Jonathan Balloch

Jonathan Balloch

@balloch.bsky.social

Robotics PhD Candidate @GeorgiaTech studying #RL and #AI I mostly tweet about #AI, #robots, #science, and #3dprinting My thoughts and opinions are my own. jballoch.com

2.5K followers302 following125 posts

Jonathan Balloch reposted

Replying to @trappmartin.eurosky.social

I think a deeper difficulty in ML is the economy of attention. The hundreds of papers each day released on ArXiv in ML means that a reader needs to resort to heuristics to keep up. Stuff like trust a recommender system, or only read famous authors, or scan for buzzwords.

very exciting!

Chris Paxton@cpaxton.bsky.social

$14k open source humanoid robot upper torso. Writing with a pen on a notebook that you're holding is an impressively challenging task! Also comes with an open, modular, python software stack for robot control and planning. openpyro-a1.github.io

Jonathan Balloch reposted

Hiring researchers and engineers for a stealth, applied research company with a focus on RL x foundation models. Folks on the team already are leading RL / learning researchers. If you think you'd be good at the research needed to get things working in practice, email me

Jonathan Balloch reposted

Trying to tell the story behind this explosion of research we are in. An unexpected RL Renaissance. New talk! Forecasting the Alpaca moment for reasoning models and why the new style of RL training is a far bigger deal than the emergence of RLHF. YouTube: https://buff.ly/41bVRPp

interconnects.aiAn unexpected RL RenaissanceNew talk! Forecasting the Alpaca moment for reasoning models and why the new style of RL training is a far bigger deal than the emergence of RLHF.

Jonathan Balloch reposted

Easier installation, faster PPO script, new tutorials. The team has put in so much work and I'm excited for y'all to try it. github.com/Emerge-Lab/g...

github.comGitHub - Emerge-Lab/gpudrive: 1 million FPS multi-agent driving simulator1 million FPS multi-agent driving simulator. Contribute to Emerge-Lab/gpudrive development by creating an account on GitHub.
Daphne Cornelisse@daphne-cornelisse.bsky.social

GPUDrive got accepted to ICLR 2025! With that, we release GPUDrive v0.4.0! 🚨 You can now install the repo and run your first fast PPO experiment in under 10 minutes. I’m honestly so excited about the new opportunities and research the sim makes possible. 🚀 1/2

Awesome!!!

Anton@anton-l.bsky.social

LLM Reasoning labs will be eating good today🍔 We commandeered the HF cluster for a few days and generated 1.2M reasoning-filled solutions to 500k NuminaMath problems with DeepSeek-R1 🐳 Have fun!

Really interesting work from Nvidia, UW, and AI2 Its called SAM2Act—a multi-view robotic transformer-based policy that integrates a visual foundation model with a memory architecture for robotic manipulation. Project page: sam2act.github.io Open code: github.com/sam2act/SAM2...

github.comGitHub - sam2act/SAM2Act: Official Repository for the code of SAM2ActOfficial Repository for the code of SAM2Act. Contribute to sam2act/SAM2Act development by creating an account on GitHub.
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Integrates three core memory components : Memory Encoder (processes predicted heatmaps and current observations, acting as spatial memory), Memory Bank (stores memory from the memory encoder as historical spatial context), Memory Attention – Fuses image embeddings with spatial memory

Really interesting work from Nvidia, UW, and AI2 Its called SAM2Act—a multi-view robotic transformer-based policy that integrates a visual foundation model with a memory architecture for robotic manipulation. Project page: sam2act.github.io Open code: github.com/sam2act/SAM2...

github.comGitHub - sam2act/SAM2Act: Official Repository for the code of SAM2ActOfficial Repository for the code of SAM2Act. Contribute to sam2act/SAM2Act development by creating an account on GitHub.

They build a generalist robotic policy that doesn’t just memorize training data and regurgitate it during test time, but instead remembers past actions as memory and conditions its decisions on them🤖💡

Built on the RVT-2 framework. Has enhanced visual representations via improved SAM2 encoder, generating rich image embeddings for multi-view transformers, and iterative convex upsampling, fusing multi-resolution embeddings.

incredible resource

Andreas Geiger@andreasgeiger.bsky.social

Excited to share that today our paper recommender platform www.scholar-inbox.com has reached 20k users! We hope to reach 100k by the end of the year.. Lots of new features are being worked on currently and rolled out soon.

Jonathan Balloch reposted

As someone who has reported on AI for 7 years and covered China tech as well, I think the biggest lesson to be drawn from DeepSeek is the huge cracks it illustrates with the current dominant paradigm of AI development. A long thread. 1/

Its a bad time

Mark Riedl@markriedl.bsky.social

Hard to do any planning whatsoever in a highly uncertain environment, but I am glad for the reversal. Not out of the woods, freezes and pulled-back grants are still in the works once they get their act together. apnews.com/article/dona...

Jonathan Balloch reposted

@merve.bsky.social said it best👇

Jeremy Howard @howard.fm

I'll get straight to the point. We trained 2 new models. Like BERT, but modern. ModernBERT. Not some hypey GenAI thing, but a proper workhorse model, for retrieval, classification, etc. Real practical stuff. It's much faster, more accurate, longer context, and more useful. 🧵

Jonathan Balloch reposted

Since we are nearing the end of the year, I'll revisit some of our work I'm most excited about from the last year and maybe a sneak peek of what we are up to next. To start of, Robot Utility Models, which enables zero-shot deployment. In the video below, the robot hasnt seen these doors before.

Jonathan Balloch reposted

If you’re in grad school, finding a therapist can be really helpful. The thing you’re doing is hard and it’s harder if you don’t have help managing imposter syndrome, stress, self esteem, and a whole bunch of other things.

Jonathan Balloch reposted

If you want a version of DeepSeek-R1 or GPT-o1 that does a really good job on exactly one task, you can do that for ~$30 www.tomshardware.com/tech-industr... Which is to say that technical implementation of o1/o3/R1 style models are relatively easily achieved. Big tech AI companies have no moat.

tomshardware.comAI research team claims to reproduce DeepSeek core technologies for $30 — relatively small R1-Zero model has remarkable problem-solving abilitiesIt's cheap and powerful.

The more you know

Prof Ray Wills@profraywills.futuresmart.com.au

Zombie statistics False numbers repeated over and over until they become entrenched data Zombie stats negatively impact public discussion, policymaking, and investment If you discuss a zombie stat, post a screenshot, not text www.sustainabilitybynumbers.com/p/battery-re... @hannahritchie.bsky.social

Oh, what a great time to be entering the job market!!! 😅

Nathan Lambert@natolambert.bsky.social

Thinking about the AI job market at NeurIPS by talking to students. It's 1. Higher noise (general state of chaos), and 2. Higher bias (everyone looking for people with existing large model experience) when compared to years ago. TLDR - people both applying and hiring are having a not great time.

this is the way

Kyle Lo@kylelo.bsky.social

have heard students express pressure to have ton of first author papers to keep up w field dunno how much that helps tbh, at least not sthn i weigh heavily when reviewing apps ppl who contrib to cool team projects and open source and real software eng experience stand out more imo