Always bet on text (2014)

I think the downside, at least near-term, or maybe challenge would be the better word, is that anything richer than text requires a lot more engineering to make it useful. B♭ is text. Most of the applications on your computer, including but not limited to your browser, know how to render B♭ and C♯, and your brain does the rest.

Bret Victor's work involves a ton of really challenging heavy lifting. You walk away from a Bret Victor presentation inspired, but also intimidated by the work put in, and the work required to do anything similar. When you separate his ideas from the work he puts in to perfect the implementation and presentation, the ideas by themselves don't seem to do much.

Which doesn't mean they're bad ideas, but it might mean that anybody hoping to get the most out of them should understand the investment that is required to bring them to fruition, and people with less to invest should stick with other approaches.

I just recently intentionally made the decision to keep the equation input in FuzzyGraph (https://fuzzygraph.com) plain text (instead of something like stylized latex like Desmos has) in order to make it easy to copy and paste equations.

Reread Story of Your Life again just now, and all it made me want to do is learn Heptapod B and their senagram style of written communication.

Reading “Mathematica - A secret world of intuition and curiosity” as well and a part stuck out in a section called The Language Trap. Example author gives is about for a recipe for making banana bread, that if you’re familiar with bananas, it’s obvious that you need to peel them before mashing. Bit of you haven’t seen a banana, you’d have no clue what to do. Does a recipe say peel a banana or should that be ignored? Questions like these are clear coming up more with AI and context, but it’s the same for humans. He ends that section saying most people prefer a video for cooking rather than a recipe.

Other quote from him:

“The language trap is the belief that naming things is enough to make them exist, and we can dispense with the effort of really imagining them.”

This is one of those irritating articles where one agrees with the gist, but there are serious flaws in the support. There are societies, even now, that don't have text. Yes, they represent a tiny fraction of 1% of the global population, but they do exist. And the beauty of text is that this level of nuance can be conveyed, a simplistic, inaccurate, broad brush approach is not needed. Nor is it the oldest form of communication. Having recently started exploring the cave art record, the text informs me that this is at least an upper middle single digit multiple of the age of text. Yes, a picture paints a thousand words, which can then be interpreted a thousand ways. Text has the ability to convey precise, accurate, objective information, it does not, as this article demonstrates, necessarily do so.

I agree. As a simple exercise, look at all software tools that’s GUI only. They become a large walled garden unable to be penetrated by LLM.

Tools that are mostly text or have text interfaces? Greatly improved by LLM.

So all of those rich multimedia and their players/editors really need to add text representations.