Ethan Mollick@emollick
Using Gemini 4 makes you realize how many other models must be distilling Claude/GPT (or using a similar training pipeline). It feels quite different than other models.
What leading AI figures posted on X
Using Gemini 4 makes you realize how many other models must be distilling Claude/GPT (or using a similar training pipeline). It feels quite different than other models.
muse wonder crushing on bugfixing, ranking as the 4th best model on bug hunt bench [Quoting @PawelHuryn]: So, I tested Muse Wonder Full 1.0 on real work. 2 repos. 105 bugs frontier models missed in Q1 2026. Find and fix what you can. I'm so surprised we need…
Try the Supabase plugin in @bot to monitor, debug, and ship changes to your backend [Quoting @supabase]: Supabase now works with Grok Bot. 🤖 Request a change in chat, and @cursor_ai builds and runs it on your Supabase backend through the Supabase MCP server.…
a thoughtful review of muse wonder full ♥️ to be clear, there is still a lot for us to improve and we are working on ironing a ton of kinks in how we deployed the model [Quoting @theo]: I really like Muse Wonder Full. Let me explain.
I’m good friends with the people in the small team at @Ithaca_Holdings, and they are aces. They'll buy companies which will be especially important in a world with more capable AI and then do great things to the products they provide. [Quoting @GuptaRK22]: To…
"In May 2026, Anthropic averaged around 2,500 code changes merged per day; as of September, we merged over 30,000 per day." 12x growth in just 4 months. This explains why GitHub keeps breaking.
MXC.exe [Quoting @windowsdev]: MXC is generally available on Windows 11, and @Replit is one of the first partners providing support. View the demo to see how you can use local sandboxes in the Replit Desktop App, and join the waitlist for early access:
New on our Engineering blog: Creating in-house source control. In May, we merged around 2,500 code changes per day. In September, we merged more than 30,000 per day. As a result, we became bottlenecked by developer infrastructure built for human (rather than…
I’m betting this becomes a textbook case. How should you transform a company when the technology arrives to do it 100x better? Can you leverage existing network effects to get to scale faster? Can you use AI to dramatically multiply the value of a business an…
Congrats Gemini team. Never bet against Google, the company that brought us Transformers and has overwhelming data, engineering talent, and compute. Everyone has, rightfully, pivoted back to coding. Coding agents are the killer app of AI. We're firmly at an e…
Congrats on the release! Looks like a fantastic model. [Quoting @sundarpichai]: Gemini 4 Argon is here. It’s available globally today for developers and enterprises in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google An…
Gemini 4 Argon is amazing for knowledge work and coding - and it’s super fun to build with! We asked it to create this wizard chess game and it's so cool to see Argon's physics understanding & 3D modelling capabilities, makes me nostalgic for Battlechess on t…
🚨 Gemini Argon 4 Falls Behind Fable And Astra, But Is Ahead of Open Source - Argon 4.0 falls short of GPT 6.1 Sol - ahead of open-source (Deepseek Flash) - much better than Muse Wonder - Muse is marginally better than DeepSeek This is all on our new benc…
Gemini 4 Argon is live on Manus! Brought to you with @googlecloud. Code it, plan it, model it in 3D, and let Manus see it through.
A worthwhile (and unnerving) reminder from Anthropic that we should be paying attention to AI ability thresholds, not just steady climbs In this case, the threshold is the capability needed for a self-replicating AI worm on IoT devices like off-brand TVs
It’s bizarre to me how much noise anthropic made asking for regulatory help before doing this. Hopefully can be a conversation reset now. Was doubly bizarre bc they emphasized the security risk of learning harmful behaviors from their leaky api. If API is uns…
Look up! Mistral models are in orbit 🌍. Proud to join @orbitworksspace and @LoftOrbital's first-of-its-kind AI satellite constellation with @NVIDIAAIInfra. [Quoting @LoftOrbital]: Just a few weeks ago, @orbitworksspace launched Altair, the first of a 50-sate…
A family of constrained-decoding models from @scaledown_team is live on OpenRouter, each one purpose-built for a single task: • Summarize: turns long text, images, and PDFs into short, consistent summaries for context compaction and transcript digests • Extra…
Welcome to the Hermes Agent crew! [Quoting @benohanlon]: It begins! Migration to Hermes. Feeling cute. Might open source my hidden job market harness later.
art cannot be created or destroyed, only remixed (pure code recreation of *the video* using muse wonder)
Thanks! [Quoting @mr_r0b0t]: I’m gonna come out and say it! @Teknium is the best FOSS repo owner in the game. He has a magical way of protecting Hermes Agent while simultaneously understanding your idea and how it could be optimally integrated. To top it all…
Have you all noticed the update channels yet 👀
From satellites to skincare, France is building with NVIDIA. 🇫🇷 Developers, researchers, and businesses across France are using NVIDIA technology and open models to bring AI into the real world. Explore France’s AI ecosystem: Meet two of the people building…
GPT-4 was the undisputed best model in the world for a full year and we all debated whether anyone could catch up or if OpenAI had some secret formula that nobody else knew about. Now there are are 19 AI models that can run on a modern smartphone that are bet…
A year ago, many dunked on Meta for spending billions to hire top AI talent and acquire Alexandr Wang (I was skeptical too, tbh). But the success of the Muse app and models proves one thing: Hire top talent, assemble a cracked team, give them an ambitious goa…
🚨 Self-Improving Agents Maximize Your Revenue - set a goal - agent iterates on a regular basis - each run improves metrics - hit your goal over time Get more conversions, make viral posts and close more deals with swamrs of self-improving agents
now this is the kind of benchmarking i can get behind [Quoting @lillyguisnet]: New sota for my image pointing
How embarrassing. Will work to crack #1 [Quoting @aliansarinik]: We have two additions to PersonalAgentBench: @hark_labs and @OpenAI's Dots! Dots has taken the lead, with Hark close behind while Gemini Spark moves to third, followed by Instinct, Grok Bot, and…
Amazing to see research move from the lab to real-world clinical utility - congrats to the team on this milestone & @TheLancet paper! [Quoting @sundarpichai]: Today @TheLancet published our AMIE study with @BIDMC_Medicine, the first prospective study of p…
Can confirm! Muse Wonder is nowhere near Fable or Astra level This is all getting pretty tiresome. We will publish our new bench shortly with all the details