Is that a problem for Meta though? They recently announced they're going to sell their excess compute, so I imagine the actual problem is they're resorting to doing that because AI isn't having nearly the effect/usage it was supposed to and now Zuck is being a sore winner about it
Take the first stories I found from this month's Clarkesworld[1] or Granta[2] or BCS[3] and read the prose. Notice the specificity of the language, how the doesn't try to insist upon itself? Notice how very few metaphors are actually in prose? Notice how, even when writing about fictional worlds and concepts, the language used grounds the _stories_ being told and not the concepts?
And then look at the submissions for unslop. This is the best we can get? Cliche-driven, over-metaphor'd, statistically-average purple-purpose _content_? It's sad, really, that we're many years into this entire thing and it still can't produce something that doesn't have my eyes drifting from the page.
> Citi, for example, has shut off access to Claude’s and ChatGPT’s latest models entirely, according to an internal Citi email obtained by 404 Media. That includes Claude Opus 4.6 and 4.7, and GPT-5.5.
And
> Inside GitHub things are a bit different. Employees don’t have a limit on token spend, but workers were recently told the company is looking into decreasing token spend by using open source models, a GitHub employee said. The employee told us that GitHub plans to test user-based billing, meaning budgeting AI tool use to individual people instead of teams, projects, or unlimited usage.
The UK's financial system made it out battered but bruised in the 70s which were a magnitude worse than what we have right now (double digit unemployment, inflation double digit, interest rates at like 15%, an IMF bailout...). Any talk of the British financial system collapsing is as realistic as the S&P500 dropping 50% in the near future: sure it can happen but the chances are so statistically small you have a better chance of winning the lottery.
This is what I'm wondering too. We've signed a confidentiality agreement with all the big players (as I'm sure all other companies have done), which is supposed to ensure our data is both segregated and not used for training. I don't trust these companies not to do just that; their business is in taking what we have and training their models.
I might have been a bit broad with the brush. I can't speak for banks, but I can speak for the the fintech/money-movement space (e.g. Remitly, Wise, Revolut).
It's a race to get first-to-market for backend integrations/features. It's given rise to a culture of "move fast break things" where safety is only for some core features, but absolutely not for the constellation of other services we provide. Failure rates have increased almost a percentage point since Codegen/LLM adoption was mandated from up top.
You would think regulators would be on top of this, but our industry runs on all actors "self reporting" their outages. Most don't unless they can't hide it (>1h)
Unfortunately every software related industry is embracing LLM/Codegen. Your banks, fintechs, insurance. Everyone. Your concerns are the same I'm having, yet it's regularly dismissed or hand-waved away as "don't worry about it the delivery velocity/ROI is worth it"
A few years ago I was also like this. I wrote fiction but never tried pursuing it as a "real" hobby because I wasn't perfect at it first try. Why bother at all, right? ;)
"Good" Fiction writing is an inaccurate science but has a similar trajectory to what the author went through. To become good at it you _need_ to read other people's works (the good AND the bad stuff) to figure out for yourself what makes that writing stick out to you, and you need to learn to love to edit, and to show people what you did.
The most time consuming portion of the writing process is the editing process in my opinion. It's also my most favourite part. You take a half-formed idea and you cut. And you tweak. And then you cut some more, until paragraphs start to take the shape of the story you actually wanted to tell, and sentences become so load bearing you can't remove any of them without altering everything around it. It's a puzzle with no real "solution" other than what I feel works.
Really, it's only after I kept at this for a while (and put things out there and didn't get bad comments at all!) that I started to get a little more confident in myself and begin to go to writing groups and such. It's hard work but it's worth it, just like any skill.
AI writing aside, I still think the author has a point: the customer-centric AWS/Amazon of yesterday is not really there any more, or at least appears in a form that isn't recognisable or useful to every day users.
It's the material reality of what people live through. When one is entirely alienated from the product of their own labour, what do they care for the mission and culture of a company who will fire me at an irrational whim? Better to have a vibrant life outside of work to keep oneself sane.
I went and looked at the Tiktoks. As far as I can see from the few videos I've watched it's not so much "criticism" as "plot overview, small background details, and what I liked about it".
It's kind of weird it's being framed as a tiktok sensation when there's nothing to really differenciate him from other booktokers? Other than perhaps more subscribers than usual.
Also, per the article:
> Edwards champions BookTok and also defends it...
Kind of interesting to note given his video saying he doesn't like booktok books[1]. I suppose he knows not to piss in the pond he drinks from.
The case briefing is really interesting for those that wish to read it, as it goes into a tangent defining what "is" and "isn't" information which can be considered as property