Reasoning as in science, math, and hard problem-solving capabilities.
MACHINE LEARNING
-
FeatureCrewPod Channel Tests AI Models on Coding Tasks
By
–
You should subscribe to @FeatureCrewPod YouTube Channel, they are doing great work testing models on a bunch of different coding & analytical tasks https://
youtube.com/@FeatureCrewPod -
Basecamp Research Uses AI to Accelerate Drug Discovery Innovation
By
–
🍃 🧬 Basecamp Research is unlocking nature’s blueprint to accelerate breakthroughs in drug discovery, R&D, and beyond.
— NVIDIA AI (@NVIDIAAI) 18 juillet 2025
With #AI accelerated by Microsoft Azure and NVIDIA, they’re creating one of the world’s largest biological databases—fueling scientific innovation across… pic.twitter.com/iEyAwRRSNOBasecamp Research is unlocking nature’s blueprint to accelerate breakthroughs in drug discovery, R&D, and beyond. With #AI accelerated by Microsoft Azure and NVIDIA, they’re creating one of the world’s largest biological databases—fueling scientific innovation across
-
Step-by-Step Guide to Diffusion Models Explained
By
–
A step-by-step guide to diffusion models: https://
bit.ly/4kw0uKo v/
@goyal__pramod -
Quantum Machine Learning: Combining Qubits with Neural Networks
By
–
Quantum Machine Learning: When Qubits Join Neural Nets linkedin.com/pulse/quantum-m…
→ View original post on X — @iainljbrown, 2025-07-18 12:19 UTC
-
Fast LoRA Training and Hugging Face Export Guide
By
–
Kontext training: 1,000 steps, ~3m50, costs about $2.80 – get a fast always-on Replicate model to run your lora
– export directly to Hugging Face -
Kimi K2: Open AI Rivaling Claude 4
By
–
Kimi K2 specs are wild: → 1T total / 32B active MoE
→ SOTA on SWE Bench, Tau2, AceBench
→ Strong in code + multi-step tasks
→ $0.15–2.50 per million tokens via API
→ Open weights + GitHub + playground It rivals Claude 4 in coding but it's free + open. -
Kimi K2: Open-Source LLM Dominates Code & Agents
By
–
Kimi k2 is a terrifyingly good open-source model. Its really good at code, agents, and real-world tasks. It’s open, fast, and beats most LLMs in key benchmarks. I built 3 working apps with it in a day:
-
Foundation Models for NP-Hard Optimization Problems
By
–
See our recent work on applying foundation models to tackle challenging NP-Hard optimization problems:https://t.co/uX2YFnqsOYhttps://t.co/MDPwf8YTkx
— hardmaru (@hardmaru) 18 juillet 2025See our recent work on applying foundation models to tackle challenging NP-Hard optimization problems: https://
sakana.ai/ale-bench