
Top AI Founders Pitching Opportunities at Conviction NYC
3.11 in NYC: @Conviction’s “Mixture of Experts” ✨a curated set of the founders you need to know in AI, pitching you (engineer, researcher, product person) their company to join 💫 https://t.co/hXUsZctqfH
Avoid Startups Whose Founders Aren't AI Wartime
there’s actually a whole raft of tech companies where if the founders are not AI wartime you should abandon ship real fast

Five AI‑Native Startup Ideas Before Embed Apps Close
Last 5 AI-native startup ideas from us @Conviction before Embed apps close (robotics cert, red-teaming chips, materializing institutional memory, physics sim, and getting assurance on abundant generated code) https://t.co/9ykAggZY9P
Anthropic AI Underval
I feel like this dramatically underweights @8enmann’s work at Labs…and @AnthropicAI as an org making space for Labs to cook
AI Native Leverages Agents to Fill Data Gaps
AI Naive: use agents to try to solve the problem. AI Native: use agents to fix the missing data and scattered context that make the problem hard.
Join AI Startup Founders at Conviction's Mixture-of-Experts Event
hi! if you want to work at some of the most interesting startups in AI, come to our next mixture-of-experts event at @conviction and hear from the founders of Harmonic, Worktrace, Sunday, Treehouse and Trajectory https://t.co/ZL7mdnszUl
Composer 1.5 Post‑training Uses More Compute than Pre‑training
“The compute used in our post-training of Composer 1.5 even surpasses the amount used to pretrain the base model.”