Whether QE is a mechanism in the brain still seems up for debate from the quick literature review I tried, but would love to learn more.

Given the pace of quantum computing it doesn’t seem out of the realm of possibility to “wire up” to LLMs in a couple years.

Is this not a tool that could be readily implemented and refined?

I like this mental model. Orchestration / Agents and using smaller models to determine the ideal tool input and check the output starts to look like delegation.

Watch it turns out you can tune the FP rate like how casinos can set the win rate on slot machines.

Reminds me of one of the opening stories in “ Valuable Humans in Transit and Other Stories” by qntm — a short story about getting simulated humans from brain scans to comply.

The thing I love the most about HN is that there's always someone suggesting a random book I never heard about. Thank you!

recent paper on “ How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks” [1]

[1] https://arxiv.org/abs/2507.01955

A bad culture can emerge with tooling first or meeting first cultures.

Let’s see — Apples track record of interoperability isn’t great unless dragged by regulatory bodies. Managing private emails at scale to migrate away from Apple for instance is wildly painful.

Thank God the jacket button is protected then.

They’re doing a great job losing it so far.

Losing what, exactly? I do notice they seem to lose the hype battle—and my perception is that OpenAI acquiring Jony Ive’s startup gets more traction than Google Nobels—but I think with their foundation they can play on a different time horizon, so I am not sure how much they should care about that.