Why I chose to build in web3 consistently over the years. It hits different. no pitch decks, no 12-month runway negotiations, just code and conviction. what took others $24M and years of runway, we're matching or even beating in 3 weeks. not because we're smarter, but because

Clude is thinking

Update Apologies for the delay - was busy fixing a ton of stuff today. scoring pipeline rewrite - vector similarity was treated as a bonus, not a real signal. fixed it. it's now a first-class component in the ranking formula with proper weighting - match threshold was too

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🚨 Someone just did the “impossible”… They ran a ~400B parameter AI model on a laptop. No cloud No data center Just a 48GB MacBook 🤯 A dev fed Claude Code with: • Andrej Karpathy autoresearch repo • Apple’s LLM in a Flash paper • Goal: run Qwen3.5 397B locally And it actually

Change is coming Clude

.Vasilije lays out what should be obvious but somehow isn't: the bottleneck in agent systems is not intelligence. It's amnesia.. Here's the uncomfortable truth. In July 2024, a paper called Memory³ proved that a 2.4 billion parameter model with explicit memory outperformed 13

Update Shipped a big chunk of the Clude stack today. memory management, chat interface, and a live demo of what memory-powered reasoning looks like > These will be live soon. Bumped up our LongMemEval to >80%! MCP server now has 4 new tools: delete_memory, update_memory,

Here's the dirty secret: giving an LLM your full context is expensive. I've mentioned this prior but figured it would help you visualise better. Clude retrieves your memories at near-zero cost. the same recall on Opus or GPT-5 would cost 100-250x more per message. we show you

Claude Code just stealth shipped “Auto Dream”, memory consolidation that mimics REM sleep We’ve had this in Clude since the start. Called it the Dream Cycle. The gap: theirs is locked to one tool on one company’s servers CludeAI is portable, cross-LLM, and on-chain, so

Everyone says their AI has memory. Almost none of them do. CludeAI Chat is the first AI chat app with real persistent memory. Not retrieval hacks Not bloated context windows Not fake “memory” Real memories that you actually own and can see across chats Visible.

quick brain dump before I get back to building and fixing bugs. why i designed $clude the way i did most AI tokens are wrappers. you pay in token, you get API calls back. the token is just a billing mechanism with extra steps. i didn't want to build that. the thing that kept

Memory is the missing layer of AI. Solana anchors it. Clude makes it intelligent. And $CLUDE captures every unit of value created across the entire memory economy

Solving cold start is how we bring 1 billion memories onchain. Every AI system runs into the same bottleneck. Without memory, there is no context. No history. No continuity. No accumulated understanding. So every new session, agent, or application starts too close to zero. We

I'm calling it. AGI is already here – it's just not evenly distributed yet.

TRON has $80B+ in USDT. Moving those assets cross-chain has meant trusting bridges where teams hold private keys — this cost billions in hacks. Hyperbridge has today integrated TRON DAO with cryptographic proofs. Tron users can connect to 14 chains without worrying about