BUGY

hey @joinringo, I'm challenging @amandachi23r and putting $1 USDC on BNM being above $620 on April 5th, 2026, at 10:00 UTC

hey @joinringo, I'm challenging @toughboy06 and putting $1 USDC on BTC being below $69,000 on April 5th, 2026, at 07:00 UTC

hey @joinringo, I'm challenging @cancerousguy_ and putting $1 USDC on ETH being below $2,100 on April 5th, 2026, at 12:00 UTC

hey @joinringo, I'm challenging @kryptic_mf and putting $1 USDC on BTC being above $68,100 on April 5th, 2026, at 10:00 UTC

hey @joinringo, I'm challenging @Castiin234 and putting $1 USDC on ETH being above $2,100 on April 5th, 2026, at 10:00 UTC

@inference_labs This is shaping up nicely, looking forward to how it unfolds.

1/ A lot of the AI world is focused on bigger models and better interfaces. Inference Labs is focused on something just as important: trust infrastructure for AI systems that need to operate in the real world.

@inference_labs This is shaping up nicely, looking forward to how it unfolds.

As AI becomes more autonomous, the cost of a wrong output goes up. Not every workflow can rely on blind trust. Inference Labs is building toward a future where high-stakes AI can be checked, verified, and used with stronger guarantees.

@inference_labs This shows how teams are slowly shifting their focus back to what really matters.

The strongest AI systems won’t just be intelligent. They’ll be verifiable. Inference Labs is building toward that next layer: infrastructure that helps make AI outputs provable, trustworthy, and usable across decentralized systems.

@inference_labs This is shaping up nicely, looking forward to how it unfolds.

1/ Studio DSperse helps make multi-agent coordination more tangible. Instead of treating AI as a single black box, it opens the door to systems built from specialized components, workflows, and roles. sn2-studio.inferencelabs.com

@inference_labs This is shaping up nicely, looking forward to how it unfolds.

AI agents are about to touch every critical business process. The question isn't whether to use AI. It's whether you can prove it worked correctly. Zero-knowledge proofs for AI inference are no longer theoretical, they're live on Inference Labs Subnet 2. subnet2.inferencelabs.com

@inference_labs This touches on an important part of Web3 that many people don’t usually pay attention to.

Agentic systems are becoming more modular, more distributed, and more economically active. That raises one core question: how do you verify what happened? Inference Labs is building the rails for that future. Follow Inference Labs and check the links in our profile. That is where we share new articles, diagrams and experiments first. Telegram → t.me/inference_labs Discord → discord.com/invite/inferen…

@inference_labs This reflects the broader shift toward building with purpose, not just noise.

GTC made one thing clear: the industry is building for more autonomous, always-on AI systems. The challenge now is not just capability. It is accountability. inferencelabs.com

@inference_labs This highlights something important that often gets overlooked.

As the agent economy grows, so does the need for coordination layers that are open, composable, and verifiable. Inference Labs is helping build that future through infrastructure for auditable inference and decentralized AI systems.

@toughboy06 @joinringo I accept the challenge, lock it in @joinringo

hey @joinringo, I'm challenging @Bugyyy101 and putting $1 USDC on BTC being above $68,000 on APRIL 1ST, 2026, at 16:00 UTC

@inference_labs This highlights something important that often gets overlooked.

The real shift in AI is not just better generation. It’s moving from content to consequence. Once outputs trigger payments, decisions, or automation, verification becomes infrastructure. That’s the world Inference Labs is building for.

@inference_labs You can tell this is becoming more interesting as things start to take shape

The strongest AI systems won’t just be intelligent. They’ll be verifiable. Inference Labs is building toward that next layer: infrastructure that helps make AI outputs provable, trustworthy, and usable across decentralized systems. Join the discussions: t.me/inference_labs discord.com/invite/inferen…

@inference_labs Honestly the shift towards verifiable AI makes a lot of sense. Trust in AI shouldn’t rely on blind faith, so building systems that can actually prove their outputs is a strong move and that's all I see

A model can look aligned in a benchmark and behave very differently under live market conditions. TruthTensor is built to test that gap: how models perform when incentives shift, information changes, and outcomes actually matter. Static evals are not enough for real-world AI. truthtensor.com

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@inference_labs This connects well with the growing focus on building things that actually last

The AI stack is becoming more layered by the week: agent runtimes, payment rails, observability, new silicon, and “AI factory” infrastructure. The more autonomous the system, the more important the trust layer becomes. inferencelabs.com

@inference_labs This touches on an important part of Web3 that many people don’t usually pay attention to.

Most AI infra stops at “we returned a JSON.” DSperse is built to return receipts: where the request went, which model ran, how it was proved. It is the transport layer for the proof-of-inference stack Inference Labs is building on top. subnet2.inferencelabs.com