One to watch from a safe distance: dafdef, an “ai browser” aimed at founders and “UCG creators”, named using the traditional amazon-keysmash naming technique and and following the ai-companies-must-have-a-logo-suggestive-of-an-anus style guide.

Dafdef learns your browsing patterns and suggests what you’d do next After watching you fill out similar forms a few times, Dafdef starts autocompleting them. Apply with your startup to YC, HF0 and A16z without wasting your time.

So… spicy autocomplete.

But that’s not all! Tired of your chatbot being unable to control everything on your iphone, due to irksome security features implemented by those control freaks at apple? There’s a way around that!

Introducing the “ai key”!

A tiny USB-C key that turns your phone into a trusted AI assistant. It sees your screen, acts on your behalf, and remembers — all while staying under your control.

I’m sure you can absolutely trust an ai browser connected to a tool that has nearly full control over your phone to not do anything bad, because prompt injection isn’t a thing, right?

(I say nearly full, because I think Apple Pay requires physical interaction with a phone button or face id, but if dafdef can automate the boring and repetitive parts of using your banking app then having full control of the phone might not matter)

h/t to ian coldwater

Good point. I should probably start including some real world stuff in future versions of this argument… the Wikipedia page on the Pegasus spyware has a depressingly long list of publically-known deployments.

https://en.wikipedia.org/wiki/Pegasus_(spyware)#By_country

Cellebrite is another big one, because whilst its tools generally require physical access, they’re regularly used by law enforcement and border staff and it is tricky to say “no” when the latter demands access to your phone. They specifically seek to crack grapheneos (see this old capabilities list) and signal, the latter leading to this wonderful bit of trolling by moxie.

Avoiding phone exploits is considerably more hassle than changing cipher suites (grapheneos and iOS in lockdown mode require a bunch of compromises, for example).

the possibility of such power falling into government hands is one that all-but guarantees Nineteen Eighty-Four levels of mass surveillance and invasion of privacy if it comes to pass

Dealing with an implementation of Grover’s algorithm just means that you need to double the key length of your symmetric ciphers (because it only provides a root-2 speed up over brute force search). Given that the current recommended key length for eg. AES is 128 bits and we have off-the-shelf implementations that can already handle 256 bit keys, this isn’t really a serious problem.

A working implementation of Shor’s algorithm would be significantly more problematic, but we’ve already had plenty of work done on post-quantum cryptography, eg. NISTPQC which has given us some standards, and there are even ML-KEM implementations in the wild.

Even for the paranoid sort who might think that NIST approving a load of new cryptographic algorithms is not because quantum computers are a risk, but because the NSA has already backdoored them, there are things like X-Wing and PQXDH (used in signal) that combine conventional cryptography like ed25519 with ML-KEM, such that even if ML-KEM turn out to be backdoored or vulnerable to a new attack the tried-and-tested elliptic curve algorithm will still have done its job and your communications should remain secure, and if ML-KEM remains effective then your communications will remain secure even if a working quantum computer can implement shor’s algorithm for large enough numbers.

Honestly though, if a state-level actor wants access to your encrypted secrets, they’ve got plenty of mechanisms to let them do that and don’t need a quantum computer to do it. The classic example might be xkcd (2009) or Mickens (2014):

If your adversary is the Mossad, YOU’RE GONNA DIE AND THERE’S NOTHING THAT YOU CAN DO ABOUT IT. The Mossad is not intimidated by the fact that you employ https://. If the Mossad wants your data, they’re going to use a drone to replace your cellphone with a piece of uranium that’s shaped like a cellphone, and when you die of tumors filled with tumors, they’re going to hold a press conference and say “It wasn’t us” as they wear t-shirts that say “IT WAS DEFINITELY US,” and then they’re going to buy all of your stuff at your estate sale so that they can directly look at the photos of your vacation instead of reading your insipid emails about them.

Quantum decryption is a little bit like the y2k problem, in that we have all the tools needed to deal with the issue well in advance of it actually happening. Except that unlike y2k it may never happen, but it is nice not to have to worry about it in either case.

New lucidity post: https://ludic.mataroa.blog/blog/contra-ptaceks-terrible-article-on-ai/

The author is entertaining, and if you’ve not read them before their past stuff is worth a look.

It isn’t clear to me at this point that such research will ever be funded in english-speaking places without a significant set of regime changes… no politician or administrator can resist outsourcing their own thinking to llm vendors in exchange for funding. I expect the US educational system will eventually provide a terrible warning to everyone (except the UK, whose government looks at the US and says “oh my god, that’s horrifying. How can we be more like that?”).

I’m probably just feeling unreasonably pessimistic right now, though.

Some people casting their eyes over this monster of a paper have less than positive thoughts about it. I’m not going to try and summarise the summaries here, but the threads aren’t long (and are vastly shorter than the paper) so reading them wouldn’t take long.

Dr. Cat Hicks on mastodon: https://mastodon.social/@grimalkina/114690973548997443

Ashley Juavinett on bluesky: https://bsky.app/profile/analog-ashley.bsky.social/post/3lru5sua3fk25

It is related, inasmuch as it’s all generated from the same prompt and the “answer” will be statistically likely to follow from the “reasoning” text. But it is only likely to follow, which is why you can sometimes see a lot of unrelated or incorrect guff in “reasoning” steps that’s misinterpreted as deliberate lying by ai doomers.

I will confess that I don’t know what shapes the multiple “let me just check” or correction steps you sometimes see. It might just be a response stream that is shaped like self-checking. It is also possible that the response stream is fed through a separate llm session when then pushes its own responses into the context window before the response is finished and sent back to the questioner, but that would boil down to “neural networks pattern matching on each other’s outputs and generating plausible response token streams” rather than any sort of meaningful introspection.

I would expect the actual systems used by the likes of openai to be far more full of hacks and bodges and work-arounds and let’s-pretend prompts that either you or I could imagine.

It’s just more llm output, in the style of “imagine you can reason about the question you’ve just been asked. Explain how you might have come about your answer.” It has no resemblance to how a neural network functions, nor to the output filters the service providers use.

It’s how the ai doomers get themselves into a flap over “deceptive” models… “omg it lied about its train of thought!” because if course it didn’t lie, it just edited a stream of tokens that were statistically similar to something classified as reasoning during training.

deleted by creator

I might be the only person here who thinks that the upcoming quantum bubble has the potential to deliver useful things (but boring useful things, and so harder to build hype on) but stuff like this particularly irritates me:

https://quantumai.google/

Quantum fucking ai? Motherfucker,

• You don’t have ai, you have a chatbot
• You don’t have a quantum computer, you have a tech demo for a single chip
• Even if you had both of those things, you wouldn’t have “quantum ai”
• if you have a very specialist and probably wallet-vaporisingly expensive quantum computer, why the hell would anyone want to glue an idiot chatbot to it, instead of putting it in the hands of competent experts who could actually do useful stuff with it?

Best case scenario here is that this is how one department of Google get money out of the other bits of Google, because the internal bean counters cannot control their fiscal sphincters when someone says “ai” to them.

And back on the subject of builder.ai, there’s a suggestion that it might not have been A Guy Instead, and the whole 700 human engineers thing was a misunderstanding.

https://blog.pragmaticengineer.com/builder-ai-did-not-fake-ai/

I’m not wholly sure I buy the argument, which is roughly

• people from the company are worried that this sort of new will affect their future careers.
• humans in the loop would have exhibited far too high latency, and getting an llm to do it would have been much faster and easier than having humans try to fake it at speed and scale.
• there were over a thousand “external contractors” who were writing loads of code, but that’s not the same as being Guys Instead.

I guess the question then is: if they did have a good genai tool for software dev… where is it? Why wasn’t Microsoft interested in it?

Turns out some Silicon Valley folk are unhappy that a whole load of waymos got torched, fantasised that the cars could just gun down the protesters, and use genai video to bring their fantasies to some vague approximation of “life”

https://xcancel.com/venturetwins/status/1931929828732907882

The author, Justine Moore is an investment partner at a16z. May her future ventures be incendiary and uninsurable.

(via garbageday.email)

I was reading a post by someone trying to make shell scripts with an llm, and at one point the system suggested making a directory called ~ (which is a shorthand for your home directory in a bunch of unix-alikes). When the user pointed out this was bad, the llm recommended remediation using rm -r ~ which would of course delete all your stuff.

So, yeah, don’t let the approximately-correct machine do things by itself, when a single character substitution can destroy all your stuff.

And JFC, being surprised that something called “YOLO” might be bad? What were people expecting? --all-the-red-flags

LLMs aren’t profitable even if they never had to pay a penny on license fees. The providers are losing money on every query, and can only be sustained by a firehose of VC money. They’re all hoping for a miracle.

(this probably deserves its own post because it seems destined to be a shitshow full of the worst people, but I know nothing about the project or the people currently involved)

Did you know there’s a new fork of xorg, called x11libre? I didn’t! I guess not everyone is happy with wayland, so this seems like a reasonable

It’s explicitly free of any “DEI” or similar discriminatory policies… [snip]

Together we’ll make X great again!

Oh dear. Project members are of course being entirely normal about the whole thing.

Metux, one of the founding contributors, is Enrico Weigelt, who has reasonable opinions like everyone except the nazis were the real nazis in WW2, and also had an anti vax (and possibly eugenicist) rant on the linux kernel mailing list, as you do.

In sure it’ll be fine though. He’s a great coder.

(links and this unashamedly pillaged from this mastodon thread: https://nondeterministic.computer/@mjg59/114664107545048173 )

Relatedly, the gathering of (useful, actually works in real life, can be used to make products that turn a profit or that people actually want, and sometimes even all of the above at the same time) computer vision and machine learning and LLMs under the umbrella of “AI” is something I find particularly galling.

The eventual collapse of the AI bubble and the subsequent second AI winter is going to take a lot of useful technology with it that had the misfortune to be standing a bit too close to LLMs.

It isn’t clear that anyone in trump’s government has ever paused to consider than any of their plans might have downsides.

Little table of “ai fluency” from zapier via linkedin: https://www.linkedin.com/posts/wadefoster_how-do-we-measure-ai-fluency-at-zapier-activity-7336442774650556416-nKND

(original source https://old.mermaid.town/@Kymberly/114635617736977394)

The author says it isn’t a requirements checklist, but it does have a column marked “unacceptable”, containing gems like

Calls Al coding assistants too risky

Has never tested Al-generated code

Relies only on Stack Overflow snippets

Angry goose meme: what was the ai code generator trained on, motherfucker?

I don’t think it’sa stretch to see the independence of spacex classified as a national security risk and have it nationalised (though not called that, because that sounds too socialist) and have associated people such as elon declared traitors. Shouldn’t even be that difficult these days, seeing how he’s trashed his own reputation, and it’ll be good to encourage the other plutocrats to stay in line.

Night of the long knives is in the playbook, after all