<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Computer Vision on MacWorks</title><link>https://macworks.dev/tags/computer-vision/</link><description>Recent content in Computer Vision on MacWorks</description><generator>Hugo</generator><language>en</language><atom:link href="https://macworks.dev/tags/computer-vision/index.xml" rel="self" type="application/rss+xml"/><item><title>Youtube Tech Channels</title><link>https://macworks.dev/docs/week/tech-videos/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/week/tech-videos/</guid><description>&lt;h1 id="tech-videos--week-of-2026-05-08-to-2026-05-15"&gt;Tech Videos — Week of 2026-05-08 to 2026-05-15&lt;a class="anchor" href="#tech-videos--week-of-2026-05-08-to-2026-05-15"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="watch-first"&gt;Watch First&lt;a class="anchor" href="#watch-first"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;The single best video this week is the Dwarkesh Patel channel&amp;rsquo;s &lt;a href="#"&gt;Building AlphaGo from scratch – Eric Jang&lt;/a&gt;. It offers a highly technical, rigorous breakdown of Monte Carlo Tree Search, bypassing the usual LLM hype to connect classical game-solving architectures directly to the reality of model reasoning loops.&lt;/p&gt;
&lt;h2 id="week-in-review"&gt;Week in Review&lt;a class="anchor" href="#week-in-review"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;The dominant theme this week is the fundamental architectural shift required to support autonomous agents, moving away from stateless backends to stateful continuous compute and event-sourced logging. We are also seeing a stark collision between AI-generated volume and traditional engineering guardrails, highlighted by open-source maintainer burnout and devastating supply-chain attacks exploiting CI/CD cache vulnerabilities.&lt;/p&gt;</description></item><item><title>2026-05-08</title><link>https://macworks.dev/docs/archives/tech-videos/tech-videos-2026-05-08/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/archives/tech-videos/tech-videos-2026-05-08/</guid><description>&lt;details&gt;
&lt;summary&gt;Sources&lt;/summary&gt;
&lt;div class="markdown-inner"&gt;
&lt;ul&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UULKPca3kwwd-B59HNr-_lvA&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;AI Engineer&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUESLZhusAkFfsNsApnjF_Cg&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;All-In Podcast&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUXUPKJO5MZQN11PqgIvyuvQ&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Andrej Karpathy&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUrDwWp7EBBv4NwvScIpBDOA&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Anthropic&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUE_M8A5yxnLfW0KghEeajjw&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Apple&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUwrVwiJllwhJUKXKmjLcckQ&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Apple Developer&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUdoadna9HFHsxXWhafhNvKw&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;AWS Events&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUZgt6AzoyjslHTC9dz0UoTw&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;ByteByteGo&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UU9-y-6csu5WGm29I7JiwpnA&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Computerphile&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UU6YYHJzM6PhZ2Yey9BQiUaw&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Cursor&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUXl4i9dYBrFOabk0xGmbkRA&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Dwarkesh Patel&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUlWTCPVi-AU9TeCN6FkGARg&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;EO&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUsBjURrPoezykLs9EqgamOA&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Fireship&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UU7c3Kb6jYCRj4JOHHZTxKsQ&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;GitHub&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUJS9pqu9BzkAMNTmzNMNhvg&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Google Cloud Tech&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUP7jMXSY2xbc3KCAE0MHQ-A&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Google DeepMind&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UU_x5XG1OV2P6uZZ5FSM9Ttw&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Google for Developers&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UU2ggjtuuWvxrHHHiaDH1dlQ&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Hung-yi Lee&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UU6t1O76G0jYXOAoYCm153dA&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Lenny&amp;#39;s Podcast&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUJIfeSCssxSC_Dhc5s7woww&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Lex Clips&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUSHZKyawb77ixDdsGog4iWA&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Lex Fridman&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUWIzrKzN4KY6BPU8hsk880Q&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Life at Google&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUBJycsmduvYEL83R_U4JriQ&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Marques Brownlee&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUFtEEv80fQVKkD4h1PF-Xqw&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Microsoft&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUSI7h9hydQ40K5MJHnCrQvw&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;No Priors: AI, Machine Learning, Tech, &amp;amp; Startups&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUoxcjq-8xIDTYp3uz647V5A&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Numberphile&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUHuiy8bXnmK5nisYHUd1J5g&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;NVIDIA&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUXZCJLdBC09xxGZ6gcdrc6A&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;OpenAI&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUYqxnCFtaC4-iC_bwt2bRLg&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Perplexity&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUTpmmkp1E4nmZqWPS-dl5bg&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Quanta Magazine&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUY3YECgeBcLCzIrFLP4gblw&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Slack&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUPbwhExawYrn9xxI21TFfyw&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;The Pragmatic Engineer&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://www.youtube.com/playlist?list=UUs5Y5_7XK8HLDX0SLNwkd3w&amp;amp;bq_guid_format=yt%3Avideo%3AVIDEO_ID"&gt;Visual Studio Code&lt;/a&gt;&lt;/li&gt;

&lt;/ul&gt;
&lt;/div&gt;
&lt;/details&gt;


&lt;h1 id="tech-videos--2026-05-08"&gt;Tech Videos — 2026-05-08&lt;a class="anchor" href="#tech-videos--2026-05-08"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="watch-first"&gt;Watch First&lt;a class="anchor" href="#watch-first"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;&lt;a href="https://www.youtube.com/watch?v=VhfAVA3BG2I"&gt;How Transformers Finally Ate Vision – Isaac Robinson, Roboflow&lt;/a&gt; is the essential watch today for a clear, technical breakdown of how Vision Transformers (ViTs) defeated CNNs despite having a far worse O(n⁴) compute scaling factor. It perfectly illustrates how massive self-supervised pre-training strategies overrode the need for hand-crafted inductive biases in computer vision architecture.&lt;/p&gt;</description></item></channel></rss>