AI is stifling new tech adoption?
351–360 of 442 posts
Re: AI is stifling new tech adoption?
#352Earlier quoted context omitted.
It sounds like you're thinking purely about the speed of a skilled typist. Alternative keyboard layouts offer a tangible ergonomic benefit even at lower WPM counts, and can have a lower hunt-and-peck time for novices by clustering frequently-used letters together. (This last effect is particularly pronounced on small touch screens, where the seek time is non-trivial and the buttons are much too close together for any…
I remember reaching a really high speed on the keyboard of the original iPod Touch. It actually did feel like touch typing - I didn't really have to look at the on-screen keyboard. I can't pin down exactly what's been missing from newer keyboard apps. Something about the ergonomics and UI came together just right.
Re: AI is stifling new tech adoption?
#353No, AI isn't. Any new tech, or version upgrade, or whatever, takes time for people to become familiar with it. You might as well say "Stack Overflow is stifling new tech adoption" because brand-new stuff doesn't have many Q's and A's yet. But that would be a silly thing to say. I'm not going to adopt a brand-new database regardless of LLM training data cutoff, just because enough people haven't had enough experience…
Strong disagree here. I've been trying to learn Zig, and I'm thwarted enough by chatgpt giving me outdated information on Zig's unstable API that if I didn't have a strong incentive to learn it for it's cross compiler, I'd likely turn my efforts towards another language. This effect can greatly alter the adoption curve of a new tech, which can leave it dying on the vine. You're not wrong though, in that Stack Overflo…
Re: AI is stifling new tech adoption?
#354Re: AI is stifling new tech adoption?
#355>Consider a developer working with a cutting-edge JavaScript framework released just months ago. When they turn to AI coding assistants for help, they find these tools unable to provide meaningful guidance because their training data predates the framework’s release. [... This] incentivises them to use something [older]. That sounds great to me, actually. A world where e.g. Django and React are considered as obvious…
I’m all for boring technologies but can we please at least use compiled languages with types
Re: AI is stifling new tech adoption?
#356Re: AI is stifling new tech adoption?
#357>Consider a developer working with a cutting-edge JavaScript framework released just months ago. When they turn to AI coding assistants for help, they find these tools unable to provide meaningful guidance because their training data predates the framework’s release. [... This] incentivises them to use something [older]. That sounds great to me, actually. A world where e.g. Django and React are considered as obvious…
Re: AI is stifling new tech adoption?
#358I don’t like that this conclusion seems to be that if humans adopt every new technology before AI can train on it that their jobs will be more secure. That is its own kind of hell.
> I don’t like that this conclusion seems to be that if humans adopt every new technology before AI can train on it that their jobs will be more secure. That is its own kind of hell. It's the hell we'll be forced into. The powers that be care not one whit for our well being or comfort. We have to duck and weave (or get smashed), while they "creatively" destroy.
Re: AI is stifling new tech adoption?
#359Earlier quoted context omitted.
Strong disagree here. I've been trying to learn Zig, and I'm thwarted enough by chatgpt giving me outdated information on Zig's unstable API that if I didn't have a strong incentive to learn it for it's cross compiler, I'd likely turn my efforts towards another language. This effect can greatly alter the adoption curve of a new tech, which can leave it dying on the vine. You're not wrong though, in that Stack Overflo…
Imagine a world without ChatGPT or Stack Overflow. Is it easier to build your Zig project in that world?
However, it's naive to deny that people are driven to technology with large amounts of samples and documentation. When trained on it, LLMs can essentially create infinite, customized versions of these.
LLMs artificially inflate the amount of documentation and samples for older technologies, and many lack the knowledge of newer ones. This creates a feedback loop until the newer technology is included, but the damage has already been done.
That's just a perspective, I don't know that I fully agree with the premise, and certainly don't know a solution. The best solution I can think of is more LLMs that are essentially constantly RAGing from the internet, rather than mostly using pre-trained info. Obviously this part is no longer just the model, but I imagine models could be made to make the RAG process more efficient, or better.
Re: AI is stifling new tech adoption?
#360Guess I figured out my niche as a SWE: have a later knowledge cutoff date than LLMs