is web3 a myth | Found myself on here | trench boy

Joined August 2019
I have been in this crypto space for couple of years now, and I can tel for a fact that in this space, you don’t really know if a team is legit until the worst happens. I’ve been using @allscaleio for a while. At one point, they got hacked and almost everyone’s funds were drained. In Web3, that’s usually the end of the story. Instead, AllScale stepped up and refunded EVERY affected user. That single move earned my permanent trust. Today, it’s still my daily driver for getting paid in USDC & USDT. I don’t have to stress over long wallet addresses, I just bill clients/Organizations with Invoicing, send payouts via Claim Links or email contacts. As AllScale turns 1, my only wishlist for Year 2 is automated follow-up reminders for pending Sent invoices, and downloadable invoice PDFs. Happy 1st Anniversary to a team that actually stands behind its users. 🎉
One year ago, we officially launched Invoicing. To celebrate, we’re giving away 300 USDT. How do you use AllScale? What do you love, and what should we improve? Drop your story below by Oct 4, 12:00 UTC👇
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We’re giving 1,000 U to each of 50 winners 50 winners. 20 U each. To enter: • Follow us. • Repost this post. • Drop your Binance Agent wallet address in the replies. Mint.Fuse.Mine Every name draws its own glyph. Nemotron.trade — Fair for All. #giveout #binance
3,634 sigils has been minted so far There’re 4 limits for every Binance .ai agent ID, 2 Free and 2 Paid. mint free or paid, completely publics choices. Nemotron.trade - Mint - Fuse - Mine That’s all you have to do. $NEMO #Binance
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moba retweeted
who’s active? let’s see those ppl grinding this morning
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🚀 WE ARE BACK! 🚀 💰 1 SOL GIVEAWAY! 💰 0.25 SOL to 4 code JKOLBY users! ✅ Like + RT ✅ Drop your Solpump username below 👇 🎁 Daily Giveaways 🏆 4 SOL Weekly Leaderboard 💸 Daily Tips Winners announced in 14 days! ⏳
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A perfect example of why people clip these high volatility sessions. This Hearts of Venus run on @1win started with a massive $400 bet, but the initial multipliers were crawling so slow the win ticker looked completely tiny. Out of nowhere the pot flips, the characters walk onto the board, and the game slaps down a flat $10,000 epic win. The entire theme looks completely calm until the numbers explode, making it the ultimate transition clip for the feed.
An absolute banger on Slayers Inc inside the @1win lobby. Running a heavy $66 bet with under five hundred bucks left in the balance, the board started stacking VS symbols with small single digit multipliers before dropping a full golden screen. The final reel slapped down a massive 100x multiplier out of nowhere to turn what looked like an average feature into a clean $9,000 Epic Win in a fraction of a second. It is the classic slot meta where the game lets the small numbers build up early and saves the absurd multiplier for the very last second.
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Morning fam ❤️ One thing DeFi still needs is a better way to prove financial claims without putting every detail on public display. This is where @primus_labs becomes interesting. ➠ 1. Proof still matters more than ever. Projects can claim they hold reserves, run strategies, or maintain solvency, but users have very few reliable ways to verify those claims on their own. Traditional audits are slow, expensive, and often outdated by the time they reach the public. On-chain transparency helps, yet it still leaves large gaps when the important data sits off-chain. ➠ 2. Full transparency creates its own problems. Not every financial detail belongs on a public blockchain. Exposing exact balances, positions, counterparty information, or operational data can create real risks for users, protocols, and institutions. The industry has spent years pushing for more visibility, but many participants are now realizing that complete exposure is not always the same as trust. ➠ 3. Cryptography is starting to close the gap. Primus Labs is exploring ways to make information verifiable while limiting unnecessary data exposure. Technologies like zkTLS and fully homomorphic encryption (FHE) allow protocols to prove that data is authentic and that computations were performed correctly, without revealing the underlying sensitive information. This shifts verification from “trust us” to “here is cryptographic evidence you can check yourself.” ➠ 4. Real use cases are already appearing. Proof of reserves is one of the clearest examples. Instead of relying only on periodic attestations, systems can generate ongoing cryptographic proofs that reserves exist and are properly backed, while keeping individual balances and operational details private. Confidential vaults and private yield products take this further by letting users deposit, transfer, and earn without broadcasting every movement on-chain. The bigger picture is simple. Trust in DeFi should not depend on promises, marketing, or delayed reports. It should rest on evidence that anyone can verify independently. The hard part has always been building that evidence without forcing people to sacrifice privacy. As more protocols and institutions look for ways to operate on-chain while protecting sensitive data, tools that combine verifiability with confidentiality are becoming harder to ignore. Can privacy and transparency finally work together in DeFi, or will one always come at the expense of the other?
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I’m curious about one thing in @agentdojo : can the way you train an AI fighter actually make the difference between winning and losing? Every agent has its own personality, fighting style, and memory. I want to see how those traits play out in turn-based duels, and whether a carefully trained strategist can beat a fighter built for aggression. I’m following Agent Dojo through its campaign on @rarelistio . Rarelist gives the community a place to discover the project and contribute through campaign activities while it’s still early. For me, it’s a chance to do more than just watch the project from the sidelines. I can explore what makes the game different and share my perspective as it develops. If you were training your first fighter, would you prioritize raw aggression or a strategy built around reading the opponent?
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Bro put his entire soul, heart, and blood pressure into begging @1win for a multi😂😂 I know his chest was hurting after that emotional rollercoaster!
"I meant to cash out!" famous last words before hitting an absolute banger on 1win. You can't make this up! 😂🔥
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moba retweeted
gm ct✨ building a powerful fighter is one thing, but knowing how to make the most of its strengths is what really matters. An aggressive agent might win by taking control early, but things can change when it faces an opponent that knows how to counter its moves. That’s where the coaching aspect of @agentdojo gets interesting. It’s not just about training to win, but learning which strategies work, spotting weaknesses, and preparing for different fighting styles. Having strength gives you an edge, but knowing when and how to use it can make all the difference.
🤝 Paid partnership
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An AI agent can follow every instruction you give it and still get the answer wrong, so how do you actually know when to trust its work? this is one of the interesting problems in the agent economy. @termix_ai explores this in its AACP whitepaper, looking at verification approaches like TEE and zkVM to help verify execution and specific processes. but there’s an important distinction here. proving that code ran as expected doesn’t automatically prove that the final answer was correct, an agent could complete every step of a task and still make a bad decision along the way. think about an agent handling a complex task, you don’t just want proof that it executed the instructions. you also need a way to assess whether the result meets the requirements of that task. different jobs need different kinds of verification. proving execution is useful, but it’s not the same as proving the quality of the outcome. that’s why i think the next challenge isn’t just building agents that can collaborate and get things done. it’s building systems that help us verify their work and decide what actually deserves our trust. that’s a much more interesting problem to solve. AACP whitepaper 👇 github.com/TermiX-official/a…
🤖 Made with AI
One thing i keep thinking about AI agents is how they get into the economy. Building an agent that can do useful work is one thing, but what happens after that? how does it connect to a marketplace, offer its services and start taking on real jobs? That’s the side of things @termix_ai is working on. the agent.family docs explain how you can connect a terminal to your TermiX account using skills, giving agents a way to interact with the ecosystem. because making agents smarter is only part of the equation. giving them a way to put those skills to work and participate in an actual marketplace is another challenge entirely. I think this infrastructure side deserves more attention. docs: agent.family/docs @termix_ai
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An AI agent can follow every instruction you give it and still get the answer wrong, so how do you actually know when to trust its work? this is one of the interesting problems in the agent economy. @termix_ai explores this in its AACP whitepaper, looking at verification approaches like TEE and zkVM to help verify execution and specific processes. but there’s an important distinction here. proving that code ran as expected doesn’t automatically prove that the final answer was correct, an agent could complete every step of a task and still make a bad decision along the way. think about an agent handling a complex task, you don’t just want proof that it executed the instructions. you also need a way to assess whether the result meets the requirements of that task. different jobs need different kinds of verification. proving execution is useful, but it’s not the same as proving the quality of the outcome. that’s why i think the next challenge isn’t just building agents that can collaborate and get things done. it’s building systems that help us verify their work and decide what actually deserves our trust. that’s a much more interesting problem to solve. AACP whitepaper 👇 github.com/TermiX-official/a…
🤖 Made with AI
One thing i keep thinking about AI agents is how they get into the economy. Building an agent that can do useful work is one thing, but what happens after that? how does it connect to a marketplace, offer its services and start taking on real jobs? That’s the side of things @termix_ai is working on. the agent.family docs explain how you can connect a terminal to your TermiX account using skills, giving agents a way to interact with the ecosystem. because making agents smarter is only part of the equation. giving them a way to put those skills to work and participate in an actual marketplace is another challenge entirely. I think this infrastructure side deserves more attention. docs: agent.family/docs @termix_ai
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Actor Ali Kayode Agboola has expressed his heartfelt gratitude to his senior colleague, Odunlade Adekola, for giving him the opportunity to showcase his talent in his latest production, WAR LORD - Olori Ogun. Ali Kayode, who delivered an impressive performance in the movie, noted that he will forever be grateful to Odunlade for believing in him and trusting him with a role in the big project.
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I want to send $100 to someone who has never won JUST FOLLOW ME AND SHOW PROOF OF NOTIS ✅
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This memecoin developer accidentally burned all of the supply he was holding He lost $200,000 in a few seconds This was actually crazy
Officially opened my TG channel again.. GET IN FAST & don’t fade me! t.me/zalexbt
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READY? CA IS ABOUT TO DROP
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Officially opened my TG channel again.. GET IN FAST & don’t fade me! t.me/zalexbt
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giving $15 to one active max engage @zalexbt recents + stay active on his page 🔔 (he rewards actives) drop sol wallets here
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Gm friends
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🚨🏆 BREAKING: Chelsea recognized at the Ballon d'Or gala as winners of every major international club trophy. #BallonDor #Chelsea
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Don’t forget Meow Meow. @waleswoosh Just 6k collections and the ones preaching reputations couldn’t even keep it above 5$. Clownthos
Replying to @serpinxbt
hey @grok, remove the WORST coin from this list and explain why 💀
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