If LLM scaling won't reach AGI, where exactly does the self-improving researcher loop break?
ImmuneHack · reddit · 2026-09-08
A Reddit discussion lays out the OpenAI/Anthropic bet: keep improving LLMs/reasoning models, memory, math, coding, tool use and agents until you get a genuinely capable automated AI researcher, which then accelerates AI research in a feedback loop. The author argues today's architecture need not reach ASI directly—it only has to meaningfully automate AI research and produce whatever comes next. He asks skeptics of current-paradigm scaling: where exactly does this loop break, and what evidence would change your mind?
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