ehsankia

LLMs should be for general/high level work. For example, an LLM with the right harness could fetch and use that CNN, or train it's own CNN or other model to use for this task.

The harness in my experience makes a huge different too. Out of curiosity I tried having Gemini chat (with Argon) try to solve a level of this new puzzle game I'm linking (Order of the Sinking Star). It just got in an infinite loop and crashed. Then I try Antigravity with Flash 3.8 and it solved it easily. I saw the harness looked at other sokoban puzzles, coded some stuff, tried to replicate the level, etc. All things that a pure Gemini Chat doesn't really do.

LLMs are great for the high level harness, but if you want to count letters for example, it will still rely on "tools" like a piece of code to do it more reliably. Similarly in the above example, you wouldn't have the LLM directly try to analyze the images, but instead fetch and use the best tool for the job. But that can only be as good as the harness/tools it has access to.

It's indeed very confusing, it's either

1. It's available to Pro in Gemini app, but NOT antigravity (for coding)

2. It's a phased rollout and Ultra got it first, Pro is coming later

The latter blog post is specifically "Argon in Antigravity" versus the other blog post is about Argon in general, so seems like #1 is more likely.

Yeah this is confusing, the announcement pages claim it's both, but the app itself claims it's ultra only... Maybe a slow rollout?

I'm a bit confused, all the announcements say that this is availabe to Ultra and Pro subscribers, but in antigravity, it's grayed out and says it's only available to Ultra.

Right, the better argument would've been to say that we should wait until the drug undergoes some early trials, rather than just "some expert looking at it".

It's exact same price as Sol 6.1 announced yesterday.

I guess if one of them hits singularity, it could in theory just wipe out all the rest, seeing how they keep escaping and hacking into other systems :)

> and google just started letting all their engineers use claude

That's misleading.

1. Having different models available is useful for A/B testing and helping improve Gemini itself.

2. They have an enterprise offering for Antigravity (their agentic coding platform), and they need to test that it works well with non-Gemini models too.

> late last year/early this year

That's an eternity when it comes to coding models.

In my personal experience, we've had almost a step change every ~3 months this year, at least for bigger one-shot tasks. For example looking at Gemini Flash 3.0 vs 3.5 vs 3.8, it went 5% -> 30% -> 75% on DeepSWE, all since the start of the year.

Right, in terms of hardware and price, I've always been tempted by the Meta Quest, but the ecosystem and the fact that it's locked down has always been the major blocker for me. It does suck that this more than twice as much (although some of it is obviously the current surge pricing), but for hardware that I own, it's well worth it.

Curious if there's any info about how much Foveated rendering helps performance roughly. Is it like 50% more frames?

From my experience, it's quite hit and miss for every app.

If you use Google 99% of the time and only check other apps when Google is wrong, then that's a biased experiments.

I disagree.

Similar to you, 95% of the time I do the simple use case that I've memorized. The problem is that even after a decade of using Git, when I get into those 5% where something goes wrong, I have no idea how to actually solve it. None of it makes any sense in my head, and I have to search for a bunch of magical commands to run, or nuke things to get back to a good state.

With JJ, it just makes sense. It's intuitive and clear. I have been able to recover without any help. Just the undo alone is basically a life saver. Rebasing and merge conflict resolution is so much simpler.

Yes I probably won't use it to its full potential, but still, the little I do use makes 10x more sense than Git ever did.

I don't understand why the fact that it's an Airbnb really matters here? Unless a large number of apartments are meant to be empty, why does it matter if the tenant is short term or long term? Is it that short term users leave and enter their apartment more often?