(Guessing JS / TS) I look after a moderately sized app, and still find console.log() useful sometimes. They are all protected by a Boolean, so we have authLog && console.log('something about auth') and the bools are all set in one global file. So turning debug logging on and off is very simple.

The best thing is that when it’s off, the bundler strips all the console log lines from the source, so they’re not even there-but-inactive in production.

Hibernate is S4 which is very low power but not zero. Some devices like LAN, keyboard, and USB can remain powered so your battery will eventually drain.

Do you work for Boeing?

I think maybe a re-read is in order. They’re claiming the new format outperforms the (presumably) old format by 28%, not that the CTR is 28%.

Plot twist—they work for airbus.

Is that a frickin rotating chair?

The paper mentioned how the images were processed (chopping 10% off some to remove name, age, etc). But all were from the same centre and only pixel data was used. Given the other work referenced on retinal thinning in ASD disorders, maybe it is a relatively simple task for this kind of model. But they do say using multi-centre images will be an important part of the validation. It’s quite possible the performance would drop away when differences in camera, etc. are factored in.

They’re cross-eyed, and there’s a great little nonsense squiggle above them.

I think it says “NETFLIX”

NOTE: Netflix is a popular internet video streaming service

You’re welcome?

I appreciate your use of the, often abused, parenthetical comma.

It’s very interesting but the article is a rehash of some 2-year-old work by others, and doesn’t really update anything, apart from saying that “apparently, Apple addressed this problem.” with no further clarification. Pretty low effort tbh.

It’s a great analysis, and I don’t disagree with anything you said (mostly because you’re better informed than I am). But you nailed it with “Why would I need this? I don’t know yet.” It should all be driven by need—the fact their are more options is great, but doesn’t mean they should be used just because they’re there… For many hobbyists, ease of access and speed to get started is the main driver, and for those cases, pre-built boards are the answer.

I remember talking to a car manufacturer in the early 2000s who said it would be relatively easy to make cars to a custom length / load space. But they tend to make specific models because if you give people too much choice, they get paralysed and don’t choose anything.

I suspect it’s not quite that simple but the principle seems sound.

PSP is travelling at 394,736mph. Voyager 1 is about 15 billion miles away and travelling at about 35,000mph.

Time taken to catch up t is roughly 394736t = 15000000000 +35000t or about 4.75 years.

I find your excess of faith disturbing…

Just going for cigarettes…

I’m going to get back to watching that later.

Much like the birds tweeting. Maybe it’s all about the mating … :)

Isn’t wearing a silly hat just an exaggeration of wearing a normal hat?

I’ve had most success explaining LLM ‘fallibility’ to non-techies using the image gen examples. Google ‘AI hands’, and ask them if they see anything wrong. Now point out that we’re _extremely_sensitive to anything wrong with our hands, and so these are very easy for us to spot. But the AI has no concept of what a hand is, it’s just seen a _lot _ of images from different angles, sometimes fingers are hidden, sometimes intertwined etc. So it will happily generate lots more of those kinds of images, with no regard to whether they could / should actually exists.

It’s a pretty similar idea with the LLMs. It’s seen a lot of text, and can put together words in a convincing-looking way. But it has no concept of what it’s writing, and the equivalent of the ‘hands’ will be there in the text. It’s just that we can’t see them at first glance like we can with the hands.

Who keeps a Costa wrap long enough to see a recall?