The accuracy gap in production voice AI is wider than most people realize. Async’s benchmark on non-standard text shows 81.2% sentence-level accuracy and 88.6% unit-level accuracy, tested on 2,200+ non-standard words in true real-time streaming. No preprocessing. No text
SYSTEMS
-
Understanding Human Behavior for AI Development
By
–
It sure helps to understand how human beings work.
-
How Simplified Mental Models Enable Understanding
By
–
We all walk around with an absurdly simplified version of the world in our heads. What's amazing is that it works at all.
-
Agent Governance: Five-Layer Stack for Production AI
By
–
Agent Governance is no so talked about but super important topic for running AI Agents in production. Check out my article covering 5 layers of agent governance stack.
-
RDU Accelerates Token Generation for Trillion-Parameter AI Agents
By
–
Agents move step by step, so decode speed sets the pace.
— SambaNova (@SambaNovaAI) 22 avril 2026
That’s where the RDU comes in. Built to keep token generation fast even on trillion-parameter models, so agents don’t get stuck waiting.
🔗 Read more: https://t.co/LKvL4KshaF pic.twitter.com/qCkBpxiLnCAgents move step by step, so decode speed sets the pace. That’s where the RDU comes in. Built to keep token generation fast even on trillion-parameter models, so agents don’t get stuck waiting. Read more: https://
sambanova.ai/blog/sambanova
-and-intel-blog?utm_source=x&utm_medium=organic&utm_content=blog-announcement
… -
Detecting Machine Failures Versus Understanding How to Fix Them
By
–
The distinction between knowing a machine might fail versus knowing exactly how to fix it is huge.
-
Build Workspace Agents with Cloud-Hosted Codex for Teams
By
–
Build workspace agents for your team, on top of a cloud-hosted Codex harness. Hook them up to tools, give them recurring tasks, and talk to them from surfaces like Slack.
— Greg Brockman (@gdb) 22 avril 2026
Easier than ever to bring the power of agents to your computer work. https://t.co/Yzf7gfHmwOBuild workspace agents for your team, on top of a cloud-hosted Codex harness. Hook them up to tools, give them recurring tasks, and talk to them from surfaces like Slack. Easier than ever to bring the power of agents to your computer work.
-
AgentOps: Full Stack for Scaling Autonomous AI Agents
By
–
AgentOps = MLOps for autonomous AI. To scale agents in production you need the full stack: planning memory/context execution (tools/APIs/code) monitoring optimization governance infrastructure Agents don’t scale without operations. #AgentOps #AIAgents
-
Maintaining Data Consistency Across Device Lifecycles
By
–
When the same function produces different data sets based on device age, how do you maintain consistency across decades?