The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 12 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Arbesman: Human advances will require AI partnerships due to cognitive limits
“And so we're going to need these kind of machine partners in order to continue making advances, and so rather than viewing it as humans are being displaced, it's really essentially that humans are only through this partnership are humans going to be able to co…”
Arbesman: Humans will feel vicarious pride in AI-generated creations
“We are going to increasingly need to have a certain amount of nachos for our technologies, where these technologies might be doing things, might be doing activities that they might be making creations that are not our own, but we were the ones who ultimately p…”
Arbesman: Computer malware encoded in DNA successfully compromised a sequencing machine
“We've actually seen in the news recently this that malware was encoded in DNA and then it compromised and took over a machine involved in analyzing the sequences which is pretty wild stuff.”
Arbesman: VCs can succeed in deep tech by avoiding naive cross-domain analogies
“Yes, I do think so. As long as we're really just not stepping too naively from one domain to another, and we recognize essentially both the promise and perils of analogizing from one complex system to another. So as long as we do this with open eyes, I think w…”
Arbesman: Combining disparate ideas creates a defensible moat for startups
“So I think if a startup can bring together disparate ideas and carve out a niche and unique way of thinking and provide something of value to the world, that's something that is both differentiable and also a defensible moat because it's hard to jump across di…”
Arbesman: Combining specialists, T-shaped people, and generalists builds optimal organizations
“Bring all those different people together, specialists, teachers, individuals, people who are a little bit more general minded into an organization is going to make it the best version possible.”
Arbesman: Computational tools are necessary to navigate increasingly complex systems
“As the world around us is becoming more and more complex, it's becoming more difficult to fully understand either the technologies that we ourselves have built, or the systems that we're trying to understand in science, like a biological system, for example. A…”
Arbesman: Machines will increasingly join human teams in creative collaboration
“But ultimately, I think creativity, it's always been, to a certain degree, a collaborative act, and now we're going to increasingly count machines as part Of our collaborative teams now.”
Arbesman: Frontier tech is too broad to be treated as a single category
“While there might be certain similarities, I think frontier tech overall, and it's really this, it's very broad and diffuse space, and so in many ways I'm almost hesitant to group it all under kind of that umbrella term. And because the knowledge you need to d…”
Arbesman: The startup ecosystem is far less siloed than academia
“The startup ecosystem is certainly in a much better shape than for example, like academia, where academia is incredibly siloed.”