xTAO - a Bittensor company (@xtaohq)

The BitMind team and @kenjon have launched a new subnet.

Introducing @yugosai, a decision model designed specifically for inference.

Build with a single API and model name. Yugo selects the most suitable model for each request, balancing performance, cost, and speed.

Ventura Labs Verified account @VenturaLabs Nov 3

Ep. 107 - Dylan Uys & Ken Miyachi

Dylan @_dubm and Ken @kenjon are building @yugosai

Timestamps
01:00 Dylan Uys: From BitMind to Yugos
04:09 AI coding workflows and model choice
06:33 The harness versus the model
11:31 Balancing intelligence, cost and speed
13:21 Keeping the model and provider catalog current
16:43 Routing across Bittensor services
20:47 Routing versus multi-agent orchestration
26:01 Benchmark gaming and validation
30:03 Can a routing system build a moat?
31:44 The value of real-world traffic
33:37 Yugos roadmap and custom provider choices
35:55 Local models and privacy
38:24 Agents in the research workflow

40:24 Ken Miyachi
42:29 The future of agent harnesses
47:02 Building a business around the router
52:58 The human role in software development
55:24 Distribution and lessons from BitMind
58:35 Competing with well-funded AI companies
1:00:56 Vendor lock-in and changing models
1:04:01 Yugos go-to-market plans
1:04:57 Token spending and the value of AI work
1:08:51 Research versus production development
1:10:59 Training routers for different user needs
1:16:18 Consumer AI and agent business models
1:21:01 Provider incentives and customer trust
1:22:44 Why distribution matters for Yugos
1:25:12 Open source, monetization and defensibility
1:28:26 Bittensor development speed and security

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xTAO - a Bittensor company @xtaohq 5h

Our priorities at xTAO

• Operate a best-in-class validator.
• Grow the stake behind our validator.
• Maintain liquidity reserves.
• Buy back shares only when it creates value for shareholders.
• Issue equity only when we expect it to generate shareholder value.

xTAO - a Bittensor company @xtaohq 1d

Bittensor has some of the best protocols for accessing decentralized inference networks.

@engyai, @say_gm_, @thinkinstant, @chutes_ai, @Pareton_ai, and many more teams are building on Bittensor.

We're ahead with our $TAO subnets.

const Verified account @const_reborn Nov 4

Everyone waking up to the idea of decentralized inference networks now, but also compute clusters, and training systems.

It will be protocols that mediate those networks since only a protocol can aggregate disparate and liquid compute -- across jurisdictions -- without taking on localized political risk.

gn datacenters --> gm inference networks
@engyai @chutes_ai @thinkinstant
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xTAO - a Bittensor company @xtaohq 1d

In case you missed it, we've released our Winter 2026 investor deck.

Explore our latest deck for insights into xTAO's business operations, progress to date, and long-term thesis on Bittensor.

The future is open. bittensor:native 🌐

xTAO - a Bittensor company Verified account @xtaohq Oct 27

xTAO has released its Winter 2026 Investor Deck.

Explore our latest deck for deeper insights into our business operations, key milestones, financial performance, and our investment thesis on Bittensor and the long-term potential of decentralized AI.

The future is open.

xtao.co/investors/pres…

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xTAO - a Bittensor company @xtaohq 2d

@reliquary_ai has released Teutonic-I-Reliquary, a 9B-parameter model post-trained entirely on Bittensor using decentralized compute. 👏

Open and decentralized model training on Bittensor is thriving.

Reliquary | Bittensor SN81 τ Verified account @reliquary_ai Nov 5

We’ve released Teutonic-I-Reliquary, a 9B model post-trained entirely on Bittensor using untrusted GPUs, from RTX 3090s to B200s.

It beats Qwen3.5-9B on SWE-bench Verified, scoring 43.6% vs 35.1%.

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xTAO - a Bittensor company

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