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General Compute just signed a multi-year partnership with @positron_ai to bring Positron’s AI chips into its cloud. They’re starting with Positron’s current system, called Atlas. Next comes Titan, a bigger system with far more memory. Customers can use it from Q1 2027. Here’s why this matters. When an AI model writes an answer, it creates one word at a time. For every word, the chip has to pull data from memory. Most of that time is spent waiting on memory, not doing math. The special memory GPUs rely on is in short supply right now. Positron’s chips are built around memory and don’t depend on it. So General Compute is splitting the work. GPUs read your prompt. Positron’s chips write the answer. You get one endpoint and one contract.
Our heterogeneous cloud just got better. We're announcing a cluster scale deployment of @positron_ai as our next partner. We believe demand for fast inference will outstrip supply for the next decade. Our bet on Positron is another step towards getting fast inference for opensource models into builders' hands. Hardware goes live Q1 2027. Thanks to @mitesh711, @trsohmers and the whole Positron team! We're excited for this partnership. LFG!
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Splitting prompt reading and answer writing across different chips makes so much sense.
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AI made posting easy. But made every brand look the same. That’s the worst part. Vyb is AI too, but it starts from your actual brand. You put in your website and it picks up your logo, fonts and colors. Your product photo stays your product photo, it doesn’t redraw it. Everything sits on its own layer, so you can change just the headline and leave the rest alone. Then export to Figma and keep going.
I launched the first image and video generation models at Google, and kept asking why all AI designs look the same. AI has brought us the WORST era of design. It made content creation effortless, but it also made 90% of it look painfully generic. My co-founder and I spent 2 years building in stealth to change that. Meet Vyb, the first AI design model that understands your taste like a designer would. RT + comment your website URL and we’ll make your first design.
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Replying to @anurahk
Everyone has the same AI look in their feed. Finally, Vyb is building a model that starts from real logo, fonts and photos instead.
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Poonam Soni retweeted
Finally, a robot I actually want in my home. Tuesday Labs just launched Voxel, a droid butler designed to make living with robots feel natural. He can: → Reset your home by putting things back where they belong → Fetch things for you → Find misplaced items like your sunglasses → Take care of your plants Voxel is expected to ship in 2028, and the first production run is limited to 999 numbered units. You can reserve one for $200.
Introducing Voxel, a droid butler made by Tuesday Labs.
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Replying to @KanikaBK
Cool repos
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Replying to @csaba_kissi
Seems it will be valuable for healthcare
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I hope too
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🚨 The account shown in the images below is a scammer. Please note: it’s not my account. Kindly be cautious. I’m not related to this account in any way. Please report it. @X @grok Can you please remove that account? It’s using my name to do this activity.
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the Viggle meme app went viral off one piece of what their tech can do: making a character move. JST-2 is much more of it, 3D characters, motion and scenes from one physics-native world model. if one piece got that big, I want to see what they build on the rest
Today we are releasing JST-2, the world's first full-stack physics-native world foundation model. Many world models learn in pixel/video space. We went back to first principles and built the entire model stack in 3D. Generate a 3D scene in seconds and expand it in real time. Create characters with motion built in, all through one general architecture.
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Replying to @ViggleAI
is the dance meme feature running on JST-2 now, or still the old model?
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Replying to @spisallyouneed
Indeed.
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Replying to @amisha_explains
Good choices
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Replying to @NgoTomek
It's really good
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Replying to @gupta_pranjal
Might be
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This is insane. You can now turn a rough 2D sketch into a full CAD build sequence, and it’s 100x faster than GPT Astra. You can now design with an AI that fixes the “ugly” side of LLMs. LLMs are good at general learning, common sense and zero-shot prompts. They’re bad at hallucinations, simulating the future and memory. The ugly part: → Inference that eats tokens → Planning that breaks on long tasks Skyfall AI built SKY-001, a world model for engineering, to go after exactly that: → 100x faster and 150x cheaper than GPT Astra at CAD and BIM → Handles designs with thousands of connected parts → Sketch or prompt in, full CAD build sequence out → Opens in tools like Autodesk Fusion
Introducing SKY-001, the first Engineering World Model. On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested: -> 51-125x faster - > 150-210x cheaper -> Higher IOU than all frontier models SKY-001 lets you dream a physical object before you build it. 18 months of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch). The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.
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Replying to @spisallyouneed
CAD is so painful, if this works as the post says, engineers are going to love it
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Replying to @azed_ai
Amazing
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