This is an interesting topic. We treat vetting output the same as doing the work ourselves, but that is not the case.

Doing the work is not the same as reviewing work done by others.

I have heard reports of software engineering companies that have gone full agentic. Their seniors only review stuff written by LLMs and it burns them out, because they have to switch context constantly.

I find this interesting because part of being a senior developer is that you are experienced enough that you won‘t make grave mistakes anymore. This is the case in many professions: you are relied upon to not make grave mistakes.

But those same people are now swamped with stuff that they are not able to review, so they will let a grave mistake slip through at some point.

So they really can‘t trust themselves anymore?

What if „being effective at something with pattern matching but not understanding it“ just means that you have identified only 90% of patterns and keep failing to learn the rest for whatever reason.

> „But pattern‑matching is not system understanding, and plausibility is not correctness.“

Why not? Who says that? Who proved that system understanding is not just more complex pattern matching?

> „LLMs predict tokens, not consequences“

Same here. LLMs output tokens but who says that they don’t form some internal group of token-predicting tensors that move together and constitute the internal model of a „consequence“? It is like saying humans don’t have thoughts, they just have electrical impulses moving their tongues.

I too think that LLMs seem to be a very specific form of intelligence, maybe resembling the parts of our brain that do language-processing, but it is a fact that they at least fake intelligence very convincingly. And that we actually don’t know how they do it.

Comments URL: https://news.ycombinator.com/item?id=48065656

Points: 2

# Comments: 0

examples:

- if I change a note on my iphone and wake up my mac, I need to restart the notes-app before it syncs the change.

- if somebody leaves me a FaceTime video-message, I get an "unread"-badge that doesn't get away after I watch the video. There are multiple ways to get to that video and only one of them clears the "unread" badge.

- if I add a pronounciation field to a contact in my iphone, SIRI stops working and I need to restart my iphone to get it back.

I am truly fit, but … I still don’t feel like exercising.

Most of the time it’s like brushing my teeth, it is just something I do because it is right.

Every travel guide tells you to not accept home-distilled drinks, since they can be poisonous.

With databases there exists a clear boundary, the query planner, which accepts well defined input: the SQL-grammar that separates data (fields, literals) from control (keywords).

There is no such boundary within an LLM.

There might even be, since LLMs seem to form adhoc-programs, but we have no way of proving or seeing it.

But this combination of data and control into a single, flexible data stream is also the defining strength of a LLM, so it can’t be taken away without also taking away the benefits.

Comments URL: https://news.ycombinator.com/item?id=47665512

Points: 3

# Comments: 0

You forget the larger problem less wealthy individuals face: They typically already own a ICE-car and can‘t afford to purchase a new car multiple times in their lives.

In India, illegal sand mining is the country's largest organized criminal activity.

https://en.wikipedia.org/wiki/Sand_theft

https://en.wikipedia.org/wiki/Illegal_sand_trade

            #!/usr/bin/env bash
            set -eEuo pipefail
            # shellcheck disable=SC2034
            DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
            #######################################################