Th4tGuyII

Oh I’m sure Keir Starmer and his cabinet will take good notice of this report and do something about

Yeah, no. Given how his cabinet have handled this whole “digital independence” thing so far, I wouldn’t make any bets on them actually listening.

Well if we know anything about the GOP, that baseless accusation means they’re actively trying to steal the California Primaries

Its a very damning line to retract, but I don’t think anybody is surprised at this point

“We encourage our engineers to vigorously test and critique our internal tools; that candid feedback loop, even via our internal meme generator, is vital to how we build technology”

Google listening to employee feedback:

Exactly what I was thinking. The US is literally renowned for slavery-esque prison labour, yet Trump is the one trying to put an anti-slavery tariff on other countries?

I sincerely hope other countries do call the fake-tanned paedophile out on yet another tariff related grift.

New being unfamiliar. LLMs can’t just abstractly create things they don’t have training data for the same way a human can. They’re parrots that rely on training data to “create” anything, and that’s why I said they’re good at creating copies and mash-ups.

A good example is DALI being famously unable to depict an empty glass of wine because its training data didn’t have one. OpenAI had to feed it training data of empty wine glasses to undo that.

That need for base data to make literally anything is the whole reason why AI companies have been scraping the ever living shit out of the internet, to give as much training data to mash-up as is possible. The more data it has, the more convincingly unique its output can be.

Iterate was a poor word to use, but you’ll have to chalk that up to me being a fallible human. What I mean is that it can’t extrapolate from training data to make something unique. Everything it makes you will always be cobbled together from the data it has, because LLMs only know what things look like, not what they are as concepts.

Hell you want to see AI not understanding what good code actually is - look at MicroSlop’s Windows 11, where damn near every update has a crippling bug in it that could’ve been avoided

Anyone who says the first is lying to you. LLMs are actually incredibly useful tool in the tasks they were initially designed for like machine translation, natural sounding text-to-speech and accurate speech-to-text.

In trying to generate hype (or more rather revenue), the companies responsible for these models have been throwing LLMs into all sorts of functions they just weren’t designed for - often to haphazard results.

It’s like asking a really well-trained parrot to fact-check for you, code for you, write stories to you. It knows what these things look like, so can make really convincing copies and mash-ups that look right on first read - but it can’t iterate and make new things because it doesn’t actually know what training data it has is fact/fiction, it doesn’t know what code actually does, and it has no idea what a cohesive story is.

The problem is that executives and shareholders are only aware of what’s being hyped up about LLMs, and not of the technical limitations underneath that make them rather unreliable compared to specialised neural networks or just plain trained professionals.

So it is simultaneously robbing people of their jobs because of hype, while doing an absolutely terrible job of it because it is fundamentally limited in what it can replace.

Was about to say exactly this. Didn’t realise Donny still had any sense left to give. If only he could have such a moment of clarity about himself

Surely there has to be a level of expenditure where they just can’t reasonably make this back, right?

Like the debt these hyperscalers are in to their investors at this moment surpasses the debt of entire countries, yet they somehow expect to make this all back and then some??

So much gas-lighting going on from Trump’s Whitehouse over the Iran war its ridiculous.

If Iran is still controlling the Strait of Hormuz to the point where they can use reopening it as a negotiation tool - then with all sincerity you haven’t won shit.

Billions a week are being spent on a war that was completely unnecessary, leading to negotiations so bad they make the Obama administration look like masterminds for being half-competent at the job.

… And all this bullshit occurred just so Trump could distract from him being a paedophile - but if being treasonous cunt wasn’t enough to get him in prison, I doubt being a pedo will do much either.

Tell you what that Rsync thread is just a goldmine.

While I’m generally not one to complain about something I’m getting for free, and I do understand the dev wanting to make more efficient use of their time…

I don’t think people are wrong here expressing their annoyance at what was previously feature complete and stable software being vibe-code updated into a buggy mess.

… And that’s without mentioning the ethical and security issues posed by vibe-coded software.

I could get my brain to see it differently by adjusting my phone’s brightness and viewing angle, but it wasn’t as voluntary as other illusions (like the Ben10 figure one)

My theory is it’s because LLM’s could suck up directly to the C-suite.

FTFY

I hate to admit it, but you could very well be onto something haha

I understand that idea, but at the same time @[email protected] has a point.

There’s a good reason why you generally don’t get a CPU to do graphics and why FPGAs are usually only put on dev units.

Specialist hardware is generally much more efficient cost and energy wise than generalist hardware for a given task.

And I imagine that must be true for neural networks too, as that layer of language processing on top of any task naturally can’t be as efficient/performatative as specialist software/networks made for the job.

Yeah, don’t worry, you’re supposed to be able to see they’re different.

The majority of the image being grey is gives your brain the right context required to perceive each half is being tinted, so the perceived white balance isn’t shifted around like in the original “the dress” meme.

This is more of a teardown of the “original” illusion than a demonstration.

Looking at the bridge, it becomes clear that even though you can see in the wider context that the dresses are separate colours - when compared directly under skewed/tinted white balance they become indistinguishable.

Meaning that in the original “the dress” meme, how you perceived the dress’ colour depended greatly on how you perceived the tint/white balance in the surrounding areas of the photo (or how it was displayed on your device).

Honestly, I’d like to believe it - but I also don’t doubt that someone would be petty enough.

Slight tangent, but what is the right’s obsession with boys playing with dolls?

Considering how many parents let their kids rot on phones/tablets watching hyperactive slop nowadays, I’d rather my kid play with basically anything else - even if it doesn’t conform to “expectations”.

Neural networking has so much potential in so many places, yet of course the industry collectively zoomed in on LLMs specifically and is trying to sell them as a panacea to the world’s problems.

As though a mechanical parrot knows anything about good coding practices, or literally anything outside of mimicking speech patterns.

Our budget is $400K /month to Anthropic and we exceeded that 3 weeks into May

Fucking hell, that’s so much money to burn on management’s AI addiction. Have to wonder how your finance department feels about burning almost half a million a month.

Also, wild that management is telling you that not letting your skills degrade by handing everything off to an AI is what’ll make you unemployable.

Well I’m sure this’ll be a productive discussion with no whining or name-calling whatso

Tbf a conversation that started with a screenshot of a rant was never going to stay civil, but the OP has a point.

Rsync was in a robust maintance mode, only needing occasional security updates. If adding new features by vibe-coding is going to just break the existing reliable infrastructure, then it’s better off not having those features at all.

Companies are citing AI’s ability to automate jobs as a cause for layoffs, though Anuj Kapur, CEO of CloudBees, told Axios that workforce cuts may simply be “the only lever they can pull” to offset their AI bills.

If only there were some other way to prevent these companies getting caught up in AI bills! Its not like they could just save money by moving away from using AI… Oh wait, they can.

I swear its literally the guy putting a stick into his bike spokes meme. Poor employees getting the sack because their executives have an AI addiction.