Readit NewsDumb 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!
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'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.
Most recently I bought a couple of Belkin AX3200 routers because they support WiFi6 and are only about $50 USD. The annoying part is that they're a Walmart exclusive, but they have worked flawlessly so far. Still, I'd rather have the new, officially-endorsed one.
References: 1: https://openwrt.org/toh/start
Responding to change over following a plan
The whole point was to be agile enough to work in a manner that's most effective your team and organization - and even that may change on a project-by-project bases if different stakeholders are involved.
As a litmus test, I decided to check for the word "delve" to see whether it appeared in the text. According to an article I read in The Guardian[1], this word is more likely to appear in AI-generated responses to prompts. Sure enough, "delve" was right there in the second paragraph.
Of course, these two things combined aren't exactly a "smoking gun" proving that the whole thing is AI blog-spam, but I would bet it is (as first mentioned in another comment here). It's pretty wild to be living in a time where we have to be so wary of an entire article being prompt-engineered into existence by a lazy "author" eager for clicks.
References: 1: https://www.theguardian.com/technology/2024/apr/16/techscape...
Totally agree. One example of "python-brain" that I see a lot at my employer is using pandas dataframes as the only data structure, beyond _maybe_ the occasional list or dict. Any entity with multiple attributes is represented as more columns in a dataframe, rather than via objects.
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.
Non-photo-realistic (NPR) 3D art goes back a surprisingly long way in animations. I rewatched the 1988 Disney cartoon "Oliver and Company" recently, and I was surprised to see that the cars and buildings were "cel-shaded" 3D models. I assumed that the movie had been remastered, but when I looked it up, I found out that it was the first Disney movie ever to make heavy use of CGI[0] and that what I was seeing was in the original. The page I found says:
"This was the first Disney movie to make heavy use of computer animation. CGI effects were used for making the skyscrapers, the cars, trains, Fagin's scooter-cart and the climactic Subway chase. It was also the first Disney film to have a department created specifically for computer animation."
References ----------
References:
0: https://hg-edge.mozilla.org/
1: https://groups.google.com/a/mozilla.org/g/firefox-dev/c/Qnfy...