I didn’t go though every level, but do you mean when it asks for the local LAN IP address?

The route seemed to vary depending on the is version, starting from using the built in browser to a few other options. But basically I worry can I trust the guys more than LG? Like is there a business model behind the service?

That sounds close to what human researchers do as well. Big part of getting grants/doing graduate work is finding a tractable problem. It requires constant refinement of what the scope and direction of focus.

That's not even remotely how human research works.

I guess this is the part where you claim to have ever done graduate or higher level research before, that wasn’t just a PI just giving you pre defined, contained side project for a summer.

Well yes, that's what a dissertation is. My PI didn't help my at all.

I don’t know, I feel like he is using a lot more convincing arguments than just being dismissive without real substance like you are. When you say huge externalities are you referring to something that hasn’t been seen in other major industrial paradigm shifts?

Whats the arguments?? They're making sensationalist claims based of headlines and twitter discourse. This is all zeitgeist nonsense, anyone using AI on the day to day for hard problems knows its capabilities are far less than what you'll see claimed on this site, x the everything app, and LinkedIn.

There's genuinely just a ton of people who work on 40th percential problems and are super impressed. There's people who work on 90th percentile problems who are impressed too, but if you put those 40th percentile problem solvers on the 90th percentile problems they would not have the same outcomes. The agents by themselves are not as impressive as they're made out to be.

its like owning a personal computer in 1986. the tv talking how its going to revolutionize everything and yet their too expensive for most people to own or and 40% problem people were getting bogged down with just owning a pc, writing dear john letters to their VCRs for ever calling them difficult to use.

And all the opinions were conflicting, and all the opinions were correct.

Eh, we all say we don’t need the best model, but especially for more personalized request/Advice there is sort of a FOMO feeling, where you are afraid weaker models will miss something and directs you down a more inefficient path.

I haven't used them in 6+ months, you definitely do not need them, I see them make mistakes while reviewing PRs (we allow many models at work)

GLM flash catches Claude errors and bad assumptions, all LLMs make mistakes

This is wrong.

VS Code doesn't allow forks to use their marketplace, I think. At least with VSCodium, they don't. I think they even patch a workaround where you could download almost all extensions' .vsix files.

But they definitely wouldn’t do that.

Yeah, this would have quadratic cost, but something silly has to be happening to waste a noticeable amount of tokens on summaries

Wouldn’t they?

I just had a look, and they don't. It's really just a temporary fork of the conversation, so it's fully cached. But it does run every 30 seconds, so that is very bad especially if it's a subagent that's at 800k tokens.

And I don't really get the point of this feature, I've always found it super annoying that the main agent creates a subagent with the clear description of "Fix tile cache" for example, and then after a while it turns into something generic like "Running browser tests"

> Apple is extremely good at calculating how much inventory they should produce.

That doesn't really matter though for a physical product, unless you are implying they are 1) selling it at a loss or 2) not attempting to maximize profits from the product. If they sell out, it means they hit the target profit from the sale of the product.

It could also mean they're supply-constrained, and cannot set or reach future targets without accounting for surge pricing.

But I assume they are planned/developed at this point, why not release it with the new Pro?

Historically speaking, the Pro/Max versions of the chips have become available at around the same time the next-generation base chip does. So, M4 Pro/Max shipped when M5 shipped, M5 Pro/Max shipped when M6 shipped, and so forth.

OK, didn't realize that. Makes sense, I guess. Was holding out on buying a new laptop since May for this, definitely not going to wait another year.

The M7 generation is said to be another huge advance on local LLM performance, so Apple is skipping the M6 Pro and M6 Max to bring out the M7 generation early.