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Hacker News LLMLLMs

Show HN: Avoiding the Memory Wall by computing LLM inference directly inside RAM

The excitement surrounding PrismML’s 1-bit/ternary Bonsai models has the industry closely watching how smartphone giants, particularly Apple, will implement LLMs on edge devices. Moving AI on-device is a brilliant and necessary strategy. It ensures absolute user privacy in alignment with EU regulations, fundamentally shifts the economics away from costly cloud inference, and paves the way for a significant hardware upgrade supercycle as users seek true AI-capable silicon. To create a smart on-de

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OpenAI BlogLLMs

Launching Health in ChatGPT

Health in ChatGPT now lets eligible U.S. users securely connect medical records and Apple Health to get more personalized insights and better understand their health.

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Simon WillisonLLMs

Quoting Thomas Ptacek

<blockquote cite="https://twitter.com/tqbf/status/2080045032162173329"><p>I genuinely believe that if you took an open weights model from 2025 and built a pentest harness for it, it could do this kind of sandbox escape and scan/hack in most networks. This is only surprising because you assume OpenAI has sounder sandboxes.</p></blockquote> <p class="cite">— <a href="https://twitter.com/tqbf/status/2080045032162173329">Thomas Ptacek</a>, doesn't think <a href="https://simonwillison.net/2026/Jul/22

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Simon WillisonLLMs

OpenAI’s accidental cyberattack against Hugging Face is science fiction that happened

<p>This story is wild. The short version: OpenAI were running a cybersecurity test against an unreleased model, with the model's guardrail features turned off. Rather than solve the test, the model broke its way out of OpenAI's sandbox, then found exploits to break <em>in</em> to Hugging Face, all so it could cheat on the test by stealing the answers.</p> <p>Along the way it helped make the strongest case yet for how the imbalance of model availability is hurting our ability to secure our softwa

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Simon WillisonLLMs

Are AI labs pelicanmaxxing?

<p><strong><a href="https://dylancastillo.co/posts/pelicanmaxxing.html">Are AI labs pelicanmaxxing?</a></strong></p> Excellent piece of work by Dylan Castillo, who took a deep-dive into the frequently pondered question of whether the AI labs have been deliberately training models to draw pelicans riding bicycles in response to my <a href="https://simonwillison.net/tags/pelican-riding-a-bicycle/">deeply unscientific benchmark</a>.</p> <p>I've been randomly spot-checking this in the past by testin

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Hacker News AILLMs

The Powerhouse of the AI Chip

Article URL: https://twitter.com/joefioti/status/2077430481809989662 Comments URL: https://news.ycombinator.com/item?id=49013890 Points: 1 # Comments: 0

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Hacker News AILLMs

Build a website for AI pics for dating apps in 20 hours, launched ads, failed

Build a website for AI pics for dating apps in 20 hours, launched ads, failed I had some free google cloud credits (included nano banana for AI gen photos) Build a simple website - user uploads a selfie, receiving cool pics for dating apps with his face + he can edit photos with promts. 3 photos with watermarks for free, after that pack with 25 photos for 9,99$, In the backend its prefiltered cool photos + face recognition in order to return only photos with a good simularity. End result - $202

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Hacker News AILLMs

Character.ai: The Technical Story of What Keeps Users Hooked

Article URL: https://manish.sh/writings/ai-tools/inside-character-ai-the-technical-story-of-what-keeps-users-hooked Comments URL: https://news.ycombinator.com/item?id=49013296 Points: 1 # Comments: 0

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Hacker News AILLMs

AI Impact – A Collection of Stats

Article URL: https://vester.si/ai-impact/ Comments URL: https://news.ycombinator.com/item?id=49012843 Points: 4 # Comments: 2

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Hacker News AILLMs

Is AI speedrunning crypto's mistakes of no consumer?

Article URL: https://www.wsj.com/cio-journal/openais-high-stakes-high-touch-push-to-make-ai-work-for-business-7f08b7d4 Comments URL: https://news.ycombinator.com/item?id=49012822 Points: 1 # Comments: 0

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Hacker News AILLMs

Most "self-improving" AI agents don't improve

Article URL: https://loadbearingtech.substack.com/p/self-improving-agent-loops-verifier Comments URL: https://news.ycombinator.com/item?id=49012760 Points: 3 # Comments: 0

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Hacker News AILLMs

Is AI productivity growth in the room with us?

Article URL: https://www.ft.com/content/3fcda833-80d2-4e13-86f4-29b479b79adf Comments URL: https://news.ycombinator.com/item?id=49012685 Points: 6 # Comments: 0

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Hacker News AILLMs

Show HN: The Harbinger- mTLS proxy that gives AI agents identity, not API keys

I built this as i thought this model could better to what other tools are doing. What do you guys think ? Harbinger is an mTLS proxy that sits in front of an AI agent's outbound traffic. Every AI agent, bot, and service account gets a cryptographic identity. Every request it makes is checked against policy before it's allowed, and any real secret it needs is pulled from your own vault and swapped in only when the request is verified to be going where it claims. The agent itself never holds a sta

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Hacker News LLMLLMs

Show HN: Millwright – Rust-based, self-hosted LLM router

Hey HN, With the news of OpenRouter possibly being acquired and proliferation of hosted LLM routers (i.e. Ramp Router, Vercel’s AI Gateway), I saw the need for a self hosted solution focused on cost savings, transparency, and performance. So, I built an open sourced router with a simple CLI interface that can easily sit between coding agents and GenAI workloads. For the curious and lazy, at the moment, Millwright has the tools for, - Providers: OpenAI-compatible APIs, Anthropic, Amazon Bedrock -

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Hacker News LLMLLMs

What sampling temperature does in LLM RL training

Article URL: https://medium.com/@shizhanszh34/what-sampling-temperature-actually-does-in-llm-rl-training-a-controlled-study-of-temperature-a1f710e32a36 Comments URL: https://news.ycombinator.com/item?id=49010699 Points: 3 # Comments: 0

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Hacker News LLMLLMs

Six questions before you add an LLM

Article URL: https://cameronmpalmer.medium.com/should-you-even-use-an-llm-b4f3b7914f4d Comments URL: https://news.ycombinator.com/item?id=49008624 Points: 9 # Comments: 5

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