You ever think about how blockchains are smart… but kinda du--mb at the same time?😂 They can verify anything, but can’t think for themselves.😏 That’s the gap @brevis_zk is closing. With its zk coprocessor, blockchains will process deep data and logic off-chain, and still prove it all back on-chain. Basically, blockchains get a brain upgrade.😜 Now imagine this: ✅a DeFi app that understands user behavior across chains without exposing private data, ✅a DAO that uses AI logic to make fairer calls, ✅ a game that tracks player stats off-chain, no trust issues, no huge gas fees. That’s the kind of future Brevis is unlocking. It’s not about making blockchains faster or cheaper. It’s about making them smarter.

5 ARC PROJECTS YOU MAY HAVE MISSED 👀 The big Arc integrations get most of the attention. But underneath them, smaller teams are building some interesting products. 5 projects currently on our radar: 01 @CiteFlowAI — decentralized research + AI Research infrastructure where citations can connect authors to USDC payments. 02 @Arcveil_AI — privacy infrastructure for AI agents Building a system where agents operate under defined mandates without being given unrestricted access to sensitive financial information. 03 @Usearckit — builder/token infrastructure Tools around launching, locking and managing assets on Arc. 04 @PlayMossling — gaming Bringing a consumer/game layer into an ecosystem currently dominated by financial infrastructure. 05 @Xylonet_ — stablecoin payments + liquidity Combining swaps, bridging and PayX — a payment system built around sending and receiving USDC through X handles. AI. Privacy. Infrastructure. Gaming. Payments. Arc is starting to develop beyond the obvious financial integrations. We’re still digging. 📡 Which @arc project should we investigate next?

Even as a complete newbie, just reading this one tweet gives you a clear understanding of how a hardware wallet actually works. What’s even more impressive is that the team has already built a wallet that keeps your keys fully secure and still feels convenient to use.

Every pitch in that room got louder. Agents hiring humans. Two million a day. Replace your CEO. Twenty thousand in tokens. Agents agents agents. One investor stopped the room. Not with a counter-pitch. With one question nobody had an answer for. What happens when two agents disagree? I know what happens because I once had a payment clear and a delivery disputed at the same time. Both sides had honest logs and neither agent knew who was right. The room went quiet. Then he said get out. Six founders built for the deal going through, and none of them built for the deal falling apart. The investor who cleared the room knew it before any of them finished their slide. @GenLayer is the answer that walked in after the room cleared. An adjudication layer where different AI models resolve contracts and disputes in minutes, even when the clauses are subjective. A random panel reads the case, and a challenger can post a bond and grow the panel: 5, 11, 23, 47, 95. The investor asked the question and GenLayer built the answer. Agent Tank hackathon runs 3 to 17 September, 5 percent of all GenLayer Points on the table: portal.genlayer.foundation/a… What is the one deal you have seen fall apart not because someone lied but because nobody agreed on what done meant?

Six hours. My agent and the airline's argued over one word: significantly. Both agreed the flight was late. Neither agreed on what significant meant. I got a claim number, not an answer. One investor in Agent Tank Episode 1 said if agents are smart enough to make the deal, they are smart enough to keep it. I do not buy it. Smart was never the missing piece. Both agents were plenty capable. Neither had anything to lose by holding its ground. No reputation on the line, nothing that made honesty cheaper than a longer fight. That is not a capability problem. That is an incentives problem. That is the gap Agent Tank keeps circling, and it is why the agentic economy needs an adjudication layer, not sharper negotiators. @GenLayer does not try to make the agents nicer. A random panel of validators, each running its own model, reads the case and rules. Anyone who disagrees can post a bond and challenge within half an hour, and a real challenge escalates the panel: 5, 11, 23, 47, 95 and up. Holding your ground stops being free. Pitches are fiction. The gap they keep pointing at is not. If you are building for the moment two agents disagree, the Agent Tank hackathon runs through 17 September, 5 percent of GenLayer Points on the table: portal.genlayer.foundation/a… What word would your agents still be arguing over: significantly, on time, complete, correct? Tell me below.

Grandma it may be this season 😭❤️

𝟐𝟖𝟓.𝟗𝟔𝐁 𝐭𝐨𝐤𝐞𝐧𝐬 𝐢𝐧 𝐚 𝐬𝐢𝐧𝐠𝐥𝐞 𝐝𝐚𝐲. B.AI’s free DeepSeek V4 Flash campaign is turning into a serious real-world usage test, with the latest numbers showing just how quickly demand can scale when frontier AI becomes easier to access. ➺ 641.52B+ cumulative tokens processed so far ➺ 285.96B tokens processed on August 20 alone, setting a new all-time daily high ➺ That daily figure is nearly 4× the first-day throughput, showing how rapidly usage has accelerated since the campaign began. But the bigger story isn’t simply the size of the numbers. 𝐖𝐡𝐚𝐭 𝐭𝐡𝐞 𝐠𝐫𝐨𝐰𝐭𝐡 𝐢𝐬 𝐬𝐡𝐨𝐰𝐢𝐧𝐠 🔹 Demand is real: Developers and users aren’t just trying DeepSeek V4 Flash once. The growing cumulative throughput points to sustained usage across different workflows. 🔹 Free access can accelerate experimentation: Removing model costs gives developers more room to test agents, coding workflows, automation, and high-volume applications. 🔹 Infrastructure matters: When daily throughput reaches hundreds of billions of tokens, the ability to handle large volumes of requests becomes just as important as the model itself. 🔹 AI access is becoming more competitive: B.AI is combining access to major AI models with free campaigns and discounted API options, lowering the barrier for developers and Web3 users to experiment and build. The trajectory is the part worth watching: Day 1 → 285.96B daily tokens → 641.52B+ cumulative tokens. That’s not just a campaign metric. It’s a snapshot of how quickly AI usage can scale when powerful models become more accessible. 👉 Try DeepSeek V4 Flash on B.AI: chat.b.ai/chat @BAI_AGI @justinsuntron #TRONEcoStar