Hot take: what most people call AI (large language and diffusion models) is, in fact, part of peak capitalism:
relies on ill gotten gains (training data obtained without permission, payment or licensing)
aims to remove human workers from the workforce within a system that (for many) requires them to work because capitalism has removed the bulk of social safety netting
currently has no real route to profit at any reasonable price point
speculative at best
reinforces the concentration of power amongst a few tech firms
will likely also result in regulatory capture with the large firms getting legislation passed that only they can provide “AI” safely
I could go on but hopefully that’s adequate as a PoV.
“AI” is just one of cherries on top of late stage capitalism that embodies the worst of all it.
So I don’t disagree - but felt compelled to share.
What is success here? The few founders and VC get filthy rich as the larger population dumps their money into Discord stock while the users and teams with limited foresight, who’ve moved their communities to discord, suffer?
I mean yeah I guess that’s the success Cory Doctorow warns us about again and again.
But that’s not my definition of success.
For context I’ve been on the receiving end of an IPO and the founders and investors made out like bandits while a fair number of employees were stuck holding the bags thanks to lock-ins, dilution and over priced shares.
His recent interview on Pod Save America was so off putting, so filled with his own narcissism, that I simply couldn’t finish listening to the interview. There was little of substance there; just a very out of touch very rich guy loving the smell of his own shit.
Afinity Publisher is a good, affordable and a solid replacement for InDesign, at the price of MS Publisher.
We switched away from Creative Suite during one of the many “Adobe overstepping” debacles and haven’t looked back. Publisher 2 has felt like a drop in replacement for most documents/posters/newsletters/flyers etc.
I’m suggesting Afinity publisher because if you’re using ms publisher you don’t have qualms with closed source software and probably value some of the workflow niceties that come with commercially supported software.
So maybe we’re kinda staring at two sides of the same coin. Because yeah, you’re not misrepresentin my point.
But wait there’s a deeper point I’ve been trying to make.
You’re right that I am also saying it’s all bullshit - even when it’s “right”. And the fact we’d consider artificially generated, completely made up text libellous indicates to me that we (as a larger society) have failed to understand how these tools work. If anyone takes what they say to be factual they are mistaken.
If our feelings are hurt because a “make shit up machine” makes shit up… well we’re holding the phone wrong.
My point is that we’ve been led to believe they are something more concrete, more exact, more stable, much more factual than they are — and that is worth challenging and holding these companies to account for. i hope cases like these are a forcing function for that.
That’s it. Hopefully my PoV is clearer (not saying it’s right).
I read your reply as saying the output is (can be) libellous - which it cannot be because it is not based on a dataset which resolves to anything absolute.
Maybe we’re just missing each other - struggling to parse each others’ output. ;)
Surely you jest because it’s so clearly not if you understand how LLMs work (at the core it’s a statistic model - and therefore all approximation to a varying degree).
But great can come out of this case if it gets far enough.
Imagine the ilk of OpenAI, Google, Anthropic, XAI, etc. being forced to admit that an LLM can’t actually do anything but generate approximations of language. That these models (again LLMs in particular) produce approximations of language that are so good they’re often indistinguishable from the versions our brains approximate.
But at the core they cannot produce facts because the way they are made includes artificially injected randomness layered on-top of mathematically encoded values that merely get expressed as tiny pieces of language (tokens) - ones that happen to be close to each other in a massively multidimensional vector space.
TLDR - they’d be forced to admit the emperor has no clothes and that’s a win for everyone (except maybe this one guy).
Also it’s worth noting I use LLMs for work almost daily and have studied them quite a bit. I’m not a hater on the tech. Only the capitalists trying to force it down everyone’s throat in such a way that we blindly adopt it for everything.
It’s primary a writing platform with built-in monetization options and the ability to self host. We switched to it from Substack. It’s been fantastic to use and operate. Super slick.
I see Jellyfin suggested as an alternative to Plex here. I hope it is one day.
At the moment it’s nowhere close.
I’ve been running Jellyfin side-by-side Plex for two years and it’s still not a viable replacement for anyone but me. Parents, my partner, none of the possible solutions for them come anywhere near close to the usability of Plex and its ecosystem of apps for various devices.
That will likely change because plex is getting worse every day and folks can contribute their own solutions to the playback issues. With plex it’s more noise, more useless features. So one gets better (Jellyfin) and one gets worse (Plex).
But at the moment it really isn’t close for most folks who are familiar with the slickness of commercial apps.
Even from the administrative side, Jellyfin takes massively more system resources and it doesn’t reliably work with all my files.
Again, Jellyfin will get there it’s just not a drop in replacement for most folks yet.
And for context I started my DIY streaming / hosting life with a first gen Apple TV (pretty much a Mac mini with component video outs) that eventually got XBMC and then Boxee installed on it. I even have the forksaken Boxee box.
I’m not defending them because it’s a shit move, but they clearly understand the most valuable feature is not their ad-ridden free content but rather the original value prop of the service to make it easy to share personal media with small groups of friends.
I think that depends on what you’re doing. I find Claude miles ahead of the pack in practical, but fairly nuanced coding issues - particularly in use as a paired programmer with Strongly Typed FP patterns.
It’s almost as if it’s better in real-world situations than artificial benchmarks.
And their new CLI client is pretty decent - it seems to really take advantage of the hybrid CoT/standard auto-switching model advantage Claude now has with this week’s update.
I don’t use it often anymore but when I reach for a model first for coding - it’s Claude. It’s the most likely to be able to grasp the core architectural patterns in a codebase (like a consistent monadic structure for error handling or consistently well-defined architectural layers).
I just recently cancelled my one month trial of Gemini - it was pretty useless; easy to get stuck in a dumb loop even with project files as context.
And GPT-4/o1/o3 seems to really suck at being prescriptive - often providing walls of multiple solutions that all somehow narrowly miss the plot - even with tons of context.
That said Claude sucks - SUCKS - at statistics - being completely unreliable where GPT-4 is often pretty good and provides code (Python) for verification.
Won’t you be my Neighbor is a wonderful documentary whether you’re a fan or not.