Plenty of memory addresses to go around with 64gb of RAM. Take your pick.

Doesn’t the power of unions come from the employer’s need for human workers? If they don’t need human workers anymore, then what good would a union do?

An example that comes to mind is mockery. People generally find mockery of behaviour/ideas that they find nonsensical to be funny. So if someone proposes that everything can be solved by a good guy with a gun, you can then mock the idea by proposing it for increasingly ridiculous scenarios.

I’ve been experimenting a bit with adding LLMs into my workflow, and even when using it constantly for a full 8h workday, it barely uses any of my quota. I’m guessing that those who burn through an excessive number of tokens are probably just letting a bunch of them run unattended and automatically allowing everything. There’s just no way to verify that much of its output.

Very likely. Everyone I know who’s in a software development role is required to use these tools now.

100% of Americans (rounded to the nearest 1%) participate in capitalism. How many of those actually support the system?

LLMs are still a facet of AI though. It sounds like they’re saying it shouldn’t be categorized as AI at all.

Or any task change really. You tell me that I’m here for a writing task, then halfway through it becomes a math test? There’s no way I’m doing anywhere near as well as if they told me what was happening ahead of time.

And also have their AIs read another 100 emails for them.

The way it seems to work in Canada is that the government decides on a set of topics they want to fund that are fairly high level, and as long as your work falls in one of those categories, the grant gets approved. So the government doesn’t choose the specific drug to study. They choose which medical condition we want to try to treat, then they let the PIs tell them what they want to do and how it relates to those priorities.

Yes

You could say the same about people who used the early 2000s Google by entering full questions with natural language and clicking “I’m feeling lucky”. There are always going to be wrong ways to use a tool. But we’re discussing whether there exists a right way. And that right way includes verifying the information you receive, just like you would if you found it through a regular search engine.

The social and environmental costs are real. That’s not the criticism you gave and not what the responses are disagreeing with.

Willingness to look is a pretty important factor. LLMs reduce the personal cost incurred to look up information, similar to how search engines saved us from having to go to the library for every question we had.

We already had subreddit simulator for ages. This isn’t anything new.

The poll didn’t even ask a real question. “Yes AI or no AI?” No context.

The main difficulty is in how many hyperparameters are involved in training an RL agent, high sensitivity of RL algorithms to those hyperparameters, and not having a good understanding of how to select them based on the properties of your task. This problem is exacerbated by the high sample complexity of RL. If something doesn’t work out, you don’t know if it’s because you chose the wrong set of hyperparameters or if you just haven’t trained for long enough.

I don’t know much about game design, but I do know that it’s a much more mature field than RL, so surely they have better tools than guessing and praying.

It is expensive, but it does work. We’ve already seen things work to a limited extent on StarCraft 2, Dota, and Gran Turismo, and those are all multiplayer games. The article seems to be talking about single player games, which simplified things a lot.

Game playing is not LLM. They’re game-specific reinforcement learning models. It’s not easy, but definitely doable with existing tech. Sony’s GT Sophy is a good demonstration on what they’re capable of.

I don’t know if you can describe it as “can’t be arsed” when their proposed solution is so much harder to implement.

There’s high demand for both RAM and GPUs coming from datacenters. Us regular consumers are just a tiny blip on their radar.