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

I was reading the recent post about strategy games, and I'm still astonished to see for how many hours (at least hundreds, often 1000+) people are playing these. I'm guessing that in these cases, all your gaming time is exclusively taken by that single game.

So, do you have (or did you have) games, or series, like that? Do you play solo or multi? What compels you to spend so much time on a single game? How do you feel about it?

What have you been doing lately for your own fitness? Try out any new programs or exercises? Have any questions for others about your training? Want to vent about poor behavior in the gym? Started a new diet or have a new recipe you want to share? Anything else health and wellness related?

The previous introductions thread was waaaaay back in June of 2023, figured it might be time for a new one, eh?

This is a place for new and existing users to post an introduction with a few fun facts about themselves. You will find the post box at the bottom the page. Maybe say "Hi!" to someone else you see while scrolling down?

If you like, you can also write something about yourself in your profile. See "Edit your user bio" on the settings page. Anyone who clicks on your username will see it in your profile. (It appears on the right side of the page.)

You can find out more about how to use Tildes in this topic: "New users: Ask your questions about Tildes here!.

**How long have you been on Tildes? How did you find out about us?**

**How did you choose your username?** 

**What are your interests?** 

**A/S/L (age/(gender|pronouns|identifier)/location)**

**What do you do? This could be in your spare time, for work, your passions.**

**Do you want other users to PM/DM you from this thread?**

**Give us a fun fact (or a link!)! If there is anything to know about tilderinos, it's that we value knowledge sharing!**

April 2025's Humble Choice is now available with the following eight Steam games.

Does anyone have experience with any of the games and, if so, would you recommend them? Is there anything in here that you're particularly excited to play?

This is a recurring post to discuss programming or other technical projects that we've been working on. Tell us about one of your recent projects, either at work or personal projects. What's interesting about it? Are you having trouble with anything?

Hello, as the title implies, I am looking for a temp controlled teapot.

I own an ember mug and have to say, it is one of my favorite purchases/splurges. For those that do not want to click on the link, this is a temperature controlled mug that holds a hot temp for liquids in a mug wirelessly. It does this with quite good precision IMO, have not whipped out a thermometer to check accuracy.

I have been looking for some time for a teapot that could do the same. The requirements I have are that no plastic or otherwise health adverse heat volatile materials come into contact with the heated water, and I would like it to be a teapot, because I like the ritual of pouring the tea out of the pot. I want to be able to steep and pour the tea from the same temp controlled vessel(I don't mind heating water and then pouring it into the temp controlled teapot), so I'm not looking for a temp controlled kettle, necessarily.

I think last time I looked I ended up on pages showing things like this set up, which I'm open to, but would like some guidance or reviews, if possible.

Thank you!

Bonus, what are your favorite mint teas or other teas that have a sensory experience outside of temp?

EDIT: On the same website I linked, I forgot to direct people here. Has anyone ever used a teapot warmer like the ones on that website?

Have you watched any movies recently you want to discuss? Any films 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.

I think about this from time to time. Good directors often switch gears. They abandon beloved themes, franchises, or entire genres. Sometimes they become producers for the series they initiated and the quality takes a dip. In any event, for whatever reason, talented movie directors sometimes decide to dedicate their careers to something we are not as fond of. Perhaps you read a book that would be perfect for them! This post is an opportunity to put them on the right track! (in our imaginations at least...)

My son loves reading time before bed, but he’s only 3.5 so the books have mostly been picture books until now. Lately though he’s been getting more into stories with plots and an extended narrative, but entirely in the form of movies. There aren’t a lot of kid’s books to go around with the sorts of dramatic stories he likes, they’re more like “caterpillar eats food” and “train engine climbs a hill with grit and determination” type stuff. And whenever I’ve tried to have him just lay down and listen to me read a story without any pictures to stare at he has absolutely no interest. He really likes having pretty visuals to look at.

I know when I was a small child these sorts of board/picture books weren’t really a thing in India. The pre-sleep ritual was usually “storytime” instead, where my parents would tell us stories. I’m a little bit concerned that my kid has been so accustomed to always having visual cues presented to him that it’s stunting his imagination a bit, like failing to exercise his capacity to visualize ideas and concepts for himself without being anchored by some artist’s depiction.

So I’m curious to hear from other parents or caregivers/educators (@kfwyre?). Did you find there was a natural transition point between going from picture books to telling/reading stories? Was there any sort of work you had to do to enable it? Are there “exercises” I can work on to help my son exercise his imagination? I have been working with him to have him tell me stories about his day, which he does pretty well. But his stories are always quite grounded and he’s usually telling me what he’s actually done and seen. When my nephews and nieces were his age they tended to spin out a lot of random stories that pretty obviously did not happen, and I assume this is because they had more experience being told stories themselves rather than just factual reporting about the happenings around them.