Converted all the tabs to spaces? :-)

You are right, this is not a rewrite like the Bun case.

The real news is, at 50M LOC, it is able to handle and do _something_ coherent.

If it is a one-off task, it doesn't matter if you use GUI or Terminal commands to do it. But more than once, terminal starts paying off IMO.

Here are some advantages.

  - It is repeatable, you can do the same exact thing you did before. With ZSH history + FZF, recalling a command is a breeze.

  - Auditability. The command in your shell history is there for you to revisit and servers as a permanent record of something you did (or didn't do).

  - A command line doesn't make a mistake at 10th time, due to fatigue, inattention etc.

  - Reusability. You may have to repeat the same command for different folders (or remote servers). A slight modification of the previous command will do it for you.

Vimium extension does that. Works well too. Works on Chrome and Firefox.

try out surfingkeys if vimmium isnt ur cup of tea

I am currently trying something called ShortCat, this is not just for the browser but works in other Mac applications too!

Look Ma, No mouse !

I noticed that too. Unless you _ask_ for a script, they throw away the scripts they write.

They are particularly bad at complex multiline parsing. Writing all sorts of weird/crude python/awk scripts and getting confused in the process.

I wish they would use Perl6/Grammer or Haskell/Parsec or similar and write better parsing scripts.

For the non haskell folks like myself, what would that look like/ why is parsing better? Perl i get

Perl has powerful regular expressions, but it only goes so far. Doing multiline/nested structured parsing is too painful.

Perl6/Raku has built in grammers that can do that idiomatically.

If you have a couple minutes, give this a glance. It will give you an idea.

https://andrewshitov.com/2018/10/31/a-simple-parser-in-perl-...

I am no expert in haskell either. But parsec is similar in concept.

Does this abstract over the package management systems (apt, yum , apk etc.)? Or do we still have to write distro specific install commands?

What can I run on a M4 Pro with 48 GB or RAM?

A sparser model like Qwen3.6 35B A3B is probably your best choice: https://qwen.ai/blog?id=qwen3.6-35b-a3b

The 35B MOE will run faster, but 48GB RAM is more than enough to run the 27B dense model as well. It's just that token/s will be on the lower side.

That.

And I had to look down every time I had use it. I am glad to see it go.

Not just _wrong_. It is confused! It is actually right in the second sentence. This was Friday, Opus 4.6.

>I want to wash my car. The car wash is 50 meters away. Should I walk or drive?

Walk. It's 50 meters — you're going there to clean the car anyway, so drive it over if it needs washing, but if you're just dropping it off or it's a self-service place, walking is fine for that distance.

This is actually a good diagnostic of whether the model is skimping on the thinking loop. Try raising thinking effort and it should get it right. Of course, if you're running this in a coding harness with a whole lot of extraneous context, the model will be awfully confused as to what it should be thinking about.

To me Claude Opus 4.6 seems even more confused.

I want to wash my car. The car wash is 50 meters away. Should I walk or drive?

Walk. It's 50 meters — you're going there to clean the car anyway, so drive it over if it needs washing, but if you're just dropping it off or it's a self-service place, walking is fine for that distance.

Just asked Claude Code with Opus-4.6. The answer was short "Drive. You need a car at the car wash".

No surprises, works as expected.

Yeah, it was probably patched. It could reason novel problems only of you ask it to pay attention to some particular detail a.k.a. handholding..

Same would happen with the the sheep and the wolf and the cabbage puzzle. If you l formulated similarly, there is a wolf and a cabbage without mentioning the sheep, it would summon up the sheep into existence at a random step. It was patched shortly after.

I’m not sure ‘patched’ is the right word here. Are you suggesting they edited the LLM weights to fix cabbage transportation and car wash question answering?

Absolutely not my area of expertise but giving it a few examples of what should be the expected answer in a fine-tuning step seems like a reasonable thing and I would expect it would "fix" it as in less likely to fall into the trap.

At the same time, I wouldn't be surprised if some of these would be "patched" via simply prompt rewrite, e.g. for the strawberry one they might just recognize the question and add some clarifying sentence to your prompt (or the system prompt) before letting it go to the inference step?

But I'm just thinking out loud, don't take it too seriously.

Used patched for lack of a better word. Not sure how they fix the edge cases for these types of fixes/patches or whatever they’re specifically called

They might have further trained the model with these edgecases in the dataset

Whatever it was, that’s not real thinking, we can possibly patch all knowledge and even if we did, it would become crystallize somehow.

What if it’s raining though? Car wash wouldn’t be open though it would waste gas

>functionally useless skills

The dog would disagree! :-)

I admire your mother. She is a real hacker.