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Sorry, I just realized, and I ask for your opinion: if now the policy of the administration at the USA is to mandate a staggered, conditional, restricted ("to trusted parties") release of the forthcoming SotA LLMs, could that mean that abating their market (users from a pool "of 8 thousand or 8 million instead of 8 billion") may cause an RnD slowdown, in fear that the fees to the customers will not be able to cover the expenses? This completely clashes with the "race to AGI", to the "race to geo
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Testing LLM apps and agent frameworks against real APIs is expensive, rate-limited, slow, and non-reproducible. LLMSim is a Rust simulator for the OpenAI Chat Completions, OpenResponses and in future other protocols. LLMSim could be used in two forms, one is the server, with high concurrency for load/stress testing (~40k req/s with p99 ≈ 5ms on 4 vCPUs, scaling with cores); and second it embeds directly as a crate in your tests - no separate process, no network, deterministic. It focuses on traf
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