Based on Claude’s estimates, the tasks in our sample would take on average about 90 minutes to complete without AI assistance—and Claude speeds up individual tasks by about 80%. The results varied widely by profession:
MACHINE LEARNING
-
New Manuscript: Photovoltaic Solar Plant Maintenance Management Study
By
–
We present our new manuscript published in Springer Nature: "Photovoltaic Solar Power Plant Maintenance Management Based on Statistical Analysis" @AlbaMunozdelRio @Isaac_Segovia_ @faustospain #SolarTech #AI #Engineering link.springer.com/chapter/10…
→ View original post on X — @faustospain, 2025-11-25 10:59 UTC
-
Meta’s Three-Gate Theory Explains Sparse RL Updates in LLMs
By
–
This Meta paper just gave an empirical proof of why RL updates in LLMs are so sparse! They proposed this "Three-Gate Theory” & showed that pretrained models have highly structured optimization landscapes, so geometry-aware RL is much better than heuristic based SFT methods
-
Cerebras Co-hosts 8th Neural Scaling Workshop at NeurIPS 2025
By
–
Heading to @NeurIPSConf 2025? Cerebras is co-hosting the 8th Neural Scaling Workshop at NeurIPS 2025 with @mbzuai
, @Mila_Quebec and CERC-AAI Lab. Join us: https://
luma.com/gy51vuqd -
Anthropic releases Claude Opus 4.5 scoring 80.9% on SWE bench
By
–
BREAKING : Anthropic released Claude Opus 4.5 and it scores 80.9% on SWE bench verified! Where is the wall?
-
AI Agents: Goal-Driven Systems Beyond Chatbots
By
–
AI Agents aren’t just chatbots. They’re goal-driven systems that sense → reason → plan → act → learn. Key building blocks:
• Goals + tasks
• System prompt + oversight
• Memory (short + long term)
• Tools (web, code, apps, data, functions) The real shift: AI moving from -
Nested Learning: The Illusion of Deep Learning Architectures
By
–
Nested Learning: The Illusion of Deep Learning Architectures Behrouz et al.: https://
openreview.net/forum?id=nbMeR
vNb7A
… #ArtificialIntelligence #DeepLearning #MachineLearning -
The AI boom explained through 16 comprehensive charts
By
–
The AI boom, as explained in 16 charts: https://
bit.ly/4oNR8fE -
Data Avalanche: Combining Model-Free and Model-Based Methods for Robot Tasks
By
–
Data Flywheel -> Data Avalanche: Thx to Leslie Kaebling and @Pulkitology Agrawal for suggesting "avalanche" as a better metaphor than "flywheel" for combining model-free + model-based methods to bootstrap a specific robot task to bootstrap & amplify on-policy data collection.
-
24 Simultaneous YOLO Streams on Single Edge AI Card
By
–
24 simultaneous #YOLO streams on a single #edgeAI card. That's possible, today. Independent testing shows 875 FPS on YOLOv8 whilst using less than 1 Joule per frame. Proper edge AI performance for multi-camera retail and security systems. Details: https://
eu1.hubs.ly/H0pXdz00