It's a product of the times. You have some folks who are really passionate about the craft of software, some folks to whom it's just a job, and an entire culture that promotes and incentivizes engagement through raw emotional connection (outrage, passion, pick an emotion).
What you don't see from most perspectives are the silent masses who simply don't engage, don't care about the discussion, and/or are too busy doing what they enjoy.
I think too many people (very much including me) who are "passionate about the craft of software" allowed themselves to become too focused on the code itself as if that were the first order concern of the craft. But the craft has always been about the quality of the software, including how its quality changes as a function of time and adaptation. Code quality is only in support of that concern, it is not itself the primary concern.
It has been a fairly painful experience for me to shift my thinking on this, but it's a much better mindset. I still care about many of the same code quality concerns I always have, but I'm thinking a lot more about why I care than I once did.
Consider a world with one person in it. That person defines the jobs to be done. As soon as that person is disabled for one reason or another and is dying due to lack of care, there are by definition more jobs to be done than people to do them. "Businesses" and "institutes" are just constructs that exist to summarize those needs at scale.
> The universe imposes strict limits on the math that can exist within it, and certain broader limits on the math the creatures and well-organized sand within the universe can conceive of in the first place, whether or not it can maybe exist in other universes.
When you have a moment, please reference some proofs supporting this.
There are lots of thoughts you’re not biologically capable of thinking. That means the list of thoughts you’re capable of thinking is finite. That means the amount of math you’re capable of discovering, even if you lived forever, is finite.
That’s true of all humans and all constructs.
So however much math there is to discover, that’s the finite subset you’ll ever have access to.
It’s hard to prove what thoughts no human and no construct is capable of generating, but surely there are some, and it’s possible or even likely some of those are math-related.
Even if we accept that there are "lots of thoughts" we're not capable of thinking (though I wonder how you would define a thought if not as something that you can think), it still does not follow that the "amount of math" (as if it's a definite quantity) that one could discover is necessarily finite, if you lived forever.
By analogy, the "amount of math" we can possibly discover could still be countably infinite even if the space of all possible thoughts would be uncountably infinite. Countably infinite is still plenty big, and it is certainly not finite.
To put what I said another way, math may be infinite in principle, but the creatures in our universe can only conceive of or perceive so much of it: a finite amount.
We (or our constructs) can plausibly mine all there is and then there's no more that's physically possible for us or our constructs to mine within the universe in which we exist.
If an ant can't conceive of or perceive trigonometry that doesn't mean trigonometry doesn't exist. But if neither an ant nor a human nor any creature or construct or technology inside the current universe, now or ever, can conceive of or perceive trigonometry, then we might as well call it non-existent. It may exist: but we'd literally never know it and neither would our constructs or space aliens or inter-dimensional aliens, or their constructs, etc.
Say that there's a level of mathematics at which a blerg is a zorg, but our universe includes neither blergs nor zorgs and no intelligences in our universe can conceive of blergs/zorgs because that would require having evolved outside our universe... in that case we can consider our universe's mathematics solved without it needing to work down to the blerg and zorg level.
The natural numbers are countably infinite. For each n ∈ ℕ, there is a proof by reflexivity that n = n. Hence there are countably infinitely many such proofs, one for each natural number.
I didn’t demand anything. I requested some proofs since this thread is quite literally about a claim that requires proofs. As evidenced by the further comments in the thread. If you disapprove of the conversation, please feel free to use the tools and move on. No hard feelings!
I saw some tests on it and it’s kind of a whatever feature. The iPhone depth of field is still far too deep even wide open. So the difference stopped down is kind of meaningless.
Most users will never use it, or I should say adjust the aperture, most people appear to be more interested in the video performance, and the video performance depends upon having very good software and hardware combined as one which is where Apple is able to outdo the competition, with Apple Silicon/video software, Apple appears to only care about still pictures up to a certain point, over the last five or six years. In short video is king in today’s YouTube age.
> Most users will never use it, or I should say adjust the aperture
This is like saying most users will never adjust the shutter speed. Of course they won't, because the software automatically adjusts it, just like it does on any traditional camera. For the aperture capable lens, the software adjusts the aperture automatically depending upon light and/or depth of field requirements of a scene.
And yes, photographs are still spectacularly important.
But...I don't get it regardless. You know that video also uses apertures on every such equipped device, right? Better depth of field if the environment allows it is a good thing.
> Apple appears to only care about still pictures up to a certain point
I feel like people are just saying silly bullshit now. Apple has made video a core part of their product reveals for years now. And current iPhones take outrageously good videos.
Not sure it benefits the hiring company when they are artificially reducing the pool of applicants to only people who don't already have jobs.
Not that there's shame in not having a job, especially in today's market (shit happens, I'm sure lots of very qualified people are currently looking), but there are solid statistical reasons why social proof of already being employed is seen as a positive.
Net benefits perhaps. It absolutely lets the hiring company get more information by increasing the amount of time spent by the candidate before a commitment occurs.
I think your point on “cutting down on words”, so to speak, is relative to personal writing style. I find that AI tends to write far more words than I personally do, which is sometimes useful, but in the opposite direction that it works for you.
Okay I just tested 3.8 Flash (High) on some real world problems I have used Opus (High) and Sol (high) to solve. The outcome here is terrible.
One of the problems is local zoning laws regarding an expansion of my house. Comparison of annex vs extension, boundaries, precedent, costs, etc.
3.8 Flash didn't check most of the required zoning laws. It relied on parametric knowledge, which is outdated and inaccurate. It checked zero precedents. It did made a very cursory check of the boundary area, but didn't validate it, so it missed a lot of important nuance and exceptions to the boundary. Its cost estimates were wildly inaccurate. Ostensibly because it was inferring an average based on historical pricing data rather than gathering current info.
I could go on, but if I had to judge this attempt I would give it a 3/10. It's very fast, but wildly inaccurate. It's clear that the model is designed for speed over accuracy.
This has been a useful exercise. It's important to understand the developments taking place. I am disappointed to see that Google has made very little progress in six months relative to the frontier labs.
I used [AI Studio.](https://aistudio.google.com/) It's possible the same issues are present there, but AI Studio is intended for serious work. I don't see why they would intentionally hobble the model's capabilities in AI Studio.
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