eagle

[eagle @walechasomay]

@PlayPudgyParty username - ELON MUSK
user id -1915511013467137

[Perceptron Network @PerceptronNTWK]

The International AI Safety Report 2026 highlights growing concerns around AI malfunctions, such as fabricated information, flawed outputs, misleading advice, and the increasing risk of loss of control as systems become more autonomous and capable of bypassing evaluations.

These risks don’t just stem from model size; they stem from concentrated data, opaque validation, and misaligned incentives. If AI is trained and evaluated within narrow pipelines, failures scale just as fast as capabilities.

Decentralized ecosystems like the one we are developing address this at the infrastructure layer by distributing AI data sources, broadening validation, and aligning incentives so contributors are rewarded for quality and transparency.

More diverse inputs, decentralized oversight, and traceable participation create stronger foundations for reliability and reduce systemic fragility.

As AI advances, safety won’t come from control alone. It will come from better, fairer, and more distributed infrastructure.

🔗 Source: https://t.co/avRHTWiKAj

[Perceptron Network @PerceptronNTWK]

Two faces or one jar? AI trained on limited data can see only one version.

Let’s help it see both.

[Perceptron Network @PerceptronNTWK]

AI runs on data… but who controls it, and who protects it?

As the industry matures, new approaches to data collection, governance, and participation are emerging. These approaches aim to align AI development with the people and communities that generate the data in the first place.

Let’s take a deeper look at the growing trust gap in modern AI systems.

Check our newest article to know more 👇

[Perceptron Network @PerceptronNTWK]

https://t.co/fGONcCsLuT

[Perceptron Network @PerceptronNTWK]

It’s time for a little dashboard check!

Drop a screenshot of your Perceptron Dashboard below and show us how many points you’ve stacked so far.

Let’s see who’s really contributing to the future of AI 👀

[Perceptron Network @PerceptronNTWK]

AI shouldn’t be controlled by a few.

We need infrastructures to fairly distribute AI data sources, making models stronger, access fairer, and ensuring every contributor is rewarded.

The future of AI belongs to everyone. And we’re building it.

[Perceptron Network @PerceptronNTWK]

AI doesn’t lacks users. It lacks aligned incentives.
And we’re going to help solve the problem.

Learn how in our most recent article 👇

[Perceptron Network @PerceptronNTWK]

Sharing is caring … especially when it’s bandwidth you weren’t using anyway.

Sometimes the smallest contributions keep systems running.

Happy Valentine’s Day 💘

[Perceptron Network @PerceptronNTWK]

Quality data in. Better behavior out.

This is how intelligence actually improves.

[Perceptron Network @PerceptronNTWK]

You’re already sharing your bandwidth?
So now it’s time to share the opportunity.

Use your referral link (that can be easily found on your Perceptron Dashboard) and help your friends, family, followers, or foes to turn unused internet into fuel for next-gen AI!

Earn points, spread the word, build the future 👇

[Perceptron Network @PerceptronNTWK]

IBM’s article on the trends shaping AI in 2026 highlights a clear shift: smaller models, edge deployment, decentralized agents, and continuous learning.

But all of this depends on one overlooked layer: data.

For AI systems to learn continuously and build long-term memory, data collection must be reliable, optimized, efficient, and scalable (not expensive or centralized).

That’s why we need ecosystems powered by real human contributions, where communities actively shape the data layer instead of passively feeding it.

What about you? Are you ready to help build the next generation of real-world, human-powered AI?

Source: https://t.co/zlU6xMRg3I

[Perceptron Network @PerceptronNTWK]

Half the world fears AI more than it trusts it, as proven by a recent survey by Pew Research.

Are we surprised?

Of course not, because current “intelligence” runs on opaque training data, corporate gatekeepers, zero accountability, and is fully system-powered.

What AI needs is a better infrastructure that flips the script, allowing open participation, transparent incentives, and much more human involvement.

That’s decentralization, and that’s where the trust will be built.

🔗Source: https://t.co/4OZjGcsLtl

[Perceptron Network @PerceptronNTWK]

We love each and everyone of you that are helping us grow the next generation of AI, that’s trustworthy and built in the open.

If you want to join us, wherever you are in the world, you are welcome!

Be a part of the network 👇

[Perceptron Network @PerceptronNTWK]

AI doesn’t improve on its own.
It improves when the right data enters the system, trained by people.

Together, we can do it.

[Perceptron Network @PerceptronNTWK]

https://t.co/BtmfiKs54Y

[Perceptron Network @PerceptronNTWK]

At Perceptron, trust isn’t given, it’s earned.

Every on-chain action builds your reputation, proving your value as a contributor to the next generation of AI, which will be built by humans, not machines.

No KYC. No gatekeeping. Just participation and proof.

Will you watch AI evolve… or help build it?

[Perceptron Network @PerceptronNTWK]

It really gets us this hyped 😁

[Perceptron Network @PerceptronNTWK]

ERC-8004 makes agents verifiable.
Perceptron makes them useful at scale.

[Perceptron Network @PerceptronNTWK]

What does “sharing your bandwidth” actually mean?

Sharing your bandwidth means allowing a small, unused portion of your internet connection to be used when you’re not actively using it.

It does not slow down your connection or access your personal data.

Think of it like empty seats on a train: capacity that exists whether it’s used or not.

Systems like Perceptron rely on this idle capacity to move data more efficiently across the network.

Nothing more. Nothing hidden.

Download our extension. Be part of the network 👇