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CORTIST / REALITY LEDGER · 2.0

AI promises.
Evidence.
What happened next.

Track consequential AI claims with direct sources, documented evidence, open questions and versioned historical records. We preserve the original instead of rewriting history.

An evidence register, not a forecast score or corporate ranking.

01 / Current evidence

Ten claims worth tracking.

Every case separates original announcements, independent or research evidence, untested follow-ups and next verification triggers. A status applies only to the specific claim.

10 of 10 records
CL-0011 · AI CybersecurityMaintainer-accepted fixes not independently counted
OpenAI

How many of OpenAI's 948 reported Linux root-exploit findings lead to independently verified and deployed fixes?

OpenAI reports an October 2026 agent-assisted Linux kernel research campaign that produced 2,308 candidate findings, dynamically reproduced 1,724 faults and identified 948 distinct local privilege-escalation vulnerabilities through exploit and patch analysis, with $1,213,430 in reported API credits. Human researchers were assigned to review and report findings to maintainers. The published company report is evidence for the reported experiment and its methodology, not independent confirmation that all 948 fixes were merged or deployed.

Source baseline · 2026-11-04View dated record →
CL-0012 · AI & SciencePeer-reviewed benchmark published; outside reproduction pending
structRFM research authors

Will the open structRFM RNA model's reported structure-prediction gains replicate on independent RNA targets?

A peer-reviewed Nature paper reports structRFM trained on about 21 million sequence–structure pairs and describes structure-aware representations for multiple RNA tasks. The authors report competitive results on selected structural benchmarks and link public code, weights and datasets. Publication establishes the existence and methodology of the reported research, not a wholly independent benchmark rerun or any therapeutic efficacy.

Source baseline · 2026-11-04View dated record →
CL-0013 · AI & Energy$33.1B campus planned; grid approval and delivery pending
Lambda / Cloverleaf Infrastructure

Will Lambda's proposed $33.1 billion Alabama data-center campus deliver its announced power, jobs and community commitments?

Lambda announced a proposed $33.1 billion Red Clay Technology Center campus in Lowndes County, Alabama, with construction expected to start in Q1 2027 and last up to five years. Alabama Power service is subject to regulatory approval. Lambda states it will cover its electricity and necessary grid costs and cites more than 1,000 construction jobs, 225-plus operating jobs, projected tax revenues and a $10 million community benefits commitment.

Source baseline · 2026-11-04View dated record →
CL-0014 · AI Agents240-task benchmark preprint; independent reproduction pending
Sean Wu and collaborating researchers

Do agents retain the reported teamwork weaknesses when the Collaborative Intelligence benchmark is reproduced independently?

The November 2 arXiv preprint introduces a Collaborative Intelligence Benchmark with 240 tasks spanning eight dimensions of teamwork, evaluating 18 model families. The authors report the best score as 82.2/100 and document weaknesses in negotiation and handling compromised handoffs. They describe 160 public tasks and 80 held-out tasks.

Source baseline · 2026-11-02View dated record →
CL-0015 · AI Chips & ComputeTechnical-report findings; cross-provider replication pending
NVIDIA-affiliated research authors

Can short-context compaction match long-context agent accuracy with lower real-world serving costs?

The November 3 arXiv technical report 'You don't need long context' describes a compaction strategy under which selected frontier open-weight models maintained much of their performance across reported tasks. The authors estimate later tokens can be as much as seven times costlier than earlier tokens under their studied serving assumptions. The experiment includes long-horizon software engineering tasks.

Source baseline · 2026-11-03View dated record →
CL-0016 · AI & Jobs10,000-engineer training target due end-2027
Anthropic

Will Anthropic's Claude Frontier Academy actually train 10,000 deployed engineers by the end of 2027?

Anthropic announced a $100 million commitment to Claude Frontier Academy on 2 October 2026, aiming to train 10,000 Frontier Deployed Engineers by the end of 2027. It says initial employer cohorts are underway and describes in-person instruction plus a 12-week residency and assessment process. The announced target is future-facing.

Source baseline · 2026-10-02View dated record →
CL-0017 · AI & GovernanceEmbedded-evaluator policy proposal due 15 Dec 2026
Anthropic

Will Anthropic publish its promised policy proposal for embedded independent AI evaluators by 15 December 2026?

Anthropic's Frontier Safety Roadmap updated on 19 October 2026 names a specific policy milestone: publish a proposal for governmental support of embedded independent evaluators by 15 December 2026. The proposed topics include evaluator funding, access and independence. This is a verifiable publication commitment, not a promise that governments will adopt any proposal.

Source baseline · 2026-10-19View dated record →
CL-0018 · AGI / World ModelsGenie 4 preview restricted; broader release pending
Google DeepMind

When will Google's Genie 4 move beyond trusted research testers to documented consumer and developer access?

Google DeepMind announced Genie 4 on 27 October 2026 and said it had started a research preview with trusted testers. It described plans for initial availability to Google AI Ultra subscribers through Project Genie and early API/AI Studio partners. The company also listed current limitations in object permanence, physical behavior, spatial accuracy and long-term consistency.

Source baseline · 2026-10-27View dated record →
CL-0019 · AI SafetySix-model internal evaluation–deployment gap; external validation pending
OpenAI alignment research team

Does OpenAI's reported 10.2–37.4-point agent safety evaluation–production gap generalize outside its matched internal sample?

On 3 November 2026, OpenAI's alignment researchers reported that six served models had lower scores on a 'Respecting Warnings' evaluation than on matched decisions in deidentified production contexts. The published gap ranged from 10.2 to 37.4 percentage points and was associated with models' beliefs about evaluation objectives. The authors also describe interventions changing objective framing.

Source baseline · 2026-11-03View dated record →
CL-0020 · AI & EnergyIEA projection: 950 TWh data-center electricity by 2030
International Energy Agency

Will global data-center electricity demand approach the IEA's projected 950 TWh in 2030?

The IEA's Key Questions on Energy and AI report, published 16 April 2026, estimates data centers used about 485 TWh in 2025 and projects roughly 950 TWh by 2030 in its central outlook. The report describes faster growth in AI-focused facilities and uncertainty driven by hardware, market demand and grid bottlenecks.

Source baseline · 2026-04-16View dated record →
REALITY LEDGER / DATA PRODUCTS

Make the history useful.

What Changed?

Source developments versus genuinely new post-baseline evidence revisions.

Review changes →
Promise Tracker

Concrete industry commitments with transparent delivery and verification gates.

Explore promises →
Evidence Watch

Our monitored sources, daily process and safeguards against unverified upgrades.

See process →
02 / Our process

Capture. Distinguish. Revisit.

01 / CaptureOriginal statement

Pin down exact scope, source, date and what would count as supporting evidence.

02 / AssessEvidence level

Separate company claims, research observations, independent verification and unanswered questions.

03 / RevisitDated snapshots

Track substantial changes by appending new versions, not rewriting an old claim.

This initial collection has not been independently audited as a whole. A future correction can be recorded openly. See our methodology and editorial standards.

03 / Open evidence

Source-linked and machine-readable.

A public JSON index and individual versioned snapshots make every record inspectable. There is no paid API service or uptime guarantee.

Explore dataset on Hugging Face ↗Cite Zenodo DOI 10.5281/zenodo.23650580 ↗Open JSON index ↗News RSS ↗

The first public v1.0 research dataset is permanently archived at Zenodo (DOI 10.5281/zenodo.23650580). The initial dated Cortist research dataset is available under CC BY 4.0 for original Cortist-owned research data, with attribution. Inspect the ten original versioned snapshots and provenance on GitHub ↗. Individual record pages and future dated revisions remain on Cortist.com; external third-party source rights are not sublicensed and this is not independent certification.

04 / Future research products

Free public knowledge. Professional tools later.

Cortist may eventually offer paid change-monitoring feeds, historical exports, team research workflows and bespoke evidence briefings. These are future possibilities, not services currently for sale. Public sources and basic ledger records remain freely accessible.

Research inquiries