Original poster - made a chrome extension where ChatGPT decides whether you can visit distracting sites as a side project. Curious what people think? Is this whole concept dystopian?
Readit Newsfileyfood500 commented on Thought Experiment (browser extension): GPT in charge of Parental Controls? github.com/jordansafer/vo... · Posted by u/fileyfood500
fileyfood500 commented on alphaXiv: Open research discussion on top of arXiv alphaxiv.org/... · Posted by u/sahebjot
It would be amazing if bioRxiv and medRxiv were included! I was curious how bioRxiv compared in usage/size to arXiv, and dug through the stats on each site. Both sites report paper download stats, and arXiv is about 12x larger (~50+ million downloads/month vs 4 million downloads/month for bioRxiv).
Interestingly, the sites have grown at a similar rate. Going back to 2020, arXiv had 25+ million downloads/month and bioRxiv had ~2.1 million.
[1] https://arxiv.org/stats/monthly_downloads [2] https://api.biorxiv.org/reports/usage
Adding submissions stats:
1. arXiv, ~21k/month
2. bioRxiv, ~5k/month
3. medRxiv, ~1.3k/month
It would be interesting to see usage of other _xiv's and other pre-print publishers!
[1] https://arxiv.org/stats/monthly_submissions [2] https://api.biorxiv.org/reports/content_summary [3] https://api.medrxiv.org/reports/content_summary
fileyfood500 commented on alphaXiv: Open research discussion on top of arXiv alphaxiv.org/... · Posted by u/sahebjot
awesome honking idea !
please add "spaces" for biorxiv and medrxiv too !
It would be amazing if bioRxiv and medRxiv were included! I was curious how bioRxiv compared in usage/size to arXiv, and dug through the stats on each site. Both sites report paper download stats, and arXiv is about 12x larger (~50+ million downloads/month vs 4 million downloads/month for bioRxiv).
Interestingly, the sites have grown at a similar rate. Going back to 2020, arXiv had 25+ million downloads/month and bioRxiv had ~2.1 million.
[1] https://arxiv.org/stats/monthly_downloads [2] https://api.biorxiv.org/reports/usage
I didn't take a look at the code, but to me it sounds quite dangerous to take an implementation AND the unit tests straight from an LLM, commit and move on.
Is this the new normal now?
It's very powerful, I can enter implementations for any algorithm by typing 5 words and clicking tab. If I want the AI to use a hashmap to solve my problem in O(n), I just say that. If I need to rewrite a bunch of poorly written code to get rid of dead code, add constants, etc I do that. If I need to convert files between languages or formats, I do that. I have to do a lot more code review than before, and a lot less writing. It saves a huge amount of time, it's pretty easy to measure. Personally, the order of consultation is Github Copilot -> GPT4 -> Grimoire -> Me. If it's going to me, there is a high probability that I'm trying to do too many things at once in an over-complicated function. That or I'm using a relatively niche library and the AI doesn't know the methods.
Specifically for the US and Germany literacy results, I see a difference between these and past methods of measuring literacy. In the first link, the most basic sample question required the user to interpret a simple table. The second and third level questions required users to navigate websites, including a task of finding the correct link to navigate to the correct page of a site.
I think this establishes a great point that we have an ever changing society with growing demands, where we now need to consider much more than just reading words. Internet literacy is a huge barrier, and it’s great to see it getting measured and accounted for as countries continue to adapt education to the changing times.
Left unsaid in this piece is that OpenAI likely would have to increase parameters and compute by an order of magnitude (~10x) to train a new model that offers noticeable improvements over GPT-4, due to the diminishing returns seen in "transformer scaling laws."
Also, it's possible that OpenAI is still training GPT-4, perhaps with additional modalities, and will make future snapshots available as public releases.
I often see mistakes when chatgot is faced with more spatial reasoning, and I wonder if changes as simple as deep convolutional subnetworks in intermediaries layers would help the language model fit better in these situations. In short, I’m excited to see where things go, and can definitely see room for great improvement through improvements to the architecture!
fileyfood500 commented on Purchasing Power Parity: Fair pricing for SaaS products scastiel.dev/implement-pp... · Posted by u/throwaway888abc
No this is not irrational. When it comes to things like this they are only able to justify that price because information asymmetry. It's not irrational to not want to get gouged or overpay. That extra money if it was not wasted because information asymmetry would provide value elsewhere in someones life or business dealings on other things.
Like some companies have ridiculous things like MAP when comes to retailers selling their products.
Just because a lot people are getting gouged and don't realize it does not mean they are not being gouged on price. Ideally other competition would help balance out this information asymmetry. In the ideal sense that a competitors costs to produce the same product/good would be roughly the same or in at least similar ball park that if one company is pricing something insanely high it would stand out. Although there hosts of reasons this does not work out in practice ranging from limited or no competition. Other issues such as that most goods are not identical ect...
I agree with your sentiment, and I am comforted by competition balancing things out. I think these price distortions are coming from companies with less competition (or they're just losing out on customers!) Most competitive software applications are offered for free (social media, web browsing, word processing) no matter how wealthy the users are, because nobody would pay more for an equivalent product.
This is definitely a good argument for encouraging competition and increased price transparency.
fileyfood500 commented on Dark Sky iOS app will no longer work from Dec 31 blog.darksky.net/... · Posted by u/SamuelAdams
What did Apple take away here? The app icon? Android support has been gone since 2020 and most (all?) of the features of Dark Sky are integrated (and enhanced apparently) into iOS 16. So you have a situation where all the people that "had a good thing" now have it by default without an extra app they have to click on and now more people will have that good thing by default for free. If anything, this is anti-anti-competitive behavior because it's PRO-consumer. Apple is literally giving away a $4 app that was previously available ONLY to iOS users to all iOS 16 users.
If this is anti-consumer in your mind I would really like to hear what acquisition is not an antitrust problem from your perspective.
Apple produced a weather app and bought out a leading competitor. This hurts the consumer because there is a loss of consumer choice and competition in the space.
In a related vein, it's exciting that Apple is investing in Apple Maps as a competitor to Google Maps, especially since Google bought out Waze a few years ago.
fileyfood500 commented on Quantum Virtual Machine to accelerate research and learning blog.google/technology/re... · Posted by u/jedwhite
I just tried IBM Quantum Composer[1] after reading through this Colab and finding I didn't know enough about quantum circuits to do anything besides clicking play. Quantum Composer gave me a super simple drag and drop GUI for getting familiar with basic circuits/building blocks.
I made it 20 minutes before having to look up a Bloch sphere (happens when you start experiments with 'S' and 'Z' blocks which add phase shifts). I don't directly use a lot of IBM products, and I had a great experience with this one!