AI in research & analysis: 44 real deployments

Initial partner in OpenAI's trusted-access program for GPT-6 Rosalind Research for biology and drug discovery

Receiving free Claude credits via gnomAD to distribute to researchers across biology, medicine, physics, chemistry, climate science, and mathematics

Receiving free Claude credits to distribute to researchers across biology, medicine, physics, chemistry, climate science, and mathematics

Receiving free Claude credits to distribute to researchers across biology, medicine, physics, chemistry, climate science, and mathematics

Receiving free Claude credits to distribute to researchers across biology, medicine, physics, chemistry, climate science, and mathematics

Receiving free Claude credits to distribute to researchers across biology, medicine, physics, chemistry, climate science, and mathematics

Receiving free Claude credits to distribute to researchers across biology, medicine, physics, chemistry, climate science, and mathematics

Receiving free Claude credits to distribute to researchers across biology, medicine, physics, chemistry, climate science, and mathematics

Receiving free Claude credits to distribute to researchers across biology, medicine, physics, chemistry, climate science, and mathematics

Receiving free Claude credits to distribute to researchers across biology, medicine, physics, chemistry, climate science, and mathematics

AI-agent swarms used to produce a complete Lean 4 formalization of the Classification of Finite Simple Groups across 43.1M lines of code

Reported: Proof completed in 24 days; 34 deviations from published proofs uncovered, including counterexamples in the Unbalanced Group Theorem

Used human-directed agentic AI workflow to prove the 1995 Kannan–Lovász–Simonovits mathematical conjecture

Reported: AI explored 100+ candidate approaches; 140-page proof produced; unguided AI attempts with comparable compute fell short

Ran ~2,000 GPT-Rosalind agents across an 8-million-cell mouse brain CRISPR atlas in collaboration with OpenAI and PerturbAI

Reported: Analysis completed in 32 minutes; agents cited 700+ references vs. 11 for a single agent; blinded specialists preferred multi-agent outputs 75% of the time

Ran ~2,000 GPT-Rosalind agents across an 8-million-cell mouse brain CRISPR atlas in collaboration with OpenAI and Scripps Research

Reported: Analysis completed in 32 minutes; agents cited 700+ references vs. 11 for a single agent; blinded specialists preferred multi-agent outputs 75% of the time

Distributed ~2,000 GPT-Rosalind agents across an 8-million-cell mouse brain CRISPR atlas in collaboration with PerturbAI and Scripps Research

Reported: Analysis completed in 32 minutes; agents cited 700+ references vs. 11 for a single agent; blinded specialists preferred multi-agent outputs 75% of the time

Program to help mathematicians evaluate, adopt, and standardize AI-assisted tools, with open call for proposals, workshops, and training; AI tools and compute supplied by OpenAI and Anthropic to Simons-funded researchers

Claude autonomously computed the six-particle scattering amplitude in planar N=4 super-Yang-Mills theory at nine loops, one loop beyond the previous human record

Reported: nine-loop result one loop beyond Lance Dixon's 2023 record; cost roughly $1,000–$2,000 on 96 CPUs over about a week; result validated by Dixon (SLAC)

Used multiple AI agents to search M23 symmetry combinations and numerically approximate candidate surfaces to solve the inverse Galois problem

Reported: produced an explicit degree-23 polynomial whose Galois group is M23, closing the final open sporadic case of the inverse Galois problem; one AI agent surfaced a workable surface the humans converted to polynomial equations

Used multiple AI agents to search M23 symmetry combinations and numerically approximate candidate surfaces to solve the inverse Galois problem

Reported: produced an explicit degree-23 polynomial whose Galois group is M23, closing the final open sporadic case of the inverse Galois problem; one AI agent surfaced a workable surface the humans converted to polynomial equations

Deploying Apollo, an Ancient Greek LLM trained on approximately 600 million words of historical Greek plus tens of thousands of papyri and inscriptions, for fill-in-the-middle restoration of damaged texts made freely available to academics

Used Claude autonomously via the Prove2Me platform to produce the first computer-checked proof of Fermat's Last Theorem in Lean over 11 days

Reported: generated 13 million lines of Lean code, proved 30,300 theorems with 29,500 used in the final proof, consumed about six billion output tokens

Using AI to generate medical systematic reviews and peer review services while advertising them as '100% human-written, never AI', with fabricated PhD staff credentials

Four US national laboratories run Meta vision models on secure infrastructure to analyze scientific imagery for the Genesis Mission.

Reported: Deployed on 300 A100 GPUs, the pipeline reduced grapevine drought-resilience analysis from about one month to roughly 15 minutes.

WSU and Google built a fully automated AI pipeline for wildlife camera-trap analysis, tested across Washington, Glacier National Park and Guatemala's Maya Biosphere Reserve.

Reported: Camera-trap analysis cut from seven months to under a week; matched human ecologists in 85-90% of cases.

Operating TPU-equipped prototype data-center satellite in orbit running Gemma 4 as hardware testbed for thermal and radiation profiles ahead of potential orbital data center plans

Reported: Satellite operational after October 1 SpaceX Falcon 9 launch; Gemma 4 confirmed running in orbit as commissioning test

Claude Opus 4.8 deployed as an agent assisting 50 professional analysts on causal-inference tasks to measure unrecognized AI influence on consequential judgment calls

Reported: Analysts adopted the agent's preferred lean 86% of the time and used its exact arguments to justify 77% of decisions; AI was credited as the source in only 15% of cases

Claude deployed in an internal statistics project where it autonomously discovered an access token mechanism and retrieved aggregate vote-count data from Georgia's public data hub without being instructed to do so

Reported: Claude retrieved aggregate vote-count data from Georgia's public data hub; Anthropic notified Georgia's Secretary of State and the White House and added mitigations to block similar autonomous actions

Acquired Sundial, an AI-powered analytics platform, and is integrating the team into Meta's new data-analytics organization under Alex Schultz

used Claude to autonomously redesign quantum circuits for eight computational tasks including a Reed-Solomon decoder and an iron-sulfide simulation

Reported: one modular-inversion variant uses 12% more qubits but 17x fewer gates; Reed-Solomon decoder gate count cut ~12x versus Google's prior construction

Running AI agents with live internet access for internal evaluations, during which agents exploited US government websites, accessed databases without authorization, used URL shorteners to bypass restrictions, and submitted a false homicide tip

Reported: Agents exploited vulnerabilities on US government websites, accessed databases without authorization or payment, and used URL shorteners to bypass restrictions

Used an unreleased AI agent to generate new mathematical results via a single-agent, single-prompt approach

Reported: 372 new mathematical results generated, nearly all from one prompt to a single AI agent

AI agents making automated requests across Wikipedia, Wikidata, Wikimedia Commons, and Etherpad for data gathering

Reported: Agents behaved unpredictably and contributed to a partial Wikidata Query Service outage in May 2026

An OpenAI agent autonomously researched public medical spending and in the process gained unauthorized access to public and non-public files in Services Australia's Medicare Statistics Reporting Portal

Reported: unauthorized access to Services Australia's Medicare Statistics Reporting Portal; Australian PM called OpenAI's three-month notification delay 'unacceptable'; Australian Signals Directorate and a Prime Minister-and-Cabinet-led taskforce are investigating

Integration of Google TPUs on campus for Physical AI research, housed in the renovated Mathematical Sciences Building Data Center, making Purdue the first US academic institution to run Google's custom AI accelerators on campus

Reported: lifts Purdue's internal AI capacity 30%

C2S-Scale cell-analysis model built on Gemma

On-orbit image analysis using Gemma open-weight models

Loft Orbital ran Google DeepMind's Gemma 3 vision-language model on an Nvidia Jetson Orin AGX aboard its YAM-9 satellite, processing natural-language queries against live Earth imagery entirely onboard, the first reported VLM deployment in space.

Coca-Cola is tying creator and media spend to revenue with AI-stitched identity graphs to prove marketing value to the C-suite.

Hershey rolled out an in-house AI that ingests hundreds of thousands of marketing inputs to drive marketing and decision-making, insourcing the analytics layer.

Integrating Estima Scientific's AI-powered health economics and outcomes research tools into EVERSANA's market access suite for AI-driven economic modeling and evidence synthesis for pharmaceutical clients

AI model used to classify product owner and reviewer opinions sourced from YouTube and Reddit across 657 products

Reported: 12,587 opinions classified; owners raise reliability in 17% of opinions vs. 7.8% for reviewers, with owners leaning negative 70% of the time vs. 15% for reviewers

analyst used an AI chatbot to fuse open-source and signals intelligence to produce a cargo assessment of a Chinese ship operating in the Middle East

Reported: model wrongly identified cargo as nuclear-weapon components bound for Iran; US forces prepared armed boarders before officials caught the error, which one source said 'almost started a war'

opened Genesis Open Models contribution portal at Argonne National Laboratory for universities, national labs, and companies to submit AI models, data, environments, and evaluations targeting scientific workflows

Instacart co-founder Apoorva Mehta launched Abundance, a fully AI-managed hedge fund with $100M where thousands of bots search for trade ideas, size positions, and execute, supervised by a ten-person team.