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wiremine
searching Neon…
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wiremine
14d ago
Agreed. I really like Embassy, and the write up is a fun read. But, this isn't what "real" embedded software looks like.
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wiremine
1mo ago
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.
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wiremine
1mo ago
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&#
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wiremine
2mo ago
> 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 A
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wiremine
3mo ago
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
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wiremine
3mo ago
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 wr
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wiremine
3mo ago
> 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 perso
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wiremine
3mo ago
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?
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wiremine
3mo ago
I've been using GLM 5.2 extensively for the last few days. It is slower, and the lack of multimodality is a bummer. But, it produces solid results for a fraction of the price. Worth checking out if you have the time. One of my goto &qu
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wiremine
3mo ago
Nice! What are some hardware platforms that leverage these models?
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wiremine
3mo ago
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?
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wiremine
3mo ago
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 s
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wiremine
4mo ago
Oh thank you, I came here to make that joke. Great show.
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wiremine
4mo ago
I'm not sure, but it might be recursive: above-average managers can tell the difference, and so we won't need as many below-average managers. But this requires above-average leadership, and the market will need to reward those org
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wiremine
4mo ago
> You know, I hate that this is a world where I have to ask myself if this is LLM written because it is one of those patterns. Lol, nope, I just sound that way. :-)
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wiremine
4mo ago
> then what can we expect from AI steered by the sort of humans that produced poor quality code. Great point, and I think that's my argument: above-average engineers can now produce more above average code. We don't need as man
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wiremine
4mo ago
> The code they [LLMs] produce is often fine. It works. It passes tests. It might ship as-is. I don't disagree, but I've been thinking about this a bit: a lot of _human_ written code was/is less-than-fine. And a lot of hum
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wiremine
5mo ago
I totally agree: This feels like Claude Code created it. It's the new, AI version of "It was clearly built with Bootstrap" As a cheese lover, I don't care too much. :-)
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wiremine
5mo ago
My first computer was a 486sx 25Mhz [1] The rig (tower, monitor, etc.) cost around $3,000. We got the SX instead of the DX because it was $500 cheaper. And I wanted a 16bit sound card. (Note that this is in 1992 dollars. Today it would cost
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wiremine
6mo ago
Oh, man, does that bring back the memories! Thanks for sharing. :-)
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wiremine
7mo ago
This. My daughter is a high-school junior, and she's been asking for a laptop going into her senior year/college. This is exactly who Apple is going after.
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wiremine
7mo ago
That it has no fans or the fans are annoying?
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wiremine
8mo ago
I like the creativity, but I'm not sure it's needed. I've been building a large-scale database system using Opus 4.5, and targeting Rust. It's not perfect, but the Rust compiler is so helpful that Opus has solved a lot o
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wiremine
11mo ago
This is pretty close. I once spent 4 hours in college (circa 1997) looking for an error in a C++ program. The compiler's error messages were rubbish. It ended up being a missing semicolon in an odd spot and the compiler was just confus
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wiremine
1y ago
That's a good analogy. To clarify my question: Based on my experience (I'm a VP for a software department), LLMs can be useful to help a team build a theory. It isn't, in and of itself, enough to build that theory: that requi
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wiremine
1y ago
> I suspect that there is a strong correlation between programmers who don't think that there needs to be a model/theory, and those who are reporting that LLMs are speeding them up. I also strongly agree with Lamport, but I
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wiremine
1y ago
> The problem domain and programming language(s) used for a particular project may have a large impact on how effective the AI can be. 100%. Again, if we only focus on things like context windows, we're missing the important details
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wiremine
1y ago
> Having spent a couple of weeks on Claude Code recently, I arrived to the conclusion that the net value for me from agentic AI is actually negative. > For me it’s meant a huge increase in productivity, at least 3X. How do we reconcil
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wiremine
1y ago
Another useful approach is to "cheat" and point the LLM at an existing code base that implements the algorithms or patterns you want. Something like: "Review <codebase> and create a spec for <algorithm/pattern&#
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wiremine
1y ago
> As mentioned in the article, the big trick is having clear specs I've been building a programming language using Claude, and this is my findings, too. Which, after discovering this, makes sense. There are a LOT of small decisions
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