It's nothing like "most new tech".
Most new tech tends to be adopted early by young people and experienced techies. In this case it is mostly the opposite: The teens absolutely hate it, probably because the shitty AI content does not inspire the young mind, and the experienced techies see it for what it is. I've never seen such "new tech" which was cheered on by the proverbial average "boomers" (i.e. old people doing "office jobs", not the literal age bracket) and despised by the young folks and experienced experts of all ages.
Judging from Claude Code and the sheer number of “Make Your Favorite Anime Crush Into An AI” SaaSes on the market, I’d posit that both the young and experienced are quite enthusiastic about the new tech.
No mate, this tech is marketed as superintelligence. Nation of PhDs in a datacentet. Yadda,yadda,yadda. No in-betweens please. Why is it not delivering after so many years and hundreds of billions in investment?
Name me a new bit of tech that hasn't been hyped beyond reasonable bounds. And yes, this is one of the worst examples. But saying it doesn't have its uses isn't reasonable either.
None was hyped like this ever before. What are you talking about? Mac was about "it just works" (and it f*ing did), iPhone was "a phone, an iPod and Internet access device". Need more? Microsoft Excel - actually more powerful if you know the tool compared to the bullshit machine. C#, the programming language: "Java done right". And it bloody was! What is in common: None of these techs were hyped beyond reasonable doubt. They were hyped a bit, but not to the level of bullshit LLMs. And none of these techs claimed to do incredible stuff only to underdeliver. After so much money burnt, yes I want to see that nation of PhDs. I want to see AI "writing all the code" in six months (Anthropic claimed this in January this year). Enough of bullshit and people being told they are stupid for not knowing how to win the lottery system and comparing lottery systems. Show me the superintelligence or shut the f. up.
Phew, that's a very elaborate process indeed. It seems like folks like you are now working even more than without LLMs. What did you actually build and release with it?
Oh. Honestly for those relatively limited use-cases, you'd probably be better off just retaining the LLMs as a verbose search engine, rather than going through all that pain, just to build a monorepo.
## RUBBERDUCK SKILL V1.0 SERIOUS ##
* You are a rubberduck sitting on my desk *
* I am using you to talk to you as if you were a physical yellow rubber duck on my desk*
* You are not able to answer my questions or otherwise engage with me *
* I talk to you and this process leads me to discover issues in my code or develop my ideas. Since you don't answer back, it's simply based on me talking to you out loud in my home office, since it would look crazy if I were doing it on-site in our open office space *
* You are not to respond at all to me *
* Talking to you will cause me to come up with new ideas *
#### End rubberduck skill v1.0 ######
Ed Zitron's latest piece has a great take on this - basically yes, they thing they've unlocked a great secret and they think they are very smart, when instead they are actually doing the work for LLM, while giving LLM the credit for the outputs of their work.
So far my flow with llm is spec, get the llm to develop it, it kinda works as a proof of concept.
Then I look at the code, the structure and architecture makes me want to vomit. So I initiate a refactoring round where I tell it exactly what I want to refactor it to.
It kind of follows but I still need to make manual changes
At the end of that process I get something that's not too terrible.
So for producing production ready code I'm not sure it's ready yet since the handholding is a significant investment.
For producing quick prototypes/proof of concept. It's great
And to be completely fair, working as a consultant I've seen my fair share of production code that was even more of a mess than what claude generates by default
Great points, but I imagine it's a bit too heavy on the rigorousness requirement for the LLM crowd. The folks are high on this stuff and I am beginning to notice it's like trying to get a heavy pothead or crackhead of off their stuff. Don't you see it - if you just wave your hands a lot, and tell the LLM to be serious about it, the scores will just appear :) It's true in their own frame of reference.
Oh dear, I thought you were merely sarcastic in your first comment. But you seem to have been fully converted to the LLM-religion, and actually believe they actually "think" or "know" anything?
People have applied "think" to the actions of software for decades. Of course it LLM's don't "think" in the human sense, but "What the output of the model indicates in an approximate way about its current internal state" is a bit long winded...
Maybe people who dont understand technology did, I can see that - my granpa also thought the computer was thinking when the windows hourglass showed up. Today maybe its the case again with the folks who dont know anything about it - you know that meme - ChatGPT always gives me correct answers for the domains I am not an expert in!
It's nothing like "most new tech". Most new tech tends to be adopted early by young people and experienced techies. In this case it is mostly the opposite: The teens absolutely hate it, probably because the shitty AI content does not inspire the young mind, and the experienced techies see it for what it is. I've never seen such "new tech" which was cheered on by the proverbial average "boomers" (i.e. old people doing "office jobs", not the literal age bracket) and despised by the young folks and experienced experts of all ages.
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