Meanwhile, the people who stay behind and actually make these half-finished apps work properly, maintain them and deal with all the boring problems rarely get the same credit or benefits.
1,992 karma · joined August 5, 2024
Meanwhile, the people who stay behind and actually make these half-finished apps work properly, maintain them and deal with all the boring problems rarely get the same credit or benefits.
And you (pedro_movai) == the author? So you are saying that potential issue? Sorry, technically you are right that the author is saying that but I got confused with you referring to yourself in third person. Nothing wrong with it. Just want to confirm if you're the author.
Yes, I know it's not just a dumb statistical model like a simple neural network. Yes, I know all about the vectors Q, K, V and how they contain long range contexts. But still! How does all of this emerge into something that can produce such insightful output? I still can't wrap my head around this. Am I dreaming? Am I living in a science fiction?
It surprises me that anyone would feel entitled to ask a blogger to change the variety of English they use. American English is only one of many forms of English. The world is richer for its many varieties of English, and languages, and that diversity makes it more interesting, not less.
> At Uber’s scale, DynamoDB became expensive. Hence, we started keeping only 12 weeks of data (i.e., hot data) in DynamoDB and started using Uber’s blobstore, TerraBlob, for older data (i.e., cold data). TerraBlob is similar to AWS S3. For a long-term solution, we wanted to use LSG.
Honest question. Why do people go for this kind of complicated solution? Wouldn't Postgres work? Let's say each trip creates 10 ledger entries. Let's say those are 10 transactions. So 150 million transactions in a day. That's like 2000 TPS. Postgres can handle that, can't it?
If regional replication or global availability is the problem, I've to ask. Why does it matter? For something so critical like ledger, does it hurt to make the user wait a few 100 milliseconds if that means you can have a simple and robust ledger service?
I honestly want to know what others think about this.
Maybe you did. Maybe you didn't. It's your word vs. theirs.
But one thing that is undeniable is that your article reads very much like AI-generated text. While reading it, I couldn't help thinking how ironic it is to write about the virtues of simpler devices using something that is obviously an AI-generated article.
The Pangram report doesn't help your case either: https://www.pangram.com/history/f733dac6-a23f-480e-b18a-6794... (100% AI Generated)
If the commit frequency goes down, does it really mean that the project is dying? Maybe it is just becoming stable?
How'd that work? If it's in memory, the extensions would vanish everytime I shutdown Chrome? I'll have to reinstall all my extensions again everytime I restart Chrome?
Have you seen any browser that keeps extension in memory? Where they ask the user to reinstall their extensions everytime they start the browser?
But the language of "your computer" also implies software on your computer including but not limited to Chrome extensions.
I don't understand how HN's news guidelines apply to a blogger writing an article on their own blog. The controversial language was found in the article. It wasn't found in the thread you're replying to.
Images are not replacements of source code files. Images are used in addition to source code files. Source code is checked in. Images are created and shipped. The image lets you debug things live if you've got to. You can introspect, live debug, live patch and do all the shenanigans. But if you're making fixes, you'd make the changes in source code, check it in, build a new image and ship that.
That reason is buying stars, agent swarms, and astroturing.
No project gathers 200K stars genuinely in 3 months. There are far more useful and popular projects that need 10 years to get 200K stars. When you see a project like this get 200K stars in just 3 months, you know something is very fishy.
React and Linux got their 200K stars slowly but surely over 10 years. OpenClaw got their 200K stars in like 3 months! Is this any meaningful comparison?
Getting 200K stars today doesn't mean much because today stars can be bought. There's a big shady thriving business of selling stars. Stars today can be generated using swarm of thoughtless agents. What's the use of counting these stars when they don't mean anything anymore?
Correct. The article does not disagree with you.
> or that anyone should have more power just because they are active in the project.
So you are saying that although I create a project to solve my problems but as soon as I make it open source (so that others can also benefit) my power on the project will become equal to the power every random person on earth has on my project?
If making my project reduces my power on the project, why would I ever open source anything?
Good thing that open source world does not work like that. When I make my project open source, I still have full power on my project and I decide what goes in it and what is rejected. I have no reason to not use the powers I have on the project.
If it ever became like you say that as the creator of an open source project, my powers will be equal to the powers of every random user, I'd stop making anything open source.
Yep. "possible but unlikely" was my take too. As another person commented, this isn't really a benchmark, and as long as that's clear, it seems fair. My only fear is that some submissions may be AI-assisted rather than fully AI-generated, with crucial insights coming from experienced mathematicians. That's still a real achievement even if it's human + AI collaboration. But I fear that the nuance would be lost on news media and they'll publish news about the dawn of fully autonomous math reasoning.
Not a mathematician and obviously you guys understand this better than I do. One thing I can't understand is how they're going to judge if a solution was AI written or human written. I mean, a human could also potentially solve the problem and pass it off as AI? You might say why would a human want to do that? Normal mathematicians might not want to do that. But mathematicians hired by Anthropic or OpenAI might want to do that to pass it off as AI achievements?
> the answers are known to the authors of the questions but will remain encrypted for a short time.
Ok. But humans may be able to solve the problems too. What prevents Anthropic or OpenAI from hiring mathematicians, have them write the proof and pass it off as LLM written? I'm not saying that's what they'll do. But shouldn't the paper say something about how they're going to validate that this doesn't happen?
Honest question here. Not trying to start a flame here. Honestly confused how this is going to test what it wants to test. Or maybe I'm just plain confused. Someone help me understand this?