On the Training Data podcast, Peregrine's Ben Rudolph described integration agents that run for hours, inspect a customer's databases and split work among sub-agents, writing roughly 90% of the Python notebooks the company uses to connect public-safety records, under the deployment team's oversight. The conversation put the share of effort that happens before a user types a question at 95% — the preparation that let a Florida county ask why it had suddenly run more than a hundred water rescues.
On the Training Data podcast, Peregrine co-founder Ben Rudolph describes building the company's first operational AI agent with a police customer that had worked a case ending in the exoneration of a wrongly convicted man, then asked whether an agent could reproduce the same findings. He says the agent, which runs for 30 to 60 minutes over hundreds of gigabytes of case evidence, is now used in a few US departments, including a Wisconsin county where a handful of phone records helped place a suspect. Co-founder Nick Noone says the company deliberately lets customers take the credit.
On The Diary of a CEO, investor David Friedberg argued that AI grows companies rather than shrinking payrolls, using a painter commanding five robots as his image. Pressed on entry-level hiring, Klarna's staffing numbers and a Stanford payroll study, he named the assumption he thinks could be wrong: that displaced people will see an opportunity and take it.
On Moonshots, the panel revisits Elon Musk's January prediction that models were "off by two orders of magnitude" in intelligence per gigabyte, after Tim Sweeney tweeted that it had come true and Musk replied that specialist AIs add another 100x. Dave calls 100x a lower bound and asks what anyone would actually do with 10,000 brilliant agents; Emad Mostaque describes running specialized agent teams, while Alex argues Musk's "specialist models" are really sparsification inside generalist models.
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.
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.
After losing an MIT recruit to a Princeton doctoral program, the Moonshots panel argued that the next two or three years are the last window in which humans steering fleets of AI agents will be unusually valuable — and that a PhD spends that window badly. Then the objection arrived from their own side of the table: everyone there holds the degrees they are telling young people to skip.
On the Moonshots podcast, Salim Ismail, Alex and Emad Mostaque describe the same problem from different desks: agents now produce more work than a person can review. Their answers range from designing escalation thresholds inside companies to Mostaque's decision to read his research agents' output only once a week.
A Berkeley startup called Ditto has no feed and no swiping: students fill in a values questionnaire and a Wednesday evening text arrives with a match, a place and a time. On Moonshots, the panel weighed the appeal of having the choosing removed against Emad's worry about outsourcing connection, Dave's warning that a system that knows you well is also a very good salesperson, and Alex's refusal to use it at all.
On Moonshots with Peter Diamandis, the panel read out a new leaderboard result: Google's Gemini 3.7 Flash on top of the AA-AnalystAgent benchmark with 60%, ahead of Claude Opus 5 at 54%. Diamandis called it proof that Google is back; Alex argued the score measures repeated reliability on spreadsheet analysis rather than frontier capability, and blamed Google Search for pushing Gemini toward speed and determinism. Emad Mostaque agreed the model was decent but said Google's problem is institutional, not a shortage of chips.
On the Moonshots panel, Peter Diamandis runs a Grok Bot chief of staff called Skippy and Emad Mostaque runs 18 of them across his own machines, installing models and making art. Salim Ismail calls it the move from asking an AI to assigning work; Alex argues the messaging-app interface cannot possibly scale.
On The Diary of a CEO, critic Ed Zitron praises a chatbot for reading a troubleshooting log and for helping fix his son's Minecraft mod, then argues that neither is worth a trillion dollars. The host counters with his fiancée's one-woman business and his chief of staff's inbox. The argument turns on tokens, subscription rate limits and who is paying the real bill.