Links: kpmg.com/ca/en/insigh... techcrunch.com/2026/06/13/k... aitrustcontrol.com
Kate Kaye
Tracked through public AI activity and peer connections inside the directory.
- AI signals
- 1 past 30d
- Sources
- 1 distinct domains
- Discussions
- 5 past 30d
- Latest signal
- 7d ago
Articles & links
If you're angry about brain rot from the AI-generated slop infiltrating a place fueled by human-generated slop, perhaps reconsider your priorities. www.kapwing.com/resources/th...
Since idea of everyday joes sharing in AI profits is in news now, I thought I'd share this thoughtful, well-informed and at-times hilarious analysis of OpenAI's 'industrial' policy approach from @edwardongwesojr.com and @jathansadowski.com which pokes all the holes. As usual I…
- This Machine Kills episode 453 examines OpenAI's April 2026 industrial policy report proposing a public wealth fund and a four-day work week.
- Critics at TechPolicy.Press called the document a 'policymercial,' noting OpenAI opposed California's SB1047 while now proposing similar safety measures.
- OpenAI's superalignment research team reportedly received only 1-2% of its promised compute before key figures Jan Leike and Ilya Sutskever departed.
Still pissed Axel Springer killed the Protocol domain, but here's that story, part of a big series I did with others at Protocol interrogating the US v China AI race narrative. web.archive.org/web/20221106...
Links: kpmg.com/ca/en/insigh... techcrunch.com/2026/06/13/k... aitrustcontrol.com
Opinions? Just a quick one minute listen - I'm playing around with a possible theme for my Trust Control podcast. Is this TOO UNSETTLING for every episode? Thinking of doing alternative versions and easing into this one in a later episode that's also a bit more unsettling...
A few years ago while covering AI and data for the now-defunct Protocol, i dug into systems like this, how they're built, and potential problems: web.archive.org/web/20221116...
Recent commentary
Some of most influential research inspiring computational trust models (how computers 'measure' trust for AI agents & even how human worker trustworthiness is scored in relation to agents) was directly inspired by a 1930s method to measure 'aesthetic merit.' It ranked square #1, swastika #41, etc.
In Kate Kaye's orbit
Center = Kate Kaye. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.