We have just published internal data on the share of Claude's development that is already done by Claude: – More than 80% of all merged code in our codebase is now written by Claude – It has been months that many researchers at Anthropic
GENERATIVE AI
-
Anthropic’s codebase 80% authored by Claude AI in 2026
By
–
"As of May 2026, more than 80% of the code we merge into Anthropic’s codebase was authored by Claude." Matches independent measures. There really is no sign this is slowing down (which doesn't mean there aren't organizational challenges to absorbing this much productivity gain)
-
New course on serving LLMs efficiently with Red Hat
By
–
New course on serving LLMs efficiently — how do you serve models to many concurrent users at low latency and reasonable cost? This short course is built with @RedHat and taught by @cedricclyburn.
— Andrew Ng (@AndrewYNg) 4 juin 2026
Efficient LLM serving requires efficient memory management. A 70B-parameter model… pic.twitter.com/KeKveT2IicNew course on serving LLMs efficiently — how do you serve models to many concurrent users at low latency and reasonable cost? This short course is built with @RedHat and taught by @cedricclyburn
. Efficient LLM serving requires efficient memory management. A 70B-parameter model -
Nemotron 3 Ultra open-weight release boasts impressive efficiency ratio
By
–
And another open-weight release. Nemotron 3 Ultra has an ultra impressive capability:efficiency ratio! Design-wise, it carries forward the Mamba-2-attention hybrid stack and LatentMoE introduced in the previous Super variant. But everything is a bit bigger.
-
AI Research: Claude’s Improved Decision-Making Outperforms Humans
By
–
AI research is a series of next-step decisions. We looked at sessions where a human researcher took a wrong turn, showed Claude the session up to that point, and asked it what to do next. Mythos Preview improved on humans 64% of the time—up from 22% in 2024.
-
ChatGPT memory adapts to trip planning context and preferences
By
–
We’re building ChatGPT to remember what matters, follow your preferences and constraints, and adapt as things change. If you tell ChatGPT you’re planning a trip in July, memory should understand when the trip is upcoming, happening, and already over. That helps ChatGPT keep
-
New memory system enables review and control of ChatGPT’s context
By
–
With the new memory system, you can review and steer what ChatGPT remembers through a memory summary, with more visibility and control over how context is used. pic.twitter.com/kXMAds0g3q
— OpenAI (@OpenAI) 4 juin 2026With the new memory system, you can review and steer what ChatGPT remembers through a memory summary, with more visibility and control over how context is used.
-
Flows Agent lets you iterate and modify the pipeline dynamically
By
–
Flows Agent lets you iterate through conversation. Tell it to try a warmer voice, swap the background, or generate a version in Spanish. The agent modifies the pipeline and re-runs without rebuilding from scratch.
-
ElevenCreative Flows links 50+ models with voice, music, SFX
By
–
ElevenCreative Flows connects 50+ image and video models with voice, music, and SFX on one canvas. Creators and marketers use it to chain modalities together into complete pipelines and test creative variants across products, languages, and formats.
-
ElevenLabs introduces Flows Agent for automated creative workflow generation
By
–
Introducing Flows Agent in ElevenCreative.
— ElevenLabs (@ElevenLabs) 4 juin 2026
Describe what you want to create and the agent builds your entire workflow – selecting models, creating nodes, wiring connections, and running the generations. pic.twitter.com/m5Dyr77J15Introducing Flows Agent in ElevenCreative. Describe what you want to create and the agent builds your entire workflow – selecting models, creating nodes, wiring connections, and running the generations.