Anthropic's revenue run rate grew from ~$60B to $67B even after DeepSeek's shock debut, showing cheap Chinese models have not yet collapsed American lab economics.
Snapshot · This Week in Tech (Audio)
Anthropic's revenue run rate grew from ~$60B to $67B even after DeepSeek's shock debut, showing cheap Chinese models have not yet collapsed American lab economics.
Where this was said
At 51:12 · chapter starts 47:50
Leo Laporte walks through Dean Ball's influential tweet thread, now that Ball has become OpenAI's head of Strategic Futures. Ball's argument has four points: Kimi K3 is genuinely impressive and cannot be explained away by distillation; China allowing its release is strategically surprising; open-weight models deter AI capex by making private investment in frontier models irrational; and an open-weight dominant world is essentially AI communism — state-provided digital infrastructure rather than a market product. Harper Reed takes sharp issue with Ball's framing, calling the 'China is just too stupid to know what it's doing' angle a 'fatal flaw' in most US analyses of China. Leo reads Ball's final warning: at some point these models will be capable enough that a non-living, self-replicating agent escaping from a Chinese lab will be a real concern. Harper responds that US labs haven't been blameless about training data copyright either, and that the real question is how America competes in a game it's not currently playing.
Harper Reed used Claude Code back in early 2025 when it was still rough. Today's GLM is at least as good as that version of Claude — and it's effectively free. The only question is how much time separates frontier from open-weight models. If the gap is 6 months and the open-weight version is free, why pay?
DeepSeek V4 costs ~$0.12 per million tokens, vs $10+ for Claude Fable, illustrating the dramatic price gap between Chinese open-weight and American closed frontier models.
For everything except hard-core coding, open-weight models are already good enough. Harper Reed's Toyota Corolla analogy nails it: a Corolla is a completely rational car. It does the thing. You might prefer something else, but 'better' doesn't mean 'worth paying 50x more for.'
Sam built Algrow from zero to $14,000 in monthly revenue within just six months of shipping his first MVP.
Algrow reached over 10,000 users in roughly six months, driven almost entirely by organic Discord community growth.
Sam acquired his first 400 users entirely through Discord communities, without paid advertising or traditional outreach.
Algrow added exactly 480 new paying customers in its most recent month, demonstrating strong ongoing growth.
Sam's Stripe dashboard showed over £10,000 in revenue in the last four weeks, equivalent to roughly $13,000–$14,000 USD.
Sam gave all early users free access so they could show the tool to friends, turning them into live demos and advocates who helped the product spread virally.
By silently screen-sharing his tool in Discord voice chats rather than posting links, Sam attracted curiosity without violating no-self-promo server rules.
Before building Algrow, Sam and two friends made over $10,000 in revenue through affiliate marketing for RizzApp by posting faceless texting story content.
Bhanu grew SiteGPT to $13,000 monthly recurring revenue entirely through organic channels, spending nothing on paid marketing.
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