Isamu

She’s not known for the concision of her videos, true. The Feynman one is interesting to me because I also read the books about his exploits and enjoyed them.

As a reader I think you should be aware of the strong human tendency to THINK you know the character of the person you are reading about. But you should resist this temptation, because ultimately it will be a projection of your own making.

If you enjoy Feynman stories, go ahead. You don’t need to defend him or get caught up bro culture or alternatively you should be careful about denunciations of historical figures that are performative.

You should be clear about what your morals are and not base them on some historical character that you may not understand completely.

I guess I object to defining “creator” as specifically “online content creator”. Maybe there was some golden age in the past, but I think that was always aspirational and there was always a nearly power-law distribution of success. Making a living from online content was always a struggle except for the winners that made it look easy.

Needs to be 3,300 bags of something I care about. Otherwise you are talking about nonsense or voodoo.

Well if AI can accelerate the slopware -> abandonware lifecycle then maybe net gain? We can move on more quickly after setting fire to a zillion tokens.

>Broadcom will produce advanced radio frequency components — including FBAR filters

Thin-film bulk acoustic resonator

https://en.wikipedia.org/wiki/Thin-film_bulk_acoustic_resona...

>Trends to utilize RF spectrum more efficiently with higher frequencies than roughly 1.5–2.5 GHz and in some cases also simultaneously with increasing RF output power have supported FBAR technology to become one of the key enabling technologies in telecommunication realisations. FBAR technology complements and in some cases competes with surface acoustic wave (SAW) technology and FBAR resonators can replace crystals in crystal oscillators and crystal filters at frequencies more than 100 MHz.

I tried tofu dogs for the first time on the grill, they were pretty good.

I did read the article, all the way to the end. I liked the article the more that I read.

And I didn’t imply Mr Bourdain was unpleasant or anything else. My point is that you cannot conclude much accurately about a person based on their works.

Maybe controversial, but I think it’s always a mistake to idolize people instead of strictly something that they did. That’s enough, you enjoy their work, you don’t really need to turn it into an obsession about the person. You can just let the person be who they are and not some projection of your imagination.

I was looking for an explanation of how you deal with the fact that quad rotors are under-actuated, and therefore you lack the complete control authority to do any arbitrary motion in space. So path planning has to take this into account, but how is this described?

When I see “boffin” in a title I think “The Register” so kudos I guess.

I absolutely believe this, it attracts developers that can see the idealistic potential. It is worthwhile to do your part for an ideal future.

The fact that you your vision is undermined by a determined group of profiteers doesn’t diminish the value of what you can accomplish toward an ideal future.

>it'll take more than one swing

That’s the crux of this story. There is an expectation that, if you can chop something down in several swings, then one really big swing will do it, right? No. They don’t make machetes and swords like that, and also you are drastically underestimating the force required, or overestimating your strength, or both.

>An alarming number of people seem to build their intuition about the world from fictional sources, without even realizing it.

A friend of mine had a machete that they destroyed when they took a mighty swing at a tiny tree. You could put your hand around this tree but still, do you expect to chop through a baseball bat with your sword like Conan the Barbarian? Too many films depict unrealistic swordplay.

I think this is part of an anti-climate change agenda, which is about protecting fossil fuel investments. Not sure that it is broadly anti-science, except maybe in the sense of being against public funding broadly.

China has multiple reusable rocket programs, the reuse will become key to driving down costs.

Actually knitting pasta sounds pretty worthwhile.

Best comment I’ve seen today.

Wake me when they bother to define consciousness in a non trivial way.

>If a machine has to learn to understand humans to complete text, then that is what it has to do.

A language model completes text based on the overlapping patterns of the training data.

There absolutely was thinking involved… in the training data. Same as when you read a book, you engage with the thinking behind the text. The book isn’t thinking, and the author may be dead and gone, but there’s absolutely the traces of thinking in the text.

Language models produce mashups of texts they were trained on, and there’s absolutely the traces of thoughts behind those mashups.

Wow, such a great text only page with news reporting, I thought these were extinct!

AI investment and spending is frequently cited as one of the few bright spots in the economy, I wonder if the continued over-optimism is mostly about keeping the bubble inflated. If you are a tech CEO, would it be a disservice to your shareholders to express skepticism about AI?

Not quite lines of code.

The person who takes a business problem and proposes an expansive solution that requires a big team that they lead to victory, that person climbs the ranks.

The person that takes the same business problem and carefully simplifies both the problem and the solution, and delivers it themselves, is rewarded but not at all like the team leader.

And there was a definite shift from sharing toward evangelism.

For example C was shared, C++ was evangelized. The difference is the effort put into convincing people to adopt your stuff.

Java for instance was mega evangelized, Sun thought it might reverse their fortunes.

Linux was initially “here you go, hope it works for you” but then it attracted many people who decided to create an ecosystem around it.

They have something in common, which is an endless need to chase hype cycles to lure investors.

Search on “diy radio telescope”, that gave me lots of projects and videos

Oh, you mean somewhere it is tracking the statistical likelihood of the output. Yeah I buy that, although I think it just tends towards the most likely output given the context that it is dragging along. I mean it wouldn’t deliberately choose something really statistically unlikely, that’s like a non sequitur.

Agreed, I didn’t mean that DOS somehow converted it, this was a compatibility feature put into the C library.

>Linefeed (\n) is a single byte in DOS as well.

In binary mode. In text mode if you printf(“Hello World\n”) you get CRLF because that’s how text works on DOS. Unix had the convention of only requiring the LF for text. And Unix didn’t have text/binary modes. That’s the compatibility hack on DOS.

>These control codes go back to line printers.

Back to teletypes even. Believe me, I go back to line printers.

Going all the way back to the earliest C compilers on DOS. There was a decision made to make “\n” just work on DOS for portability of Unix programs, and to make the examples from the C programming book just work.

But in Unix “\n” is a single byte, and in DOS it is 2. So they introduced text and binary modes for files on DOS. Behind the scenes the library will handle the extra byte. This is not necessary in Unix.

I used to have to be careful about importing files to DOS. Did the file come from Unix?

Genuinely interesting strategy, the term “poison” should really apply more to AI that depend on Wikipedia for training

>This strategy, in a likely attempt to evade global sanctions on Russian news outlets, is now poisoning AI tools and Wikipedia. By posing as authoritative sources on Wikipedia and reliable news outlets cited by popular large language models (LLMs), Russian tropes are rewriting the story of Russia’s war in Ukraine. The direct consequence is the exposure of Western audiences to content containing pro-Kremlin, anti-Ukrainian, and anti-Western messaging when using AI chatbots that rely on LLMs trained on material such as Wikipedia.