smohare

The first time I used Calibre it was such a bad experience I thought it was a joke software. Can’t say I’ve consciously used or wanted to use a single kitty feature, either.

The bar is pretty low for some basic UX, and these two projects consistently fall under. But to each their own.

I think you need to add another adjective in there to describe this group that feels like their rights are taken away by Apple.

I used Linux as my daily driver for many years. I enjoy deeply tweaking my system. But I switched to macs when life got busier because I didn’t feel particularly keen being forced to tweak my system constantly. I’ve personally not felt constrained by macOS, so maybe I’m not as erudite of a config wizard as I thought or because I let things like nix-darwin and home-manager do the heavy lifting. But that’s more an aesthetic choice than one made to achieve specific functionality. Maybe I do have more patience for configuring at the whims of others, as my nix setup breaks every major release whereas my previous personal dot files manager written in posix shell does not.

Most the people I know that espouse things similar to the parent use Linux not because they were constrained by another OS, but because it appeals to their ideology. They’d rather be on OpenBSD if they could stomach it. That’s fine and good, but should be transparent.

To others out there wondering, I offer the counter-perspective that this “twist” is not nearly as profound or even unexpected as folk are making it seem.

I have both of these keyboards (as well as the Moonlander, Voyager and Go60).

The thumb cluster on the Glove is significantly more comfortable for me than the Ergodox / Moonlander. I never found either of the latter boards particularly comfortable. That said, I only really use the three innermost thumbs on the Glove.

The Go for me has a reasonable thumb cluster but the middle “resting” key is slightly further than what I was used to. It took a few days to adjust.

If you want something really comfortable try a Svalboard, but it requires more training.

I doubt this entirely. It might be quite difficult for said human to discern whether a simple passage were generated sans such accumulated experience in reading AI text, true. But LLMs do not converse like humans in ways that have always been essentially immediately obvious.

The linked article has a fairly light gray background with white text. I can read it, but the low contrast is just tiresome.

I have a number of 3d printed peripherals, including two Ploopy devices. Nothing seems out of the ordinary to me quality wise.

Right, because x + " " + y is more clear than of simply f"{x} {y}".

Been using python for longer than 10 years and immediately started using f-strings when I could. It takes almost no time to understand the basics.

I’ve used it daily almost since it was released without any real issues. But I generally do not run too many extensions or probably push the limits of my browsers.

For me, Orion’s vertical tabs are the best out of the box of all the browsers I’ve tried since I prefer their arbitrary nesting.

There are fundamental realities associated to being a public figure or representative. When you are even privately held sentiments or actions reflect upon the larger organization. This reflection isn’t a purely social construct, but itself an acknowledgement of human cognitive flaws and biases that inevitably leak through to decision making.

For example, you don’t want the director of a science outreach organization to privately uptake all manner of pseudoscience, because they cannot be trusted to carry out the organization’s ostensible mission. When these sentiments come to light, said directory is morally obliged to step down.

A personal blog is definitionally public, ergo by extension reflects upon whatever organizations that person is a member of.

I say all this as someone that does not even feel the posted article is particularly incendiary.

Huh, I’ve never once had a problem with multiple monitors and macs over the last 15 years. But at most I’m running two monitors.

It’s a pretty literal description of what he did. If techbro bosses don’t want to get butthurt over being called out for douchey behaviour, maybe they shouldn’t engage in douchey behaviour?

Almost none of these tech leaders deserve their station except by virtue of luck or often borderline sociopathic tendencies. To flaunt it so egregiously is a bit over the top.

There is a tendency for people to treat LLMs as oracles rather than token predictors. My guess is because they can answer in seeming technical fashion about a wider range of topics than your typical human. You can take these same people, who say have zero understanding of geopolitics, and they’ll apply a layer of (often misused) skepticism when confronted with information that doesn’t conform to existing beliefs.

That’s just what I’ve seen at a personal level though.

Or maybe there’s just not that many good studies, period?

A lot of them barely rise above the level of collected anecdote, nor explore long term or more elusive factors (such as cross-system entropy). They’re also targeting an area that is fairly difficult to measure and control for.

Having inherited some large python code bases before type annotations were common made me never want to personally read through highly-typed inferenced code again.

It reminded me of a mathematician in my field who had rather brilliant ideas, but whose papers were largely unreadable due to idiosyncratic symbology and style. Fortunately in that case one can still leverage an information dense symbology that points to a well-specified formalism.

Fair enough. But is there a need to propagate this abuse of the term?

Might as well call advertising “fun programming breaks” while we are at it.

Anecdote, but I live next to an elementary school and also on a route frequented by Waymos. Human drivers routinely cruise down the 25mph roads at 40+ and blow stop signs, even during school intake and release. Waymo vehicles always seem a lot more cautious.

When thinking about these things you have to factor in the prior probability that a driver is fully attentive, not just assume they are.

If you’ve ever been in a Waymo you quickly realize their field of view is pretty good. You often see the vehicle sensing small pets and children that are occluded to a passenger or driver. For this reason and my experience with humans near aforementioned school, I doubt a human would out perform the Waymo in this particular incident and it’s debatable they even have more context to inform their decisions.

All that said, despite having many hours in a Waymo, it’s not at all clear to me how they factor in sidewalk context. You get the sense that pedestrians movement vectors are accounted for near intersections, but I can’t say I’ve experienced something like a slow down when throngs of people are about.

A substance can have pharmacological effects and still not be recommended for therapeutic use. As a hyperbolic example, suppose a substance relieved all pain for 1% of the population but caused death in everyone else. Even with a highly precise screening process this substance likely would not be administered in medicinal contexts.

Who is thankful for sleep? It’s a biological necessity that robs us of a significant portion of our lives. I’d much rather be able to meditate for half an hour and reap the mental reset.

2016 already puts one far into the AI explosion. The current hype cycle, with LLMs as a service at the forefront, arguably makes python less relevant than in it was in the mid 2010’s. The current crop of “AI Engineers” can use whatever languages they want for the most part. In 2016 most practitioners were leveraging a lot more of the standard scientific computing frameworks afforded by python.

I’ve never been able to switch since the feature set, whenever I’ve looked over the years, doesn’t seem geared toward serious mathematical exposition. I think I want to carry over habits from papers to blog pages though, which perhaps is misguided.

You’ll notice that most people arguing against DEI rarely perform meaningful analytics. Because when you do look at the data it tells the tale that the same centuries old systemic biases are still in play.

This is obvious to any adult in the room. But the benefactors of said biases do not want to acknowledge it since it lays bare their utter mediocrity.

If you’re hauling two kids in San Francisco you really come to appreciate how weak 750W actually is.

While the scornful analogy there is dubious at best, I’d certainly reserve far more skepticism for the groups claiming AGI is within reach via the current crop of mathematically simplistic models

To me a mathematics paper is more natural than the quoted text, if you afford treating symbols as their language equivalent.

A string of not necessarily related words with nonsensical grammar is about as far from natural as you can get.

Stopped being a concern primarily due to heavy vaccination campaigns though. It is still raging, just not nearly as many people are dying. The immunity from infection these days is pretty paltry.

I worked with MongoDB a decade ago and also now.

One of the worst systems I’ve ever had to deal with. Not necessarily because of the db itself, but because of the implications of its use. It serves an incredibly narrow purpose. Everywhere I’ve worked at has had a team practically dedicated to moving data from a document store to a relational db so it could be actually usefully used for analytics and across disparate systems.

You think you are “nailing it” but also lack the background to even determine whether that is the case. I can assure you, there’s likely some fundamental flaws in what you’re vibing.

Just think about the type of code these things are trained on and the fact you’re clearly some random non-specialist.

You’re making the classic mistake in conflating computing how pathways to conditions can rise from computing conditionals given the current state. There’s absolutely no information theoretical difference between you saying “A girl opened the door” and “I was told the family has a girl.”

Look at the more technical descriptions using conditional probabilities of the Monty Hall problem as it is essentially equivalent. You’re trying to factor in the probability of whether Monty knows if a goat is behind a door when the observable information is that there is an open door with a goat. One you make that observation many things collapse.

Have you ever made your own burgers?

Lettuce is one of the least appealing things I can imagine adding to a half decent burger. I’ve also never once cooked a burger I’d describe as “slimy”.

Obviously it’s all subjective at the end of the day.