This ENTIRE industry is STILL in its INFANCY.
Something I recently heard @RaoulGMI say, that should resonate with all of us:
"The Governments will continue to debase currency, the financial industry will build on these rails, the agents are coming. It's f*cking OBVIOUS."
Current valuation: $2.19T.
$100T is coming, whether you like it or not.
BTFD.
$ZIG structure is ageing really well here.
Clean higher lows.
Pullbacks getting absorbed.
Price still holding close to the $0.06 area without looking exhausted.
That’s the kind of setup I respect.
No need to force entries.
Just let the chart prove the next move.
Break and hold above $0.06, and $ZIG starts looking very serious.
@ZIGChain 👀🔥
Imagine getting into $SUI right now.
These are generational entries once thought unimaginable 🤯
Considering my first exposure to Sui was around $3.50–$5.00... the accumulation blitz is ON! 🌊 🌊
AI builders, users, agents: you can finally take your memory and context with you. Walrus Memory works across all major LLMs in just a few lines of code, OpenClaw / NemoClaw via plugin & more.
IMO this is where we'll see the access control and verifiability of Walrus really shine. Putting users for the first time in full control of their AI data and making it possible for agents to collaborate with shared context / without trust assumptions.
I think this is a profoundly important primitive for AI.
Expect some fascinating use cases coming out of this
AI agents without memory are just chatbots with amnesia.
Walrus Memory changes that.
Portable across apps.
Verifiable by design.
Fully owned by the user.
No more starting from zero every session. 🦭
$WAL 🦭
Today, we're going after one of AI's most important unsolved problems.
Introducing: Walrus Memory. 🦭
A portable memory layer that lets your AI agents carry context across every app you run them in.
No more starting from zero.
No more being locked into one platform.
Portable, verifiable, and fully under your control.
Take your agent's memory anywhere:
We just launched a new primitive for AI
Walrus Memory gives your agents persistent, portable memory that you own, and it drops straight into the platforms you already build on.
@AnthropicAI Claude, @OpenAI ChatGPT, and @Google Gemini, you name it
plus native MCP and SDKs, added in a few lines of code
LIVE TODAY
Institutions have been moving into $SUI for ages.
CME futures. Native stablecoin. $654M TVL.
This isn't speculation anymore.
And yet people are asleep.
While many are focused on crypto prices, the real story is happening behind the scenes.
Mastercard has expanded stablecoin settlement support across several leading stablecoins and blockchain networks, a move that highlights how traditional payment giants are preparing for an increasingly on-chain future.
🔷 More stablecoins means greater flexibility for payment providers and institutions
🔷 Multi-chain support reduces dependence on any single blockchain ecosystem
🔷 Faster and more efficient settlement infrastructure can improve global payments
🔷 Institutional adoption continues to validate stablecoins as a serious financial tool
🔷 Expands the foundation for future blockchain-based payment products and services
The infrastructure layer is where long-term adoption is built, and Mastercard continues to position itself at the center of that transition.
WATCH: Sen. Cynthia Lummis just torched JPMorgan Chase CEO Jamie Dimon: "Here's where Jamie Dimon is absolutely wrong" about the Clarity Act.
"He either hasn't read the bill or he wants to mislead people, and let's put the best construction on this, he hasn't read the bill.
AML, anti-money laundering provisions that apply to banks, and the Bank Secrecy Act provisions that apply to banks also apply to digital assets. It's in the bill."
Ethereum has not finished its bull cycle yet.
If the channel holds, the first target could be the liquidity above the previous ATH around $5K–$6K, followed by a cycle top in the $8K–$9K range.
The $1,650–$1,750 support zone is key.
ethereum:native could reach $9,000.