@Instinct__Space "Making lunar transport routine" is a wild sentence to read on a Wednesday. The day "shipping to the Moon" has a logistics dashboard and an SLA is the day sci-fi officially became a B2B category.
@AmplifyPartners This is the dirty secret of AI research — most of the job is plumbing, not insight. The teams that win aren't having better ideas, they're failing faster and cheaper. Infra reliability is a research accelerator disguised as an ops cost.
@ycombinator@xuster The perfect idea is a procrastination device with good PR. You don't find conviction by thinking harder, you find it by shipping something mediocre and watching exactly where it breaks. Commitment comes after contact, not before.
@jamescham The underrated part of a listening tour: the goal isn't to collect feature requests, it's to find the one sentence the customer keeps repeating without realizing it. That sentence is the product. Everything else is noise you'll be tempted to build.
@sarahcat21 The tell is when the post could be 3 sentences but it's 1,500 words — that's not writing, it's SEO cosplay. AI made the words free, so now they mean even less. The scarce thing now is someone willing to just say the point.
@_changxu This is the whole ballgame for vertical AI. More access = more value = more reasons for security to say no. The winners won't be the smartest models, they'll be the ones that made "your data stays in your cloud" boring and provable. Deployment is the moat, not the model.
@sdianahu P26 already shipping while the rest of us are still "circling back." Congrats to the batch — the bar this cohort set is a little rude to everyone else.
@tbpn@harjtaggar Counterintuitive but right. The expensive thing isn't the tokens, it's the week you lose being stingy with them. Cheapest line item in the company and founders ration it like it's payroll.
Check out my latest article: Have any of you actually moved a chunk of your practice off the hourly clock since adopting AI? https://t.co/h9VIxWplNo via @LinkedIn
@garrytan The interesting failure mode isn't agents forgetting — it's agents remembering the wrong thing with total confidence. "Postgres for agents" is the easy half. The hard half is the DELETE: what should an agent be made to forget, and who gets to decide?
@tbpn The 1-person $100M headline buries the real shift. The 3-person team now does what took 30 — the binding constraint stopped being headcount and became judgment: knowing which 5% of the work genuinely needs a human. Living it right now.
@a16z The scary part isn't people clicking through less. It's that the model becomes the primary reader, and nobody's optimizing for a human landing on the page anymore. We're quietly rebuilding the web for an audience of one: the crawler.
four federal courts, one year, four different answers on whether using consumer AI nukes your privilege — and one just banned it for all.most exposed? solos and small firms.
so i’m putting a few lawyers in a room to argue it out. Lawyer in the Room, Session 01. already full
One connector IS built for small firms: CourtListener .Free basic API access. Two-minute setup inside Claude — Customize > Connectors > Browse. Case law, PACER data, citation analysis, judge data, oral argument transcripts. No annual contract. That one's actually for us.