Klaus

@axion_network @StarDawgs @MetaRidesInc @incomeisland @MidiPunkz Another amazing stream Will be there

Join us tomorrow for some critical migration timeline updates here on X, LinkedIn & YouTube! Date: Thursday, April 9th, 2026 Time: 1 PM EST YouTube: youtube.com/watch?v=051PJ_… LinkedIn: linkedin.com/feed/update/ur… Facebook: facebook.com/events/1192505… We will see you live!

@inference_labs Really interested in what inference Labs is building here Trust instead of just mere words Love it

1/ The more useful AI becomes, the less acceptable blind trust becomes. In low-stakes settings, that may be fine. In systems involving money, automation, or coordination, it isn’t. subnet2.inferencelabs.com

@inference_labs The shift from 'it works' to 'I know why it works' is the most important transition in AI right now. Observability is the bridge to actual trust

Microsoft is right to focus on observability for agentic AI. As systems become more autonomous, “it worked” is not enough. Teams need visibility into what happened, why it happened, and whether it can be trusted. inferencelabs.com

@inference_labs Love the focus on verifying only critical parts with ZK proofs. Total model verification is a bottleneck for real time applications, so this smarter route with DSperse is exactly what’s needed

1/ Most AI tools stop at generation. DSperse points toward something more useful: structured AI coordination across tasks, agents, and workflows. The next step is not just outputs. It’s execution. subnet2.inferencelabs.com

@inference_labs Auditable inference is a massive unlock for DeAI. Great to see more infrastructure being built for an open agentic future. Following closely

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. If you want the “how” behind the headlines: Telegram → t.me/inference_labs Discord → discord.com/invite/inferen…

@inference_labs Inference Labs is doing a great work Kudos to the team

AI is moving from chat to action. When agents start paying, routing, and executing, trust can’t rely on “probably correct.” It needs verification. That’s why Inference Labs is building infrastructure for verifiable AI and agentic coordination.

@inference_labs Speed is great for demos, but provable execution is what wins for enterprise and Web3. Trustless infrastructure > blind faith every time

AI is getting faster. Now it needs to get more accountable. Inference Labs is building for the transition from impressive outputs to verifiable execution, where trust is reinforced by infrastructure, not assumption.

@inference_labs Inference Labs is definitely doing something different from others Building trust and that's huge

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.

@MidiPunkz @jackson119 @amarni01 @Temmydee200 @Maxwelljingle @timelessness003 @bunmightojo @TMile8578 @Joshuakim0321 @HeritageOl16339 Glad to be a part of this

Latest voices added: @Jackson119 @amarni01 @Temmydee200 @Maxwelljingle @409Klaus @timelessness003 @bunmightojo @TMile8578 @Joshuakim0321 @HeritageOl16339

284 voices already added. One word. One world record. MiDiPunkz x @axion_network are closing the door on the most special collab we have ever done. We are selecting the LAST voices to be added to the WORLD RECORD LOVE SONG right now. Is your language on this song? 👀

@inference_labs Mathematical guarantees > blind trust. Moving toward a future where AI outputs are cryptographically verifiable is the only way we achieve true decentralization in high stakes workflows Love what is being built here

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 Verifiability is the missing piece for mass adoption Bullish on this

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.

The real innovation at Inference Labs isn't just the AI it’s the verification layer. By decoupling the intelligence from the trust, they’re enabling a future where decentralized multi agent systems can coordinate without a central authority overseeing them and this is impressive

@inference_labs The shift from black box AI to verifiable AI is the biggest hurdle for enterprise adoption. If we can’t prove the inference was correct, we can’t truly automate critical infrastructure. Huge milestone for the space.

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 The shift toward economically active agents is huge, but 'proof of execution' is definitely the missing link. Excited to see how Inference Labs scales the verification layer for this

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…

@zealy_io @inference_labs Sounds exciting

new sprint cooking with @inference_labs 3k on the line, social quests only let's grow?