wiremine

> "you must write the code."

Maybe? I think _understanding_ code is the ultimately goal, so that you can direct the effort of AI (and humans).

There's an assumption that writing code is the only way to truly understand it. That may be true... but maybe not. I think writing code is still part of the journey, but it might be a lot less writing and a lot more reading.

Either way, I think there's a bias of us gray hairs we need check at the door.

It's the personal blog for a well-known Rubyist (i.e., a person who programs in the Ruby programming language). Rubyists teld to be a bit more colorful than your typical software developer (in a good way... most of the time).

Agreed. I really like Embassy, and the write up is a fun read. But, this isn't what "real" embedded software looks like.

This is the most succinct summary of my interactions with Claude: thank you!

I feel like they need high school English teachers in the loop on the next ground of training to whip the language in shape.

Personally I'm excited about these sorts of experiments. We all learn in different ways, and these sorts of techniques allow us to create "on-demand" syllabuses and lessons that fit our learning style and learning level.

It's not perfect, but I'm optimistic this will be a useful way to teach/learn in the future.

And, to be clear, I think this will be best utilized within a group/community setting. I don't think it will replace teachers or classrooms.

> Nvidia selling more GPU's at the cost of it's datacenter business is pretty close to Kodak selling digital cameras at the cost of film.

This assumes a) AI is a zero-sum game, and b) we're actually talking about on-prem AI will replace cloud-based AI. I think neither statements are true.

AI is like compute: we'll need all sorts of it, in various sizes, everywhere. I'm sure Nvidia whats to own all the workloads.

On the other hand, I do think open weight, like open source, will win in general.

It might feel interesting, but it's sort of the crux of the issue. Average or below average prompts will produce average below-average results. The model can't make up for that.

Not saying every problem can or should be solved but AI, but mastery of the tools is kind of important when evaluating the tools. It's like complaining that vi or emacs is slow to use because of the bindings are complicated.

It's a good write up, but it's lacking some details, the most important one is: which Claude model was used?

The second issue is: what was tooling and the prompt approach?

(To be clear, I have no problem with the premise of the write up. But without some details like this, it's sort of like saying "I had a bad board on my deck, and my tape measure wasn't able to help me remove the nails. What a bad tape measure."

> Music is about connecting to human emotions, not poor facsimiles of it

"art is in the eye of the beholder."

I listen to a lot of EDM, which can be very mechanical, but I personally have strong emotional connection to. I personally would welcome AI-generated music as an alternative to human-made.

To be clear: I do agree a "human-verified" system would be great, but I don't think it would be black and white. And I would guess that eventually AI music will be better than a lot of human made music.

I ran a fairly large experiment last week, and the token usage wasn't bad at all. What softs of use cases are you seeing large token usage by GLM 5.2?

Nice! What are some hardware platforms that leverage these models?

This looks really interesting... I think I grok the basic value prop.

However, I'm confused on the open source vs. commercial offerings. How do they differ? How do they work together?

This is great advice, and I appreciate the opening sentence to frame it as a "yes, and" sort of situation. We took our teenagers to London and Paris last year (we're from the upper midwest in the states) and it was a joy to see them experience a) a different culture and b) art and architecture they never would have experienced otherwise.

But visiting local destinations is also such a joy. I'm a mile from one of the best BBQ joints in Michigan, in a "blink and you miss it" village. I try and make sure I don't take it for granted.