Why would any company pay when they could get software for free? And yet we saw the opposite: open source software enabled an explosion in software products that yes, people paid for.

Much of this knowledge is highly specific, and isn't captured in the literature. We can call this 'tacit' knowledge. To this end, science isn't really the literature - the literature is a partial representation of what we know. The full range of what we know lives inside the minds of researchers.

What if investors could directly fund product R&D within existing companies, taking risk in exchange for a future share of revenue?

I’m personally much more interested in machine intelligence as human augmentation rather than the oft-hyped AI assistant as a separate embodiment.

With a more decentralized structure, modern idea machines can “arm the rebels” right where they are, instead of hiring them into a foundation. The popularity of so-called regrantor programs (i.e. scout programs) reflects this trend, where talented individuals are given funding to make grants on behalf of the grantmaking organization.

The divide between those who do and don’t own capital is an important driver of widening wealth inequality [50]. Forms of accessible co-ownership could be an antidote to chronic wage stagnation and anxieties about job-replacing automation.

Early-stage venture capital investments take a long time to come to fruition. These or other YC companies from after Graham’s tenure may yet prove to be economically and culturally important like their forerunners. The evidence so far, however, suggests that their impact is well below that of earlier YC companies of similar age, in spite of their h... See more

I expect that effective altruism will always be an example of what I’ve called “club” communities elsewhere: high retention of existing members, but limited acquisition of new members, like a hobbyist club. EA will continue to grow, but it will never become the dominant narrative because it’s so morally opinionated. I don’t think that’s a problem, ... See more

Regardless of your GTM approach and the type of users teams end up choosing, my core view on building AI-first companies in 2022 is that outside of the core team dynamics above, pace and conviction will be what dictates success.

The pace of innovation means having the time to see validating data will be nearly impossible, and thus teams must build a... See more