Most DeAI projects launch with a roadmap.
Perceptron has a live network.
800K+ nodes. 150+ countries. Built in months, one contributor at a time.
That kind of distribution can't be bought overnight.
🚨🔴⚪️ Arsenal have agreed all details of personal terms with Bruno Guimarães and new official bid will follow.
#AFC to offer £70m, Newcastle expect to reject but Arsenal feel they can still get it done.
Arteta, pushing: he wants Bruno.
🎥 https://t.co/Lm334hsHQJ
Data freshness gets the headlines.
Data verification is the harder problem.
Anyone can collect a dataset.
Proving where it came from, who collected it, and whether it holds up takes a network, not a script.
That's the part most AI data pipelines skip.
Running a node earns you a place in the network.
Data questing is the next step: targeted tasks, real rewards, recognition for contributors who do more than stay connected.
It's built for the people who showed up early.
Centralized data providers aren't expensive because they overcharge.
They're expensive because running server farms at scale costs millions before a single dataset ships.
Perceptron's network flips that.
90%+ lower costs, unlocked through decentralization.
🚨🔴⚪️ Arsenal prepare new official bid for Bruno Guimarães: Arteta wants him. 🇧🇷
£55m already rejected, second approach at £65m package rejected too — fee in between £65m and £90m could accelerate talks.
Bruno told Newcastle last week that he wants #AFC move but won’t create issues, leaving decision in club hands.
🎥➕ https://t.co/FC7uO9uc0M
ICYMI - our co-founder Peter sat down with @CryptoCoinShow to break down what Perceptron has actually built. 800K nodes, live clients, and where we're headed. Take a listen 👇
More data will not fix a model.
The open web is already scraped dry.
What AI lacks is context from places web crawling can't reach.
The breakthrough is better access to reality.
Not just bigger models trained on stale data.
Here’s a slice of the network:
💻 79K+ active Chrome extension installs, and counting.
And that’s only on PC.
Perceptron runs on real devices, in real hands, across the globe.
That's the data layer AI needs.
Some believe AI will replace human judgment entirely.
The reality is different.
The most accurate AI systems still depend on human input for context, verification, and special cases only a person could catch.
Perceptron's network connects 800K+ nodes to accomplish just that.
If you're building with AI, here's a stat that matters:
Only 12% of enterprises have real data pipelines.
The other 88% feed models with stale data.
Perceptron data provides context that can't be generated.
Because reality doesn’t live in a dataset.