we are busy arguing whether AI will take over or not..
you mean these same AIs that still struggle with accuracy?
do you even know where most AIs you use get their answers from..
most are synthetic.. meaning not accurate, they are formulated
recently openAI tested their own models + competitors using something called SimpleQA..
a benchmark of over 4,000 tough questions where there’s only 1 correct answer.. guess what?
their top model scored just 42.7% accuracy.. gpt-4o did worse at 38.2%, and the mini version crashed with only 8.6% right answers.. shocking, right?
but
@PublicAI_ is here as a fix to this.. 🔻
instead of relying on synthetic or scraped data, they connect AI providers with 2.5M+ human contributors across 200+ countries to deliver real, diverse, and culturally aware datasets
now you might wonder, has no one tried this before.. yeah some did..
take Scale AI for example.. a web2 giant that captured billions by collecting and selling training data to AI companies.. but the truth?
the individuals supplying that data hardly benefit..
@PublicAI_ flips the script.. they return value back to contributors..
Imagine earning $10+ per hour in parts of the world where that’s way above the average wage..
they even had campaigns like Mother Tongue that do not only create opportunities but also help preserve underrepresented languages..
and if you are still doubting publicAI’s capabilities.. let me burst your bubble..
big names like Adobe, LumaAI, and Fortune 500 partners already use publicAI’s services.. why?
because unlike platforms chasing volume, publicAI prioritizes quality with verification systems, stake slashing for poor work, consensus voting + reputation checks..
enterprises pay for premium datasets, and that money flows back to contributors
but it doesn’t stop there..
@PublicAI_ is also cementing itself as web3’s flagship AI infra..
by joining
@chainlink BUILD, they’re pioneering Intelligence Feeds, human-validated data not just for AI training but even for blockchain oracles..
ecosystem backing? check this out, 🔻
⁍
@NEARProtocol Foundation actively joins buybacks,
⁍
@SolanaFndn provided seed funding, and their Series A investors are already aligned with expansion..
multi-ecosystem support that single-chain projects can’t dream of
and if you think governments + institutions don’t see it too.. think again..
PublicAI is the sole global winner of MIT’s Beyond Borders AI program, supported by the Saudi government.. and they were incubated in the Stanford Blockchain Accelerator..
this isn’t just another token project, it’s AI + blockchain infra with global credibility
but here’s the real kicker.. why does human centric data matter?
because every dataset reflects human perspective..
and if AI is trained mostly on scraped or synthetic data, it amplifies errors, biases, and cultural blindspots..
that’s why current models can “sound smart” yet still fail basic accuracy tests
PublicAI fixes this by making humans the backbone of AI training, real people from 200+ countries contributing context, culture, and nuance that no synthetic generator can replicate..
this doesn’t just make AI smarter.. it makes it fairer, more representative, and trustworthy
and the beauty is that contributors aren’t just exploited for data like in web2..
they get real income, recognition, and ownership in a decentralized system.. meaning the future of AI isn’t just being built for people, but with people
human intelligence powering artificial intelligence.. that’s publicAI
[ bullpost
@rovadotxyz ]
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