Bittenser priceTAO

On Centralised AI & the "Dead Internet Theory": A really interesting PoV was recently raised by @MTorygreen on the Dead Internet Theory: where AI-driven social media brings about a “Monoculture AI.” The problem? As LLM-run accounts proliferate, they all start to “larp” with the same motivations, the same trained datasets which essentially sounding identical. What looks like diversity is, in reality, synthetic homogeneity. And most don’t realise this is actually a key systemic issue, where it will only continue to exacerbate with the looming data bottleneck. Projections already suggest a world where synthetic data >>> authentic human data. According to @EpochAIResearch, the world’s public human-generated text (~300T tokens) could be fully consumed by models between 2026–2032 (or sooner, if overtrained). And with information is the most valuable resource of this century, whoever controls the data + compute + model stack commands the future. The implications behind control here can thus be catastrophic if the stack remains monopolised by existing centralised giants. -------- Why Centralisation Leads to a Trust Crisis: As of now, the AI landscape is primarily dominated by a handful of Big Tech giants, standing ~61%. But ofc this comes with no surprise due to the exorbitantly high barriers of entry: 1⃣AI infra has huge capex requirements 2⃣Only Big Tech giants can fund/train at scale 3⃣Everyone else is forced to operate within their platforms’ constraints It’s a clear fact that the scale of distribution they offer on the global level is unmatched. Together with an comprehensive service-bundling of end-to-end workflows + support, a moat is established. Hwoever, these centralised AI frameworks therefore inevitably lead to: 🔹 Opaque systems → lack of transparency in how models train, adapt, and deploy 🔹 Privacy erosion → user and enterprise data locked into hyperscaler walled gardens 🔹 Trust crisis → as adoption scales, confidence in centralised black-box AI weakens These dynamics may have enabled hyperscalers to dominate the early AI wave, but they also sow the seeds of fragility. The more adoption scales under closed, opaque systems, the greater the erosion of trust → setting up an inevitable inflection point where users + enterprises sooner or later will begin to demand alternatives. -------- DeAI as a Counterforce: The strongest case for decentralisation is that DeAI introduces novel, open, and distributed architectures that offset the structural risks of centralisation. But there’s also a less obvious (yet equally important) value proposition: Diversity. With more open, distributed contributions and development, entirely new 0→1 innovations & models can emerge, creating robust alternatives to today’s dominant, one-size-fits-all services. This is why the counter-narrative isn’t about replacing Big Tech AI outright, but about injecting diversity into the stack. As Tory puts it: “The answer to AI homogenisation is diversity, not elimination.” DeAI introduces novel, open & distributed architectures that offset centralisation’s risks. Notable examples include: 🔸@Fetch_ai $FET → governance + coordination for agent systems w/ latest release of ASI-1 Mini 🔸@bittensor $TAO → open marketplace for compute, storage, inference, and digital commodities 🔸@ReiNetwork0x $REI → domain-specific innovation with a highly orchestrated system designed for advanced cognition (Reasoning Cluster) + persistent memory (Bowtie Memory Architecture) 🔸 @gen_impressions $GEN: Next-gen agentic infra enabling shift from stateless assistants → sovereign, self-evolving actors (powering 10k+ agents across 330k Telegram groups, with DeFAI & attention agents in currently in dev) This is what crypto makes possible: permissionless contribution, aligned incentives & niche innovation. Of course, DeAI isn’t free of limitations too. It’s slower than centralised infra in raw throughput, introduces more workflow complexity & struggles to match frontier-scale models. For now, choosing DeAI may feel "ideological rather than pragmatic". But here’s the overlooked truth: DeAI doesn’t need to beat hyperscalers on scale. It only needs to open new avenues of innovation and provide credible alternatives. -------- Final Thoughts: All-in-all, crypto’s role imo here is twofold: 1⃣Enabler → making open, distributed architectures viable 2⃣Disruptor → challenging the homogenisation of centralised AI And while DeAI comes with trade-offs, the benefits it enables (diversity, transparency, inclusivity, provenance) far outweigh the costs. As AI adoption surges globally and embeds itself into every industry, the Dead Internet Theory doesn’t have to be destiny. With crypto-enabled DeAI, the future can be one where AI is not just powerful, but also pluralistic, open, and resilient. That’s the future worth building: an ecosystem of choice, not control.

The cryptocurrency market is steady above $4 trillion in total value, with Bitcoin around $124,000 and Ethereum near $4,600. Trading volume has returned above $200 billion daily, showing stronger activity. As large-cap coins lead the rally, attention is now shifting toward altcoins that could see increased demand in the coming weeks. Here are five altcoins currently in focus: $TAO – AI-Powered Layer 1 Tao is a layer 1 blockchain built around artificial intelligence. It launched fairly, has a limited supply, and follows a Bitcoin-like emission model. With roughly half its tokens already in circulation, Tao combines scarcity with strong long-term positioning. Render ($RENDER ) – Graphics and AI Utility Render connects GPU power with blockchain for rendering graphics and supporting AI projects. It has a large user community and strong presence in the digital creativity sector. At around a $2 billion market cap, it trades well below its 2024 peak, making its current level a key area to watch. Aerodrome ($AERO ) – Liquidity Hub on Base Aerodrome is the main decentralized exchange on Coinbase’s Base network. As activity on Base grows, Aerodrome benefits from higher liquidity and adoption. The token recently rebounded above $1 after touching lower levels in September. SEI ($SEI ) – A Layer 1 at a Discount SEI is another layer 1 project gaining attention due to recent ecosystem updates and ETF-related news. It reached a high near $1.15 but now trades closer to $0.30.. The lower price and reduced selling pressure have placed it in a strong consolidation zone. Turbo ($TURBO ) – Meme Coin with Growth Room Turbo is positioned as a newer meme token compared to larger names like Dogecoin or Shiba Inu. Its smaller market cap leaves space for bigger swings, and community support continues to expand. Listings on major exchanges are still ahead, which could add visibility.

Over $1B worth of tokens are set to unlock this month, a supply surge led by Aptos (58.7M $APT ), $ENS (19.8M), and Bittensor (49.4M). Between Oct 4–Nov 4, major projects like ImmutableX, $TON , Avalanche, and LayerZero will also release millions in vested tokens, per DeFiLlama.

most of the coins I'm bullish on are listed in @alphabaseindex DTF however, two coins are not on @base and I think they are severely mispriced: $KAS & $TAO