The Ledger
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Banta: AGI development is bottlenecked by software complexity, not compute
“I actually don't think the limitation will be compute power, but the limitation will more be around the type of software that you need to build something as complex and dynamic as a person.”
Banta: Artificial super intelligence will follow AGI within weeks to years
“So I feel like once you get to AGI and you're able to have machines that can operate 24 seven, sufficiently work together and do further research in the space, you'll probably get to an ASI in a much shorter period of time. Anything from weeks to months to yea…”
Banta: Optimistic timeframe for AGI arrival is the 2040s or 2050s
“I'm not sure if I'm as smart as folks like Ray Kurzweil to give an exact date, but I would guess probably in like the, in the most optimistic case in the 20 forties or fifties.”
Banta: VC Firms Lack standard Startup OKRs and KPIs
“Venture firms tend to be partnership-oriented. They don't operate around clear OKRs or KPIs. So you're not kind of run in the same efficient manner that traditional startup might be run in.”
Banta: AI startups overpromising human-level AI inevitably disappoint users
“I think a lot of startups often go out, or technology companies go out, and feign this experience that, you know, I'm building this machine or AI that's gonna be able to operate just like a person. And I think one of the challenges there is that you start to c…”
Banta: Human operators behind AI services are not going away soon
“In a lot of cases, there are people behind the machine that are masked or not put at the forefront. And in In certain cases, like, those people aren't going anywhere anytime soon if you want to create the type of experience I think consumers want.”
Banta: Closing the final 10% of AI automation requires most effort
“To get to 80, 90, 95% automation. But the challenge is, like, most people don't care about, you know, if you could get a driverless car that could drive well 85% of the time, that's not particularly useful because that's still too dangerous or inconsistent exp…”
Banta: Open-source ML tools let junior engineers perform specialist work
“One of the really nice things is that a lot of these companies are open sourcing and democratizing these services, so things like TensorFlow from Google, and the result is, you know, we, when we recruit engineers, I mean, even an out-of-school engineer can do …”
Banta: AI startups build competitive moats through proprietary datasets
“One of the areas where I feel like startups Can have a distinct advantage is creating unique data sets that do interesting things around on top of some of these machine learning algorithms.”
Banta: AI startups gather human data easier than big tech incumbents
“And often as a small company, it's a little bit easier because you don't have The reputation risk and or the challenges that a bigger company might have around organizing a cohort of people that in their world is very small, but in a startup world could be, yo…”
Banta: AI will not replace investors, founders, or marketers near term
“I don't think in the near term you're going to have a machine fully replace the way, you know, venture investors work, fully replace the way startup founders work, podcast producers or marketers.”
Banta: Artificial narrow intelligence phase will continue for decades
“Well, so I think you already see instances where we're firmly in the ANI phase. You see lots of instances where things are self-sufficient. And I think this is a really exciting phase because there are lots of narrow things like driverless cars, as an example,…”
Banta: Leaving venture capital becomes economically harder over time
“It gets harder with time. Economically, it gets harder. You get comfortable. You start to feel like you can actually do a good job in the venture industry”
Banta: Venture capital dealmaking is a solo responsibility
“It is a little bit more of a solo sport, because anytime you're doing a deal, you're the person at the firm that's primarily responsible for it.”
Banta Evaluated Over 1,000 Startups Annually as VC Investor
“When I was an investor, I was doing, I was meeting over a thousand companies each year, and I was able to meet with so many other individuals, so that you're just kind of learning from this firehose, and in this unnatural way, starting to learn about new ideas…”