▪️Finance Student ▫️Passionate about markets & investing ▪️Sharing learnings & research

Joined January 2023
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Big AI companies rely on reinforcement learning from human feedback (RLHF) to train accurate models, but high quality labeling especially for medical or legal data requires actual experts (MDs, JDs). The problem? Companies often outsource to cheap labor regions. The result? Bad actors lying about their credentials, poisoning training data, and wasting millions on inaccurate labels. The @primus_labs solves this with zkTLS based data proofs. Here’s how it works: Instead of trusting a resume, zkTLS verifies the credential cryptographically, a labeler can prove they are an MD or JD without revealing their full identity, their medical license number, or their personal data. The implications: » Integrity: It weeds out bad actors lying about their credentials. » Cost Efficiency: It automates credential verification, cutting operational costs. » Trust: It increases trust in the entire AI data pipeline. As AI models exhaust public data and move toward private datasets, verifying the provenance of data becomes critical. Primus is building the trust layer for the AI economy. Explore the future of AI data with Primus ↓ points.primuslabs.xyz?ref=VR… s.kaito.ai/qtpAK6O
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Ho3ein retweeted
Let’s be honest, crypto onramps and offramps are still a mess. P2P trading is riddled with fraud, chargebacks, and compliance headaches, you either trust a centralized exchange, or you risk getting scammed by a stranger on a P2P platform. The @primus_labs is fixing this with zkTLS. Imagine a world where you can buy crypto with fiat securely, without trusting the other person. Here is the exact workflow Primus enables: » The Escrow: (the seller) deploys an onchain escrow smart contract and prefunds it with tokens (USDC, ETH). » The Payment: (the buyer) initiates a payment using a Web2 platform like PayPal or a similar service. » The Proof: Using zkTLS, buyer creates a data proof. This proof validates the key transaction details sender, recipient, and amount without revealing her entire PayPal history. » The Release: The verified proof is submitted to the escrow smart contract. Once confirmed, the escrow automatically releases the tokens directly to buyer's wallet. Why this is a game changer: It removes the need for human arbitration. It eliminates the (send me the screenshot) game. It creates a secure, end to end solution that is fair, secure, and compliant. This isn't just a theoretical upgrade, it's a fundamental shift in how we move value between Web2 and Web3. Be part of the infrastructure fixing crypto payments. Start Primus XP tasks ↓ points.primuslabs.xyz?ref=VR… s.kaito.ai/qtpAK6O
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Ho3ein retweeted
Big AI companies rely on reinforcement learning from human feedback (RLHF) to train accurate models, but high quality labeling especially for medical or legal data requires actual experts (MDs, JDs). The problem? Companies often outsource to cheap labor regions. The result? Bad actors lying about their credentials, poisoning training data, and wasting millions on inaccurate labels. The @primus_labs solves this with zkTLS based data proofs. Here’s how it works: Instead of trusting a resume, zkTLS verifies the credential cryptographically, a labeler can prove they are an MD or JD without revealing their full identity, their medical license number, or their personal data. The implications: » Integrity: It weeds out bad actors lying about their credentials. » Cost Efficiency: It automates credential verification, cutting operational costs. » Trust: It increases trust in the entire AI data pipeline. As AI models exhaust public data and move toward private datasets, verifying the provenance of data becomes critical. Primus is building the trust layer for the AI economy. Explore the future of AI data with Primus ↓ points.primuslabs.xyz?ref=VR… s.kaito.ai/qtpAK6O
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I'm on the line. ☎️ @PayphoneNFT payphonenft.xyz
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Ho3ein retweeted
The @axisrobotics production pipeline is a masterclass in data efficiency. They've broken the loop into 4 concrete stages: » World Generation (LLM driven task creation) » Behavior Collection (Browser teleop + human gated corrections) » Data Refinement (IsaacSim augmentation & replay verification) » Model Training & Deployment Post training corrections loop right back to Stage 1 to reopen tasks. The loop is designed to be adaptive, not static. The appeal is watching a system that learns how to learn, getting better at identifying its own blind spots over time, it's a living system. s.kaito.ai/yoWsoQe If you were designing the next stage of this pipeline, what would you add to make the loop even tighter?
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PHANTOMS GIVEAWAY 👻 🎁 I’ll be giving away 15 GTD spots and 20 FCFS for @phantomsxyz 7,777 Supply on @RobinhoodCrypto How to enter: ✅ Follow @phantomsxyz ✅ Follow @cokebwwwoy ❤️ Like & RT this post 💬 Drop your EVM address below when you’re done ⏳ You’ve got 24 HOURS, don’t sleep on this one! Good luck, everyone 🫡
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Crypto has made swapping tokens easier, but choosing the right platform still matters. KindSwap is a platform built around the idea of making crypto swaps part of something bigger. Its tagline says it clearly: Trade. Give. Change the World. What makes the concept interesting is its connection between DeFi and real-world impact. Instead of focusing only on token trading, KindSwap aims to connect its ecosystem with a broader charitable mission. For anyone exploring Solana and looking for new projects to understand, KindSwap is worth checking out. Let me walk you through 👇 Explore here: kindswap.world/swap?promo=ZE…⁠
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Ho3ein retweeted
Crypto has 15+ countries. Your money lives in one of them. The token you want lives in another. The old fix: bridge, swap, buy gas, pray. @justhootfun Intents' fix: connect the wallet you already have, and buy. No NEAR account. No gas to connect. One signature. I tested it with MetaMask. Here's how it works... 🧵
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The elevator is finally fixed! I took the elevator to the first floor to draw a picture of a pickle. @FomiesNFT won’t give me the actual pickle, so I might as well have a picture of it! :))
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How true is this about Germans? 😂 or maybe it’s a joke ??
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most people look at a meme coin and see a ticker, a chart and a community trying to get attention. i’m more interested in what happens behind the ticker. how does a token get launched? where does it trade? how do people discover it? and how can the experience become easier to navigate? that’s why i’m exploring what justhoot is building on near. 🧵🦉 @justhootfun
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a $9m seed round is impressive but i pay more attention to what existed before the announcement the interesting part is that @vangrid_io already had a live network before raising the money physical ai doesn't just need better models it needs spatial data captured from real environments and collecting that data at scale is a much harder problem than it sounds funding can accelerate theprocess, but the real test is whether developers actually find the network useful
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bro went through all those spins and ended up with $43.9K the way he was reacting had me watching till the end @1win
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Ho3ein retweeted
the real breakthrough in robotics may come from teaching machines what to do when things go wrong. a robot can learn to pick up an object in a simulation but change the position, angle or surrounding conditions and that same action might fail. the challenge is not collecting endless demonstrations. it is identifying the missing skill and teaching the robot how to recover. that is where @axisrobotics takes an interesting approach. its axis hub lets contributors interact with simulated robots, correct failed attempts and help generate training data. submissions are verified before entering the training pipeline, so the goal is to learn from useful corrections rather than blindly copy every human action. axis has reported a real robot success rate improvement from roughly 22% to 52% in its self improving sim2real experiments. that is a meaningful signal of what targeted data can achieve. the long term opportunity is exciting, robots that learn from failure, reuse skills across tasks and become more capable with every training cycle. physical ai needs more than powerful models. it needs a system that keeps teaching them what they are still missing. that is the kind of infrastructure axis is building. explore now - s.kaito.ai/vkwLTRL
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The @0xhazels stands out by connecting NFT ownership to a broader ecosystem. * The Attention Layer, Drops, and @Azura_SI give holders more to explore beyond the mint. * The real test is how this ecosystem delivers lasting value to its community. Be there.
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The @voicecc Genesis Mint went live yesterday, and it was a fun one. About half of the supply is already gone, and this NFT comes with some seriously stacked perks. Congratulations to everyone who minted! 🎉 If you haven't minted yet, go check it out. And if you can't mint, don't beat yourself up. Your VOICE is still loud ASF Now, here are the perks you get from minting one. 👇
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the overlap between TJR's trading audience and Moon could be interesting to watch 👀 1000x leverage is already enough to get people talking
Officially taking off with 1000x leverage on Moon!
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GM Quip Legends I think @quipnetwork becomes much easier to understand when we stop starting with quantum technology and start with the problems it is trying to solve Take QVRF first, applications such as blockchain games can need randomness where the outcome needs to be unpredictable while still being verifiable, @quipnetwork Network approaches this through quantum-generated randomness Then there is QuipSwap, which focuses on cross-chain asset exchange and another common problem in Web3 interacting with assets across different networks without unnecessary complexity So the bigger picture looks like this: — QVRF for verifiable randomness — QuipSwap for cross-chain activity — Quantum infrastructure connecting new possibilities This is how i currently see @quipnetwork : not simply as a project talking about quantum computing, but as an attempt to turn advanced technology into infrastructure developers can actually build around
In case you missed it at Quantum & Privacy Day, here’s the full panel with @cadillion on bringing PQC to production👇
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The market doesn't care that it's the weekend. That's why $TSLA is on my radar. Tesla has been one of those stocks where headlines can completely change the setup. Deliveries, Al/robotaxi developments, China news, earnings expectations - the catalyst can come before the traditional market opens. My approach is simple: Catalyst → price reaction → confirmation → execution. I'm not buying $TSLA just because the news looks bullish. I want to see price reclaim key levels, volume confirm the move, and buyers actually defend the breakout. If that happens, I'd consider a long setup. If the reaction fails, I stay out. This is where I think tokenized stocks get interesting. With eligible Bitget rTokens, the stock can be traded 24/7, including weekends and holidays. So if a major catalyst hits Saturday, I'm not automatically waiting until Monday for the market to reopen. So if a major catalyst hits Saturday, I'm not automatically waiting until Monday for the market to reopen. And I can keep stocks, CFDs and crypto within the same trading ecosystem. That's a different way of thinking about stock trading. I'm watching the setup first. The platform comes second. But if I'm going to trade a stock around a catalyst, I'd rather have the flexibility to act when the market moves. If you already hold U.S. stocks at a traditional broker, you can explore transferring eligible assets to Bitget here: Campaign link: bitget.com/launchhub/stocks-… Not financial advice. Trade setups can fail and rToken availability/terms vary by asset.
I looked at both stock transfer offers before deciding which one actually made more sense. For me, Bitget has the stronger proposition right now. The first thing that stood out was the reward. If you're transferring $100K+ in stock assets, Bitget offers $2,150 in $rSPCX rewards that's $1,550 more than Binance's offer. But the reward amount isn't the only thing I'm looking at. Timing matters too. On #Bitget, your reward becomes available once your stocks arrive, which is expected to take around 10 business days. With Binance, there's a longer wait before the stocks arrive and restrictions around when the rewards can actually be used Then there's the flexibility after the transfer. Bitget lets traders use up to 80% of the stock value once the assets arrive, while Binance requires additional conditions, including a longer holding period and conversion to bStocks. So when I compare the two, I'm looking at more than the headline reward: More rewards → faster access → fewer restrictions. That's why Bitget makes more sense to me for this transfer event. If you already hold U.S. stocks with a traditional broker, this is worth checking before the offer ends. bitget.com/launchhub/stocks-…
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SCOOBY HAD NO IDEA HOW THIS SLOT WORKED… THEN HIT A MEGA WIN 😭💰 “Tell me you're multiplying this by this…” Bro was trying to understand the numbers right before the game went CRAZY 💀🎰 Cc. @Scoobyz88 x @Stake
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