thinking machines just shipped something the big labs haven't while openai and google keep optimizing for longer autonomous runs, @thinkymachines is betting the future of ai looks more
Nick Trenkler
1 min read
ai models are evolving in two directions right now - direction 1: raw capability. push benchmarks, scale compute, chase agi. examples: openai, anthropic, google - direction 2: efficiency. match frontier
Nick Trenkler
1 min read
new local model for mobile outperforms gemma and qwen minicpm-v 4.6 is a 1.3b vision-language model designed to run entirely on-device, no cloud required. it works on ios,
Nick Trenkler
2 min read
first benchmark for coding agents just dropped by @artificialanlys – finally we've been benchmarking ai models for years. but if you're actually building with ai, you'
Nick Trenkler
2 min read
with one week left to apply for cohort 007 (deadline: may 17th), we took a close look at who made it into the last batch – and what patterns emerge. 60
Nick Trenkler
4 min read
thariq from anthropic just published a post calling everyone to spend 2-4x more tokens on claude code the argument: switch from markdown to html outputs because he "tend[s]
Nick Trenkler
1 min read
top chinese ai labs raised $9b totally, and around $7.35b more are coming from deepseek american labs still dominate on both valuation and total funding raised, and the gap
Nick Trenkler
1 min read
musk hates anthropic. anthropic just leased his supercomputer anyway anthropic and spacex signed a deal on may 6 for anthropic to lease all compute capacity at colossus 1 in memphis
Nick Trenkler
2 min read
your phone can now run ai without the internet – no server, no subscription, no one reading your chats. the model lives on your device and works offline. in 2026 this
Nick Trenkler
8 min read
apple is increasing its r&d budget 34%. what are they developing? for comparison: google, microsoft, meta, and amazon grew their r&d by 29% on average. apple
Nick Trenkler
1 min read
meta, stanford and harvard just dropped a benchmark called programbench, and it's the clearest picture yet of where ai is actually heading the setup: give an agent a
Nick Trenkler
2 min read
today the first ai agent insurance startup launched. it backs you when your agent goes rogue. here's why this exists in 2026 alone, autonomous agents have caused some
Nick Trenkler
2 min read
before yc summer 2026 starts, it’s worth revisiting what yc spring 2026 looks like: 118 startups, and a clear tilt toward b2b infrastructure and workflow automation. 97 out of
Nick Trenkler
2 min read
mckinsey’s 2026 trust and ai risk research found that 72% of executives cite cybersecurity as a leading concern in ai deployment, nearly matching concern around model accuracy. meanwhile, citigroup
Nick Trenkler
4 min read
turns out we've been building ai wrong – a @ycombinator visiting partner explained on a recent podcast episode of decoded yc partners francois chaubard (@FrancoisChauba1) and ankit gupta (@agupta)
Nick Trenkler
2 min read