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
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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?
New ask Hacker News story: Where are people finding GPU capacity?
Where are people finding GPU capacity?
3 by adilhafeez | 1 comments on Hacker News.
Is it just me or is GPU capacity surprisingly hard to find right now , even in Spot pools? I’ve been trying to get H100s and the Spot pools I’ve checked are pretty much always full. I ended up trying MI350/MI355s on DigitalOcean Spot and have been running them for about a week without getting interrupted. Curious if anyone else has tried them? How often are you actually getting reclaimed? Also, where are you guys finding capacity these days?
3 by adilhafeez | 1 comments on Hacker News.
Is it just me or is GPU capacity surprisingly hard to find right now , even in Spot pools? I’ve been trying to get H100s and the Spot pools I’ve checked are pretty much always full. I ended up trying MI350/MI355s on DigitalOcean Spot and have been running them for about a week without getting interrupted. Curious if anyone else has tried them? How often are you actually getting reclaimed? Also, where are you guys finding capacity these days?