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We live in bubble on this app.
A lot of us are running agents, building workflows, creating skills, comparing harnesses, connecting tools, and etc..
Go ask one of your friends what Kimi or GLM is. They will probably look at you like a madman.
OpenAI’s consumer research found that 49% of ChatGPT messages are still people asking for advice or information.
Another 40% are requests to complete a task.
Meanwhile, 70.2% of sampled Codex users had assigned at least one task estimated to take a person more than an hour.
I’m sure your timeline makes it feel like everyone is running agents and orchestrating workflows.
They are not.
Do not confuse being surrounded by early adopters with being late.
You are early. Keep learning and keep building.
Hybrid 🏃🏾 retweeted
How Devin Covers Every Stage of the Software Lifecycle
• Understand
• Build
• Test
• Verify
• Review
• Secure
• Operate
Everything you need to know in 6 Minutes
Yeah Idk about that..
Last month, we demonstrated high-rate alchemy: turning mercury into real, stable gold, beating CERN’s record by a factor of 10.
Last week, we enriched isotopes in the world’s most powerful plasma centrifuge, beating the Soviet record that stood for 40 years.
Now, we’re building a fusion reactor in San Francisco to achieve record power density.
Hybrid 🏃🏾 retweeted
We’ve open sourced an agent plugin that helps secure systems against recent cybersecurity threats.
You can install them with any agent or use them in Devin today:
devin.ai/blog/vulnerability-…
Ai2 just released a browser tool for exploring how the planet is changing.
With OlmoEarth, you can compare a place across years and check the underlying satellite imagery. No account or model training needed to explore.
Their Peru example shows changes around gold mining sites from 2017 to 2025. Pretty cool way to spot places worth a closer look.
Idk who needs to hear this, but build it and release it.
It won’t be perfect. You’ll find things to fix once people start using it. That’s part of building.
You can spend forever tweaking and second-guessing yourself. At some point, you have to put it out there.
Waiting for perfect is how you end up releasing nothing.
bunq’s Finn assistant is running open-weight models on Nebius.
NVIDIA says it matches leading closed models at 60% of the cost per answer.
That’s a 40% saving with comparable quality, according to their report.
source: blogs.nvidia.com/blog/europe…
I love the new Devin mobile app. Been using it daily for my cloud sessions.
However, I still want to control my local sessions from my phone too, so I’m keeping DevinX around.. with a new name: Otterin 🦦
If you pay close attention to what's #̢̛ͥ̀̽̽ͨ̌̓͆̇̀̽ͦͨͫͯ̏̎̇̈̚͜҉̕͢͏͡҉̸̶̛͢͡҉̵̨̭̳̘̹̫͔͖̜̠͖̫̲̖̱̤̻̖͉͢͞͡ͅͅ͏̸̷̢͑̊̀̐ͣͭͭ̉͂ͨ̽͒̊̎͛ͪ̊̎ͩͧ̀͝͠͠͏̸̵̵̷̵ important, you'll see that Hybrid is always cooking at severe levels.
Hermes closing Jensen Huang’s GTC Berlin keynote 🔥🔥
A Microduck robot training demo with Hermes coordinating the models and simulation tools.
Huge moment for Nous and everyone building with Hermes. 🪽
Jensen closed his GTC Berlin 2026 keynote with this Hermes Agent demo as the finale.
He introduced it by saying the way to build an agent is to ask an agent to build it for you, so he installed and set up a customized Hermes in one prompt.
Then he used Hermes, running on @nvidia RTX Spark, to create a simulated training environment for the @huggingface Microduck. Hermes planned an obstacle course with Nemotron and had GPT-6 Astra build it using FreeCAD, Omniverse libraries, Blender, Newton, and Isaac Lab. Hermes trained thousands of simulated ducks on that course until the validated policy was ready to run on the real robot in the physical world.
At Nous, we believe open source is a practical tool as much as a philosophical ideal. It gives users the ability to build powerful, complex workflows chaining numerous local+cloud models, devices, and tools themselves instead of waiting for a company to enable them.
If you pay close attention to what's #̢̛ͥ̀̽̽ͨ̌̓͆̇̀̽ͦͨͫͯ̏̎̇̈̚͜҉̕͢͏͡҉̸̶̛͢͡҉̵̨̭̳̘̹̫͔͖̜̠͖̫̲̖̱̤̻̖͉͢͞͡ͅͅ͏̸̷̢͑̊̀̐ͣͭͭ̉͂ͨ̽͒̊̎͛ͪ̊̎ͩͧ̀͝͠͠͏̸̵̵̷̵ important, you'll see that Hybrid is always cooking at severe levels.
Congratulations fellas.
The more local models the better 🫡
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Sometimes people ask "What can you even do with hermes"
Just about anything truly.
Okay, this one's ridiculous.
Hermes can edit your videos in DaVinci Resolve now.
Hand it a folder of clips and a script. It builds the rough cut right on your timeline.
▸ Scans your footage and music
▸ Builds the cut from your script
▸ Adds markers for each beat
▸ Renders the final file
▸ Shows you the full edit plan before it touches your project
▸ On free Resolve, it hands you a timeline ready to import
One message. Rough cut done.
Mistral + NVIDIA are planning benchmarks for AI agents doing engineering work.
Can they use the tools, finish the workflow and get the result right? And how much time and compute does it take?
Would be good to see a full CAD to simulation task in there.
Today we’re announcing a new collaboration with @nvidia to bring AI to industrial engineering:
- faster simulation
- open benchmarks and supporting datasets for physics AI
- evaluations for agentic AI in CAE and EDA
More here: mistral.ai/news/mistral-nvid…
