I've been a fan of the farming/life sim/role playing/cozy games or however you want to label these games since I was a kid and my older brother brought home a new game for the Nintendo 64: Harvest Moon 64. Over the years, I played several titles in the series through the Wii/NDS era, before my tastes changed, and I found myself playing more online games with my friends and just less gaming overall.

Stardew Valley releasing was a huge event for the genre and I do greatly enjoy the game (even though I've yet to finish a play through as I keep restarting after taking a break from playing) as it captured the feeling of the early Harvest Moon games really well. It also got me to start the habit of having an N64 emulator and a copy of Harvest Moon 64 on practically every device I own.

There have been some recent remakes of older games, specifically Friends of Mineral Town and A Wonderful life, but I didn't enjoy the art style and some of the changes made to the games, which ended up with me not picking them up.

I was curious if anyone else was a fan of the series (or one particular game in the series), or if there are any recent games that you felt are great in this genre.

As the years go by, I’ve become increasingly annoyed (I choose that word intentionally) at the thought that there’s some “record” of my activity on the Internet somewhere, which was probably put together by my ISP. I “don’t have anything to hide” (other than perhaps the one or other ROM or movie that I download), but I also don’t want to randomly get fined or put in prison if, in a few years, our governments decide to retroactively criminalize certain activities (I’m thinking mostly about piracy).

I’m not tech savvy though. That’s not because I haven’t tried. I have. I spent countless hours reading about how one can keep one’s activity on the Internet “private”. To my knowledge, it isn’t actually possible. I mean, even if I didn’t use my real name anywhere, or didn’t have any social media accounts (thankfully, I don’t), just the fact that I have to use an ISP to surf the web means that at least they are “spying” on me.

So, I’m approaching all of you wonderful, tech savvy people (rather than ChatGPT or a search engine) to ask you if there’s something that I’m missing, and if there is a way (preferably a fool-proof one) to stop my ISP (or “anyone” for that matter) from collecting data on my activity on the Internet (particularly when I download ROMs or movies, which is the only “illegal” thing that I ever do).

Have you watched any TV shows recently you want to discuss? Any shows you want to recommend or are hyped about? Feel free to discuss anything here.

Please just try to provide fair warning of spoilers if you can.

Hello, not sure if this belongs in books? Because I am looking for all forms of story telling (with an emphasis on folk tale, however).

Are there any other stories out there similar to: Sisyphus, "There Was an Old Lady Who Swallowed a Fly", and the Herculean task of slaying the hyrda?

For me the theme is, if you don't deal with the root problem, you're screwed/can't win.

Doesn't have to be English based, but I'll need a translation if it's not.

Thank you in advance!

I have been listening to the PreHistory Podcast, written and produced by an actual academic archaeologist. I enjoy the rigor and specificity but i’m having trouble finding similar content I like, especially without the promotions and ads and fan service. I know that in the age of social media personalities such dry content is hard to come by.

I particularly enjoy ancient history, but feel free to offer other podcasts that feature people who have mastered their discipline and have found clear, effective, and even entertaining ways of sharing it. Thanks!

I understand that Tildes implements rate limiting for replies to comments in order to discourage excessive back-and-forth debates or arguments. My current rate limit is one reply every 2 hours. So, if I reply to a comment on one post and then try to reply to a comment on another post, it tells me I have to wait 120 minutes (minus however many minutes since my last comment) until I can comment again.

Is this the normal rate limit? If so, don't people find this... limiting?

Update (2025-04-09 at 08:22 UTC): I was just able to comment twice within ten minutes, so it seems the rate limit has disappeared as mysteriously as it appeared.

Tildes is a very serious site, where we discuss very serious matters like advetising.digital, cory booker and april fools day. Tags culled from the highest voted topics from the last seven days, if anyone was miffed.

But one of my favourite tags happens to be offbeat! Taking its original inspiration from Sir Nils Olav III, this thread is looking for any far-fetched offbeat stories lurking in the newspapers. It may not deserve its own post, but it deserves a wider audience!

This topic is part of a series. It is meant to be a place for users to discuss creative projects they have been working on.

Projects can be personal, professional, physical, digital, or even just ideas.

If you have any creative projects that you have been working on or want to eventually work on, this is a place for discussing those.

As per title this is inspired by my recent problems with a Latitude 7320 notebook.

I can't use my desktop right now and so wanted some cheaper nb for normal usage and eventually settled on this model due to being able to get it at an acceptable ratio of price to age and seeing it as compatible on Ubuntu, not noticing the disclaimer until later.

The problems started right after installing Fedora KDE - the nb was running at absolutely abysmal performance and this problem affects several models.

Running passmark I've got above 2000 on cpu, on Windows I had 11000. The cpu was throttling to 1500Mhz and lower for no reason. Switching a BIOS setting of power management to "ultra performance" got me to twice the score.

Eventually using throttled from github for various Lenovo and Dell models and thermald I was able to get to twice that again, still a fifth less than on Windows. Also the repo has potential of security concerns due to how it works, also potential to just stop working due to them later.

Mainly I'm posting this to just say that there is zero legitimate technical reason why this should happen, it works on Windows and on Dell tampered Ubuntu images. The hw is fine but for some reason someone somewhere decided to artificially limit the hw for whatever reason.

Right now I am still indecided if I should write off the several hours I've spent on this and return the machine to play the dice with some other model.

Edit 5.4.: it turns out I was not using the throttled package correctly and now have roughly equivalent performace in Linux as in Windows up from the 4/5 or so after all the other workarounds. All of the points still apply though. I also heartily recommend s-tui as a nice utility for cpu monitoring and stress test.

You do it, and it's against the grain -- outside the norm.

But you like it, or think it's worthwhile.

In fact, you'd recommend that more people do it, so that it can shift the grain or become the norm.

What is it, and why do you recommend it?

The popular online discourse on Large Language Models’ (LLMs’) capabilities is often polarized in a way I find annoying and tiresome.

On one end of the spectrum, there is nearly complete dismissal of LLMs: an LLM is just a slightly fancier version of the autocomplete on your phone’s keyboard, there’s nothing to see here, move on (dot org).

This dismissive perspective overlooks some genuinely interesting novel capabilities of LLMs. For example, I can come up with a new joke and ask ChatGPT to explain why it’s funny or come up with a new reasoning problem and ask ChatGPT to solve it. My phone’s keyboard can’t do that.

On the other end of the spectrum, there are eschatological predictions: human-level or superhuman artificial general intelligence (AGI) will likely be developed within 10 years or even within 5 years, and skepticism toward such predictions is “AI denialism”, analogous to climate change denial. Just listen to the experts!

There are inconvenient facts for this narrative, such as that the majority of AI experts give much more conservative timelines for AGI when asked in surveys and disagree with the idea that scaling up LLMs could lead to AGI.

The ARC Prize is an attempt by prominent AI researcher François Chollet (with help from Mike Knoop, who apparently does AI stuff at Zapier) to introduce some scientific rigour into the conversation. There is a monetary prize for open source AI systems that can perform well on a benchmark called ARC-AGI-2, which recently superseded the ARC-AGI benchmark. (“ARC” stands for “Abstract and Reasoning Corpus”.)

ARC-AGI-2 is not a test of whether an AI is an AGI or not. It’s intended to test whether AI systems are making incremental progress toward AGI. The tasks the AI is asked to complete are colour-coded visual puzzles like you might find in a tricky puzzle game. (Example.) The intention is to design tasks that are easy for humans to solve and hard for AI to solve.

The current frontier AI models score less than 5% on ARC-AGI-2. Humans score 60% on average and 100% of tasks have been solved by at least two humans in two attempts or less.

For me, this helps the conversation about AI capabilities because it gives a rigorous test and quantitative measure to my casual, subjective observations that LLMs routinely fail at tasks that are easy for humans.

François Chollet was impressed when OpenAI’s o3 model scored 75.7% on ARC-AGI (the older version of the benchmark). He emphasizes the concept of “fluid intelligence”, which he seems to define as the ability to adapt to new situations and solve novel problems. Chollet thinks that o3 is the first AI system to demonstrate fluid intelligence, although it’s still a low level of fluid intelligence. (o3 also required thousands of dollars’ worth of computation to achieve this result.)

This is the sort of distinction that can’t be teased out by the polarized popular discourse. It’s the sort of nuanced analysis I’ve been seeking out, but which has been drowned out by extreme positions on LLMs that ignore inconvenient facts.

I would like to see more benchmarks that try to do what AGI-AGI-2 does: find problems that humans can easily solve and frontier AI models can’t solve. These sort of benchmarks can help us measure AGI progress much more usefully than the typical benchmarks, which play to LLMs’ strengths (e.g. massive-scale memorization) and don’t challenge them on their weaknesses (e.g. reasoning).

I long to see AGI within my lifetime. But the super short timeframes given by some people in the AI industry feel to me like they border on mania or psychosis. The discussion is unrigorous, with people pulling numbers out of thin air based on gut feeling.

It’s clear that there are many things humans are good at doing that AI can’t do at all (where the humans vs. AI success rate is ~100% vs. ~0%). It serves no constructive purpose to ignore this truth and it may serve AI research to develop rigorous benchmarks around it.

Such benchmarks will at least improve the quality of discussion around AI capabilities, insofar as people pay attention to them.

Update (2024-04-11 at 19:16 UTC): François Chollet has a new 20-minute talk on YouTube that I recommend. I've watched a few videos of Chollet talking about ARC-AGI or ARC-AGI-2, and this one is beautifully succinct: https://www.youtube.com/watch?v=TWHezX43I-4