Some may say crypto’s global growth has been underwhelming, but that’s never the full story. Every paradigm shift begins with a cold-start problem, and its important to note: Slow growth ≠ failed adoption We’re still v much in the early-adopter phase the groundwork stage where the foundations of the next decade are being quietly built. This is also where early signs of production proof showcase a glimpse of its value proposition & potential to the broader industry. While considerably nascent, it's worth noting how far the DeAI space has came since its recent inception: 🔹 @AethirCloud $ATH: over 400K GPUs activated 🔹 @ionet $IO: decentralized cloud network scaling to 138+ countries with 90% cost efficiency 🔹 @Filecoin $FIL: 2.1 EiB of decentralized data storage facilitated 🔹 @bittensor $TAO: one of the largest open marketplaces for compute, storage & inference And if you think about it, DeAI here represents a twofold paradigm shift: 1⃣Enabler → Turning open, distributed architectures into reality 2⃣Disruptor → Challenging the limitations of centralised AI silos This means a radical redefinition of industrial standards & like any transformation at this scale, it will take time. AI adoption is compounding faster than any technological wave before it. When the implications are this great, resistance eventually gives way to evolution. There is also so much untapped potential to develop on top of AI's open economy. The most obvious form lies in the open composability that enables a new form of financial primitives that maximises productivity impossible to achieve in centralised silo-ed AI. The idea of 'Mind Legos' essentially, where the intelligence stack becomes modular and multi-layered, enabling a new level of coordination, reusability & collective intelligence. This is the future DeAI is paving toward: one where innovation compounds across open networks instead of being confined. All in all, these are reflections inspired by @MTorygreen’s deep dive on DeAI below. Highly recommended read 👇
1/ Has crypto failed? After 16 years, adoption is <10%. By the same point in time, mobile and social were past 40%. That feels like failure. It isn’t. Adoption curves bend—then explode. This is the moment before everything changes. Here’s why 👇
cc those who might be interested: @YashasEdu @thelearningpill @kenodnb @St1t3h @cryptorinweb3 @the_smart_ape @JiraiyaReal @eli5_defi @bullish_bunt @belizardd @VirtualKenji @_SmokinTed @BringMeCoins
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