Inference Labs (@inference

Inference Labs

1,515 posts

Inference Labs

@inference_labs

Autonomy unbridled. Governed by math, not blind faith.

Hamilton, Ontario

Joined March 2023

Pinned
Inference Labs
@inference_labs
May 12
1/ Most AI systems can tell you what a model predicted. Very few can show exactly how it arrived there. This is a look inside Sertn’s Proof Inspector: a 3D layer for verifiable inference. From the original frame → activations → proof artifacts → final detections.
00:00
18K
Inference Labs
@inference_labs
16h
For years, the industry focused on making AI systems more capable. An equally important challenge is making them more accountable, as capability determines what AI can do. Accountability determines where it can be trusted.
Sertn: Verifiable Computer Vision
From sertn.ai
3.6K
Inference Labs
@inference_labs
Jun 23
The latest security reports show attackers increasingly targeting AI tooling, development pipelines, and software supply chains. As AI becomes operational infrastructure, security and trust can no longer be added afterward. They have to be designed into the system from day one.
4.4K
Inference Labs
@inference_labs
Jun 22
AI adoption is accelerating across industries. The challenge is no longer building models. It's deploying systems that organizations can monitor, audit, and trust in production. At Inference Labs, we're building the infrastructure layer that helps make that possible.
Inference Network | Auditable Autonomy
From inferencelabs.com
4.6K
Inference Labs
@inference_labs
Jun 21
The conversation around AI is gradually shifting from model performance to deployment readiness. Can it be audited? Can it be trusted in production? For computer vision systems operating in real-world environments, those questions are becoming as important as accuracy itself.
3.4K
Inference Labs
@inference_labs
Jun 20
Every week, our community discusses computer vision, verifiable AI, infrastructure, proof systems, and what it actually takes to deploy AI in production. If you're building, researching, or curious about trustworthy AI, we'd love to have you join the conversation.
Join the Inference Labs Discord Server!
From discord.com
3.2K
Inference Labs
@inference_labs
Jun 19
Recent advances in AI agents have focused on giving models the ability to take actions, navigate systems, and complete tasks autonomously. As those systems become more capable, organizations will need better ways to understand what happened, what decisions were made, and how
3.4K
Inference Labs
@inference_labs
Jun 18
Cloud infrastructure made compute accessible. Foundation models made intelligence accessible. The next challenge is making AI trustworthy in production environments. That requires a different set of tools than the industry has focused on over the last few years.
2.8K
Inference Labs
@inference_labs
Jun 17
1/ AI agents are learning to take actions. Most organizations still struggle to verify outcomes. Those are very different problems.
3K
Inference Labs
@inference_labs
Jun 17
2/ The next generation of AI infrastructure won't be built around what a model can do. It will be built around what can be trusted.
Inference Network | Auditable Autonomy
From inferencelabs.com
1.3K
Inference Labs
@inference_labs
Jun 16
The most valuable part of building in AI isn't always the technology. It's the conversations with researchers, engineers, founders, operators, and users who challenge assumptions and share what they're seeing in the real world. If that sounds interesting, join our communities.
Join the Inference Labs Discord Server!
From discord.com
3.2K
Inference Labs
@inference_labs
Jun 15
1/ AI models continue to improve at an incredible pace. Yet most organizations are not struggling with model capability. They are struggling with deployment, oversight, and accountability.
3.8K
Inference Labs
@inference_labs
Jun 15
2/ The challenge is no longer getting an AI system to produce an answer. The challenge is understanding how that answer was produced, whether it can be trusted, and how to defend it when decisions matter.
1.4K
Inference Labs
@inference_labs
Jun 14
Over 1,000,000,000 proofs generated. Every proof represents an opportunity to replace "trust me" with independent verification. Still early. Still building.
7.9K
Inference Labs
@inference_labs
Jun 13
The future of AI won't be defined solely by larger models or faster inference. It will be defined by systems that can operate reliably in the real world, where decisions carry consequences and trust matters. That's the future we're building toward at Inference Labs.
Inference Network | Auditable Autonomy
From inferencelabs.com
3.8K