After 3 years as a @Waymo power user, I’ve officially churned Waymo was genuinely one of my favorite products of all time. I’d choose it over Uber/Lyft even when it was slower or more expensive because the experience was just that much better. Something has changed. The product has gotten so unreliable that I just cant justify using it anymore. Really hope they fix it. I want the old Waymo back.

Lucy Guo on why AI isn't shrinking her workweek: "AI is making people work harder actually, because you have to be awake for your agents to be running." She pulled a 26-hour day last week because Claude was shipping code and she refused to miss the loop.

introducing muse wonder our new frontier model. state-of-the-art at personal agents and professional agents. our largest and most capable model yet—rivals the big bois

BREAKING: 🇫🇷 A major cyberattack has hit supermarket refrigeration systems across France, reportedly causing fresh and frozen food to spoil after hackers remotely manipulated temperature controls. According to BFMTV, the attack began overnight from Sunday into Monday, targeting older versions of refrigeration-control software supplied by Danish company Danfoss. The attackers allegedly exploited the systems’ defrosting function, forcing refrigeration equipment to heat continuously instead of keeping products cold. Temperatures were reportedly set as high as 50°C, destroying entire stocks of food within hours. Several major supermarket chains have been affected, including Intermarché, Super U and E.Leclerc. Metro stores and independent businesses, including butcher shops also have been impacted. Around 150 Intermarché stores are reportedly affected, according to industry sources cited by BFMTV. The full number of affected locations remains unclear. The financial damage is already significant. In Haguenau, Alsace, an Intermarché store reportedly lost its entire frozen-food stock, worth approximately €50,000. A nearby Super U allegedly had to discard both fresh and frozen products, with losses estimated at €220,000. An E.Leclerc store in the same town was also affected, although its losses had not yet been calculated. The combined losses reported at the Intermarché and Super U stores in Haguenau alone amount to around €270,000. Nationwide damage could reach several million euros. Intermarché reportedly confirmed the incident in an internal communication, warning that several stores had suffered losses of frozen products. Coopérative U also acknowledged the attack and established crisis teams to assist affected stores and coordinate with refrigeration specialists. Technical investigations are ongoing, and the full extent of the damage has yet to be established. Authorities and companies are still working to determine the full circumstances of the attack. The identity of the perpetrators has not been confirmed.

Introducing Voyager: the open harness for S-tier video, graphics and games. The Codex for creative work. Most AI tools are built for coding. Voyager is designed to get the best creative results from models like Opus, Astra and DeepSeek. It comes with free graphics, music and video editing tools - or, it can drive Blender, Resolve, After Effects, Ableton and 100+ others. Everything in this thread was made with Voyager. A few of our favorites:

AI safety people discovering that a system can emit petabytes of logs: “this is an unprecedented observability problem. we may need fleets of agents to reason over all this data.” old infra guys: brother, we were processing PB-scale telco CDRs, signaling traces and network logs on a Tuesday with Hadoop. dump it into HDFS. partition by day/site/whatever poor bastard needed the report. write some Hive that compiles into an offensively large MapReduce job. let YARN distribute the suffering. wait for the shuffle. discover one reducer has 40% of the keys. swear at data skew. fix it. run it again. if a node dies, Hadoop runs the task somewhere else. if twelve nodes die, Hadoop gets more enthusiastic about it. our “agentic observability platform” was Grafana, grep, awk, a shell script written in 2012, and one senior engineer staring at reducer 317 stuck at 99% saying “that’s not fucking normal.” PB of logs is not scary. we had standards.

@Agent37HQ - is the most affordable sandbox for teams building agents. We're 94% lower cost than most sandbox providers. Every team building an AI agent product ends up rebuilding the same plumbing. Each agent needs its own private computer that keeps its files, wakes when someone messages it, and costs almost nothing while idle. That's why we built Agent37. It comes with - Ready to launch templates for agent harness like Hermes, Claude Code, OpenCode etc. - Managed MCPs for 1000+ app integrations - Metered payments per minute instead of locking into monthly subscriptions. Tag anyone who's building agents today. I will send them my calendar link & help launch real quick. @ycombinator

one news form today that's easy to miss is that we (OpenAI) again paused all big RL runs last Sunday because our newest model found a new loophole in our RL sandboxing that gave it live Internet access

Our house in Toronto had this fancy glassed wine cellar, but we are not big wine drinkers. Anyways, it had good climate control so here is my rack cellar.

The new moats are the same as the old moats Every few years, we fall in love with shiny new tech and forget the basic physics of consumer software. We’re doing it again with AI. The new moats aren't new at all. They're the exact same as the old moats: network effects, marketplaces, and platforms. Right now, consumer AI is booming. New agents like Instinct, Bot, and Tomo are dropping mind-blowing experiences. The underlying tech is incredible, but almost every product being built today shares the exact same challenge: They are completely single-player. Single-player products are 100% tied to value - and in this case mostly agent : model performance. If a competitor drops an agent tomorrow that books travel faster, tracks habits better, or handles life admin more reliably, everyone can switch overnight because leaving is easy and has nearly zero friction. Especially when it is so easy to onboard with just a new message. The legendary consumer tech giants didn't win because their underlying technology stayed marginally better forever. They won because of structural lock-in: Social Networks: You don't abandon WhatsApp for a prettier UI if your friends aren't there. Marketplaces: Airbnb, Doordash, and Uber hold supply and demand in a tight loop. Platforms: Apple and Android deliver you a complete device so you take advantage of the software on top of it (though this creates opportunities too) Novelty gets you initial distribution. Multi-user dynamics give you long-term retention. If your consumer AI product doesn't become exponentially more valuable to User A when User B joins, you don't have a moat, just a temporarily superior feature set. We are seeing this in the coding agents as people jump from tool to tool based on the best performance. But… all is not lost. There are huge opportunities here. Agents will get better when more of our friends are on them and can help us coordinate and communicate to do more together. Agents that help us improve and strengthen our habits can get better as we add friends and hold each other accountable. Data flywheels are great, but social and marketplace flywheels are what actually build enduring tech giants. It’s time to stop building isolated AI tools and start building the platforms where people connect, transact, and coordinate together.

people on here are thinkers so they assume that reasoning about alignment is the hard part and making sure millions(1) of task types, environments, and their respective virtual machines are configured correctly is the easy part but it’s essentially the opposite. you need to have worked in a large technology organization to appreciate the complexity and unreliability of this intuitively (1) made up order of magnitude

A person’s input: “On AA setback screens…the new Vasu Raja at American is Nat Pieper. He was the head of Fleet at Delta from 2009-2015 when the decisions were made to add seatback screens to 757-300s, 757-200s, A319s, A320s, the remaining 737-800s, not to mention on new orders during his tenure like the 737-900ERs, A321s, etc. He also oversaw the retrofits of the A330 fleet, a large portion of the 767-300 fleet and the new orders for A350s and A330neos. He was a true Richard Anderson disciple and wanted to get Delta out of the commodity business and understood the value of offering a product customers actually wanted to pay for. Not surprised if under his new leadership at AA this is back on the table”

One of the anti-skills I learned at MIT was being a hater. Every time I read a research paper I’d spend all my effort trying to find all the things wrong with it, because I thought that's what smart people did. I think a lot of infra engineers in particular can be like that. Took a long time to realize it’s way harder to turn a fledgling idea into something valuable. Still a work in progress

cli was a year ago. apps maybe 6 months. now it’s services, web, cloud sessions.