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
I am a few days late on this, but I'm proud to say: I have passed my dissertation defense for my PhD! 🎉
I'm so thankful for my advisor @markriedl.bsky.social , my committee, my family, my lab, and all those who have supported me through this. Excited for this next chapter!
Too busy with costumes. As the Carolinas burn, Homeland Security head Kristie Noem says Trump administration is going to ‘eliminate’ FEMA www.the-independent.com/news/world/a...
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.
$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
$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
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
One reason to be intolerant of misleading hype in tech and science is that tolerating the small lies and deception is how you get tolerance of big lies
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
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...
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
Incredibly cool article. Why, in spite of all of the hype about the scale of learning, we shouldn't forget the second half of Sutton's Bitter Lesson: search scales too, and often better yellow-apartment-148.notion.site/AI-Search-Th...
(h/t klowrey)
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!
I try to avoid political topics but this is important. Trump NIH and FDA nominees debut new science journal "increasing transparency" of peer review, but more importantly giving a platform for science that can't pass traditional peer review www.foxnews.com/politics/tru...
Stay skeptical my friends
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...
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...
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.
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.
This review paper by @guillaume-garrigos.com on SGD-related algorithms is a fantastic resource, offering elegant, self-contained, and concise proofs in a single, accessible reference. arxiv.org/pdf/2301.11235
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/
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...
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. 🧵
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.
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.
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.
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
Challenge, starting now: no more undeciphered languages by 2030.
This is an actually important thing to use #AI for. Please, my fellow AI and especially NLP people, if you agree, send this message to your network.
Hey Machine Learning and AI Bluesky: How the heck have we not helped more in deciphering Linear A?!?!? We shouldn't have undeciphered languages any more we need to step up
Sometimes, if your imposter syndrome is in a place where it can be tested a little, its good just to head over to github and see what Phil Wang is working on github.com/lucidrains
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.
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