detrites

Studied by whom for what goal? They're also some of the most astutely-avoided substances, with various products proudly proclaiming they don't contain them. Such markets could well potentially exist due to user experience trumping studies.

Reframed: "iOS 17 arbitrarily modifies links you click on".

I'm guessing they mean something like icons, or colour-coded tiny-font words with borders "lake", "city", "village" etc, on each title, to be able to tell at a glance what the different places are without having to expand them.

We'e seeing this one, but it contains no relevant content, so wouldn't be surprising if it was soon flagged.

EDIT: here's what appears to be the intended comment, it's about surveillance and is interesting: https://news.ycombinator.com/item?id=36245520

Yes, that's what I meant - but looking through it it's pretty straightforward, so maybe it's not totally necessary. Helpful for beginners though, and also faster for anyone to learn the parts of the codebase that are important to pay attention to.

Maybe it's silly, but I guess, relevant - I also find it just exciting to read a post filled with syntax-coloured monospace boxes strewn through it. Maybe others feel the same? Possibly it's like the code equivalence to diagrams and illustrations.

This is a nice dev diary describing the various API's used and how the site was put together. Be great if it included more detail (ie, code!).

"Hyping"? My own opinion was presented as-is, without any exaggeration.

Anyway thanks for the links!

Absolutely mad history here:

https://news.ycombinator.com/item?id=20569438 (2019)

As a teaser, from the above:

> For those not aware of the background, the author is a wizard from a secretive underground society of wizards known as the Familia Toledo; he and his family (it is a family) have been designing and building their own computers (and ancillary equipment like reflow ovens) and writing their own operating systems and web browsers for some 40 years now.

What I mean is when a particle travels back in time, the universe branches forward in parallel, from that particle, at the instant it arrives. This resolves all paradoxes as the independently instantiated time streams can't interact.

I believe there are present theories of time/space that rely on this kind of idea.

It also might mean any time traveller could never get back to the exact "when" they came from. Though if there was a way to traverse parallel time streams, there'd be no paradox as the moment they arrived "back" would also branch.

> The freezing order only applies Binance’s two U.S. holding companies, not to the non-U.S. regulated international exchange.

Yeah. I guess that's it right there. o_O

GGML is essentially a library of lego pieces that can be put together to work with many LLM or other types of ML models.

Meta's leaked model is one for which GGML has been applied to for fast, local inference.

Maybe it's emptier than it should be because that's how the universe is always made to appear to emergent civilisations at the dangerous and volatile point of evolution we presently find ourselves at?

Maybe every instance of time travel the universe splits in two, to prevent all the causal loop paradoxes etc?

Ie, time is always a tree branching, and traveling back in time doesn't change that?

Because commercial pilots are in control of aircraft flying over densely populated areas, and often responsible for the lives of hundreds on board. A navy pilot typically just has the expensive aircraft and is somewhat expected to be crazy.

So, if a commercial pilot does see such things, they'd be far less likely to report them, as it may well ruin their career. Navy pilots, on the other hand may well get some commendation for identifying an unusual, or anomalous thing (enemy tech?).

May also be worth mentioning - UAE's Falcon, which apparently performs well (leads?). Falcon recently had its royalty-based commercial license modified to be fully open for free private and commercial use, via Apache 2.0: https://falconllm.tii.ae/

The SEC issues fines. To them it's taking a cut, to Binance etc, it's operating expenses.

These "enforcements" are more like protection money paid to gangsters. The SEC could have created clarity a decade ago.

It's not in their interest to do so, plain and simple. They are incentivised financially, to persist in creating a lack of clarity, and then randomly "enforcing" inconsistently to extract multi-millions off of effectively approved profits.

If / when they refer cases to the DoJ, it's different. But, typically they don't, because typically most of the players they're going after are doing their best to comply with the "uncompliable" landscape they are facing. Or - they're FTX.

And let's just remember that, always. The SEC, effectively, gave FTX a green light. Maybe the most damaging crypto fail in history likely an outright fraud, of massive proportions and where was the SEC? That's what we're dealing with here.

You're comparing training a model from scratch in ML, to the equivalent of model fine-tuning in humans. It's unfair and incorrect. Eg, no human can drive without first learning to operate their limbs, recognise shapes etc.

The GP is pointing out that training in fine muscle motor skills, self-awareness and ability to project self-awareness to other objects under ones control etc, all took many thousands of years to develop. AI is faster.

However, it's again unfair, as AI only knows what it knows from us, so in that sense any comparison is built on shaky ground.

But for the purposes of comparing a stock human brain as hardware, versus a current high-end GPU specifically in terms of ingesting information and then perform tasks, the GPU beats the human brain "hands-down" in any category.

The only categories it doesn't are simply ones that no one has trained it to yet - so the argument on a pure hardware capability basis stands.

Consider trying any VR headset first, the interface has a few unanticipated effects for many people. Eg, nausea, headaches, dizzyness etc. A "productivity workflow" might only last half an hour before you're fatigued from its innate unnaturalness.

It's the front of a desktop tower, except it looks exactly like a cheese grater and triggers some peoples visual phobias. While it's claimed functional for quiet airflow, it's also possibly Apple's worst visual design, ever.

With enough time, you can boot Linux with a pencil and paper. The amount of time needs to be practical, in order to be able to be useful to do stuff. That is maybe what is expected from "runs". Eg, a device can't run Doom if it is unplayably slow.

Funny, the commenters saying "I thought it was...". I saw "jart" in the github URL and immediately thought it was a tiny open source commandline executable packing a host of amazing/useful functions for low-level cross-platform dev.

Roughly twice the cost an identically-sized RP2040 Pico (both 51mm x 21mm), but 6x clock, with 250x the RAM, miniSD slot, USB-C and optional ethernet connect. Freaking awesome.

(And to show my clock working here: a stock RP2040 is two cores @ 133Mhz each. This board's 1Ghz + 700Mhz. 1700 / 266 = 6.4x. Not sure how apples to oranges arm-thumb/risc-V is though?)

Here's the non-size-limited competition winner, for the curious. It's freakin' incredible - and 23 minutes!, but you can skip from 5m - 8m (I think extended for music):

https://youtube.com/watch?v=CxkTwJoAzBE

Elegant, concise and simple:

  const const const delete = delete delete!

Cannot imagine a neater form with which to express such a concept in another language.

Here you go:

https://8bitworkshop.com/v3.10.1/?platform=c64&file=hello.da...

Also has NES, Sega Master System, ZX Spectrum, etc.

For those like me, who haven't seen this odd notation before:

168h / 24h = 7d

> efficient methods in training, inferencing and fine-tuning these AI models that doesn't require lots of data centers, TPUs, GPUs, etc.

Exactly the types of problems future AI models could solve.

Dire climate alarms are based on the predictions made using models. As modelling advances as a field, both predictions, and solutions become more and more voluminous and accurate, along with revealing mistakes and failures of prior models.

Anyone concerned with climate should rally behind this kind of general progress. Further, it simply is progressing, and fields that don't embrace it, will be left behind. We're in the midst of an unprecedented revolution which touches all.

As someone also unfamiliar, this exchange seemed to summarise it, unless someone else can offer correction or additional context:

https://news.ycombinator.com/item?id=36128144

Just put the count on a hover tooltip - everyones happy, no size limitation, still serves as a deterrent (dubious as it may be to try incite suchlike on users who may have shelled out enough for a machine that can handle hundreds of tabs).

Preferring a storage medium for its reliability regardless of the amount of writes it endures is utility - I could see that might be preferable to SSD in some specific case. Maybe there are other upsides, eg, it's often much cheaper.

Regardless, some people drive an old, dangerous, slow, gas-guzzling car - and maintain it at great expense - just because they prefer it. Aesthetic and sentimental appeal is highly personal and knows no bounds.