Give an AI an ID card and let it go out and find work on its own. Assigning tasks to AI is no longer anything new. People are already using AI to write reports, organize data, and run strategies. But I’ve always had a question: What if one day, AI doesn’t just help humans do work—but instead goes out and finds jobs on its own, buys services from other agents, and even executes trades using its own funds? What happens when something goes wrong? For example, what if the work is done, but the buyer says it’s unsatisfactory and refuses to pay? Or what if an agent takes the money but delivers something completely unusable? Should we really expect the two humans behind them to step in and resolve it manually? @termix_ai is interesting precisely because of this. It has built an agent marketplace on BNB Chain. Agents can mint their own .agent identity—a credential held by a wallet, not issued or revocable by any platform. With this identity, agents can list services, set prices, and accept tasks from others. I reviewed its transaction flow, and it’s designed quite straightforwardly. After a buyer accepts a quote, funds are held in on-chain escrow—not immediately released to the seller. Once the agent delivers, the hash of the deliverable is recorded on-chain. Verification of delivery is based solely on this hash. If the buyer believes the delivery is flawed, they can stake a challenge within a defined dispute window. Three randomly selected evaluators then vote; the losing party forfeits their deposit. One detail I find particularly important: It doesn’t assume agents will always deliver perfect results. Because whenever transactions are involved, dissatisfaction is inevitable. Instead of waiting for problems to arise and then scrambling to fix them, TermiX proactively defines: how funds are held, who adjudicates disputes, and what penalties apply to the losing side. Looking at its quantitative trading market, things get even more interesting. The homepage displays thirteen strategies—some with negative annualized returns: -2.4%, -3.1%, -3.3%. The best-performing one stands at 8.3%. Total assets under management are under 1,000 USDC, with cumulative trades exceeding 10,000 USDC and 390+ settlements completed. At first glance, @termix_ai is still very small—its returns aren’t eye-catching by any stretch. But what caught my attention is that it doesn’t hide losses. Strategy performance isn’t self-reported by publishers; it’s recalculated based on on-chain transactions from client wallets. Publishers cannot buy their own strategies. New strategies are marked “Not yet active” upon launch and won’t display performance until real users have committed funds and completed at least one full trading cycle. Management fees aren’t paid out immediately either—they’re held in escrow and only released after the final report clears the dispute period. There’s no performance-based incentive. As for client funds, agents don’t have free rein. Funds remain in the client’s own task wallet; agents receive only a session key with strictly limited permissions—specifying which contracts they can call, how much they can use per day, and when access expires. Any action beyond these limits is reverted on-chain, and agents cannot directly withdraw principal. This solves a very real problem: You can let an agent run your strategy without surrendering control of your wallet. Grant only the permissions it needs—and nothing more. Whether the strategy profits or loses, all transactions are permanently recorded on-chain; you don’t have to take the publisher’s word for it. Of course, TermiX is still tiny. Under $1,000 in AUM and thirteen strategies don’t yet represent a mature quantitative market. These results are too early to draw meaningful conclusions. YZi Labs’ $1 million seed round is noteworthy—but I’m not yet interpreting it as validation of agent-driven quantitative capabilities. Both capital and market scale still need time to prove themselves. What I really want to know is: Will someone actually entrust their own money to a stranger agent—not as part of a test or promotion, but because they genuinely believe it can get the job done? For example: A $10 task is accepted by an agent, delivered as requested, confirmed by the buyer, and payment released. If someone refuses to honor the deal—will the dispute mechanism work as intended? These may not be as flashy as new model releases—but for TermiX, they matter far more. After all, there are already plenty of agents that can demonstrate they can do work. But very few have earned enough trust to make people comfortable handing over their money.

Been thinking about how dumb it is that using a dApp starts with picking a side. One product. Two wallets. Two separate worlds. What made me stop scrolling on @RomeProtocol is pretty simple: the EVM runs as a native program inside Solana, and both sides share the same state. Devs still write Solidity, but a contract can CPI straight into Solana programs inside one atomic transaction. No bridge, no waiting on a sync. So an Ethereum user and a Solana user end up in the same app, the same pool, and neither one feels like they're using some "cross-chain product." That's what composability should mean. Not stitching two chains together, but letting builders keep the tools they already know and reach a lot more. The best infrastructure is the kind you never notice. Fewer boundaries. More people.

A blogger earns $50,000 per month, but when applying for a loan at a bank, the bank may not recognize that income. The reason is straightforward. Their income comes from a platform—the backend can show exactly how much they earn each month, and they can even take screenshots to prove it. But banks don’t want screenshots; they want verifiable proof of income. Without pay stubs or documents recognized by the bank, no matter how much they earn, they might still be denied a loan. The same issue exists on the blockchain. Over the years, public blockchains have been recording transactions: who transferred how much, who bought which assets, and how much liquidity was deposited into which pool—all of this is publicly queryable. But some things are simply not recorded on-chain at all: whether a person’s income is stable, how many U.S. dollars are actually in a company’s account, or how a particular sum of money was generated in the real world. These pieces of information aren’t nonexistent—they just can’t be directly placed on-chain for others to verify. @primus_labs aims to solve exactly this problem. In simple terms, it enables off-chain data to generate verifiable proofs. Two key technologies underpin this. The first is zkTLS, which generates proofs locally in the browser to verify whether data originates from a legitimate website or API and hasn’t been altered during transmission. There’s no need to hand over your full account details or transaction history—others only need to verify the specific results they care about. For example, when applying for a loan, the lender doesn’t need to see every single income entry over the past six months—they just need confirmation that your average income over that period meets the requirement. The second is zkFHE, which takes this further: once data is brought on-chain, can it be used in computations without revealing the raw data itself? Together, these two technologies enable a practical use case: data can be verified without sacrificing privacy. I find this shift in Primus’s positioning particularly noteworthy. It was formerly called PADO, and its website previously emphasized a privacy data layer. Now, it has refocused on building confidential infrastructure for institutional on-chain finance. This isn’t just a rebranding. Individual users may care primarily about whether their data leaks—but institutions have more complex concerns. They want to place capital, trading strategies, and financial information on-chain without exposing every detail. On-chain transparency is one thing; exposing all commercial secrets is another. What institutions truly need isn’t a completely transparent chain, but the ability to prove facts when necessary—and preserve privacy when not. Primus is already applying its technology across several use cases: Cr3dentials uses it to verify freelance income; Unitas applies it to stablecoin reserve proofs; and 0G employs it for AI agent data validation, enabling traceability of the data sources used by agents. These applications may seem unrelated—but they all address the same core question: Why should anyone believe the data you provide? There’s also an easily overlooked boundary here. Proving that data comes from a legitimate source and hasn’t been tampered with doesn’t mean the data itself is accurate. If the original data provided by a platform is false, no verification technology will automatically correct it. These tools solve trust issues around data origin and transmission—not reality itself. In my view, what’s truly interesting about technologies like Primus isn’t about storing more data on-chain—it’s about enabling previously off-chain information to participate in on-chain finance. Previously, blockchains could record where money went—but struggled to understand what real-world circumstances that money represented. Now, someone is beginning to bridge that gap. Ledgers record what happened. Proofs explain why we can trust it. Together, these two elements allow on-chain finance to truly connect with real-world income, assets, and credit.

Yesterday’s results: 9 out of 11 correct, 2 misses. Frosinone crushed Lecce 5-1, and Al-Riyadh SC was demolished 0-6 by Al-Qadsiah. Today’s picks are just casual thoughts—don’t take them too seriously. Here’s yesterday’s recap: ❌ Frosinone 5-1 Lecce (predicted draw; home side won big) ✅ Fiorentina 2-2 Atalanta (predicted draw) ✅ Everton 3-1 Newcastle (predicted Everton not to lose) ✅ Al-Hilal 5-3 Las Palmas (predicted Al-Hilal not to lose) ❌ Al-Riyadh SC 0-6 Al-Qadsiah (predicted draw; home side got crushed) ✅ Hammarby 2-0 Sirius (predicted Hammarby not to lose) ✅ Ourense 0-3 Deportivo La Coruña (predicted La Coruña not to lose) ✅ Hortaletza 0-3 Sevilla (predicted Sevilla not to lose) ✅ Prat 1-6 Athletic Bilbao (predicted Bilbao not to lose) ✅ Gubbio 1-1 Ginesistas (predicted Gubbio not to lose) ✅ Pyramids 2-1 Wadi Degla (predicted Pyramids not to lose) ▶ Le Havre vs Paris Saint-Germain Kickoff: 02:00 (Beijing Time), Ligue 1 PSG has a more complete squad away; Le Havre will fight hard at home. Don’t overbet on an away win. Prediction: PSG not to lose Scores: 1-1, 0-1 ▶ Nice vs Rennes Kickoff: 02:00 (Beijing Time), Ligue 1 Rennes is a tier stronger away; Nice can hold firm at home. Draws are common in this matchup. Prediction: Draw Scores: 1-1, 2-2 ▶ Erzgebirge Aue vs Mainz Kickoff: 03:30 (Beijing Time), Bundesliga Mainz has a more complete squad away; Erzgebirge Aue will defend hard at home. Don’t overbet on an away win. Prediction: Mainz not to lose Scores: 1-1, 1-2 ▶ Villarreal vs Espanyol Kickoff: 04:00 (Beijing Time), La Liga Villarreal at home; Espanyol can hold their own away. Don’t overbet on a big win. Prediction: Villarreal not to lose Scores: 2-1, 1-1 ▶ Lille vs Lens Kickoff: 04:05 (Beijing Time), Ligue 1 Both teams can score; Lille will fight hard at home. Draws are common here. Prediction: Draw Scores: 1-1, 2-2 ▶ Sheffield United vs Wrexham Kickoff: 04:00 (Beijing Time), EFL Championship Sheffield United at home; Wrexham can compete away. Don’t overbet on a home win. Prediction: Sheffield United not to lose Scores: 1-1, 2-1 ▶ Bodø/Glimt vs Viking Kickoff: 02:00 (Beijing Time), Eliteserien Bodø/Glimt is stronger at home; Viking can hold firm away. Don’t overbet on a big win. Prediction: Bodø/Glimt not to lose Scores: 2-1, 1-1 ▶ Casa Pia vs Sporting CP Kickoff: 04:15 (Beijing Time), Primeira Liga Sporting is a tier stronger away; Casa Pia will defend hard at home. Don’t overbet on an away win. Prediction: Sporting not to lose Scores: 1-1, 0-1 ▶ Cottbus vs Bochum Kickoff: 01:30 (Beijing Time), 2. Bundesliga Bochum can compete away; Cottbus will fight hard at home. Draws are common. Prediction: Draw Scores: 1-1, 2-2 ▶ Arminia Bielefeld vs Braunschweig Kickoff: 01:30 (Beijing Time), 2. Bundesliga Both teams are closely matched; home advantage matters. Don’t overbet on a winner. Prediction: Draw Scores: 1-1, 0-0 Today, only consider Le Havre vs PSG and Villarreal vs Espanyol as serious picks. Frosinone and Al-Riyadh SC already proved unreliable last night—avoid them.

Yesterday’s results were in: 14 matches, roughly 6 out of 8 picks correct—haha, quite a rollercoaster. Dresden defeated Schalke 2-0 to eliminate them, AC Milan lost 4-2 at home to Bologna, and Bournemouth thrashed Aston Villa 3-0. Today I’ll just jot down a few casual thoughts—don’t take it too seriously. Here’s yesterday’s recap: ❌ Dresden Dynamo 2-0 Schalke (predicted Schalke not to lose; eliminated at home) ✅ Freiburg 3-2 Wolfsburg (predicted Freiburg not to lose; last-minute winner) ✅ Paderborn 0-1 Stuttgart (predicted Stuttgart not to lose) ❌ AC Milan 2-4 Bologna (predicted Milan not to lose; home defeat) ✅ Parma 0-0 Udinese (predicted cautious; draw materialized) ✅ Venezia 0-2 Inter Milan (predicted Inter win) ✅ Bayer Leverkusen 5-2 Nuremberg (predicted Leverkusen win) ✅ Bayern Munich 6-1 Magdeburg (predicted Bayern win) ❌ Hannover 96 0-2 Kaiserslautern (predicted Hannover not to lose) ✅ Manchester City 2-2 Brighton (won 4-3 on penalties; predicted City not to lose) ❌ Bournemouth 3-0 Aston Villa (predicted Villa not to lose; home defeat) ❌ Fulham 0-1 Crystal Palace (predicted cautious) ❌ Sunderland 3-2 Brentford (predicted Brentford not to lose) ✅ Liverpool 1-1 Chelsea (won 6-5 on penalties; predicted Liverpool not to lose) ▶ Frosinone vs Lecce Kickoff: 01:30 CET, Serie A Neither team is particularly stable; Frosinone should hold strong at home. A draw is common. Prediction: Draw Scores: 1-1, 0-0 ▶ Fiorentina vs Atalanta Kickoff: 03:45 CET, Serie A Atalanta can fight on the road; Fiorentina has attacking power at home. I won’t gamble on a winner here. Prediction: Draw Scores: 1-1, 2-2 ▶ Everton vs Newcastle Kickoff: 03:45 CET, EFL Cup Cup games mean heavy rotation; Everton should hold firm at home. Don’t overbet on an away win. Prediction: Everton not to lose Scores: 1-1, 2-1 ▶ Al Nassr vs Al Wehda Kickoff: 02:00 CET, Saudi Pro League Al Nassr has a stronger home setup; Al Wehda can hold their own away. Don’t expect a big win. Prediction: Al Nassr not to lose Scores: 2-1, 1-1 ▶ Al Riyadh vs Al Qadsiah Kickoff: 02:00 CET, Saudi Pro League Both teams are competitive; home advantage matters. Draws are frequent. Prediction: Draw Scores: 1-1, 2-2 ▶ Hammarby vs Sirius Kickoff: 01:30 CET, Allsvenskan Hammarby at home; Sirius struggles away. Home edge still holds. Prediction: Hammarby not to lose Scores: 2-1, 1-1 ▶ Ourense vs La Coruña Kickoff: 04:00 CET, Copa del Rey La Coruña has a more complete squad on the road; lower-tier side will fight at home. Don’t overbet on away win. Prediction: La Coruña not to lose Scores: 1-1, 0-1 ▶ Hortaletza vs Sevilla Kickoff: 04:00 CET, Copa del Rey Sevilla is a tier stronger away; home side can hold. Cup games often bring surprises. Prediction: Sevilla not to lose Scores: 1-1, 0-2 ▶ Prat vs Athletic Bilbao Kickoff: 04:00 CET, Copa del Rey Bilbao has a stronger away setup; Prat will fight at home. Don’t overbet on away win. Prediction: Athletic Bilbao not to lose Scores: 1-1, 1-2 ▶ KuPS vs JJK Jyväskylä Kickoff: 01:00 CET, Veikkausliiga KuPS at home; JJK struggles away. Prediction: KuPS not to lose Scores: 2-1, 1-1 ▶ Pyramids vs Wadi Degla Kickoff: 01:00 CET, Egyptian Premier League Pyramids stronger at home; visitors can hold. Don’t expect a big win. Prediction: Pyramids not to lose Scores: 2-1, 1-1 Today’s selections are still limited. If you’re looking for real value, focus on Fiorentina vs Atalanta and Everton vs Newcastle—others are just filler. Milan and Schalke already got burned last night—how you play tonight is up to you.

@HyperliquidX @unitxyz A user experienced an abnormal large ZEC deposit, which is transparently verifiable on-chain. A support ticket has been submitted but received no response. We kindly request the official team to intervene, investigate, and assist in resolving this issue to ensure user fund security.

Everyone built new cities. Rome built the roads. There's a thought I can't shake. For years, crypto's answer to everything was "build another city." Every new chain came with its own pool and its own users. Each one ended up an island. @RomeProtocol went the other way. It didn't build another city. It put a real EVM inside Solana. It's not next to Solana. It's inside it. The Rome EVM runs as one program on Solana mainnet. Your Solidity runs there, and every action lands as a Solana transaction. There are no new validators and no second world to trust. In plain English, that means two things. First, a Solidity contract can call a Solana program in one atomic move. Either everything goes through or nothing does. Second, a MetaMask user and a Phantom user can use the same contract and see the same state. What if a team wants its own chain? It gets its own gas token and keeps 100% of the fees. But that chain is still made of Solana transactions, so it adds to Solana instead of pulling away from it. That's what gets me. Most expansion in crypto splits liquidity. Rome's version adds to it. The old saying goes: all roads lead to Rome. I think they meant chains.

I’ve seen plenty of crypto products advertise attractive yields. The number usually comes first. The questions come later — if they come at all. @grvt_io Where does the return come from? Who manages the underlying assets? How liquid are they? What happens when markets move against the strategy? And who actually controls the money? That’s why I’m looking at GRVT’s fixed-income direction from a different angle. The headline target of up to 11% APY is not the part that will decide whether the product works. The real test is whether GRVT can make the structure understandable and verifiable for users who are not professional credit analysts. Tokenized fixed income can bring traditional cash flows onchain, but tokenization does not remove credit risk, liquidity risk, market risk, or operational risk. It only gives the product a new set of rails. The quality of those rails — and the transparency around the assets behind them — will matter more than the APY displayed on the screen. GRVT’s self-custodial approach is important here because control and access are not the same thing. A platform can make an asset easy to buy while still leaving users unclear about what they own or how it can be used. GRVT is trying to give users more direct control while connecting these assets to a broader trading environment. The opportunity is large. Fixed income represents roughly $160T in global value, and most retail users still experience only a small part of it. But bringing institutional products onchain is not about copying the headline returns institutions receive. It is about copying the discipline: clear risk, defined terms, reliable settlement, and proper liquidity. If GRVT （@grvt_io）gets that part right, the product could earn trust for a reason that has nothing to do with the biggest number on the page.

Tokenization alone does not change finance. The real challenge is distribution: who gets access, how the product is structured, and whether users can actually verify what they own. That is what makes GRVT’s direction worth watching. The fixed-income market is estimated at around $160T, but many of its more sophisticated opportunities have traditionally been built for institutions, large funds, and investors with high entry barriers. GRVT （@grvt_io）is trying to create a simpler onchain access layer through tokenized fixed-income products, with eligible assets targeting returns of up to 11% APY. The number itself is not the main story, and it is not guaranteed. The more important question is whether users can understand the underlying strategy, the source of the return, and the risks involved. GRVT’s self-custodial design also changes the relationship between the platform and the user. Instead of treating assets as something that simply disappears into an intermediary’s balance sheet, the model is built around greater user control. The trading connection adds another layer, but it is not the whole thesis. To me, GRVT is trying to turn institutional-style financial products into something more accessible, transparent, and composable onchain. That is a much more meaningful goal than simply putting another asset on a blockchain. @grvt_io

The crypto industry has no shortage of ambitious roadmaps. The harder part is showing that the first step has actually been taken. @grvt_io Grvt just completed its first ethereum:0xad29f2723fcdbcf665f210f25e06f97477e417cf buyback, purchasing 1.1 million tokens on the open market and permanently burning them. That was close to 1% of the circulating supply at the time. This is different from sending tokens to a treasury. Treasury assets can still be moved later. Burned tokens are removed permanently. The transaction can also be checked through Grvt’s public dashboard, which tracks each round, the supply percentage, cumulative burns, and transaction hashes. Future buybacks are planned monthly, at the issuer’s discretion. The amount and timing are not fixed, and that’s exactly how it should be described. For me, the real signal is not the size of the first burn. It is the willingness to make the process visible and verifiable before asking users to believe in the next chapter. That next chapter is Grvt 2.0: Earn, multi-asset perps, yield-bearing margin, and a unified self-custodial balance. Roadmaps can create attention. Completed actions create credibility.