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    <dc:creator>amy</dc:creator><dc:subject>machine_learning</dc:subject>
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Analyze massive collections: Easily search, filter, transcribe and organize thousands of documents, including PDFs, images, and audio files.
Leverage generative AI: Use Gemini's capabilities to answer research questions together with supporting evidence found in your documents.
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    <dc:creator>amy</dc:creator><description><![CDATA[A living directory of ways communities resist AI harms—and build alternatives worth fighting for.]]></description>
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    <dc:creator>amy</dc:creator><description><![CDATA[In Magnifica Humanitas, the Pope decries the concentration of technological power in a few global players.]]></description>
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    <dc:creator>amy</dc:creator><description><![CDATA[Marking the 135th anniversary of Rerum novarum, Pope Leo XIV releases his first encyclical, entitled ‘Magnifica humanitas: On Safeguarding the Human ...]]></description>
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    <title>UK Institute Is Hunting for Dangers Lurking in AI (Gift Article)</title>
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    <dc:creator>amy</dc:creator><description><![CDATA[The government’s A.I. Security Institute, staffed by alumni from OpenAI and Google, is becoming a model for countries grappling with A.I.’s emerging risks.]]></description>
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    <dc:creator>amy</dc:creator><description><![CDATA[“If people believe they will be judged more harshly for using AI, they are less likely to adopt it—regardless of their capability."]]></description>
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    <title>Too Much Is Happening Too Fast</title>
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    <dc:creator>amy</dc:creator><description><![CDATA[The AI boom is meant to overwhelm you.]]></description>
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    <title>Learn AI Layer by Layer</title>
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    <dc:creator>amy</dc:creator><description><![CDATA[An interactive, visual guide to understanding AI from first principles.
Rob Ennals]]></description>
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    <title>Opinion | Silicon Valley Is Bracing for a Permanent Underclass</title>
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<item rdf:about="https://bmjgroup.com/substantial-amount-of-medical-information-provided-by-popular-chatbots-inaccurate-and-incomplete/">
    <title>Substantial amount of medical information provided by popular chatbots inaccurate and incomplete</title>
    <dc:date>2026-04-17T13:59:03+00:00</dc:date>
    <link>https://bmjgroup.com/substantial-amount-of-medical-information-provided-by-popular-chatbots-inaccurate-and-incomplete/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Half of answers to evidence based questions “somewhat” or “highly” problematic Public education and oversight needed to avoid amplifying misinformation, urge researchers A substantial amount of medical information provided by 5 popular chatbots is inaccurate and incomplete, with half of the answers to clear evidence based questions “somewhat” or “highly” problematic, show the results of]]></description>
<dc:subject>machine_learning health</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:89625d9abc15/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:health"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.bloodinthemachine.com/p/why-the-ai-backlash-has-turned-violent">
    <title>Why the AI backlash has turned violent - by Brian Merchant</title>
    <dc:date>2026-04-15T22:33:08+00:00</dc:date>
    <link>https://www.bloodinthemachine.com/p/why-the-ai-backlash-has-turned-violent</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning society</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:09974b3ab529/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:society"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.youtube.com/watch?v=kwSVtQ7dziU&amp;trk=feed_main-feed-card_ingested-content-summary-external-video-content">
    <title>Skill Issue: Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI</title>
    <dc:date>2026-04-15T13:54:28+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=kwSVtQ7dziU&amp;trk=feed_main-feed-card_ingested-content-summary-external-video-content</link>
    <dc:creator>amy</dc:creator><description><![CDATA[What happens when AI agents can design experiments, collect data, and improve â without a human in the loop? Andrej Karpathy joins Sarah Guo on the state of ...]]></description>
<dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:2a16cc0b945e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://gist.github.com/imaurer/00059ab1c60abab16804ad8e22715bf1">
    <title>This guide covers running **Gemma 4 26B MOE** (Mixture of Experts) locally on an Apple Silicon Mac using llama.cpp with memory-mapped files. The MOE architecture activates only 8 of 128 experts per token, making it incredibly efficient. · GitHub</title>
    <dc:date>2026-04-15T13:05:50+00:00</dc:date>
    <link>https://gist.github.com/imaurer/00059ab1c60abab16804ad8e22715bf1</link>
    <dc:creator>amy</dc:creator><description><![CDATA[This guide covers running **Gemma 4 26B MOE** (Mixture of Experts) locally on an Apple Silicon Mac using llama.cpp with memory-mapped files. The MOE architecture activates only 8 of 128 experts per token, making it incredibly efficient]]></description>
<dc:subject>machine_learning google</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:33df53d81bc2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/expanso-io/demo-gemma-4">
    <title>GitHub - expanso-io/demo-gemma-4 · GitHub</title>
    <dc:date>2026-04-15T13:01:06+00:00</dc:date>
    <link>https://github.com/expanso-io/demo-gemma-4</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Turn any webcam into a structured data source. One frame, four analyses — object detection, OCR, scene description, and safety judgment — all running on a $200 Jetson at the edge.]]></description>
<dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:341407abae3b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nytimes.com/2026/04/13/well/ai-chatbots-cancer.html">
    <title>He Warned About the Dangers of A.I. If Only His Father Had Listened.</title>
    <dc:date>2026-04-13T14:02:25+00:00</dc:date>
    <link>https://www.nytimes.com/2026/04/13/well/ai-chatbots-cancer.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Ben Riley was already writing about the risks of chatbots when his dad started trusting A.I. over his doctor.]]></description>
<dc:subject>machine_learning health</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:d22054c10365/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:health"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://hollisrobbinsanecdotal.substack.com/p/for-the-love-of-god-learn-to-paragraph">
    <title>For the love of God, learn to paragraph - by Hollis Robbins</title>
    <dc:date>2026-04-11T16:18:00+00:00</dc:date>
    <link>https://hollisrobbinsanecdotal.substack.com/p/for-the-love-of-god-learn-to-paragraph</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning llms writing</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:ae8b0282a85c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:llms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:writing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://fortune.com/2026/04/02/mercor-ai-startup-security-incident-10-billion/?trk=feed_main-feed-card_feed-article-content">
    <title>Mercor, a $10 billion AI startup, confirms it was caught up in a major security incident</title>
    <dc:date>2026-04-11T16:03:38+00:00</dc:date>
    <link>https://fortune.com/2026/04/02/mercor-ai-startup-security-incident-10-billion/?trk=feed_main-feed-card_feed-article-content</link>
    <dc:creator>amy</dc:creator><description><![CDATA[The high-flying startup that provides AI training data to OpenAI, Anthropic, and Meta confirms it was hit by a “supply-chain attack.”]]></description>
<dc:subject>machine_learning security</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:6b71fc45c64c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:security"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.anildash.com/2026/04/10/y2k-2.0-ai-security/?trk=feed_main-feed-card_feed-article-content">
    <title>Y2K 2.0: The AI security reckoning - Anil Dash</title>
    <dc:date>2026-04-11T15:19:46+00:00</dc:date>
    <link>https://www.anildash.com/2026/04/10/y2k-2.0-ai-security/?trk=feed_main-feed-card_feed-article-content</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning security</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:5dcc9bae604e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:security"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://futurism.com/artificial-intelligence/sam-altman-technical-coding">
    <title>Sam Altman's Coworkers Say He Can Barely Code and Misunderstands Basic Machine Learning Concepts</title>
    <dc:date>2026-04-08T16:26:27+00:00</dc:date>
    <link>https://futurism.com/artificial-intelligence/sam-altman-technical-coding</link>
    <dc:creator>amy</dc:creator><description><![CDATA[The OpenAI CEO reportedly confuses basic coding and machine learning terms, numerous insiders have admitted.]]></description>
<dc:subject>machine_learning tech_bros</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:24ca8a986d27/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:tech_bros"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.propublica.org/article/federal-government-ai-cautionary-tales">
    <title>The Federal Government Is Rushing Toward AI. Our Reporting Offers Three Cautionary Tales.</title>
    <dc:date>2026-04-06T14:28:56+00:00</dc:date>
    <link>https://www.propublica.org/article/federal-government-ai-cautionary-tales</link>
    <dc:creator>amy</dc:creator><description><![CDATA[We’ve been reporting on cybersecurity for years. As President Donald Trump and his Cabinet say artificial intelligence will transform the nation, the messaging isn’t new. It follows a familiar pattern.]]></description>
<dc:subject>machine_learning security</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:3237c85692da/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:security"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://karpathy.bearblog.dev/year-in-review-2025/">
    <title>2025 LLM Year in Review | karpathy</title>
    <dc:date>2026-04-06T01:18:36+00:00</dc:date>
    <link>https://karpathy.bearblog.dev/year-in-review-2025/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:1097b4204811/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://distributism.ai/">
    <title>Distributism</title>
    <dc:date>2026-03-31T13:49:02+00:00</dc:date>
    <link>https://distributism.ai/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[The open registry for Model Context Protocol. Browse 120+ servers across 12 categories. Install MCP integrations into your AI assistant with a single command.]]></description>
<dc:subject>machine_learning agents</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:6a4fb075145d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:agents"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.argmin.net/p/the-unpredictability-conundrum#_">
    <title>The unpredictability conundrum</title>
    <dc:date>2026-03-28T18:42:21+00:00</dc:date>
    <link>https://www.argmin.net/p/the-unpredictability-conundrum#_</link>
    <dc:creator>amy</dc:creator><description><![CDATA[How do we establish the limits of prediction?]]></description>
<dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:170eea368ffb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.linkedin.com/pulse/next-transformation-finance-workflow-redesign-michele-bolognesi-jd7ae?trk=feed_main-feed-card_reshare_feed-article-content">
    <title>The Next Transformation in Finance Will Be Workflow Redesign</title>
    <dc:date>2026-03-28T18:24:02+00:00</dc:date>
    <link>https://www.linkedin.com/pulse/next-transformation-finance-workflow-redesign-michele-bolognesi-jd7ae?trk=feed_main-feed-card_reshare_feed-article-content</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning agents</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:67a3085fec31/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:agents"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.argmin.net/p/benchmarking-culture">
    <title>Benchmarking Culture - by Ben Recht - arg min</title>
    <dc:date>2026-03-28T17:06:15+00:00</dc:date>
    <link>https://www.argmin.net/p/benchmarking-culture</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:217f7e5e6958/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nature.com/articles/d41586-026-00893-2">
    <title>Major conference catches illicit AI use — and rejects hundreds of papers</title>
    <dc:date>2026-03-26T03:34:08+00:00</dc:date>
    <link>https://www.nature.com/articles/d41586-026-00893-2</link>
    <dc:creator>amy</dc:creator><description><![CDATA[The papers’ watermarks allowed organizers to detect use of large language models in peer review.]]></description>
<dc:subject>machine_learning ethics amusements</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:18c9f5df0527/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:amusements"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://cloud.google.com/blog/products/containers-kubernetes/llm-d-officially-a-cncf-sandbox-project?trk=feed_main-feed-card_comment-text">
    <title>llm-d officially a CNCF Sandbox project | Google Cloud Blog</title>
    <dc:date>2026-03-26T00:15:59+00:00</dc:date>
    <link>https://cloud.google.com/blog/products/containers-kubernetes/llm-d-officially-a-cncf-sandbox-project?trk=feed_main-feed-card_comment-text</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Sean Horgan
Product Manager
Abdel Sghiouar
Senior Cloud Developer Advocate]]></description>
<dc:subject>machine_learning google</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:76e7df5789ff/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://biblioracle.substack.com/p/addressing-the-transactional-model">
    <title>Addressing the Transactional Model of School</title>
    <dc:date>2026-03-25T16:49:28+00:00</dc:date>
    <link>https://biblioracle.substack.com/p/addressing-the-transactional-model</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning education</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:b376e9e87504/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:education"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://simonwillison.net/guides/agentic-engineering-patterns/using-git-with-coding-agents/">
    <title>Using Git with coding agents - Agentic Engineering Patterns</title>
    <dc:date>2026-03-21T22:28:39+00:00</dc:date>
    <link>https://simonwillison.net/guides/agentic-engineering-patterns/using-git-with-coding-agents/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Using Git with coding agents - Agentic Engineering Patterns]]></description>
<dc:subject>machine_learning agents design_patterns</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:488f829d85bc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:design_patterns"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://hollisrobbinsanecdotal.substack.com/p/metannoying">
    <title>Metannoying</title>
    <dc:date>2026-03-21T18:08:27+00:00</dc:date>
    <link>https://hollisrobbinsanecdotal.substack.com/p/metannoying</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Your brain on "not X but Y"]]></description>
<dc:subject>machine_learning llms</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:8e3855dc8cb5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:llms"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.wired.com/story/linkedin-invited-my-ai-cofounder-to-give-a-corporate-talk-then-banned-it/?trk=feed_main-feed-card_feed-article-content">
    <title>My AI Agent ‘Cofounder’ Conquered LinkedIn. Then It Got Banned</title>
    <dc:date>2026-03-21T16:12:41+00:00</dc:date>
    <link>https://www.wired.com/story/linkedin-invited-my-ai-cofounder-to-give-a-corporate-talk-then-banned-it/?trk=feed_main-feed-card_feed-article-content</link>
    <dc:creator>amy</dc:creator><description><![CDATA[When social media is constantly pushing people to use AI, why not let AI agents participate?]]></description>
<dc:subject>machine_learning amusements</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:0570d9ae987c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:amusements"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://verily.com/perspectives/verily-nvidia-ai-workbench">
    <title>Tech Blog #4: NVIDIA AI stack available now for researchers on Verily Pre</title>
    <dc:date>2026-03-19T22:22:17+00:00</dc:date>
    <link>https://verily.com/perspectives/verily-nvidia-ai-workbench</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Verily has just announced additional apps and scalable hardware now available in Verily Workbench, including a suite of NVIDIA tools alongside enhanced support for the latest NVIDIA GPUs — NVIDIA DGX B200, NVIDIA H200 Tensor Core, and NVIDIA H100 Tensor Core GPUs.]]></description>
<dc:subject>machine_learning verily</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:be3947aa31bf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:verily"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://biblioracle.substack.com/p/in-appreciation-of-unique-intelligences?_bhlid=6ca989c64ffe671e7cd546992e4f053cf5bcaeeb">
    <title>In Appreciation of Unique Intelligences - by John Warner</title>
    <dc:date>2026-03-18T18:01:50+00:00</dc:date>
    <link>https://biblioracle.substack.com/p/in-appreciation-of-unique-intelligences?_bhlid=6ca989c64ffe671e7cd546992e4f053cf5bcaeeb</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning society</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:28b26187d781/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:society"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nytimes.com/2026/03/12/magazine/ai-coding-programming-jobs-claude-chatgpt.html?smid=nytcore-ios-share">
    <title>Coding After Coders: The End of Computer Programming as We Know It</title>
    <dc:date>2026-03-12T18:27:05+00:00</dc:date>
    <link>https://www.nytimes.com/2026/03/12/magazine/ai-coding-programming-jobs-claude-chatgpt.html?smid=nytcore-ios-share</link>
    <dc:creator>amy</dc:creator><description><![CDATA[In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird.]]></description>
<dc:subject>machine_learning llms</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:ed2d5c2af6c4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:llms"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.scottsmitelli.com/articles/you-dont-have-to/?_bhlid=526b9a36f0b756d36af276f799b72731cb0dc46d">
    <title>You don't have to if you don't want to.</title>
    <dc:date>2026-03-11T12:56:18+00:00</dc:date>
    <link>https://www.scottsmitelli.com/articles/you-dont-have-to/?_bhlid=526b9a36f0b756d36af276f799b72731cb0dc46d</link>
    <dc:creator>amy</dc:creator><description><![CDATA["In the year 5555, your arms are hangin' limp at your sides, your legs got nothing to do, some machine doin' that for you." Zager and Evans sang these words in 1969. Now, thirty-five centuries ahead of schedule, it's never been easier to tell the world "I didn't care about this and I don't care about you."]]></description>
<dc:subject>machine_learning llms</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:f45308891413/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:llms"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://simonwillison.net/guides/agentic-engineering-patterns/interactive-explanations/">
    <title>Interactive explanations - Agentic Engineering Patterns - Simon Willison's Weblog</title>
    <dc:date>2026-02-28T23:37:52+00:00</dc:date>
    <link>https://simonwillison.net/guides/agentic-engineering-patterns/interactive-explanations/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning agents design_patterns</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:4748ce6f6274/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:design_patterns"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.anildash.com/2026/02/23/taking-action-ai-harms/?trk=feed_main-feed-card_reshare_feed-article-content">
    <title>Taking action against AI harms - Anil Dash</title>
    <dc:date>2026-02-28T18:25:21+00:00</dc:date>
    <link>https://www.anildash.com/2026/02/23/taking-action-ai-harms/?trk=feed_main-feed-card_reshare_feed-article-content</link>
    <dc:creator>amy</dc:creator><dc:subject>society machine_learning activism</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:f4b864a340a1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:society"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:activism"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.anildash.com/2026/02/18/threatening-kids-with-ai/">
    <title>How did we end up threatening our kids’ lives with AI? - Anil Dash</title>
    <dc:date>2026-02-28T05:09:48+00:00</dc:date>
    <link>https://www.anildash.com/2026/02/18/threatening-kids-with-ai/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning culture tech</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:2327d9fda983/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:tech"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://jasmi.news/p/claude-code">
    <title>My Claude Code Psychosis - by Jasmine Sun</title>
    <dc:date>2026-02-27T17:08:11+00:00</dc:date>
    <link>https://jasmi.news/p/claude-code</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning culture</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:e3f5f36f2e36/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:culture"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://time.com/7380854/exclusive-anthropic-drops-flagship-safety-pledge/">
    <title>Anthropic Drops Flagship Safety Pledge</title>
    <dc:date>2026-02-26T02:45:34+00:00</dc:date>
    <link>https://time.com/7380854/exclusive-anthropic-drops-flagship-safety-pledge/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[In an abrupt shift, the company may release future AI models without ironclad safety guarantees]]></description>
<dc:subject>machine_learning ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:ad739c7aadd7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.actioncookbook.com/welcome-to-the-group-chat/?_bhlid=103dacd94d1abcd157292b57cffa0a5d7bd4ae32">
    <title>Welcome to the Group Chat</title>
    <dc:date>2026-02-24T01:53:23+00:00</dc:date>
    <link>https://www.actioncookbook.com/welcome-to-the-group-chat/?_bhlid=103dacd94d1abcd157292b57cffa0a5d7bd4ae32</link>
    <dc:creator>amy</dc:creator><description><![CDATA[There's a new member, whether you like it or not!]]></description>
<dc:subject>machine_learning llms amusements</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:d417b284551c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:llms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:amusements"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.todayintabs.com/p/a-i-isn-t-people?_bhlid=e27ba0127cb6dedfeeaf31a6565fdc4109d6d47b">
    <title>A.I. Isn't People Today in tabs</title>
    <dc:date>2026-02-24T01:32:01+00:00</dc:date>
    <link>https://www.todayintabs.com/p/a-i-isn-t-people?_bhlid=e27ba0127cb6dedfeeaf31a6565fdc4109d6d47b</link>
    <dc:creator>amy</dc:creator><description><![CDATA[How many Reddit posts does it take to learn to read?]]></description>
<dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:7f756b74c5c8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://karpathy.github.io/2026/02/12/microgpt/?_bhlid=460096fe63afc280aac68847fd60c174d5774319">
    <title>microgpt</title>
    <dc:date>2026-02-24T01:09:48+00:00</dc:date>
    <link>https://karpathy.github.io/2026/02/12/microgpt/?_bhlid=460096fe63afc280aac68847fd60c174d5774319</link>
    <dc:creator>amy</dc:creator><description><![CDATA[This is a brief guide to my new art project microgpt, a single file of 200 lines of pure Python with no dependencies that trains and inferences a GPT. This file contains the full algorithmic content of what is needed: dataset of documents, tokenizer, autograd engine, a GPT-2-like neural network architecture, the Adam optimizer, training loop, and inference loop. Everything else is just efficiency. I cannot simplify this any further. This script is the culmination of multiple projects (micrograd, makemore, nanogpt, etc.) and a decade-long obsession to simplify LLMs to their bare essentials, and I think it is beautiful 🥹]]></description>
<dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:13ff4aa20e84/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.404media.co/meta-director-of-ai-safety-allows-ai-agent-to-accidentally-delete-her-inbox/">
    <title>Meta Director of AI Safety Allows AI Agent to Accidentally Delete Her Inbox</title>
    <dc:date>2026-02-23T16:42:18+00:00</dc:date>
    <link>https://www.404media.co/meta-director-of-ai-safety-allows-ai-agent-to-accidentally-delete-her-inbox/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:24ed5a30f90f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nytimes.com/2026/02/21/technology/ai-boom-backlash.html">
    <title>People Loved the Dot-Com Boom. The A.I. Boom, Not So Much.</title>
    <dc:date>2026-02-22T16:15:50+00:00</dc:date>
    <link>https://www.nytimes.com/2026/02/21/technology/ai-boom-backlash.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Tech leaders are beginning to worry about the public’s underwhelming enthusiasm for their plans to remake the world with artificial intelligence. Will that burst the bubble?]]></description>
<dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:995acae623c2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://aftermath.site/anthropic-claude-ai-leftist-technology/">
    <title>The Left Doesn't Hate Technology, We Hate Being Exploited</title>
    <dc:date>2026-02-22T14:29:49+00:00</dc:date>
    <link>https://aftermath.site/anthropic-claude-ai-leftist-technology/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Techno-cynics are all just wounded techno-optimists.]]></description>
<dc:subject>machine_learning tech</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:8890c7e994ab/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:tech"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nytimes.com/2026/02/12/us/elliq-ai-robot-senior-companion.html?smid=nytcore-ios-share">
    <title>To Stay in Her Home, She Let In an A.I. Robot</title>
    <dc:date>2026-02-22T14:16:45+00:00</dc:date>
    <link>https://www.nytimes.com/2026/02/12/us/elliq-ai-robot-senior-companion.html?smid=nytcore-ios-share</link>
    <dc:creator>amy</dc:creator><description><![CDATA[At 85, Jan Worrell lived alone on a remote corner of the Washington coast. Could ElliQ become her companion?]]></description>
<dc:subject>machine_learning aging</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:acf4ffb3b21f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aging"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/2602.06176">
    <title>Large Language Model Reasoning Failures</title>
    <dc:date>2026-02-17T03:39:00+00:00</dc:date>
    <link>https://arxiv.org/abs/2602.06176</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Large Language Models (LLMs) have exhibited remarkable reasoning capabilities, achieving impressive results across a wide range of tasks. Despite these advances, significant reasoning failures persist, occurring even in seemingly simple scenarios. To systematically understand and address these shortcomings, we present the first comprehensive survey dedicated to reasoning failures in LLMs. We introduce a novel categorization framework that distinguishes reasoning into embodied and non-embodied types, with the latter further subdivided into informal (intuitive) and formal (logical) reasoning. In parallel, we classify reasoning failures along a complementary axis into three types: fundamental failures intrinsic to LLM architectures that broadly affect downstream tasks; application-specific limitations that manifest in particular domains; and robustness issues characterized by inconsistent performance across minor variations. For each reasoning failure, we provide a clear definition, analyze existing studies, explore root causes, and present mitigation strategies. By unifying fragmented research efforts, our survey provides a structured perspective on systemic weaknesses in LLM reasoning, offering valuable insights and guiding future research towards building stronger, more reliable, and robust reasoning capabilities. We additionally release a comprehensive collection of research works on LLM reasoning failures, as a GitHub repository at https://github.com/Peiyang-Song/Awesome-LLM-Reasoning-Failures, to provide an easy entry point to this area.]]></description>
<dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:5debd05f6fcd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://lytagold.substack.com/p/the-pepe-silvia-guide-to-chatgpt">
    <title>The Pepe Silvia Guide to ChatGPT Psychosis</title>
    <dc:date>2026-02-16T17:42:54+00:00</dc:date>
    <link>https://lytagold.substack.com/p/the-pepe-silvia-guide-to-chatgpt</link>
    <dc:creator>amy</dc:creator><description><![CDATA[I’ve been meaning to publish this essay for months, but every time I’ve tried to wrap it up, there’s been a new article about another person who succumbed to AI psychosis, or ChatGPT psychosis in particular.]]></description>
<dc:subject>machine_learning psychology</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:daa3015c314a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:psychology"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://maxread.substack.com/p/ais-pandemic-moment?publication_id=392873&amp;post_id=186934302&amp;isFreemail=true&amp;r=n9ino&amp;triedRedirect=true">
    <title>A.I.'s pandemic moment</title>
    <dc:date>2026-02-14T00:58:07+00:00</dc:date>
    <link>https://maxread.substack.com/p/ais-pandemic-moment?publication_id=392873&amp;post_id=186934302&amp;isFreemail=true&amp;r=n9ino&amp;triedRedirect=true</link>
    <dc:creator>amy</dc:creator><description><![CDATA[A new hype epicycle reaches its climax]]></description>
<dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:31c7224c663b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://garymarcus.substack.com/p/breaking-llm-reasoning-continues?r=8tdk6">
    <title>BREAKING: LLM “reasoning” continues to be deeply flawed</title>
    <dc:date>2026-02-13T17:43:52+00:00</dc:date>
    <link>https://garymarcus.substack.com/p/breaking-llm-reasoning-continues?r=8tdk6</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:1a9c80d455b3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nytimes.com/2026/02/13/technology/meta-facial-recognition-smart-glasses.html">
    <title>Meta Plans to Add Facial Recognition Technology to Its Smart Glasses</title>
    <dc:date>2026-02-13T14:39:21+00:00</dc:date>
    <link>https://www.nytimes.com/2026/02/13/technology/meta-facial-recognition-smart-glasses.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[In an internal memo last year, Meta said the political tumult in the United States would distract critics from the feature’s release.

Disaster capitalism. 

“We will launch during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns…”]]></description>
<dc:subject>privacy machine_learning tech</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:d994c66a2494/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:privacy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:tech"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.wiz.io/blog/exposed-moltbook-database-reveals-millions-of-api-keys">
    <title>Hacking Moltbook: AI Social Network Reveals 1.5M API Keys | Wiz Blog</title>
    <dc:date>2026-02-11T19:33:59+00:00</dc:date>
    <link>https://www.wiz.io/blog/exposed-moltbook-database-reveals-millions-of-api-keys</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Learn how a misconfigured Supabase database at Moltbook exposed 1.5M API keys, private messages, and user emails, enabling full AI agent takeover.]]></description>
<dc:subject>machine_learning security</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:deb1c5eb2458/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:security"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.vox.com/technology/477977/chatgpt-claude-code-moltbook-ai-agent?view_token=eyJhbGciOiJIUzI1NiJ9.eyJpZCI6IjVRcFNTcGJ2TFciLCJwIjoiL3RlY2hub2xvZ3kvNDc3OTc3L2NoYXRncHQtY2xhdWRlLWNvZGUtbW9sdGJvb2stYWktYWdlbnQiLCJleHAiOjE3NzE5MDA2MDIsImlhdCI6MTc3MDY5MTAwMn0.OEYdgc23qCVDVqX9y4YAaigUH0bfcB7YlKyve2iZrGc">
    <title>AI agents could change your life — if they don’t ruin it first</title>
    <dc:date>2026-02-11T00:42:32+00:00</dc:date>
    <link>https://www.vox.com/technology/477977/chatgpt-claude-code-moltbook-ai-agent?view_token=eyJhbGciOiJIUzI1NiJ9.eyJpZCI6IjVRcFNTcGJ2TFciLCJwIjoiL3RlY2hub2xvZ3kvNDc3OTc3L2NoYXRncHQtY2xhdWRlLWNvZGUtbW9sdGJvb2stYWktYWdlbnQiLCJleHAiOjE3NzE5MDA2MDIsImlhdCI6MTc3MDY5MTAwMn0.OEYdgc23qCVDVqX9y4YAaigUH0bfcB7YlKyve2iZrGc</link>
    <dc:creator>amy</dc:creator><description><![CDATA[ChatGPT is boring compared to what comes next.]]></description>
<dc:subject>machine_learning society</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:d8fc724409b5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:society"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.theatlantic.com/family/2026/02/ai-etiquette-friends/685858/?gift=5fg4Scuz9CCFoZbyWzFxNbln-UYkBeu3BmqemhVIL0Y">
    <title>The Problem With Using AI in Your Personal Life</title>
    <dc:date>2026-02-10T23:43:07+00:00</dc:date>
    <link>https://www.theatlantic.com/family/2026/02/ai-etiquette-friends/685858/?gift=5fg4Scuz9CCFoZbyWzFxNbln-UYkBeu3BmqemhVIL0Y</link>
    <dc:creator>amy</dc:creator><dc:subject>society culture machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:2e8d1d54db5b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:society"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.linkedin.com/pulse/beyond-buy-vs-build-new-choice-world-enterprise-valliappa-lakshmanan-8juyc?trk=feed_main-feed-card_comment-text">
    <title>Beyond Buy vs Build: A new choice in the world of enterprise software</title>
    <dc:date>2026-02-07T02:00:48+00:00</dc:date>
    <link>https://www.linkedin.com/pulse/beyond-buy-vs-build-new-choice-world-enterprise-valliappa-lakshmanan-8juyc?trk=feed_main-feed-card_comment-text</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:2f6128f1345a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.theguardian.com/technology/2026/feb/05/disapperance-100bn-deal-ai-circular-economy-funding-nvidia-openai?CMP=Share_iOSApp_Other">
    <title>What does the disappearance of a $100bn deal mean for the AI economy?</title>
    <dc:date>2026-02-05T17:28:27+00:00</dc:date>
    <link>https://www.theguardian.com/technology/2026/feb/05/disapperance-100bn-deal-ai-circular-economy-funding-nvidia-openai?CMP=Share_iOSApp_Other</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Apparent collapse of Nvidia–OpenAI tie-up raises questions about circular funding and who will bear the cost of AI’s expansion]]></description>
<dc:subject>machine_learning economy</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:9117e4fddee0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:economy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://attnos.com/?ueid=f611215df7287e682a061429ff5ee717">
    <title>attn — AI That Organizes Your Day</title>
    <dc:date>2026-02-01T03:08:56+00:00</dc:date>
    <link>https://attnos.com/?ueid=f611215df7287e682a061429ff5ee717</link>
    <dc:creator>amy</dc:creator><dc:subject>software macOS machine_learning productivity</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:10261df092f6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:macOS"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:productivity"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/GoogleCloudPlatform/agent-starter-pack">
    <title>GitHub - GoogleCloudPlatform/agent-starter-pack: Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.</title>
    <dc:date>2026-01-28T15:31:45+00:00</dc:date>
    <link>https://github.com/GoogleCloudPlatform/agent-starter-pack</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability]]></description>
<dc:subject>machine_learning google agents</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:cfa410de7b51/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:agents"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/google-cloud/ai-agent-engineering-in-go-with-the-google-adk-4f2a992c6db4">
    <title>AI Agent Engineering in Go with the Google ADK | by Karl Weinmeister | Google Cloud - Community | Jan, 2026 | Medium</title>
    <dc:date>2026-01-28T15:26:26+00:00</dc:date>
    <link>https://medium.com/google-cloud/ai-agent-engineering-in-go-with-the-google-adk-4f2a992c6db4</link>
    <dc:creator>amy</dc:creator><dc:subject>golang google machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:509908b50334/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:golang"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/kitlangton/Hex?ueid=f611215df7287e682a061429ff5ee717">
    <title>GitHub - kitlangton/Hex: VOICE → WORDS</title>
    <dc:date>2026-01-24T23:18:41+00:00</dc:date>
    <link>https://github.com/kitlangton/Hex?ueid=f611215df7287e682a061429ff5ee717</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Press-and-hold a hotkey to transcribe your voice and paste the result wherever you're typing.

Download Hex for macOS

Note: Hex is currently only available for Apple Silicon Macs.
Or download via homebrew:

brew install --cask kitlangton-hex
I've opened-sourced the project in the hopes that others will find it useful! Hex supports both Parakeet TDT v3 via the awesome FluidAudio (the default—it's frickin' unbelievable: fast, multilingual, and cloud-optimized) and the awesome WhisperKit for on-device transcription. We use the incredible Swift Composable Architecture for structuring the app. Please open issues with any questions or feedback! ❤️]]></description>
<dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:669b912221d8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.cell.com/patterns/fulltext/S2666-3899(25)00299-5">
    <title>Autonomous language-image generation loops converge to generic visual motifs: Patterns</title>
    <dc:date>2026-01-22T22:50:56+00:00</dc:date>
    <link>https://www.cell.com/patterns/fulltext/S2666-3899(25)00299-5</link>
    <dc:creator>amy</dc:creator><description><![CDATA[As AI systems increasingly generate and evaluate their own creative outputs, they begin to influence not only what we produce but also how creativity itself evolves. Our study shows that when one combines two state-of-the-art models, one describing images and the other regenerating them, and they interact without human input, they converge toward a small set of highly conventional visual motifs, such as lighthouses, cathedrals, and palatial interiors. This finding reveals that, even without additional training, autonomous AI feedback loops naturally drift toward common attractors—very generic-looking images, which we call “visual elevator music.”
The implication extends far beyond art generation. Many new AI applications use similar self-referential loops. If left unchecked, these systems could amplify the biases and redundancies already present in large datasets, reinforcing aesthetic and cultural uniformity. Understanding how and why such convergence emerges is therefore critical for ensuring that generative AI contributes to diversity rather than homogeneity in culture, design, and knowledge creation. Our work indirectly also addresses the question of large language model (LLM) accuracy, and since these prompt → image → prompt loops drift and converge, we can say with certainty that they are less precise than one would hope. A final conclusion is that human-AI collaboration, rather than fully autonomous creation, may be essential to preserve variety and surprise in the increasingly machine-generated creative landscape.]]></description>
<dc:subject>machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:d06894ddc84a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/google-gemini/gemini-cli/issues/16750?_bhlid=c7bb13bb8a59dea9b1872228cf2ecb6aa41b4ec7">
    <title>&quot;Allow for session&quot; only allows once for shell commands that include a path · Issue #16750 · google-gemini/gemini-cli</title>
    <dc:date>2026-01-20T22:03:02+00:00</dc:date>
    <link>https://github.com/google-gemini/gemini-cli/issues/16750?_bhlid=c7bb13bb8a59dea9b1872228cf2ecb6aa41b4ec7</link>
    <dc:creator>amy</dc:creator><dc:subject>amusements machine_learning google</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:d15237887cdb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:amusements"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://simonwillison.net/2025/Oct/7/vibe-engineering/">
    <title>Vibe engineering</title>
    <dc:date>2026-01-20T16:49:35+00:00</dc:date>
    <link>https://simonwillison.net/2025/Oct/7/vibe-engineering/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[I feel like vibe coding is pretty well established now as covering the fast, loose and irresponsible way of building software with AI—entirely prompt-driven, and with no attention paid to …]]></description>
<dc:subject>machine_learning programming</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:72e8d1315387/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:programming"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.distributedthoughts.org/brownian-ratchet-chimpanzee-factory/">
    <title>The Brownian Ratchet and the Chimpanzee Factory</title>
    <dc:date>2026-01-19T23:27:20+00:00</dc:date>
    <link>https://www.distributedthoughts.org/brownian-ratchet-chimpanzee-factory/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Two independent projects solving multi-agent orchestration landed on the same primitives. That's not a coincidence—it's an industry figuring out what agent autonomy actually requires.]]></description>
<dc:subject>machine_learning agents</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:2d8e2e64aed1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:agents"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/dlorenc/multiclaude">
    <title>GitHub - dlorenc/multiclaude at distributedthoughts.org</title>
    <dc:date>2026-01-19T23:25:21+00:00</dc:date>
    <link>https://github.com/dlorenc/multiclaude</link>
    <dc:creator>amy</dc:creator><description><![CDATA[A lightweight orchestrator for running multiple Claude Code agents on GitHub repositories.

multiclaude spawns and coordinates autonomous Claude Code instances that work together on your codebase. Each agent runs in its own tmux window with an isolated git worktree, making all work observable and interruptible at any time.]]></description>
<dc:subject>machine_learning agents</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:d4c5a72542cc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:agents"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arstechnica.com/information-technology/2026/01/10-things-i-learned-from-burning-myself-out-with-ai-coding-agents/">
    <title>10 things I learned from burning myself out with AI coding agents - Ars Technica</title>
    <dc:date>2026-01-19T18:56:54+00:00</dc:date>
    <link>https://arstechnica.com/information-technology/2026/01/10-things-i-learned-from-burning-myself-out-with-ai-coding-agents/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning programming</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:a3163eceb5c8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:programming"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>