Tootfinder

Human Archive, which trains robots using first-person video from 1,000 camera-equipped caps worn by Indian home services workers, raised $8.2M from YC and more (Ivan Mehta/TechCrunch)
https://techcrunch.com/2026/05/26/human…

This startup is betting India's gig economy can train the world's robots | TechCrunch
Human Archive, a startup founded by UC Berkeley and Stanford researchers, is paying gig workers in India to wear camera-equipped caps and sensor devices to collect the real-world physical training data that AI and robotics labs are racing to acquire.

That will be a first:
I wrote a contribution to a Festschrift for the retirement of the director of our school. To be published with deGruyter. Yes, I know, I know. But we also publish our textbook with them, so, OK. And it’s OA, at least
Last week the Contributor Terms Agreement came. WTAF! I deleted several phrases and whole paragraphs. Expecting either no reaction or forcing me to withdraw the article
1/2

So one of the authors is Nicholas Carlini, who works for Anthropic. This is basically an ad for the three letter agencies to use Claude. It massively over-promises compared to what the actual paper says.
But, it is important. First, this is really about silencing people. The threat of identification is designed to make people afraid to talk online. There's a massive asymmetry between the fascists and the people. The fascists are weird racists and pedophiles who are obsessed with control. No one likes them. No one likes their ideas, because their ideas are creepy and bad.
When they talk about their ideas, that people should be murdered or kidnaped based on their skin color, that there should be a national dress code, that people's sex lives should be monitored, that children should be treated like objects that are owned by the parent (specifically, one parent), that people with different skin color or uteri should be considered as livestock, people fucking hate it because it's awful. When we talk about our ideas, that everyone should be able to eat and take care of themselves, that people who can't take care of themselves should be taken care of, that we should live in a society that values life, that we should live in harmony with nature, people like those ideas. When fascists out us for talking about those ideas, people support us. When we out people who are working as fascist goons those people have to face social consequences.
Everyone hates these people. The US government is currently less popular than it has ever been. The only way they can keep power is by making everyone think that they aren't extraordinarily unpopular. The only way to do that, the way authoritarian have always done it, is to make everyone afraid to talk.
But, yes, what this paper is saying is actually kind of bad. It looks like people who don't take any precautions at all in separating identities can be identified about 30% of the time (based on the results). It's unclear how this will actually work in the real world. Larger corpses will probably have more data, making connecting things easier.
This isn't as good as a human trying to dox someone. It's not going to work as well. It may only work in a small number of cases. There will be false positives (just like there are with people doing the work). It's probably not cheaper than hiring people. But it does mean that you can just dump money into a machine that has no ethical framework and get data out. That's the point. It's hard to find humans who will do evil shit like help dictatorships target human rights activists, but if a machine can do it for twice the price then it's a better deal for the dictatorship.
For most people, you just shouldn't care. This isn't for you. As long as you keep doing what you're doing, and you can keep everyone else doing what they're doing, then there aren't enough resources to actually target you. Even if they know who you are, there are just too many people who hate them and too few goons.
For people who might actually be targeted, there are a lot of things. First, keep in mind what you're putting into anonymous accounts. Any feature that's connected to your real life is a feature that can be extracted to identify you. This has always been true, it just may be easier to find now. Your identities should be totally siloed. It's also harder to identify you if you're writing anonymously as a collective. Collectives are better anyway because they can help check your thinking. When you write as a collective, you can help clean up each other's personal details and language. A collective develops its own voice, which is distinct from individual contributors. If you do this, and you also present your work as being from one "person," then it becomes even harder for anyone (systems or individuals) to really figure it out.
I'm not going to do a full deep dive on this because I just don't have time, but your existing threat model should *already cover these threats* if you need to make sure your writing remains anonymous.
This paper doesn't present any novel methodologies. It just extracts a bunch of features, which a human would extract as notes, and tries to correlate those between identities, which is how human researchers work. Linguistic forensics were mentioned (not by name) in the paper, but the actual methodology doesn't actually seem to use them.
So a thing with less ethics can do a worse job for more money (when adjusted for the real, not investor deflated, price of tokens). It's worth knowing. It's not the end of the world, but it is a good reminder to check your threat model and make sure it's up to date.

AI sales company Yuzu Labs founder Emmie Chang admitted to the WSJ that she records most of her first dates by putting her phone on the table or chair.
Afterwards, she asks Anthropic’s Claude how the date went, wondering if she could be “more engaging or empathetic.”
It’s a baffling new trend that highlights how pervasive AI and surveillance have become in our daily lives, particularly for those working in tech.

People Are Starting to Record Every Conversation They Have Without Disclosing It, and It's Gross
People in tech circles are carefully recording every single conversation they're having — not just at work but in their private lives as well.

Germany's Black Forest Labs launches Flux 3 and Flux-mimic, its first models for robotics, as it expands from generative AI into physical AI (Yazhou Sun/Bloomberg)
https://www.bloomberg.com/news/articles/2026-0…

If you need to remove a bottle cap from a bottle but all you have handy is another bottle cap will it work to remove the bottle cap from the bottle?
Yes. But... it may be messy.
(This toot brought to you by a person who had a cat sitting on them but forgot to grab a bottle opener before they sat down.)

Which Model Is Actually Serving You? IRIS: Budgeted Black-Box Auditing of Model Substitution and Routing Dilution in LLM Gateways
Yuewei Zhang, Zhi-Hai Zhang, Hanzhang Qin
https://arxiv.org/abs/2607.20860 https://arxiv.org/pdf/2607.20860 https://arxiv.org/html/2607.20860
arXiv:2607.20860v1 Announce Type: new
Abstract: Commercial LLM gateways mediate access to hosted models, but the served backend may not match the advertised one: it may substitute a cheaper model on every request or route only a fraction $\epsilon$ of requests to it. Prior black-box auditors often need a privileged signal (log-probabilities, token ranks, or reference samples) or a target-specific probe, fix the query budget in advance, and return a yes/no verdict. We present $\mathrm{IRIS}$, an audit that needs only the returned text: it asks endpoints to generate random numbers or strings, fingerprints the backend, and is the first to combine, in one text-only audit, detection of whole-stream substitution and fractional dilution, attribution of the served backend, routing-fraction ($\epsilon$) estimation, and a query budget it sizes itself. A cheap pilot fits the exponential query-error decay and freezes that budget before any suspect query is issued. On an intra-family Qwen3 ladder $\mathrm{IRIS}$ verifies the backend at $0.99$ AUROC and sharpens attribution as queries accumulate; across a commercial OpenRouter library it catches $\epsilon{=}0.3$ dilution on margin-qualified pairs at $0.85$ mean power ($0.017$ false-positive rate) and recovers $\epsilon$ to within $0.04$ for enrolled diluents; and a live cross-provider audit flags $14$ of $15$ same-model provider pairs by genuine quantization and kernel deviations, corroborated on third-party MET traces. Against comparable black-box auditors, $\mathrm{IRIS}$ matches or beats detection on shared tasks, and adaptive allocation lifts the matched-budget target-hit rate from $73$% to $87$%. Further experiments cover adversarial gateways, knob identifiability, unseen diluents, and false-positive control.
toXiv_bot_toot

I saw this and I instantly thought of @… because somehow he had become the most salient reference node for revolting arthropods and we all know why.
https://www.instagram…

Pelfs Pets on Instagram: "To answer some questions from the first reel! No, she will not eat these babies and she will not be eaten by them. Only a very few South American species practice matriphagy and she is not one of them. Yes, she will spend every last second from the time she lays eggs until they molt and leave her standing gaurd protecting and constantly cleaning them. At this stage mold growth can take them out very easily and thats why you see her constantly licking them clean. We have about 20 more days before their first molt and then theyll start wonder away from her. Thats when I'll separate them all and give them their first meal!!! Thanks for watching please feel free to ask questions and LIKE SHARE AND FOLLOW for more amazing centipede content!!!"
18K likes, 277 comments - wvcentipedeguy on May 31, 2026: "To answer some questions from the first reel! No, she will not eat these babies and she will not be eaten by them. Only a very few South American species practice matriphagy and she is not one of them. Yes, she will spend every last second from the time she lays eggs until they molt and leave her standing gaurd protecting and constantly cleaning them. At this stage mold growth can take them out very easily and thats why you see her cons…

blog about yak shaving appears to be illustrated by a heilan coo so obviously i get distracted trying to confirm my first impression
(it doesn’t help that searchengineering [brown yak] turns up lots of cow pictures)

Filing: SpaceX reports 2025 revenue of $18.7B, up 33% YoY, a $4.9B loss, vs. a $791M profit in 2024, and $20.7B in capital expenditures, up from $11.2B (New York Times)
https://www.nytimes.com/2026/05/20/technol

Elon Musk’s SpaceX Pulls Back the Curtain on Its Finances
Mr. Musk’s rocket and satellite maker disclosed its financial performance for the first time, as it prepares to go public in what is set to be one of the largest offerings to date.