Oh that’s really interesting; I hadn’t considered racing games as a genre to benefit from this type of machine learning. I guess I figured there’s not so much to AI there that it’s necessary, at least when we already know the “ideal lap line” for cars to follow, but yeah it gets a lot harder when considering other drivers on the track and a huge array of unique car models with their own handling and performance characteristics.
I wouldn’t mind an AI using unorthodox strategies, but yeah that’s a good point that fine tuning it to be fun is a big challenge. Speaking of “non-player-like behavior”, I wonder if AI could be used to find multiplayer exploits sooner, though the problem there is you don’t really have much training data besides QA and playtesters before a full release.
I’m not into fighting games, but that’s pretty neat! I hope the industry follows suit if people like how it works in Street Fighter 6.
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It doesn’t pass judgment. It just knows what “looks” correct. You need a trained person to discern that. It’s like describing symptoms to WebMD. If you had a junior doctor using WebMD, how comfortable would you be with their assessment?
Yep typical ratings are oriented relative to the “average” consumer. But no person is actually THE average.
It’s a useful place to find out if something totally sucks though. That’s how I use it. 60+? Probably good, at least for some audiences. Less than that? Only if you’re already hyped or a fan of whatever thing it’s related to.
Slappers only, no oddjob
Sounds like she was actually pretty unlucky
I buy a short $5 indie game. I give it away afterwards digitally to a friend. The next guy does the same thing. And the next guy.
Now the developer has to primarily make money by selling merch or ingame ads. No thanks. If the game is good, people will buy it.
You could argue people did this with physical media. But it was not nearly as impactful; I couldn’t click a few buttons in seconds and hand the game away.
It’s one of many things they could do just like how security is a layers thing.
They could inject random zero width non joiners to help detection too. Easy to defeat, but something a layperson would have to go through extra effort to filter out. Kinda like how some plagiarism cases have been won by pointing out identical misspelled words.
I’ve always wondered why chalk and blackboard are still used heavily in professions like that. Are there really no decent software options? Even a smartboard would be nice since you can save and revisit past work. Or does artisanal Japanese chalk really just feel that amazing to use?
I don’t know if that headcount I listed includes contract employees. They typically get compensated far less, and anecdotally I’ve been told by a former Meta friend that there are more contracted developers than salaried there. And what’s the ratio of software developers compared to other personnel? HR, QA, marketing, sales, etc? Employees in other countries? I figured a more conservative estimate was reasonable for cost overall.
Well, about half of that is probably salary. There are apparently 17,000 Reality Labs employees. If you assume the average salary is 100K or more, which is reasonable for tech jobs in high COL areas, you’re already looking at a couple billion after benefits that the company has to spend on headcount. The other spend is probably third-party contracts, hardware, etc.
How many open source projects have 50 million lines of code like Windows, or legal agreements related to backwards compatibility and version support guarantees?
A for-profit company is going to focus on whatever generates revenue, sure. But crappy software will lose customers in a non-monopoly scenario. They’re not exactly incentivized to make broken things nobody wants.
That’s…a gross oversimplification. Super popular open source projects tend to have few bugs from the sheer number of contributors available to fix them, but active proprietary software has dedicated teams working fulltime every week to deal woth issues. Proprietary stuff is often way wider in scope than open source, so more surface for bugs to creep in. Scope and team size have a lot more to do with bug density than open vs closed source.
All i read is “Damn, they’re a super capable team.”
Oh yeah, I read about that! Not really ML, but pretty much what I’d like more games to have.