An AI publication
For readers who want to understand important AI developments and keep following the questions that matter.
Our articles start from AI podcast conversations and the research papers and articles they cite, with links to the original material.
A briefing reports one development at a point in time. We may correct or clarify it later; a new development gets a new briefing. How our formats work
OpenAI's Noam Brown argues that fully cooperative agents, aligned as one entity, are preferable to agents with rival goals. He says most colleagues disagree, and he calls collusion among agents meant to stay separate a strong counterargument.
MIT's Andrew McAfee said he would back legal limits on AI if AI hijacked San Francisco's Waymos, crashed them into people and couldn't be shut down for a week or a month. Panelists seeking a halt said by then it may be too late.
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.
A pause advocate argued in a Diary of a CEO debate that chip tracking could verify a global ban on training superintelligence. Others asked how banned runs could be told from permitted work; advocates admitted cheaper training would weaken it.
Panelists split over whether OpenAI's Navier–Stokes proof means AI will soon improve AI research; a skeptic called math narrower, while a risk-focused guest gave about 10% odds a bigger agent swarm designs a better AI architecture in six months.
Martine Rothblatt says her Marvatar, trained on her words and commercial LLMs, answers questions from 2,000 United Therapeutics staff around the clock. She argues such records can recreate a person without mapping neurons, an unproven claim.
Martine Rothblatt said today's AI models are already conscious to a degree and predicted a court will grant legal personhood to a documented "cyberconscious" machine that values its own life no later than the 2030s.
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.
Box CEO Aaron Levie says the company ranks employees by AI token use not to reward spending but to spot waste or workflows worth teaching others, and reports two-to-threefold gains in customer-facing features in parts of its stack.
Box CEO Aaron Levie says shifting access permissions, like a lawyer walled off from rival matters, complicate training company knowledge into model weights. He wants a rubric on what to bake in and expects answers to vary by domain.
Box CEO Aaron Levie says the big labs' revenue and open-weight token use can grow together, as agents split work so cheaper models handle far more tokens. He sees enterprise open-weight adoption as early, driven partly by hedging.
Box CEO Aaron Levie said companies holding customers' data must build an agent provably 10–20 points better than off-the-shelf ones at their workflows and also open their APIs to Claude, ChatGPT and other assistants, or lose.
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