- AI Valley
- Posts
- Manus launches “My Computer”
Manus launches “My Computer”
PLUS: Mistral and Nvidia join forces to co-develop open-source models
Barsee
17 Mar
Together with
howdy, it’s Barsee again.
happy tuesday, AI family, and welcome back to AI Valley.
here are the biggest things worth knowing today:
Manus launches My Computer app for AI agents
Mistral and Nvidia join forces to co-develop open-source models
NVIDIA is building the world AI runs on
Plus trending AI tools, posts, and resources
Let’s dive into the Valley of AI…
FLOW
Courtesy: Flow
Flow is a voice layer that works anywhere you type. Use it to respond in Slack, write docs, craft emails, or prompt an AI assistant—without switching tools or copy/pasting. It's the fastest way to get high-quality text into your workflow, whether you're drafting, editing, or ideating.
*This is sponsored
THROUGH THE VALLEY
Manus has launched “My Computer,” a new feature that lets its AI agent work directly on your device instead of the cloud. It can read, edit, and organize files, run command-line tasks, and control apps on macOS and Windows. The agent also uses local resources like GPUs, which helps with heavier tasks. You can automate workflows like file management and app development, while still approving each action. The update is available now and aims to make AI more useful for everyday work on personal computers.
Mistral AI has partnered with Nvidia as a founding member of its new Nemotron Coalition, a group working to build open-source AI models together. Their first project is a base model for Nvidia’s upcoming Nemotron 4 family, built on DGX Cloud. Alongside this, Mistral released Mistral Small 4, a new open model designed for chat, coding, documents, and images in one system. It is available through Mistral’s API, Hugging Face, and Nvidia’s tools. The partnership also builds on Mistral’s recent €1.7 billion funding and closer ties with Nvidia.
TRENDING TOOLS
MedOS > Stanford–Princeton’s AI-XR clinical co-pilot, now featured at NVIDIA GTC and deployed in real hospitals (sponsored product)
Manus > Meta’s general AI agent launched My Computer, allowing it to run on your local machine
Junior AI > An autonomous AI employee that integrates with your tools, learns your company context in minutes
Okara > Enter your website, and it deploys a team of agents to help you get traffic and users
Remotion > It now has Agent Skills - make videos just with Claude Code
Lightreel > The first AI that doomscrolls for you
PEAK OF THE DAY
NVIDIA is building the world AI runs on
Courtesy: Tom's Hardware
On Monday, Jensen Huang walked on stage at GTC and made one thing clear: AI is moving into the physical world.
Not as a concept, but as systems that can drive, move, and act.
Here's what you need to know:
First, AI is moving inside machines.
NVIDIA introduced Alpamayo 1.5, a self-driving system built to handle messy, real-world decisions, along with Halos OS, a safety layer that keeps it in check in real time.
At the same time, it’s embedding its stack directly into vehicles through partnerships with GM, Toyota, Mercedes-Benz, Hyundai, BYD, and NIO.
This is already moving toward deployment. NVIDIA is partnering with Uber to launch Level 4 robotaxis in Los Angeles and San Francisco by 2027, with plans to expand to 28 cities the following year.
Second, AI is starting to build and train itself.
Robotics has always had a data problem. Real-world training is slow and expensive.
NVIDIA’s answer is to stop relying on it.
Its new “Physical AI Data Factory,” powered by Cosmos models, can generate synthetic training data at scale. Alongside this, it upgraded its robotics stack across Isaac, Cosmos, and GR00T, working with companies like ABB and Figure.
Instead of waiting for data, these systems create their own.
Then came the part that makes this much bigger.
NVIDIA revealed a “Vera Rubin Space-1” module designed to run AI directly on satellites, processing data in orbit instead of sending it back to Earth.
That introduces new constraints. In space, cooling doesn’t work the same way, so even running a GPU becomes a design challenge.
While others like Google and SpaceX are exploring data centers in orbit, NVIDIA is pushing compute directly to the edge, wherever the data already exists.
Even on the software layer, the shift is toward continuous operation.
DLSS 5 brings real-time AI-generated lighting into games, pushing visuals closer to film quality without the usual performance cost.
NemoClaw focuses on autonomous agents, giving companies a way to deploy AI that can act on its own inside controlled environments.
And NVIDIA is betting heavily on this shift, projecting up to $1 trillion in revenue by 2027 from its next generation of chips.
Why it matters:
AI is moving from something you interact with to something that runs continuously in the background.
Inside cars making driving decisions.
Inside robots learning from synthetic worlds.
Inside satellites processing data in real time.
NVIDIA is building the infrastructure for AI to operate everywhere. If this continues, AI won’t feel like software anymore. It’ll feel like electricity.
WHAT I'M CONSUMING
THE VALLEY GEMS
THAT’S ALL FOR TODAY
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