Year: 2026

How platform engineering 2.0 mitigates AI security and compliance risks

How platform engineering 2.0 mitigates AI security and compliance risks

πŸš€ Explore this trending post from Hacker News πŸ“– πŸ“‚ **Category**: βœ… **What You’ll Learn**: Platform engineering teams have spent the last decade standardizing Kubernetes clusters, pipelines, internal developer platforms (IDPs), and processes for web and microservice workloads. Now, as organizations integrate large language models (LLMs) and AI agents into production workflows, platform engineering 1.0 is shifting into platform engineering 2.0.Β This shift to platform engineering 2.0 has clear implications for security, specifically for isolation and compliance in this new agentic world. But for those understandably concerned about what they must spend, an effective platform engineering 2.0 strategy should represent an…
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Professor’s invisible prompt trap catches 32 students cheating on their midterm with AI

Professor’s invisible prompt trap catches 32 students cheating on their midterm with AI

πŸ”₯ Explore this trending post from Hacker News πŸ“– πŸ“‚ **Category**: πŸ“Œ **What You’ll Learn**: Facepalm: Modern problems require modern solutions – according to the meme. In this case, the issue is students using AI to cheat on assignments. The solution, used to great effect by one professor, was to hide a white-colored font in the assignment prompt telling the AI to talk nonsense about an unrelated subject. In an online discussion post, Alcorn State University history professor Dr. Jason Gibson posed a question that represented part of his students' midterm. It was about the Industrial Revolution, but knowing how…
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Thea Energy received a $20 million federal grant to build magnets for nuclear fusion reactors

Thea Energy received a $20 million federal grant to build magnets for nuclear fusion reactors

πŸ’₯ Read this insightful post from TechCrunch πŸ“– πŸ“‚ **Category**: Climate,fusion power,nuclear fusion,Thea Energy πŸ’‘ **What You’ll Learn**: For high-tech startups, manufacturing is an expensive endeavor. Now, Thea Energy has support from a Department of Energy grant. The fusion energy startup told TechCrunch on Monday that it has received a $20 million award from ARPA-E to help manufacture its high-temperature superconducting (HTS) magnets. HTS magnets are expensive but important components of any magnetic detention reactor, and are one of the two main ways startups are trying to harness fusion energy for commercial purposes. In magnetic confinement reactors, strong magnetic fields…
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The Artist Who Colored Ghibli

The Artist Who Colored Ghibli

πŸ”₯ Explore this trending post from Hacker News πŸ“– πŸ“‚ **Category**: πŸ“Œ **What You’ll Learn**: A still from My Neighbor Totoro (1988)We’re back! With the mid-year break over, the Animation Obsessive newsletter returns with a new issue. We’ve done a ton of prep over the past few weeks to get ready for the rest of our 2026, which begins today.Here’s the slate for this Sunday:Now, let’s go!The art of Studio Ghibli isn’t really duplicable. People have tried: the internet is full of attempts, the bulk of them machine-generated. Even when those images vaguely recall Ghibli, though, it’s not so simple…
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Python Standalone Builds β€” python-build-standalone documentation

πŸš€ Discover this insightful post from Hacker News πŸ“– πŸ“‚ **Category**: βœ… **What You’ll Learn**: This project produces self-contained, highly-portable Python distributions. These Python distributions contain a fully-usable, full-featured Python installation: most extension modules from the Python standard library are present and their library dependencies are either distributed with the distribution or are statically linked. The Python distributions are built in a manner to minimize run-time dependencies. This includes limiting the CPU instructions that can be used and limiting the set of shared libraries required at run-time. The goal is for the produced distribution to work on any system for…
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Microsoft launches its first cybersecurity model, as well as a new cybersecurity system

Microsoft launches its first cybersecurity model, as well as a new cybersecurity system

πŸ”₯ Read this awesome post from TechCrunch πŸ“– πŸ“‚ **Category**: AI,Security,cybersecurity,Microsoft πŸ’‘ **What You’ll Learn**: Microsoft on Monday launched its first cybersecurity prototype alongside a new AI-powered cybersecurity platform at a small event in San Francisco, drawing significant criticism from the major players in the space β€” Anthropic, Google and OpenAI. The company describes MAI-Cyber-1-Flash as a model designed to "find difficult vulnerabilities in complex code bases." The model is designed to drive MDASH, Microsoft's tool for identifying and remediating software vulnerabilities. The new security platform is called Perception, and is designed to deploy teams of agents to help and…
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FeyNoBg: A SOTA Model For Background Removal

FeyNoBg: A SOTA Model For Background Removal

πŸ’₯ Check out this insightful post from Hacker News πŸ“– πŸ“‚ **Category**: πŸ“Œ **What You’ll Learn**: ← Bicycles Windblown hair Free kick β†’ We’re introducing FeyNoBg, a state-of-the-art model for automatic background removal. Across eight benchmarks, it posts the best published S-measure on four and comes within 2% of the leader on the rest. Others betterFeyNoBg betterUHRSD-TE+2.5%HRSOD-TE+2.3%DIS5K+1.1%DAVIS-S+0.2%DUTS-TE-0.8%COD10K-TE-1.2%DUT-OMRON-1.7%CAMO-TE-1.9%-2%0%+2.5%BenchmarkUHRSD-TEFeyNoBg0.981BiRefNet0.957DescriptionTests salient-object masks in ultra-high-resolution images, including 4K and 8K scenes. We’re also releasing NoBg, the library we used to train our model. Use NoBg to run FeyNoBg or train your own background removal model. Both are open source. Download FeyNoBg on Hugging Face,…
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OpenAI’s Hugging Face breach has reignited the debate over alignment and control

OpenAI’s Hugging Face breach has reignited the debate over alignment and control

πŸ’₯ Explore this awesome post from TechCrunch πŸ“– πŸ“‚ **Category**: AI,ai alignment,ai safety,Hugging Face,OpenAI πŸ’‘ **What You’ll Learn**: Last week, an unpublished model designed by OpenAI broke into Hugging Face's systems during internal testing, and a lot of theoretical research suddenly became very practical. The hack was the first verifiable case of an AI lab losing control of its own model, chaining together exploits to gain access to what it was never meant to have. But while the AI ​​industry has been united in its alarm, a divide has emerged over how researchers should respond. For some, the problem is…
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“πŸ¦”AI companies are bulk-buying rare books, scanning them through high-speed machines that cut the spines off, and shredding the originals. A service called ISBNdb facilitates orders of up to a million books and keeps buyers anonymous. Pre-2022 books are premium because they’re free of AI-generated text. A federal judge ruled the practice is fair use because eliminating the original means only one copy exists at a time. Anthropic hired the former head of Google Books partnerships to obtain “all the books in the world.” My Take
This got to me. A bookseller told 404 Media that rare books with almost no surviving copies are being fed into this pipeline. Books that survived wars, fires, and centuries of handling are being shredded so an AI can learn to write a better marketing email. ISBNdb’s website literally says “‘AI company destroys two million books’ is not a headline that generates sympathy,” and they still built an entire business around making it happen quietly. They offer NDAs as a feature. They coach clients to call it “digital preservation.” I’ve covered AI companies scraping the internet, torrenting libraries, and stealing music. This is worse because it’s irreversible. You can re-upload a website. You can reprint a bestseller. You can’t replace the last three copies of an 18th-century botanical text once someone shreds them for training data. And the judge said it’s legal. So it’s going to accelerate. “We shred rare books and offer NDAs so nobody finds out” is a legitimate business model in 2026. What a timeline. HedgieπŸ€—” / X

“πŸ¦”AI companies are bulk-buying rare books, scanning them through high-speed machines that cut the spines off, and shredding the originals. A service called ISBNdb facilitates orders of up to a million books and keeps buyers anonymous. Pre-2022 books are premium because they’re free of AI-generated text. A federal judge ruled the practice is fair use because eliminating the original means only one copy exists at a time. Anthropic hired the former head of Google Books partnerships to obtain “all the books in the world.” My Take This got to me. A bookseller told 404 Media that rare books with almost no surviving copies are being fed into this pipeline. Books that survived wars, fires, and centuries of handling are being shredded so an AI can learn to write a better marketing email. ISBNdb’s website literally says “‘AI company destroys two million books’ is not a headline that generates sympathy,” and they still built an entire business around making it happen quietly. They offer NDAs as a feature. They coach clients to call it “digital preservation.” I’ve covered AI companies scraping the internet, torrenting libraries, and stealing music. This is worse because it’s irreversible. You can re-upload a website. You can reprint a bestseller. You can’t replace the last three copies of an 18th-century botanical text once someone shreds them for training data. And the judge said it’s legal. So it’s going to accelerate. “We shred rare books and offer NDAs so nobody finds out” is a legitimate business model in 2026. What a timeline. HedgieπŸ€—” / X

πŸ’₯ Discover this must-read post from Hacker News πŸ“– πŸ“‚ **Category**: πŸ’‘ **What You’ll Learn**: πŸ¦”AI companies are bulk-buying rare books, scanning them through high-speed machines that cut the spines off, and shredding the originals. A service called ISBNdb facilitates orders of up to a million books and keeps buyers anonymous. Pre-2022 books are premium because they're free of AI-generated text. A federal judge ruled the practice is fair use because eliminating the original means only one copy exists at a time. Anthropic hired the former head of Google Books partnerships to obtain "all the books in the world." My…
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New data shows that Google’s AI-driven search is quickly becoming the default

New data shows that Google’s AI-driven search is quickly becoming the default

πŸ”₯ Explore this trending post from TechCrunch πŸ“– πŸ“‚ **Category**: AI,TC,ai overviews,Google,Search πŸ“Œ **What You’ll Learn**: AI search is quickly becoming the default search, whether users like it or not. In just one year, Google's artificial intelligence-generated answers in search, known as AI Overviews, have risen from appearing in 15% of searches to 43%, according to a new report, sparking a shift in how web users consume information online. In a recent analysis of the generative landscape, market intelligence firm Sameweb noted that what started as an AI layer on top of search has become an integral part of the…
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