amadeuswoo

5 ms·

1.
by amadeuswoo 8mo ago
Excellent clear cut guide, will certainly share with my non-technical friends and family
2.
by amadeuswoo 8mo ago
Looks pretty good, the speech pipeline feels noticeably faster than the general-purpose apps I've used for lang conversations. Dead air kills immersion after all
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Show HN: Suzerain – How much autonomy do you give your AI coding assistants?(suzerain.dev)
1 points by amadeuswoo 8mo ago|0 comments
4.
Ask HN: What's something interesting you learned from training your own GPT?
2 points by amadeuswoo 8mo ago|3 comments
5.
by amadeuswoo 8mo ago
The skills that atrophy are the ones you weren't using anyway. If you let the LLM do the interesting/engaging parts, that's on you, not the tool
6.
by amadeuswoo 8mo ago
The "management as superpower" framing assumes people thoughtfully evaluate AI output. In practice, most users either review everything (slow, defeats the speed benefit) or review almost nothing (fast, but you're trusting the
7.
by amadeuswoo 8mo ago
Very gorgeous and creative! Any plans to attempt other isometric cities? (Like SF, LA, Paris, London)
8.
by amadeuswoo 8mo ago
Yeah, the context window is a blunt instrument, everything competes for attention. I get better luck with shorter, more opinionated skills that front-load the key constraints vs. comprehensive docs that get diluted. Also explicitly invoking
9.
by amadeuswoo 8mo ago
You don't, it's a map of intent, not infra state. What exists, why, what talks to what. Live state still needs IaC and observability. The .md captures the 'why' that terraform can't
10.
by amadeuswoo 8mo ago
One thing that’s evidently helped: using CLAUDE.md / agent instructions as de facto architecture docs. If the agent needs to understand system boundaries to work effectively, those docs actually get maintained
11.
by amadeuswoo 8mo ago
Honest question: has anyone found skills that fundamentally changed their workflow vs. ones that are just ‘nice to have’? Curious what the actual power-user stack looks like. Anyways, great work on this btw, the agent-agnostic approach is t
12.
by amadeuswoo 8mo ago
Always appreciate an English major in the wild. But I think taxonomy is only wasteful if it doesn't map to real distinctions, good naming saves debugging time like when untangling "what did we mean by 'user' here?".
13.
by amadeuswoo 8mo ago
It's worth noting Threads requires an Instagram account to sign up. That's like a 2B+ user funnel with constant in-app cross-promotion. Not diminishing the growth, but "daily active users" hitting parity with X is a diff
14.
Ask HN: When has humanities/history knowledge helped you in tech?
7 points by amadeuswoo 8mo ago|7 comments
15.
by amadeuswoo 8mo ago
Interesting architecture. Im curious about the workflow when an agent hits a denied action, does it get a structured rejection it can reason about and try an alternative, or does it just fail? Wondering how the feedback loop works between s
16.
by amadeuswoo 8mo ago
Stuxnet was 15 years ago. This isn’t crazy news, it’s just the first time it’s being reported openly
17.
by amadeuswoo 8mo ago
Nice! I’ve done some pitch detection with librosa before. Curious about your FFT/HPS implementation. How did you handle the time-frequency tradeoff for the spectrogram windowing? Or is that less of an issue with the other algorithms av
18.
by amadeuswoo 8mo ago
Don’t care if it’s vibe coded, love the raw and unapologetic aesthetic
19.
by amadeuswoo 8mo ago
I’m getting flashbacks on his 2009 deposition trial and something to do with “eggs”
20.
Ask HN: When has a "dumb" solution beaten a sophisticated one for you?
55 points by amadeuswoo 8mo ago|69 comments
21.
by amadeuswoo 8mo ago
The pipeline and incentive structure probably isn't there yet. I've hung out with game designers who are either bullish on AI but haven't integrated it, or just aren't tapped in at all. Reminds me of the web3 wave a few
22.
by amadeuswoo 8mo ago
For mobile phones: Chinese brands (Xiaomi, OnePlus, Oppo) are worth considering. Comparable specs to flagships at half the price, and you're trading one form of data exposure for another rather than adding to it. Not "better"
23.
by amadeuswoo 8mo ago
The feedback loop you describe—watching Claude's logs, then just asking it what functionality it wished it had—feels like an underexplored pattern. Did you find its suggestions converged toward a stable toolset, or did it keep wanting
24.
Show HN: Comparing Nietzsche Translations with Sentence Embeddings(nietzsche.amadeuswoo.com)
2 points by amadeuswoo 9mo ago|0 comments