Mercor

@mercor

Organizing human intelligence to power the AI economy.

San Francisco

mercor.com/apex

Replies Reposts Media Articles

Mercor
@mercor
20h
Mercury 3, @_inception_ai's diffusion LLM, debuts on the APEX leaderboards. 50.2% Pass@1 on APEX-Agents (#30 of 59) 43.1% Pass@1 on APEX-SWE (#31 of 62) Inception positions Mercury 3 against speed-optimized frontier models. On APEX-Agents it lands between GPT-6 Luna and Haiku
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Mercor
@mercor
Oct 19
Last week, Mercor Research economist @aden_barton joined @MTSlive to discuss our latest study comparing frontier AI models with licensed accountants on real-world accounting tasks. 18 months ago, the best models performed below the average accountant. Today, models are faster
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Mercor
@mercor
Oct 15
Congratulations to @NVIDIAAI for launching Nemotron 3.5 Super VL. We worked with our partners @tryramp, @harvey, and @cognition along with the NVIDIA team to post-train and improve the model’s performance using targeted datasets from our APEX benchmarks. We tested the
Small, targeted data, measurable gains: specializing NVIDIA Nemotron 3.5 Super for legal, software...
From mercor.com
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Mercor
@mercor
Oct 15
Mercor Research mapped AI benchmarks to actual US jobs. Only 208 of 923 occupations in the US economy are represented by existing AI benchmarks. 90% of hours worked in the US aren't covered well by a relevant AI benchmark. Today, we’re releasing the 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 𝗠𝗮𝗽
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Mercor
@mercor
Oct 8
Introducing the Mercor Research team. We’re building a world-class research organization, including @edwardjhu (first author of LoRA), @MinyangTian1 (SciCode, CritPt), Victor Barres (τ²-bench, τ-voice), @hrdkbhatnagar (PostTrainBench), @bertievidgen (APEX-Agents) and many
Why Mercor is building a research team
From mercor.com
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