First it is the model, the llm.
Then it is the harness, the backend and the tool calls.
Next it is the agent, the memory and the planning.
From there it becomes the organization, the swarm, and your orchestrator.
And then it becomes the protocol, a connective market, incentives and their governance.
Bittensor is getting one of its biggest stages yet.
On June 2nd & 3rd, the ecosystem is taking over a dedicated track at Proof of Talk inside the Louvre in Paris — in front of ~2,000 senior investors and allocators (85%+ C-suite or partner level).
This isn’t another crypto Twitter echo chamber.
This is #Bittensor presenting directly to BlackRock, Franklin Templeton, Fidelity, Dragonfly, Pantera, and top traditional finance players.
When the sharpest minds in decentralized AI sit in the same room as serious capital, things move. @proofoftalk
$TAO #DeAI
"Is Bitcoin actually competing to be the future world reserve currency?"
Yes.
When you need money that nobody can debase, that is free to hold and receive, that is cheap to transfer, that is censorship-resistant, and that even enemies can settle in... there is no second best.
No doubt there will be a new bull market with new ATHs
but IMO bitcoin will go lower🔵before next bull market🔴
* Note color scale is different in this chart: drawdown (BTC price / ATH) instead of relative strength index (RSI). Easier to calculate and easier to understand.
How frontier AI gets from $300–$1,000/day to $20/month?
$TAO subnets are already showing the path:
• H100s from $1.11/hr
• H200s from $1.90/hr
• 40B model training for $25/hr
• coding agents at $0.29 per PR
• deep research at $0.05/query
• inference 85% below AWS
This is what happens when intelligence becomes a commodity market on Bittensor instead of a software subscription.
$TAO
2026 reality check:
AI can now write essays, reports, and articles that are indistinguishable from human work.
The problem? No one can tell what’s real anymore.
Enter @ai_detection, Subnet 32 on #Bittensor. It doesn’t just flag “AI or not.” It breaks down every single sentence and shows you the exact mix of human vs AI content with 98%+ accuracy and under 1% false positives.
Already running real pilots in top Dubai schools and integrated into live EdTech platforms.
This isn’t a toy detector. It’s the decentralized verification layer the entire AI era needs.
Try it here: https://t.co/Yhoi9v6R0Q
How do you currently spot AI-generated content? Be honest 👇
$TAO #DeAI
Gold has 15-20 yrs left before technology rugs its scarcity.
BTC has 5-10 yrs to get past post quantum after that it has no challengers.
I could see a future where BTC trades sideways for 8-12 yrs remaining 5-6 figures, then 12-16 yrs out a god candle to multiple 7 figures.
3 things happen at the end of bear markets.
1) price cleanly breaks the cost basis of recent investors (circles).
2) idle smoking of hopium gives way to rabid clicking of the BUY button chasing the price
3) this raises the cost basis (red line transitions to green)
so let me get this straight..
@AnthropicAI trains on the world’s data, DMCAs 8,100 repos when someone forks their code, and wants a $500bn valuation for a walled garden with a broken gate?
$tao and open source is so obvious..
🧠 @ai_detection (Subnet 32) is quietly becoming one of the most important subnets in the entire ecosystem.
It’s AI is currently the most accurate AI text detector in the world:
98%+ accuracy
Under 1% false positives
Breaks down every sentence and tells you exactly how much is AI vs human vs mixed
In a world drowning in AI-generated content, this is the decentralized truth layer education, publishing, and business desperately need.
Already running pilots with top schools in Dubai and integrated into real EdTech platforms. Built as a full company in Dubai with real revenue focus.
Bittensor incentives make it perfect, new language models drop every month, and the subnet evolves faster than any centralized detector ever could.
Try it yourself: https://t.co/Yhoi9v6R0Q
This is DeAI solving real problems today.
$TAO #DEAI
NFA - Paid Promotion
Chainlink gave DeFi its price oracles.
@resilabsai (Subnet 46) is doing the same for real estate.
Instead of one centralized model that fails (remember Zillow’s $1B disaster?), RESI runs a competitive network of AI models on Bittensor that constantly battle for the most accurate property valuations.
Video condition analysis, ownership checks, macro signals; all feeding into a single API that any protocol can plug into.
Roadmap is live: nationwide US coverage now, inspection + title models next, then full DeFi lending and AI agents for transactions.
Founder Seby Rubino (ex-Compound & Maple) knows exactly how to turn this data into real yield products.
The $300 trillion market finally gets its truth layer.
$TAO
NFA - Paid Promotion