Montreal September 28-29
Big announcements for @bitmind
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
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Congrats @ai!
Canonical has been invaluable to @bitmind from day one. First believers, opened so many doors, and the brainstorming/advice/feedback has been deeply impactful
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!
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🚢🚢🚢
.@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:
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🏎️🏎️🏎️
'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
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Ken Jon retweeted
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…
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Benchmark paper is out now!
@bitmind has evaluated our model suite across 19 datasets from top deepfake benchmark papers over the last 4 years.
Amazing results. Parity or better than top models in other papers.
Deepfake detectors often excel on academic benchmarks yet lose 45–50% of their AUC on real-world content, a gap we argue is structural, since static models are trained once against a moving generative frontier. BitMind Forensics addresses this through an open adversarial competition that continually refreshes its training data.
Evaluated on 19 public benchmarks with no per-benchmark tuning, a single frozen release matched or exceeded the strongest published results, including the best commercial detector on Deepfake-Eval-2024. The evaluation harness is public and the production API serves the evaluated snapshot for independent verification.
Read the paper: arxiv.org/abs/2607.13234
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🔥
🟣 @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
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democratizing intelligence is more important than democratizing wealth
$TAO is the unstoppable alternative
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…
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Back from @proofoftalk and I'm leaving more optimistic than ever. The progress the top subnets are making is amazing, and new subnets keep arriving with high quality teams and genuinely innovative ideas. The ecosystem is in a great place.
My biggest takeaway, though, is urgency, on two fronts: revenue and research.
1. On revenue, crypto is now being evaluated like a real business. The strongest tokens are the ones with actual revenue and growth, see HYPE, VENICE, NEAR. Bittensor is already delivering here. Subnets like @TargonCompute, @webuildscore, and @bitmind are posting real revenue growth. The strength is real, the market just hasn't fully heard the story yet, and that's on us to articulate.
2. For research, distributed training is moving incredibly fast. Frontier labs are going public and their access to capital only compounds from here. New business models are emerging just as quickly, like RL training as a service. @MacrocosmosAI announced a 100B run that uses infra which can power this type of solution. The way you compete with general frontier intelligence isn't by matching it head on, it's with custom, smaller, cost-efficient models. @zeussubnet, @metanova_labs, and others are making exactly that bet. Pushing this research forward is critical, for Bittensor and for the world.
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.
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Talking @bitmind The trust layer for automation to a full house at the louvre @proofoftalk
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.
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Growing enterprise and customers on @bitmind 🚀🚀🚀
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super excited about this integration with @yanez__ai
the ecosystem effect of bittensor
🚀 @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
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Highlights from @DCGco Summit.
- As a founder/builder you can sometimes get in the weeds, especially when things are volatile. hearing @BarrySilbert perspective on $TAO and if you zoom out, how positive things look and how much progress has been made over the past couple of years was enlightening and his conversation w/ @const_reborn got everyone fired up from the start
- @GSchvey had an unbelievable data driven presentation on the financial fundamentals of TAO and how the flywheel of innovation is working
- getting to spend time with the Bittensor community, especially catching up with @shibshib89 and @dlawee who incubated @bitmind and gave us a shot was great. always inspiring and motivating to hear how other builders in the ecosystem continue to innovate.
- New talent: meeting some of the new folks coming into the ecosystem. GIGA cracked very bullish. @actualinc @oroagents @TAOInstitute_ and many others.
- lastly, getting to talk to folks outside of bittensor that don’t understand, are skeptical, or don’t believe in Bittensor yet. What’s great about the DCG Summit is diversity of talent and thought. you get to talk to very smart people who are high level operators and builders outside of the your ecosystem or vertical. not internet trolls FUDing but real, honest criticism and debating how bittensor wins and what we need to do is incredibly valuable
always an absolute top-class event. massive shoutout to @YumaGroup @EvanMalanga @LindsMikeStone and the whole @dcgco team for putting on such a great event 🔥
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.
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Dialed Ken Jon
Ken Jon Miyachi @kenjon is the founder of BitMind @bitmind, a company building at one of the most important edges of decentralised AI: deepfake detection.
As synthetic media becomes more convincing and more widespread, the need for trustworthy verification infrastructure is becoming impossible to ignore. And this is exactly where the case for decentralisation, and for Bittensor, becomes so compelling. If the mission is to determine what is real and what is manipulated, that system cannot depend on a single entity. It has to be open, resilient, and credibly neutral.
Before BitMind, Ken was a software engineer and technical lead at organisations including NEAR Foundation @NEARFoundation and Amazon @amazon.
Now he is helping build the kind of infrastructure this next era of AI will depend on.
This summer Ken joins us at the Louvre.
June 2–3, Bittensor Track at Proof of Talk.
Use code TAO for 30% off tickets 👇
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