All over the world people have been disregarding populist candidates like Pauline.

Not wrong, but all over the world does not have compulsory voting (AU and Belgium only I think). For all we have some vociferous reactionary racist gobshites, it’s a small minority and we have a lot less of an apathy failure to vote problem to balance it. Add to that a high proportion of immigrants, a solidly left leaning younger demographic and Trump’s example and I don’t see much traction, no matter how much Murdoch media beats it’s drum. At worst they’ll become a very junior coalition member, which will likely do more harm than good to the right wing in the long run.

I’m reasonably sanguine, compulsory voting counts for a lot and Pauline is extremely prone to foot cannoning, see her recent Press Club speech for examples.

So, exercise, clean diet and stay lean. Sounds maintenance heavy.

In this case hallucinations actually help…

I have lots of music, it has a decent DAC IIRC

Overpriced, stupid marketing, random proprietary crap, mildly interesting form factor, audio jack, microSD (but only 256GB, why?).

But more linux phones is more linux phones. I’ll pass on it, but I don’t hate it. You could probably just flash vanilla sailfish without much trouble.

Precisely, what they were doing anyway, but with the excuse of ‘AI’. Evil fucks.

Ah, thanks, I stand corrected. Still a good practice.

Eh, it protects against a certain class of attack when the attacker has physical access e.g. reading memory with memory probes while the computer is (still) on to get passwords etc., i.e. sophisticated attackers like customs, FBI. If they have physical access you’re probably hosed anyway, but if you have the presence of mind to shut the machine off (not sleep, hard off if needed) memory encryption becomes irrelevant.

Thanks, makes sense now.

Still seems like a (server) code level problem to provide sensible handling rather than having to try to notify all users of an unintuitive behavior. I’m guessing piefed would likely listen, lemmy perhaps less so.

a deleted post would still have all the comments and discussions below it.

Pretty damn sure that’s exactly what I see. It just says ‘deleted’ or some such and carries on. Makes sense for an instance like .ml where censorship is the goal, much less elsewhere. Are you sure there isn’t an off switch?

So what you’re saying is it’s an instance choice (and instance admin) issue? Mine shows reply comments on deleted comments. You might reflect this in OP… Likely new admins don’t know to turn it off as well.

Context management is a huge part of making smaller models viable (and likely a big part of making frontier models better). Tricks like structured context libraries for thinking improve things a lot, I like approaches that output things like an Obsidian vault that let you dig in and correct bad assumptions easily, even if it’s a bit slower. It’s a useful deliverable that can (mostly) be reused with updated models.

Things like ‘the debugging skills, won’t test their code, don’t always tool call correctly’ are tangibly improving model to model, framework to framework, and are problems that will be solved in time, but yes they need handholding ATM.

Things like

test their changes, work through debugging processes the way a programmer would, stop to ask for clarification, check diagnostic tools and linters, prompt to run test code

are mostly down to framework, not model (except for failing to tool call, which is improving), and falling at a respectable rate.

That said, sure, frontier models get more in one go, personally I’m fine with only a 3-4x force multiplier instead of 10 to keep it local, but YMMV. For a business with resources for a bigger server it’ll be more like 8 times. Remember that some businesses handle sensitive data and can’t (or damn well shouldn’t) use frontier models, so the market is there.

Maybe some day there will be enough cheap compute for open source communities to pool together resources to build competing models but they’re not really there yet :(

Not wrong, decentralized inference is mostly solved (with latency penalties), but without decentralized training true democratization will remain out of reach. Hopefully a breakthrough will ensue, but until then we are dependent on the kindness of corporations (or them rugpulling competitors).

This could also be a part of the RAMpocalypse thing, ‘if there’s not a moat I’ll fucking dig one, damn everyone else’ (and damn SamA). I doubt that’s sustainable long term, but it might get them through to IPO, more’s the pity.

There’s actually scope for someone to set up / sell local compute hardware+software packages, similar to all those coin miners.

I think that’ll be a viable target in the future, and have little doubt some are jumping on it already. However, I also think it’s too much of a moving target currently, a near optimal setup changes almost entirely month to month.

I find myself targeting last months setup, as then there’s enough literature out there to get it set up in a day or two and most of the kinks have been worked out. Otherwise, I lose too much coding time to debugging the bleeding edge.

IMO, at the moment, if you’re not capable of setting it up yourself you likely don’t have the experience to use it reasonably safely nor an adequate understanding of its limitations. You’ll find yourself using more time fixing the blunders than you gain, and / or the project will spiral out of control in maintainability, security, readability, and so forth. You could get away with small projects written as ‘write only’ code ala Perl though, keep the prompts and tests, when it needs to change rebuild with the newest hotness. Inefficient and unsatisfying though.

just letting it vibe leads to crap code

Yup, vibe is occasionally useful for proof of concept stuff, but disastrous for maintainability, security, readability, or large codebases. Without experience it’s still a foot gun for anything even slightly serious.

Best approaches for a learner are to consider it autocomplete that needs research. Look up what it’s suggesting, see if it’s hallucinating, with luck it’ll point you in a useful direction where you can learn a good solution, as it has no idea what that is. Also makes a pretty good rubber duck for hashing out architectural decisions, finding alternative approaches etc, though you’ll have to point it at a web search for that. Spin up an e.g. vane instance for this, as small models don’t have enough world knowledge. Use it to write (or preferably copy from its system prompt examples) boilerplate and unit tests, perhaps descriptive comments (doublecheck).

One thing to do is put everything you learn about coding style into your system prompt as they’re dogshit at consistent style without significant beatings around the head. Finding your own comfortable, consistent style is super useful for future readability. The joke about when I wrote this only God and I understood it, now only God does, will come clear in a month or two. Learn to work around it. Simple beats fancy unless you truly need the speed.

While I do use agent iterative approaches, probably best to approach that organically as you grow, monsters lurk there. If you must, containerize / vm / isolate the hell out of something like opencode to muck around with.

FWIW I still write most of my code by hand, it’s simpler and more consistent, but I’m keeping an eye on the development of LLMs, and I will let it write scut code (that I edit later). Code and Mathematics are super structured languages, pretty much ideal for large language models, so I can see them maybe, eventually getting good. More general thought, not so much without significant architectural upgrades.

Doctor Who: Don’t you think _{(she, the PM)} Trump looks tired?

This is the golden time for cheap commercial AI.

I suppose, but small open weight models with more advanced coding frameworks optimized for them are catching up fast and you can do it privately at home on a mostly affordable consumer graphics card.

If you have solar it’s basically free, minus the graphics card CapEx you may want for gaming anyway, as well as some setup time and a bit of patience.

About as effectively as they keep kids off social media. It’s just ratcheting up the technical requirements for anything approaching anonymity, and more get lost along the way.

Sure it’ll work, adults will identify themselves online, which is the point, and VPN usage will go up, guess where they’re gonna hit next.

So, what’s that as a percentage? Of successful actually running ‘data centers’

Seems a lot like they actually want to be stopped because it’s not profitable, it’s the idea that’s profitable.