. @TAOTemplar has spent years making Bittensor easier to understand - from mining + dTAO to subnet mechanics. A software developer with 15 years’ experience, he built TAOFlute and one of the ecosystem’s best-known education channels. At Exploit, he’ll lead our Bittensor 101 session:

TaoMate-H3 turns MiniMax H3 into a low-latency streaming audio-video generator built for continuous creation. 🤖 ⚡ Runs the DiT 11.45× faster and delivers the first playable video 10.60× faster than standard MiniMax H3 in the reported 480×864, 10-second test. 🎬 Generates synchronized video, speech, and sound in five-second chunks instead of waiting for the full sequence. 🔄 Clean KV cache and integrated audio guidance preserve identity, voice, and motion as prompts change across chunks. 🧩 A three-step LoRA supports continuous portrait or landscape generation at 480p, 768p, and aligned 1080p. Inference code and 4-GPU or 8-GPU deployment are included. 📜 MiniMax H3 Community License.

TAO is expanding to Base through Chainlink CCIP, unlocking swaps on Aerodrome for the first time. Chainlink DataLink is also powering lending and borrowing markets for wARS, a tokenized Argentine peso. Two more assets, two more markets, one standard.

Taoxichuan 陶溪川 is HUGE — most of the vendors looked super young, probably university students and independent craft artists. 🏺✨ It’s a creative district in #Jingdezhen#, built around a former ceramic factory. CR: momo

Terence Tao says AI is discouraging mathematicians from doing research, may damage the future of the field, and hasn’t really discovered new math ideas even though it has a HUGE untapped potential: “AI can solve these problems but it hasn’t really made new connections […] discover new ideas or […] allow us to understand existing theory better. Maybe in the future it will […] but […] we’re just sort of brute force throwing it at problems and just seeing which ones get solved, which ones don’t.” and on OpenAI’s Navier-Stokes solution: “The proof is 100 pages and it’s AI generated […] but it did come with a formal proof certificate […] So we do know it’s correct. […] We’ve learned about nothing mathematically from what they did.” “People are discouraged from working in the area now […] they’re just worried that […] AI’s will just scoop all their results. […] There was quite a lot of activity around Navier-Stokes […] and now it’s all kind of in disarray right now.” “It’s like strip mining the landscape […] you get all the fruits, but then […] the landscape is barren afterwards.” “There’s a responsible way to […] solve problems that develops a field and then there’s this irresponsible way […] you get your immediate goal but at the cost of damaging the future development of the field.” “Maybe in the future it will […] but […] it will require thinking about how to integrate AI into math in a different way than it is now where we're just sort of brute force throwing it at problems and just seeing which ones get solved, which ones don't. […] That's already sort of useful but it's only a tiny fraction of what AI could do.” I suggest watching the whole interview:

Terence Tao says: "we don't need these math problems solved for their own sake. we want deeper understanding and insights" There are a dozen problems in this OpenAI release I care about, but none have been explained in a way that excites me yet It's not our priority right now