I have been working with these tools for about a year now. I am finding the open tools are really catching up in terms of the tasks they can solve. Feel free to dig around in the code. github.com/Neo-X/llm-pl...
Who's Who of AI
Glen Berseth
Why they matter
Researcher with public evidence across Agents & robotics, AI research.
- AI signals
- 1 past 30d
- Sources
- 1 distinct domains
- Discussões
- 0 past 30d
- Latest signal
- 21d ago
Assistant Prof at @UMontreal @mila-quebec.bsky.social @MontrealRobots
. CIFAR AI Chair, RL_Conference chair. Creating generalist problem-solving agents for the real world. He/him/il.
What they're sharing
GitHub - Neo-X/llm-playground github.com
fracturedplane.com
| Glen Berseth fracturedplane.com
Articles & links
#IROS2026 has 1,933 papers. I filtered them down to 3 reading lists totalling 130 papers on robot learning, VLAs, RL fine-tuning of robot policies, imitation learning, and world models, with session times, rooms, and related workshops. Happy reading! www.fracturedplane.com/blo…
Made a short (not really short) reading list of #ICML papers to keep up on robotics and RL. Check out the list here www.fracturedplane.com/blog/2026/07...
Their own posts
Recent commentary
Paid LLMs were down this morning. Again. So I did what any prof does — I open-sourced my whole local LLM setup. Remote GPU via SSH, Ollama, OpenCode, benchmarking scripts. For private docs, planning, learning, and when the cloud flakes out. It's like a spare tire for AI.
What a person can accomplish with LLMs and other recent tools is amazing. I am looking for new project ideas for a data science course to help people understand where LLMs can be used instead of traditional methods and how to use them for real industry projects. Any ideas?
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