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We’re excited to share that 4D Labs has received investment from @yzilabs through @EASYResidency Season 2. ⚡️
We’re building the real-world embodied data layer for physical AI — turning real-world interaction into training-ready embodied data. 🦾
AI has learned to speak.
Now it needs to learn how to act.
A new chapter begins.
Sharing my Perceptron Node Dashboard—proud to contribute to a growing decentralized data network and watch it grow step by step.
@PerceptronNTWK#NodeAndProud
NVIDIA put $2B into Nebius. Michael Burry is now shorting the same stock.
If you're watching that trade, both bets are about compute. Neither is about where your data comes from.
Perceptron operates one layer down, collecting the kinds of data both sides are ignoring.
The world's stock of high-quality public text sits at roughly 300 trillion tokens.
Stanford's 2026 AI Index says models could exhaust it by 2032.
Perceptron's 800K+ nodes generate fresh real-world data daily, a supply that keeps replenishing itself.
Proud to keep my Perceptron node running and contribute to a growing decentralised data network. Excited to see where it goes next.
@PerceptronNTWK#NodeAndProud
Finally got around to sharing my Perceptron Node Dashboard. Been keeping the node running and watching the network grow; curious to see what comes next for contributors.
@PerceptronNTWK#NodeAndProud
Been running my node for a while now, and it's been great seeing the network continue to grow. Looking forward to contributing even more. #NodeAndProud@PerceptronNTWK
We're thrilled to announce that Perceptron has closed a $6.5M strategic round.
Centralized scraping is hitting diminishing returns on cost and quality. Closed data partnerships are out of reach for most AI teams. The real bottleneck for AI right now sits at the data layer.
Perceptron compresses global data collection into one mesh: idle bandwidth, unique datasets, and domain expertise from a network already live across 800K+ nodes in 150+ countries, with 300K+ daily active contributors.
This round funds our data-questing platform, letting AI companies commission specific, high-value datasets directly from that network and cutting the timeline from request to delivered dataset down to days.
The network continues to expand.
Join us.
→ https://t.co/nXcXB5JrxY
@PerceptronNTWK This feels like a big milestone. Solving the data layer is one of the toughest challenges in AI, so it's exciting to see more resources going into it.
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.
@PerceptronNTWK A live network with global participation is a much stronger signal than another roadmap full of future plans. Curious to see what's next.
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.