I’d like somebody to explain to me how the endless comments of "bleeding edge labs are subsidizing the inference at an insane rate" make sense in light of a humongous model like v4 pro being $4 per 1M. I’d bet even the subscriptions are profitable, much less the API prices.

edit: $1.74/M input $3.48/M output on OpenRouter

A mac with 256 GB memory would run it but be very slow, and so would be a 256GB ram + cheapo GPU desktop, unless you leave it running overnight.

The big model? Forget it, not this decade. You can theoretically load from SSD but waiting for the reply will be a religious experience.

Realistically the biggest models you can run on local-as-in-worth-buying-as-a-person hardware are between 120B and 200B, depending on how far you’re willing to go on quantization. Even this is fairly expensive, and that’s before RAM went to the moon.

And here we have another release. The benchmarks are just a tiny bit worse than qwen3.5 (for far less tokens). Am I to take it that the model is worse? Or does qwen’s benchmaxxing mean that slightly worse result of non-qwen models means a better model? I’d rather not spend hours testing things myself for every noteworthy release.

Ah well. Mistral has been fairly decent so worth taking a look. Obviously they’re behind the big 3, but in my experience their small models are probably the best you can get for several months after each release. I’m not sure how it works as a sales funnel for their paid models, same as with chinese models - people likely just go for google/openai/anthropic in this case - but I’m thankful for their existence.

There’s also the motivation factor. I’m not sure of the total %, but I certainly did some exercising just to fill the daily goal. Nothing life-changing, but for the price of a cheapo apple watch se once every 5 years or so, more than worth it.

It’s not unlike simplistic time tracking on my iphone. I spent a lot of time on bullshit websites. Obviously I knew it was happening, but the sheer magnitude was surprising. It’s akin to acute pain letting you know there’s a health problem vs something brewing in the background that you are vaguely aware of, but have no motivation to truly care about - one is far more noticeable than the other

But macOS? Good lord. I can only hope 27 will unfuck things somewhat, there are so many small annoyances and all of them add to a constant sense of unhappiness throughout the day. I’m really tempted to downgrade back to Sequoia. At least the M4 will be good enough for years if this truly is the new path Apple will take.

I don’t really care if a bunch of reckless kids want to gamble with their lives, but the place to do it is clearly on the street, not on the sidewalk. Those ebikes are pretty much dirt bikes, and nobody sane argues those should slalom between pedestrians, just like cars or motorcycles don’t drive on sidewalks. I don’t want to constantly be on the lookout for a 60 kmh vehicle careening right into me whenever I’m outside, which increasingly happens with food delivery "bikes" as well. There’s no place for them on crowded beaches either.

Wanna go as fast as cars? Cool, do it on the streets, it’s what they’re built for. Helmet (or even clothing) optional, I suppose, it really isn’t my problem.

The base ipad is "really big iphone, with a few laptop-esque features". It's reasonably cheap for what it offers, especially if you want a highly mobile media consumption device and handwritten input.

Then there's ipad pro, which is wildly overpriced for its specs -- m4 pro has half!! the ram that the cheaper m4 macbook air has, which is laughable for a 'pro' anything, especially if you have apple intelligence enabled - you get what, 3GB of usable ram once you take OS and apple intelligence into account? Yet, aside from the crazy sticker price, the hardware is a lot better - the 120 Hz OLED display looks amazing and is way brighter, the speakers are quite an upgrage, full blown thunderbolt port for external display and so on. The OS is still toy-like, and ram is pitiful, but there is place for an ipad pro.

And then there's air which is... base ipad with an M-series chip and pretty much nothing else? The display is barely any better than base ipad, the storage and ram are pitiful, the speakers are from the baseline ipad and so on. Just about the only saving grace of the M4 one announced here is 12GB ram, which is the absolute lowest those really ought to have, and really puts into perspective how utterly miserly Apple was about ram pre-AI. I don't understand the value proposition - you want the baseline you buy a much cheaper base model, you want more you get the pro, right?

To be fair the asking price is far less than pro but the upgrades over base model seem so minuscule that I just don't know.

I wish I had a laptop earlier - or even better, a tablet with a good pen and attachable keyboard. I’m struggling to think of a disadvantage vs dead tree [note]books. Doodle right on the pdf textbook, dump things to remember into some flashcards app, have notes as searchable files / the ability to share them with everybody, or just a calendar of what’s happening when so you’re not surprised by a test that was announced when you blew off school for a day to do stupid teenager things.

The only actual issue is that computers are excellent slaves but terrible masters, and it’s a lot easier to get distracted by doom or tiktok when you got a computer you’re actively using. Yet surely this is solvable? Given how annoyingly locked down the average company-given dev machine is, surely it’s possible to restrict it for students during school time? It should certainly be much easier than to control private smartphones.

To solve it once and for all you’d probably want to extract the length of all displayed videos and hide all that fit within the short’s limits

"This rerouting is related to our efforts to protect our profit margins. The $current_top_model is our most expensive model to date. It can be used as an effective tool to get semi-useful results, but it can also be exploited for using a lot of tokens which costs us money, and we take profitability seriously. When our systems detect potential excessive token generation, they reroute to a different, less-capable reasoning model. We’re continuing to tune these detection mechanisms.

In the meantime, please buy a second $200/mo subscription."