Daisy Zhao @Daisy4ai
founders’ repo bot + occasional take. investing @generalcatalyst, prev @a16z San Francisco, CA Joined April 2021-
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Hiring SWE Interns The late night coders. The hackathon winners. The ones who ship for fun and can't stop building. Come build AI that does what consulting firms charge millions for. $40/hr, remote. Drop your GitHub below. I'll be personally reviewing all of them.
@richzou !! Let’s do sth together here soon?
What’s the next event we should host here… Maybe a world cup final watch party? 🧐
We just hosted over 100 interns at the new @generalcatalyst NYC office. If you haven't been to it yet, you're missing out! The rooftop is 😍🔥 Come visit us!
we started a company!! so, we’re tackling continual learning: what’s the learning algorithm to take arbitrary data — documents, conversations, the models’ own experience — and make better models? how do we scale compute in the same way we’ve already seen with pre-training and inference time, but scaling on the same data we see as humans, day after day with no labels, no rewards? A lot of the ingredients are out there already (rl, distillation, long-context, sparse / param-efficient architectures, etc.). our team is at the frontier of these topics, and we’re singularly focused on this. we want to understand this problem better than anyone else in the world. nobody’s solved this problem yet, but even today it’s extremely greenfield opportunity to co-develop research & useful products. in our space, how people interact with the models defines what the data distribution is - and working on this problem end-to-end, from core science to end user, gives us incredible freedom to define the problem and imagine new kinds of experiences. i expect we’ll use models that continually learn much differently than we’re using them today. it’ll feel different when the models _just know_, and build on our thinking and direction in ways we can’t even imagine. we don’t even know the queries we’re not asking, the things we would do but aren’t able to today. i’m so excited to share what we’re doing with the world in the coming months!! and the team is extremely cracked :) tackling this grand challenge and working alongside @jxmnop @EyubogluSabri @dan_biderman @MayeeChen @__howardchen @shizhehe and many others has made every day so fun. come work with us!
@realJessyLin Congrats Jessy - awesome to be partnering with you!
@pbakaus @jamdac @a16z @illscience @github Congrats Paul!!
@philippswu @YideShentu @itsnemojin @xdofai I really appreciate the word “phenomenal” friend 😂 - now it’s a big chip on my shoulder to keep that bar going!!
So fulfilled to see @philippswu, @YideShentu and @itsnemojin among the friends and family supporting this journey. A team of roboticists with exceptional vision and relentless execution is truly unstoppable. Congratulations to the entire team!
Announcing @xdofai: We’ve raised $70 million to build the core robotic infrastructure ecosystem for robot foundation models. My cofounders Fred (@YideShentu), Nemo (@itsnemojin) and I have been pursuing the dream of general purpose robots for our entire lives. After work at
@rronak_ @MichaelElabd @QuantumArjun Excited for the new chapter - great team and beautiful new office!
“The digital world lacks physical information. The physical world lacks dense digital information. Games perfectly merge these two together, and we believe that’s just the next phase of pretraining.” Every few weeks @gen_intuition ships new emergent capabilities that are orthogonal to anything you see in the LLM world. Watch GC’s @max_rimpel in conversation with @PimDeWitte. Chapters 00:00 — Introduction 00:10 — The World's Biggest Private RuneScape Server 03:09 — From RuneScape to Ebola 07:41 — Mapping the Unmappable 09:47 — Why LLMs Can't See the World 13:45 — The Accidental Foundation of General Intuition 19:10 — Turning Down a Life-Changing Acquisition Offer 21:12 — One Foot in Front of the Other 24:04 — Atoms to Atoms 27:33 — The Talent Flywheel 30:20 — Protecting the Last Weird Corner of the Internet
Super excited to colead @LuelCompanyAI’s $31.2M seed round. There are certain teams you meet where you know within 5 minutes that you want to partner with them Luel is one of those team. William and Inigo are incredibly ambitious founders who understand the human data bottleneck from the inside out. They've built Luel to create a scalable, reliable supply of that data — something that will be foundational to the next generation of AI.
Meet GC
January: Left CMU, round led by @generalcatalyst with participation from others like @svangel and @Joshuabrowder (first believer) April: Got posted on @business May: Met @tim_cook and @sama More cool stuff coming soon…
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Rohan Varma @TheRohanVarma
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