Mercor (@mercor

Mercor

294 posts

Mercor

@mercor_ai

Organizing human intelligence to power the AI economy.

San Francisco

Joined April 2021

Mercor reposted
Brendan (can/do)
@BrendanFoody
Jun 24
Training agents will be the largest job category in 5 years. At Mercor, many of our teams already spend majority of their time training agents to complete repetitive tasks. Instead of people responding to repetitive customer support tickets or watching interviews, they train
63K
Mercor reposted
Dwarkesh Patel
@dwarkesh_sp
Jun 19
Narration: the data efficiency black hole. 00:00:00 – What is really driving AI progress? 00:03:11 – Comparing human vs AI sample efficiency 00:08:46 – Does sample efficiency matter? Also on pod and YouTube feed.
00:00
197K
Mercor reposted
Brendan (can/do)
@BrendanFoody
Jun 19
72% of users on the Mercor platform come from referrals. What other platforms have a higher referral rate?
15K
Mercor reposted
Brendan (can/do)
@BrendanFoody
Jun 15
Organizing human intelligence is the most important problem in society. Every enterprise will need humans to constantly refine their system of record for evaluating and specifying agent behavior. As AI becomes more powerful, humans will become more important not less.
Satya Nadella
@satyanadella
Jun 14
Article
A frontier without an ecosystem is not stable
I’ve been thinking a lot about the future of the firm in an AI-driven economy. This transition is different than any previous platform shift. In the past, we used digital systems to enhance human...
26K
Mercor reposted
Brendan (can/do)
@BrendanFoody
Jun 14
A year ago, I predicted that we would enter The Era of Evals, but it's now happening much faster than I anticipated. Frontier Labs have scaled their Eval production with us by more than 10X in the last 12 months, on what was already a 9-figure base. Every tech-forward
Brendan (can/do)
@BrendanFoody
Jun 30, 2025
Mercor (@mercor_ai) is now working with 6 out of the Magnificent 7, all of the top 5 AI labs, and most of the top application layer companies. One trend is common across every customer: we are entering The Era of Evals. RL is becoming so effective that models will be able to
66K
Mercor reposted
Cognition
@cognition
Jun 11
Two days left to apply for the Inference-Time Compute Hackathon, hosted by Cognition, @mercor_ai, @Etched, and @AnthropicAI, where you get: • 8x H100s per team • $100k+ in prizes • Dedicated Agents Track Build something that pushes the frontier.
30K
Mercor
@mercor_ai
Jun 11
Agents are only as good as the environments behind them. At Mercor, we've built deep expertise in the realistic, economically-grounded environments that help agents bridge the gap from the lab to real-world usefulness. We want to put that expertise to work for the broader
17K
Mercor
@mercor_ai
Jun 11
Read more on @huggingface:
The Open Source Community is backing OpenEnv for Agentic RL
From huggingface.co
1.2K
Mercor reposted
Brendan (can/do)
@BrendanFoody
Jun 11
Claude Fable 5's progress in coding (APEX SWE) dramatically outpaced progress in other domains like finance, law, and consulting (APEX Agents). The top reason for the fast progress in coding is that we have GitHub, with over 28 million repositories of human-written code. We're
60K
Mercor
@mercor_ai
Jun 11
Claude Fable 5 places 2nd on APEX-Agents leaderboard @claudeai Fable 5 (Max) scores 45.0% Pass@1, behind Gemini 3.5 Flash (49.6%) and ahead of Claude Opus 4.8 (42.5%). Fable 5 reached 2nd overall while spending far fewer tokens. It used 70% less than Gemini 3.5 Flash and 37%
58K
Mercor
@mercor_ai
Jun 11
APEX-Agents domain breakdown for Claude Fable 5 (Max), Pass@1: Corporate Law: 40.9% (1st) Investment Banking: 47.7% (2nd) Management Consulting: 46.4% (2nd) With 4 runs, Fable solved 246 of 480 tasks, including 8 that no other model has solved. All 8 tasks are in Law,
4.7K
Mercor
@mercor_ai
Jun 11
Sign up for the APEX-Agents newsletter: mercor.com/apex Download the APEX-Agents dataset: huggingface.co/datasets/merco… Open-source infra + eval service (Archipelago): github.com/Mercor-Intelli… Technical report: arxiv.org/abs/2601.14242
APEX Benchmarks: The AI Productivity Index | Mercor
From mercor.com
4.1K
Mercor reposted
MTS
@MTSlive
Jun 9
What are the top AI researchers saying about the future of human work? @BrendanFoody, co-founder and CEO of Mercor: "People often have this misconception that we won't need data in three years because we'll have super intelligence... AI better than humans at absolutely
00:00
Brendan (can/do)
@BrendanFoody
May 6
Mercor's average pay rate just surpassed $100 / hour. We're mobilizing tens of thousands of top software engineers, bankers, lawyers, and doctors to build the next generation of AI models. Every top economist believes that there will be more jobs in 10 years than there are
9.2K
Mercor reposted
Brendan (can/do)
@BrendanFoody
Jun 9
Claude Fable 5's progress on hillclimbing APEX-SWE is accelerating exponentially. While other models focus on reasoning over a code base, Claude has unparalleled results at reasoning over Linear tickets, observability logs, Slack messages, and Google Drive files alongside the
Mercor
@mercor_ai
Jun 9
Claude Fable 5 takes #1 on APEX-SWE: 65.5% Pass@1 overall. It scores ~18pp higher than Opus 4.8. We tested @claudeai Fable 5 on APEX-SWE which measures whether AI models can do real software engineering work. Fable 5 tops our two APEX-SWE categories: - Integration: 61.3% -
19K
Mercor
@mercor_ai
Jun 9
Claude Fable 5 takes #1 on APEX-SWE: 65.5% Pass@1 overall. It scores ~18pp higher than Opus 4.8. We tested @claudeai Fable 5 on APEX-SWE which measures whether AI models can do real software engineering work. Fable 5 tops our two APEX-SWE categories: - Integration: 61.3% -
117K
Mercor
@mercor_ai
Jun 9
What changed is how Fable 5 works. Where Opus 4.8 reads code one file at a time, Fable 5 investigates in parallel: 10.4 parallel tool calls per trajectory versus zero for Opus 4.8. It searches code, reads files, runs tests, and queries logs at once, instead of chasing one
4K
Mercor
@mercor_ai
Jun 9
The pattern is higher leverage, not more effort. Fable 5 spends less of its budget searching and more validating, testing as it goes and catching issues during edits rather than after. It rewrites less too: 3.8 edit iterations versus 6.0 for Opus 4.8. The result: 10% fewer
APEX-SWE: AI Rankings for Software Engineering | Mercor
From mercor.com
3.2K
Mercor reposted
Brendan (can/do)
@BrendanFoody
Jun 6
AI progress requires (1) compute, (2) algorithms, and (3) data. - The leading compute company is worth $5 trillion. - The leading model company is worth $1 trillion. - @mercor_ai is the leading data company and is currently valued orders of magnitude lower. There's an
79K