Youtube comments of WloCkuz (@wlockuz4467).

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  745. Long post ahead. I have done some digging on this project since it blew up so let me share some of my findings. Pieter is your average hustler/builder type of dude who has a massive following on twitter and his online personality revolves around building niche startups and of course selling you his formula for a small price of $30 so you to can become him. There no way to verify if he actually makes the money he claims. The game was built entirely using AI, there is no doubt about it. Because if you look at the source in browser, its a single massive HTML file with more than 5,000 lines of code. No sane developer would write code like this. The funny thing is that there is no architecture like load-balancing you mentioned, he is just straight up rawdogging websockets that send all player data to all players. (More on this later). If its not obvious, the sole reason for the popularity of the game is his massive following of 0.6 million people. I have no way to verify if he has actually made money with this but considering the brainlets that live on Twitter, I wouldn't be surprised if people paid for it. Technically speaking, the game is not that impressive, its like a demo project that you make when you're starting out game dev. Its his following that makes it seem like its the end of game development. Remember the websockets? Because of how the game uses websockets, it has been hacked a few of times already and he is lucky the hackers were nice people and just added bunch of triangles that shoot you and not some vile sh*t. Even I "hacked" it myself by just changing the speed variables to go insanely fast, yeah you don't need to shell out $30 to go fast. This is because the game blindly broadcasts every player's data to every other player who is currently playing without any validation. So you can basically do anything as long as you can make sense of the 5k LoC codebase. Some nice game devs tried to point out these issues to Pieter but instead of taking them into account he flipped out and said that game devs are trying to gatekeep the field and their days are over. Yeah makes no sense to me either. I agree with your take on the popularity, I'd be surprised if he can keep it going for more than a few months. It's a quick cash grab, he knows it and is milking it to the fullest. If anything, my takeaways are as follows: - This is an overhyped project that only blew up only because of its already popular author. You can't replicate his success. - There are companies and even some individuals who are stupid enough to shell out huge amounts money just because its something popular. - This is not the end of game development. Just another Twitter AI slop. - I don't hate Twitter enough.
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  1050. I am no scientist but I find it hard to make sense of what their solution is. AI is bottlenecked by compute and like with everything else with computers, optimising compute is a trade off. You use less compute at the cost of a better model, or at the cost of more compute you get a better model. I believe their latest experimental model cost something like $2k per task which is just nuts. Even if you have a magic optimization that cuts the compute in half without sacrificing quality, you're still paying as much as $1k per task. They'd have to bring it down to pennies or a few bucks in order to actually be profitable otherwise it's literally burning cash. Assuming OpenAI's current greatest model thats publically available is capable of 5% of collective human intelligence (that's being very generous because in reality its probably close to like 0.1% since its built from what's on the internet) and its already heavily bottlenecked on compute. So if you magically scale up to be 100% of human intelligence or even 50%, aka the buzzword Artificial Superintelligence or ASI, you would probably need more compute power to run it than anything has today. You could organise an orgy between AWS, Azure and GCP and still fall short. So unless we invent some new magic energy or build a dyson sphere to get us practically endless energy, I don't see how we can get better AI models than today without it being an economical and environmental crisis. Don't get me wrong, I am not an AI doomer. I love using it to speed up some of my workflows but I am not buying into this super intelligence non-sense.
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  1078. React-pdf is nothing but godsend. Our company had a feature to generate pdf reports from our dashboard. For whatever reason, we had implemented the report generation in a cobbled together AWS environment. The problem was, we can't just generate a report and forget about it. In case the related data updated the report also had to be regenerated. Our "clever" solution was to track account activity and regenerate the report in a predictive fashion. It led to the further complication of our AWS infra. The whole solution worked most of the time but as you can imagine there were always some discrepancies where the reports didn't get updated despite the data being updated. We decided against adding a "Generate report" button on frontend because it wouldn't have solved the complexity with our AWS infra. The answer? React-pdf. We simply ditched our AWS solution and wrote a report API that returned all the latest data required for generating a report, then on frontend we just used react-pdf to render the report on the fly. Now customers can update one character in some insignificant field and it would still be reflected in the report instantly, they can generate 100 or 1000s of reports without us worrying about huge AWS bills or out of sync data. As an added bonus we got reports that looked way nicer than what we had, thanks to react-pdf's web-like design system. Someone at the company even managed to get tailwind to work with it! At first everyone was surprised because it felt so simple compared to the AWS monstrosity. It sounded too good to be true at first but we have been waiting to run into any problems for 2 years now. We even have different themes and layouts for reports now and things just work!
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