Products with extensive/rich UIs lots of sliders, switches, menus, with no scripting support, and built on opaque, custom, binary formats are ngmi in… - Andrej Karpathy

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Products with extensive/rich UIs lots of sliders, switches, menus, with no scripting support, and built on opaque, custom, binary formats are ngmi in the era of heavy human+AI collaboration.

If an LLM can't read the underlying representations and manipulate them and all of the related settings via scripting, then it also can't co-pilot your product with existing professionals and it doesn't allow vibe coding for the 100X more aspiring prosumers.

Example high risk (binary objects/artifacts, no text DSL): every Adobe product, DAWs, CAD/3D
Example medium-high risk (already partially text scriptable): Blender, Unity
Example medium-low risk (mostly but not entirely text already, some automation/plugins ecosystem): Excel
Example low risk (already just all text, lucky!): IDEs like VS Code, Figma, Jupyter, Obsidian, ...

AIs will get better and better at human UIUX (Operator and friends), but I suspect the products that attempt to exclusively wait for this future without trying to meet the technology halfway where it is today are not going to have a good time.

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Additional quotes by Andrej Karpathy

People have too inflated sense of what it means to "ask an AI" about something. The AI are language models trained basically by imitation on data from human labelers. Instead of the mysticism of "asking an AI", think of it more as "asking the average data labeler" on the internet.

Few caveats apply because e.g. in many domains (e.g. code, math, creative writing) the companies hire skilled data labelers (so think of it as asking them instead), and this is not 100% true when reinforcement learning is involved, though I have an earlier rant on how RLHF is just barely RL, and "actual RL" is still too early and/or constrained to domains that offer easy reward functions (math etc.).

But roughly speaking (and today), you're not asking some magical AI. You're asking a human data labeler. Whose average essence was lossily distilled into statistical token tumblers that are LLMs. This can still be super useful ofc ourse. Post triggered by someone suggesting we ask an AI how to run the government etc. TLDR you're not asking an AI, you're asking some mashup spirit of its average data labeler.

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The future expands the variance of human condition a lot more than it drags its mean. This is an empirical observation with interesting extrapolations.

The past is well-approximated as a population of farmers, living similar lives w.r.t. upbringing, knowledge, activities, ideals, aspirations, etc.

The future trends to include all of:
- the transhumanists who "ascend" with neuralinks etc., and the Amish living ~19th century life.
- those who "worship" ideals of religion, technology, knowledge, wealth, fitness, community, nature, art, ...
- those exploring externally into the stars, those exploring internally into minds (drugs++), or those who disappear into digital VR worlds
- those who date a different partner every day and those who are monogamous for life
- those who travel broadly and those who stay in one location their entire life
- those in megacities and those off-the-grid

For almost any question about a dimension of human condition, the answer trends not to any specific thing but to "all of the above". And to an extreme diversity of memetics. At least, this feels like the outcome in free societies that trend to abundance. I don't know what it feels like to live in such a society but it's interesting to think about.

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