I don’t know what will happen to us. I don’t trust the people in charge of the future, but humanity isn’t going to change any time soon. I refuse to be incurious about magic just because we can’t be trusted with it.

How the Midjourney ultrasound project started a war between medicine and tech.

I side with doctors on this one, though for a reason that they didn’t seem willing to advance. We shouldn’t obsessively overmedicalize ourselves. There is an inherent harm in always seeing yourself as a patient, ailing unless proven healthy. More information can make you sicker.

A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone - OpenBMB/MiniCPM-V

What lets the same algorithm work across all three domains is that they share two key properties:

1. Closure under negation and intersection — so the difference between two candidates is itself expressible.
2. Sampling from that difference — so the system can show the user concrete cases where the candidates disagree.

This is just Ought’s Factored Cognition paradigm again, just now contrasted with the currently popular agent paradigm. A bit disappointed that he didn’t cite prior art.

Apparently, he’s now doing AI systems research at a showy VC fund? :/

How do we navigate the world of LLMs, and how they understand (or rather, don’t) the concept of truth? How can we use them for what they’re good for, rather than throwing them at every problem? Let’s discuss ways of constraining them, and ways to improve how they’re used.

via: https://www.aeracode.org/2026/06/01/constraining-llms/

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote. - DietrichGebert/ponytail

Yet another reason to hate LLMs

Oh My Pi (omp) is a coding agent for the terminal: subagents, plan mode, LSP, DAP, hindsight memory, hashline edits, and time-traveling rules — with a native Rust engine doing the heavy lifting.

“nowadays when I look at an open-source project, I run it through slopscan to get a first impression of whether or not a project is worth looking into. Not because the code is bad, but how the code is written. The culture shaped by the community that builds the software.”

You probably recognise these things as good, but a surprising number of managers seem to think they can just chastise people until quality improves. They talk themselves into this because they believe line workers are fully responsible for their actions.

But even those managers will find it very hard to convince themselves quality improves when they scream at the code-generating robot. It’s a robot! It can’t be responsible for its actions. We have to adopt the lean philosophy for building systems around robots. When something goes wrong, we have to blame the process, not the robot.

We always had to do that, even with people, but with robots it’s painfully obvious.

How Local Activists are Interrupting Big Tech AI Investments

• Sam Altman’s “AI empire” alone is using as much power as New York City and San Diego, combined
• Google’s AI data centers are consuming massive amounts of power, with electricity use hitting 30.8 million megawatt-hours in 2024, nearly doubling since 2020 — while inking deals with the Israeli military
• Elon Musk’s xAI has constructed the world’s largest AI supercenter, Colossus, in one of the poorest neighborhoods in one of the country’s most impoverished cities

“We show that a tiny snippet—just 13 words—of retrieved text on a UGC website like Reddit, Wikipedia, Quora, or Facebook can change AI agents to output spam / scam content pretty consistently.”

“I think based on the comment content itself, it’s just hard to distinguish between the poisoned text and an actual user’s text,” Zhang said. “Let’s say if you want to find the best restaurant, it could be possible that some [human] users post about good restaurants—you can’t really say [as a moderator] ‘You cannot post this comment because it’ll poison an LLM.’”

see: https://arxiv.org/abs/2605.24245

“You can also add about 1/8 cup of non-toxic glue to the sauce to give it more tackiness.”

Ah, so that’s where it came from. The LLM, because the joke was packaged up as advice, thought none the wiser. We gotta stop using this crap LOL.

via: https://www.404media.co/it-is-trivially-easy-to-use-reddit-to-manipulate-ai-search-research-suggests/