OpenAI is on a winning streak: Codex passed 4M weekly users, 5x since February. Knowledge workers are now a fifth of them, growing 3x faster than developers. The tool OpenAI built for coders is being adopted fastest by people who don't code. All figures from OpenAI's own
GENERATIVE AI
-
Seeking thoughts on Opus 4.8 after tepid reception
By
–
Almost a week later! What are your thoughts on Opus 4.8?
— Dan Shipper 📧 (@danshipper) 2 juin 2026
We were extremely bullish on it in testing—it seems the response was more tepid once y'all got your hands on it. If you disagreed with our take I'm curious why so we can tune our evaluations!
One theory I have is that by… https://t.co/nBUhzUbYRKAlmost a week later! What are your thoughts on Opus 4.8? We were extremely bullish on it in testing—it seems the response was more tepid once y'all got your hands on it. If you disagreed with our take I'm curious why so we can tune our evaluations! One theory I have is that by
-
Humans as bottleneck for AI code quality checks
By
–
Since a lot of comments ask about it, they cannot really say anything about code quality using their methods. In part, the reason humans are the bottleneck is because humans are doing some sort of quality check on output, acting as a needed complement to AI coding.
-

NVIDIA AI for Media: Synthetic Video Detector and RTX Upscaling
By
–
NVIDIA AI for Media is bringing real-time AI performance into live and on-demand media workflows. Synthetic Detector delivers up to 92% accuracy with latency as low as 22 ms for AI video authenticity checks. RTX Super Resolution and Frame Generation upscale
-

AI Engineering Toolkit: 100+ Libraries for LLMs, RAG, AI Agents
By
–

AI Engineering Toolkit! I have curated a list of 100+ libraries and frameworks for training, fine-tuning, building, evaluating and deploying LLMs, RAG, and AI Agents. Categories of LLM Libraries include: • Vector Databases – Store and retrieve embeddings efficiently.
• -
AI writing similarity obvious when many respond to same prompt
By
–
Another thing about AI writing is that while a single instance of AI writing on a topic may be fine, any situation where lots of people use AI to respond to a particular prompt (comments sections, homework, admissions essays) the similarities among responses is tediously obvious.
-
Google I/O Conversation on Gemma, Open Models, and AI Future
By
–
At @Google I/O, I sat down with @osanseviero and @DynamicWebPaige from Google DeepMind to talk about Gemma, open models, AI Studio, on-device AI, sovereign AI and the future of AI development.
— Chubby♨️ (@kimmonismus) 2 juin 2026
A great conversation on how building with AI is becoming more open, local and… pic.twitter.com/Wk0rU5ZUMjAt @Google I/O, I sat down with @osanseviero and @DynamicWebPaige from Google DeepMind to talk about Gemma, open models, AI Studio, on-device AI, sovereign AI and the future of AI development. A great conversation on how building with AI is becoming more open, local and
-
Built own AI to watch X, AI replies took fun out
By
–
Oh I built my own AI to watch X: https://
alignednews.com/ai I think the AI replies are really what took the fun out of it. -
AI replies becoming a bit overwhelming
By
–
Wow the AI replies start to be a little bit overwhelming

