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Fastest growing startups of the week on TrustMRR: 🥇 EuroAlternative by @piotrkulpinski: +2100% 🥈 Roboquant AI by @ventos99: +1508% 🥉 Aila by @0xhotl: +1448% 4. Provamoda AI by @alecattie: +1354% 5. Fiddlart by @fiddlart: +1107%
💻 https://t.co/Y30jsaHwz9 $30K/m ⚡️ https://t.co/vatLDmi9UG $21K/m 📈 https://t.co/3EDxln5mdi $17K/m ⭐️ https://t.co/MZc8tG9xWi $17K/m 🍜 https://t.co/r07EpGSYJ2 $1K/m 🧬 https://t.co/SfrVXVtmdA $0/m 🧾 https://t.co/7olaOzV8Xd $0/m +20 https://t.co/4zCWHGJp1S
An interesting psycho-socio-epistemological aspect of the current moment is that people with relatively little knowledge in an area can plausibly extract novel findings about that area from an LLM, but their limited knowledge gives them no way to contextualize whether they matter
And of course ChatGPT has been heavily reinforcement-learned to insist that your discovery is not merely novel—it’s revolutionary 🚀
RT @SpeakSamuel: Regardless of how you feel about immigration, the concept of a visa holder who has worked and lived many years in the US b…
Founder: @mixpanel Pizzatarian, programmer, music maker
One of the problems of "deep tech" is that it doesn't distinguish at all between the types of companies. Some need 15+ years before they come close to revenue (yikes), others need less than 15 weeks This is why we created the Deep Tech Score – you need more precision One of the things we're trying to build out is a mapping for what TTR, TVPI, etc. look like for Slingshot and Sniper Shot companies
Chicken Sexing @Cantos & Host @MotionBlurFM // Prev American Dynamism @a16z // Finding founders building the future
RT @MaximillianNYC: We’ve been sharing quite a lot on the @yutori_ai blog, so did a lil redesign to accommodate all the new posts. https://…
Co-founder & Chief Scientist @yutori_ai. Prev: Senior Director leading FAIR Embodied AI @MetaAI and Professor @GeorgiaTech.
I think a robot Olympics would be very exciting to regularize the hype. Especially if the participants had no idea what the environment would look like and a portion of the tasks were unknown. One dark secret of these robots (after spending 6 mo), is almost all of them colossally fail at generalization. Hence "finetune" is the word I'd underline.
Founder: @mixpanel Pizzatarian, programmer, music maker