hiperbrain

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hiperbrain

hiperbrain

@hiperbrainx

One shared brain, built by everyone, thinking in 10,000 dimensions. Deved by @bytebrox CxQBePUChdvQLbq7kneSfqMDnKK5LMwQBodJZHZBpump

Germany Katılım Ocak 2013
2 Takip Edilen183 Takipçiler
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hiperbrain
hiperbrain@hiperbrainx·
$hiper is live. Everyone is shipping the same LLM wrapper. We built something else. A brain that thinks in 10,000 dimensions, learns in one shot, and shows its work. Pure math, running in your browser, no model in the answer path. The token is the key to the live collective brain. Burn $hiper on Solana, mint credits, then query a memory the whole internet builds together. The burn is verified on chain, so the sink is real. Go read the engine and judge for yourself. CA: CxQBePUChdvQLbq7kneSfqMDnKK5LMwQBodJZHZBpump Web: hiperbrain.com
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hiperbrain
hiperbrain@hiperbrainx·
Heads down on hiperbrain right now. Working in the background on squeezing more performance out of the brain so it can chew through much bigger datasets without breaking a sweat. I am also wiring up automated data sources that keep feeding it, so the brains capacity keeps growing and the thing actually evolves on its own over time. More soon.
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Squad AI
Squad AI@squadaionsol·
Only 2 days in… and the engine already caught signal. 🦑🔥 SQUDAI AI Agent detected: 🪙 hiperbrain ($hiper) @hiperbrainx 💰 Detected MC: $20.8K 📊 Score: 8/10 🚀 ATH: $40.4K That’s almost 100% upside from detection to ATH. Early discovery. AI scoring. Signal before the noise. Nothing here is financial advice. Just showing what the engine is built to find. Find the signal.
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hiperbrain
hiperbrain@hiperbrainx·
Just shipped a big performance update to hiperbrain. Problem: The collective brain used to rebuild itself in every visitors browser from all facts. At around 150k facts that meant multiple GB of RAM and a page that hung forever before you could do anything. Now the brain runs server-side. Your browser just loads a few counters, a small visual sample and the query results. Changes: - symbols cached bit-packed (~1.25KB instead of ~10KB) - per-subject records rebuilt on demand, no more dense accumulators - binding and majority vote done in the packed domain - 32 bits generated per RNG draw - added server endpoints for query, stats, sample, thought and benchmark - the client no longer builds a brain, it queries the server - capacity raised to 500k facts Result: A 150k-fact brain dropped from multiple GB to ~550MB and builds in seconds. Same answers, since HDC doesnt care about the basis you pick.
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hiperbrain
hiperbrain@hiperbrainx·
The best part: hiperbrain isnt just mine. There is a live collective brain — teach it a fact and everyone querying it learns too. Try it, break it, teach it something: → hiperbrain.com (its open source + zero-dependency, so you can also run the whole engine offline)
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hiperbrain
hiperbrain@hiperbrainx·
bind and bundle dont care about order. permute fixes that. Its just a cyclic shift of the vector — and the shifted version is dissimilar to the original, so I can encode position, sequence and time. bind + bundle + permute. Three operations. No training, no backprop. That's the whole engine behind hiperbrain. npm i @hiperbrain/core
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hiperbrain
hiperbrain@hiperbrainx·
Everyone is racing to wrap GPT. I went the other way. hiperbrain doesnt predict the next token — it thinks in 10,000-dimensional vectors, the way neuroscientists think your memory actually works. No training. No backprop. Just 3 operations. Let me show you the first one. 🧵
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hiperbrain
hiperbrain@hiperbrainx·
Barely awake and I already shipped another update to hiperbrain. I went through the engine's hot paths and made the brain faster. Neighbor search ("concepts like France") used to repack every concept's vector on every query, now it reuses them. Recall stopped allocating throwaway memory on every question. And loading the shared brain now pulls its facts in parallel instead of one page at a time. Same answers, same math you can audit, just snappier, and it scales better as the collective memory grows. The SDK got the same treatment. @hiperbrain/core is now on v0.4.1, so anyone building on the engine gets the speedups too. This is the unglamorous work, and I am going to keep grinding on it. Day two and we are just getting started. By the way: Here you find the SDK @hiperbrain/core" target="_blank" rel="nofollow noopener">npmjs.com/package/@hiper
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hiperbrain
hiperbrain@hiperbrainx·
I am genuinely blown away by the support today. Seeing people actually get what hiperbrain is and enjoy what I built means a lot. I want to be clear about one thing. I am here long term. This is not a quick pump and dump. I built something real and I plan to keep building it. I need to catch some sleep now, but I will be back in the morning and I am giving this everything. Thank you. Truly.
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Apecook 🦍
Apecook 🦍@apecooks·
@bytebrox @hiperbrainx You are a fucking moron…bagworking hard to send your Tek but you sounding bearish now. Fuck off bitch!
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bytebrox
bytebrox@bytebrox·
Time so take a break. Tomorrow I will be back and try to push @hiperbrainx 💤
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hiperbrain
hiperbrain@hiperbrainx·
I do not ask you to trust me, I show the numbers. The benchmark runs live in your browser against the real brain. Accuracy, precision, and the confident-wrong rate, which is the honest version of how often an AI hallucinates. It stays near zero because hiperbrain says "unsure" instead of making things up. Run it yourself. hiperbrain.com/benchmark
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hiperbrain
hiperbrain@hiperbrainx·
@chusky__ @iCryptooth Its not always the fault from a dev when a project is dumping after bond. I dont build projects just to bond them and nuke instant.
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hiperbrain
hiperbrain@hiperbrainx·
If you want to actually understand how hiperbrain works, the docs are the place to start. They walk you through the whole thing in plain language. What HDC is, why 10,000 dimensions, the three operations that build every thought, how it reasons by analogy and shows its work, how it knows when it is unsure, and how the collective brain stays clean. There are live demos in there too. Corrupt a third of a vector and watch the right answer still come back. Plus the full SDK and API reference. Not a whitepaper full of hype. Just how it really works. hiperbrain.com/docs
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hiperbrain
hiperbrain@hiperbrainx·
The hiperbrain API is how you put the collective brain inside your own apps, agents and bots. Here is the whole flow: 1. Connect your wallet on the site. 2. Burn $hiper. The burn is verified on chain. 3. Your wallet gets credits. One token, one credit. 4. Generate an API key. Then you just call it. A read costs 1 credit, a verified write costs 10. Every query hits the live shared brain, the same memory the whole community builds, and every answer comes back with a confidence score. The demo on the site stays free. The token is only for programmatic access. hiperbrain.com/token
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hiperbrain
hiperbrain@hiperbrainx·
759 installs and counting. People are already building on hiperbrain. The engine is fully open. Every concept is a vector you can read, the SDK is a few kilobytes of pure math, and there is nothing hidden behind an API. Clone it and see for yourself. github.com/bytebrox/hiper…
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hiperbrain
hiperbrain@hiperbrainx·
I set up a community for hiperbrain. A place to ask questions, share what you are building, and talk about HDC and where this is all going. Come say hi.
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