The fact that this approach is catalytic rather than requiring a binding agent seems positive in terms of longevity and not being directly depleted by repeat exposure; but I'd be curious how durable the material is under real-world conditions(clothing that gets hard wear tends to get hard washes) and also how specific it is. 'Organophosphate' means something moderately specific in the context of chemical warfare; but a lot of fairly prosaic compounds are, technically, 'organophosphates'(like DNA and RNA when held together by phosphodiester bonds); and this would be considerably less helpful in practice if it is busy chewing up the genomes of random soil bacteria; and markedly less helpful in practice if there's a "do not perturb the nanites in your clothing if you want them to not migrate into your cells and start mitigating the harmful effects of your DNA" user notice on the treated article.

This doesn't seem like a lie, a NIC is in a pretty good position to knock something off the network if it feels like it and the 'bluefield' devices have enough punch onboard to run some rules regarding whether or not to do that; but it seems like a wild exaggeration of how helpful it actually is.

If you actually have a set of rules that detect your bot being wicked it will presumably save you some CPU time to run them on the NIC rather than having the host CPU watching the traffic; but the hard part is the set of rules that detect your bot being wicked.

This is basically the equivalent of adding a firewall and claiming that you've solved network security. Yeah, the firewall is pretty well placed to block malicious traffic; defining 'malicious traffic' is left as an exercise for the reader.

Support for Office 2016 and 2019 ends October 14th of this year; I assume that the feature is dropping now; rather than either 20 years ago as part of ECMA-376 and eventually in a live product for either Office 2010 or 2013, or never if they didn't want to do that, in order to draw a hard line under the utility of those?

It otherwise seems like a kind of weird time to do it. In principle what a 'cell' is has never really had an obvious mandatory scale: it has essentially always been relevant that a 'cell' existed in relation to other cells, so that something like an array could be a row; but it has also long been allowed and encouraged to do things like substring operations that acknowledge that cell contents are 'larger' objects that contain smaller ones; and are not automatically spilled out for that reason alone. Not clear that the pragmatic use case for spreadsheets would ever have supported some sort of 'any data type that implies it can be decomposed into elements shall be' rule, strings getting broken up into substrings and so on; but it's also not clear that the pragmatic use case is going to be much clarified by a single cell being n levels deep of lists and arrays of lists and arrays being a fully supported thing rather than something you hack on by shoving JSON into text cells or whatever.

It definitely seems like asking for confusion when some, but only some, "excel spreadsheets" have cells that are arrays, potentially of arrays, while others have rows of cells with contents that, at least formally, are not acknowledged as arrays.

That's the sort of curious thing about this announcement: at least in theory(I assume things are uglier in practice) the X1 parts that they shipped for windows-on-ARM/Copilot PCs already use UEFI/ACPI in line with what MS wants for booting Windows.

That obviously doesn't mean that there's a working GPU driver; or that naive power management doesn't cause the system to run at 90% of maximum power and hammer the battery flat; but the theory was that the last gen was already doing the "big kid ARM that has embraced PC standards" thing; very similar to the 'standards base' that ARM encourages ARM server part vendors to use.

I'm always a little curious what the thinking/strategy is with the Chinese outfits. I don't necessarily expect much from the OrangePi guys; they ship a surprising number of different SoCs, including multiple architectures and multiple vendors, for their size, so are likely to be mostly at the mercy of the SoC vendors; but is the situation for someone like Allwinner such that people who want linux to work on their stuff could be a resource for them and they are just not taking advantage of that very well; or are they actively annoyed by GPL-related claims and really just want to shove minimum-viable android out the door as cheaply as possible to win cheap tablet tenders and really do not want to hear from SBC hobbyists.

SOP at Qualcomm. It has been literal years of hammering on them by Google and basically every Android handset OEM to even keep parts that ship with android support in support for more than a few years(I think the current timeline, at least for 'snapdragon 8 elite' flagship parts, is a princely 8 years from release; and that is with the 'project treble' stuff that attempts to reduce the number of changes that might potentially need to be supported). Especially with the, um, raging success, of Copilot+ AI PCs they are probably ready to pretend that X1 never happened and call it good. I'm not even sure how long the windows support on X1 is expected to last.

At present, no. I've done a number of experiments with LLMs' capabilities with generating fiction, and while they are impressive for a beginner writer -- because fo the lack of spelling and grammar mistakes, they are nowhere near being able to write competent fiction.

This is because they don't model reader or character minds, they're based on word probabilities, like a predictive text keyboard. The engineers can compensate for for this to a surprising degree by feeding it data to recognize specific situations (e.g. the car wash is 100 feet from my driveway; should I drive or walk?). But this is turd-polishing.

AI technology practice isn't foundational. Critical thinking is. The closer AIs come to being able to do something that looks like them doing our thinking for us, the more capable we have to be at thinking without them. A human who can't outthink an AI adds nothing to an AI-human partnership.

This proposed school is a typical scheme by people who think because they have been educated, they understand how the education works. This is like thinking because you eat, you know how to cook. Project work in education is nothing new; it goes back well over a century. And in real life, you may get a STEM degree, but your real education in engineering comes from real life work. But that doesn't mean classes in calculus and physics don't do anything for you.

Or English classes, for that matter. Nobody doubts the value of project work in education, particularly *androgogy* -- the education of adults. But for *pedagogy* you have to establish foundational skills as the student matures intellectually and socially. Entering the high school years, a typical student has had *no* training in critical thinking skills. To develop critical thinking skills in an area, you need both general skills (epistemologicla literacy: research, location of orignial sources, dealing with conflicting evidence) and domain specific training in that area. In other words, *liberal arts* training is foundational in an AI-saturated world. "Liberal Arts" -- from *artes liberales*: literally the skills necessary to be a free person.

But I think these people have at least got the problem right: as AI drives the cost of elaborate projects down, we all have more projects in our future. Big, elaborate, faultlessly plausible-looking projects which may or may not have actual value.

Where they are completely wrong is the solution, which is to organize education around practicing using AI to make impressive projects. In a word of AI-enamored dunces this will put you at the head of a very sorry class of ignoramuses. The answer is to build fundamental cognitive and intellectual skils at every stage of a student's development. Project work is surely part of that, but it's just a technique, not a solution.

In a nutshell, the academy is training students to be the next step down the evolutionary scale from code monkeys. More like the pigeons B.F. Skinner trained in WW2 to peck at a screen, in an attempt to create a primitive guided missile without computers. They want to create "main characters"; and they'll probably create a few. There are always a few natural autodidacts in any moderately large group. But what they are set up is to produce a bunch of fragile, economically privileged narcissists trained to cover their lack of education with impressive-looking AI slop.

That's a pretty shallow(thought admittedly depressingly popular) analysis of the situation.

Being in public does leave you with no particular defensible expectations of not being observed, and possibly even remembered for a time, by assorted passers by; and typically also permits more direct tailing of people for observation purposes(subject to some, often slightly vague, threshold at which having PIs or paparazzi hunting someone remains a problem even in public; as we saw here where the police took the notion seriously enough to show up but not to do anything in particular).

What it has historically never meant, for technical reasons, was pervasive coverage and longterm retention. Which is certainly increasingly feasible with only moderate levels of investment; but is absolutely a novel development for what 'public' and 'no expectation of privacy' meant.

It's like defending the installation of a massive network of sprinklers because "you have no expectation of staying dry when you go outside; haven't you heard of rain?" Sure, nobody the weather to be sunny all the time, any more than they expect everyone to avert their eyes in public; but they would correctly consider the installation of irrigation equipment on every lamppost to be an intrusion on their ability to stay dry despite the fact that the sky has never extended them a constitutionally protected right to no rain.

It's a way of reframing sloppy practices as a signal to your investors that your software has become powerful. Most of the horror stories about AI showing signs of becoming hyperintelligent are coming from the companies themselves, which should tell us something.

While the energy source of wind and solar are free, building and maintaining the plants is not free.

If all they were building were a single 100MW data center, sure: renewables would be cheaper to build. But they evidently are planning a major campus that will consume most of the plant's 615 MW output over the next 25 years.

A solar installation, in a favorable location, capable of supplying 600MW around the clock (with battery backup) would have to be roughly 1800MW in capacity. It would be among the largest inthe world, on the order of ten thousand acres in size at a build cost of maybe 2 billion. The battery backup system to ensure 99.9% uptime would be 9x the size of the largest li-ion grid storage system ever built, and set you back on the order of 4-5 billion dollars.

While it's probably cheaper to go renewable than build a *new* nuclear plant, if you can reactivate and one for just two billion that looks like a bargain, if you have a use for all that power. Inability to save money by load following is the financial Achilles' heel of this generation of reactors, but if you have a guaranteed customer for most of your output, years in advance, that's as close to an ideal economic case for them as anything could be.

ToS is the strongest argument, but the distillers are not parties to the ToS. They get their data from data brokers. It is possible that data brokers are violating the ToS, but it would be hard to write ToS that precluded running queries for third parties without creating problems for consultancies and other businesses. Even presuming the ToS could be written to preclude the data brokers doing that, it doesn't affect the resulting model.

But the general shape of the argument brings us right back to unclean hands: we worked hard on this model and it's not fair for you to profit off our work in a way that doesn't have our permission.

I think the fair-minded position is to see what people think when the documentary comes out. You're essentially arguing a negative here -- that there *can't* be anything of value that hasn't been said yet.

Also, I don't think saying something *new* is necessarily critical. Sometimes saying something obvious but in an interesting way is worthwhile.

In this case, Holmes gave access to the filmmaker. Obviously she has an agenda. If the filmmaker is smart, he has an agenda that's different from hers. If he knows his business he'll find something interesting to show you from that conflict.

Now looking at the trailer -- holy shit that woman gives off batshit crazy vibes. That's new to me. I expected her to be slick, persuasive, like Saruman in Lord of the Rings: someone. you'd need real strength of mind to resist being persuaded by. If I'd just handed someone like that my business card, I'd get it back on some pretext then head as fast as I could for the door.

It doesn't make it *right*, but it does make claiming it is *wrong* inconsistent with their own behavior. This could prevent the US companies from suing the Chinese companies seeking an injunction (due to the "unclean hands" doctrine), and probably blocks them from seeking monetary damages in most US jurisdictions.

And suing may undermine the US companies own intellectual property claims by exposing their shaky foundations. An AI model isn't *expression*, so it can't be copyrighted. Insofar as the service allows the underlying model to be deduced through regular usage, trade secret protections don't apply because that's *reverse engineering*, which trade secrets don't prevent.

This leaves violations of terms of service. But setting aside the dubious enforceability of anti-reverse engineering provisions, the Chinese companies may not even be parties to the ToS agreement if they are obtaining the model data through a network of contractors and shell companies.With only moderate paranoia, they can effectively shield themselves from some kind of US tort claim.

Which leaves them with the model they've created from the US company's model, but which the US company has no IP claim upon. If I download a DeepSeek model that's been (hypothetically speaking) trained on Claude, Anthropic might not like that, but what can they do about it?

It's a strange situation. US investors are spending cumulatively on over half a trillion dollars a year in the hope of owning a breakthrough frontier model that is the end of the economic world as we know it. But the essence of the model might not be intellectual property at all.

Pity the poor Europeans, crying out without the bot slop occupying the top half of the results. I wonder what Google is going to do to ensure that the 'degraded' results aren't universally preferred to the alternative?