Bittensor (TAO)

Grayscale's Head of Research just wrote about $TAO. Not a price prediction. Not speculation. A documented breakdown of what Bittensor's subnet pulled off on March 10. 72 billion parameter LLM. Trained on a permissionless network. No data centre. No Big Tech. First time a model of that scale was built on a decentralised infrastructure. $TAO went from $175 to $375 in under 3 weeks. Two catalysts. Both are labelled on Grayscale's own chart. When institutions start writing the docs, retail is still reading the price. Screenshot this.

When $TAO says “Proof of Intelligence” and every fake AI token starts sweating. https://t.co/P94qkSIrcr

It's amazing how fast we all went from "All-in on $TAO" to selling it to diversify. Maybe the dire state of Subnets are to blame

$TAO short-term view - liquidity zone Today’s low was 232 (for now). We cleared a major liquidity zone between 235 and 245 and, once again, the read played out as expected. There is still an older liquidity cluster sitting around 215–223. It would hurt, but honestly, I’d rather see it cleaned up now than later. 232 is the level to watch. Hold it and reclaim 240 with volume, and $TAO can quickly revisit 255–260. Lose it, and the unfinished liquidity at 215–223 becomes the obvious destination. For now: 232 = support 240 = confirmation 215–223 = magnet Patience. Play it safe. I am buying.

After Day 1 at the Louvre Palace, one thing stands out: the biggest highlight of @proofoftalk isn't any single keynote, panel, or announcement. It's the convergence of the people shaping the future of Web3. Bringing together 2,500+ industry leaders, founders, investors, policymakers, and innovators in one place creates something far more valuable than a conference agenda. It creates the environment where ideas become partnerships, partnerships become products, and products become the next wave of adoption. What impressed me most today was the depth of the conversations. From institutional adoption and tokenization to decentralized AI and the growing Bittensor ecosystem, the focus wasn't on hype. It was on execution. The dedicated Bittensor track was particularly exciting, highlighting how blockchain and AI are beginning to converge in meaningful ways through subnets, decentralized intelligence, and real-world applications. For me, that's the true highlight of Proof of Talk: meaningful discussions between

$TAO at $248.9. Two years of price history and one level keeps appearing over and over again. $248 to $250. Support in 2024. Resistance in early 2026. Price is sitting on it again right now. Honest macro read first. Lower highs since the November 2025 peak at $500. Every recovery has been sold. $385 in March. $335 in May. $248 now. That is the structure. It does not care about your conviction. But here is what the bears are not talking about. January 2026 printed the largest volume candle on this entire two-year chart right at the $150 low. That kind of capitulation volume marks macro floors. Every subsequent low since then has been higher than $150. The levels that matter: Line in the sand: $225. A daily close below this opens $175. First resistance to reclaim: $280 to $300. Recovery target: $385. Full reset: $500. The Grayscale and Bitwise ETF decision window opens in August 2026. 128 subnets shipping every week. Emissions cut in half. Institutional filings live. $TAO is still being priced a

The AI Industry Has Reportedly Spent $1.4 Trillion and Still Isn’t Profitable A website called https://t.co/K0HJo0WWtq is tracking the economics of the AI boom to determine if it is profitable, and the answer is no. As of May 2026, the AI industry has spent roughly $1.4 trillion on model development, data centers, chips, networking, and other AI infrastructure. Over the same period, it has generated about $613 billion in revenue. The biggest losses belong to the leading companies: - Amazon: -$291 billion - Google: -$262 billion - Microsoft: -$235 billion - Meta: -$227 billion - Oracle: -$39 billion - OpenAI: -$27 billion - Anthropic: -$26.5 billion - xAI: -$19.2 billion Only one company is profitable: Nvidia. According to the dashboard, Nvidia has generated an estimated $478 billion in AI revenue against $225 billion in AI-related spending, for a profit of roughly $253 billion. The figures are compiled from public filings, earnings reports, analyst estimates, leaks, and industry re

$ONDO The $0.40 region is critical; it must break this zone and attempt $0.45, rescuing the area and moving up to $0.70. If $0.40 is not broken and $0.45 not fragmented, they will pull the price back to support; the price weakens below $0.38. https://t.co/WVEyYHFdl7