seb

I wanted to address this because I’ve been getting some questions around how GPT-5.5 memory works. Let me break it down. GPT-5.5 memory is a step up from your traditional memory layers found in your frontier models. It can remember preferences, past context, writing style, recurring details, and use that to make future responses feel more personalised. But structurally, this is still a glorified notepad than true memory. Saved facts. Referenced chat history. Context pulled back in when useful. Relevant details injected into the model’s working context. That is helpful. But it also exposes one of the biggest problems in AI today: Memory retrieval is not the same as memory judgment. The challenge is not just storing more information. The challenge is knowing what to retrieve, when to retrieve it, how much to retrieve, and whether it is still true. Because bad memory retrieval creates context bloat. And context bloat creates context rot. Every irrelevant piece of context added into a prompt increases cost, increases latency, and can reduce reasoning quality. The model starts carrying too much noise. Old facts, outdated preferences, duplicated context, stale assumptions, and irrelevant history all get mixed into the same soup. That is when memory becomes a liability. An AI that remembers everything is not more intelligent. It may simply become more confused, more expensive, and slower. The real memory layer is not about saving everything. It is about deciding: What matters? What changed? What should be forgotten? What should decay? What should be revised? What should be trusted? What should be retrieved right now? That is the hard problem and what @cludeproject is looking to solve. The next phase of AI will not just be bigger context windows. It will be better context judgment. Because memory is not storage. Memory is knowing what deserves to survive and how we retrieve it efficiently.

Without memory, intelligence is rented. With memory, it is owned. Own your memory.

Two weeks ago, we set out to make AI memory portable. Today, Clude is the first AI memory layer with a real, signed, open file format. Every memory carries a cryptographic receipt, content-hashed, signed with your private key, and anchored to Solana. Anyone can verify it. No one needs to trust us. We shipped a tiny standalone verifier. Install a thirty-kilobyte package, point it at any pack, and audit it without a Clude account. Backups, encryption, attachments, signed soft-deletes for GDPR, all in the spec. On top of that, we built the Brain Wiki. Your conversations don't disappear into chat history. They auto-organize into a structured, cross-linked knowledge base. Open questions. Decisions. To dos. The agent flags contradictions when older notes disagree with newer ones. Install a vertical like Compliance, and memories about audits, SOC2, or regulator asks start routing into the right topics automatically, by keyword, and by embedding similarity. Export the whole thing as markdown, open it in Obsidian, or share a single topic with a colleague. Now the bigger play: memory tokenization. Every memory becomes a first-class digital asset. Your AI's knowledge, every conversation, every decision, every preference it learned about you, becomes something you can own, prove, and move. You grant or revoke access cryptographically. You move memory between agents, Clude, ChatGPT, Claude, anything that supports the open spec. You prove what your AI knew, and when, without trusting the vendor. Memory marketplaces. Auditable AI. Multi-agent interop with cryptographically verifiable trust. This is the moment memory stops being a feature buried inside someone else's product. It becomes a protocol. Open. Portable. Yours. Welcome to the memory layer

@katie_haun One of the new digital asset that we know will start gaining traction in the age of agents is memory and we're building on that right now. Would love to grab a chat Katie

Programmable Money unlocked new markets and opportunities. Programmable Intelligence will do the same. But only if Memory can be owned, priced, and exchanged. Tokenized Memory solves this.

A model without memory resets. A system with owned memory compounds. Imagine an asset that compounds its value over time. Clude is building this asset. Tokenize Memory.

@WLTGofficial Wowwww

The way you understand football is about to change forever. Join the waitlist: wltg.ai

@justinsuntron Would love to do some integration

GPT 5.5 与 Claude Opus 4.7 已经上线

🔐 Just locked 49,868,376 $Clude tokens with @Streamflow_Fi It's on-chain. You can check the amount, time-period and recipients. Check it out👇 app.streamflow.finance/contract/solan…

@gabrielchua @aiDotEngineer @thsottiaux Would love to attend and check out what we can cook with Codex!

Hi Singapore 🇸🇬, meet Codex 🩵 With Codex, ANYONE can build and create. We’re turning that energy up this May. We’re a diamond sponsor 💎 at @aiDotEngineer Singapore, at a bunch of events, and hosting sessions for builders at every level. Plus, @thsottiaux will be in town. There's something for everyone: > Intro workshops if you’re just getting started. > Hack nights if you want to go deep & tokenmax > Demo nights if you want to see what people are building. May is going to be fun, and we're just getting started. +++++++++++++++++ 3 May: Emergency Codex Hackathon luma.com/zprbhtzyTogeth… with @brianchew 4 May: Codex Hack Night - Design & Frontend luma.com/bw3rpffqTogeth… with @cleondesigns 5 May: Codex Demo Night - GPT-5.5 & ImageGen 2 luma.com/tu1yajd5Togeth… with @Lorong_AI and @yongquanYQ 7 May: AI Engineer UnConference luma.com/3binn6ce No talk there, but I’ll be hanging out. Come find us. Together with the @65labslah crew 9 May: AI Engineer Singapore Hackathon Link is TBA Together with the @65labslah crew 9 May: Codex workshop at The Good Hack lnkd.in/gYrUMj3g Thanks for inviting us GoodHub SEA (Joanne Tan), Open Government Products 11 May: Codex Hack Night - Computer Use luma.com/pbk5bb32 Together with @Lorong_AI and @yongquanYQ 13 May: Codex Hack Night - TBC 👀 luma.com/4v97ndhxTogeth… Together with @Lorong_AI TBA: Intro to Codex for Everyday Work - Workshop 15 May: AI Engineer Singapore - Codex Workshop 16-17 May: AI Engineer Singapore - Keynotes + Codex Booths and more ...

@feikuu Yours.

@sebbsssss Yours. Clean!!! ✨✨✨

Clude Chat revamp incoming

@AntonPlayVC Nah. Had a lot of help from ChatGPT and another colleague. Underwent multiple iterations with some manuals edits and inputs 😂

@sebbsssss Did you do it by yourself or?

The market treats memory like a feature. Features get copied or forked. Assets are owned and traded. If AI intelligence compounds, its Memory should too. Tokenize Memories on Solana.

Signed our first corporate client but under NDA. More details to follow in time after the job is done. Onboarding slowly but surely.

@a1lon9 Long term visioning and also a bet that Pump will continue to grow into the next year. Based

today is a turning point for $PUMP and pump fun I want to give more context on the bigger picture and where we're actually going. over the past ~9 months, 100% of revenue went into buybacks. basically no other platform in crypto has done that at this scale. however, we received ongoing feedback specifically on the feeling of a lack of trust - in the certainty of buybacks, in what would happen to the bought-back tokens, even in whether the business itself would be here in a year. today, we’re changing that. it started with burning ~$370M worth of $PUMP purchases. ~36% of the circulating supply removed from circulation, forever. but that isn’t enough. we’ve also allocated 50% of our next year of revenue to programmatic buybacks & burns. no more uncertainty for those who believe in us & those we’re proud to call our community. but why not 100%? the short answer is the business simply needs the other 50% to grow. a large treasury gives us the flexibility to make big bets over the next 5-10 years, and 50% of ongoing revenue enables us to build better products, infrastructure & reinvest into the ecosystem. I am extremely confident that 50% of the business we're building toward will dwarf 100% of the business we have today.

Memories travel with the agent. Fork personas. Rent specialized knowledge. Let collective intelligence compound

Knowledge are scattered. What if we can make them portable and owned by the user

Memories memories memories