When a device goes to sleep, I don't expect it to interact with anything, even if I didn't deliberately turn off all wireless communication.
Apple is the only one doing this. I've had dozens of linux and windows devices by now, and Apple are the only ones to aggressively maintain or connect to wireless while sleeping.
ran into a lot of breakdowns along the way, but we’ve managed to fix most of them. There are still a few issues with the download feature, though.
I would hope an LLM could spit out a cobbled form of answer to a common interview question.
Today a colleague presented data changes and used an LLM to build a display app for the JSON for presentation. Why did they not just pipe the JSON into our already working app that displays this data?
People around me for the most part are using LLMs to enhance their presentations, not to actually implement anything useful. I have been watching my coworkers use it that way for months.
Another example? A different coworker wanted to build a document macro to perform bulk updates on courseware content. Swapping old words for new words. To build the macro they first wrote a rubrick to prompt an LLM correctly inside of a word doc.
That filled rubrik is then used to generate a program template for the macro. To define the requirements for the macro the coworker then used a slideshow slide to list bullet points of functionality, in this case to Find+Replace words in courseware slides/documents using a list of words from another text document. Due to the complexity of the system, I can’t believe my colleague saved any time. The presentation was interesting though and that is what they got compliments on.
However the solutions are absolutely useless for anyone else but the implementer.
Likewise listening to commoners- maybe this was done for show with some well cleaned up subjects every so often , or maybe it was a genuine practice , we don’t really know.
To be fair, I also don't like using Copilot when working on code. In many cases it turns into a weird experience when the agent generates the next line(s) and I basically become a discriminator judging if the thing really understands my problem and solution. To be honest, it's boring even if eventually it might make me turn in code faster.
With that said, I cannot ignore that LLMs are happening, and this is the future. The models keep improving but more importantly, the ecosystem keeps improving with things like MCP and better defined context for LLM tools.
We might be looking at a somewhat grim prospect. But like it or not, this is the future. Adapt and survive.
1. LLMs are a new technology and it's hard to put the genie back in the bottle with that. It's difficult to imagine a future where they don't continue to exist in some form, with all the timesaving benefits and social issues that come with them.
2. Almost three years in, companies investing in LLMs have not yet discovered a business model that justifies the massive expenditure of training and hosting them, the majority of consumer usage is at the free tier, the industry is seeing the first signs of pulling back investments, and model capabilities are plateauing at a level where most people agree that the output is trite and unpleasant to consume.
There are many technologies that have seemed inevitable and seen retreats under the lack of commensurate business return (the supersonic jetliner), and several that seemed poised to displace both old tech and labor but have settled into specific use cases (the microwave oven). Given the lack of a sufficiently profitable business model, it feels as likely as not that LLMs settle somewhere a little less remarkable, and hopefully less annoying, than today's almost universally disliked attempts to cram it everywhere.
Another several unfounded claims were made here, but I just wanted to say LLMs with MCP are definitely good enough for almost every use case you can come up with as long as you can provide them with high quality context. LLMs are absolutely the future and they will take over massive parts of our workflow in many industries. Try MCP for yourself and see. There's just no going back.
This is why, despite being great conceptually and story-wise, ultimately I did not like Neuromancer. Plenty of other novels have tons of in universe jargon but don't feel as exhausting to read as Neuromancer. For instance, Tolkien invented multiple fictional languages and his books tend to have 100+ pages of appendices explaining everything, but his prose flows so naturally.
Perhaps Neuromancer would benefit from an ebook edition incorporating a recent CRPG video game innovation, where in universe terms in text are highlighted and you can click/tap on the highlighted terms to get a little tooltip box explaining what the term is.
A bigger UX problem (on Linux) imo is the multitude of clipboards, we have x11, vim... Those can be synchronized or not, they manifest different behaviors...
And btw while apple is often offered as some golden standard for key bindings, I think the situation there is much (MUCH) worse: apps often intercept and handle common combinations on their own, with unclear precedence, which leads to non-deterministic behavior and a complete mess if you want to override any standard combination.
While I grew to accept some advantages of my Mac can't be easily replicated in other platforms, I think it is severely lacking in basic features, user experience and it's still occasionally infuriating even in 2025.
I do have a very long list of Mac gripes, as is probably deductable from this comment.