Here is @const_reborn's full keynote at @ExploitSummit It is worth the 36 minutes, but I'll give you the cliff notes. > Affine 1, a model trained by anonymous miners entirely on Bittensor, matches the intelligence score of Anthropic's Opus 4.1. > 23 of 128 subnets now have paying customers > Gamma tokens are coming to turn subnet usage credits into something agents can buy from any chain. > "We're not afraid of hyper-intelligent bot swarms on the internet. We use them to optimize our technology."

We're excited to announce that we're going to be joining Y Combinator in Fall 2026. The team is super pumped to be working with @golda and co to continue on our journey of creating the best in class open source models for agentic commerce.

Announcing Teutonic-II-110B: a frontier permissionless training of a 110B LLM We are scaling 10x beyond our previous model and 50% larger than any prior decentralized run.

You can't trust your own eyes anymore. AI-generated faces, voices, and video keep getting harder to catch - and cheaper to make. With synthetic media is scaling faster than anyone can moderate it, detection has to scale with it. That's why @kenjon, Co-founder & CEO of @bitmind, is building the detection layer that fights back - on #Bittensor. Before BitMind, Ken was a software engineer and technical lead at organisations including @NEARFoundation and @amazon. Now he's building the infrastructure we need in the next gen of AI. He's on the Exploit stage next month: luma.com/exploitsummit26

When I started Canonical, the mission was simple: back technical founders building core mission-critical infrastructure before it's obvious. Today, I'm extremely proud to share that Canonical has been selected for the 2026 @raiseconference Select cohort alongside an incredible group of emerging fund managers. To our portfolio founders, LPs, and community partners - thank you for trusting us. Looking forward to connecting with LPs & GPs at The Presidio in SF on Oct 22, 2026. Drop a DM if you'll be there!

Today, we’re officially launching OpenRoboto — Bittensor Subnet 80. We’re sharing the full vision: open weights, open data and open benchmarks, coordinated through Bittensor to continuously improve robotics models.

.@bitmind just published a paper placing BitMind Forensics among the world’s top deepfake detection systems. It matched the best commercial image detector, beat the best commercial video detector, and outperformed top models on major benchmarks. Here’s the Bittensor edge:

'How fast should the protocol change?' @askyoav: the protocol's moving too fast. @0xcarro: it’s not fast enough. Bittensor must move fast to compete with centralized AI - but constant change is bad for businesses building on it. See the debate on stage at Exploit: luma.com/exploitsummit26

Our new benchmarking survey paper is dropping soon. We rigorously tested deepfake detector benchmarks for the past 4 years. Very excited to share the results! Data-driven truth for AI security. Stay tuned.

🟣 @krakenfx are set to begin listing #Bittensor subnet alpha tokens First subnets to be listed are.. @chutes_ai @TargonCompute @webuildscore @lium_io @ridges_ai @hippius_subnet @VantaTrading 👉 kraken.com/listings#roadmap @krakenfx is the first major global exchange to expand their support for the #Bittensor ecosystem 👏 $TAO

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…

The frontier of AI has been generative, but we think the next unlock is different. Representation and embedding models are how detection moves forward, and they're the key to unlocking the next wave of physical AI use cases. Here's why it matters now. The world is automating fast, and every automated system opens a new attack vector for fraud. Return fraud is already the largest sector of global fraud in the world, and it's growing at a rapid pace. As AI agents start transacting and acting on our behalf, that surface only expands. Generation showed us what AI can create. Representation is how we'll understand, verify, and secure what it produces. That's why BitMind is building the horizontal security layer for AI, detection that sits across the stack and protects every system that automation touches.

NOW on the Second Stage at the Louvre: a lineup of individual Subnet Keynotes from some of the most exciting teams building on Bittensor. → @micaelabazo, @metanova_labs — decentralised AI for pharma and drug discovery. → @0xcarro, @TargonCompute — confidential compute infrastructure through TEEs. → @tm0klc, @manakoai — vision models and Manako, turning Bittensor-powered computer vision into enterprise use cases. → @mast3rdubs, @hippius_subnet — decentralised storage and cloud infrastructure. → @kenjon, @bitmind — deepfake detection and AI content verification. → @shardiban, @oroagents — the open arena for AI agents. The fastest tour of what is actually being built on Bittensor right now. Bittensor Track at Proof of Talk.

BlueTAO integrates BitMind's AI image detector.

🚀 @yanez__ai #SN54 Phase 4 C3 Execution starts May 6. This cycle is about one thing: giving miners faster feedback so high-quality work improves faster. Phase 4 C2 showed the face track is scaling: 📈 Leaderboard grew from 8 → 100 miners 🥇 New Platinum tier added 🛡️ Manual validation stayed active 📉 Faster score decay keeps rewards moving 📊 Reputation now reflects Face Variation quality, not volume Our Post-validation reputation system helped us verify miner workflows end-to-end and made it easier to separate real generation from copy/paste, loops, shortcuts, or exploit behavior. Now in C3 Execution, miners will start seeing live estimated scores on the dashboard as submissions are processed. These are not final scores. Final truth still comes from post-validation. But live scoring gives miners a much better signal: ✅ Am I following the task? ✅ Is identity preserved? ✅ Is the output strong or weak? ✅ Is my workflow producing useful data? We’re also adding @bitmind detection signals on the dashboard as a live feedback layer. Not as the final judge — but as a practical signal to help miners understand how their outputs behave against detection tools during testing. This matters because the subnet is moving from “submit and wait” toward a tighter adversarial learning loop. Generate → detect → improve → validate → reward. That’s how #SN54 becomes useful for #PoU systems. For new miners, we’re also improving onboarding: 📚 clearer submission guidelines 🎥 example workflow videos 📊 real-time score visibility The message is simple: Quality > volume. Identity preservation matters. Task adherence matters. Honest workflows compound. Execution starts May 6. More coming — stay aligned, keep building, and don’t fade early. #Bittensor $TAO

NGL I love that underneath so many NASA pics I see @SiamKidd checking them on @bitmind Keeping NASA in check 👀

For the second time, we brought our partners in the Bittensor community together at the @dcgco Summit to dive deep into Bittensor $TAO. A lot of momentum in the ecosystem and we’re excited for what’s ahead.