Kiro

Most people played MUDs for the grind. Levels and loot. They care about the story as much as you care about it in Path of Exile.

Pointless nitpicking that completely missed my point. Software developers are not the hardest to replace, so your presumption that everything else should be easier is wrong.

Code is the killer app for LLMs so software developers are the easiest to replace.

Yes, a lot of commenters here (and the author) outing themselves.

Yes, it's demoralizing for a human. Which is why it's good for an LLM. They have no problem implementing these soul crushing workarounds.

I agree. These are classic problems where LLMs really shine. I would be very surprised if GPT-5.6 couldn't fix them.

Attention economy is a red herring. HN shows that you don't need to do much to be more addictive than TikTok. It's human nature.

I really don't understand what Andrew Kelly hopes to achieve here. Even the non-programmers at r/programming who usually piles on any type of anti-AI posts called it out.

I'm trying to not let this affect my thoughts about Zig as a language but it's hard.

Nice opinion but it's clearly a spectrum and not binary. Is assembling machine-made components by hand to make a watch hand-made?

You thinking this is an epiphany makes me feel you severely overlook the impact AI already has on the world, affecting everyone. This seems very minor in comparison.

For people thinking it detected the decoy text. It did not. It was the text I entered myself. Here are the thinking steps:

  Inspected video metadata, extracted frames, and analyzed content
  Detected and analyzed periodicity in stereogram image data
  Blurred, downsampled, and analyzed image frames
  Computed frame pixel shifts and cross-correlation
  Checked OpenCV installation, optimized and analyzed optical flow processing
  Analyzed motion for text
  Estimated vertical displacement and processed image flow
  Refined text extraction
  Processed optical flow and analyzed image

The text I had written in the message. Just some random stuff.

The chat contains the video, which may reveal som meta data about me. But the shared chat also doesn't include any of the images in the thinking steps that my original chat has, where you can see the different maps it generated. Pretty cool seeing it go from noise to patterns to the final image which clearly shows the text as black on white.

GPT-5.6 had no problem seeing the text when giving it a video recording of it.

"No problem" as in using temporal analysis with optical flow and vertical-displacement maps to estimate how the image moved, and combine those into a motion map with increased contrast to see the text. I didn't give it any instructions though, just asked it what it said.

Ask it to generate a completely bananas game idea and it will easily do it. Prototyping any type of game with simple graphics has been solved since many generations of models back. Claiming it's because it has that game in its training data is nonsense.

Won't using it eat up the whole quota immediately forcing you to pay API prices anyway?

Why are you directing the question at me? Obnoxious behavior, and your initial "gotcha" is just nonsense on a similar level as "why don't AI companies just clone all SaaS if the models are so good".

Picking 2012 feels arbitrary to fit the author's thesis and age. I don't see much difference between 2012 and now. Late 90s and now feel like two different worlds though.

They have consistently been proven right. The only thing failing has been the plateau claimers. If anything, it has improved much faster than the optimistic predictions.

LLM versioning is entirely feelings driven. The ideal versioning is probably just names.

I think this kind of "hard work" is a perfect fit for AI, and something where the complexity for a human is incorrectly extrapolated to LLMs.

Tirelessly wading through heaps of specifications and documentation with very clear goal definitions is hard for a human but easy for an AI. Meanwhile, taking UX and edge cases into account in a business application is easy for a human but hard for an AI.

The OpenAI moderation endpoint is free and it doesn't count toward the usage limit.

Not the gotcha you think it is considering how common fake loaders are in all application development. They're inserted for a reason, but that's a different topic. We're talking about pure animations here, not loading screens.

Setting animations to 0x is famously broken on Android with the UI jumping up and down on transitions. It's a litmus test to spot people falsely claiming they have it disabled without realizing it outs them.

Finally someone not roleplaying. You're the first person who acknowledges the flakiness of the dev options. People are self-reporting when they claim they set it to 0x without realizing it's unusable due to the bugs.

Most people with that opinion keep using apps and devices with animations, but thinking it would be better without them. Very few actually torture themselves like that in practice.

Which the majority of people think is a horrible experience. There's even a sibling comment in this thread pointing that out: https://news.ycombinator.com/item?id=48518721

Play any game with good UI and you will see animations used everywhere. Instant transitions are only good in theory.

That was not my point. Maybe we interpret "can't do their job" differently. That said, outside of HN I don't know anyone writing code by hand anymore except people that can't use it due to compliance or work on PLC stuff.

Everyone agrees AI can't do their job, so it ends up doing everyone else's.

In real life I haven't met a single programmer who doesn't think AI can do their job.

If someone would actually say that I would immediately think they have hubris and overestimate their skills.