Currently running GLM-5.1 locally Cannot believe this thing is running on my own GPUs, its really smart
RESEARCH
-
Article discusses sleep science and AI learning opportunities
By
–
We need a new document that AI labs should release with each new model, besides the model card: a sort of changelog I want to see how & in what way the new model changes, breaks, or improves at a range of individual tasks compared to the earlier models. Increasingly important!
-
WebXSkill: Skill Learning Framework for Autonomous Web Agents
By
–
// Skill Learning for Autonomous Web Agents // Web agents can navigate a page, but ask them to repeat a checkout flow they already completed, and they start from scratch every time. This work introduces WebXSkill, a skill learning framework where web agents extract reusable
-
LabWorld Research Collaboration Platform Launch Announcement
By
–
Explore here → https://
labworld-labos.github.io Great job @Charles_Y_Wu @EscheFlex @wenbolu @JinglinJian @LingYang_PU Under the mentorship of @lecong @MengdiWang10 @auto_bio_ai @AI4S_Catalyst @Stanford @Princeton -
AgentConductor: Dynamic Multi-Agent LLM Communication System
By
–
What if multi-agent LLMs could dynamically reconfigure their communication for any task? Researchers from Shanghai Jiao Tong University and Meituan present AgentConductor. This new system uses an LLM orchestrator and reinforcement learning to build smart, adaptive
-
Self-Driving Cars Remain AI’s Most Impressive Real-World Application
By
–
Self driving is still the most impressive use of AI IRL.
-
Biology AI Engine Enables Digital Lab Simulation Planning
By
–
Biology finally has its own AI engine 👀
— Charly Wargnier (@DataChaz) 17 avril 2026
By turning real biomedical protocols into a high-fidelity simulation, AI can now plan, debug, and iterate at digital speed 💥
The scale of LabWorld and LabOS:
→ 100 realistic lab assets
→ 1,000 precise atomic skills
→ 10,000+… https://t.co/N0C6ZtChkuBiology finally has its own AI engine By turning real biomedical protocols into a high-fidelity simulation, AI can now plan, debug, and iterate at digital speed The scale of LabWorld and LabOS:
→ 100 realistic lab assets
→ 1,000 precise atomic skills
→ 10,000+ -
Essential LLM Fine-Tuning Techniques to Master
By
–
LLM fine-tuning techniques I'd learn if I were to customize them:
— Akshay 🚀 (@akshay_pachaar) 17 avril 2026
Bookmark this.
1. LoRA
2. QLoRA
3. Prefix Tuning
4. Adapter Tuning
5. Instruction Tuning
6. P-Tuning
7. BitFit
8. Soft Prompts
9. RLHF
10. RLAIF
11. DPO (Direct Preference Optimization)
12. GRPO (Group Relative… pic.twitter.com/EiUmhJVQjdLLM fine-tuning techniques I'd learn if I were to customize them: Bookmark this. 1. LoRA
2. QLoRA
3. Prefix Tuning
4. Adapter Tuning
5. Instruction Tuning
6. P-Tuning
7. BitFit
8. Soft Prompts
9. RLHF
10. RLAIF
11. DPO (Direct Preference Optimization)
12. GRPO (Group Relative -
Weekly Tech Breakthroughs: Geothermal, AI, Water, and Neuroscience
By
–
Quaise 1st superhot geothermal plant
Panthalassa wave-powered lollipop AI DC
Vital Lyfe Access drinkable water in a box
Sabi hat that can read your mind
Prophetic dream lucidity
Salk Lab gets $41.3M Sonogenetics +Science Breakthroughs + Friedberg What a week for the optimists. -
Best Predictive Modeling Books for Data Science
By
–
The Best Predictive Modeling Books to Read! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Predictive-Boo
ks-Read
…