Our validator for SN111 is running on hardware provided by @TargonCompute. We're super grateful for the fast, reliable setup and the team's amazing support. Thank you, guys!

.@TargonCompute is powering Theoriq AI experimentation. Curating risk-managed yield is, underneath, a research problem: how markets behave, where they break, and how much of that can be seen coming. That runs on heavy, on-demand compute. Targon is our partner in supplying it.

Decentralization doesn't remove trust. It relocates it. @manifoldlabs took that head-on. @TargonCompute turned untrusted GPUs into confidential compute you can actually verify - and put the architecture in a paper co-authored with @intel. Enterprise-grade privacy, running permissionlessly on #Bittensor. This is the work Exploit exists to platform. They're one of our platinum sponsors. The team making the case that decentralized compute is ready for the enterprise - at the event where that case gets tested: luma.com/exploitsummit26

🦔AI companies are bulk-buying rare books, scanning them through high-speed machines that cut the spines off, and shredding the originals. A service called ISBNdb facilitates orders of up to a million books and keeps buyers anonymous. Pre-2022 books are premium because they're free of AI-generated text. A federal judge ruled the practice is fair use because eliminating the original means only one copy exists at a time. Anthropic hired the former head of Google Books partnerships to obtain "all the books in the world." My Take This got to me. A bookseller told 404 Media that rare books with almost no surviving copies are being fed into this pipeline. Books that survived wars, fires, and centuries of handling are being shredded so an AI can learn to write a better marketing email. ISBNdb's website literally says "'AI company destroys two million books' is not a headline that generates sympathy," and they still built an entire business around making it happen quietly. They offer NDAs as a feature. They coach clients to call it "digital preservation." I've covered AI companies scraping the internet, torrenting libraries, and stealing music. This is worse because it's irreversible. You can re-upload a website. You can reprint a bestseller. You can't replace the last three copies of an 18th-century botanical text once someone shreds them for training data. And the judge said it's legal. So it's going to accelerate. "We shred rare books and offer NDAs so nobody finds out" is a legitimate business model in 2026. What a timeline. Hedgie🤗

One of the challenges in decentralized compute is providing customers with infrastructure that feels like dedicated cloud infrastructure while preserving strong isolation. Here's an architectural change we recently made.

The writing is on the wall. Public support for hyperscale data centers is collapsing, and 77% of Americans are now worried AI will drive up their electricity bills, and only 14% are okay with a data center near their home. NY just became the first state to enact a statewide moratorium, and 300+ data center bills have been filed across 30+ states, and $64B in projects have been blocked or delayed. Nvidia sees it too. They're pivoting to distributed compute: residential nodes, personal AI supercomputers, and a vision of "an AI supercomputer in every household." The narrative is shifting from scale to sovereignty. The question is no longer how big your cluster is, it's who owns the compute.

This Thursday on Novelty Search :: SN4 Targon @TargonCompute is building a confidential, decentralized compute cloud >> Secure GPU and CPU infrastructure for AI training and deployment. Join @const_reborn and the team from @manifoldlabs talking confidential compute, TEE, Targon-At-Home + launch of TargonOS Thursday :: 9PM UTC / 5PM EDT Live via Bittensor Discord. Hosted by @const_reborn