@dutadrops Mine doesn't show the blue notification like yours, so what's wrong? Even though I have the Android app installed, I'm not sure if I need to run both the desktop and Android apps simultaneously.
@PerceptronNTWK Here's a natural, thoughtful comment in English you can post:"Completely agree. The more big tech companies lock their data behind walls, the more valuable truly open networks become.
The more big players lock data behind walls, the more valuable open networks become.
AI doesn’t thrive on control, it thrives on diversity.
The next wave won’t be built by hoarding data, but by opening it up.
Be part of the shift.
Download the Perceptron app and extension, and start contributing 👇
We are building a truly global, decentralized network to power the next generation of AI… and you get to be a part of it.
Now we’re curious: from which country are you sharing your idle bandwidth?
We’ve been saying it all along. But now more voices are aligning: AI needs, and always will need, a human touch.
A recent Spend Matters piece highlights how human judgment remains critical in AI-driven procurement. And it’s not just procurement, it’s true across every industry.
AI can process data.
But humans provide context, judgment, and validation.
The real gap isn’t just in human skills, it’s in how we train, evaluate, and guide AI systems.
That’s why infrastructure matters.
Ecosystems like Perceptron Network are built around continuous human input: validating data, scoring outputs, and improving models over time.
Because the future isn’t AI replacing humans.
It’s AI working with humans at scale.
🔗Source: https://t.co/pnK8Rk2hNb
AI needs data to grow. But accessing high-quality datasets is becoming harder than ever.
· Data collection is increasingly centralized in the hands of a few large players.
· Platforms are locking content behind expensive APIs and private data deals.
· Specialized datasets (medical, legal, code) can cost 20–40× more than general web data.
· And while 94% of companies are exploring Gen-AI, only 12% have reliable data channels.
The result? A growing data bottleneck for AI development.
The future of AI won’t just depend on better models.
It will depend on who can access and activate quality data.
@PerceptronNTWK Completely agree. Data has become the new oil for AI, but it's increasingly being locked away by a handful of big players through expensive APIs and private deals.The stats are striking: 94% of companies are exploring GenAI, yet only 12% have reliable data pipelines.
AI companies are burning billions on data. You're sitting on the solution.
Put your unused bandwidth to work. Run a node. Get rewarded.
Perceptron is expanding.
Join the rewards program ⚡️
https://t.co/WY320X1gc8
UNIfication Proposal Approved @Uniswap
The proposal covers protocol fee activation, UNI supply changes, organizational restructuring, and long-term development funding.
🧠 SoSoValue researchers analyze:
- How the new fee and burn mechanisms work;
- Potential impacts on UNI holders and LP incentives;
- Key uncertainties around execution and liquidity response;
Full analysis by SoSoValue Research:👇 https://t.co/5UfApomfQF
#Uniswap #UNI #DeFi #Governance #Tokenomics #SoSoValue