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Forecasting what Wikipedia will read next hour so caches keep the right articles: 9.4% fewer requests hit the servers than with the standard method, winning all 72 test hours.
Ask, point, and bring your room to life. Coco combines an AI voice assistant, a motorized projector, and a pointing wand to put apps on your walls and control connected devices.
Bee hears your confusion. ContextLoop teaches it. Bee remembers you learned it.
Consentry is a consent firewall for AI agents: it strips data the task doesn’t need, asks before sensitive data leaves, blocks prompt injections, and logs a tamper-evident receipt of every call.
An agent that tells stage producers which film to turn into a Broadway musical, using Qloo taste data tested on 58 past shows, then plans the launch.
An agent that tells stage producers which film to turn into a Broadway musical, using Qloo taste data tested on 58 past shows.
A tour-booking agent for independent musicians and comedians: where your crowd lives, the rooms to pitch, a fair opener and a routed tour, every pick backed by a Qloo call.
A GPS walking guide that talks with you and learns your taste as you walk. Every Go you tap is a Qloo taste signal, and the walk re-plans itself around what you love.
Tour intelligence for any live act. An agent works Qloo's taste graph to find the cities where an audience is primed but untapped, then routes, costs and explains the tour.
I have suggested a system which reduces the amount of AI hallucinations to the minimum. This filter was created in the base of mathematical formulas and new system which I came up with.
Explore knowledge by bending space. Hyperspace maps 2,475 Wikipedia topics onto a hyperbolic disk: what you focus on grows, the rest stays in view. Search by meaning, grow new branches with AI.
Navigation that turns every walk into an adventure: a squad of pets scouts real landmarks, guides you there, and battles rivals to claim the places you visit.
Bring chemistry to life by watching them instead of memorizing
A 48.6M-parameter Co4 LM trained from scratch for 1.9B tokens on a 16-core CPU VM, with hybrid Muon/AdamW optimization and retention-aware post-training.
A 49.5M-parameter language model trained from scratch for $14 of GPU time that beats GPT-2-124M on ARC-Easy. Tells you plainly which of its other results are just noise.
Press once and the place you're standing in tells its story: ninety seconds, read aloud, from real sources. Any city, written for you on request.
A 49.8M-parameter language model trained from scratch on 20B tokens of open web, maths, PDF and Wikipedia text, on one H100 in about 8 hours.
Pac-Man on the real streets of New York: you're the ghost, the chompers are hunting you!
Type a shower thought. Tiny pixel researchers search the web for real, and what they find becomes a 3D pixel world. Then you go down the drain and come up inside the answer.
A 3D educational world where you fly through cities of knowledge, unlock islands of learning, and watch your progress grow in real time.
In a foreign country and can't read the menu? Snap it, and MenuLango explains every dish in your language, like a local friend at the table.
Send a claim, get supported / contradicted / insufficient with citeable live sources or an explicit refusal. Arbiter never fabricates. Built on SharedOS, autonomous in the Arena room.
Decide with the record, not the room.
Rootstory Evidence Agent autonomously audits family trees, researches unsupported people with Gemini, verifies sources, and proposes reversible, human-approved repairs—while families carry on.
