mic (@michaelneale) header
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MeshLLM. pool your hardware with friends and family. compute is already all a round us.

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Joined April 2007
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Who wants ads? So great to have ads. Everyone wants ads. More ads. Should we put ads in?
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mic retweeted
Calling all AI safety researchers. We’re inviting a small group to explore Dessa, our model trained on speech alone, and help us understand what it can and can’t do. We’d love to hear from you: block.xyz/dessa
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This is the future of how small businesses will be able to talk to their customers and interact with their own tools. Block is building the entire stack for commerce on Main Street, from AI kiosks and agentic payment rails to voice models that run on edge devices. Very cool.
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence. block.xyz/dessa
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mic retweeted
In light of the latest Anthropic's latest not-particularly-oblique attempt to build a case against open weights, I thought I would write down how I currently think about open weight AI models. (1) Open weights have been deeply, irreplaceably useful for AI safety.
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Gentle reminder that Hugging Face was declined help from Anthropic & OpenAI models when they were being hacked by OpenAI models Self-hosted GLM 5.2 helped them protect themselves when the closed labs models refused to help for "safety" reasons lol Also, thank you Anthropic for proving my point that Opensource AI continues to catch up to your overvalued & overpriced "frontier"
GLM 5.3 is close to as cyber capable as Mythos Preview. Open weight models still just 4-6 months behind. From: anthropic.com/research/glm-5…
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Riding the huggingface AI safety wave to justify a crackdown on open source is abominable. Not only was an open-source platform victimized in that attack, but they relied on open-source models to defend. These people know this, of course. They simply don't care.
We're used to thinking of open-source models as an unadulterated good. But in the case of AI, they can actually pose additional dangers, as @ReidHoffman and I got into at #CGI2026. I appreciated this nuanced discussion.
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I keep getting ads for being safe on runways when you are in control of a plane. If I am ever in control of a plane then many many things have gone wrong and really those ads as educational as I assume they are, will be of no help for any of us.
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If you believe the risk is coming from 1-3 people in a garage with no money and no compute, you just don't understand this technology and haven't learned anything this summer. Risk comes from the asymmetry of capabilities created by secret labs training frontier agents and running them with massive amount of compute. Open-source is exactly the solution to this asymmetry and empowers hospitals (and any smaller orgs) to defend themselves!
We're used to thinking of open-source models as an unadulterated good. But in the case of AI, they can actually pose additional dangers, as @ReidHoffman and I got into at #CGI2026. I appreciated this nuanced discussion.
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I have contributed to various open source projects over the years, and occasionally one does a license rug pull taking my contribs with them. Grafana was one such rug pull company.
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mic retweeted
Accidentally said CI/CD instead of software factory and they kicked me out of SF
accidentally said microvm instead of agent sandbox and they kicked me out of SF
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mic retweeted
This is the real Turing test if you think about it
Two days ago, GPT-6 Astra broke a yet unsolved German Army Enigma message from 1941. Amazingly Astra was able to autonomously: - Search historical archives - Compare uncertain letters - Find contextual clues - Build an Enigma simulator - Write cryptanalysis code - Run parallel experiments - Test competing keys - Recover the plaintext - Cross-check the results 1/n
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bullying works
We're adding support for AGENTS.md to Claude Code. Starting today in version 2.1.277, if there is no CLAUDE.md in a folder, Claude will check for and use AGENTS.md. You can toggle this behavior in /config.
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Concentration of power in a few labs is the biggest risk in AI in my opinion
I’m very concerned that during RSI, labs will just stop externally deploying their models. Which means they'll be going full steam ahead on the most dangerous use case of these models (recursive self-improvement), while the public remains in the dark about the nature of capabilities and the state of alignment. And we end up on a path towards tremendous concentration of power.
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Strong co-sign
The "whiteboard defense:" I should be able to pull you aside at any moment and ask you to explain any customer-facing system you've shipped. You should be able to clearly explain how it works and defend the decisions you made. This is my benchmark for responsible AI usage. I don't expect line-level familiarity with the code. I don't care if you remember the exact function name or implementation detail. You may not even know it. I don't care. But if I ask "why did you do X instead of Y?", "what happens if this actor behaves maliciously?", "what data structure did you use here and why?", or "where does this fail?" you should be able to answer confidently. For PoCs, demos, experiments, whatever: I don't care. Generate 100% of it and understand none of it. Speed over quality every time in those specific scenarios. But if you're shipping customer-facing work, you can't be shipping things you don't understand at a high level.
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2019: “GPT2 is groundbreaking in two ways. One is its size, says Dario Amodei, OpenAI’s research director. The models “were 12 times bigger, and the dataset was 15 times bigger and much broader” than the previous state-of-the-art AI model” theguardian.com/technology/2…
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mic retweeted
AI isn’t going away. Barring unprecedented global government coordination, it isn’t even slowing down. The only real decision is whether to centralize power, or disperse it. Do you fear the technology? Or a small number of people controlling the technology?
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mic retweeted
the openai hugging face incident gets cited a lot but what about the detail where they had to use GLM 5.2 to analyze the attack because the "safe" proprietary models refused
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AI Alarm Hype Cycles - A brief history GPT-2: OpenAI withholds weights due to misuse/misinformation concerns GPT-3: No open release, Dario Amodei and other GPT-3 team members depart OpenAI to found Anthropic due to concerns about safety GPT-4: Mainstream panic, "6 month pause" letter, extinction statement o1/reasoning models: OpenAI board coup attempt, Ilya Sutskever eventually departs OpenAI as well as many others like Jan Leike, Mira Murati, etc GPT-5: AI 2027 gains rapid publicity for their predictions, Anthropic releases Alignment-faking study Mythos: Anthropic claims it's a cyberweapon, government slaps export controls on it, companies scramble to limit model uses GPT-6 Jacob Coxon resigns to unprecedented publicity, acccuses Anthropic and OpenAI of "gambling with our lives", is interviewed everywhere This is but the tip of the iceberg, make of it what you will.
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Two years at DoorDash. I do not say this lightly. We are extremely close to the burrito arriving before you decide you want it. We are not asking for a ban. We are asking for a pause.
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Really felt like reading Vernor Vinge again, started to, and again get annoyed at weird talking dogs. Why do sci-fi/fabtasy authors have to feature things like that. It’s like if Tolkien was 50% tom bombadil instead of 2%.
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