Taken at face value, the phrase tool for thought doesn't have the word 'computer' or 'digital' anywhere in it. It suggests nothing about software systems or interfaces. It's simply meant to refer to tools that help humans think thoughts; potentially new, different, and better kinds of thoughts than we currently think.

Most of the examples I listed above are cultural practices and techniques. They are primary ways of doing; specific ways of thinking and acting that result in greater cognitive abilities. Ones that people pass down from generation to generation through culture. Every one of these also pre-dates digital computers by at least a few hundred years, if not thousands or tens of thousands. Given that framing, it's time to return to the question of how computation, software objects, and note-taking apps fit into this narrative.

If you look around at the commonly cited “major thinkers” in this space, you get a list of computer programmers: Kenneth Iverson, J.C.R. Licklider, Vannevar Bush, Alan Kay, Bob Taylor, Douglas Englebart, Seymour Papert, Bret Victor, and Howard Rheingold, among others.

This is relevant because it means these men share a lot of the same beliefs, values, and context. They know the same sorts of people, learned the same historical stories in school and were taught to see the world in particular kinds of ways. Most of them worked together, or are at most one personal connection away from the next. Tools for thought is a community scene as much as it's a concept. This gives tools for thought a distinctly computer-oriented, male, American, middle-class flavour. The term has always been used in relation to a dream that is deeply intertwined with digital machines, white-collar knowledge work, and bold American optimism.

Englebart was specifically concerned with our ability to deal with complex problems, rather than simply “amplifying intelligence.” Being able to win a chess match is perceived as intelligent, but it isn't helping us tackle systemic racism or inequality. Englebart argued we should instead focus on “augmenting human intellect” in ways that help us find solutions to wicked problems. While he painted visions of how computers could facilitate this, he also pointed to organisational structures, system dynamics, and effective training as part of this puzzle.

There is a rich literature of research and insight into how we might expand human thought that sometimes feels entirely detached from the history we just covered. Cognitive scientists and philosophers have been tackling questions about the relationship between cognition, our tools, and our physical environments for centuries. Well before microprocessors and hypertext showed up. Oddly, they're rarely cited by the computer scientists. This alternate intellectual lineage is still asking the question “how can we develop better tools for thinking?” But they don't presume the answer revolves around computers.

Proponents of embodied cognition argue that our perceptions, concepts, and cognitive processes are shaped by the physical structures of our body and the sensory experiences it provides, and that cognition cannot be fully understood without considering the bodily basis of our experiences.

Philosopher Andy Clark has spent his career exploring how external tools transform and expand human cognition. His 2003 book Natural-born Cyborgs argues humans have “always been cyborgs.” Not in the sense of embedding wires into our flesh, but in the sense we enter “into deep and complex relationships with nonbiological constructs, props, and aids”. Our ability to think with external objects is precisely what makes us intelligent. Clark argues “the mind” isn't simply a set of functions within the brain, but a process that happens between our bodies and the physical environment. Intelligence emerges at the intersection of humans and tools. He expanded on this idea in a follow-on book called Supersizing the Mind. It became known as the extended mind hypothesis. It's the strong version of theories like embodied cognition, situated cognition, and enacted cognition that are all the rage in cognitive science departments.

There's a scramble to make sense of all these new releases and the differences between them. YouTube and Medium explode with DIY guides, walkthrough tours, and comparison videos. The productivity and knowledge management influencer is born.[ giant wall of productivity youtube nonsense ]The strange thing is, many of these guides are only superficially about the application they're presented in. Most are teaching specific cultural techniques

Zettelkasten, spaced repetition, critical thinking.These techniques are only focused on a narrow band of human activity. Specifically, activity that white-collar knowledge workers engage in.I previously suggested we should rename TFT to CMFT (computational mediums for thought), but that doesn't go far enough. If we're being honest about our current interpretation of TFT's, we should actually rename it to CMFWCKW – computational mediums for white-collar knowledge work.

By now it should be clear that this question of developing better tools for thought can and should cover a much wider scope than developing novel note-taking software.

I do think there's a meaningful distinction between tools and mediums: Mediums are a means of communicating a thought or expressing an idea. Tools are a means of working in a medium. Tools enable specific tasks and workflows within a medium. Cameras are a tool that let people express ideas through photography. Blogs are a tool that lets people express ideas through written language. JavaScript is a tool that let people express ideas through programming. Tools and mediums require each other. This makes lines between them fuzzy.