ignirtoq

At least it was better than Indiana Jones and the Kingdom of the Crystal Skull.

The thing is it’s been like that forever. Good products made by small- to medium-sized businesses have always attracted buyouts where the new owner basically converts the good reputation of the original into money through cutting corners, laying off critical workers, and other strategies that slowly (or quickly) make the product worse. Eventually the formerly good product gets bad enough there’s space in the market for an entrepreneur to introduce a new good product, and the cycle repeats.

I think what’s different now is, since this has gone on unabated for 70+ years, economic inequality means the people with good ideas for products can’t afford to become entrepreneurs anymore. The market openings are there, but the people that made everything so bad now have all the money. So the cycle is broken not by good products staying good, but by bad products having no replacements.

It’s mixed with other artificial sweeteners (I know of at least the monk fruit in my pantry) to get better weight to sweetness ratios. Most of the most popular artificial sweeteners are far stronger, sometimes hundreds of times stronger, than sugar. So they mix them with erythritol, which is less sweet than sugar, so you can replace 5g of sugar with 5g of the artificial sweetener in recipes and get the right sweetness.

The human brain is not an ordered, carefully engineered thinking machine; it’s a massive hodge-podge of heuristic systems to solve a lot of different classes of problems, which makes sense when you remember it evolved over millions of years as our very distant ancestors were exposed to radically different environments and challenges.

Likewise, however AGI is built, in order to communicate with humans and solve most of the same problems, it’s probably going to take an amalgamation of different algorithms, just like brains.

All of this to say, I agree memorization will probably be an integral part of that system, but it’s also going to be a small part of the final system. So I also agree with the article that we’re way off from AGI.

“Almost half a dozen times” seems like a weird way to say 5.

The author hits on exactly what’s happening with the comparison to carcinisation: crustacean evolution converges to a crab like form because that’s the optimization for the environmental stresses.

As tiramichu said in their comment, digital platforms are converging to the same form because they’re optimizing for the same metric. But the reason they’re all optimizing that metric is because their monetization is advertising.

In the golden days of digital platforms, i.e. the 2010s, everything was venture capital funded. A quality product was the first goal, and monetization would come “eventually.” All of the platforms operated this way. Advertising was discussed as one potential monetization, but others were on the table, too, like the “freemium” model that seemed to work well for Google: provide a basic tier for free that was great in its own right, and then have premium features that power users had to pay for. No one had detailed data for what worked and what didn’t, and how well each model works for a given market, because everything was so new. There were a few one-off success stories, many wild failures from the dotcom crash, but no clear paths to reliable, successful revenue streams.

Lots of products now do operate with the freemium model, but more and more platforms had moved and are still moving to advertising ultimately because of the venture capital firms that initially funded them have strong control over them and have more long term interest in money than a good product. The data is now out there that the advertising model makes so, so much more money than a freemium model ever could in basically any market. So VCs want advertising, so everything is TikTok.

The open availability of cutting-edge models creates a multiplier effect, enabling startups, researchers, and developers to build upon sophisticated AI technology without massive capital expenditure. This has accelerated China’s AI capabilities at a pace that has shocked Western observers.

Didn’t a Google engineer put out a white paper about this around the time Facebook’s original LLM weights leaked? They compared the rate of development of corporate AI groups to the open source community and found there was no possible way the corporate model could keep up if there were even a small investment in the open development model. The open source community was solving in weeks open problems the big companies couldn’t solve in years. I guess China was paying attention.

Why would I pronounce something with rules of English that’s not an English word? When I say the word jalapeno, I pronounce the tilde on the n even though in English it’s neither written with the tilde nor written with a letter combination that would produce that sound through standard English spelling.

In relation to English, it’s the “ng” sound in the common “-ing” ending or suffix.

Wikipedia has an entire article on it (of course): https://en.wikipedia.org/wiki/Voiced_velar_nasal

It’s not disingenuous. There’s multiple definitions of “offline” being used here, and just because some people aren’t using yours doesn’t mean they’re ignorant or arguing in bad faith.

Your definition of “offline” is encompassing just the executable code. So under that definition, sure, it’s offline. But I wouldn’t call an application “offline” if it requires an internet connection for any core feature of the application. And I call saving my document a core feature of a word processor. Since I wouldn’t call it “offline” I’m not sure what I would call it, but something closer to “local” or “native” to distinguish it from a cloud based application with a browser or other frontend.

Not autistic but my partner is. One of her hacks is having me put alarms on my phone so I can gently remind her of things. The alarms are too jarring for her to have them on her own phone.

I’m not the person you’re replying to, but I think their point is that the bars don’t scale linearly. The red bar (2014 price) for the McChicken is supposed to represent $1 and the yellow bar (2024 price) ~$3, but the yellow bar is not 3 times the length of the red bar. This means the relative differences between the bar lengths doesn’t match the percent increase number printed above then. This is most egregious comparing relative differences between the McChicken and the Quarter Pounder with Cheese meal: why does a 122% increase look so much worse than the 199% increase?

I suspect the cause of problem is that the small bars were stretched a bit to fit printing the dollar value within then, but if it throws off the visual accuracy of the bars, what’s the point of using bars at all?

It’s a mathematical property of regions of a 2D space that 3 will naturally meet at a point, but 4 or higher have to be contrived to meet at a point. In the US we do have the 4 corners, which is where Arizona, New Mexico, Colorado, and Utah, so there is precedent.

It’s an education system and culture problem. You can’t force a 40-year-old woman to be curious and critical, but you can plant the seed and encourage the growth of those skills and behaviors in children. That confusion at hearing something different followed by the attitude of putting it in a box and dismissing it (“I don’t know what that is, but we have regular hot tea”) comes from a lifetime of being told to accept whatever over simplified answer they are told and be quiet whenever they ask questions.

No chance it will even come to the floor for a vote.

Been the only one in my family for years using Linux, but over the last few months struggles with Windows have basically resulted in all but one computer in the house being migrated to Linux.

Put it on my 10-year-old son’s desktop because Windows parental controls have been made overly complicated and require Internet connectivity and multiple Microsoft accounts to manage. Switched to Linux Mint, installed the apt sources for the parental control programs, made myself an account with permissions and one for him without permissions to change the parental controls, and done. With Steam he can play all of the games in his library.

Only my wife is still using Windows, but with ads embedded in the OS ramping up, and features she liked getting replaced with worse ones, she’s getting increasingly frustrated with Microsoft.

How would you scientifically measure a difference between those two definitions?

plus why the right keeps mispronouncing her name

I mean, it’s just racism, right?

It serves as a racist dog whistle and a cowardly way to slight the vice president without resorting to overt name-calling.

Yeah, same as always. Important to keep pointing it out, but not exactly an earth-shattering revelation.

He and his allies have made the chaotic withdrawal from Afghanistan a central focus of their criticisms of the Biden administration’s handling of national security and foreign policy.

What I consistently don’t see brought up is the fact that the “chaotic withdrawal” was directly set up by Trump. He signed the agreement with Afghanistan that put a fixed date on the withdrawal squarely in the next President’s term. This gave enemies a clear timetable of US actions beforehand, which gave them a significant advantage. So Biden was left with the choice of either fulfilling the US promise, despite it being in every way a bad construct, and executing an extremely difficult withdrawal, or harming the US image on the global stage by reneging on an already agreed upon deal.

I would go so far as to say this, like the expiration of the middle class portion of the Trump tax cuts, was specifically designed to make the next administration, which was always very likely to be Democrat, look bad regardless of the cost or collateral damage.

The judge also noted that the cited study itself mentions that GitHub Copilot “rarely emits memorised code in benign situations.”

“Rarely” is not zero. This looks like it’s opening a loophole to copying open source code with strong copyleft licenses like the GPL:

1. Find OSS code you want to copy
2. Set up conditions for Copilot to reproduce code
3. Copy code into your commercial product
4. When sued, just claim Copilot generated the code

Depending on how good your lawyers are, 2 is optional. And bingo! All the OSS code you want without those pesky restrictive licenses.

In fact, I wonder if there’s a way to automate step 2. Some way to analyze an OSS GitHub repo to generate inputs for Copilot that will then regurgitate that same repo.