Historically, AI has found and used exploits. Before OpenAI was known for chatgpt, they did a lot of work in reinforcement learning (often deployed in game-like scenarios). One of the more mainstream training strategies (pioneered at OpenAI) played sonic and would exploit bugs in the game, for example.

The compute used for these strategies are pretty high though. Even crafting a diamond in Minecraft can require playing for hundreds of millions of steps, and even then, AI might not constantly reach their goal. Theres still interesting work in the space, but sadly LLMs have sucked up a lot of the R&D resources.

The challenge is that AI for a video game (even one fixed game) is very problem specific and there’s no generalized approach/kit for developing AI for games. So while there’s research showing AI can play games, it’s involved lots of iteration and AI expertise. Thats obviously a large barrier for any video game and that doesn’t even touch the compute requirements.

There’s also the problem of making AI players fun. Too easy and they’re boring, too hard and they’re frustrating. Expert level AI can perform at expert level, which wouldn’t be fun for the average player. Striking the right difficulty balance isn’t easy or obvious.

You gain brouzouf…

Is there enough gear/experience to just skip the open world stuff? It wasn’t clear to me when playing if I would hit a wall and needed to grind on the open world to progress.

Yeah your understanding about the towers is correct. I don’t think it’s inherently bad, I’ve even enjoyed it in some of the AC games, but in rebirth it just feels like a bad chore list. Some of the combat challenges can be interesting but the ones with the summon stones (I forget the name, but they reduce the power of summon fights and do other things) and scanning the life springs are just terrible imo.

This is a pretty bad take and I feel like you must have not really played tribes very much. Comparing tribes to CS? Really? You think the popularity is because of the team sizes?

The fact that they are only implementing 16v16 seems like a warning flag to me. I wouldn’t be surprised if this ends up as a mediocre experience with a few tribes mechanics just largely trying to cash in on name recognition.

That applies to the software itself, sure, but only if you bring your own infrastructure. Large scale FOSS infrastructure services are going to be the exception not the norm.

Nah I’d disagree. Infinite growth motive doesn’t necessarily apply to private companies. To suggest there’s unbridled greed present in every company is just a falsehood.

If you’re not paying for a service, then you’re the product. I never understood the expectation that people should just provide you email and storage for free, because?

I would agree with this, I use Nvidia cards for professional work on Linux and I’ve never had a problem. Yeah there’s some upfront work configuring the drivers, but I’ve never had it take more than an hour to setup.

Factor 1: Not quite accurate. Yes there are categories of waste; the names change depending on the regulator. The lower level wastes are already disposed of in the US (there are already four such facilities). The politically charged problem is always the spent nuclear fuel itself.

Factor 2: Senator Reed (D-NV) was a former Senate majority leader. He extracted the defending of Yucca Mountain from the Obama administration as a concession to pass Obamacare. It’s still technically viable and not disposing of waste costs enormous amounts of money. The federal government is legally obligated to take spent fuel off the hands of operators. Obviously they have not, so the government is sued (and loses). This has cost the government roughly $20b for their inaction see here..

Factor 3: You can recycle spent fuel but there’s no concept as spent fuel with zero radioactivity.

Two largest problems in the US: Inability to manage waste and inability to execute on large scale construction required for nuclear.

Liking a game despite its flaws doesn’t mean it’s a good game that deserves a high score.

I’m not really convinced that a GPU backend is needed. Was there ever a comparison of the different CLIP model variants? Or a graph optimized / quantized ONNX version?

I think the proposed solution makes a lot of sense for the task at hand if it were integrated on the pic-rs end, but it would be worth investigating further improvements if it were on the lemmy server end.

Reprocessing already exists and it’s been done for decades. I can’t imagine reprocessing fuel for recycling the usable components is that compelling in the US and it would be more geared to waste reduction. 99% of spent fuel by mass could be reused or otherwise treated differently for disposal as it’s radioactivity is much much smaller than the portion that has been transmuted during power production.

This is really only one facet and not even the main driver in cost. MIT did a study a few years ago looking at this (https://news.mit.edu/2020/reasons-nuclear-overruns-1118). Turns out it’s complicated.

In short, in the US, lacked of skilled labor and large scale project management are big drivers also, not just regulations.

That’s a limitation of the secondary power conversion side and is true for any power generation methodology that relies on steam generation. That said, there’s alternatives to the traditional Rankine cycle that could be deployed without modifying the nuclear side of the plant.