GPT 5 has just been released… And here's already GPT 6 → https://youtube.com/watch?v=TOZc6bwOnaw … What are the new features? The release date? And why so fast? I'll tell you everything in the video #ChatGPT #ChatGPT5 #GPT5
MACHINE LEARNING
-
Magic Canvas: AI’s Smarter Context Through Integrated Data, Rules, Assets, and Knowledge
By
–
1. Visual context at the core Magic Canvas isn’t a drawing board. It’s a fully integrated environment where: • Data
• Rules
• Assets
• Knowledge all feed the AI. Smarter context = smarter apps. -
Darwin Gödel Machine: Self-Improving AI System Breakthrough
By
–
Science fiction? Far from it. Researchers recently created the Darwin Gödel Machine, which is “a self-improving system that iteratively modifies its own code.” https://
bit.ly/4mvLKND #AI #selfevolvingAI #ArtificialIntelligence #Technology #TechNews -
Bad Model Good Context Outperforms Good Model Bad Context
By
–
bad model + good context > good model + bad context The Big Labs don't want you to know this
-
RotBench: Evaluating MLLMs on Image Rotation Detection
By
–
RotBench Evaluating Multimodal Large Language Models on Identifying Image Rotation
-
Buildathon Projects: AI Products Built by Teams August 2025
By
–
The products that teams worked on at Buildathon: https://
github.com/AIFundTeam/bui
ldathon/blob/main/projects_aug_2025.md
… -
Open Models Power 70% of AI Inference Workloads
By
–
𝗧echnology ecosystem and install base Open models power over 70% of AI Inference workloads. NVIDIA supports 1,000+ OSS projects and 450+ open models like Llama, Gemma, and GPT-OSS, and collaborates on frameworks like @GoogleDeepMind JAX, @PyTorch
, @lmsysorg (SGLang), -
DuPO: Reliable LLM Self-Verification Through Dual Preference Optimization
By
–
DuPO Enabling Reliable LLM Self-Verification via Dual Preference Optimization
-
DeepSeek v3.1 Uses UE8M0 FP8 Logarithmic Training Format
By
–
It is interesting that the new @deepseek_ai v3.1 is trained using the UE8M0 FP8 scale data format which is logarithmic number system. Our multiplicative weights update (Madam) for training in that format was done several years ago while at @nvidia It yields maximum hardware
-
NVIDIA Nemotron Nano 2: Hybrid Mamba-Transformer Reasoning Model
By
–
NVIDIA Nemotron Nano 2 An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model