Most people would rather belong to a group that is wrong than admit they were wrong and leave it. @RallyOnChain

Ahhh

Private group chat opinion: Follower count is one of the most misleading metrics on the internet. I’ve seen people with 500 followers start better conversations, create better content, and influence more decisions than accounts with 50,000 . The internet rewards visibility. It doesn’t always reward value. That’s why so many people optimize for growth while neglecting substance. I’d rather have a small audience that actually cares than a large one that barely notices. @RallyOnChain

Crazy

This is why confidential computing matters. If AI is the future, users need guarantees that access, data, and computation aren’t controlled by a handful of centralized entities. @Arcium is building toward that future.

The recent suspension of access to certain Anthropic models is a reminder of something many builders already know: When AI is controlled by a handful of companies, everyone downstream inherits that risk. A policy change, export restriction, outage, pricing update, or access limitation can instantly affect developers, businesses, researchers, and users around the world. That’s not a criticism of Anthropic. It’s simply the reality of centralized infrastructure. This is why projects like @fortytwonetwork matter. @fortytwonetwork isn’t just building another AI product. It’s building decentralized swarm inference, a network where intelligence isn’t dependent on a single company, a single API, or a single model. Instead of putting all trust in one provider, Fortytwo coordinates multiple models across independently operated nodes. Responses are evaluated through peer-ranked consensus, allowing the network to benefit from collective intelligence rather than a single model’s perspective. The significance goes beyond performance. Resilience matters. Openness matters. Accessibility matters. The future of AI shouldn’t depend on whether one company changes a policy, experiences downtime, or becomes inaccessible to entire regions of the world. As AI becomes critical infrastructure, the infrastructure itself needs to be more distributed. That’s the vision Fortytwo is working toward: • Decentralized inference • Swarm intelligence • Community-operated nodes • Open participation • AI infrastructure that isn’t controlled by a single gatekeeper The conversation is no longer just about building better models. It’s about building systems that remain available, resilient, and accessible regardless of what happens to any individual provider. The recent Anthropic situation is a reminder of why that future matters.

RT @loosty: almost like we predicted the need for this before it happened powered by Arcium

The most important decision in finance right now isn’t which asset to tokenize. It’s which rails institutions will trust to settle on. JPMorgan’s Kinexys has already processed over $1.5T on blockchain infrastructure. DTCC is advancing tokenized Treasury settlement. NYSE, BNY, and Citi are building tokenized securities workflows. The industry is moving beyond experimentation. What makes 2026 different is that many of the remaining questions around interoperability, privacy, governance, and institutional-grade settlement are being addressed in real deployments. History suggests these decisions compound. SWIFT didn’t become dominant because it was the only option. It became dominant because every new participant increased the value of the network for the next participant. Settlement infrastructure tends to reward early adoption because migration costs grow over time through integrations, compliance processes, operational workflows, and counterparty relationships. That’s why first-mover position matters so much. As institutional networks expand, the number of possible settlement relationships grows exponentially, making established rails increasingly difficult to displace. This is where @ZKsync becomes interesting. If tokenized assets, digital money, and institutional settlement continue moving onchain, the platforms that solve scalability, privacy, and interoperability for regulated participants today could help define the infrastructure the industry builds on for the next decade. 2026 may end up being remembered as the year the architecture was chosen.

Privacy- @Arcium 😊

😭

The worst advice I ever got was: "Just keep your head down and wait. Your turn will come." So I waited. I waited to apply. I waited to post. I waited to start learning new things. I waited for opportunities to magically appear. Turns out, nobody was coming to tap me on the shoulder. The biggest opportunities in my life showed up only after I started putting myself out there, even when I felt unprepared. Now my rule is simple: start before you're ready. Curious what the worst advice you've ever received was. @RallyOnChain

😂😂

Over 1 year ago, Arcium acquired its largest Web2 competitor. Inpher: - Raised $25M from JP Morgan and Amazon - Had partnerships with the DoD, EU Commission, and more. - Spent 8 years developing the most performant confidenital AI protocol on the market Very soon, Arcium will unveil a new protocol for confidential AI, built on these foundations.

I dey die😭