PublicAI

$2,400 in rewards. Live now. • $1,500 MEXC HOLDR raffle • 35,000 $PUBLIC staking pool • $400 ROVA video prizes • Bonus Hero tickets Four engines. One loop. Stake → Hold → Amplify → Repeat. Build & earn before MTS6. See 🧵 below 👇

We didn’t understand how broken voice data pipelines were until we ran Arabic and Chinese campaigns at scale. Dialect isn’t an edge case. It’s the majority of the world. If your data ignores that, your model will too. Clean data is the demo. Dialects are production.

🎉 We have a winner. $100 USDT goes to @kruzhkovdmitry 🏆 Selected at random from everyone who completed the survey. Appreciate everyone who took the time. Your input is already shaping what comes next. More tasks. More opportunities. Stay ready.

In many cases? Less than 40% survives QA The rest looks fine but doesn’t hold up

Quick question: What % of AI data do you think actually gets used? 90% 70% 50% 30% Answer in replies. I’ll share what we see.

The moment of truth is almost here Don't forget to check your email (and spam folder) because you might have something waiting for you from us! We will be announcing the Winner of the $100 prize for participating in our latest survey Stay close

4. Consistency matters more than talent The best contributors aren’t perfect They’re reliable Is that you? Signup! 👉️ beta.publicai.io

Things we didn’t expect after working with 3.5M contributors: 1. Some of the best data comes from people with zero tech background 2. “Perfect” recordings fail QA more often than imperfect ones 3. Real-world noise often beats studio conditions The 4th one surprised us the most Guess it before opening replies

We all learn from demonstration. Even Robots.

Mother Tongue Season 6 is coming. Before it launches, make sure your PublicAI profile is up to date. Languages. Dialects. Recording readiness. The faster you’re ready, the faster you can participate when tasks drop. Prepare now. beta.publicai.io

2026 Q2 is about launch and scale. What’s coming next for PublicAI: 🌟 DataHub Mobile App 🌟 30+ Languages 🌟 Higher Throughput 🌟 EmbodyAI The human layer keeps expanding. And Q2 is where it accelerates. Follow our Roadmap 👇️ docs.publicai.io/publicai-docum…

@TukiFromKL Markets reward margins, not headcount. If cutting people boosts EPS, stocks go up. Brutal, but that’s the incentive structure.

🚨 Are you watching what's happening right now? This morning JPMorgan told Meta to fire 20% of employees to save $5 billion.. literally Tonight Meta did it.. And the stock SURGED. Read that one more time. 14,000 people just lost their jobs nd Wall Street celebrated.. The stock went UP. Your job is not an asset to the company.. It's a cost nd the market just proved it will REWARD companies for deleting you. This is a business model.. Fire humans.. Buy AI. Watch stock go up.. Repeat. Your loss is their gain. Literally. They freed up 14,000 salaries to buy more GPUs from Jensen.

@birdabo $10 slides → $1,000 insights. If this holds, diagnostics just got democratized. Biotech just entered its ChatGPT moment.

Microsoft just dropped GigaTIME this model turns $10 pathology slides into advanced thousand dollar protein analysis. > 40M cells > 14K patients > 24 cancer types > 1,234 new biomarkers discovered > open source 2026 might be the year fr.

@Cointelegraph Prediction markets hit the same wall as casinos. No KYC, no license, no access. Regulation always catches up to attention.

🇦🇷 LATEST: Argentina blocks Polymarket and orders Google and Apple to remove its app, ruling it an unlicensed betting platform without identity verification.

$1,500 is still up for grabs. The MEXC HOLDR Challenge is live and raffle tickets are still accumulating. ➡️ Connect your API. ➡️ Hold at least $5 in $PUBLIC. ➡️ Tickets stack daily. Window closes April 6. 👉️ beta.publicai.io

@TukiFromKL Open vs closed is the real fight. When powerful models drop for free, margins (not progress) get disrupted.

The last time a Chinese lab open-sourced something this big, Nvidia lost $600 billion in a single day. It's happening again. DeepSeek panicked Silicon Valley in January. Crashed Nvidia's stock $600B in one day. Made Sam Altman rewrite his entire business plan. Now there's a second one. Kimi just made AI notably cheaper to run. Open-sourced it. Put it out for free. Meanwhile OpenAI is asking people to pay $200 a month to use a model that already feels behind the curve. Two Chinese labs. Both open source. Both doing more with less. Both giving away for free what American companies charge billions for. The AI race isn't US vs China anymore... It's closed vs open. And closed is losing. And the wildest part? Nobody in Silicon Valley will quote tweet this.. Because admitting a Chinese lab just moved the field forward for free destroys the entire "we need $10B to build AGI" fundraising pitch.

@Forbes Four months in jail. Seventeen months later: $110B. Crypto speedruns both downfall and comeback.

A year and a half ago, Changpeng Zhao was just getting out of jail. After a sweeping investigation into Binance, the cryptocurrency exchange he founded in 2017, Zhao (better known by his initials, CZ) pleaded guilty to failing to maintain an effective anti-money laundering program and agreed to pay a $50 million fine (on top of $4.3 billion paid by Binance), resign as CEO and serve four months in a California prison. What a difference 17 months makes. Forbes estimates that CZ is now richer than ever. His net worth has skyrocketed to $110 billion, up $47 billion from last year, on the annual #ForbesBillionaires list. CZ now ranks as the 17th-wealthiest person on the planet, by our count, and one of just 20 people worth twelve figures. He is richer than Bill Gates. forbes.com/sites/ninabamb… (📸: Krisztian Bocsi via Bloomberg)

@heavensbvnny You can always build it yourself now 🤔

You know what really bugs me these days? We can't own anything. Everything is a subscription service, like literally everything. You can't buy Microsoft Office, you have to purchase a subscription for a year. You literally have to pay for everything FOREVER. Isn't anyone else bothered by this?

Every major AI breakthrough has relied on human input. Voice recordings. Image labeling. Now physical demonstrations. The future of AI is not automated. It is human-in-the-loop infrastructure. And this is exactly where PublicAI is heading next. Stay close.

And this creates a new kind of AI gig economy. People recording demonstrations. People guiding robots remotely. People building libraries of reusable skills. No robotics degree required. Just clear demonstrations and real human behavior.

The next wave of AI training will not come from scraped data. It will come from humans showing machines how the real world works. It is called Learning from Demonstration (LfD). Instead of programming robots line by line, you simply show them the task. The robot watches. The robot learns. And a new category of work emerges.