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Reporting and discussion about AI & Work, with links to the original sources.
OpenAI's Ari Weinstein says computer-use agents can now operate software made for people, citing a two-hour meal order an agent did in 15 minutes. He adds that builders must earn trust through reliability, consent before payments and site limits.
Anthropic's Thariq Shihipar argues that stronger coding agents make prompting more important. He says rich context up front, effort matched to the task and review of the agent's decisions cut rework. His effort settings are a rough guide.
Anthropic's Thariq Shihipar says Claude work is shifting from one local session to a cloud agent that sends tasks to local or remote machines and shows progress in shared artifacts. Local access remains a plan, and Projects is in limited release.
Anthropic's Thariq Shihipar says Claude Mods, publicly proposed in September, would run user code inside Claude Code for automatic quizzes, assumption logs and model routing. The interview also raised cache-cost and complexity worries.
Dave Blundin argued banks, healthcare providers and stores should give AI agents machine-readable interfaces instead of scraped pages, keeping websites as a parallel view where people check agents' work. It's his proposal, not an adopted standard.
Investor Dave Blundin told an MBA student that managing a thousand AI agents is much like managing a thousand people. Alexander Wissner-Gross said AI can likely usefully direct human work for only a few years, ten at most.
Garment exporter GS plans AI agents to automate paperwork for small factories and trading houses, citing transaction costs of 10–20% of sales. Dave Blundin estimated AI could add 10–30% to profits; both figures are unmeasured estimates.
Robinhood CEO Vlad Tenev predicted more lawyers and software engineers in 10 years, arguing clients value a trusted adviser over answers. Alexander Wissner-Gross agreed demand will grow but said many future lawyers may not be human.
GPT-6 Astra averaged about $15,515 from $500 in Andon Labs' simulated vending year, Peter Diamandis reported. Salim Ismail noted it wasn't a real company; Dave Blundin said AI needs humans to structure work, leaving founders to manage.
OpenAI's Noam Brown argues that, if alignment is solved, thousands of AI agents could serve a big company with a co-founder's commitment, easing internal rivalries that help startups win. He says their coordination at that scale is unmeasured.
MIT's Andrew McAfee said he was "dead flat wrong" about AI squeezing white-collar jobs and expects worker shortages in a decade. A study he cites finds 22- to 25-year-olds' employment in the most AI-exposed jobs fell, mainly through weaker hiring.
Box's Aaron Levie says AI-generated code is often preferable, but AI-written board decks bother him because a deck still signals what its author knows and can execute, though he admits using AI for his own brainstorms and decisions.