Regarding your worry about looking silly, I get you. I like to think the gym is one of the less judgemental places (and in my experience, it is), but you find assholes everywhere in life, so it would be a lie to say you'll never encounter them. What helps for me, and maybe it'll help you too, is confidence in knowing you're doing the right thing. What is the right thing? No, it's not doing the exercise with the correct form, or doing the correct rep scheme or pushing with the correct intensity. None of that. The right thing is showing up and actively working on improving yourself. That means taking the time to experiment and eventually figure out how to do things right. It means not letting perfect be the enemy of good.
If you're looking for resources to learn the big 3 lifts, I highly recommend the articles on strongerbyscience. Here's their deadlift article.
And as others have said, don't be shy to ask others for guidance. I've had my share of asking for form checks and of being asked for form checks. The gym is the kind of place where everyone generally likes to help each other out.
Yes please. I made the same request a while back but it went unanswered :(
It peaked when it was good enough to generate short somewhat coherent phrases. We'd make it generate ideas for silly things and laugh at how ridiculous the results were.
Why would you need anyone to buy your products when you can just enjoy them yourself?
It's also crazy to realize something you think to be common knowledge turns out to not be common knowledge. We learned about the four humours in high school English because it's relevant to analyzing older texts. I don't think I know anyone IRL who don't know what they are.
Basically any question you might have can be fed into ChatGPT. You just need to be aware that its output is very often wrong. I would only recommend using on topics that you're already well versed in so that you can recognize when it's wrong.
I don't see the need to ever pay for it. I'm already getting everything I need out of the free model. Never had issues with prioritization. If it's slow to respond, that's just more time that I spend thinking about the question myself — something I would be doing regardless.
An idea I've been toying with is that laws should be written like software with lots of test cases. It makes no sense to create laws with ambiguous terms that only become concrete when it goes through court. We should know what the law actually is before it gets passed.
That's how it works in Canada. There's a set amount given to the parent giving birth, then the rest can be split however you want.
For sure. I was suggesting we look at the stock market model as inspiration, not to copy it exactly. I don't really know what the exact solution would look like. I haven't thought through this as deeply as Pete probably would have.
Sellers includes the employees. I put it in quotes because it isn't exactly the same as other buying and selling transactions where the sellers are actively part of the transaction.
We're already feeling the threat of becoming a US state every day. No tariff can top that.
Fair in the sense that both the buyer and "sellers" agree on the price.
As long as the price is fair, I don't see why this should be a problem. It sounds like it should be mathematically equivalent to purchasing a percentage of everyone's shares. So share value goes down because you've essentially "sold" some of it to someone else without changing the absolute number of shares you own.
I'm saying that it makes no difference even if everyone did it. Denoising is trivial.
The noise you add won't even register. No two people are going to half-ass it the same way, so if you average everyone's responses, the correct answer comes out.
Regarding #1, it can work the same way that company ownership works now (e.g. when you buy shares on the stock market). I don't know how they inject money when times get tough but I've certainly never given them anything.
Because it can do something that the alternatives can't do or because they refuse to use something more modern?
That's the thing. There's a long line of hands taking turns in stroking his ego. Which one was last to do it? How long before the next one and who is it going to be? We don't know any of that.
It only works as a joke when your audience knows you well enough to know it's meant as a joke without the /s. That does not apply to you when you post on Lemmy.
Those interests have historically been very stable over time so it was easy to tell if you were going to be a friend or foe. But they suddenly changed with the current administration and we have no idea what they are anymore.
Andrew Barto and Richard Sutton are the recipients of the 2024 ACM A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning. In a series of papers beginning in the 1980s, Barto and Sutton introduced the main ideas, constructed the mathematical foundations...
Physical Intelligence is bringing general-purpose AI into the physical world.
https://bsky.app/profile/natolambert.bsky.social/post/3lh5jih226k2k
Anyone interested in learning about RLHF? This text isn't complete yet, but looks to be a pretty useful resource as is already.
Apparently we can register as a liberal to vote in the upcoming leadership race. What does it mean if I register? What do I gain (besides the aforementioned voting) and does it place any kind of restrictions on me (e.g. am I prevented from doing the same with a different party)?
This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based RL, policy-gradient methods, model-based methods, and various other topics (including a very brief discussion of RL+LLMs).
An overview of RL published just a few days ago. 144 pages of goodies covering everything from basic RL theory to modern deep RL algorithms and various related niches.
> This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based RL, policy-gradient methods, model-based methods, and various other topics (including a very brief discussion of RL+LLMs).
If there's insufficient space around it, then it'll never spawn anything. This can be useful if you want to keep a specific spawner around for capture later but don't want too spend resources on killing the constant stream of biters.
I'm looking to get some smart light switches/dimmers (zigbee or matter if that's relevant), and one of the requirements for me is that if the switches aren't connected to the network, they would behave like regular dumb switches/dimmers. No one ever advertises anything except the "ideal" behaviour when it's connected with a hub and their proprietary app and everything, so I haven't been able to find any information on this.
So my question: is this the default behaviour for most switches? Are there any that don't do this? What should I look out for given this requirement?
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Edit: Thanks for the responses. Considering that no one has experienced switches that didn't behave this way nor heard of any, I'm proceeding with the assumption that any switch should be fine. I got myself some TP Link Kasa KS220 dimmers and it works pretty well. Installation was tough due to its size. Took me about an hour of wrangling the wires so that it would fit in the box. Dimming also isn't as smooth as I'd like, but it works. I haven't had a chance to set it up with Home Assistant yet since the OS keeps breaking every time I run an update and I haven't had time to fix it after the last one. Hopefully it integrates smoothly when I do get to it.
This is a video about Jorn Trommelen's recent paper: https://pubmed.ncbi.nlm.nih.gov/38118410/
The gist of it is that they compared 25g protein meals vs 100g protein meals, and while you do use less of it for muscle protein synthesis at that quantity, it's a very minor difference. So the old adage still holds: Protein quantity is much more important than timing.
While we're at it, I'd also like to share an older but very comprehensive overview of protein intake by the same author: https://www.strongerbyscience.com/athlete-protein-intake/
Ten years ago, Dzmitry Bahdanau from Yoshua Bengio's group recognized a flaw in RNNs and the information bottleneck of a fixed length hidden state. They put out a paper introducing attention to rectify this issue. Not long after that, a group of researchers at Google found that you can just get rid of the RNN altogether and you still get great results with improved training performance, giving us the transformer architecture in their Attention Is All You Need paper. But transformers are expensive at inference time and scale poorly with increasing context length, unlike RNNs. Clearly, the solution is to just use RNNs. Two days ago, we got Were RNNs All We Needed?
Recordings for the RLC keynote talks have been released.
Keynote speakers:
- David Silver
- Doina Precup (Not recorded)
- Peter Stone
- Finale Doshi-Velez
- Sergey Levine
- Emma Brunskill
- Andrew Barto
OpenAI just put out a blog post about a new model trained via RL (I'm assuming this isn't the usual RLHF) to perform chain of thought reasoning before giving the user its answer. As usual, there's very little detail about how this is accomplished so it's hard for me to get excited about it, but the rest of you might find this interesting.
Following up on another question about open source funding, how does it usually work when there is funding to pay for the dev's work, then someone new joins in and makes significant contributions? Does the original dev still keep everything? Do you split the funds between the devs? If so, how do you decide how much each person gets? Are there examples of projects where something like this has happened?
There's many posts here with the purpose of convincing people to support electoral reform. Not so much that's actually actionable. What do we do if we want to change things? For a start, does anyone have information on who's responsible for the election system at each level of government in each of the major cities?
I think it's generally agreed upon that large files that change often do not belong while small files that never change are fine. But there's still a lot of middle ground where the answer is not so clear to me.
So what's your stance on this? Where do you draw the line?
This list is a little old, so some of the links may not work anymore, but overall it’s still a pretty solid compendium for any budget concious Linux (or Windows) gamer! -------- Know of a game that should be added to the list? Leave a comment below! ^_^ Also check out: * The LibreGameWiki [https://l...
I suspect this is a problem with posts that have extremely long bodies like this one: https://slrpnk.net/comment/8035803
I'm trying to scroll down to the top first comment and inevitably overshoot. When I i try to scroll back up, it suddenly jumps back to the middle of the OP's body.
I was looking up when babies can safely start eating untoasted bread and one of the images led me to this website that sells... stuff? Are they selling me the question? Who knows.
Then if you scroll down to the related products, you can buy a basketball club for $30, down from $15!
I'm guessing this is some phishing website looking to steal credit cards. I also still haven't found an answer to my original question.
Introducing SIMA, a Scalable Instructable Multiworld Agent
Is it possible for posts to show the domain (TLD and SLD) of link posts?
Use case: I don't want to watch videos so I want to avoid clicking YouTube links. I would like to know that they are YouTube videos without having my phone spend the next minute trying to open YouTube.