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How many tokens are you getting, roughly?

They've recently added a ton of detail to the pricing page, but you'll have to calculate out tokens/month from that: https://opencode.ai/docs/go/#usage-limits

Supposed to get $60 worth.

For deepseek-v4-flash: a shitton of tokens for $5.


I found LLMs circa 4 months ago to be decent at textbook-style electronics, but they choke at anything nontrivial. They approach things like someone that knows the undergrad and grad textbooks, but has absolutely zero experience. No ability to answer questions such as "is this adequate", "do I need a LPF here", "how do I kill resonance without increasing impedance", etc.

I'm guessing that this is due to a lack of RL and data.


Old textbooks. They love 741 op-amps, etc.

There is always a better choice than a 741 for new designs, but somehow people still use those things too.

That pig can hardly dance...

Why does it work for Red Bull?

Because they don't need to release a better gimballed 8k 360 120fps action camera every year.

It worsens the supply crunch, no? A unit you use sparingly vs that memory going into a GPU that serves many more people.

Those will use different wafers, so unless that memory is allocated for unified memory vs gpu HBM it won't make a difference.

What supply crunch? Tons of RAM available for purchase. It's just expensive. That there is a "supply crunch" is made up to benefit from Trump administration not giving a shit how big corps operate

There's cloud hosts out there with unused compute. Wasted cycles are all over businesses running unused cloud apps and subscribed to services they don't use.

Still need a local computer to access the cloud; so a barely used gadget still exists. And this creates duplication of effort; we built RAM for servers AND the edge devices.

Seems redundant when tech nerds and corporations are really the only people that care.

And all that data in the web is meaningless yet we create a supply crunch storing it in servers.

This an out of touch nickel and dime perspective given the big picture to say nothing of the mess of strip mining and manufacturing pipelines that go into every screw, wire, and such


If you need that precision, especially for position and not values, why use floats at all?


Explicitly trying to re-identify data that has been de-identified is typically a fireable offence at FAANG.

Accidentally making a machine learning system that happens to (potentially) do it is a different matter.


Modern corporations have learned that the best way to do shady things is to make it very clear that such things are against policy and absolutely forbidden, and then to also make it very clear that breaking policy is the only way to actually get your job done. That way they still get all the benefits of doing shady stuff, and if it ever comes to light then they can fire some scapegoats and explain that this was against policy and they'd never ever condone it.


this isn't even a "modern corporations" thing, at least in my experience.

i remember ~25 years ago being on-call with a work truck. we were absolutely not allowed to speed, at all, ever. we also absolutely had to be at the customer's site within 45 minutes of being called.

guess how many of my sites were >45 minutes away when traveling the legal speed limit.


I was thinking longer term. It feels like something from recent decades, whereas a century ago the boss would just outright tell you to do the bad thing. That's just my vague impression of the matter. Maybe this sort of thing goes back forever. In any case, excellent example, exactly the sort of thing I mean.


Oh hey, that's cheaper than Kimi K3! Amusing to see a SOTA OpenAI model be cheaper than a Chinese open weight model.

Fwiw I love K3 and use it as a daily driver. I haven't tried Sol, as I dislike OpenAI.


I made the move some time ago. There are some unpolished parts here and there, but I'm glad I made the move.

Somewhat unrelated criticism of Gmail - during the migration, I found out that there is no way to search for starred archived emails in Gmail. They don't show up in Starred, nor in any search with is:starred. Their star status also doesn't carry over when migrating.


Awesome. I'd love if Flutter could also finally get Impeller on Web (I'm tracking the GitHub issues, seems like there's progress at least).

I personally would like for it to pick up some ideas from Svelte.


In one of their dev surveys, they did float the idea of divesting Flutter.


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