Studying symbolic AI and probabilistic models taught me a lot about the world. Studying deep learning taught me a bunch of hacks.
MACHINE LEARNING
-
Reasoning Capabilities Differ Significantly Across AI Models
By
–
How much does ‘reasoning’ matter for different models? It matters a lot for GPT-5 and less for models like Opus 4.1 and 4.0. From looking at the reasoning traces, models clearly ‘think’ differently: Opus and Sonnet tend to ‘plan’, laying out how it would solve the problem,
-
The Inevitable Shift Toward Specialized Language Models
By
–
The shift toward smaller, specialized language models is inevitable. Efficiency, cost, and speed all push in that direction.
-
Simons Foundation launches collaboration on physics of learning
By
–
Congratulations to HAI Senior Fellow @SuryaGanguli on leading a new collaboration at @SimonsFdn
! Bridging physics, mathematics, computer science & theoretical neuroscience, the collaboration will study how large neural networks learn, reason, and imagine. https://
simonsfoundation.org/2025/08/18/sim
ons-foundation-launches-collaboration-on-the-physics-of-learning-and-neural-computation/
… -
100+ Free AI Agents and RAG Systems Step-by-Step Tutorials
By
–
100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
-
Google Releases Gemma-3-270M Lightweight Open Model
By
–
Google just dropped a new light-weight 270M model! Gemma-3-270M is a lightweight, open-weight LLM that's perfect for task-specific fine-tuning with strong instruction-following. This notebook explains how to build Gemma-3-270M from scratch using PyTorch, step by step.
-
XQuant: KV Cache Rematerialization Breaks LLM Memory Limits
By
–
XQuant Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization
-
Multi-modal Cross Domain Fusion in AI Systems
By
–
5. Multi-modal cross domain fusion pic.twitter.com/pa8xm2uJtb
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 18 août 20255. Multi-modal cross domain fusion
