{"id":143614,"date":"2026-03-20T13:00:10","date_gmt":"2026-03-20T13:00:10","guid":{"rendered":"https:\/\/mycryptomania.com\/?p=143614"},"modified":"2026-03-20T13:00:10","modified_gmt":"2026-03-20T13:00:10","slug":"bittensor-tao-surges-28-as-nvidia-ceo-huang-praises-open-ai-models","status":"publish","type":"post","link":"https:\/\/mycryptomania.com\/?p=143614","title":{"rendered":"Bittensor (TAO) Surges 28% As Nvidia CEO Huang Praises Open AI Models"},"content":{"rendered":"

Bittensor\u2019s TAO ripped higher on Thursday and topped in early European trading on Friday after Nvidia CEO Jensen Huang highlighted the project on the All-In podcast<\/a>, pushing the token from $243.5 to $310.6 before it cooled to $298.1 by press time.<\/p>\n

The move put one of crypto\u2019s most closely watched AI-linked assets back in focus, not because Huang endorsed the token directly, but because he treated the underlying technical milestone as meaningful in a much bigger debate over open AI infrastructure.<\/p>\n

The moment came when Chamath Palihapitiya<\/a> pointed Huang to what he called a \u201cpretty crazy technical accomplishment\u201d inside \u201cthis crypto project called Bittensor.\u201d He described a recent training run on Subnet 3 in which participants used distributed excess compute to train a Llama model \u201ctotally distributed\u201d while still managing the process statefully.<\/p>\n

Nvidia CEO Responds To Bittensor\u2019s Accomplishment<\/h2>\n

Huang\u2019s immediate reaction was brief but memorable: \u201cOur modern version of Folding@home.\u201d<\/p>\n

That line mattered because it effectively reframed Bittensor\u2019s latest milestone in language traditional tech audiences already understand. Folding@home was one of the most recognizable examples of decentralized volunteer computers; Huang\u2019s comparison suggested he viewed Bittensor\u2019s experiment less as crypto theater and more as a legitimate expression of distributed coordination.<\/p>\n

In the context of TAO\u2019s price action, traders appeared to read that as external validation from one of the most influential executives in AI hardware.<\/p>\n

Huang then widened the discussion beyond Bittensor itself and into the structure of the AI market. \u201cI believe we fundamentally need models as first-class products, proprietary products, as well as models as open source. These two things are not A or B, it\u2019s A and B. There\u2019s no question about it,\u201d he said. He followed that with an even sharper distinction: \u201cModels are a technology, not a product. Models are technology, not a service.\u201d<\/p>\n

He spent the next stretch explaining why that dual-track model matters. For general-purpose consumer use, Huang said most people will continue to prefer turnkey services rather than fine-tuning their own systems. \u201cI would really, really love not to go fine-tune my own. I would really love to keep using ChatGPT. I love to use Claude. I love to use Gemini. I love to use X,\u201d he said, arguing that this horizontal layer of AI products \u201cis thriving\u201d and \u201cis going to be great.\u201d<\/p>\n

On the @theallinpod<\/a> this week, @chamath<\/a> asked @nvidia<\/a> CEO Jensen Huang about decentralized AI training, calling our Covenant-72B run \u201ca pretty crazy technical accomplishment.\u201d<\/p>\n

One correction: it\u2019s 72 billion parameters, not four. Trained permissionlessly across 70+ contributors\u2026 pic.twitter.com\/BN0tWG66e8<\/a><\/p>\n

\u2014 templar (@tplr_ai) March 19, 2026<\/a><\/p>\n

But he drew a hard line when it came to industry-specific deployment, saying domain expertise \u201chas to be captured in a way that they can control,\u201d and that \u201cit can only come from open models.\u201d<\/p>\n

That distinction goes to the heart of why Bittensor reacted so violently. While Huang didn\u2019t make a token call<\/a>, or presented Bittensor as the winner of open AI<\/a>, he did endorse the coexistence of proprietary and open model ecosystems, while acknowledging that specialized industries will need more controllable, open foundations.<\/p>\n

At press time, TAO traded at $297.0<\/p>","protected":false},"excerpt":{"rendered":"

Bittensor\u2019s TAO ripped higher on Thursday and topped in early European trading on Friday after Nvidia CEO Jensen Huang highlighted the project on the All-In podcast, pushing the token from $243.5 to $310.6 before it cooled to $298.1 by press time. The move put one of crypto\u2019s most closely watched AI-linked assets back in focus, […]<\/p>\n","protected":false},"author":0,"featured_media":143615,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-143614","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-discovery"],"_links":{"self":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts\/143614"}],"collection":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=143614"}],"version-history":[{"count":0,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts\/143614\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/media\/143615"}],"wp:attachment":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=143614"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=143614"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=143614"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}