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Why note-taking apps dont make us smarter
Why note-taking apps dont make us smarter
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Theyre designed for storage, not sparking insights. Can AI change that?
By [12]Casey Newton, a contributing editor who has been writing about
tech for over 10 years. He founded Platformer, a newsletter about Big
Tech and democracy.
Aug 25, 2023, 2:30 PM UTC| (BUTTON) Comments
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Screenshots of the note-taking app Obsidian.
Screenshots of the note-taking app Obsidian. Image: Obsidian
This is Platformer, a newsletter on the intersection of Silicon Valley
and democracy from Casey Newton and Zoë Schiffer. [13]Sign up here.
__________________________________________________________________
Today lets step outside the news cycle and turn our attention toward a
topic Im deeply invested in but only rarely write about: productivity
platforms. For decades now, software tools have promised to make
working life easier. But on one critical dimension — their ability to
improve our thinking — they dont seem to be making much progress at
all.
Meanwhile, the arrival of generative artificial intelligence could make
the tools we use more powerful than ever — or they could turn out to be
just another mirage.
To understand where things went wrong, I want to focus on the humble
note-taking app: the place where, for so many of us, thinking begins.
I.
Earlier this week I read a story about farmers. “Americas Farmers Are
Bogged Down by Data,” read the headline on [14]Belle Lins story in the
Wall Street Journal. I thought to myself: You and me both, farmer! And
I read the piece.
Over the past decade, farmers have been offered all manner of software
tools to analyze and manage their crops. In general, though, the more
software that farmers use, the more they find themselves overwhelmed by
data that the tools collect. “Were collecting so much data that youre
almost paralyzed with having to analyze it all,” one farmer told the
Journal.
As a journalist, Ive never collected as much data as I do now. The
collapse of Twitter has me browsing four or five text-based social
feeds a day, scanning for news and thoughtful conversation. The growing
popularity of arXiv and pre-prints in general has left me with a stack
of research that I will never get through. Book galleys pile up in my
house.
A screenshot of the app Notion. A screenshot of the app Notion.
A screenshot of the app Notion. A screenshot of the app Notion.
A screenshot of the app Notion. Image: Notion
Meanwhile, all day long I browse the web. Stories that might belong in
Platformer get saved into a database in the productivity platform
Notion. Every link that has ever been in this newsletter is stored
there, in many cases with the full article text.
Collectively, this material offers me an abundance of riches — far more
to work with than any beat reporter had such easy access to even 15
years ago.
And yet most days I find myself with the same problem as the farmer: I
have so much information at hand that I feel paralyzed.
II.
One solution to this data paralysis is to take notes. As a journalist,
of course, I have always taken notes. A few years ago, I thought we had
seen some true breakthroughs in note-taking, and increasingly put my
faith in those tools not just to capture my writing but to improve the
quality of my thinking.
The breakthrough tool was [15]Roam Research. In 2021, I wrote here
about [16]my first year using the subscription-based software, which
had two key insights into knowledge work. One was to make professional
note-taking feel more like journaling. It turns out that a fresh note
created each day, labeled with a date, is a good canvas for collecting
transient thoughts, which can serve as a springboard into deeper
thinking.
The second is known to note-taking nerds as “[17]bidirectional
linking.” Standard links, like the ones you find on the web, go in only
one direction — from one page to another. In a note-taking app,
bidirectional links join two pages together. This effectively lets you
add backlinks to any concept — a company thats important to you, say,
or a concept thats on your mind — and then let you browse everything
youve collected related to that concept at your leisure.
A graphic from Roam illustrating bidirectional linking. A graphic from
Roam illustrating bidirectional linking.
A graphic from Roam illustrating bidirectional linking. A graphic from
Roam illustrating bidirectional linking.
A graphic from Roam illustrating bidirectional linking. Image: Roam
On one level, thats not so different from adding tags to notes. But
tags are more about search. Bidirectional links, which some apps show
you on pages that include snippets of all the other notes that contain
the same link, are more about browsing and rediscovery.
Initially, I threw myself into this kind of associative note-taking. I
gathered links around concepts I wanted to explore (“the internet
enables information to travel too quickly,” for example, or social
networks and polarization). When I had an interesting conversation with
a person, I would add notes to a personal page I had created for them.
A few times a week, I would revisit those notes.
I waited for the insights to come.
And waited. And waited.
Note-taking apps are up against a much stronger foe
My gusto for concept-based, link-heavy note-taking diminished. Roams
development slowed to a crawl, and I spent a season with the
lightweight, mostly free alternative known as [18]Obsidian. Obsidians
brutalist design wore on me, though, and eventually I decamped for the
more polished user interface of [19]Mem. (These apps all enable the
exporting of your notes in Markdown, making switching relatively
painless.)
I continue to journal most days, and occasionally find myself working
to refine one concept or another among those notes.
But the original promise of Roam — that it would improve my thinking by
helping me to build a knowledge base and discover new ideas — fizzled
completely.
III.
One interpretation of these events is that the software failed: that
journaling and souped-up links simply dont have the power some of us
once hoped they did.
Another view, though, is that they are up against a much stronger foe —
the infinite daily distractions of the internet.
Note-taking, after all, does not take place in a vacuum. It takes place
on your computer, next to email, and Slack, and Discord, and iMessage,
and the text-based social network of your choosing. In the era of
alt-tabbing between these and other apps, our ability to build
knowledge and draw connections is permanently challenged by what might
be our ultimately futile efforts to multitask.
Ezra Klein wrote beautifully about this situation this week [20]in the
New York Times:
Gloria Mark, a professor of information science at the University of
California, Irvine, and the author of “[21]Attention Span,” started
researching the way people used computers in 2004. The average time
people spent on a single screen was 2.5 minutes. “I was astounded,”
she told me. “That was so much worse than Id thought it would be.”
But that was just the beginning. By 2012, Mark and her colleagues
found the average time on a single task was 75 seconds. Now its
down to about 47.
This is an acid bath for human cognition. Multitasking is mostly a
myth. We can focus on one thing at a time. “Its like we have an
internal whiteboard in our minds,” Mark said. “If Im working on one
task, I have all the info I need on that mental whiteboard. Then I
switch to email. I have to mentally erase that whiteboard and write
all the information I need to do email. And just like on a real
whiteboard, there can be a residue in our minds. We may still be
thinking of something from three tasks ago.”
My first thought upon reading this was that it seems rare for me to
spend even 47 seconds looking at one screen on my computer without at
least glancing at another. (I bought a 38-inch widescreen monitor for
the express purpose of being able to glance at many windows
simultaneously. At the time I understood this as a tool for enhancing
my productivity.)
My second thought is that if you want to take good notes, you have to
first extract your mind from the acid bath.
IV.
Kleins piece starts from the observation that productivity growth is
now about half of what it was in the 1950s and 60s. The internets
arrival briefly speeded it up, he writes, but the more we stared at our
screens the slower our productivity improved. He worries that AI will
have a similar effect on the economy — promising to make us more
productive, while simultaneously inventing so many new distractions and
entertainments that they overwhelm and paralyze us.
The piece stuck with me, because there is one specific way I am
counting on AI to make me more productive. It goes back to that
database of links Ive been building in Notion, and the insights I was
hoping to get out of Roam.
Saving an article in Mem. Saving an article in Mem.
Saving an article in Mem. Saving an article in Mem.
Saving an article in Mem. Image: Mem
Earlier this year, like many productivity tools, Notion added a handful
of AI features. I use two of them in my links database. One extracts
the names of any companies mentioned in an article, creating a kind of
automatic tagging system. The other provides a two- or three-sentence
summary of the article Im saving.
Neither of these, in practice, is particularly useful. Tags might
theoretically be useful for revisiting old material, but databases are
not designed to be browsed. And while we publish summaries of news
articles in each edition of Platformer, we wouldnt use AI-written
summaries: among other reasons, they often miss important details and
context.
At the same time, the database contains nearly three years of links to
every subject I cover here, along with the complete text of thousands
of articles. It is here, and not in a note-taking app, that knowledge
of my beat has been accreting over the past few years. If only I could
access that knowledge in some way that went beyond my memory.
Its here that AI should be able to help. Within some reasonable period
of time, I expect that I will be able to talk to my Notion database as
if its ChatGPT. If I could, I imagine I would talk to it all the time.
Much of journalism simply involves remembering relevant events from the
past. An AI-powered link database has a perfect memory; all its
missing is a usable chat interface. If it had one, it might be a
perfect research assistant.
Todays chatbots cant do any of this to a reporters standard
I imagine using it to generate little briefing documents to help me
when I return to a subject after some time away. Catch me up on
Canadas fight with Meta over news, I might say. Make me a timeline of
events at Twitter since Elon Musk bought it. Show me coverage of
deepfakes over the past three months.
Todays chatbots cant do any of this to a reporters standard. The
training data often stops in 2021, for one thing. The bots continue to
make stuff up, and struggle to cite their sources.
But if I could chat in natural language with a massive archive, built
from hand-picked trustworthy sources? That seems powerful to me, at
least in the abstract.
Of course, the output from this kind of AI tool has to be trustworthy.
A significant problem with using AI tools to summarize things is that
you cant trust the summary unless you read all the relevant documents
yourself — defeating the point of asking for a summary in the first
place.
Still, if you are the sort of productivity-tool optimist who will try
any to-do list or calendar app on the off chance it makes you even a
little happier at work, it seems to me that a database you can talk to
might be the next-generation note-taking tool we have been waiting for.
V.
Ive learned something else about note-taking apps, though, since my
mania for them began in 2020.
In short: it is probably a mistake, in the end, to ask software to
improve our thinking. Even if you can rescue your attention from the
acid bath of the internet; even if you can gather the most interesting
data and observations into the app of your choosing; even if you
revisit that data from time to time — this will not be enough. It might
not even be worth trying.
Ill admit to having forgotten those questions over the past couple
years
The reason, sadly, is that thinking takes place in your brain. And
thinking is an active pursuit — one that often happens when you are
spending long stretches of time staring into space, then writing a bit,
and then staring into space a bit more. Its here here that the
connections are made and the insights are formed. And it is a process
that stubbornly resists automation.
Which is not to say that software cant help. Andy Matuschak, a
researcher whose [22]spectacular website offers a feast of thinking
about notes and note-taking, observes [23]that note-taking apps
emphasize displaying and manipulating notes, but never making sense
between them. Before I totally resign myself to the idea that a
note-taking app cant solve my problems, I will admit that on some
fundamental level no one has really tried.
“The goal is not to take notes — the goal is to think effectively,”
[24]Matuschak writes. “Better questions are what practices can help me
reliably develop insights over time? [and] how can I shepherd my
attention effectively?’”
Ill admit to having forgotten those questions over the past couple
years as I kept filling up documents with transient strings of text
inside expensive software. And I accept that to be a better thinker,
Ill have to devote more time and attention to wrestling with what I
find.
If theres a friendly AI to help me do that, though, Ill be first in
line to try it.
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