GM everyone
We often think smart AI only comes from mountains of data and crazy GPUs
But newer research shows it’s not just about power, it’s about how the model is built
The architecture can be brain like even before training, but without high quality real world data, the AI still won’t become truly smart
You can feed a model a ton of info, but if the data is noisy, repetitive, or disconnected from real life, it learns slow and makes weird conclusions
But when the data is fresh, diverse, and human verified, the progress feels totally different
@PerceptronNTWK is basically closing that gap, it gives a decentralized data network that becomes a global signal for new models
New research from Johns Hopkins shows that the right AI architecture can mirror human brain activity even before training. This shows that intelligence isn’t built by brute-force data and compute alone.
But architecture is only half the equation. These models still need real-world, diverse, human-grounded data to learn efficiently.
This is the gap Perceptron fills.
Our decentralized data mesh provides the high-quality global signal these next-generation models depend on.
Brain-like models need brain-like data, and Perceptron delivers the data foundation that makes them truly intelligent.
Do you think with the right data AI will ever be able to think like the human brain?
Source: https://t.co/CspRBwGWqW
The most valuable thing in our world is time ⏳
That’s why I absolutely love how Pi Squared makes Web3 payments almost instant! ⚡
In regular blockchains, you often have to wait: confirmations, queues, delays… 😩 But here, it’s completely different! With FastSet, transactions run in parallel, so thousands of payments can happen at the same time - no overload, no failures, no extra stress.
And behind this is OmniSet - it combines payments and liquidity into a single verifiable system. That means money and assets don’t get stuck, but move smoothly and quickly. For us users, it’s almost like magic: you click - and it works instantly 💜
What I love most is that Pi² really cares about user comfort 🌸 The system is reliable, safe, and at the same time easy to use. You just use the service and get results, while all the complex processes stay behind the scenes.
For me, @fastxyz is all about saving time and keeping things simple, when technology works for us, not the other way around 💕
In a world where every second counts, solutions like this are truly priceless!
GM everyone
I wanna wish y’all a productive day and week
I was unfortunately absent for a few days, but we’re starting to move forward
Like always, I wanna thank everyone who supports me, I feel your support, so let’s keep moving forward
Late GM fam
Today I drove more than 250 km
I visited my grandparents
It's extremely pleasant to return to the places where I spent my childhood. It's as if stories happened to me at every corner there
It gives me a lot of strength
But at the same time, I see how my relatives are ageing. And unfortunately, there's no way to fix that
Stay healthy, my friends, and may everything be well with you🙏
gNOME CT
@genome_protocol is building memory into Web3.
Most systems only remember what you did recently.
Genome remembers how you behave over time.
It captures patterns:
When you show up
How often you return
How consistent your actions are
That’s why it matters
I’ll be honest, I never wanted to write a post like this
But right now, it’s the only way to save the situation.
I need your help. I put in the work. I write, research, and invest time and energy.
But on @brevis_zk the reality is simple: without 100 yaps, I won’t make it back to the leaderboard. I’m not good at farming.
I don’t know how to “game” the system or chase points the right way.
What I do know is how to work and see things through.
If everyone who sees this post supports it, it can genuinely make a difference.
I believe that during Christmas, unexpected and good things can happen.
And that effort doesn’t always have to go to waste. If my situation feels familiar to you, support this post.
Give it a chance to go a bit higher. Thank you to everyone who’s here, regardless of the outcome
day 2 of explaining foxy's post to align with copywriting until I get a job
growing your page in copywriting requires you to at least understand you need three types of postings:
70% of your posts are your awareness posts
25% of them as nuture posts
then, 5% for conversion
but, this will encounter some issues with CT,
CT loves its shitposts
that's why you should revamp that and add 1% of your post as shitpost
that's what foxy does,
if he posts 3 times a day, 1 will be shitpost, it's statutory
Entertain just like you educate
GM everyone
We often think smart AI only comes from mountains of data and crazy GPUs
But newer research shows it’s not just about power, it’s about how the model is built
The architecture can be brain like even before training, but without high quality real world data, the AI still won’t become truly smart
You can feed a model a ton of info, but if the data is noisy, repetitive, or disconnected from real life, it learns slow and makes weird conclusions
But when the data is fresh, diverse, and human verified, the progress feels totally different
@PerceptronNTWK is basically closing that gap, it gives a decentralized data network that becomes a global signal for new models
New research from Johns Hopkins shows that the right AI architecture can mirror human brain activity even before training. This shows that intelligence isn’t built by brute-force data and compute alone.
But architecture is only half the equation. These models still need real-world, diverse, human-grounded data to learn efficiently.
This is the gap Perceptron fills.
Our decentralized data mesh provides the high-quality global signal these next-generation models depend on.
Brain-like models need brain-like data, and Perceptron delivers the data foundation that makes them truly intelligent.
Do you think with the right data AI will ever be able to think like the human brain?
Source: https://t.co/CspRBwGWqW
@Vermond the whole idea is that this isn’t just raw data, it’s data created and validated by real people, feedback, ratings, actual actions, and context
GM everyone
We often think smart AI only comes from mountains of data and crazy GPUs
But newer research shows it’s not just about power, it’s about how the model is built
The architecture can be brain like even before training, but without high quality real world data, the AI still won’t become truly smart
You can feed a model a ton of info, but if the data is noisy, repetitive, or disconnected from real life, it learns slow and makes weird conclusions
But when the data is fresh, diverse, and human verified, the progress feels totally different
@PerceptronNTWK is basically closing that gap, it gives a decentralized data network that becomes a global signal for new models