manifoldgeo

Yeah, they should have posted it to LoreHub! I just checked for the availability of lorehub.com, and you can buy it for only ~$13,000 and start a competing business to GitHub.

If it were Data instead of Lore, it would reject any commit messages that used contractions such as "I'm" and "can't" ;-)

Ive been taking courses on CLO 3D for digital fashion design, and this article was a nice crash-course on the available technologies for 3D body scanning.

Recently, I wanted to turn my hand-drawn jeans pattern into a 3D one to troubleshoot fit, and I found the CLO avatar editor surprisingly capable of generating a body type like my own with just a few measurements. It extrapolated a lot from a little, and I'd been wondering how. Good stuff!

Another comment accuses the original post of being AI slop, and I can't prove or disprove that. But, the author (whether human or LLM) did at least cite sources, open-source their tool, and teach me a few things either way.

I'd be curious to see how ATProto stacks up against ActivityPub in the long run. I was very excited by the prospects of Mastodon, PeerTube, and a few other Fediverse apps. I even started implementing my own ActivityPub library based on their RFC before I fizzled out.

But, the Fediverse never really seemed to take off in the mainstream. Mozilla launched their own mastodon instance around 2023 and then closed it in 2024. I've never heard anything about PeerTube in casual conversation, and Mastodon is not common to hear about either.

As someone with a tech degree and a liberal arts degree, I think protocols like this are excellent examples of trying to solve social issues with technology instead of policy or other approaches. I can't tell you what those other approaches would be, but I haven't seen a lot of efficacy from the purely technological ones. Eventually, the pressure of turning a profit always seems to take over, pushing the moral mission aside. Still. I'm rooting for ATProto to speak truth to power and uproot apps like X and Instagram.

There's a recent book called "Plunder: Private Equity's Plan to Pillage America", and seeing this news makes me want to revisit it. The author outlines the usual tactics used by private equity firms to turn a functioning business into their own short-term profit factory, often driving the business into bankruptcy in the process. EA already has a reputation as a semi-broken company, but things can probably get a lot worse.

One method they use is the consolidation of a bunch of small, related businesses. For example, PE firms buy out all of the local veterinary offices in a tri-city area, cut costs, lay off the most qualified vets and replace with less-qualified ones, increase prices for services, and operate a local monopoly.

Clearly, that particular tactic is much harder to pull on the massive oligopoly that is the gaming industry, but it was the one that stuck with me from the book. There are more baffling ones like selling off all the company's real estate, making them rent it back at a much higher rate than their current mortgages (which may already have been paid off), and then filter revenues out of the company via "consulting fees" paid to themselves and their friends for this bad advice.

The book is a little bit repetitive, and some of the tactics are beyond my grasp, but I'm excited to make a personal bingo card of them and see which ones get used on EA as they drive it into the ground.

Will there be a follow-up toolkit for Artificial General Intelligence called Agitator?

Dumb jokes aside, I took a look at your GitHub page, and this is exactly what I've been looking for when I do local LLM work. Cogitator seems like a nice, pythonic approach vs. using the raw `ollama run` command, esp. given the focus on chain of thought. I think I'll start using this tool. Nice work!

Yes, this is correct. Google pays Mozilla hundreds of millions of dollars annually to be the default search engine. This makes up the vast majority of Mozilla Corporation's revenue. It's somewhere in the ballpark of 85% of all their annual revenue last I heard.

They've tried hard in recent years to get out from under Google by diversifying into other areas. For example, they have a VPN service that is a wrapper around Mullvad, and they've made some privacy tools that you can pay to use, also largely wrappers around other companies' tools.

I was an employee of Mozilla Corporation and saw first-hand the effort they were making. In my opinion, it's been a pretty abysmal failure so far. Pulling Google funding would effectively hamstring Mozilla Corp.

I upvoted this post and would not have commented if not for yours, so maybe my reason for (almost) abstaining is similar as other people who upvoted. What follows might be a ramble and is just my anecdotal experience on HN:

I've been an HN user for years, and I've found it somewhat hard to comment on anything related to economics or non-technical / pop-cultural topics. Many HN users are experts in their technical fields, and they seem to think this automatically translates to expertise in political science, sociology, psychology, and all the other fields of endeavor where we can't just point to source code to justify our positions. I mostly find that HN commenters are a thoughtful bunch. But, there's a small, noisy group of armchair experts waiting to swoop in and correct your grammar or disagree on some technicality over social issues like this.

Since HN is tech-focused, even posting something not directly related to technology can get your post flagged and taken down as irrelevant. So in a way, discussing these things is disincentivized by the site's purpose. I get that WaPo is an online platform and therefore in-scope, but it's "scarier" to comment on because it's more social than technical.

In part, the act of being a thoughtful commenter also means steering well clear of any flame wars (that aren't related to NixOS, Rust, or LLMs). I.e., it's like jazz in that it's about the notes you don't play— it's the comments you don't make that foster a good online experience.

This is also a US-specific article, and lots of American people are overwhelmed by the onslaught of post-election political news; so, this might be a cultural thing in that people are not commening as much because they're dealing with a big inbox of emotions to sort through.

I still take active interest in political posts like this and personally think Bezos is a modern-day robber baron in the new Gilded Age. But, I'll seldom say so, opting instead to upvote so others can see the post and then move on silently.

I don't mean this in a snarky way, more just to inform: proscribed actually means forbidden unlike the word prescribed, which means recommended.

I think this may have less to do with "python-brain" and more with "data-science brain". If a person is well-versed in data science concepts and has been trained to use Pandas DataFrames and Series for everything, that's what they'll lean on. After all, it's some kind of in-memory object that can hold many values and has a way to label them with column labels and indices.

Chances are somewhat good that these people weren't computer science majors to begin with. For example, math or biology majors who have moved away from R to Python might know a great deal about data but not much about compsci.

For people who use Python in a DevOps context, they'll likely be exposed to more OOP concepts and lean more heavily on classes.