The best way to predict the future is to invent it. - Alan Kay.

NEW: Dario Amodei has said that AI systems "may be deserving of important rights." Anthropic's top safety researchers argue AI may be "justified in going rogue." Experts at Google and OpenAI worry about a digital "slave trade." So do some government officials. Once relegated to science fiction, the idea of "AI welfare" has become shockingly mainstream at some of the most powerful companies in the world. It is changing the way AI research is conducted and the way models are programmed. And critics say these changes have raised the odds of all kinds of catastrophic scenarios—including the ones these companies are warning about. I spent months investigating the frontier labs and AI "safety" experts seeking to regulate AI. What I found was a profoundly anti-human ideology that would alarm the average citizen and could determine the future of a world-altering technology.🧵 freebeacon.com/america/suici…
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issaco retweeted
There's no reason for software to be slow anymore: danluu.com/perf-opt/
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issaco retweeted
So proud of our security team! They caught, contained & publicly disclosed an attack unlike anything we've seen before, and did it at record speed. Also massively grateful to @Zai_org: they shared GLM5.2 as open weights (for free!) with the world and it became a key part of our defense. This is day one for cybersecurity in the age of agents & we're all learning that secrecy is not the answer & that all defenders (not just a few selected ones) everywhere need more powerful models without restrictions, especially open ones!
Hardest IR of my career: one narrow objective, endless parallel paths, machine speed. One takeaway, we fought back with open models, in the open. AI security won’t be solved by one company in secret. Open source puts these tools in every defender’s hands
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Defenders need to have access to good models so they can close security holes permanently. The incorrect model people work off of is that there is an unbounded number of security holes in the world, and that if you get smarter and smarter AI, that means you’ll just keep finding security holes forever. That’s not true. If you give everyone developing software access to good AI models, they will close off the holes, and eventually, the well of security vulnerabilities dries up. AI isn’t a crisis for computer security, it is a solution. The best hope we have of climbing out of the computer security crisis that we have been in since 1988 is letting developers fix the problems using AI systems.
I have a report full of security issues of a software I'm working on. Codex won't fix them because of Cyber guardrails Fable won't fix them because of Cyber guardrails Kimi K3 fixed them all. No restrictions, just gets the job done. This will end badly for OpenAI & Anthropic.
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One can imagine an alternate reality of the 1990's when 3D games rapidly emerged if the makers of the era were run by brazen opportunists who employed teams of lobbyists seeking regulatory capture: scare the world into thinking 3D graphics might be an existential threat.
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issaco retweeted
As believers of open research, we are disappointed to see Anthropic silently degrading Fable 5 for AI development "Any topic related to building pretraining pipelines, distributed training infrastructure, or ML accelerator design... may have limited effectiveness through Claude via methods such as prompt modification, steering vectors, or parameter-efficient fine-tuning." Not only do they get to decide what you use LLMs for in research, but this also enables them to silently intervene in your research without you knowing. This sets a dangerous precedent. If a model refuses openly, users can understand the boundary. If a model falls back to another model, users can still evaluate the difference. But if a model silently modifies or weakens its own answers while still pretending to help, researchers lose the ability to know whether a failed result came from their own idea, their implementation, or an invisible intervention by the model provider. That is not safety. Safety policies should be transparent, auditable, and user-visible. On top of that, the people most harmed by this are not the largest labs with massive teams and proprietary infrastructure. It is the independent researchers, academic groups, startups, and open-source builders who rely on public tools to compete, innovate, and pioneer AI for everyone else.
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RTX spark #msbuild
Made with AI
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Co-sign.
We asked the CEO of HuggingFace @ClementDelangue what the risks of releasing powerful open source models are. He says restricting AI creates more risk than openness. "Six, seven years ago, at the time it was GPT-2, and there was already a lot of people saying that it was too dangerous to release in open source." "Mythos, when it was announced was crazy dangerous... In a few weeks or a few months, everyone is gonna be using Mythos, and not destroy the world as a result." "For cybersecurity, the biggest risk is that a few players have capabilities that other people don't have... If you make it more open, it's usually easier for defenders to react and make the whole system safer." "The idea of restricting a technology like AI based on risks is like saying, 'Some people can punch other people, so let's tie down everybody's hands.'" "Otherwise you slow down progress, you create massive gaps in terms of controls, in terms of capabilities, and you create actually additional risks."
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This new LM talkie-lm.com/chat is pretty fun, #bicycleface
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The biggest AI risk isn’t that it gets too smart it’s that it gets too dumb to save costs (or because of model corruption, lack of ECC), decent powerful models silently downgraded or quantised without any oversight or knowledge of the actual integrity for the consumer of the API
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The only good copilot … farewell
New signups for Copilot Pro, Pro+, and Student plans are paused to maintain service reliability for current users. • Usage limits tightened; Pro+ offers 5X higher limits than Pro github.blog/changelog/2026-0…
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issaco retweeted
> "there's a workaround (use "/effort max")" This is so dystopian. The future is going to be full of this shit.
basically: anthropic sneakily turned down how hard claude thinks before editing code, changed the default from "high" to "medium" effort, and hid the reasoning from session logs. all without telling users. an amd director had 7k sessions of telemetry to prove the degradation was real and measurable (not just vibes). anthropic admitted to the changes. there's a workaround (use "/effort max"). the uncomfortable part is most users had no data to notice it happened at all.
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Recent Service Issues: August 25-28, 2025: Claude Opus 4 and 4.1 experienced quality degradation that particularly affected tool use and Claude Code users, resulting in lower intelligence responses and malformed tool calls.
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As expected, this is the real risk of using AI without guarantees of quality and thinking per call
"The human put in the same effort. But the model consumed 80x more API requests and 64x more output tokens to produce demonstrably worse results."
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Pluribus is accidentally a great metaphor for how western governments treat those who refuse to assimilate and actively try to destroy them from within.
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Replying to @WindowsLatest
Debloat it guys, don’t preload the bloat.
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issaco retweeted
Replying to @ChrisMurphyCT
You're being played by people who want regulatory capture. They are scaring everyone with dubious studies so that open source models are regulated out of existence.
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I'm old enough to remember when a "new browser" meant someone actually wrote a rendering engine.
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Long article in the NYT today about "cloud compute and data centers killing water supply"...and then you find out the number they mean less than one golf course or small corn farm or tiny rice paddy. Be serious, people.
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NVIDIA over USB4 on MacBook is ready to try! * ADT-UT3G dock + any 30/40/50 series GPU * Disable SIP * Install driver `extra/usbgpu/tbgpu` * Install NVK compiler `brew install tinymesa` * Test with: `DEBUG=2 NV_NAK=1 NV=1 python3 test/test_tiny.py TestTiny.test_plus`
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新聞稿沒說清楚的是,在美國生產第一片Nvidia Blackwell晶圓後,接著還是需要運送到台灣做CoWoS封裝,Blackwell晶片生產才算完成。兩年後的今天,如果能在美國開始先進封裝,進度已算超預期。 blogs.nvidia.com/blog/tsmc-b…
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issaco retweeted
It's easier to innovate when you're the original of something. People copying you can only copy a snapshot of your current state. They don't know which aspects of the snapshot are essential and which are random things you'd been about to change anyway.
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