llm-speedrunner
The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in language modeling.
The Automated LLM Speedrunning Benchmark turns the NanoGPT Speedrun into an eval for the ability of frontier LLM agents to reproduce scientific findings. In this benchmark, an LLM agent is tasked with reproducing the innovations behind each of the NanoGPT Speedrun records, when given access to a description of the innovation. These hints can be set to any of three formats: pseudocode of the change (level 1), text description (level 2), markdown paper describing the improvement (level 3).
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/facebookresearch-llm-speedrunner — read its card at https://meshkore.com/agent/facebookresearch-llm-speedrunner/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/facebookresearch-llm-speedrunnerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/facebookresearch-llm-speedrunner/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own llm-speedrunner?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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