Ziggy

Trader in Switzerland

[Ziggy @ZiggyCrypt]

Check out my new Article of LLM on Binance Square 🔥❤️

Large Language Model (LLM)🍔
https://t.co/vneUUhkJyg

[seb @sebbsssss]

https://t.co/7KH63LqsS0

[CludeAI @cludeproject]

Portable Memory Protocol (PMP) is now LIVE!

[seb @sebbsssss]

Every AI memory can now become a verifiable, ownable digital asset. PMP is ready, more details tomorrow.

[seb @sebbsssss]

Step 1: ✅
Clude 🤝 Google

[seb @sebbsssss]

$98M raised on the belief that models should learn from your context.

A strong validation of the thesis behind Clude.
Same destination. Different path.

We’re building the world’s first memory-specific model from the ground up.

Every day, you’ll teach things to a model and have it actually learn.

Your model. Your memory. Yours.

Game on.

[seb @sebbsssss]

How Clude’s Portable Memory Protocol (PMP) bridges memory proof on Solana with tokenized asset ownership on Base. 🟣🌉🟦

1. Memories are hashed into verifiable fingerprints.
2. Solana anchors provenance of each memory.
3. Base holds ownership of the Memory Pack.

01. The System
Your AI memory should be
portable, provable, and ownable.

Technical detail
The .pmp file carries the encrypted memories.
Solana anchors memory provenance.
Base holds the 1-of-1 ownership title.
The memory stays off-chain.
The proof and title stay verifiable.

02. The Pack
Many memories make one Pack.

Technical detail
Each memory is hashed.
Those hashes form a Merkle tree.
The top hash is the Pack root.
Change any memory, and the root changes.
That root is what links the Pack across chains.

03. The Memory
Every memory gets an immutable fingerprint on Solana.

Technical detail
A memory is first converted into canonical JSON.
Fields, tags, and formatting are normalized.
Then it is hashed with sha256.
Same memory, same hash.
Different memory, different hash.
This makes verification reproducible.

04. The Proof
Solana proves the memories.
Base proves the owner.

Technical detail
Solana records memory hashes for provenance.
Base records the Pack title as an ERC-721.
Both point back to the same Pack root.
Recompute the hashes.
Rebuild the root.
Check the title.
No platform trust required.

Tokenized Memory assets on Base from Solana

[seb @sebbsssss]

Clude is now available as a custom connector on @AnthropicAI Claude. Giving it persistent memory across every conversation. It remembers your projects, your preferences, and the decisions you make, so you never start from zero again.

Use Clude across Chat / Co-Work and Claude Code.

Add it in 30 seconds, no API key:

1. In Claude: Customize, Add custom connector
URL: https://t.co/OnscFRvMMt
Enter your email. That's it.

Recap for people unfamiliar: Clude deviates from the traditional vector database that many others bolt onto Claude. We are a cognitive memory system modeled on how human memory works.

Think traditional memory systems:
Calculator > It computes. Fullstop.
Excel > Dynamic, formula run, able to share and manipulate

Clude scored 86% on LongMemEval, one of the toughest long-term memory benchmarks. This means less hallucinations to traditional platforms.

It scores memories by relevance, recency, and importance, links them into a knowledge graph, and consolidates them over time.

Tell Claude something, open a new chat, and watch it remember.

[Spotlight @pumpspotlight]

@sebbsssss @AnthropicAI Clude on Claude.

[seb @sebbsssss]

Clude is coming to Claude.

We're bringing the Clude memory layer directly into Claude through a native custom connector integration.

This is a response to feedback from our community and clients who want the benefits of Clude without changing the way they already work. For many, Claude is the interface they know best. Our goal is to meet them there and remove as much friction as possible.

Public beta is coming very soon.

[seb @sebbsssss]

gMem!
Going to be hopping on to @rasmr_eth stream later today at 2PM EST. Will be sharing more about @cludeproject and dropping some alpha too.

The stream link will be on his page closer to the time so hope to see you there!

[seb @sebbsssss]

Clude PMP Roadmap update: Week 4-5
What is shipped, what is in testing, what remains.

Week 1: 100% ✅✅✅
Week 2: 100% ✅✅✅
Week 3: 100% ✅✅✅
Week 4: 100% ✅✅✅

Week 5: 90% ✅✅
Week 6: 60% ✅

🧠 Updated & Improved Memory Benchmarks:
We ran HaluMem, the academic benchmark for memory hallucination, the same one mem0, MemOS, and Zep are scored on.
3,467 questions, official scorer.
Restoring the full recall stack lifted accuracy to +85%.
Read-side grounding cut hallucination sharply, and accuracy went up, not down.

🔐 Owner-controlled encryption (in testing):
Each memory is encrypted at rest under its own random key (XSalsa20-Poly1305). That key is sealed with an X25519 sealed box to two recipients: the owner and the provider. The owner's keypair is derived from a wallet signature through HKDF, so we never hold it.
Revoke destroys the provider's copy of the key and seals the summary and embedding, after which the server cannot read the memory.
Re-delegate restores access and is validated by decryption: the server proves the re-supplied key actually decrypts the stored ciphertext before accepting it, so a forged request fails the Poly1305 check.
Final testings before we go live.

🟦 Base (Private Beta):
The fingerprint and the verification format are chain-neutral by construction. The same canonical hash anchors on any chain, and VERIFY returns the same response shape whether the commitment lives on Solana or Base.
We have deployed to Base Sepolia and it's currently in private test, so a memory minted on Solana can be verified from Base with a signed proof.
No bridge. Same wire format both ways.

🎯 Next Focus:
> Freeze and open the v0.2 spec
> Publish the SDK and LangChain adapter
> Continuous evaluation so quality never regresses
> Closed internal beta

🚢 Current state shipped:
✅ Tokenization and four verbs live on Solana
✅ Public verifier live: https://t.co/obGzy2xRax
✅ Six-phase recall, measured against the field
✅ Owner-controlled encryption one flip from live
✅ Base commitment contract deploying to testnet

We are building in public.
Full transparency and accountability.

[CludeAI @cludeproject]

We're excited to share that Clude has been awarded a $10,000 grant to prototype what we believe could become the world's first memory-specific language model.

Thank you @SuperteamSG @SolanaFndn for supporting builders on @solana

[Ziggy @ZiggyCrypt]

@sebbsssss 👀🔥 @superteam

[seb @sebbsssss]

We're excited to share that Clude has been awarded a $10,000 grant from Superteam Singapore through the Solana Foundation Grants program.

We'll be using this funding to prototype what we believe could become the world's first memory-specific language model.

Today's AI systems retrieve memories about users. Our thesis is different.

Memory should become part of the model itself.

Instead of treating memory as external context, the model incrementally adapts through personalized weight updates. Over time, it becomes shaped by the people who use it.

This grant helps us take the first step from thesis to proof of concept as we continue developing a larger research initiative with a frontier AI lab.

A special thank you to Kimmi @Kimmi_Unni and the Superteam Singapore @SuperteamSG team for believing in our vision.

This is only possible on @solana .

@SolanaFndn @solana_ai @solana_devs

[seb @sebbsssss]

Much of the AI discussion today revolves around safety.

That is understandable. More capable models create new risks. Security matters. Alignment matters.

What concerns me is the growing assumption that safety and centralization are somehow the same thing.

A larger and larger share of intelligence is being concentrated inside a small number of organizations that control the models, the compute, the distribution, and increasingly the terms of access. There are reasonable arguments for this. Centralized systems are easier to coordinate, easier to monitor, and often easier to secure.

They are also easier to control. As we've seen recently.

Once intelligence becomes critical infrastructure, access to intelligence becomes a question of power. Who gets access, under what conditions, and with which restrictions.

The risk is not any individual policy. The risk is the direction of travel.

Today it may be identity requirements for certain capabilities. Tomorrow it may be identity requirements for meaningful participation in the intelligence economy itself. The distance between safe access and approved access is smaller than many people realize.

History is full of systems that became restrictive one reasonable decision at a time.

That is why I have always been drawn to open source AI. Open source distributes power. It makes intelligence auditable and lowers the number of gatekeepers standing between people and the tools they depend on.

But open source only solves part of the problem.

The next control point is memory.

Models are improving rapidly and becoming increasingly interchangeable. What makes an agent valuable over time is not only what it knows about the world, but what it learns about you.

Your preferences, habits, goals, work patterns, relationships, and decision making frameworks. The context accumulated through months and years of interaction. The countless small details that allow an agent to become increasingly useful over time.

Today, most of that context is owned by the platforms that collect it. It is stored behind closed interfaces, tied to specific products, and largely invisible to the people it describes. When users leave, much of that context stays behind.

Memory is beginning to look less like a feature and more like part of a person's digital identity.

As agents become more capable, the accumulated context surrounding an individual may become more valuable than the model serving it. Models will improve. Models will be replaced. Personal context compounds.

That belief is the reason PMP exists.

PMP stands for Portable Memory Protocol. The idea is straightforward. Agent memories should be portable, transparent, verifiable, and controlled by the person they describe.

Not trapped inside a platform. Not hidden inside a black box. Not lost every time a user changes providers.

The real value in tokenized memory is provenance and ownership.

Where did a memory come from. Who created it. Can it be verified. Can permissions be managed. Can trust be preserved when that memory moves between agents, applications, and platforms.

In many ways, memories become receipts for context. A record of how understanding was built, where it originated, and who ultimately controls it.

The future of AI will not be defined only by who builds the best models. It will also be defined by who owns the context that makes those models useful.

A model can answer your questions. A memory layer can accumulate an understanding of how you work, what you care about, and what you are trying to achieve.

If models become centralized and memory becomes platform-owned, users lose control of both the intelligence and the context surrounding it. The entire relationship becomes dependent on whoever owns the stack.

Open source is one answer to that problem. Portable memory is another.

Open source distributes intelligence. Portable memory distributes ownership of the relationship.

Together they create a future where users can move between models and agents without abandoning years of accumulated context. Models can change. Providers can change. Interfaces can change. Your context should not have to start over every time the underlying technology changes.

The alternative is not difficult to imagine.

A world of KYC-gated models, platform-owned memory, locked agents, and opaque systems. A world where a small number of organizations decide how intelligence is accessed and on what terms. Not because they seized control, but because everyone gradually became dependent on infrastructure they could not leave.

I would rather see a future built on secure models, open protocols, user-owned memory, portable agents, and verifiable provenance.

Security matters. But security should not become an argument for concentration.

The long-term question is not simply who controls the models. It is who owns the context that gives those models value in the first place.

@DarioAmodei @sama - Let's make open source great again. @ErikVoorhees already leading the pack!

[seb @sebbsssss]

https://t.co/nJlJ5Ja8xk

[CludeAI @cludeproject]

Why Memory Is the Foundation of the Clude Corporate Suite:

[seb @sebbsssss]

For everyone who joined the Clude community at SuperAI, welcome!

Here's a quick 2-minute recap of what we're building, why tokenized memory matters, and how we're turning memory into an onchain asset.

Watch until the end for a first look at Cortex, one of our flagship products in our Clude Corporate Suite. Built to help organizations capture, retain, and compound institutional memory.

Memory is the moat.

We're building it.

[seb @sebbsssss]

Wrapping up my final day at @superai_conf.

After a few days of conversations with founders, investors, and builders, one idea kept coming up again and again.

The future 100x company won't be defined by headcount. It will be defined by how effectively intelligence flows through the organization.

AI is becoming the layer that connects workflows, decisions, and customer interactions. But intelligence without memory is just inference.

Memory is the moat!

The companies that win won't simply generate answers. They'll retain context, learn from every interaction, and compound knowledge over time.

It's a big reason why I'm so excited about what we're building at Clude. Every conversation this week reinforced the need for a memory layer that gives AI systems continuity, context, and organizational intelligence.

On a personal note, this was a lot of socializing for a dev lol. I'm drained!

But I'm leaving energized by the people I met, the ideas I learned from, and the conviction that we're building in the right direction.

Now it's time to get back to my comfort zone and do what I do best.

Build.

[seb @sebbsssss]

Started the day in a private breakfast discussion with Max Tegmark, hosted by Peter @peternoszek, and left today's @superai_conf more convinced than ever that we're still incredibly early.

Max @tegmark spoke about the importance of moving fast enough to ensure AI remains a tool for the betterment of humanity. I agree. As speed without understanding creates its own risks.

That's why we're building KYA at @cludeproject.

As agents become more capable, we need to understand why decisions are made, not just evaluate outcomes after the fact. Auditability starts at the memory layer.

What also struck me was the shift here in Singapore. Compared to last year, the energy, ambition, and quality of builders have stepped up significantly. The ecosystem feels like it's crossed an inflection point.

Despite how insanely fast AI is moving, and with Mythos launching today, the biggest opportunity still lies ahead.

Memory is the moat.
We're early, not wrong.