Bittensor’s 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’s 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. The moment came when Chamath Palihapitiya 
pointed Huang to what he called a “pretty crazy technical accomplishment” 
inside “this crypto project called Bittensor.” He described a recent training 
run on Subnet 3 in which participants used distributed excess compute to train 
a Llama model “totally distributed” while still managing the process 
statefully. Nvidia CEO Responds To Bittensor&#8217;s Accomplishment Huang’s 
immediate reaction was brief but memorable: “Our modern version of 
Folding@home.” That line mattered because it effectively reframed Bittensor’s 
latest milestone in language traditional tech audiences already understand. 
Folding@home was one of the most recognizable examples of decentralized 
volunteer computers; Huang’s comparison suggested he viewed Bittensor’s 
experiment less as crypto theater and more as a legitimate expression of 
distributed coordination. Related Reading: Austin Arnold Unveils His Top 6 
Crypto Altcoin Picks For 2026 In the context of TAO’s price action, traders 
appeared to read that as external validation from one of the most influential 
executives in AI hardware. Huang then widened the discussion beyond Bittensor 
itself and into the structure of the AI market. “I 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’s A and B. There’s no 
question about it,” he said. He followed that with an even sharper 
distinction: “Models are a technology, not a product. Models are technology, 
not a service.” Related Reading: Is Dogecoin About To Repeat NVIDIA’s Run? 
Here’s What The Chart Says 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. “I 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,” he said, arguing that this horizontal layer of AI products 
“is thriving” and “is going to be great.” On the @theallinpod this week, 
@chamath asked @nvidia CEO Jensen Huang about decentralized AI training, 
calling our Covenant-72B run &#8220;a pretty crazy technical accomplishment.&#8221; One 
correction: it&#8217;s 72 billion parameters, not four. Trained permissionlessly 
across 70+ contributors… pic.twitter.com/BN0tWG66e8 — templar (@tplr_ai) March 
19, 2026 But he drew a hard line when it came to industry-specific deployment, 
saying domain expertise “has to be captured in a way that they can control,” 
and that “it can only come from open models.” That distinction goes to the 
heart of why Bittensor reacted so violently. While Huang didn’t make a token 
call, or presented Bittensor as the winner of open AI, he did endorse the 
coexistence of proprietary and open model ecosystems, while acknowledging that 
specialized industries will need more controllable, open foundations. At press 
time, TAO traded at $297.0 Featured image created with DALL.E, chart from 
TradingView.com

Bittensor (TAO) Surges 28% As Nvidia CEO Huang Praises Open AI Models

Kaspa price shot up to a seven-week high of $0.041 on Thursday before settling 
at $0.037 at press time. It has now confirmed a breakout from a multi-year 
falling wedge pattern, which could spur more gains ahead. According to data…

Kaspa price eyes over 50% rebound after confirming falling wedge pattern

In the wake of yesterday’s episode involving a long-dormant whale transferring 
a sizable cache of bitcoin, a holder dating back to 2012 moved 2,100 
bitcoin—valued at more than $146 million at current exchange rates. Dormant 
Bitcoin From 2012 Moves With bitcoin trading lower this year, activity among 
early holders has cooled notably compared with 2025, […]

2012 Bitcoin Whale Quietly Moves 2,100 BTC Worth $146M as Dormant Supply Stirs

Morgan Stanley filed a second amended S-1 for its MSBT spot Bitcoin ETF, 
detailing seed capital, listing plans and Wall Street partners.

Morgan Stanley advances MSBT Bitcoin ETF with amended SEC filing

Coinbase&#8217;s 24/7 stock futures could reshape global trading by enhancing market 
accessibility and liquidity, challenging traditional exchanges.
The post Coinbase unveils 24/7 stock futures for global traders in derivatives 
push appeared first on Crypto Briefing.

Cryptocurrency price in CLP