Where do you think the real scaling bottleneck for AI agents is right now: model intelligence, state/memory architecture, tool-call reliability or orchestration?
This story is from 2026-08-31. It is preserved in the archive; the latest stories are on the live feed.
It feels like benchmarks keep improving, but long-horizon agents still degrade fast once they have to manage dependencies, recover from partial failures and maintain context across dozens of steps. What architectural change do you think actually gets us from “LLM + tools” to reliable autonomous sys…
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Timeline · 2 reports
- 2026-08-31 16:53 · r/artificial
As AI agents use more tools and APIs, where do you think accountability should start? - 2026-08-31 09:50 · r/AI_Agents
Where do you think the real scaling bottleneck for AI agents is right now: model intelligence, state/memory architecture, tool-call reliability or orchestration?