Valectar
If other people are dissatisfied with LLM output quality while it seems to work fine for you, you might want to consider that the quality of code you produce is closer to the quality of code the LLM produces than what those other people are producing.
What you posted there, for example, about most of changing code being busy work is a pretty big red flag for a codebase. One of those "large structure" things that you're supposed to be paying attention to is the architecture of the code. There's always the chance that some change you need to do goes against the grain of the solution you architected, and you need to make changes all across your codebase to fit it in, but in general the point of modularity and good architecture is that when you make a change you just have to make that one change, ideally just changing the logic of the one responsible function with only minor changes required anywhere else in the codebase. If you're consistently having to hunt throughout the code for related functions that you need to rewire that's a sign that your architecture does not fit with the direction your codebase is evolving, or alternatively that you don't have much of an architecture to begin with and your code is highly interconnected.
Actually one habit you mention at the end of that quote can worsen this issue: "searching for locations that benefit from extracting a common piece of code". Tautologically this is a good thing as you define it as only working on locations that will benefit, but given the frequent need for rewiring of functions I would hazard to guess that you've "deduplicated" code a bit overzealously. Just because two functions share some common code does not necessarily mean it is appropriate to pull that out into a function. Deduplicating is good if conceptually the code is a single thing that you would always want to keep in sync, as it means that when you need to make a change to it you don't have to hunt down all the places it's used. On the other hand, if you find yourself frequently needing to delve in to these functions to rework them because you need to make a change to how it's used by just one caller, your "deduplication" has added to your workload, and probably created some overcomplicated code in the function that is in reality handling multiple distinct needs.
I hope this doesn't come across as too condescending, and if I've just wasted your time explaining principles you already understand I apologize. I don't know you or the code you're working on so I can't exactly confidently judge your work solely on a few paragraphs. It's just that your mention of how your experience of coding has been different from what others have described, and specifically that, for you, writing has been the bottleneck rather than understanding, combined with the specific issues you describe facing, imply to me that you may not realize that the approach you are taking to producing code yourself may be significantly different from how other Software Engineers are producing code, and that may account for some of the differences you note in your personal experiences programming.
If you imagine any sphere beneath the event horizon which is centered on the singularity, that sphere is just as inescapable as the farthest such sphere which we call the event horizon.
Additionally, the event horizon is inescapable to everything. Even gravitation is transmitted at the speed of light, and cannot outrun the cascade of inwardly falling spacetime beneath the event horizon. So no possible change in the distribution of mass within a black hole could have any effect on the configuration of spacetime at the event horizon, or even on any spacetime further from the singularity than itself.
The true test of an AGI is it's ability to assimilate disparate information into a coherent world-view, which is effectively what the pretraining is doing. And even then, it is likely that any intelligence capable of doing that will need to be "preloaded" with assumptions about the world it will occupy, structurally. Similar to the regions of the brain which are adept at understanding spatial relationships, or language, or interpreting our senses, etc.
It is completely reasonable to test whether phenomenon that hold at low energies still hold at high energies, and that may be the only way you're going to find more fundamental physical laws. Especially when we know quantum theory is incomplete, since it is currently incompatible with general relativity.
Setting aside that the vulnerability doesn't actually allow that, isn't this potentially a Spectre / Meltdown vulnerability? This is an unprotected endpoint that conditionally executes code taken from user input. If the branch predictor can be trained to speculatively execute arbitrary code from the input, information could be extracted via endpoint timing using a similar methodology to Spectre or Meltdown, right?
There are cases when we want a machine learning model to do the same thing as the process which generate it's data, like in the case of model's learning to replicate physics simulations, but even then the entire point is for the machine learning model to accomplish the same or a similar result but in a more computationally efficient way.
You say that, and yet "At least ten studies have confirmed the benefit of universal masking in community level analyses"
https://www.cdc.gov/coronavirus/2019-ncov/science/science-br...
And the website goes on to list each of them, as well as a number of other studies relating to the effectiveness of masking.
There is also the limitation that there was "no assessment of whether masks could decrease disease transmission from mask wearers to others."
The article explicitly states "The findings, however, should not be used to conclude that a recommendation for everyone to wear masks in the community would not be effective in reducing SARS-CoV-2 infections, because the trial did not test the role of masks in source control of SARS-CoV-2 infection."
https://healthblog.uofmhealth.org/wellness-prevention/mask-r...
On top of that they state: "Although the difference observed was not statistically significant, the 95% CIs are compatible with a 46% reduction to a 23% increase in infection."
Which sounds like their saying they can say with 95% confidence that there is between a 46% reduction and a 21% increases, which sounds pretty damn inconclusive to me.
Also if you would like some more up to date information, as well as a larger number of studied, which are specific to COVID, the CDC website has a lot of information here:
https://www.cdc.gov/coronavirus/2019-ncov/science/science-br...
If you want to know what the WHO recommends, you need only look at their website:
https://www.who.int/emergencies/diseases/novel-coronavirus-2...
"Make wearing a mask a normal part of being around other people. The appropriate use, storage and cleaning or disposal of masks are essential to make them as effective as possible."
https://www.cdc.gov/coronavirus/2019-ncov/science/science-br...