Productivity in large organizations has never been and can never be purely of the legible work which is written in Jira tickets, documented, expressed clearly, but is sustained by an illegible network of relationships between the workers and unwritten knowledge/practices. AI can only consume the work which is legible, but as more work gets pushed into this realm, the illegible relationships and expertise becomes fragmented and atrophies, which puts backpressure on the system's productivity as a whole. And reading said book, my guess that attempting to impose perfect legibility for the sake of AI tooling will ultimately prove disastrous.

I honestly think that size and age alone are sufficient to lead these tools into failure cases.

There are people I work with who are deep in the AI ecosystem and it's obvious what tools they're using It would not be uncharitable in any way to characterize their work as pure slop that doesn't work, buggy, untested adequately, etc.

The moment I start to feel behind I'll gladly start adopting agentic AI tools, but as things stand now, I'm not seeing any pressing need.

Comments like these make me feel like I'm being gaslit.

It might be just me but this reads as very tone deaf. From my perspective, CEOs are seething at the mouth to make as many developers redundant as possible, not being shy about this desire. (I don't see this at all as inevitable, but tech leaders have made their position clear)

Like, imagine the smugness of some 18th century "CEO" telling an artisan, despite the fact that he'l be resigned to working in horrific conditions at a factory, to not worry and think of all the mass produced consumer goods he may enjoy one day.

It's not at all a stretch of the imagination that current tech workers may be in a very precarious situation. All the slopware in the world wouldn't console them.

Either way, there are still completely legitimate reasons why one would want to code on their phone, with or without AI.

The problem isn’t using AI—it’s sounding like AI trying to impress a marketing department. That’s when you know the loop’s closed.

Like for example, what would happen if say 100s or 1000s of books were to be released about AI agents working in accounting departments where the AI is trying to make subtle romantic moves towards the human and ends with the the human and agent in a romantic relation which everyone finds completely normal. In this pseudo-genre things totally weird in our society would be written as completely normal. The LLM agent would do weird things like insert subtle problems to get the attention of the human and spark a romantic conversation.

Obviously there's no literary genre about LLM agents, but if such a genre was created and consumed, I wonder how would it affect things. Would it pollute the semantic space that we're currently using to try to control LLM outputs?

"They really cant run like a human," they say, "a human can traverse a city in complete silence, needing minimal walking room. Left unchecked, the transitions to cars would ruin our city. So lets be prudent when it comes to adopting this technology."

"I'll have none of that. Cars move faster than humans so that means they're better. We should do everything in our power to transition to this obviously superior technology. I mean, a car beat a human at the 100m sprint so bipedal mobility is obviously obsolete," the car maker replied.

If the goal is to get more than 50% usage statistics then yeah, you can say they lost, but are dev tools only valid/useful/viable if they have a majority of developers using them? I say they've had tremendous success being able to provide viable tools with literally zero corporate support and a much smaller user base.

  - it causes mass unemployment and social unrest
  - leads to a further concentration of wealth and increase in wealth inequality
  - it means I have to work more, produce more, all for the same wage or less
  - it's implementation leads to large societal harms such as increased isolation/loneliness
  - it ends up being overhyped causes a large economic crisis

Obviously the goal of these companies is to generate as much profit as possible as soon as possible. They will turn the tables eventually. The asymmetry will go in the opposite direction, maybe to the extend that one takes advantage of the current asymmetry.

Or are these costs just insignificant compared to inference?

Anki is already extremely extendable so I would think that with a not too much work deep LLM integration could be implemented in Anki. Like, instead of showing static content for a card, have Anki call an LLM to create the daily iteration of a given prompt.

For example, I use the Verb package for making HTTP requests. So with Emacs as my HTTP client, I can do bulk HTTP request calls with keyboard macros. The HTTP requests can be stored in org-mode. I can write custom Elisp for special authentication scenarios. I can create new commands if I need them.

For this example, I can imagine (haven't used this myself) scenarios like creating a keyboard macro to shave off the first X seconds of a video usable with dired.

Some non-text-editing things in Emacs that are actually extremely useful:

  - Git via Magit
  - Managing files with Dired
  - Media player with Emms
  - RSS feeds with elfeed
  and the list goes on and on...

Like for example, clearly you are a very experienced developer with a vast amount of experience. To say that the extent and reach to which you are able to apply technologies is because LLMs seems wrong; it's your rich technical background which allow you to use LLMs in an effective manner.

Cloud services get us from completely impossible to doable with a small amount of work. LLMs maybe save us the time of reading a tutorial or documentation.