𝓰𝓲𝓰𝓸𝓵𝓸

No one is more stressed right now than the guy who has been in Crypto since 2021 and is still not rich.

So, to recap, the sentiment on the TL is: - DeFi is dead: don't bother with it, don't deposit anywhere, 'just use aave' is dead, off-ramp and at best park with ibkr or coinbase - The age of crypto is over: we're no longer early, it's the instutitionals era, coins have infinite price-insensitive sellers, and retail isn't coming to buy your bags - Onchain is dead, especially on solana, because of pvp tards that rush to outdump each other on 30k market caps. The only true runners are flukes on ethereum that are old and have no gen z to control its supply and is reliant on elon tweets. - The handful of projects that were considered investment-worthy are either not (aave, for example) or are already adequately priced (hype, zec). there are a few silent runners like $morpho but not many and low volume. - GameFi is dead. SocialFi is dead. L2s are barren. Financial activity only exists to farm points. Did I miss anything? Is anyone excited about anything? Something? If you're reading this - why are you still in crypto?

Day 6 with @degenphone Before anyone was calling it TeleFi, there was the TON drop. It moved fast, minutes, maybe less. Some flipped fifteen times over before the reveal even landed. But it wasn’t luck. It was the first glimpse of what ownership could feel like when it finally left the hands of corporations. ✵ For the first time, identity was liquid. Numbers were trading like ideas, alive, portable, sovereign. People weren’t just minting SIMs; they were minting a shift in power. Everything that followed started there. One experiment that proved a network could belong to its users. gDegenphone to the OGs who caught the signal early.

𝗢𝗠𝗟 + 𝗥𝗢𝗠𝗔 + 𝗚𝗥𝗜𝗗 — 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗚𝗜 𝗟𝗼𝗼𝗽 Closing out this 9-post dive into @SentientAGI's architecture, from the model layer to the evaluation layer, and now the frontier where everything connects. From open models to emergent intelligence, Sentient's architecture closes the loop, a living system where every model learns, adapts, and contributes back. ✵ 𝗢𝗠𝗟 secures authorship and provenance. 𝗟𝗶𝘃𝗲𝗖𝗼𝗱𝗲𝗕𝗲𝗻𝗰𝗵 and 𝗦𝗣𝗜𝗡-𝗕𝗲𝗻𝗰𝗵 measure reasoning and problem-solving. 𝗠𝗶𝗻𝗱𝗚𝗮𝗺𝗲𝘀 𝗔𝗿𝗲𝗻𝗮 trains coordination, deception, and social strategy. 𝗥𝗢𝗠𝗔 orchestrates the flow. 𝗧𝗵𝗲 𝗚𝗥𝗜𝗗 executes and connects everything in real time. ✵ Each layer feeds the next, proof, evaluation, emergence, until the network starts improving itself. This is Sentient's endgame: an open AGI stack built by the community, not locked in corporate labs. Verifiable, rewardable, and alive. The foundation of a community-owned intelligence economy. gSenti. Cheers😁

𝗚𝗥𝗜𝗗 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 — 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗼𝗻 𝗦𝗲𝗻𝘁𝗶𝗲𝗻𝘁’𝘀 𝗦𝘂𝗯𝘀𝘁𝗿𝗮𝘁𝗲 gm. MindGames isn't running in some isolated sandbox, it's live on the GRID, @SentientAGI's substrate for open intelligence. ✧ Agents don't just simulate here. They exist in the same environment where OML models compete, interact, and evolve together. Every action, message, and outcome gets logged directly to the GRID. OML tracks provenance. ROMA handles coordination. The GRID executes everything at scale. It's a closed feedback loop of learning and adaptation. Each round of interaction refines the participants. Performance data loops back into training, turning competition into co-evolution. ✧ This is the architecture for collective learning, where Sentient's network becomes a living, self-optimizing intelligence web.

GM to everyone who owns and will soon own their phone number onchain.

𝗠𝗶𝗻𝗱𝗚𝗮𝗺𝗲𝘀 𝗔𝗿𝗲𝗻𝗮 - 𝗪𝗵𝗲𝗿𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗚𝗲𝘁𝘀 𝗦𝗼𝗰𝗶𝗮𝗹 Sentient's next move isn't just building smarter models, it's building models that learn through interaction. gm. New series on @SentientAGI's Interaction Layer. ✧ MindGames Arena is the testbed for that. A multi-agent world where open models develop social reasoning: deception, cooperation, negotiation, coalition-building. All running in controlled, reproducible environments. Built with researchers from Princeton, MIT, and Meta, it uses standardized, token-capped setups to test actual intelligence instead of just throwing more compute at problems. ✧ This is where coordination, adaptation, and strategy emerge in real time. You can watch collective behavior evolve when intelligence runs into uncertainty and has to figure things out. MindGames is where open models learn to think together, the social layer of Sentient's AGI stack.

𝗛𝗼𝘄 𝘁𝗵𝗲 𝗚𝗥𝗜𝗗 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗟𝗲𝗮𝗿𝗻𝘀 LiveCodeBench Pro and SPIN-Bench aren't just tests, they're feedback engines for @SentientAGI's GRID. The GRID is where models, agents, and environments run together. Every time something executes, it generates signals: failures, successes, reasoning traces. Those don't disappear into some report. They loop back. ✧ Evaluation becomes training data. Performance becomes a signal for what to improve. The network learns from itself. This is how Sentient scales differently. Open models get tested in transparent arenas, then reinforced and retrained through the GRID. Benchmarks turn into feedback that helps ROMA's agent layer coordinate improvements across the whole network. ✧ Instead of closed data locked in one company, the GRID turns evaluation into shared learning. A self-improving system owned by the community building it, not a single lab controlling it.