Rosettatype’s avatarRosettatype’s Twitter Archive—№ 2,884

  1. Very nice! “Using AI to Augment Human Intelligence” by @shancarter and @michael_nielsen shows (and nicely explains) some of the applications of machine learning in the context of type design. Some of those I hypothesized at @typostammtisch in April. distill.pub/2017/aia/
    1. …in reply to @rosettatype
      @shancarter @michael_nielsen @typostammtisch I would not object to changing the whole paradigm of a font from a collection of glyphs to a “shape generator” (e.g. some neural network?).
    2. …in reply to @rosettatype
      @shancarter @michael_nielsen @typostammtisch The biggest challenges are, imho: use of vectors (i.e. precision and independence of scale) and finding the right interfaces for designers/users to interact with NNs in a meaningful ways. (and probably something else I cannot foresee atm.)
    3. …in reply to @rosettatype
      @shancarter @michael_nielsen @typostammtisch Although, I usually leave oracular activities to others, my guess is that we will see ML-augmented type design within the next 5–7 years (kerning, boldening, widening, …). In 10–12 y we will see assistive design tools that will generate new characters with/for you.
      1. …in reply to @rosettatype
        @shancarter @michael_nielsen @typostammtisch Stuff like this makes one question the utility of variable fonts even more.