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The full text is finally here, so we are giving it the full RTFB of model card treatment.
First, a recap of the state of Anthropic finances, then a close reading of the relevant parts of the S-1. A lot of it is technical and uninteresting, often pro forma, and gets skipped. A lot of it gets repeated many times.
A lot of this is also Anthropic ‘playing the hits’ we have heard many times, now to the investor circuit. Get your drinks ready for when we have to maximize the upside and minimize the downside.
This presentation of S-1 data has some cool Claude-created charts if that’s your jam.
Here are my top 10 takeaways from the S-1, for those already familiar with Anthropic.
• Existential risk is mentioned briefly only in the passive voice, and alignment issues are mostly treated as prosaic. They want to claim Big Mission but also sound as much as possible like a normal company. They are downplaying their willingness to pay real costs for safety, and downplaying the danger quite a lot.
• ‘Pacing the Frontier’ is not something they will do on their own. They’ll do the embedded evaluators, but the rest needs to be across the industry or it’s no good.
• The core business plan is ‘closing the loop’ aka recursive self-improvement, and they claim that their business will lose to its rivals if they do not achieve this.
• The founders will largely run Anthropic indefinitely via their Class F share, and with the employees they can overrule the Long Term Benefit Trust (LTBT).
• The LTBT will run Anthropic once enough founders leave, but it continues to look like a good governance body, not an AI safety body.
• Anthropic’s huge growth slowed in Q3, I believe likely picking up again in Q4.
• Anthropic has spent very little money. They raised $141b and have $131b on hand.
• Anthropic is profitable. H1 cash flow was +$3.9b. The $80b ‘loss’ was the stock going up forcing revaluing of notes, but those notes are already de facto converted.
• Anthropic compute commitments are roughl