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Public story · 2026-03-15 · source-backed
Prime Intellect's RLMs use a persistent Python REPL and sub-LLM calls to actively manage context rather than summarize it — handling inputs 100x beyond context window size while outperforming long-context scaffolds. Training environments available via prime-rl. Prime Intellect
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Simon Willison released LLM / Shared entity: LLM / Shared topic / What happened next / Tension
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; overlapping topics (context, model).
Simon Willison released LLM / Shared entity: LLM / Shared topic / What happened next
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; overlapping topics (call, model).
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; overlapping topics (call, model).
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; overlapping topics (input, model).
Simon Willison released LLM / Shared entity: LLM / What happened next / Tension
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; picks up the LLM thread on 2026-08-16.
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; picks up the LLM thread on 2026-06-19.
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; picks up the LLM thread on 2026-06-18.
Simon Willison released LLM / Shared entity: LLM / What happened next
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; picks up the LLM thread on 2026-08-21.