Ross Mike cites Peter's token usage on Greg Isenberg's podcast to demonstrate the immense financial cost of unconstrained AI agent loops.
Assertion Supported
Ross Mike: LLMs degrade in performance once context fills past 70-80%
“Cause the model will get dumb as the context window closes, right? So if you have like a context window and I can draw this out, if this is your context window and like the optimal is You're between, like, there's always, like, maybe, like, 10% is already fill…”
Insight
Ross Mike: LLM coding agent performance degrades above 50% context limit
“I generally wouldn't go over 50%, meaning like the anthropic model Opus 4.5 has a 200,000 token context limit. The moment, in my opinion, you've got over a 100,000 tokens, meaning you're using the same session. It starts to sort of deteriorate. That's when you…”
Insight
Ras Mike: Design and UX will become startups' primary competitive moat
“I think the moat for the next couple of years, cause, and I, I'm willing to argue this is design. Design and user experience becomes the moat. Cause at the end of the day, like if you can make the experience much richer, much better, and you can actually solve…”
Prediction Not checkable as stated
Ras Mike: AI will create multi-million-dollar startups without technical founders
“It just, it, we truly enter, like, the birth of, like, non-technical multi-million dollar founders with no tech founder, with no CTO or anything like that.”
Opinion
Mike: AI agent loops are a mistake without money to burn
“You're gonna understand why people are fanning out about it, and you're gonna understand why it is a terrible mistake, and unless you have money to burn, that you are not to do it.”
Insight
Mike: Autonomous AI agents usually guess wrong and burn money
“And believe me, when you give the agent the floor to give assumptions, most of the time it's going to get it wrong, but not only is it going to get it wrong, it's going to burn a lot of money.”