The Impact of AI

The Impact Tracker

Follow AI claims as the evidence changes.

A living ledger of announcements, studies and observed outcomes. Each record keeps its sources, uncertainty and human impact attached—so a claim can be checked again when new evidence arrives.

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1155Tracked records
1842Direct sources
188Multi-source / original
41Updated records

Announced

The record is anchored in a primary statement, filing or official publication. Outcomes remain attributed until independent evidence appears.

Studied

A research method and measured result are available. Transferability, replication and real-world performance may still be unresolved.

Observed

Independent reporting or documented real-world evidence is available. The record still preserves limitations and competing explanations.

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Evidence records

Showing 1155 of 1155

IAI-1B8S033AnnouncedSupportedMonitoring

Can an AI agent call every app on a phone? China’s new network-access notice puts consent and compatibility first

China's telecom regulator has issued a four-part control framework for phones, tablets and wearables with pre-installed agents. Developers must document compatibility; manufacturers must report major and over-the-air changes; and app platforms are told not to let agents force access without a developer declaration.

TechnologyReleased 7 Nov 20262 direct sources2 source typesMulti-source analysis

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IAI-0U8FEDWAnnouncedSupportedMonitoring

Will every robot made in China get a permanent identity code? A draft proposes ‘one machine, one code’

A five-page consultation would require manufacturers of industrial, service and special-purpose robots made in China to register products, mark every unit before factory release and file the used code within 20 working days. It is not yet a final rule.

Government & PolicyReleased 7 Nov 20263 direct sources2 source typesMulti-source analysis

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IAI-0IIH92LStudiedSupportedMonitoring

Can AI models answer infectious-disease pharmacy exams? Five scored near 90%—but images and harder reasoning exposed gaps

A peer-reviewed comparison gave five commercial language models the same 227 questions from one US Doctor of Pharmacy course. Overall scores clustered between 89.4% and 91.2%, while image questions and the highest Bloom category were materially weaker.

Health & Life SciencesReleased 7 Nov 20261 direct source1 source typeSource analysis

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IAI-195YW10AnnouncedSupportedMonitoring

What will Japan's emergency cyber package change—and where does AI fit?

Japan approved ¥10 billion for immediate cyber measures after repeated intrusions and data leaks. The package funds AI-assisted vulnerability checks and creates new response teams, but most capabilities still have to be built and independently tested.

Security & DefenceReleased 7 Nov 20264 direct sources2 source typesMulti-source analysis

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IAI-14VQDUAStudiedCorroboratedMonitoring

Can thermodynamics show what an AI learns about event order? A new measure found a signal—but not causal understanding

A peer-reviewed framework estimates time-direction asymmetry in autoregressive generators without enumerating every history. GPT-2 and Qwen3-4B-Base assigned larger sentence-level irreversibility to causally ordered text in limited tests, while token-level results were dominated by syntax.

Science & ResearchReleased 7 Nov 20263 direct sources2 source typesSource analysis

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IAI-13EELGGStudiedSupportedMonitoring

Can two defences stop hidden backdoors in fine-tuned AI? Lab attacks fell sharply—but real compromised models were not tested

Two NeurIPS-accepted studies attack the problem at different stages: null-space projection repairs suspect LoRA adapters, while expert quarantine changes training so triggered behaviour can be switched off. Results span constructed attacks and open 7B–13B models, not production supply chains.

Security & DefenceReleased 7 Nov 20263 direct sources2 source typesMulti-source analysis

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IAI-1V7S8FXStudiedSupportedMonitoring

Can a cheaper AI API relay change what you get—or what you pay for? A 20-service audit found warning signs, not proof of fraud

Researchers saw answer-pattern differences, unexpected tool calls and five services reporting thousands more input tokens than the official APIs for identical requests. But the non-random, two-round audit could not see which models or wrappers ran behind each relay, and its price-group comparison did not reach conventional statistical significance.

TechnologyReleased 7 Nov 20262 direct sources1 source typeSource analysis

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IAI-1VCM6M5ObservedSupportedMonitoring

Xinhua’s AI-and-media blue book maps 3,800 cases—but does not publish a reproducible review method

A same-day Chinese report assembles newsroom examples and surveys from around the world, arguing that AI is becoming media infrastructure rather than a stand-alone tool. Its practical warnings about skills, verification and unequal access matter, but its case count, provider claims and in-house efficiency figures cannot be treated as an independent measurement of what works.

Society & MediaReleased 7 Nov 20264 direct sources1 source typeMulti-source analysis

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IAI-1657TDTObservedCorroboratedUpdated

What will the new US AI task force actually decide?

The White House task force still lacks a published charter, but the Justice Department has now released a related internal memorandum covering investigations, charges and enforcement guidance. It coordinates DOJ work without creating a new offence, enforcement power or enforceable right.

Government & PolicyReleased 4 Oct 20268 direct sources3 source typesMulti-source analysis

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IAI-0MAMDBZStudiedCorroboratedMonitoring

Can AI formalize mathematics without humans reading every proof? AutoIP shifts the review burden to statements

An unreviewed three-country project used Claude agents to build a 35,562-line Lean library for inverse-problem theory. Lean checked every proof, while deterministic tests exposed one textbook theorem whose hypothesis was far narrower than it appeared—but fewer than half the stated theorems had direct author review.

Science & ResearchReleased 7 Nov 20263 direct sources2 source typesSource analysis

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IAI-0HKZY4CAnnouncedSupportedMonitoring

What changed in Google’s Gemini Omni 1.2 video model? Longer clips and lower prices arrived without an independent quality test

Google made its video-generation and editing model generally available at $0.07 per second for 720p output, 30% below the previous version, and extended native clips from ten to 15 seconds. The release is broad and practical, but its quality claims rely on selected demonstrations and customer quotes rather than a published comparative benchmark.

TechnologyReleased 7 Nov 20264 direct sources2 source typesSource analysis

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IAI-0PEZGFKAnnouncedCorroboratedMonitoring

Do India’s new AI audit guidelines create binding rules? They set a four-tier framework—but legal force is unclear

CERT-In's 107-page framework grades AI systems by impact, autonomy, data, scale and other risks, then links each tier to stronger audit expectations. It is the agency's most detailed AI-audit playbook yet, but the document does not identify a legal basis, start date or penalty for non-compliance.

Security & DefenceReleased 7 Nov 20265 direct sources2 source typesMulti-source analysis

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IAI-1Q4GCGBAnnouncedDevelopingMonitoring

Can AI agents read routine wet-lab evidence? A 100-task benchmark left Astra short of full credit

OpenAI's GPT-6 Astra earned 66.7% of available credit at xhigh effort across gels, microscopy, sequencing and other raw evidence, versus 43.8% for GPT-5.6 Sol. The company benchmark shows progress, but its own examples still include wrong controls, reversed interpretations and inaccurate colony counts.

Science & ResearchReleased 7 Nov 20261 direct source1 source typeSource analysis

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IAI-13ZYJTTAnnouncedSupportedMonitoring

Can AI-agent teams detect a saboteur? In Anthropic's game tests, almost never

Four-agent teams coordinated complex missions in EVE Frontier, but a prompted saboteur usually blended mistakes with plausible excuses. Separate message-only monitors detected 20–40% at a 5% false-accusation setting, while simulated traders exposed different weaknesses in risk-taking and market prediction.

AI Risks & SafetyReleased 7 Nov 20262 direct sources2 source typesMulti-source analysis

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IAI-1JPENCRAnnouncedSupportedMonitoring

Does more memory make AI agents better? Anthropic's tests found useful gains—and costly overgrowth

Persistent notes improved one 30-question benchmark, while a wiki built over 128 sessions helped with some multi-document questions. But stored knowledge could become stale, overwrite itself or grow larger than the source material, making selective memory and verification as important as recall.

TechnologyReleased 7 Nov 20262 direct sources2 source typesMulti-source analysis

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IAI-0U90QUVAnnouncedSupportedMonitoring

Will Norway end short take-home exams because of AI? An expert panel recommends it—but no rule has changed

A national inquiry says short, unsupervised take-home exams are increasingly unreliable when generative AI is readily available. It recommends more controlled written and oral assessment, wider AI competence and strict conditions before automating grade explanations, but the proposals are advisory and now enter consultation.

EducationReleased 7 Nov 20262 direct sources2 source typesSource analysis

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IAI-0O7RAQIStudiedSupportedMonitoring

Do AI scribes help equally across patient languages? A 209,009-encounter study found uneven associations

Same-day note closure was 10.2 percentage points higher with an AI scribe in non-English language-concordant visits and 1.7 points higher in English visits after adjustment. Interpreter-mediated estimates were too imprecise for a conclusion, and the study did not test note accuracy or patient outcomes.

Health & Life SciencesReleased 7 Nov 20261 direct source1 source typeSource analysis

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IAI-1V3TD81StudiedSupportedMonitoring

Did AI break RSA? It accelerated two attacks on legacy 1024-bit settings—not modern 2048-bit encryption

DeepMind agents helped reproduce a restricted signature attack in 391 CPU core-years and derive a cheaper theoretical method for factoring many same-size keys. Both papers are working drafts, and neither demonstrates a break of today's mainstream RSA deployments.

Security & DefenceReleased 7 Nov 20263 direct sources2 source typesMulti-source analysis

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IAI-1UHRE1NStudiedSupportedMonitoring

Did AI scientists beat human research 74% of the time? Only inside ten scaled-down paper environments

Scientist World converted 1,000 papers into executable tasks, but its headline comparison ran frontier agents on a fixed ten-environment cohort. A positive score meant beating the reproduced method on hidden metrics—not validating a new scientific discovery.

Science & ResearchReleased 6 Nov 20261 direct source1 source typeSource analysis

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IAI-0DHYW0JStudiedSupportedMonitoring

Can a robot know it is about to fail? A 3,180-episode probe helped, but calibration weakened on new tasks

VLA-Tug read a robot policy's internal states and often raised earlier, more informative alarms. Its guarantees held on exchangeable seen episodes; under unseen-task shift, target rates failed in some runs and steering remained heuristic.

AI Risks & SafetyReleased 6 Nov 20261 direct source1 source typeSource analysis

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IAI-1G24UYKStudiedSupportedMonitoring

Can a coding-agent benchmark become wrong after release? 28 of 89 Terminal-Bench tasks needed repair

An audit of Terminal-Bench 2.0 found instruction mismatches, dependency drift and resource failures. The repaired 2.1 release kept the broad ranking but shifted individual scores by as much as 12 points and positions by three places.

Work & SkillsReleased 6 Nov 20261 direct source1 source typeSource analysis

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IAI-1PI3GCGStudiedSupportedMonitoring

Can hidden AI swarms search science faster? One GPU beat three text-based systems on a 21-problem benchmark

SwarmEvolve let many agents exchange internal model states instead of prose and led the average score with three Qwen3 sizes. The study used only three seeds per problem, automatic evaluators and compatible open-weight models.

Science & ResearchReleased 6 Nov 20261 direct source1 source typeSource analysis

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IAI-051H275StudiedSupportedMonitoring

Can AI agents move whole ML projects to new hardware? Only 44 of 140 migrations passed

Seven coding agents tried to convert 20 PyTorch repositories to JAX on TPUs. The best passed 15; every other agent passed nine or fewer, and list-price cost ranged from $10 to $1,844 across each agent's 20 attempts.

Work & SkillsReleased 6 Nov 20261 direct source1 source typeSource analysis

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IAI-1XRT8QEStudiedSupportedMonitoring

Can an AI patient model plan ICU capacity? It preserved history—but the queues were simulated

A model trained on MIMIC-IV generated alternative ICU trajectories and reproduced one 24-hour recovery contrast missed by compact state models. Staffing, arrivals and service times were scenario assumptions, not measured hospital workflows.

Health & Life SciencesReleased 6 Nov 20261 direct source1 source typeSource analysis

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Public methodology

A status, not a secret score.

The tracker does not rank stories with a mysterious percentage. Its stage comes from the kind of evidence available; its confidence band reflects source count, source diversity and the presence of independent research or reporting. Reporting labels also distinguish a single-source analysis from multi-source or original work.

Every record exposes its source trail, people impact, limitations and next verification question. When evidence changes, the record can be updated without erasing what was known when it was first released.

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