Follow AI Builders — Not Influencers

While building I'd also love if you go live asap and tweet videos etc of your game With the JS added we can see who gets most popular already during building and maybe we can let that affect the votes a bit too!

People are starting!

this is great, am writing a similar blog which is even more important why there are open harnesses - memory cannot be stuck in a proprietary harness or behind a proprietary api

RT dominik kundel I put Codex into DOOM using Codex app server. Codex modified the actual game files and modified the game engine to render the terminal interface natively and have Codex engage with the game. Original tweet: https://x.com/dkundel/status/2040131018678735301

RT Logan Markewich A super useful tool to explore LiteParse outputs! Original tweet: https://x.com/LoganMarkewich/status/2040126119488454929

RT donald two friends used AI to clone Epstein's Gmail it's been used by over 150 million people and it was built in just 5 hours – here's how they did it Original tweet: https://x.com/donaldjewkes/status/2040121637547425846

RT Sherry Jiang excited that @sarahookr (ceo of @adaption_ai) is joining us at @aiDotEngineer singapore! sara's done amazing work for the ai community, from her roles as vp of research at @cohere and research work at google brain. this one is personal, as i've known sara for over a decade. back when i was still in the bay area, i was volunteering as a pro bono data analyst for a nonprofit she started - to help under-resourced organizations use data for good. i worked directly on a few projects with her team, and what struck me even then was how incredibly sharp sara was, but also how at the heart of everything she does is real impact for the world. since then, sara's done amazing work: - from leading cohere's research lab and shipping multilingual models to 55+ languages - to authoring "the hardware lottery" (one of the most cited papers on why ideas in ai win or lose based on hardware, not merit) - to now building adaption labs around a thesis the industry desperately needs to hear - the future of ai isn't about building bigger models, but about building systems that can learn and adapt continuously so excited to have sara there for http://ai.engineer/singapore from may 15-17! @swyx @agrimsingh @aimuggle @unprofeshme @ivanleomk Original tweet: https://x.com/SherryYanJiang/status/2040120142810481038

We hosted our first ever @llama_index in-office meetup yesterday to pregame First Thursdays 🦙🔥 There’s more involved events we’ll be putting on with panels/talks/workshops where you learn stuff, but this one is pure vibes and fun. We had alcohol and also many non-alcoholic beverage options 🍻🧃 If you couldn’t make it (we had hundreds of registrants but didn’t admit too many initially to be conservative about space), we’re going to be throwing this every month! Next time we will double the number of pizzas. I will be putting on my EDM playlist 🪩

LiteParse Samples 📄🧑‍🏫 LiteParse is our free and fast document parser that can parse text with bounding boxes from any document. I’ve created a new repository that contains some demos on how you can make use of its outputs! ✅ Comparison against PyPDF and PyMuPDF ✅ Visual Citations: search for any keyword and see joined bounding boxes pop up in the source images It should be a default tool to help AI agents OCR any document type (supports PDF, Word, Powerpoint + dozens of other formats), before heavier-weight VLM-based document parsing solutions (like our own LlamaParse). LiteParse Samples repo: https://github.com/jerryjliu/liteparse_samples LiteParse: https://github.com/run-llama/liteparse

Re pod is up! posting full tweet soon https://youtu.be/knx2wrILP1M