Mazer23
Joined 16 years ago
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Member since
Apr 8
Joined 16 years ago
What people actually mean is we don’t and often can’t understand an entire reasoning chain of a large llm and often can’t trace that back to the specific training data that caused that reasoning.
Anthropic itself had build all kinds of tools to try to understand llm internal “thoughts” https://www.anthropic.com/research/natural-language-autoenco...
I don’t think it’s unreasonable to say “no one understands how llms work.” What they mean is we don’t and can’t follow every one of its internal chains of thought, especially at the pace new models and techniques are being developed.
https://aireel.tv/s/hazLIx8f
The vector graphics and animations are pretty llm quality. I wonder if you could leverage some of the new image frameworks instead of an llm animating vectors to make the animation in the middle a lot more compelling.
For comparison, here is our human-made product video. https://www.partforge.ai/video
Given that our product is about 3d printing real parts having real video footage makes it a lot more compelling. Also the real VoiceOver feels much more authentic. I'm already getting a serious aversion to ai style voiceovers. Maybe there are some ways to make yours feel a bit more out of the box so that it introduces new ideas and new pitches that might stretch what a product creator thinks of?
Cool idea and nice execution. Makes a lot of setup you would normally do with llm's and skills pretty seamless and packaged nicely.