We develop sovereign-grade digital systems: #blockchain, #AI, #web3, #evm, #solana, #digitalassets, #QC and governance frameworks that shape the future economy

Joined June 2015
319 Photos and videos
1/ A company is switching a shut-down nuclear plant back on — just to run AI. Intelligence used to feel free. It doesn't anymore. A thread on why AI is becoming an infrastructure story.
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4/ So, a question is surfacing that most businesses haven't asked: Should the consumption of AI sit inside the tax system? The more AI you use, the more you contribute — funding the retraining the shift makes necessary.
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The real question isn't "can we trust the AI?" It is "how do we cap the damage when it goes wrong?" Our co-founder @VytautasKaseta on Anthropic's hard-won lessons in AI containment
Anthropic's engineers approved giving Claude access they'd have rejected a year ago. Then they published what broke: • Users rubber-stamped 93% of safety prompts • A phished "run this" prompt stole credentials 24/25 times • Their own custom code failed; battle-tested sandboxes held Lesson: don't trust the AI — cap what it can touch. linkedin.com/pulse/anthropic…
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The opportunity is substantial. Capturing it will require more than AI capabilities - it will require infrastructure, governance, and trust that can scale alongside them. @McKinsey_MGI analysis puts the opportunity into perspective.
The adoption of AI and automation could unlock significant economic value in Europe, but the pace of adoption is critical. By 2030, as much as $1.9 trillion in economic value could be unlocked in a midpoint scenario. Read and subscribe: bit.ly/4v0tyjt
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Generation got cheap. Verification didn't. As AI drives the cost of creating content toward zero, trust becomes the scarce resource. Authenticity, accountability, and provenance are moving from the background into the architecture itself: superhow.com/post/the-age-of…
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Tokenized assets: the forecasts differ, the direction doesn't. The interesting question is no longer whether assets become tokenized, but what infrastructure institutions will require to operate at that scale.
Looking ahead, forecasts for tokenized assets vary a lot but they all point in the same direction: growth. McKinsey: $2–4T by 2030. Ark Invest: $11T by 2030. BCG/Ripple: $9.4T by 2030, $18.9T by 2033. Standard Chartered: $30T by 2034. The gap between $2 trillion and $30 trillion is more about definitions than adoption. Different institutions are measuring different things. McKinsey focuses mostly on bonds, loans, funds, and equities. Standard Chartered adds commodities and trade finance. BCG and Ripple include deposits and stablecoins alongside more traditional asset categories. Despite these differences, the broader trend is consistent: Asset tokenization is expected to expand.
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Some ideas start as technical discussions. The interesting ones eventually become infrastructure.
The AI race has largely been about generating more. What if the next advantage comes from deciding what should never be computed? That's the question behind Unveil. Built by @superhow_com unveil.io
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Back in January, @BCG highlighted plans for increased AI investment across industries. A few months later, the direction looks even clearer: AI is becoming core infrastructure - with orchestration, governance, resilience and compute emerging as strategic advantages.
94% of companies plan to invest in AI, even if it doesn't drive immediate returns. BCG's 2026 AI Radar survey shows companies plan to double their AI spending in 2026, with investment expected to rise across all industries. Read the full report: bit.ly/4sUV9C3 #WEF26 #BCGatDavos
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The industry spent years optimizing models. Now it is starting to optimize judgment: what to run, when to run it and whether it should run at all. That shift matters more than most people realize.
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Most organizations still treat quantum as a future story. It is already becoming a governance, resilience and preparedness challenge ⬇️
Quantum computing is entering a new phase of commercial momentum. Companies exploring pilots now—from finance to pharma to logistics—may be best positioned to capture billions in value as the technology matures. mck.co/4uhrkvM
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When 'seeing is believing' no longer holds, the real advantage is the ability to verify what’s real. Interesting, and we may add, a very logical prediction from @Gartner_inc .
Gartner Newsroom: Gartner Predicts 40% of Government Organizations Will Establish TrustOps to Counter Deepfake Threats by 2028 #GartnerNewsroom gtnr.it/4ub2H3E
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“Harvest now, decrypt later” is no longer theoretical. Quantum resilience and artificial intelligence discipline are becoming the same infrastructure conversation. Two sides of the same shift. Read more: bit.ly/2edges
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We are excited to see Unveil officially go live 🚀 Proud to be part of the journey behind a company rethinking how AI and computation move forward - not by doing more, but by understanding what should proceed in the first place. Explore here: unveil.io
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