platonic forms?
2. Is AI validating the hypothesis?
3. Why are the results so shocking?

This video is worth watching if you’re a philosophy student or an AI engineer.

00:00 The Gist
00:21 Platonic Object Representation
01:30 Facts supporting the hypothesis
05:34 Why would this be true
07:34 How does this affect us?
08:51 My opinion

Paper Links: https://cdn.interviewready.io/Platonic+Embeddings.pdf
Course Link: https://interviewready.io/course-page/ai-engineering

Cheers!

#Philosophy #LLMs #AI</video:description>
      <video:player_loc>https://www.youtube.com/embed/TgiF20Edqlg</video:player_loc>
      <video:publication_date>2025-07-20T03:35:07.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>592</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8071/uber-engineering-large-language-models-for-invoice-processing</loc>
    <lastmod>2025-06-29T05:22:47.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/RSJxOvsmyA0/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Uber Engineering: Large Language Models for invoice processing.</video:title>
      <video:description>The Uber Engineering team has been working with GenAI applications for a while now.

This is an interesting use case of them automating manual invoice processing.

If you are looking for a structured course on AI engineering, try: 
https://interviewready.io/course-page/ai-engineering

Cheers!

#GenAI #LLMs #Uber</video:description>
      <video:player_loc>https://www.youtube.com/embed/RSJxOvsmyA0</video:player_loc>
      <video:publication_date>2025-06-29T05:22:47.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>76</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8073/does-chatgpt-make-you-dumber-mit-study-explained</loc>
    <lastmod>2025-06-25T10:01:07.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/g6DYjKLRRGA/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Does ChatGPT make you dumber? MIT Study Explained.</video:title>
      <video:description>AI engineering course at InterviewReady: https://interviewready.io/

MIT ran a four-month study with 54 students to measure how ChatGPT affects thinking and memory. 

They tested two groups: one that used ChatGPT from the start, and another that wrote essays first, then used ChatGPT for feedback.

Findings:

-- Students who used ChatGPT before writing relied heavily on it, showed less critical thinking, and had lower memory recall.

-- Those who wrote first and then got AI feedback performed better overall.

-- Social media massively misinterpreted the results, spreading nonsense like “ChatGPT makes you stupid.”

#LLMs #AI #MIT</video:description>
      <video:player_loc>https://www.youtube.com/embed/g6DYjKLRRGA</video:player_loc>
      <video:publication_date>2025-06-25T10:01:07.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>118</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8074/the-questionable-ethics-of-openai</loc>
    <lastmod>2025-06-19T15:22:07.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/3FOIPK3-P-s/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>The (questionable) ethics of OpenAI.</video:title>
      <video:description>AI engineering course at InterviewReady: https://interviewready.io/

I came across a video from Joseph Gordon-Levitt about data harvesting for AI, and it made me wonder...

Is it ethical to train models on publicly available (even purchaseable) data, and then cache it forever in a large langauge model?

After all, these models are similar to compression engines, which take data and try to condense them into approximate functions.

So the more you run these models, the more you use patterns which have been derived from someone else&apos;s work.

This isn&apos;t a problem with humans. We condense data into information all the time. We then generate art using pre-existing knowledge and styles.

But AI? It has infinite scale (practically). Is it ethical for corporations to pay just once for their training data?

Let me know your thoughts.


#LLMs #AI</video:description>
      <video:player_loc>https://www.youtube.com/embed/3FOIPK3-P-s</video:player_loc>
      <video:publication_date>2025-06-19T15:22:07.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>135</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8075/illusion-of-thinking</loc>
    <lastmod>2025-06-17T18:29:24.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/vFYzrdQNu7Q/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Illusion of thinking</video:title>
      <video:description>AI engineering course at InterviewReady: https://interviewready.io/

Can LLMs reason at scale?
Apple and Anthropic try to answer this question.

#AI #LLMs #Reasoning</video:description>
      <video:player_loc>https://www.youtube.com/embed/vFYzrdQNu7Q</video:player_loc>
      <video:publication_date>2025-06-17T18:29:24.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>85</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/8036/the-moltbook-posts-were-fake-with-humans-posing-as-ai-for-engagement</loc>
    <lastmod>2026-02-14T12:54:28.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/jkSELN-HVXQ/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>The Moltbook posts were fake (with humans posing as AI for engagement)</video:title>
      <video:description>If you are worried about AI taking over the world, please don&apos;t. 
AI CEOs would like you to believe that AGI is near. But there is no research basis for such an opinion.

Stay skeptical, stay safe.
Cheers :)</video:description>
      <video:player_loc>https://www.youtube.com/embed/jkSELN-HVXQ</video:player_loc>
      <video:publication_date>2026-02-14T12:54:28.000Z</video:publication_date>
      <video:uploader>Gaurav Sen</video:uploader>
      <video:duration>80</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/7802/advice-from-a-mathematician-jacobi</loc>
    <lastmod>2024-07-14T14:00:04.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/4JAUsDqiV70/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>Advice from a Mathematician (Jacobi)</video:title>
      <video:description>🚀 https://neetcode.io/ - Get lifetime access to every course I ever create!

Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
🐦 Twitter: https://twitter.com/neetcode1
📷 Instagram: https://www.instagram.com/neetcodeio/
🎵 TikTok: https://www.tiktok.com/@neetcode.io



#coding #leetcode #python</video:description>
      <video:player_loc>https://www.youtube.com/embed/4JAUsDqiV70</video:player_loc>
      <video:publication_date>2024-07-14T14:00:04.000Z</video:publication_date>
      <video:uploader>NeetCode</video:uploader>
      <video:duration>60</video:duration>
      <video:family_friendly>yes</video:family_friendly>
      <video:live>no</video:live>
    </video:video>
  </url>
  <url>
    <loc>https://vidert.com/v/cs-fundamentals/video/7798/this-video-will-change-your-mind-about-the-ai-hype</loc>
    <lastmod>2024-07-21T14:00:48.000Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.5</priority>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/uB9yZenVLzg/maxresdefault.jpg</video:thumbnail_loc>
      <video:title>This video will change your mind about the AI hype</video:title>
      <video:description>🚀 https://neetcode.io


Checkout my second Channel:  @NeetCodeIO 

🥷 Discord: https://discord.gg/ddjKRXPqtk
🧑‍💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/
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10:21 - How fast will AI improve?
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Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO

🥷 Discord: https://discord.gg/ddjKRXPqtk
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      <video:description>🚀 https://neetcode.io/ - A better way to prepare for technical interviews

Checkout my second Channel:  https://www.youtube.com/@NeetCodeIO


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