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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.
mic retweeted
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…
mic retweeted
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.
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.
mic retweeted
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.
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.
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
mic retweeted
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.
mic retweeted
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.
mic retweeted
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…
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?
mic retweeted
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.
mic retweeted
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.































