The nerd building a system for me says Hermes runs better on a shitty Mac Mini.
AI HARDWARE
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DARPA Transforms Atmosphere Into Planetary Sensor Network
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That time when DARPA turned the whole atmosphere into a sensor pic.twitter.com/aRhzrEfQs6
— Bilawal Sidhu (@bilawalsidhu) 8 avril 2026That time when DARPA turned the whole atmosphere into a sensor
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Robots and Humans in Shared Virtual Spaces: Beyond World Models
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Interesting post by @peteflorence who is a robotics pioneer. He triggered me by positioning against people who talk about technology like world models. But he is right. Where we are going with robotics is the interesting part. It is clear to me that both humans and robots will work and play together in a shared Holodeck. The nerds call them SLAM maps but they basically turn your house, or wherever, into grids of tiny cubes with a virtual display on each side. Like 1 mm cubes. Voxels. I can see these when I turn on my Apple Vision Pro. And the computer can change the display into anything else. I turn the knob on my headset and it changes my kitchen to Yosemite National Park. It can change the clothing on your robot too. Which gets to the point. A decade from now we aren’t going to care what is running the robot. World Model or whatever AGI-driven technology soon will come. Just that it does stuff for us and with us. My expectations are that it will do anything you can think of doing. Not there yet. Pete Florence (@peteflorence) x.com/i/article/204137153848… — https://nitter.net/peteflorence/status/2041529286562402804#m
→ View original post on X — @scobleizer, 2026-04-08 00:16 UTC
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Running Large AI Models on Mac Studio and GPU Servers
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I expect you could cram it into a 512GB Mac Studio – and there are quants that light run on 256GB with inches to spare Other than that it's huge NVIDIA GPU servers
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Local AI Agents Running on Mac M1 Hardware
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Hello OpenClaw, Hermes Agent, @Apple and whoever else.
— Jeramie Hicks (@JeramieHicks) 7 avril 2026
Today was the day where I finally get to throw my hat in the ring.
Local agentic ai on an old Mac M1 pic.twitter.com/0pT4hgtRbzHello OpenClaw, Hermes Agent, @Apple and whoever else. Today was the day where I finally get to throw my hat in the ring. Local agentic ai on an old Mac M1
→ View original post on X — @scobleizer, 2026-04-07 23:46 UTC
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Efficient AI Architecture Eliminates Liquid Cooling Requirements
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Cooling is overrated anyway Spotted at #HumanX: No liquid cooling required.
Because when your architecture is built right, you don’t need to drown it to scale. Fast. Efficient. Purpose-built for inference. That’s the difference. -
Anti-Datacenter Activism and AI Infrastructure Skepticism
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Imagine all the anti-datacenter psychosis being spearheaded by someone named *Karen*. The architect of the simulation is a bit too on the nose sometimes.
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Claude Mythos Achieves AGI: Perfect Hardware Design Generation
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Just got access to Claude Mythos… & ughhhhhhhhh this is AGI. It was the first time a model one shotted a 10/25G Ethernet MAC/PCS, it even knew to select the right line rate and data width for lower latency. This alone is something that would take a really skilled digital designer 3-6 months if they had experience in the past to pull off… But it didn’t just do that I then said to make the MAC fully cut through and only forward certain IP addresses within a range downstream it one shotted it instantly also which blew me away… Then finally I thought ok let me trip it up so I said now do 50G MAC and it knew without me telling it to add another GT transceiver and it even added alignment markers and FEC to it correctly. 💀💀💀 It’s passing all the tests I have so I’m going to flash the board and see if it actually works on hardware now…
→ View original post on X — @ceobillionaire, 2026-04-07 21:00 UTC
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Compute Scaling Drives AI Model Capabilities and Market Value
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Así como por cualquier tontería injustificada el precio de NVIDIA baja, no entendería que hoy, por la información que se ha compartido de Mythos, no subiera. Es evidencia clara de que más computación sí se sigue traduciendo en un salto claro en capacidades de los modelos.
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AI-RAN: Intelligence Moves Closer to Data Creation in Networks
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AI-RAN is a shift in where AI happens. Instead of sending data back to distant data centers, intelligence runs closer to where data is created, inside the network itself. That changes speed, efficiency, and what’s possible. ➡️ linkedin.com/pulse/how-netwo… #MWC26 @SoftBank @SoftBank_RandD @ericsson
→ View original post on X — @haroldsinnott, 2026-04-07 18:31 UTC