nerdponx

That's on food and consumable household stuff. I imagine some people do all of that shopping through Amazon. But on average?

It's almost as if this isn't about scraping and more about shutting down a "free article sharing" channel that gets abused all the time.

I should clarify that the "applications" I write are usually command line tools. I don't think I've ever written a full working GUI application, although now with AI I bet it would be fast and easy to bang something together.

Or when the gov du jour is for sale, they can do whatever they want because they and their CEO can afford just about any price.

It's saving face. It lets them bail out without actually badmouthing Flock or any related companies, which, yes, lets them do it again later.

If Guile had more of the "batteries" from the Gauche standard library it might be the perfect all-purpose Scheme. But for just writing a simple application quickly and easily it's been impossible to beat Gauche for me, it's on par with Python and Ruby in that regard IMO.

Interesting timing, the Park Tool Youtube presenter just retired. The guy with the big mustache.

Which is precisely why I said originally that data centers in space have never been a thing and will never be a thing. Because the whole premise is "it's cold in space so that's great for data centers", but that fundamental premise is fundamentally wrong and based in a misunderstanding of the physics involved. There is no other redeeming argument for it, therefore it's not going to happen. Anyone trying to sell you on data centers in space is grifting.

Data centers in space have never been a thing and never will be.

This is right-wing authoritarian virtue signaling IMO.

Sort of? You want something that's going to actually affect the corporations involved. It's not about showing effort, because the government doesn't care how much effort you put in. It's about showing power, making a statement that we "the people" have power and can use it if you don't do what we want. A long-term "nonessentials boycott" might be more impactful in that sense.

He absolutely would harm some people in the US to benefit other people in the US. The same is true for many many other businesspeople and politiciansl

Back when IBM Watson was a thing, the rumor I heard was that it was actually just a big team of data people and programmers who would bang out stuff in a hurry and then they would pretend like the AI came up with it.

Imagine that! It's almost like it's coordinated. Surely the US government would never do something like that on purpose.

I think if we're at the point where posting deliberate mistakes to poison training data is considered a crime, we would be far far far down the path of authoritarian corporate regulatory capture, much farther than we are now (fortunately).

Time to start including deliberate bugs. The correct version is in a private repository.

Audio is also great for busy people. Doing chores, driving, shopping, at the gym, even at work depending on your job. A lot of video content is mostly just audio anyway with either a person's face or filler images anyway. Audio and audio-heavy video is a way to get information or entertainment if you don't feel like you have the time to sit down and read.

Certain size/watt combos are still available for things like appliances and nightlights, but I think that includes 20W E26/A-something bulbs, and the bulbs for plug-in night lights. I can still find them on the Home Depot and some other places. No idea about quality but I still prefer how they look. There are so many other horrible energy efficiency problems with heating my home that the inefficiency of a few incandescents in key places doesn't bother me in comparison to the enjoyment I get from the nice light.

I have a theory that they're bad for humans too. I think the same is true for computer screens too. Something about the flickering and the "unnatural" color spectrum messes with people's heads (anecdotal/subjective). Maybe our brains do extra processing work that detracts from other systems.

Cost? Apple stuff is expensive and unaffordable or inaccessible to a lot of the world. Google'd Android is the only option if you can't shell out for an iPhone (assuming you don't want to buy an unsupported 5+ year old device second/third-hand).

Does Fastmail have any clout in Europe? I've been a customer for the better part of a decade (with my own domain name) and I've never had a mail delivery issue.

This is speculation tinged with economics dogma.

And it's easy to miss them as several have been covered over or filled in, depending on where you are and how big it was.

Other types of ships also had castles, such as the carrack and galleon. They are super tall and ungainly looking compared to modern ships, even those from the 19th and 18th centuries.

I came across this medievalists site the other day in a search and quickly realized it's SEO slop. Unsurprising that they are branching out into niche topics now that more typical areas (food, home improvement, software, etc) are becoming saturated.

Prediction: In 2026 the Trump administration will attempt to ban all other forms of voting and will claim that it is in the interests of election security, because the Democrats can't be trusted to count votes (remember the 2020 election was "stolen"?), so we need to mandate all votes be counted electronically using some sketchy electronic voting system, which a company that is very politically friendly to Trump just so happens to be ready to provide. It will get immediately shot down in several courts but it will take months to resolve all the lawsuits, and SCOTUS won't hear the case. This will cause the election to be held in some places but not others, and overall delay final vote tally by several months. Some kind of data breach will occur but details will not be reported. Neither party will trust the election results but won't go so far as to call fraud lest public trust in the system completely unravel.

Efficiency for the voter and efficiency for the vote counting process are totally different things.

One thing that often gets forgotten in the discussions about whether to soft delete and how to do it is: what about analysis of your data? Even if you don't have a data science team, or even a dedicated business analyst, there's a good chance that somebody at some point will want to analyze something in the data. And there's a good chance that the analysis will either be explicitly "intertemporal" in that it looks at and compares data from various points in time, or implicitly in that the data spans a long time range and you need to know the states of various entities "as of" a particular time in history. If you didn't keep snapshots and you don't have soft edits/deletes you're kinda SoL. Don't forget the data people down the line... which might include you, trying to make a product decision or diagnose a slippery production bug.

I can't edit my own post but there are two other big differences between the Prolog example and the Word2Vec example.

1. The W2V example is approximate. Not "fuzzy" in the sense of fuzzy logic. I mean that Man Woman Queen King are all essentially just arrows pointing in different directions (in a high dimensional space). Summing vectors is like averaging their angles. So subtracting "King - Man" is a kind of anti-average, and "King - Man + Woman" then averages that intermediate thing with "Woman", which just so happens to yield a direction very close to that of "Queen". This is, again, entirely emergent from the algorithm and the training data. It's also probably a non-representative cherry picked example, but other commenters have gone into detail about that and it's not the point I'm trying to make.

2. In addition to requiring hand-crafted rules, any old school logic programming system has to go through some kind of a unification or backtracking algorithm to obtain a solution. Meanwhile here we have vector arithmetic, which is probably one of the fastest things you can do on modern computing hardware, not to mention being linear in time and space. Not a big deal in this example, could be quite a big deal in bigger applications.

And yes you could have some kind of ML/AI thing emit a Prolog program or equivalent but again that's a totally different topic.

The difference is that Word2Vec "learned" these relationships auto-magically from the patterns in the surrounding words in the context in which they appear in written text. Don't forget that this was a revolutionary result at the time, and the actual techniques involved were novel. Word2Vec is the foundation of modern LLMs in many ways.