Jason Hadjioannou (@Jasonio) header
Jason Hadjioannou (@Jasonio) profile picture

AI Scientist (pre-OAI) *building stuff

London 🇬🇧, 🇬🇷
Joined October 2015
Photo by Jason Hadjioannou (@Jasonio)Photo by Jason Hadjioannou (@Jasonio)Photo by Jason Hadjioannou (@Jasonio)Photo by Jason Hadjioannou (@Jasonio)Photo by Jason Hadjioannou (@Jasonio)Photo by Jason Hadjioannou (@Jasonio)Photo by Jason Hadjioannou (@Jasonio)Photo by Jason Hadjioannou (@Jasonio)Photo by Jason Hadjioannou (@Jasonio)Photo by Jason Hadjioannou (@Jasonio)
Jason Hadjioannou retweeted
We just killed restaurants. Introducing microwave.io Everyone can now cook their own food at home in just 60 seconds.
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Jason Hadjioannou retweeted
Introducing Omarchy Pocket. Real Omarchy Linux on a $99 dual-screen handheld. We rebuilt the Wayland GUI with PocketJS Applets, made it fluid on hardware that can’t even run Android, and rethought how Linux should work across two screens.
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Jason Hadjioannou retweeted
Either get into wearable AI, hardware, or farming...
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Jason Hadjioannou retweeted
We should start a Homebrew Robotics Club in Palo Alto.
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Jason Hadjioannou retweeted
Unbelievable from the community I’m blown away ❤️
Almost there, go @ashxhart, go ✌🏻
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Jason Hadjioannou retweeted
TensorFold for Mac 1.0.0 is out, which is our first stable Mac app release, with Linux and Windows to follow shortly. What's changed: • A compact Ask TensorFold bar, with window selection, a preview of what you're sharing and local text extraction where available. • Close the main window and keep TensorFold running in the background, with the mesh icon in your menu bar. • Connection health and inbox improvements, so you can see account status and provider errors. • Portuguese interface support. • Engine updates without replacing the whole app, with the option to return to the bundled engine. The app includes engine 1.2.0. You can choose to install 1.2.1 through Models → Details → Engine updates. Activation waits until local work has finished. Thank you to everyone who's tested the betas, reported bugs and supported the project. tensorfold.dev
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Jason Hadjioannou retweeted
Wild idea. The UK does not have any AI labs creating models. Who would be up for banding together in the UK to see if we can create a open community model 🤷‍♂️ Maybe it will be trash but I for one would love to learn and try. Dm me if you are game 💪🏻
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Jason Hadjioannou retweeted
you are the moat
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Jason Hadjioannou retweeted
if we launch enough of these (for <$100 each) we'll literary have our own grid. and then can text all the homies via balloon
We've designed a custom stratospheric balloon platform weighing just under 10 g. anyone can build and launch one by following the docs stratolink.org
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Probably the most valuable plastic parts in the worlds
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Jason Hadjioannou retweeted
You can build your own humanoid robot.
Asimov 1 is an open-source reference humanoid robot. It ships as a complete DIY kit. $20,000 total, delivered to your door. menlo.ai/asimov-1
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Jason Hadjioannou retweeted
This is by far one of the coolest maps of any game I've ever played I know this place like it's my home
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Jason Hadjioannou retweeted
Consciousness is the original vibe coding algorithm
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Jason Hadjioannou retweeted
🚀 Excited to introduce StreamRender-H3 — bringing real-time interactive worlds to life with diffusion models! Built on Sol-Engine, we post-trained @MiniMax_AI H3 Ref2VA into a real-time streaming neural renderer. 🎮 Code drives the world. A game engine handles physics, object states, and player interactions, while H3 generates the visuals. ⚡ Real-time streaming: 2 denoising steps, 24 FPS, and ~273 ms per chunk on 8×GB200 GPUs. 🎨 One world, endless appearances: Change the reference image and prompt to render the same interactive world in entirely different styles. 🔥 Powered by streaming post-training, distillation, a fast causal H3 VAE, and full-stack inference acceleration. Check out our demo and code! 👇 demo: nvlabs.github.io/Sana/Sol-En… code: github.com/NVlabs/Sana/tree/…
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Jason Hadjioannou retweeted
Researchers at MIT developed Draft, a tool that lets engineers design and customize robots by adjusting parameters such as limb length, body size, and motor power. It uses real-world hardware data and reinforcement learning to estimate robot feasibility and test performance in simulation. The tool helps researchers explore robot designs faster without rebuilding CAD models for every change.
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Jason Hadjioannou retweeted
I will be releasing a new interface this month. Solo founder doing hardware for 1st time. 12 months in Shenzhen. Team of 2.5 people. <$400k raised. Since I've operated so lean, made some decisions on our pricing & open source that should make lots of ppl happy. Super excited!
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Jason Hadjioannou retweeted
Robots are taking over!? 👀
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Jason Hadjioannou retweeted
The design era of Y2K tech wearables needs a resurgence
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Droids! 🤖
the snapmaker caravan at @makerfaire bay area
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Jason Hadjioannou retweeted
LLMs can think and reason and understand
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