I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
“AI MODELS COULD BECOME 10× SMALLER WITHOUT LOSING MOST OF THEIR INTELLIGENCE.”
Mark Zuckerberg says one of the most powerful developments in AI is model distillation: taking the capabilities of a much larger model and transferring them into a much smaller one.
- Meta's huge frontier models can serve as "teachers" for smaller models.
- Zuckerberg says a model could potentially retain around 90–95% of the larger model's intelligence while being only ~10% of its size.
- That means dramatically lower inference costs, memory requirements and computing power.
- Developers can distill and customize these capabilities for their own applications.
And that's where open-source models come into the picture.
The biggest cheat code in business right now isn't building another $10/mo AI SaaS.
It’s using AI to automate expensive, manual B2B workflows (RFPs, M&A data rooms, medical billing) and charging $15k+ for the outcome.
Stop selling the software. Sell the dug hole.
new: Situational Awareness has invested $500M in a stealth startup called Source Foundry, including a fresh $400M infusion this week.
Source Foundry wants to challenge ASML, which sells the extreme ultraviolet lithography (EUV) machines necessary for making cutting edge AI chips.
with @KateClarkTweets for @WSJ:
wsj.com/tech/ai/situat…
@PromptLLM Fascinating that an LLM which is essentially just a massive probability engine recognizes that humans struggle most with navigating probability
Managed AI agents fail because the client never learns what to delegate.
A shared client-agent-operator channel + approval gates + a weekly value ledger is what turns a one-time install into a service clients get hooked on.
I broke down the full managed layer here:
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