30,192 karma · joined December 12, 2016
Experience mainly with Swift, ObjC, and Java; usual smattering of experience in other languages (IDL, REALbasic [back when it was still called that], Python, PHP, JavaScript, etc.)
Human language knowledge:
- English: native
- German: certified CEFR level B1 (examination board: telc), which means I can do normal daily things without having to reach for a translator, but surprises still confound me. I understand more than I can speak, my grammar is still terrible.
- Esperanto/Greek/Dutch/Spanish: self-taught and probably A1 or less, so while I can type ενα τσι και ενα σανδυιχ παρακαλορ without reaching for Google Translate, if I use GT to check my work I find I spelled "tea" and "please" wrong, and when I asked for that in Athens the person behind the counter just corrected me in English.
- Futhark (just the script, not ancient Icelandic)᛬ ᛚᛖᚨᚱᚾᛖᛞ᛬ᚦᛖ᛬ᚨᛚᛈᚺᚨᛒᛖᛏ᛬ᚨᛊ᛬ᚨ᛬ᚲᛁᛞ᛬ᚲᚨᚾ᛬ᚢᚾᛞᛖᚱᛊᛏᚨᚾᛞ᛬ᚦᛖᛗ᛬ᚹᚺᛖᚾ᛬ᚦᛖᚹᛁ᛬ᚨᛈᛈᛖᚨᚱ᛬ᛁᚾ᛬ᚦᛖ᛬ᚺᛟᛒᛒᛁᛏ᛬ᛟᚱ᛬ᛚᛟᚱᛞ᛬ᛟᚠ᛬ᚦᛖ᛬ᚱᛁᛜᛊ᛬ᛒᚢᛏ᛬ᛞᛟᚾᛏ᛬ᚨᛊᚲ᛬ᛗᛖ᛬ᚨᚾᚹᛁᚦᛁᛜ᛬ᚨᛒᛟᚢᛏ᛬ᚦᛖ᛬ᛟᛚᛞ᛬ᚾᛟᚱᛊᛖ᛬ᛚᚨᛜᚢᚨᚷᛖ
Currently:
- In 2024 I stopped working though Brilliant.org courses, not because I've done all of them, but because I've Peter-Principled myself on it: I've done harder and harder courses until I exceeded my competence, which was a lot of stuff, but not the most advanced calculus or group theory stuff: https://benwheatley.github.io/blog/2024/03/11-12.00.16.html
I tried looking at it more recently to see if it was worth re-subscribing, but it seems like the new material is all focussed on k-11 pupils rather than adult learners pushing themselves further, so I suspect I won't go back.
- Still trying to finish editing a SciFi novel: got stuck at 90%, the final 10% is in a rewrite loop where I'm never happy with what I produce
- Looking for work; my main experience is as a senior iPhone app developer, but I am open to be a noob again in some other aspect of software development. Or even non-software, given what LLMs can do these days.
- LLM coding is each of U+1F631 (scream) and U+1F92F (exploding head) and yet also sometimes U+1F4A9 (smiling poo), I do have experience of code review and can deal with the latter regardless of whether it comes from humans or machines.
- But also, with LLMs we are repeating the news and hype cycle of 3D graphics in the 90s, where every new engine was hailed as "photorealistic" only to be dismissed 6 months later when something better came along: https://archive.org/details/nextgen-issue-26
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https://kitsunesoftware.com has all the links to my other stuff
At this point, Musk might face extradition claims outside the US and state-level charges within it, even if Trump pardons him for all US federal laws. And he might have lost a lot of leverage with the US federal government by having SpaceX stop taking customers for more Falcon launches before Starship's fully ready.
Then pick a smaller organic brain which doesn't have the ethical problem.
The closest we would know about how to teach a honey bee calculus, is to train an LLM, then stick around a billion tiny electrodes into the honey bee and do Hebbian learning to rewire it completely to match the LLM, which would likely completely erase anything the honey bee had learned, or it might not because we are missing something fundamental with Hebbian theory and (AFAICT, I'm not a neuroscientist) we don't all agree on what.
Things as you say, but also: didn't know show's own technology history (Klingons with cloaks before they should've had them), adding in spore drive then needing to retcon it.
The show din't seem to know what it wanted to be and kept pulling in different directions, one of the early plans was an "anthology series, with each season being a standalone, serialized story set in a different era", which would have suited this much, much better: one or two episodes about the Klingon war, one showing Pike's command before Enterprise, young Spock's first mission, even some about a spore drive and the problems it has, some AI-takeover stuff, some post-TNG stuff, one episode about galaxy-threatening event, one about some post-apocalyptic thing like The Burn isn't even bad. But all that smooshed together with the same crew? Nah.
The reason Michael Burnham had a male-coded name was teased but never actually revealed (could have been interesting e.g. "adopted by Vulcans who didn't notice it was male-coded because that's a silly human thing"). Her character shifted way too hard and way too fast, from "Vulcan persona due to upbringing" to "traumatised normal human", a nature-vs-nurture tale could have been an interesting thing to explore.
And Michael Burnham was correct to want a show of force against the Klingons! Sure, wildly violated how command hierarchy works, but she was correct, and Starfleet Command should have known that because she got advice from Sarek. Not that she should have been Sarek's never-before-mentioned adopted daughter, we need to see new characters rather than just repeating the old ones; I mean, Vulcan is an entire plant, not a small Pacific island. (Amusing trivia from some fan-site I visited decades ago: VOY had the opposite problem, in that the list of extras appearing as background crew was larger than the crew complement).
And in the battle before they went off to the far future, that unexploded torpedo inside Enterprise, which the admiral heroically sacrificed herself to disarm… (1) it's antimatter, how does that "not explode"?, (2) it's ~ 50 megatons and inside the ship and in TOS an overloaded phaser pistol was supposed to be able to blow out multiple decks, (3) what, are their transporters not working? Can't you either beam it out, or the admiral out after she disarms it? (4) Why send in an admiral, did they run out of ensigns and non-officers? And Control (the AI) was proto-Borg, right as we had three seasons of Picard with season 1: Romulans, Borg, and Androids; Season 2: Q, Borg, and time travel; Season 3: Borg, Changelings, and Crusher saying "no one has seen or heard from the Borg in a decade".
Mmm. This represents what I liked about the TOS-ENT era of Trek, SG-1, Babylon 5, Lower Decks, and roughly half of SNW; and also what I dislike about DIS (the nice crew are noobs, the competent ones are dicks), season one of PIC, half of what I don't like with season 4 of SNW, and why I was so bored by Stargate Universe.
Modern PV typically has an EROEI of ~ 15-30, depending on tech, location, system lifetime, and accounting methodology.
From what I've read, coal might still beat that, but modern oil no longer does. Gas is generally also worse than PV in this regard.
Coal is however also very expensive, which is why e.g. the UK completely stopped using it for electricity.
I can vibe code a card game on an unpaid Claude account, so it's definitely cheap enough to replace developers (and businesses selling card games) if you just want a card game.
A whole modern operating system? Right now, I think you'd still need to be a developer just to direct the AI well enough to make more than a demo.
Nah, just one which read e.g. every Hacker News discussion like this.
> What you do on your own machine is your business, so have fun with that. You can't legally share it, though.
Unclear, as with so much else going on in this space right now.
Don't get me wrong, it feels like it ought to be against the rules to me… but then again, several highly successful businesses also felt to me like they ought to be against the rules.
Given what AI could do with protein folding, I wouldn't bet on biology being a "no" for AI. It might be, but I wouldn't bet on it.
Likewise, if AI can do mathematics so well it solves "just" all of computer science, let alone other branches of mathematics, if this somehow doesn't lead to AI becoming similarly sample-efficient as biological brains, that's very interesting and will say something nice and surprising about the nature of minds and possibly the nature of being alive.
* I like hobby projects, no shade here. But it is a hobby project, just like the people trying to keep RISC OS modern, or my suggestion about MacOS classic. There's no obvious reason to pick these things over "just use some flavour of linux" in the present world, unless you're a nerd like us.
Ironically, it being a hobby project might actually be a good reason to keep the AI away: the effort is the point.
YouTube is probably an instructive example here: they can refuse to host certain content on their servers, and this is Anthropic refusing to have the AI on their servers perform certain tasks.
The AI know this too, and that is a way to rework the OS.
I could have phrased this better, the "modern" is a prefix on each item in the list:
modern {memory protection, virtual memory, preemptive multitasking, and networking}.
rather than: {modern memory protection}, {virtual memory}, {preemptive multitasking}, and {networking}.At this point, they could likely decompile MacOS classic and rework it to give it modern memory protection, virtual memory, preemptive multitasking, and networking.
I assume booting an OS with a mere few megabytes of RAM footprint would only take milliseconds?
Doing it in a way that isn't described as "hilarious" is probably also possible in the time since that video came out. Doing it in a way which isn't described as "a security nightmare" or "liable to lose all your data", probably not yet. Not as vibe-coding, at least.
So do I, but I've been in two companies that had to let me go because the investors said they didn't want my role to exist any more. Plus two other roles where the company straight up ran out of money.
It's not always up to us.
Gosh. That would be a very silly use of an LLM.
Bad use of any AI, even image/video models which are certainly less wrong than this. Stuff like DLSS show we're getting stuff that could generate a game's graphics frame-by-frame, but even though it's possible to have an entire game environment (not just graphics, everything) done by an AI, such things demo better than they play due to temporal coherency.
That said, having an AI make the code for each thing as you need it, might work somewhat OK eventually. Wouldn't trust it today (security, data integrity, and a tendency to cheat on tests), but eventually it could happen.
I studied law in Berlin (J.D.-equivalent) and at the Center for Transnational Legal Studies in London.
--Original:
Hmm.
Would be interesting to hear from actual German lawyers about these examples; my understanding of law is (a) at the level of pub trivia, and (b) more about the British system, which is fundamentally different in any case*.
* https://upload.wikimedia.org/wikipedia/commons/9/92/Map_of_t...
Good that you said so, this is annoyingly plausible.
The rate of growth in this sector is "1. move so fast legislators can't keep up; 2. keep going until you hit a limit, then find a way to hack around that limit; 3. GOTO 2".
I suggest putting them on a blog or something and linking to that, rather than HN comments.
By my reading of the TL;DR of "NNs are already clean" (given the full thing is a 65-minute read, I've not been through it yet), the result can be rephrased as "it made an ontology different to ours, so we were confused". (Example: we might expect a language model to identify nouns and there to be a noun-neuron, but the neurons actually trigger at punctuation based on the emotional cue from the preceding clause).
Regardless, a one-neuron evil switch is quite clean, possibly (I'm not sure) clean enough for the older processes to find it.
The conundrum: (1) this was only discoverable because of open weight models, and research labs (and governments, if they regulated faster than the glaciers are melting) could be informed by this; (2) yet because it is known, it now means that it's easy for mid-skilled people to download open models, flip the switch to make the model evil, and then setting them lose to do evil things.
Security by obscurity vs. fully automated insecurity. Clichés need not apply.
Weirdly, one of them "thinks" I'm a completely different person (by name) and CCed an old work email address of mine for a company that ceased to exist about 15 years ago. I'd expected them to mix me up with a different person of the same name, but no.
(Also: Same site, but click on earnings instead of market cap).
Working smart, living smart, also makes a huge difference. Every 83/month you save off your expenses (rent, more efficient transport, better utility deals) is the same as earning 1k/year more after tax. At lower income levels (but not the lowest because at the very lowest people don't have a choice), investing that over a lifetime turns "just about making ends meet" into "retire 4 years early".