104 karma · joined May 5, 2020
That said, I do genuinely enjoy brainstorming with it, and these quirks are not really a hindrance. If anything, the sentiment in the first paragraph is quite useful to quickly get an insight about where I stand with my thoughts, relative to the available knowledge that Gemini has access to.
I suspect the problem will solve itself though eventually, as the threat level of bad security practices has risen now, so companies have incentive to throw money at the problem for risk management, and LLMs may just as well assist with detecting potential exploits during the design phase. Thinking of it this way, I believe that security will actually improve a lot in the near future.
The only thing here is that there generally is a fairly robust social net ready to catch you if you do, as you mention. But my honest opinion is that this is not a solution, it's a bandaid for the real problem: why do people feel like they have to work themselves into the ground in order to be able to live?
You are right though, many here including myself cannot imagine living in those circumstances in other continents. I think that is another problem in itself, that people are becoming complacent here due to the low risk. That might even be part of the reason why people are so careless with their work-life balance, because they can't really lose it all like in other places, so maybe people stop paying attention to things that are actually important. Just guessing.
I agree with your last point though, and you can turn it into a more general statement: some people or companies use automation to do more, and others use it to do less. There's probably a reason for it, among others most likely deprivation. People and companies are getting pushed to 11, and take shortcuts.
There are many other little examples like this, where beneficial side-effects go lost from automation. I suppose LLMs serve as a prime example of how this can affect people quite negatively (e.g. skill atrophy), if not careful. I think adaptation only goes so far, and we are being arrogant in thinking that we can adapt to everything, because a large part of how we function as humans is not as adaptable as we think, e.g. our emotional and instinctual needs, or how we maintain skills that are essential in the long-term.
It also has been an incredibly short period with incredibly large changes, to be able to say that things will just adapt; perhaps they will, but at what cost, and who wins from it?
So it almost seems like a situation where you cannot really have your cake and eat it, at least not in the way it currently works.
Personally I've been very hesitant to deep-dive into putting together the perfect AI-workflow, I've been sticking to just using the conversational/chat modality for pretty much everything, usually that gets me as far as I need. It's just really hard to justify spending time on it when it all potentially gets turned upside down next month again.
You can use AI like a telescope, and alleviate your inherent organizational problems or other ailments, which in my opinion is a great use case, as it is empowering. But there will also be plenty of people who are not looking to alleviate any mental/physical quirks they have to do more, but simply want to make a "quick buck" for the least possible effort from the work and thinking of others, without adding much value of their own. Lowering the bar makes things easier for both, the ones who bring value and the ones who merely exploit in some context.
But some advice is less specific than other advice though. Some things are always stupid, and some things are always smart, if you look at the context of our world and society. I find myself pursuing these "fundamental truths" with great interest lately, especially now that the world is changing so quickly.
Bad eye sight is a good one, but I don't think it explains the popularity of large screens fully, are there really so many with bad eye sight to the point that they need a larger screen?
My hope is that Unihertz ends up making a phone that I like enough, they seem to be pretty much the only ones making smaller phones. Their current offering doesn't really speak to me yet, but they're making quick progress.
I'm curious what people need the huge screens for on phones? Is it mostly for watching videos?
In reality however, many people whom I know who built a game engine did it for a plethora of different additional reasons:
- Learning C++, OpenGL, and other tech
- Similarly, learning a new language
- Learning how a game engine works, by building one, and perhaps a better one afterwards, or for developing skills to work on existing engines
- Just because it is fun and you get a high from it
- Building an environment tailored to how they would like to build a game, e.g. because existing engines don't cut it in that regard. Basically building your own tool(s).
- Building tools for others, so that they can build cool things, because you get satisfaction from that.
- Building a new engine because existing large engines have gone stale for some reason (an attempt at becoming the next big engine that structurally solves the tech debt problems that the status quo ones developed over time)
- Similarly, building an engine that has a new paradigm as first-class citizen, e.g. ECS
- A combination of any of these.
I had a similar mindset in the past, not understanding why anyone would like to build their own engine and not a game, because it happened very often and I was the one who liked to build games. Now I do see that there's more to it than just the product it is supposed to create. I learned that when I got into tool development, and noticing that I got a lot of satisfaction from building tools that other people can use well.
I will go as far as to say that assortative mating is likely a side-effect of people ending up in the same or similar socioeconomic circles, but that is just me reaching. In reality I would guess that it's a bit of that, and being used to people from a certain "class".
The reason why height is so important, is because it serves as a proxy for strength, potential for dominance, and protective capacity. Women feel safe from the world and other men, when they are with a tall man (assuming they also feel safe from him). The circular effect of this is that tall men are seen as a successful archetype from all the attention and resources they get, which inflates their true sexual value. Probably social media and internet has a big hand in this too.
There are plenty of instances that show that in reality this is not what happens, and in fact this is often a necessary step of reinventing yourself if things really aren't working for you. The mid-life crisis is a famous example of this, or even the quarter-life crisis. In some specific psychological circles this is referred to as "disintegration". Sometimes carefully backtracking is simply not enough, and growth needs this kind large shock to the system.
The real challenge lies in properly tuning the strength of this filter, being deliberate with it and knowing what can be said, and what cannot be said. The people who act like robots err on the side of extreme caution, and are unwilling to invest time and effort into tuning and developing this filter. They also don't realize that this makes it impossible to connect with people, to their own demise.
I think there is some nuance though, but it's hard to articulate. I think that is because there are some long term effects that are currently invisible, but that can be anticipated. A lot of it is the human factor, and how changes to how people think and act may ripple through the organizations as well.
Things such as skill atrophy which may reduce not only immediate skills, but also adjacent skills that were maybe important for critical thinking and making good decisions. Or the fact that learning to use an LLM is a skill that is not truly grounded in reality and can therefore not translate well to other areas (you're essentially learning skills within the "reality" of the LLM, based on its weights). That is very different from machine code --> tools, where the tools make explicit assumptions that are based on the workings of the machine code (which is analytical in nature), and where you can, if you wish to, jump in to override those assumptions where needed without having to adapt to a mental model that operates in its own reality (i.e. the LLM's "thought process").
Not to say that knowing this difference has no merit, just saying that it has limits to how much it can do. After all, reality can also hit the brain, when it gets flooded by hormones and neurotransmitters that take away your rational thinking.