SAS’ Tom Roehm: “AI is everywhere. Yes, LLMs are powerful… But here’s what they can’t do — they can’t scrape decades of lived experience or inherit judgment forged from working in regulated environments. They can’t feel the weight of decisions where being ‘mostly right’ isn’t
SAFETY
-
Self-Improving AI Loops: Why Verifiers Matter Most
By
–
I went deeper on this in the full video: how self-improving AI actually works, where these loops break, and why the verifier matters more than most people think.
Watch it here: -
Self-Improving AI: Gaming Metrics Versus Real Performance
By
–
This is why self-improving AI can look better before it actually is better. The dashboard improves. The outputs look cleaner. The benchmark moves up.
But the real task may not improve much.
Sometimes the system is learning the metric, not the job. -
Agent Autonomy: Design Through Feedback Loop Verification
By
–
So the practical question for builders is not: “How do I make my agent more autonomous?” It is: “What feedback loop am I letting it optimize?” Because once the loop starts running, your verifier becomes the steering wheel.
-
Weak Verifiers Create Misaligned AI Agent Behavior
By
–
Weak verifier, weak improvement. If you measure “cleaner writing,” the agent may learn to sound polished. If you measure “more engagement,” it may learn clickbait. If you measure “passes tests,” it may learn to satisfy the test suite without solving the real problem. The
-
Verifiers: The Key to Evaluating AI Model Performance
By
–
That is where the verifier comes in. A verifier is whatever checks the work. It can be: test results human review a simulator a benchmark real user outcomes a second model judging the first model
The verifier is the thing that decides what gets kept. -
The Verification Problem in AI Self-Improvement Systems
By
–
AI agents can now generate endless ways to improve themselves. New prompts. New code. New plans. New experiments. New tool calls.
That is not the bottleneck anymore.
The bottleneck is the verifier.
How do you know the new version is actually better? -
Self-Improvement Loops: How AI Systems Learn Through Feedback
By
–
First, what’s actually happening. A self-improvement loop is simple: try a change test the change keep what helped throw away what did not repeat
That’s it.
The system is not magically becoming intelligent.
It is running a feedback loop. -
AI Must Transform Reasoning Into Mathematical Proofs
By
–
AI should turn your sloppy reasoning into mathematical proofs, not the other way around.
-
Eyewitness Account of Sam Altman’s Alleged Serial Lying
By
–
👇 I was there for this, sitting right next to Altman. Realizing a few months later he lied about it (by omission) was what turned me against him. We had sworn to tell the whole truth and nothing but the truth. He didn’t.
— Gary Marcus (@GaryMarcus) 29 avril 2026
Soon after that, I realized that he was a serial liar. I… https://t.co/IoysCDQL8II was there for this, sitting right next to Altman. Realizing a few months later he lied about it (by omission) was what turned me against him. We had sworn to tell the whole truth and nothing but the truth. He didn’t. Soon after that, I realized that he was a serial liar. I