The company not obsessing about the benchmarks is slipping AI into all of the components users touch while others optimize a prompt-based CLI. And they are doing it with compute that the users have paid them for. If you’re counting Apple out because they aren’t spending hundreds of billions on infrastructure, you’re missing the point. They are getting consumers to buy the connectivity and power for them. Consumers care about experience, not benchmarks. Outside of enthusiasts, cars have enough power and reliability for vast majority of users. They don’t care about the engine under the hood, just what the car does. Parents care if they can wave their foot under the trunk to get it to open when there are arms are full. Ultrasonic? IR? Radar? Machine vision? Lidar? They don’t care, as long as it works reliably and is safe. People don't buy horsepower. They buy what horsepower enables. And they certainly don't want to write a prompt to start the car. That AI engines ask users to decide which model to use is a sign we aren’t there. @gruber

JUST IN: McDonald's announces its first-ever reservation-only "fine dining experience" in New York City on October 29.

A juvenile bar-tailed godwit named "B6" set the world record for the longest non-stop migration by an animal by flying WITHOUT STOPPING 13,560 km (8,425 mi) from Alaska to Tasmania, Australia. The journey took 11 days, in which time the bird lost half its bodyweight.

Delta, Chase and Amazon are blocking AI agents. The war on agents has begun, and here’s how it probably plays out: Stage 1: Companies block agents because agents skip the ads and upsells. Stage 2: Agents learn to act like humans, and it becomes an arms race. Stage 3: The market splits. Companies that make money on sales let agents in, companies that make money on data charge for access, and the giants build their own agents. Stage 4: A trusted middle layer for agent identity and payments becomes the standard way in. Stage 5: Companies that welcome agents start winning customers from the ones that block them. Stage 6: The agent blockers come back and let agents in on their own terms. Stage 7: Everyone starts competing for agents with better prices, faster checkout and SEO built for agents. Stage 8: The ads come back, and companies pay to be your agent’s first recommendation. Stage 9: The agent war ends, and selling to agents becomes as normal as having a website.

So Anthropic claimed it ran a 26B AI model across fifteen $55 Android TV boxes. Setup 📺 15× off-brand Android TV boxes 💾 4GB RAM each 💰 ~$55 each 🧠 Gemma4-26B-A4B ⚡ ~0.39 tok/s Total hardware cost = ~$825. The model was sharded across the boxes using pipeline parallelism, so each tiny machine only had to hold and execute part of the network. Yes, 0.39 tps is sloooooooow. But, that 26B model was actually running across a pile of cheap consumer boxes that were never designed to be AI servers. 🎯And Anthropic also said that Qwen3.5-9B agents managed to set up inference successfully on 8 of 9 hardware types they tested, including Macs, Jetsons, and RTX systems. Source: Anthropic Frontier Red Team ⚠️Note that the 15-box demo was distributed inference. The self-replication experiments in the paper were separate.

Instinct should be simple. You shouldn’t have to work around someone else’s app or website to get something done. The interface should be built for you, every time. Today we’re rolling out a new hotel experience, built on exactly that idea. Tell Instinct where you’re going and what you care about, and it builds a hotel guide around your taste. Once you pick a room, Instinct books it for you. Every guide is different. If location matters, you’ll get a map of the city with the closest hotels to where you need to be. If cost matters, the cheapest rooms are front and center. If it’s a big family trip, you’ll see places with a big pool and enough space to keep the kids and grandma all happy.

My muse called Volvo for me to see when the next available appointment is. You can listen to the phone call here. I have it do multiple calls like this every day (I'm still trying to get better and better at leveraging muse). My muse called, waited on the line for 15 minutes, and then got the information I needed. - Saved me a ton of time - Muse was able to talk to the other person, with no confusion or interruptions on Volvo's side, and got the info we needed (This is the real transcript from the call but the audio has been recreated for this video)