Anthropic Just Ate the Physical AI Stack. Startups, Pay Attention!

@atlasberry008

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Why it worked

The video taps into the current AI hype by focusing on a tangible advancement in AI's real-world application. It frames Anthropic's move as a significant disruption, creating a sense of urgency and strategic insight for startups in the AI space, which is a highly engaged audience.

Summary

The video discusses Anthropic's new Model Hardware Standard (MHS), which allows AI agents to operate physical machines without custom coding. It highlights how this standard has been adopted by various institutions and companies, enabling faster experimentation and automation. The creator suggests this move by Anthropic is strategic, potentially disrupting startups by providing a standardized way to connect AI with the physical world.

Structure

1Introduction to the "physical AI stack" and the challenge of connecting AI to machines.
2Anthropic's release of the Model Hardware Standard (MHS) as a solution.
3Examples of MHS adoption and its impact (e.g., Carnegie Mellon's experiment).
4Explanation of MHS: an open, model-agnostic standard for AI agents to control hardware.
5Comparison to previous approaches and Anthropic's strategic move.

Original caption

Anthropic released the Model Hardware Standard this morning. It lets any AI agent discover and operate any machine without anyone writing custom code for every device. Already live with Genentech, Carnegie Mellon, HHMI Janelia, QuEra, Universal Robots, Danaher, AWS, Raspberry Pi, and Hugging Face. Why this matters: software was the easy part. Every lab instrument and factory machine speaks its own language, and wiring one to an AI takes months of specialist work. That's the reason physical AI has lagged the model layer. Not intelligence — integration. MHS takes that from months to hours. Here's my read. Anthropic sells tokens, and their constraint isn't intelligence — it's reach. Make the connection free, every machine becomes somewhere a token can land, then watch where the volume goes and build the vertical product on top. Same play as MCP, and Claude Science already exists. anthropic, model hardware standard, mhs, physical ai, robotics, mcp, claude, lab automation, agents, venture capital #venturecapital #startup #founder #ai #robotics

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Product placement

Anthropic (company): develops AI models and systems. ACTS: its new standard (Model Hardware Standard) allows AI agents to operate machines. Removing it would change the video's topic. It is the subject of the video. Leica (brand): appears on a microscope. APPEARS: corner watermark. Removing it would not change the video. Genentech (company): biotech company. APPEARS: logo shown. Removing it would not change the video. Carnegie Mellon (university): research institution. ACTS: its researchers used the Model Hardware Standard to connect instruments and run experiments. Removing it would change the video's topic. HHMI Janelia (institution): research institution. APPEARS: mentioned as a user of the Model Hardware Standard. Removing it would not change the video. QuEra (company): appears to be a company involved in quantum computing. APPEARS: mentioned as a user of the Model Hardware Standard. Removing it would not change the video. Universal Robots (company): manufacturer of robots. APPEARS: mentioned as a user of the Model Hardware Standard. Removing it would not change the video. Danaher (company): appears to be a company involved in life sciences and diagnostics. APPEARS: mentioned as a user of the Model Hardware Standard. Removing it would not change the video. AWS (company): cloud computing services. APPEARS: mentioned as a user of the Model Hardware Standard. Removing it would not change the video. Raspberry Pi (company): manufacturer of single-board computers. APPEARS: mentioned as a user of the Model Hardware Standard. Removing it would not change the video. Hugging Face (company): AI platform. ACTS: mentioned as a user of the Model Hardware Standard. Removing it would not change the video. Claude (AI model): developed by Anthropic. ACTS: its tokens are mentioned in relation to controlling machines. Removing it would change the video's topic. Claude Science (product): an AI workbench for scientists. APPEARS: logo shown. Removing it would not change the video. Claude Security (product): appears to be a security-focused AI product. APPEARS: logo shown. Removing it would not change the video. Claude for Legal (product): appears to be an AI product for legal use. APPEARS: logo shown. Removing it would not change the video. Frontier (platform): a private network for frontier builders and backers. ACTS: promoted via a link in the bio, implying it is a service or community the creator is part of or endorsing. Removing it would change the video's call to action. DJI (brand): appears on a microphone. APPEARS: logo on microphone. Removing it would not change the video.

On-screen text

Anthropic Just Ate the Physical AI Stack. Startups, Pay Attention! PHYSICAL AI THE LAST FRONTIER CAN'T TRAIN ON THEM THE SAME WAY BEEN TRAINING SO THE BET STARTUPS COULD WIN BY CONNECTING AI AND PHYSICAL SYSTEMS ANTHROPIC ANTHROP\C TOUCH THAT IS BIG ENOUGH THEY'RE BIG ENOUGH ANTHROP\C FOR THEM RIGHT WELL DAMN OH DAMNNNN... GIFSEC.COM WERE WE WRONG THEY JUST SHIPPED Anthropic pushes into physical world with new standard to help AI agents operate machines THE LARGEST TROJAN HORSE Anthropic pushes into physical world with new standard to help AI agents operate machines YET Anthropic pushes into physical world with new standard to help AI agents operate machines THE MODEL Previewing the Model Hardware Standard Before MHS THE MODEL HARDWARE STANDARD MHS AI AGENTS DISCOVER AND OPERATE MICROSCOPES MICROSCOPES ROBOTIC ARMS QUANTUM HARDWARE QUANTUM HARDWARE WITHOUT ANYONE NEEDING TO WRITE CUSTOM CODE FOR ANY OF THESE DIFFERENT DEVICES AND IT'S ALREADY OUT IN THE WILD CARNEGIE MELLON Genentech The original biotech company Carnegie Mellon Hugging Face LIKE CARNEGIE MELLON TOOK 4 INSTRUMENTS TALK TO EACH OTHER AND THEN ENDED UP FULL DRUG DOSING EXPERIMENT IN LIKE 8 HOURS GETTING A VENDOR TO SET THAT UP TAKEN WEEKS LET'S TALK ABOUT WHAT'S INSIDE THIS TROJAN HORSE ANTHROPIC ANTHROP\C SELLS TOKENS AND NOW WE ALL KNOW IS NOT INTELLIGENCE ANTHROP\C IT'S HOW MANY PLACES THE INTELLIGENCE Model Hardware Standard After the devices are connected and the agent knows how to use each one, the agent needs a way to control the hardware. CAN REACH SO CONNECTING A MACHINE TO AI WOULD TAKE MONTHS WOULD DO IT SO NOW THEY MADE THAT CONNECTION FREE OPEN STANDARD MODEL AGNOSTIC ON ANYBODY'S MODEL THAT'S NOT THEM JUST BEING GENEROUS THEY'RE MAKING SURE MICROSCOPE AND ROBOTIC ARM ON EARTH BECOMES A PLACE THAT CLAUDE TOKENS WE'VE SEEN THIS MOVIE BEFORE MCP GAME OUT FIRST AND CLAUDE CODE AND SECURITY THEN LEGAL THEN SCIENCE Claude Science an AI workbench for scientists Claude FOR LEGAL THEY STANDARDIZE WATCH THE DATA AND THEN THEY END UP BUILDING THE PRODUCT FOR THE HIGHEST ROI VERTICAL IS GOING AND CLAUDE SCIENCE ALREADY EXISTS SO THE QUESTION IS HOW DOES A STARTUP STAY ON THEIR SKIS RATHER THAN JUST AND WAITING FOR THE AVALANCHE BECAUSE THE WHOLE Anthropic pushes into physical world with new standard to help AI agents operate machines WE BUILT CONNECTORS THAT'S NOT A MOAT ANYMORE JUST BEING A FEATURE WHICH IS IS OWN WHAT THE PROTOCOLS CAN'T SEE VISION LANGUAGE MODELS THAT ARE FINE TUNED ENVIRONMENTS PROPRIETARY SENSOR DATA AND WORKFLOWS INTO INDUSTRIES THESE STANDARDS CAN'T REALLY FOLLOW THE PLATFORM ALWAYS GIVES YOU THE ROAD FOR FREE TO DO NOW YOU'RE DRIVING TO STAY THEY'RE COMING IF YOU LIKE STAY CLOSE FRONTIER Signal from the edge. A private network for frontier builders and backers. LINK IN BIO

Transcript

Physical AI is always been the last frontier. Models can't train on them the same way they've been training on the internet, right? So the bet has been that startups could win by connecting AI and physical systems. Anthropic, they're not gonna touch that. They're big enough. They're big enough for them, right? Well damn. Oh damn. Were we wrong? They just shipped. Anthropic pushes into physical world with new standard to help AI agents operate machines. The largest Trojan horse yet. They're calling it the Model Hardware Standard. MHS. And it lets AI agents discover and operate any machine without anyone needing to write custom code for any of these different devices. And it's already out in the wild. Genentech, Carnegie Mellon, HHMI Janelia, QuEra, Universal Robots, Danaher, AWS, Raspberry Pi, and Hugging Face. Like Carnegie Mellon took four instruments that couldn't talk to each other and then ended up running a full drug dosing experiment in like 8 hours. Getting a vendor to set that up would have taken weeks. So let's talk about what's inside this Trojan horse. Because look, Anthropic sells tokens. And now we all know constraint is not intelligence. It's how many places the intelligence can reach. So connecting a machine to AI would take months. They would do it. So now they made that connection free. Open standard. Model agnostic. So it can run on anybody's model. That's not them just being generous. They're making sure microscope and robotic arm on Earth becomes a place that Claude tokens we've seen this movie before. MCP came out first. And Claude code. And security. Then legal. Then science. They standardize. Watch the data. And then they end up building the product for the highest ROI vertical. The MHS is going into the labs and Claude Science already exists. So the question is, how does a startup stay on their skis rather than just and waiting for the avalanche? Because the whole, we built connectors to the real world, that's not a moat anymore. Just being a feature. Which is, is own what the protocols can't see. Vision. Language models that are fine-tuned for specific environments. Proprietary sensor data and workflows. Into industries where these standards can't really follow. The platform always gives you the road for free. So what you got to do now is you're driving to stay to stay ahead of them. They're coming. And again, if you like, stay close. Frontier. Link in bio.