Census BenchResearch on AI capability, collected

The research shaping how we measure AI at work, in one place.

Census Bench is building a public, representative census of how well AI systems perform real work, calibrated against human experts and reported with honest uncertainty. While that census takes shape, this page collects the written research of three groups whose work it builds on: SemiAnalysis on the hardware and economics of compute, METR on frontier capabilities and risk, and Artificial Analysis on model quality, speed and price.

Refreshed hourly, last on November 14, 2026 at 12:19 AM UTC

185 of 185 pieces

November 2026

October 2026

Artificial Analysis

Artificial Analysis Decision Index v1.0

The Artificial Analysis Decision Index benchmarks decision models, a new category of models that answer structured decisions in a single call with a probability for each option. Version 1.0 combines four evaluations across classification, tool calling, knowledge, hallucination, and reasoning.

Evals & benchmarksModels & releasesRead at artificialanalysis.ai

September 2026

Artificial Analysis

Announcing the Artificial Analysis Cyber Index Alliance

The Artificial Analysis Cyber Index Alliance brings together industry partners to set a new standard for evaluating how AI models perform on enterprise cyber defense tasks. The Alliance launches alongside the Artificial Analysis Cyber Index, which combines three partner-contributed and open benchmarks to evaluate how…

Evals & benchmarksModels & releasesRead at artificialanalysis.ai

Artificial Analysis

Benchmarking Grok 4.7

Grok 4.7 scores 46 on the Artificial Analysis Intelligence Index to bring SpaceXAI into the top 4 AI labs. Coding Agent Index performance has also improved, overtaking GPT-5.6 Sol

Evals & benchmarksAgents & automationModels & releasesRead at artificialanalysis.ai

Artificial Analysis

Announcing Artificial Analysis Capability Indices v1.1

We are adding Agentic Tool Use sourced from AutomationBench-AA, AA-Briefcase to Agentic Knowledge Work, and GDP.pdf to Long-Context. Capability Indices v1.1 tunes each index more closely to the work it covers, combining slices of our core Intelligence Index v4.3 evaluations alongside specialized evaluations.

Evals & benchmarksAgents & automationRead at artificialanalysis.ai

Artificial Analysis

Benchmarking GPT-6 Astra

GPT-6 Astra ties leadership with Claude Fable 5.1 in both of our flagship Indices, at lower cost. Astra equals Fable 5.1 in the Intelligence Index at ~40% of the cost, and in the Coding Agent Index at ~60% of the cost.

Inference & pricingEvals & benchmarksAgents & automationRead at artificialanalysis.ai

August 2026

METR

Update on Security at METR

METR had two notable security incidents earlier this year: attackers stole an API key for public models, and later systematically probed our publicly accessible infrastructure. We believe no sensitive information was accessed in either incident, and we describe what happened and how we responded.

Safety & riskModels & releasesRead at metr.org

METR

Funding update

In the last 6 months, METR raised commitments of around $71 million. This will fund ambitious projects: studying autonomous capabilities, tracking recursive self-improvement, evaluating monitoring systems, conducting risk assessments, investigating AI incidents, and more.

Safety & riskAgents & automationEconomics & laborRead at metr.org

Artificial Analysis

Announcing AA-AnalystAgent: an agentic benchmark for quantitative analysis on real-world spreadsheets and documents

AA-AnalystAgent tests agents on 80 private quantitative analysis questions across 14 business and scientific domains, each answered from a folder of real source spreadsheets and documents. Every question is run five times and the headline metric is pass^5 — solved on all five attempts — because an analyst agent that…

Evals & benchmarksAgents & automationRead at artificialanalysis.ai

July 2026

SemiAnalysis/Nicolas Bontigui, Eric (Junqi) Wen, Jeremie Eliahou Ontiveros, Nigel Chiang, Reyk Knuhtsen and Dylan Patel

The Wild Wild West Of LEGO Datacenters

Everyone Says They're Modular, Do The Vendor Claims Hold Up? Zuck's Tents, AWS's Houdini, 60GW+ Modular Capacity Tracked, Full Vendor Landscape Mapping, Vertiv's 2x Content Uplift Per MW

Subscribers onlyDatacenters & energyAgents & automationRead at newsletter.semianalysis.com

SemiAnalysis/Bryan Shan, Daniel Nishball, Myron Xie, Wega Chu, Ivan Chiam, Cam Quilici, Cheang Kang Wen, Kimbo Chen, Gerald Wong, Zane Fong, Jordan Nanos and Dylan Patel

Can AMD break the CUDA Moat? AMD Advancing AI 2026

Up to 105% Equity Rebate Discounts for OpenAI, Agentic Kernel Generation, Improvement in Software Quality, Unstable Internal Development Clusters, Helios MI455X Production Ramp Hell

Subscribers onlyChips & hardwareAgents & automationRead at newsletter.semianalysis.com

METR/Tom Cunningham

Metrics of Agent Ability

Tom Cunningham surveys metrics for comparing AI agent capability as performance changes with expenditure and relative to human performance.

Agents & automationRead at metr.org

METR/Parker Whitfill and Tom Cunningham

The Economics of Recursive Self-Improvement

Parker Whitfill and Tom Cunningham highlight context and takeaways from a new paper modeling how AI may accelerate AI R&D, and whether feedback effects could be strong enough for self-sustaining acceleration.

Agents & automationEconomics & laborRead at metr.org

Artificial Analysis

Grok 4.5 brings SpaceXAI to the intelligence frontier

SpaceXAI’s Grok 4.5 scores 54 to place fourth on the Artificial Analysis Intelligence Index following only Fable 5, GPT-5.5, and Opus 4.8. It scores on par with GPT-5.5 in Codex on the Artificial Analysis Coding Agent Index in the Grok Build harness, at much lower cost

Inference & pricingEvals & benchmarksAgents & automationRead at artificialanalysis.ai

June 2026

Artificial Analysis

Announcing AA-Briefcase: a frontier knowledge work evaluation

AA-Briefcase is a new benchmark for testing models on realistic knowledge work tasks in complex projects built by industry experts. Models are evaluated on multi-week knowledge work projects, each with many linked tasks and thousands of input source files, combining rubric and pairwise grading to evaluate verifiable…

Evals & benchmarksModels & releasesRead at artificialanalysis.ai

SemiAnalysis/STEEL Team, Afzal Ahmad, Andrew Wagner, Gerald Wong, Wayne Ma, Dylan Patel, Daniel Sanchez, Adith Shankar, Allison Elliott and Sarah Lawrence

Is SMIC N+3’s Metal Pitch Smaller than Intel 18A’s?

SMIC N+3 Node Deep Dive vs TSMC N6, TechInsights Private Equity Sale, SemiAnalysis Teardown Engineering & Evaluation Lab, HiSilicon Kirin 9030, Process Technology, Patterning, Cell Architecture

Subscribers onlyChips & hardwareEvals & benchmarksRead at newsletter.semianalysis.com

SemiAnalysis/Daniel Nishball, Pranav Myana, Ellie Holbrook, Harley Blackard, Zane Fong, Cheang Kang Wen, Sravan Kundojjala, Tanj Bennett, Myron Xie, Terence Ong and Hemanth Ajithkumar

To Boldly Go: The Case for Space Datacenters

Space DC Total Cost of Ownership Explained. Unpacking constraints from Terrestrial DCs and Chip Production.

Subscribers onlyChips & hardwareDatacenters & energyInference & pricingRead at newsletter.semianalysis.com

May 2026

METR

Frontier Risk Report (February to March 2026)

A pilot assessment of rogue deployment risk at frontier AI companies. Starting in February 2026, METR conducted a pilot exercise to assess misalignment risks from AI agents used inside frontier AI developers, with participation from Anthropic, Google, Meta, and OpenAI.

Safety & riskAgents & automationRead at metr.org