Volkswagen: $52B. 9 million cars. $320B revenue.
Cursor: $50B. Wraps API calls around a model it didn't build.
The economics say utility. The multiples say magic.
https://t.co/ACxsfRpSqa
Anthropic's whole brand was one binding safety pledge.
The month it got expensive, they deleted it.
Then filed for an IPO at $965b, and 3 days later said the industry should slow down.
The rule was theirs when it sold. Once it cost them, it's the industry's problem
https://t.co/GnoQKo8KLZ
Uber burned its AI coding budget in four months, then capped engineers at $1,500/mo per tool.
It rebuilt the exact ceiling it spent a year tearing down.
The bill never measured productivity. It measured who burned the most tokens to win a leaderboard.
https://t.co/NR2GM64rvQ
96% on Anthropic's stage Monday. 99% at Investor Day Wednesday. It went up before the slides changed.
Broke down every primary source behind Spotify's AI coding narrative.
What Honk actually does, what 15 years of infrastructure look like, and why none of it transfers.
https://t.co/i6fQtis31V
canvas got hacked through a free teacher account. 30 million students. patched it once, hackers came back a week later. put a ransom note on the login page. during finals. the entry point was a feature nobody thought to audit. it always is.
GM just fired 600 IT people and is hiring "AI-native developers" instead. They call it a skills swap. The people who know how GM's systems actually work leave. The people who know AI but have never seen the systems arrive. The knowledge just vanishes. Nobody notices until production breaks.
Shell shortage nearly cost Ukraine the war. FPV drones fixed that. Then Russia put them on fiber optic cable and they became unjammable. Now AI data centers are buying up the same fiber. Price went from $4 to $50/km. A Starlink terminal costs less than one spool.
https://t.co/VSDzgCMohy
Palantir CEO is in Kyiv today meeting Zelensky. 100+ companies training 80+ AI models on real combat data. drone interception, target detection. While Silicon Valley argues about benchmarks, Ukraine is testing AI where failure means people die.
We trained AI on 518 million GitHub repos.
Most of them are student projects, abandoned prototypes, and unreviewed Stack Overflow pastes.
Then we were surprised that the output is mediocre.
The model isn't broken. It learned exactly what we taught it.
https://t.co/8u2V6egtvz