John Asimov Holmes (@ElementarySHJW) profile picture

Attempting polymathy. AI, psychology, society, international relations, philosophy, pseudonyms, stoicism and everything else. Fan of Benjamin the Donkey.

Joined September 2013
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John Asimov Holmes retweeted
Let me explain exactly why OpenAI will sell you $14,000 of compute for $200, because the margin math only looks suicidal until you read it like an actuary. A subscription is a premium. Tokens are claims. The weekly limit is the coverage cap. Insurance books get priced on the pool's average utilization, and that $14,000 figure is the maximum. Back out the breakevens from SemiAnalysis's 75% gross margin assumption. A chatgpt-pro-20x subscriber stays profitable for OpenAI up to 5.7% utilization. Anthropic's max-20x plan holds to 10%. Meanwhile the median $20 subscriber asks a few questions a day and burns low single digits of their cap. Whales blowing through weekly coding limits get carried by millions of quiet users who barely touch theirs. The caps hide the best detail. $700 vs $400. $3,500 vs $2,000. $14,000 vs $8,000. OpenAI's ceiling sits at exactly 1.75x Anthropic's at every single price point. One constant ratio across three independent tiers. Somebody set these limits with a competitor's spreadsheet open. Rate limits do the actuarial work too. The worst possible whale costs OpenAI about $3,300 a month and Anthropic about $1,800, and the loss stops there by design. A hard ceiling on claims, written directly into the product. Actuaries spend entire careers wishing for that clause. Now the deflation argument, and the catch inside it. a16z measured inference cost falling 10x per year, but that decline holds for a fixed level of intelligence. Whales never sit at a fixed level. They ride each new frontier model the day it ships, so the cost curve never catches up to them. Which makes the model behind the plan the entire game. Cutting limits triggers public backlash that trends for a week. Routing the $200 tier to a model deflation already made cheap is silent and repairs the book overnight. SemiAnalysis predicts labs will withhold new models from subscriptions, and the actuarial math agrees. Last year's frontier at this year's serving cost turns every whale profitable without touching a single limit. Insurers take claims costs as given. AI labs choose theirs. Limits are the lever everyone watches. The model behind your plan is the lever nobody sees.
Replying to @SemiAnalysis_
Recently, we purchased one of each Anthropic/OpenAI subscription plan and randomly ran long horizon coding tasks until we exhausted the weekly limit. It's widely believed that a $200/month plan maxes out at ~$2000/month worth of tokens (assuming API pricing). However, we found that the subscriptions are actually far more generous. (2/4)
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John Asimov Holmes retweeted
Building an AI gaming studio is a major project @xAI
Join xAI to build revolutionary AI-powered video games. If you’re a developer interested in designing games from first principles, email [email protected] The potential for fully dynamic, AI-generated worlds is incredible.
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John Asimov Holmes retweeted
All of mathematics in one diagram:
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One of the most realistic description for superintelligence takeoff - a gripping read ai-2027.com/
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A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications arxiv.org/abs/2502.15737
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Culture & Human Terrain - Now replaced by JDP 04, Understanding and Decision-making (2nd Edition) and JDP 07, Defence Engagement published by Development, Concepts and Doctrine Centre (DCDC) assets.publishing.service.go…
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Exclusive: Chinese researchers develop AI model for military use on back of Meta's Llama | Reuters reuters.com/technology/artif…
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RightWingGPT – An AI Manifesting the Opposite Political Biases of ChatGPT , by @DavidRozado open.substack.com/pub/davidr…
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