setsubyou

The EU forced Apple to allow other rendering engines, but implementing one costs money vs just using WebKit for free, so nobody does it.

very few who even touch AI for anything aside from docs or stats

Not even translation? That’s probably the biggest browser AI feature.

The real ugly Optimus is a bunch of StreamDecks next to each other

Since sugar is bad for you, I used organic maple syrup instead and it works just as well

A Chinese university trained GLM

A startup spun out by a university (z.ai). Their business model is similar to what everybody else does, they host their models and sell access while trying to undercut each other. And like others they raised billions in funding from investors to be able to do this.

But also they are just tuning and packaging a publicly available model, not creating their own.

So they can be profitable because the cost of creating that model isn’t factored in, and if people stop throwing money at LLMs and stop releasing models for free, there goes their business model. So this is not really sustainable either.

Die Art Erklärung kommt ja jetzt öfter, aber ich finde das ist etwas zu schnell geschossen. Also, natürlich nicht falsch, aber zu sehr auf einen Aspekt eingeschossen.

Erstens, der Carnot-Wirkungsgrad gilt wie üblich in der Physik für stark idealisierte Systeme die überhaupt nichts anderes tun. Also keine Interaktion mit der Umgebung etc. Da wären dann auch 80%-90% denkbar, aber in der Realität ist eine Kuh kein masseloser Punkt im Vakuum und reale Motoren haben entsprechend ca. 40%. Die sind also nicht von Zweiten Hauptsatz der Thermodynamik begrenzt sondern vorher noch erstmal von ganz anderen Dingen.

Zweitens weiß ich nicht, wieso wir bei “effizient” überhaupt zuerst an den Wirkungsgrad des Motors denken. Klar kann man Autos effizienter, billiger und umweltfreundlicher machen indem man den Wirkungsgrad erhöht und dadurch mit weniger Treibstoff die gleiche Arbeit verrichtet. In der Realität haben wir Autos aber zu einem großen Teil mit besserer Aerodynamik effizienter gemacht. Und die hat mit dem Wirkungsgrad des Motors nichts zu tun. Oder mit der Art des Motors ansich.

Auch energiedichtere Treibstoffe wären denkbar, oder leichtere Materialien, usw. In der Realität hat sich das halt nicht rechtzeitig ergeben bevor die Elektroautos überholt haben, aber am Wirkungsgrad des Motors alleine hing das auf jeden Fall nicht.

Wenn der Wirkungsgrad des Motors alles entscheiden würde, könnten wir ja bei den Elektroautos jetzt aufgeben. Da ist der Wirkungsgrad ja schon hoch und mehr als 100% geht nicht, dementsprechend ist da eh nicht mehr viel zu holen. Das ist aber natürlich Quatsch, weil der Wirkungsgrad in der Realität eben nur einer von vielen Faktoren ist und nicht mal wirklich der wichtigste.

Wo der Wirkungsgrad dagegen wirklich ein Totschlagargument ist, sind die E-Fuels. Da haben wir einen direkten Vergleich was ein Elektroauto mit X Menge umweltfreundlich erzeugten Strom an Arbeit leistet, vs den Verbrenner mit Treibstoff der mit der selben Menge Strom hergestellt wurde. Weil da nicht nur der Wirkungsgrad vom Motor schlecht ist, sondern auch bei der Produktion des Treibstoffs der Wirkungsgrad schlecht ist, fällt der Vergleich natürlich katastrophal aus zu Ungunsten der E-Fuels.

I had some video glasses ages ago that could do that too. Like 15 years ago. I can’t recall a single game without problems. UI was the biggest issue. Often UI elements were at nonsensical 3D positions, and while you wouldn’t notice this on a normal screen, the glasses tried to render them in the center of my brain…

And before that I had an nVidia graphics card in the late 90ies that came with shutter glasses. The driver could do stereo for “everything” too, however for me “everything” was one game where I could get it to work.

It’s popular because it appears in the opening of the anime Slam Dunk, which plays in the Shonan area.

No I haven’t watched the anime, I found out about it a couple years back when I was confused why there were so many people there.

The design was selected after the city government invited public submissions to promote Kamakura.

…

“We decided on the suspension because some residents thought the design helped attract visitors and found this unpleasant,” a member of the city’s tax division said.

I want to post the surprised pikachu meme but I actually have severe doubts that this is what’s attracting the tourists taking pictures at the crossing…

We need to start posting this everywhere else too.

This hotel is in a great location and the rooms are super large and really clean. And the best part is, if you sudo rm -rf / you can get a free drink at the bar. Five stars.

How do they mess this up so bad?

They made their devs use copilot.

Tbf the company doesn’t seem to spell out jialichuang or printed circuit board on their web site either, so maybe the author didn’t know.

Reminds me of Of Mice and Sand

On Mac:

If you want an icon you can double click on your desktop, you can put you command in a file with the extension “.command” and mark it as executable. Double clicking it will run the content as a shell script in Terminal.

If you want something that can be put into the Dock, use the Script Editor application that comes with macOS to create a new AppleScript script. Type do shell script "<firefox command here>" then find Export in the menu. Instead of Script, choose export to Application and check Run Only. This will give you an application you can put in the Dock.

If you want to use Shortcuts, you can use the Run Shell Script action in Shortcuts too.

Finally, if you want something that opens multiple firefoxes at once, chain multiple firefox invocations together on one line separated by an ampersand. There is an option you have to use (–new-instance I think?) to make Firefox actually start a complete new instance.

That’s funny because I grew up with math teachers constantly telling us that we shouldn’t trust them.

Normal calculators that don’t have arbitrary precision have all the same problems you get when you use floating point types in a programming language. E.g. 0.1+0.2==0.3 evaluates to false in many languages. Or how adding very small numbers to very large numbers might result in the larger number as is.

If you’ve only used CAS calculators or similar you might not have seen these too since those often do arbitrary precision arithmetics, but the vast majority of calculators is not like that. They might have more precision than a 32 bit float though.

I mean, most calculators are wrong quite often

What bothers me the most is the amount of tech debt it adds by using outdated approaches.

For example, recently I used AI to create some python scripts that use polars and altair to parse some data and draw charts. It kept insisting to bring in pandas so it could convert the polars dataframes to pandas dataframes just for passing them to altair. When I told if that altair can use polars dataframes directly, that helped, but two or three prompts later it would try to solve problems by adding the conversion again.

This makes sense too, because the training material, on average, is probably older than the change that enabled altair to use polars dataframes directly. And a lot of code out there just only uses pandas in the first place.

The result is that in all these cases, someone who doesn’t know this would probably be impressed that the scripts worked, and just not notice the extra tech debt from that unnecessary dependency on pandas.

It sounds like it’s not a big deal, but these things add up and eventually, our AI enhanced code bases will be full of additional dependencies, deprecated APIs, unnecessarily verbose or complicated code, etc.

I feel like this is one aspect that gets overlooked a bit when we talk about productivity gains. We don’t necessarily immediately realize how much of that extra LoC/time goes into outdated code and old fashioned verbosity. But it will eventually come back to bite us.

I have to do a bunch of relatively unsurmountable steps to do what should’ve taken half a minute. Like screenshot the profile and scrape the text with iOS Photos text recognition.

The iOS workaround isn’t quite as unsurmountable as you don’t have to go through the Photos app at all. You can enter text selection mode directly from the screenshot without even saving it or leaving the app you’re in. And since iOS will look up any word you can select in the system dictionary and also translate any text you can select, you can do these things right there too.

That said I did once make a shortcut that lets me triple tap the back of my phone to pop up a text version of everything on screen that the iOS OCR detects. Not sure what I did that for though, I don’t really use it.

Well it’s not improving my productivity, and it does mostly slow me down, but it’s kind of entertaining to watch sometimes. Just can’t waste time on trying to make it do anything complicated because that never goes well.

Tbh I’m mostly trying to use the AI tools my employer allows because it’s not actually necessary for me to believe that they’re helping. It’s good enough if the management thinks I’m more productive. They don’t understand what I’m doing anyway but if this gives them a warm fuzzy feeling because they think they’re getting more out of my salary, why not play along a little.