HackerRank open-sourced their ATS system, and someone built a website around it to score resumes.
I ran my resume through it and got this score ๐ค
LMFAO, is this thing even accurate?
Link in the comments ๐
boris cherny goes on a podcast every three months and says something like โiโve stopped breathing now i just wrote a breath.mdโ and the next day everyone in sf stops breathing
@reach_vb There still isn't a feature where for example I am working on a PR and I merged it and due to that PR I have merge conflicts in the other PR but codex is neither able to pull the latest changes from main not detect if there are any merge conflicts in order to fix them
Something to show people that don't get AI safety at least a little bit. We have so much we don't know and don't currently control in the models.
(extreme content warning, but you're on X)
TorchWM v0.4.1 is out, this release includes, a bunch of bug fixes found from the previous release, support for DMLab, Brax, Mujoco and Gymnasium Robotics environments, support for torchwm CLI and optimizations for Genie WM.
Check this out: https://t.co/16yiW7EORO
https://t.co/tQp2pHrcTs
Gamma world, a really nice paper Multi agent world models from Nvidia. They introduced two methods Sparse Hub attention and Simplex Rotary Agent Encoding which lets the world model expand to multi agent scenarios in linear time
๐ What if physical AI policies could interact with generated worlds in real time?
Introducing OmniDreams, a generative world model for closed-loop autonomous vehicle simulation.
Tech report, code, models, and data samples are available now.
Project: https://t.co/BOTWdSJKMx
Code: https://t.co/hPH3KbE6Uy
Model: https://t.co/G4g9TWFD2W
Join the #omnidreams discord channel: https://t.co/AIwYQvc0bv
https://t.co/tQp2pHrcTs
Gamma world, a really nice paper Multi agent world models from Nvidia. They introduced two methods Sparse Hub attention and Simplex Rotary Agent Encoding which lets the world model expand to multi agent scenarios in linear time
Why LLMs are a dead end for human-level intelligence, and especially for Physical AI / Robotics.
The next leap isnโt bigger language models.
Itโs World Models.
I just dropped a full 1-hour presentation from Shanghai:
โWorld Models: the ChatGPT moment for robotics?โ
โ Why LLMs hit a wall
โ Why action-conditioned world models planning in latent space are the real path
โ Live World Forge demo with LeWorldModel + Hugging Face LeRobot
Watch here.
The future of intelligence is embodied, not just chatty.
Delivered a talk on the introduction of world models and DreamerV1 architecture developed by @danijarh in the World Models Reading Group kickoff @AiEleuther .
It was really great getting into the depth of dreamer architecture and introducing world models to people
Ported Google's Draco decoder to pure JavaScript.
https://t.co/jbXeB6AzsF
4.3ร smaller than the WASM build, byte-for-byte identical output, often faster once you factor in load, init and parse.