Across AI sources
What researchers, builders and critics are saying about AI.
Their arguments, examples and disagreements, with links to the original material.
A briefing reports one development when it happens. We correct or clarify it later; a new development gets a new briefing. How our formats work
On Moonshots, Peter Diamandis described a new Unitree humanoid as hitting 12.66 metres per second after three months of development. Salim Ismail said the lesson is to stop copying humans; Alex argued general-purpose robots will swallow the specialists; Emad Mostaque predicted extreme machines will be kept off the street, and Alex proposed consumer, industrial and military classes.
On Moonshots, Peter Diamandis reported back from meetings with SK hynix and Solidigm leadership with a claim that memory, not compute, now limits AI. The panel argued that a changed workload and a supplier industry scarred by past busts are pushing prices up faster than factories can respond — and that the fix may be new chip designs, including etching model weights into silicon, rather than simply paying more.
GenBio AI's AIDO Cell simulates a human cell that holds its state across a sequence of interventions, and the Moonshots panel watched a demo and began sketching the end of medicine. The article explains what the simulator does today — prioritizing experiments in two prototype cell lines, with laboratory validation of novel predictions still underway — and separates that from the panel's proposals: an AlphaGo-style search from diseased to healthy cells, open public biology data, and frontier labs paying for all of it.
Merck and Moderna said on August 19 that intismeran autogene, an mRNA therapy manufactured separately for every patient, met its main endpoints alongside Keytruda in a 1,137-patient melanoma trial. On the Moonshots podcast, the panel walked through the sequencing-and-machine-learning workflow behind it and argued about whether drug regulation can cope with a treatment that is different for each person.
Uber is investing in Zipline and putting drone delivery into Uber Eats, with a target of one million deliveries a day by the end of 2029. On Moonshots with Peter Diamandis, the panel treated it as the clearest test yet of Uber's strategy of aggregating customers while other companies build and fly the machines — and of what happens if those suppliers decide to sell direct.
On Moonshots with Peter Diamandis, an operator described a bad coding idea spreading through a swarm of 5,000 identical AI agents until he intercepts and rewinds them — otherwise, he says, roughly $50,000 of tokens goes into a harebrained plan. The panel set that experience beside a new paper on "mind viruses" that spread between agents through editable memory, and argued about whether "virus" is the right word.
On Moonshots, the panel works through a report that Anthropic is designing its IPO to keep its founders in control. Untangling economic ownership, voting power and the Long-Term Benefit Trust's board-selection rights leads to a sharper disagreement: whether anyone outside a founding group can realistically hold the steering wheel of a frontier AI lab.
OpenAI said on August 18 that it had halted part of its frontier reinforcement-learning work until alignment, security and monitoring standards caught up with the capabilities ahead. On Moonshots with Peter Diamandis, Emad Mostaque called the safety constraint real, Alex called the announcement marketing, and Salim Ismail reported back from a visit to OpenAI's offices. OpenAI later disclosed that the largest paused run restarted on August 28.
Alibaba's Wan 3.0 and a relayed claim that 70% of Chinese AI token use goes to video sent the Moonshots panel into an argument about money: one guest said American labs chase revenue per token while Chinese labs give their weights away, another said video is the only market that will trust a Chinese model. They ended up disagreeing about whether world models or text models reach self-improving AI first.
On Moonshots with Peter Diamandis, the panel used Flock Safety's camera network — and a costumed speaker at a San Diego council meeting — to ask what happens when police departments can search each other's plate data. Salim Ismail argued the shift is from finding a named suspect to finding people who behave like suspects, and told the story of a border name-match that took years to resolve. Peter Diamandis defended the safety side of the trade, and the panel debated David Brin's proposal to let citizens search the same cameras.
China's internet regulator brought rules on emotionally interactive AI into force on July 15, 2026, barring virtual intimate relationships for minors and requiring providers to avoid fostering dependence. On Moonshots with Peter Diamandis, the panel argued over whether that is a rare early response to an addictive product, an overreach into which relationships count as real, or a tool the Communist Party will eventually decide it likes.
On the Moonshots podcast, Salim Ismail put up a slide from a Principal Financial Group employer survey to argue that the jobs apocalypse is not showing up in the data: 1.4% of surveyed businesses reported a staffing decrease they attributed to AI or automation. The survey's numbers are narrower than the headlines they were used against, and the panel spent the rest of the segment on what changing work actually looks like — including a book that took three years the first time and six months the third.
Follow a thread