Kyle Harrison
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Open-Source Knowledge

Ideas as infrastructure, not artifacts

The belief that knowledge should be treated like open-source software — living, interconnected, forkable, and in continuous development — rather than static publications that slowly decay. This encompasses the study and construction of knowledge management systems, collaborative knowledge platforms, and the philosophy that ideas compound fastest when they're publicly legible, modular, and built to be extended by others.

11 Essays
15 Books
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Jack Raines @Jack_Raines

On cognitive decline, information overload, and the death of reading: @patrickc linked a really good article on the implications of the death of reading as a culture (and also how TV actually started this trend, not phones and social media, though now doomscrolling has kicked it into overdrive). I'm acutely aware of the adverse effects of extended social media usage in my own life. I've told myself that social media, and Twitter in particular, is "useful" for work as a VC (which it is, to an extent), and certainly I've had to maintain an active social presence to market a book. But the constant access to "the feed" is, without a doubt, a cognitive drain. You start reading a difficult paper, researching a new market, looking into a new company, etc, and it's quite literally "too easy" to "check Twitter" (or your inbox, etc) when the knowledge work is being done on the same device where you access the dopamine factory. Throw in Slack, Teams, imessage, etc, and the problem compounds. Too many distractions from deep thinking. This is also a limiting factor for LLMs as a "knowledge factory." LLMs are a godsend for an aspiring autodidact, but when you're using ChatGPT or Claude, you still face the cognitive load issue of social media existing on the same machine. Even if you don't succumb to it, or if you use app and social media blockers, there's a cognitive load involved in resisting the dopamine. This also highlights an emerging value prop of books as a form factor: Books, of course, aren't the most efficient way to retrieve data, LLMs are better (and they're trained on basically every book). But books are a much better harness for "learning" than any online format, because they give the reader a distraction-free medium for gaining knowledge. Yes, in an ideal world, an "isolated LLM" could be used as an "everything tutor," but the temptation of the internet will limit the ability to "think deeply" when working on a laptop. Books (and e-readers without other internet access) remove that distraction, and they allow you to really "sit with the words," whether you're reading a memoir that really draws you into the author's world, or you're working through McKinsey's Valuation book and struggling to understand DCFs and cost of debt. I think you can "create" environments to better digest digital content as well though. Something I've started doing to get "more" out of my reading is bookmarking everything with @wwwsublimeapp, then using Sublime's MCP to push all of my bookmarks to my personal website library. I have an iPad with no social media or imessage, and its only email address is a separate inbox I use to subscribe to all of my newsletters. On weekends, I'll read through the bookmarked library on the iPad with my phone and laptop put away. Much better experience.

2026-09-06
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James Rosen-Birch ⚖️🕊️ @provisionalidea

Really happy to see people finally talking about how academic signals and traditional sources of scientific truth have been fundamentally compromised in unprecedented ways to launder shoddy ideas and boost corporate valuations. An excerpt from something I’ve been writing — https://t.co/gZQn6tbgjl **Quoting @bayesianboy:** > Have been thinking a lot about when scientific concepts become propagandized. > > Paper exemplifies “corporate capture of concepts from academic research on AI and society” framing them “as solvable problems whose solution is the right tech integrated in the right way.”

from the tweet
2026-05-13
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Aadit Sheth @aaditsh

Google just made a $2,000 AI education free (and most people will still choose to stay illiterate). They quietly launched Google Skills, a hub with 3,000 technical modules that replaces "prompting" fluff with actual DeepMind research workflows. You can now access the exact https://t.co/n38Ag0b1ea

from the tweet
from the tweet
2025-12-30