What they forgot to add: in the same time, they’ve also managed to create more bugs than they’ve fixed, thanks to AI.

Well, MacBook Pro or also Mac Studio. Pre shortage, you could spec out the Mac Studio with 512 GB of RAM, if you had stupidly deep pockets.

Unfortunately AI doesn’t work like that. Any way to explain it would be an oversimplification but I can try.

The training data (songs) are used to create the weights. This is a bunch of numbers that are on their own meaningless - they don’t map to specific songs, but to attributes such as “tone” “rhythm”… And like that but many (millions of) abstract attributes that don’t make sense as people, but make sense to computers.

So if the thing makes a song that is very “rhythmic” but also “tonal”, there’s no specific training song that contributed to that - all did, and it’s a mess to decypher how much each contributed to each attribute. Except the resulting song doesn’t use two parameters, uses many millions, so it’s essentially impossible to know.

8bitdo comes to mind

It was at the beginning, but lately it’s been hot garbage. I think they’ve nerfed it on purpose so that the migration to gemini is an easier sell.

For me, I’m happy it now understands “hey Google, how’s my timer?” As equivalent of “how long is left on my timer” and no longer answers that question with “it’s seven fifty two pm” 😡

Yes, but at the same time can we stop marketing as “self driving cars” normal cars with a somewhat sophisticated cruise control, like Teslas, and stop pretending their “super full self driving unsupervised for realsies plus plus” is a “self drive mode”?

Well, there’s nothing yet that even resembles a comparable replacement with a different architecture (RISC-V?). So even if they were angling for that, it would have to be at least 3 years away, plus if Intel and Power PC are anything to go by, there’s another 5 years until they drop support. So at a minimum, if someone buys a M-series laptop today, they can expect support for 8 years.

Not terrible, given how Microsoft left 3-year-old computers unsupported by surprise with the TPM requirement in Windows 11.

I never had that struggle because back when I was struggling to make relationships last, I didn’t know I had ADHD.

Luckily I met someone who could understand me and be patient with me like nobody ever had. And conversely, I understand him and I am patient with him like nobody has ever done. And the catch is what seems to be a common pattern for us ND folks - he’s neurodivergent as well, which is what made things about a million times easier.

Just like queer people have a “gaydar”, it’s useful to tune in to your inner ND-radar, which for me has become easier as I read and understand more not just about ADHD but Autism, for example.

For me this has totally made my relationships easier - not in terms of finding a prospective partner because that happened before I knew, but it can help adapt your communication with friends/coworkers/managers/customers/etc. When I know somebody is autistic, I am extra conscious to not use any sarcasm, double meanings, or rely on implied context. For neurotypicals, I try to go to the point and drip feed the context if and when needed. For ADHD people I am careful we don’t go down rabbit holes for too long, but I frontload the context for my request/topic so that their brain has the big picture to work with.

Trust me, statistically you’re far more likely than not to find good friendships and a loving partner - you just don’t have a neurotypical brain chemistry so don’t hold yourself to neurotypical timelines for that to happen.

But this is only because of execs’ stupidity.

For a simple task that AI can actually do, say a boring text processing task, the API calls don’t just cost less than my salary, they typically cost less than keeping the monitor on during the time it would take me to do it.

However when companies are stupid and decide to do things such as “tokenmaxxing” or leaderboards for who can waste more AI compute, you end up with things like calling multi-trillion models to do number calculations, or passing a 300k token context into every turn of the chat and giving it your entire codebase to change two lines of code.

This one I blame squarely on stupid CEOs and execs. The smaller version of Gemma 4 is low-powered enough that can run on phones, and can output usable results for many use cases.

Isn’t this from building data centres and renting them out to other companies (e.g. Anthropic) that have AI tools/models that have at least some utility?

What I don’t understand is how the production is sold through to 2027. Assuming it’s not a fake claim,

• Are they making just a handful?
• If people were buying them to get on the list for the “hyper exclusive” Ferraris that they don’t offer to a first time buyer, could people not have bought a cheaper model?
• Was there that much demand for a Ferrari EV that people are willing to buy the Leaf-errari regardless of cost and aesthetics?
• Are there that many people that like the aesthetic despite the public opinion being seemingly so against it?
• If people who bought it are doing it for bragging rights but don’t care about the aesthetic, why are they buying this turd instead of a sports car or the SUV thing that looks kind-of-ok?

I just don’t understand…

I’ve reported it too, probably it won’t have an effect but we might as well try

Depends on what the targets are for the C-Suite, but in 2026 one could assume yes.

Like Gmail? Google drive? Slack?

I’m not defending AI, but I can come up with >10 products that would absolutely cripple the company I work at if the provider suddenly says “Soz, terms of service violation”.

Vendor reliance is dangerous. That doesn’t just apply to AI. If the company in OP’s message had both Claude and Gemini they’d been okay, so the problem isn’t with AI explicitly - the problem is with reliance on services that are critical for workflows, and providers being able to change their mind at a moment’s notice.

In any case, leaving aside where the problem is, the idea that 60 employees can’t use Natural Intelligence to do their jobs means there’s something really wrong with that company…

First of all, I’m going to say that I don’t think this comparison actually makes sense and I was just entertaining the question of the message I was replying to - humans are machines are way too different to reduce the comparison to merely “which is more energy efficient”.

But second, I compared to the same level - I stopped at infrastructure. I didn’t consider the costs (energy or otherwise) of building a solar panel or power plants in the same way I didn’t consider the costs of a frying pan, a hob, or farms. Because if we do that, then any point we make about this needs to be a 500 page dissertation, not a Lemmy message.

The good news is that data for how much material/energy is required for a solar panel is freely available, and also that a solar panel can be used for energy generation many more times than a cow.

Well, in pure energy usage, no; however if you take into account the energy usage of the whole chain, they’re orders of magnitude better.

After all, they can even be hooked up to a solar panel directly. For us to get 2000 kJ of energy, we need to water plants for a year, transport them, spend more than 2000 kJ of electricity cooking, and that’s not even considering raising an animal for x months or years which needs >5000 kJ a day to just exist. Our sun->movement energy efficiency rate is pretty appalling and orders of magnitude worse than a robot’s - even if the robot is just hooked onto the regular grid.

No matter how many times they try to make it sound like the same thing, anti-zionism is very distinctly not antisemitism.

At the risk of being called a corporate bootlicker, it sounds like it isn’t their own, it was their employer’s.

If it’s your own, absolutely, fair play. If it’s your employer’s… Then it feels murkier. I wouldn’t blame their IT department for being quite cross if/when time comes to upgrade and return the laptop and give it a second life. For example, I would be quite pissed if IT gave me a defaced laptop like this as a loaner while mine is getting repaired.

I don’t think it’s quite like that, I think it’s more that an important part of these drugs is the release mechanism - and any two given brands will work differently for a given person.

I take long release methylphenidate (Ritalin/Concerta being the most known brands). I started with Medikinet because that’s the main recommendation from my healthcare provider. It turned out it releases most of the dosage in the short term and at 40mg doses I constantly felt like I was at an airport with my boarding gate closing in seconds.

Moved to Meflynate, which is also methylphenidate hydrochloride, and now I’m a happy bunny.

My point being - it’s not that generics are bad necessarily, it’s more like, only a certain brand(s) will work for you. Whether for you that’s the more expensive or cheaper one, it’s a bit of a lottery really.

I have never seen “immense” spelled that way!