Hello, kids! Pirates are very bad! Never use qBittorent to download copyrighted material, and certainly do NOT connect it to a VPN to avoid getting caught. Additionally, you should also NEVER download illegal material via an https connection because it is fully encrypted and you won’t get caught!
deleted by creator
This is another reminder that the anomalous magnetic moment of the muon was recalculated by two different groups using higher precision lattice QCD techniques and wasn’t found to be significantly different from the Brookhaven/Fermilab “discrepancy”. More work needs to be done to check for errors in the original and newer calculations, but it seems quite likely to me that this will ultimately confirm the standard model exactly as we know it and not provide any new insight or the existence of another force particle.
My hunch is that unknown particles like dark matter rely on a relatively simple extension of the standard model (e.g. supersymmetry, axioms, etc.) and the new physics out there that combines gravity and QM is something completely different from what we are currently working on and can’t be observed with current colliders or any other experiments on Earth.
So probably we will continue finding nothing interesting for quite some time until we can get a large ML model crunching every single possible model to check for fit on the data, and hopefully derive some better insight from there.
Though I’m not an expert and I’m talking out of my ass so take this all with a grain of salt.
Sam Altman: We are moving our headquarters to Japan
I think this is downplaying what LLMs do. Yeah, they are not the best at doing things in general, but the fact that they were able to learn the structure and semantic context of language is quite impressive, even if it doesn’t know what the words converted into tokens actually mean. I suspect that we will be able to use LLMs as one part of a full digital “brain”, with some model similar to our own prefrontal cortex calling the LLM (and other things like vision model, sound model, etc.) and using its output to reason about a certain task and take an action. That’s where I think the hype will be validated, is when you put all these parts we’ve been working on together and Frankenstein a new and actually intelligent system.
For the love of God please stop posting the same story about AI model collapse. This paper has been out since May, been discussed multiple times, and the scenario it presents is highly unrealistic.
Training on the whole internet is known to produce shit model output, requiring humans to produce their own high quality datasets to feed to these models to yield high quality results. That is why we have techniques like fine-tuning, LoRAs and RLHF as well as countless datasets to feed to models.
Yes, if a model for some reason was trained on the internet for several iterations, it would collapse and produce garbage. But the current frontier approach for datasets is for LLMs (e.g. GPT4) to produce high quality datasets and for new LLMs to train on that. This has been shown to work with Phi-1 (really good at writing Python code, trained on high quality textbook level content and GPT3.5) and Orca/OpenOrca (GPT-3.5 level model trained on millions of examples from GPT4 and GPT-3.5). Additionally, GPT4 has itself likely been trained on synthetic data and future iterations will train on more and more.
Notably, by selecting a narrow range of outputs, instead of the whole range, we are able to avoid model collapse and in fact produce even better outputs.
We have no moat and neither does OpenAI is the leaked document you’re talking about
It’s a pretty interesting read. Time will tell if it’s right, but given the speed of advancements that can be stacked on top of each other that I’m seeing in the open source community, I think it could be right. If open source figured out scalable distributed training I think it’s Joever for AI companies.
I don’t know what type of chatbots these companies are using, but I’ve literally never had a good experience with them and it doesn’t make sense considering how advanced even something like OpenOrca 13B is (GPT-3.5 level) which can run on a single graphics card in some company server room. Most of the ones I’ve talked to are from some random AI startup that have cookie cutter preprogrammed text responses that feel less like LLMs and more like a flow chart and a rudimentary classifier to select an appropriate response. We have LLMs that can do the more complex human tasks of figuring out problems and suggesting solutions and that can query a company database to respond correctly, but we don’t use them.
Blocking out the sun with aerosols is a good idea if you know with high confidence how it will impact the climate system and environment. That’s why they’re trying to simulate it with the supercomputer, so they know if it fucks stuff up or not.
This makes sense for any other company but OpenAI is still technically a non profit in control of the OpenAI corporation, the part that is actually a business and can raise capital. Considering Altman claims literal trillions in wealth would be generated by future GPT versions, I don’t think OpenAI the non profit would ever sell the company part for a measly few billions.
Lmao Twitter is not that hard to create. Literally look at the Mastodon code base and “transform” it and you’re already most of the way there.
I really hate the state of the Supreme Court atm. Looking back, it wasn’t a legitimate institution from the beginning, but the current 6-3 court shows how flawed it is, being out of line with public opinion in loads of different cases and effectively legislating from the bench via judicial review.
The only reason it has gotten this bad, though, is because Congress has abdicated its responsibilities as a legislative body and left it more and more to executive orders and court decisions. The entire debate around the Dobbs decision could have been avoided if Dems codified abortion into law, and this one could have avoided too if our Congress actually went to work legislating a solution to the ongoing student loan and college affordability crisis.
I think we need supreme court reform. I’m particularly partial to the idea of having a rotating bench pulled randomly from the lower courts each term, with each party in Congress getting a certain amount of strike outs to take people off that they don’t want, similar to the way jurors are selected. I also think the people should be able to overrule the court via referendum, because ultimately we should decide what the constitution says.
I just can’t see this happening though, at least for multiple decades until the younger people today get into political power.
The natural next place for people to go to once they can’t block ads on YouTube’s website is to go to services that exploit the API to serve free content (NewPipe, Invidious, youtube-dl, etc.). If that happens at a large scale, YouTube might shut off its API just like Reddit did and we’ll end up in scenario where creators are forced to move to Peertube, and, given how costly hosting is for video streaming, it could be much worse than Reddit->Lemmy+KBin or Twitter->Mastodon. Then again, YouTube has survived enshittiffication for a long time, so we’ll have to wait and see.
FediSearch I guess is similar to your idea, though I think the goal would be to make a new and open search index specifically containing fediverse websites instead of just using Google. I also feel like the formatting should be more like Lemmy, with the particular post title and short description showing instead of the generic search UI.
The idea of a fediverse search is really cool though. If things like news and academic papers ever got their own fediverse-connected service, I could see a FediSearch being a great alternative to the AI sludge of Google.
I don’t really think compulsory voting would be that beneficial for democrats. Yes, it may boost them a few points across the board, but my general intuition about the general public is they lean towards democrats but are more socially conservative than you see in online spaces. 2020 is probably the best example: super high turnout yet Dems still clipping by with only a +4 advantage instead of the +10 predicted by looking at far more politically engaged voters.
Basically he is pro-privacy, somewhere in the libertarian space, supports usage of monero, recommends you move to a rural area, etc.
I can’t think of a time he’s said any slur, but there is a particular video I would be interested to see it
The comment is trying to point out, albeit obtusely, that democrats have also funded crazy people on opposite end of the political spectrum. In 2022 the democrats funded far right candidates in hopes they would win the primary and be an easy victory royale for the dem candidate. The comment is trying to analogize these two things, which is fair because it is a similar political strategy.
I definitely agree. The vast majority of people still left on Reddit are those who are corporate bootlickers and those who do not care and just want to doom scroll.
Neither type adds anything to an online community
NFTs are stupid AF for most of the tasks people currently use them for and definitely shouldn’t be used as proof of ownership of physical assets.
However, I think NFTs make a lot of sense as proof of ownership of purely digital assets, especially those which are scarce.
For example, there are several projects for domain name resolution based on NFT ownership (e.g you look up crypto.eth, your browser checks that the site is signed by the owner of the crypto.eth NFT, then you are connected to the site), as it could replace our current system, which has literally 7 guys that hold a private key that is the backbone of the DNS system and a bunch of registrars you have to go through to get a domain. This won’t happen anytime soon but it is an interesting concept.
Then I think an NFT would also be good as a decentralized alternative to something like Google sign in, where you sign up for something with the NFT and sign in by proving your ownership of it.
In general though I find NFTs to be a precarious concept. I mean the experience I’ve had with crypto is you literally have a seed phrase for your wallet, and if it gets stolen all your funds are drained. And then for an NFT, if you click on the wrong smart contract, all your monkeys could be gone in an instant. There is in general no legal recourse to reverse crypto transactions, and I think that is frankly the biggest issue with the technology as it stands today.