Ed H. Chi retweeted
We’ve lost an icon. Margaret Hamilton, a computer science pioneer best known for her work at MIT leading development of the flight software for the Apollo missions to the moon, has died at 90. Read about her legacy via MIT News: news.mit.edu/2026/margaret-h…
Ed H. Chi retweeted
Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon!
It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback.
Here’s a look at the benchmarks:
I was heads down and deep in the Lamda project with @quocleix and @HengTze and call into action by @sundarpichai to help launch it in 100 days, which became the Bard experiment.
We rapidly scaled down the lamda model from 128B to 35B, but Jeff was already thinking about Gemini. – at Stanford, CA
Meanwhile, @quocleix and I, and the lamda team was thinking about creativity, and @denny_zhou and I were thinking further more about reasoning and Chain-of-thought implications.
That was an exciting time for launching large reasoning machines. – at Stanford, CA
Berkeley RDI's AI Summit has become one of the best events in the bay area for AI. I flew back from Taiwan just in time to participate. Was fun to to discuss Frontier problems with Igor, Richard, and Dogus.
Replying to @dawnsongtweets
11/15 Frontier Research
What research breakthroughs will define the next generation of AI systems and models?
Join Richard Socher @RichardSocher, Co-Founder and CEO @Recursive_SI and @youdotcom; Ed Chi @edchi, VP of Research @GoogleDeepMind; Ekin Dogus Cubuk @ekindogus, Co-Founder @periodiclabs; Krithik Puthalath, CEO @ZyphraAI; and Andi Peng @TheAndiPenguin, Co-Founder @humansand, and Igor Babuschkin @ibab, Co-Founder and CEO @river_ai_inc, on new frontiers of AI.
👇 Help shape the conversation in this session: What questions would you like the speakers to tackle? What topics would you like to see covered? Reply below to help guide the discussion!
Ed H. Chi retweeted
Very happy to support this on behalf of Google. We have long benefited from open source, are big contributors to open source and in fact have consistently made open weights models with Gemma available from @GoogleDeepMind @demishassabis . Onwards!
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…
Increasingly, I'm focusing my research on the creativity question: how can reasoning and chain-of-thought (schemata) might lead to "creativity" in large models.
Answer is more complicated than I expected---better memory mechanisms, planning, connecting novel knowledge. – at Taipei City, Taiwan
Ed H. Chi retweeted
Gemini 3.5 Flash is amazing!
- Performs better than 3.1 Pro on coding & agentic tasks
- 4x faster than other frontier models
- 12x faster in @antigravity - 800 tokens/sec!
- Often at less than half the cost
And Pro to come…
Try it in @antigravity, @GeminiApp & more - enjoy!
Ed H. Chi retweeted
Dr. @edchi will join GStar Summit 2026 for a keynote on foundation models and a panel discussion on frontier AI.
Website for program details and ticket registration: summit.newturing.ai/
Be part of the conversation!
Related: github.com/juliusbrussee/cav…
"Claude Code skill & Codex plugin that makes agent talk like caveman — cutting ~75% output tokens while keeping full technical accuracy. Now with 文言文 mode, terse commits, one-line code reviews, and compression tool that cuts ~46% tokens."


















