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Quad Maker 1.1.18 is out. It now automatically toggles all visualisation presets on enter/exit. Here’s a (slightly controversial) sped-up demo over an even more controversial AI model. Real-time run was ~20 mins. #b3d

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Mark Kingsnorth

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19,910 görüntüleme • 2 ay önce •via X (Twitter)

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Introducing Lemon Slice Live: the first real-time audio-video AI model Anyone can video chat with any character by just uploading a single photo. Every pixel on the screen is rendered at 25fps in real-time by a transformer model. Here’s how we built it + a live demo! 👇

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✨🇨🇳A Chinese company, Unipath, has launched a household robot that is now in real-home use. It can wake users up on time, operate home appliances, organize storage spaces, and even cook meals automatically.
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The Fed is losing $100 billion a year. Now, it is blowing even more taxpayer money on out-of-control building renovations. Time for an internal review.
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Enigma labs dropped Multiverse on Hugging Face AI Multiplayer World Model Multiplayer was the missing piece in AI-generated worlds — now it’s here. Players can interact and shape a shared AI-simulated world, in real-time. Training and research cost < $1.5K. Run it on your own PC.
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Enigma labs dropped Multiverse on Hugging Face AI Multiplayer World Model Multiplayer was the missing piece in AI-generated worlds — now it’s here. Players can interact and shape a shared AI-simulated world, in real-time. Training and research cost < $1.5K. Run it on your own PC.

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The controversial influencer known as Clavicular spoke out early Wednesday morning after he appeared to have suffered from an overdose while livestreaming in Miami on Tuesday night and was rushed to a hospital. The influencer, whose real name is Braden Eric Peters, is known for “looksmaxxing.” Here’s what to know about the online subculture.

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Claude Sonnet 4.5 is now the default model for Augment Code. We’re rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker. Here’s how Sonnet 4.5 compares to Sonnet 4:

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you don’t need a robot to see physical ai in action, you just need a browser. this week I finally tried something I've wanted to do for a while: design an SO-101 scene in three.js, connect it to a real leader arm, collect teleoperation data, train an ACT model, then port it to run in the browser. the result is the first ever demo of ACT that runs locally on the web. try it yourself now at

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Introducing Multiverse: the first AI-generated multiplayer game. Multiplayer was the missing piece in AI-generated worlds — now it’s here. Players can interact and shape a shared AI-simulated world, in real-time. Training and research cost < $1.5K. Run it on your own PC. We are open-sourcing everything: code, data, weights, architecture, and research. Here’s a closer look (and how it works!):

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3:29

GraphAI × Fetch.ai - ASI-1 Integration Demo Akhil Verghese, our Head AI Scientist, walks through how Fetch.ai 's ASI-1 LLM now runs natively inside GraphEngine, answering real on-chain analysis queries in natural language; from wallet tracking to token flow interpretation. This demo is more than a feature showcase, it’s the first visible milestone in the GraphAI × Fetch.ai collaboration, illustrating how ASI-1 and GraphEngine together can power agentic systems that understand, reason over, and act on decentralised finance in real time. A first glimpse at an AI-driven, on-chain future where intelligence and decentralised execution converge. Watch the demo.

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Demo alert: What if your company wiki was automatically written and updated by LLMs? Jim Fisher built a demo of this for Granola using all the meetings we've shared internally. Observations so far: it's incredibly up to date (no more stale docs!) and it requires zero effort. Not having a human author feels... different. When it's missing context on something (ie when something happens but we don't talk about it in a meeting) I want to add it manually to the wiki, but then that'll disappear the next time the page gets regenerated... Generally, makes me bullish on workflows where humans feed tons of unstructured data (easiest of which to create is conversations) to an AI, and then AI organizes + structures it on the fly.
1:00

Demo alert: What if your company wiki was automatically written and updated by LLMs? Jim Fisher built a demo of this for Granola using all the meetings we've shared internally. Observations so far: it's incredibly up to date (no more stale docs!) and it requires zero effort. Not having a human author feels... different. When it's missing context on something (ie when something happens but we don't talk about it in a meeting) I want to add it manually to the wiki, but then that'll disappear the next time the page gets regenerated... Generally, makes me bullish on workflows where humans feed tons of unstructured data (easiest of which to create is conversations) to an AI, and then AI organizes + structures it on the fly.

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