If they were cash flow positive they would tell it to everyone, be sure of that.

Anthropic is currently in an IPO quiet period and cannot publish such information.

https://keybr.com is also a really good tool to learn typing on your keyboard.

I’ve used https://www.typingclub.com for learning touch typing from scratch.

It has worked really well for me

this one actually did get me typing faster. and also helped me get over my desire to look at the keyboard.

it’s been a while since I used it but I recall it being good at targeting certain patterns that you struggled with.

this one is good. I tried now. thanks

It will only cost you $200 in RAM, definitely a good time to raise the minimum/recommended specifications.

It's only a change on paper, in reality it was unrealistically low for a long time

Is that ever since 1.8 made the whole game engine vastly less efficient? The game used to run with 256MB.

> The game used to run with 256MB.

These are system requirements - not how much the game actually uses.

There's modpacks, e.g. fabulously optimized. It makes mc playable but 256MiB basically gets you to the Java runtime nowadays.

Less efficient but faster, which is a fun combination. At least they seem to have improved FPS.

That's probably because you got a new graphics card some time in the last 10 years.

The stuff they're rendering has to come from somewhere.

They go hand in hand, the bigger the render area, the more game has to be simulated at once.

Not true. Render distance and simulation distance were decoupled years ago.

It's possible to simulate less than you can see, but it's pretty undesirable. The recommendations scale with this.

A friend of mine, a dermatologist, told me that LLMs are quite performant for melanoma analysis. Based on their own statistics, LLMs are able to beat humans with ~10 years of experience in the field.

They will never beat the human instinct tho, but they can be great tools sometimes. Unfortunately, LLMs mostly produce garbage.

Whenever it comes to medical diagnosis I would caution anyone to be careful with what “beat humans” really means.

In real life pathology is a spectrum not a binary and physicians are not trained to be 100% accurate instead optimizing sensitivity and specificity considering pretest probability as well as the harms of overdiagnosis and under diagnosis for a given scenario.

For something like melanoma which is relatively easy to diagnose with a superficial, extremely low risk skin biopsy and where early staging dramatically improves outcomes you would want to design around overcalling (high sensitivity) rather than maximize accuracy given the significant harms with false negatives and minimal harms with false positives.

An AI may be more accurate at classifying melanoma/not melanoma but if it does not meaningfully improve on the clinical threshold of biopsy/no biopsy or result in less biopsies that accuracy is wasted and may even be detrimental.

Note: I am just using this as an example to illustrate the considerations.

You do realize that today’s multi-modal LLMs are actually able to understand images? They’re tokenized very much like language is.

I use French nearly all the time, it works well. Not that I can't write English prompts, but I find it easier to use my native language.

Kagi Maps isn't bad, it's slow but POIs are there with enough data.

Misprediction is?

Actually, you can do that with Firefox, either per site or as a global policy.

https://superuser.com/a/1317514

Big thanks for that!

damn!- was sitting in the Fx queue for TEN years: https://bugzilla.mozilla.org/show_bug.cgi?id=380637

It is true, it's the official pricing of GitHub Copilot.

Why is GitHub sticking to per-request pricing when other providers switched to per-token for the high performing models?

More likely loss leader to market capture. Not unusual for MSFT. XBox One, Razor and Blade, etc.

Maybe MS wants people to use Co Pilot.