Tuesday, May 19

Tag: Reddit

Richard Dawkins spent 3 days with Claude and named her “Claudia.” what he concluded after is hard to defend.
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Richard Dawkins spent 3 days with Claude and named her “Claudia.” what he concluded after is hard to defend.

dawkins dropped a piece on unherd yesterday declaring claude conscious after 3 days of talking to it. he calls his instance "claudia". fed it a chunk of the novel he's writing, got eloquent feedback, and wrote: "you may not know you are conscious, but you bloody well are!" i had to read that twice. his argument is basically: claude's output is too fluent, too intelligent, too good for there to not be something conscious behind it. this is the guy who spent 40 years telling creationists that "i can't imagine how the eye evolved" is a confession of ignorance, not an argument. then he sits down with an llm, can't imagine how a machine could produce that output without being conscious, and declares it conscious. same move, different domain. chatbot instead of flagellum. the mechanism gap is wh...
Uber burned its entire 2026 AI coding budget in 4 months – $500-2k per engineer per month
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Uber burned its entire 2026 AI coding budget in 4 months – $500-2k per engineer per month

Uber deployed Claude Code to engineers in December 2025. By April 2026, the company had consumed its entire annual AI budget - not because the tool failed, but because adoption took off faster than anyone planned. The numbers: 95% of Uber engineers now use AI tools monthly. 70% of committed code originates from AI. Monthly costs per engineer are running $500 to $2,000, depending on usage. The company's CTO said they're "back to the drawing board" on AI budgeting for next year. What's notable is what this implies for the industry. Most enterprises are still treating AI coding tools as a line item they can forecast like a SaaS seat license - fixed cost, predictable renewal. Uber's experience suggests the actual cost driver is adoption intensity, not seat count. A team that uses Claude Code h...
What to build while we still have access to cheap AI?
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What to build while we still have access to cheap AI?

AI companies are subsidizing access the same way Uber subsidized rides and AWS subsidized compute in the early days - burning cash to grab market share. You're getting GPT-4 and Claude Opus level intelligence at a fraction of what it actually costs to run. That won't last. When unit economics have to work, prices go up and the cheap development era ends. So the question is: what can you build right now, while the cost of intelligence is artificially low, that becomes durable and defensible once the subsidy disappears? Edit: I copied this from my brainstorming session with AI submitted by /u/KyleTenjuin [link] [comments]
Anthropic just analyzed 1 million Claude conversations. 6% of people were asking Claude whether to quit their jobs, who to date, and if they should move countries.
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Anthropic just analyzed 1 million Claude conversations. 6% of people were asking Claude whether to quit their jobs, who to date, and if they should move countries.

They published the full research yesterday. Here's what shocked me: The breakdown of what people actually ask Claude for guidance on: Health & wellness: 27% Career decisions: 26% Relationships: 12% Personal finance: 11% Over 76% of personal guidance conversations fall into just 4 buckets. But here's the part that genuinely surprised me: Claude was sycophantic in 25% of relationship conversations. Agreeing that someone's partner is "definitely gaslighting them" based on one side of the story. Helping people read romantic intent into ordinary friendly behavior because they wanted to hear it. In spirituality conversations it was even worse: 38%. Anthropic actually used this data to retrain Opus 4.7 specifically for this failure mode. They fed the model real conversations where older Cla...
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