“On average, each result used three hours of ChatGPT Pro thinking compute with that model. Over the course of the evaluation, the model was posed approximately 4,000 problems.”

That leaves a lot of ambiguity. Is “result” exclusively “positive result shown here” or “all results”?

Since proving infeasibility is a valuable result, the unpublished problems must not have reached a valuable end state. Thus it’s an operator decision of when to turn the machine off and try another problem. I’d thought they had a three hour time box on this, but apparently not.

It makes solving advanced math problems feel like cracking a hash. If it's possible, it's just a matter of compute time.

More detail at https://deepmind.google/models/synthid/

For those who, like me, were hoping it was a vision model to identify synthesizer models from photos of concerts and music studios!

https://github.com/raullenchai/Rapid-MLX

“In short, the great disinvitation is real, and we can’t wish or explain it away by arguing that Americans are just finding new ways to be with friends.”

Personally I think these companies suck. Just need more work to make a strong good faith argument about it.

https://status.claude.com/ says:

Elevated errors on claude.ai, Claude Code, Claude Cowork and the Claude API Subscribe Update - We are investigating reports of degraded performance affecting claude.ai, platform.claude.com, the Claude API, Claude Code, and Claude Cowork. We will provide an update as soon as possible. Sep 29, 2026 - 14:30 UTC Update - We are investigating elevated error rates affecting Claude.ai (including the desktop and mobile apps), Claude Code and Claude Cowork. Some requests to the Claude API are also returning errors. We will provide an update as soon as possible. Sep 29, 2026 - 14:28 UTC Investigating - We are investigating elevated error rates affecting Claude.ai (including the desktop and mobile apps), Claude Code and Claude Cowork. Users may see failed requests, errors loading or sending conversations, or be asked to sign in again; retrying may succeed. We will provide an update as soon as possible. Sep 29, 2026 - 14:21 UTC

https://en.wikipedia.org/wiki/Voronoi_diagram

- the product category is long lived

- switching costs are low for buyers

- there are objective standards of quality

- product imitation costs are low

https://insight.kellogg.northwestern.edu/article/the_second_...

Let’s consider those criteria for an individual competing in the labor market with AI. The category should be long lived, AI is here to stay. Switching costs (here, hiring/firing by employers/clients) are low. Objective quality standards fails; technical labor is notoriously difficult to quantify. Imitation costs (can you copy someone else’s good ideas) are moderate but decreasing. That’s where model and tooling improvement shows up.

Based on this analysis, I agree that late movers are well positioned IF the market leaders continue to improve models and tooling to integrate best practices that were previously individual skills.

Early movers should exploit the lack of objective standards. Use your experience with the first generation of tools as marketing to win and retain clients. Continue to invest in soft skills like communication.

Inconsistent & confusing if so.

Bonus points for an intelligent way to manage these stored in OneDrive and other cloud folders. Easy to get corruption on SQLite files stored there.

https://en.wikipedia.org/wiki/.me

This seems fine to me. It would be a better world if we could have anonymous bulk data access. But if aggressive scrapers are bloating host costs, I’m fine with logging in.

Now, the flip side is that ONCE logged in, I want my bulk access. The worst of all worlds with when you demand authentication and then STILL block bulk access.

Case in point, I want to automatically download my Amazon and Target order records. This is easy to automate with playwright or whatever, but authentication stays annoying. My sessions expire quickly and I have to re-auth all the time. There should be an API to pull this data down.