yula

Silentium et motus

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@diamai_ It's amazing to see research turning into real-world applications

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DELL JUST PUT AN AI SUPERCOMPUTER IN A BOX SMALLER THAN YOUR ROUTER

This little brick runs on the same Grace Blackwell architecture that powers NVIDIA data centers. A 20 core CPU, 128GB of LPDDR5X unified memory, and enough compute to run huge language models locally without touching the cloud. The QSFP port on the back lets you chain two units together and suddenly your desk handles models with hundreds of billions of parameters

The AI hardware race is shrinking, literally

Data center power used to mean racks, cooling rooms and monthly bills that looked like phone numbers. Now the same class of silicon sits between your keyboard and your coffee cup, drawing power from a regular socket. Every developer who buys one of these boxes is one less customer renting GPUs from someone else

[lagerskoy @lagerskoy]

https://t.co/TPU9kCbNtM

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@iiiichigo_chan The biggest skill is becoming problem solving, not writing more code

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@lagerskoy Catching problems before they're visible is where the real value starts

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THIS DRONE SEES DISEASES THAT ARE INVISIBLE TO THE HUMAN EYE

A farmer walks his field and sees green, healthy crops everywhere. The drone flies over the same field and its multispectral sensors paint half of it red, flagging water stress and nutrient deficiencies weeks before any symptom becomes visible. AI reads light frequencies that human eyes were never built to perceive

Farmers used to pray for good harvests, now they get a diagnosis

Computer vision turns every flight into a health report for millions of plants at once. The model tells you exactly which square meter needs water, which one needs nitrogen, and which one is about to get sick. Agriculture stopped being guesswork the moment AI learned to see the invisible

[lagerskoy @lagerskoy]

https://t.co/6fngjgf1p9

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@scrygg Early detection is almost always better than a late reaction

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@0xMiraqle The real advantage isn't the tool, it's spotting the trend before everyone else does

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@kobaHUB The workflow is simple, consistency is the part that's actually hard

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@beamnxw Local AI hardware is getting seriously impressive without needing a huge workstation

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@Degen_calls_sol The biggest productivity gains come from automating the process, not improving every single prompt

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@0xdimix The real value isn't the hardware, it's the business you build on top of it

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@lagerskoy Once every plant becomes data, farming starts looking very different

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@scrygg Thermal + AI is becoming a powerful combination for finding what the human eye would miss

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@lagerskoy We're moving from reactive farming to data-driven farming, and that's a huge shift

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@yurshevv The best projects often come from choosing the right clients, not just getting more of them

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@yurshevv Glad you found it useful, thanks for reading

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NVIDIA JUST BAKED A $249 SUPERCOMPUTER IN AN OVEN

Jensen Huang literally pulls a fresh AI computer out of the oven like it is Sunday bread. The Jetson Nano Super pushes almost 70 trillion operations per second while sipping just 25 watts of power. A machine that runs neural networks, computer vision and local AI models now costs less than a pair of sneakers

The most dangerous thing about AI is how cheap it is getting

Two years ago this kind of compute lived in server racks behind corporate badges and six figure invoices. Today it fits in one hand, plugs into a wall socket, and any student can train robots on their desk. When intelligence costs $249, the only excuse left is not building anything with it

[starmex @starmexxx]

https://t.co/OVPE3iEQAs

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@antisadh Cheap intelligence is going to change a lot more than most people expect

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@pilsnoir The hardware is a one time cost, the skills you build with it keep paying off

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@antisadh Repurposed hardware keeps proving there's a lot of value left in older chips

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@lagerskoy Once more people can experiment at home, innovation speeds up for everyone