How I Read Books
5 by nomilk | 3 comments on Hacker News.
I think many people misunderstand how to use books generally. They're such simple things. Many people think you have to read every page of a book starting at the first page and go to the last page, before moving on to the next. Maybe because that's what they were taught in school? How I read: - as many books as I want concurrently (from 0 to infinity) - sometimes I skip entire chapters to get to the bits I find important - sometimes I read parts of a book and decide it's a bad book, or not useful to me, so I put it aside - sometimes I read the same paragraphs/pages/chapters/books multiple times, rarely, but occasionally, many, many times (e.g. some essays I read approximately every 3 months, since they're so important to keep front of mind). - very often, I take notes, often many pages of notes. These are an amazing resource for years to come
Hack Nux
Watch the number of websites being hacked today, one by one on a page, increasing in real time.
New Show Hacker News story: Show HN: Vidmoat – My Super Fantastic AI Native Video Editor (MCP, Web)
Show HN: Vidmoat – My Super Fantastic AI Native Video Editor (MCP, Web)
3 by abilafredkb | 0 comments on Hacker News.
Hi there, I'm working on Vidmoat. A couple of months ago I wanted to venture into making videos. The only issue was that I suck at editing them. No amount of YouTube could hide the fact. But here's what I don't suck at. Building new stuff. I've also marveled at so much product demo videos and never quite figured out how to make my own (or pay for a professional to make one). So I made Vidmoat, my own personal AI native editor which provides an interface AI can drive. Works for both professionals and non-professionals. I mostly use mine via Claude MCP to handle edits for me and make entirely new clips. The exciting thing is that it's not limited to the provided tools. I built a 3d plugin so allow me animate a mascot i was building in 3D. I'd appreciate and love any feedback I can get on this
3 by abilafredkb | 0 comments on Hacker News.
Hi there, I'm working on Vidmoat. A couple of months ago I wanted to venture into making videos. The only issue was that I suck at editing them. No amount of YouTube could hide the fact. But here's what I don't suck at. Building new stuff. I've also marveled at so much product demo videos and never quite figured out how to make my own (or pay for a professional to make one). So I made Vidmoat, my own personal AI native editor which provides an interface AI can drive. Works for both professionals and non-professionals. I mostly use mine via Claude MCP to handle edits for me and make entirely new clips. The exciting thing is that it's not limited to the provided tools. I built a 3d plugin so allow me animate a mascot i was building in 3D. I'd appreciate and love any feedback I can get on this
New ask Hacker News story: Why can AI generate Super Mario but not a wedge ramp for my robot vacuum?
Why can AI generate Super Mario but not a wedge ramp for my robot vacuum?
2 by zhuchaokn | 0 comments on Hacker News.
I've been puzzled by something: AI generation can produce an elaborate figurine, a cartoon character, even a convincing Super Mario — yet it can't reliably make a simple wedge ramp so my robot vacuum can climb a step. For context: I bought a Bambu P2S but can't model. I tried the "describe it and get a model" AIs — the output is unusable, you can't adjust it, it's never quite what I meant. I tried having an agent write Python to build geometry directly — it tops out at simple primitives. What finally worked: geometric decomposition. I break a complex part into ordered, grouped steps, describe each as a small spec, and let an agent execute them in Blender (via blender-mcp). That process turned out to abstract into a small engine — the key insight being it converts the 3D spatial reasoning LLMs are bad at, into the structured code they're good at. I wrote it up here: https://ift.tt/hl1Ptwf My questions: - Why is "functional part" generation so much weaker than "figurine/aesthetic" generation? Is it data (no parametrized-CAD training sets), representation (mesh vs B-rep), or evaluation (nobody benchmarks "does it print / is it watertight")? - Is "turn 3D modeling into code for an LLM" the right framing, or am I missing something better?
2 by zhuchaokn | 0 comments on Hacker News.
I've been puzzled by something: AI generation can produce an elaborate figurine, a cartoon character, even a convincing Super Mario — yet it can't reliably make a simple wedge ramp so my robot vacuum can climb a step. For context: I bought a Bambu P2S but can't model. I tried the "describe it and get a model" AIs — the output is unusable, you can't adjust it, it's never quite what I meant. I tried having an agent write Python to build geometry directly — it tops out at simple primitives. What finally worked: geometric decomposition. I break a complex part into ordered, grouped steps, describe each as a small spec, and let an agent execute them in Blender (via blender-mcp). That process turned out to abstract into a small engine — the key insight being it converts the 3D spatial reasoning LLMs are bad at, into the structured code they're good at. I wrote it up here: https://ift.tt/hl1Ptwf My questions: - Why is "functional part" generation so much weaker than "figurine/aesthetic" generation? Is it data (no parametrized-CAD training sets), representation (mesh vs B-rep), or evaluation (nobody benchmarks "does it print / is it watertight")? - Is "turn 3D modeling into code for an LLM" the right framing, or am I missing something better?