Articles like these always miss the forest for the trees. Like retro-futurism that devised ever more futuristic ways for housewives to smoke while doing the laundry and making future meatloaf.
> It’s Monday morning in 2040 and you log into your cloud AI account to get work done.
Humans aren't gonna work: that's the point. They'll only "work" for fun: the way we now "work" on sewing a pillowcase or the way kids "work" on making a gift for Mother's Day.
If you want real output, humans shouldn't be in the mix. If you want human output, that's the only time they should.
It wasn't a debacle. It was somebody announcing world-changing results and somebody else rushing to prove or disprove that, since if it's correct, it's world-changing. It wasn't correct.
This is the first time I've seen praise for GPT 6.0 Sol: it's widely disparaged on Reddit and here in the HN comments too. My own experience likewise shows 6.0 making loads of silly mistakes, both for things 5.6 Sol is good at and things 5.6 Luna Xhigh is good at.
well i could certainly be in the wrong; i'm just speaking from my personal and likely flawed experience but i feel like i've noticed silly mistakes in every (llm) model that has been released (and that i've sufficiently used) and it hasn't felt like 6 Sol was much of a regression from 6 Astra (more than reported in both model cards), both of which ive very extensively.
not saying this is the case here but it does feel a bit like wine tasting sometimes, everyone claims to be an expert that can taste a few tokens and tell you exactly what region and vineyard its from.
Yes, the MBAs won’t like it. But maybe, once in a while, companies should do things because they are cool and not because it clears some threshold on a magic spreadsheet.
I’d even settle for Apple opening up the Music app so I can upload music to my iPhone from Linux. But once again, that doesn’t make the spreadsheet sparkle.
iTunes Match (these days it's just under the umbrella of 'iCloud Music Library', I believe) is probably the greatest value Apple offers.
I have a local collection of over 30,000 mp3s, about half of which is not 'matched', and a sizable chunk of which is not available on streaming anywhere, and I have it on all my devices seamlessly, included with the price of an Apple Music subscription. (which I also use for convenience for listening to things I don't have my own copy of yet).
You might be surprised. Companies like HiBy have a rather healthy music player lineup[0], where "fewer distractions" is an explicit marketing point.
Similarly, despite rather capable smartphones being available for as little as $100, the "feature phone" market is still doing quite well - and it definitely isn't just the grannies who are buying them!
Steve Jobs famously launched the smartphone industry as "We are launching three things: an iPod, a phone, and an internet communicator. These are not three separate devices. It is one device, and we are calling it iPhone." Not having to carry a whole bunch of separate devices on a day-to-day basis was groundbreaking, and it was immediately clear that the synergy between the until-now separate features would open up a lot of new possibilities.
But since then the smartphone has mutated from a device of convenience into a grotesque attention-stealing privacy-invading Everything Device, which is used primarily as a proxy through which companies are doing massive harm to our society. For many people smartphones have become a necessary evil, and an increasingly-large group (many of whom Gen Z or Gen Alpha!) is deliberately refusing them out of self-preservation.
Sure, the market for a modern iPod refresh might not be gigantic, but I reckon it is definitely larger than the market for Apple Vision, or Meta's pervert glasses. The demand exists, the question is just whether it is large enough for Apple to care - especially when it means undermining their own golden goose app ecosystem.
> But since then the smartphone has mutated from a device of convenience into a grotesque attention-stealing privacy-invading Everything Device, which is used primarily as a proxy through which companies are doing massive harm to our society. For many people smartphones have become a necessary evil, and an increasingly-large group (many of whom Gen Z or Gen Alpha!) is deliberately refusing them out of self-preservation.
Right. The Jobs vision was still an accessory. An advanced and staggeringly capable one, but an accessory nonetheless. It hadn't yet become an inescapable, addictively-designed pillar of daily life.
People are also coming back around to the idea that convenience isn't the only thing that matters and that a "split device" lifestyle can even provide hobbies with associated communities for those who partake. Curating a music collection comes naturally after picking up a dedicated offline music player and getting into photography more seriously follows buying an old secondhand standalone digital camera, for example.
Canada only enforces the parts of its Charter the current government feels like, and actively does the opposite of its Charter when the current government feels like it.
It sounds like you’re still writing code by hand and reading and reviewing code.
For that any decent model from the past year will do.
If you want to forget how to write code and not read generated code, then you need a very good frontier model, ideally one from 6-12 months in the future.
> It sounds like you’re still writing code by hand and reading and reviewing code.
This is such a naive, baseless opinion.
Nowadays any AI coding assistant service supports or can be used with sub-agent orchestration frameworks.
If you are in the business of software factories, you can use the cheapest models and even local models to handle some if not all tasks in the orchestration chain.
Adding tests or executing tests (unit, integration, UI, you name it) doesn't require a cutting edge frontier model. Neither does refactoring. Neither does identifying call stacks. Neither does planning a changeset.
You have your specialized subagents, you put together a small orchestrator subagent that handles feedback loops and handoffs,and you throw it at tasks.
For the past couple of months, most of the code I write is not code per se, it's subtask orchestrators. And unlike the old "only Opus is passable" days, the cheapest models do get the job done.
I used to read the code till around May. Now I don't. Instead I validate behavior. And have multiple LLMs verify that the code implements my handwritten spec.
MiMo 2.5/2.6, MuseSpark 1.3, DeepSeek V4/4.1 Flash and GLM 5.3 Flash are perfectly capable of following my spec and then poking holes in the implementation till there are none left.
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