Jan 11, 2022 · 1h 17m · startup-ideas

Forecasting the Future of Tech with Scott Belsky | Where It Happens

Sahil Bloom · 29m spoken Scott Belsky · 28m spoken Greg Isenberg · 12m spoken
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

Sahil Bloom and Greg Isenberg host tech executive and investor Scott Belsky to dissect near-future tech predictions, exploring algorithmic discovery, opt-in hyper-personalization, decentralized governance, and the rise of fractional, polygamous careers.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Greg holds 17.6% of the talking time here. How this is scored →

Greg as informed peer 3.9 Guest teaching 2.4 Guest disagreement 0.8 Greg pushing back 1.6
05100:0020:0040:001:00:000:00–2:01 · Greg as informed peer 4/10 Catching Up and Defining Variant Perception for 2022 Greg and Sahil introduce the show and discuss goal-setting and variant perception for the upcoming year. The conversation is collaborative and conversational with no adversarial dynamic.2:02–4:17 · Greg as informed peer 5/10 Contrarian Predictions on Remote Work vs. In-Person Culture Sahil offers a contrarian take that remote work will swing back to in-person, while Greg pushes back using his experience running remote companies since 2014 to argue remote tech is here to stay with periodic in-person summits.4:18–6:31 · Greg as informed peer 4/10 Introducing Scott Belsky and Industry Debates The hosts set up the interview with Scott Belsky, citing recent Web3 skepticism from tech leaders Aaron Levie and Brian Chesky to frame the upcoming discussion.6:34–10:24 · Greg as informed peer 0/10 Sponsor Spotlight: Capchase and Commonstock Mid-roll advertisement reads for Capchase and Commonstock.10:25–13:02 · Greg as informed peer 2/10 Scott Belsky’s Note-Taking and Synthesis Process Scott Belsky explains his multi-year note capture system in Notion and his synthesis framework for forecasting trends, offering practical methodology to the hosts.13:02–18:48 · Greg as informed peer 4/10 The Web3 Debate: Speed vs. Autonomy and Ownership Greg asks how to reconcile Aaron Levie and Brian Chesky dismissing Web3. Belsky reframes the critique by explaining that consumers routinely trade raw performance/speed for autonomy, ownership, and collaboration, drawing parallels to Photoshop moving to the web.18:49–26:02 · Greg as informed peer 4/10 Prediction: Recommendations Kill Favorites Belsky explains why algorithmic recommendations will replace static favorite lists. Greg pushes back by asking whether algorithmic curation destroys the sentimental emotional connection of human-made playlists.26:04–32:14 · Greg as informed peer 5/10 Shifting From Disruptive Ads to Opt-In Personalization Belsky argues people will opt into hyper-personalized experiences. Greg validates this with StumbleUpon's paid discovery model, while Sahil expresses dystopian concerns about emotional targeting.32:14–40:03 · Greg as informed peer 6/10 Brainstorming a Universal Preference Profile Platform The hosts and Belsky collaboratively brainstorm a universal consumer preference API. Greg and Sahil drill into go-to-market monetization, token incentives, and starting with a Web2 MVP.40:04–48:15 · Greg as informed peer 4/10 The Financialization of Participation and Web3 Wikipedia Belsky reflects on the financialization of user participation and whether Wikipedia would improve with tokenized contributor incentives. Greg and Sahil explore gamification mechanics.48:15–55:33 · Greg as informed peer 4/10 The Rise of Polygamous Careers and Creative Work Belsky introduces the concept of polygamous careers, arguing creativity is the new productivity and specialization leads to stagnation. Sahil reinforces this with the tax and credit disadvantages 1099 workers face.55:35–1:02:47 · Greg as informed peer 5/10 Talent Advantage of DAOs and Infrastructure for Fractional Work The group discusses how DAOs enable fractional work with ownership. Greg provides a real-world counterexample of burnout from token speculation, while Sahil outlines the missing operating system software needed for fractional employment.1:02:48–1:10:26 · Greg as informed peer 5/10 Standing Out, 3D Creation, and Long-Tail Commerce Belsky predicts 3D creation and long-tail artisan commerce will expand. Sahil pushes back with the tension between power-law platform dynamics and long-tail survival.1:10:27–1:15:46 · Greg as informed peer 3/10 Concluding the Interview with Scott Belsky Greg and Sahil wrap up with Belsky and debrief in post-show analysis, reviewing the key venture ideas generated during the conversation.0:00–2:01 · Guest teaching 0/10 Catching Up and Defining Variant Perception for 2022 Greg and Sahil introduce the show and discuss goal-setting and variant perception for the upcoming year. The conversation is collaborative and conversational with no adversarial dynamic.2:02–4:17 · Guest teaching 1/10 Contrarian Predictions on Remote Work vs. In-Person Culture Sahil offers a contrarian take that remote work will swing back to in-person, while Greg pushes back using his experience running remote companies since 2014 to argue remote tech is here to stay with periodic in-person summits.4:18–6:31 · Guest teaching 0/10 Introducing Scott Belsky and Industry Debates The hosts set up the interview with Scott Belsky, citing recent Web3 skepticism from tech leaders Aaron Levie and Brian Chesky to frame the upcoming discussion.6:34–10:24 · Guest teaching 0/10 Sponsor Spotlight: Capchase and Commonstock Mid-roll advertisement reads for Capchase and Commonstock.10:25–13:02 · Guest teaching 4/10 Scott Belsky’s Note-Taking and Synthesis Process Scott Belsky explains his multi-year note capture system in Notion and his synthesis framework for forecasting trends, offering practical methodology to the hosts.13:02–18:48 · Guest teaching 6/10 The Web3 Debate: Speed vs. Autonomy and Ownership Greg asks how to reconcile Aaron Levie and Brian Chesky dismissing Web3. Belsky reframes the critique by explaining that consumers routinely trade raw performance/speed for autonomy, ownership, and collaboration, drawing parallels to Photoshop moving to the web.18:49–26:02 · Guest teaching 3/10 Prediction: Recommendations Kill Favorites Belsky explains why algorithmic recommendations will replace static favorite lists. Greg pushes back by asking whether algorithmic curation destroys the sentimental emotional connection of human-made playlists.26:04–32:14 · Guest teaching 3/10 Shifting From Disruptive Ads to Opt-In Personalization Belsky argues people will opt into hyper-personalized experiences. Greg validates this with StumbleUpon's paid discovery model, while Sahil expresses dystopian concerns about emotional targeting.32:14–40:03 · Guest teaching 2/10 Brainstorming a Universal Preference Profile Platform The hosts and Belsky collaboratively brainstorm a universal consumer preference API. Greg and Sahil drill into go-to-market monetization, token incentives, and starting with a Web2 MVP.40:04–48:15 · Guest teaching 4/10 The Financialization of Participation and Web3 Wikipedia Belsky reflects on the financialization of user participation and whether Wikipedia would improve with tokenized contributor incentives. Greg and Sahil explore gamification mechanics.48:15–55:33 · Guest teaching 5/10 The Rise of Polygamous Careers and Creative Work Belsky introduces the concept of polygamous careers, arguing creativity is the new productivity and specialization leads to stagnation. Sahil reinforces this with the tax and credit disadvantages 1099 workers face.55:35–1:02:47 · Guest teaching 3/10 Talent Advantage of DAOs and Infrastructure for Fractional Work The group discusses how DAOs enable fractional work with ownership. Greg provides a real-world counterexample of burnout from token speculation, while Sahil outlines the missing operating system software needed for fractional employment.1:02:48–1:10:26 · Guest teaching 3/10 Standing Out, 3D Creation, and Long-Tail Commerce Belsky predicts 3D creation and long-tail artisan commerce will expand. Sahil pushes back with the tension between power-law platform dynamics and long-tail survival.1:10:27–1:15:46 · Guest teaching 0/10 Concluding the Interview with Scott Belsky Greg and Sahil wrap up with Belsky and debrief in post-show analysis, reviewing the key venture ideas generated during the conversation.0:00–2:01 · Guest disagreement 0/10 Catching Up and Defining Variant Perception for 2022 Greg and Sahil introduce the show and discuss goal-setting and variant perception for the upcoming year. The conversation is collaborative and conversational with no adversarial dynamic.2:02–4:17 · Guest disagreement 2/10 Contrarian Predictions on Remote Work vs. In-Person Culture Sahil offers a contrarian take that remote work will swing back to in-person, while Greg pushes back using his experience running remote companies since 2014 to argue remote tech is here to stay with periodic in-person summits.4:18–6:31 · Guest disagreement 0/10 Introducing Scott Belsky and Industry Debates The hosts set up the interview with Scott Belsky, citing recent Web3 skepticism from tech leaders Aaron Levie and Brian Chesky to frame the upcoming discussion.6:34–10:24 · Guest disagreement 0/10 Sponsor Spotlight: Capchase and Commonstock Mid-roll advertisement reads for Capchase and Commonstock.10:25–13:02 · Guest disagreement 0/10 Scott Belsky’s Note-Taking and Synthesis Process Scott Belsky explains his multi-year note capture system in Notion and his synthesis framework for forecasting trends, offering practical methodology to the hosts.13:02–18:48 · Guest disagreement 2/10 The Web3 Debate: Speed vs. Autonomy and Ownership Greg asks how to reconcile Aaron Levie and Brian Chesky dismissing Web3. Belsky reframes the critique by explaining that consumers routinely trade raw performance/speed for autonomy, ownership, and collaboration, drawing parallels to Photoshop moving to the web.18:49–26:02 · Guest disagreement 1/10 Prediction: Recommendations Kill Favorites Belsky explains why algorithmic recommendations will replace static favorite lists. Greg pushes back by asking whether algorithmic curation destroys the sentimental emotional connection of human-made playlists.26:04–32:14 · Guest disagreement 1/10 Shifting From Disruptive Ads to Opt-In Personalization Belsky argues people will opt into hyper-personalized experiences. Greg validates this with StumbleUpon's paid discovery model, while Sahil expresses dystopian concerns about emotional targeting.32:14–40:03 · Guest disagreement 1/10 Brainstorming a Universal Preference Profile Platform The hosts and Belsky collaboratively brainstorm a universal consumer preference API. Greg and Sahil drill into go-to-market monetization, token incentives, and starting with a Web2 MVP.40:04–48:15 · Guest disagreement 1/10 The Financialization of Participation and Web3 Wikipedia Belsky reflects on the financialization of user participation and whether Wikipedia would improve with tokenized contributor incentives. Greg and Sahil explore gamification mechanics.48:15–55:33 · Guest disagreement 1/10 The Rise of Polygamous Careers and Creative Work Belsky introduces the concept of polygamous careers, arguing creativity is the new productivity and specialization leads to stagnation. Sahil reinforces this with the tax and credit disadvantages 1099 workers face.55:35–1:02:47 · Guest disagreement 1/10 Talent Advantage of DAOs and Infrastructure for Fractional Work The group discusses how DAOs enable fractional work with ownership. Greg provides a real-world counterexample of burnout from token speculation, while Sahil outlines the missing operating system software needed for fractional employment.1:02:48–1:10:26 · Guest disagreement 1/10 Standing Out, 3D Creation, and Long-Tail Commerce Belsky predicts 3D creation and long-tail artisan commerce will expand. Sahil pushes back with the tension between power-law platform dynamics and long-tail survival.1:10:27–1:15:46 · Guest disagreement 0/10 Concluding the Interview with Scott Belsky Greg and Sahil wrap up with Belsky and debrief in post-show analysis, reviewing the key venture ideas generated during the conversation.0:00–2:01 · Greg pushing back 1/10 Catching Up and Defining Variant Perception for 2022 Greg and Sahil introduce the show and discuss goal-setting and variant perception for the upcoming year. The conversation is collaborative and conversational with no adversarial dynamic.2:02–4:17 · Greg pushing back 3/10 Contrarian Predictions on Remote Work vs. In-Person Culture Sahil offers a contrarian take that remote work will swing back to in-person, while Greg pushes back using his experience running remote companies since 2014 to argue remote tech is here to stay with periodic in-person summits.4:18–6:31 · Greg pushing back 1/10 Introducing Scott Belsky and Industry Debates The hosts set up the interview with Scott Belsky, citing recent Web3 skepticism from tech leaders Aaron Levie and Brian Chesky to frame the upcoming discussion.6:34–10:24 · Greg pushing back 0/10 Sponsor Spotlight: Capchase and Commonstock Mid-roll advertisement reads for Capchase and Commonstock.10:25–13:02 · Greg pushing back 0/10 Scott Belsky’s Note-Taking and Synthesis Process Scott Belsky explains his multi-year note capture system in Notion and his synthesis framework for forecasting trends, offering practical methodology to the hosts.13:02–18:48 · Greg pushing back 2/10 The Web3 Debate: Speed vs. Autonomy and Ownership Greg asks how to reconcile Aaron Levie and Brian Chesky dismissing Web3. Belsky reframes the critique by explaining that consumers routinely trade raw performance/speed for autonomy, ownership, and collaboration, drawing parallels to Photoshop moving to the web.18:49–26:02 · Greg pushing back 3/10 Prediction: Recommendations Kill Favorites Belsky explains why algorithmic recommendations will replace static favorite lists. Greg pushes back by asking whether algorithmic curation destroys the sentimental emotional connection of human-made playlists.26:04–32:14 · Greg pushing back 3/10 Shifting From Disruptive Ads to Opt-In Personalization Belsky argues people will opt into hyper-personalized experiences. Greg validates this with StumbleUpon's paid discovery model, while Sahil expresses dystopian concerns about emotional targeting.32:14–40:03 · Greg pushing back 2/10 Brainstorming a Universal Preference Profile Platform The hosts and Belsky collaboratively brainstorm a universal consumer preference API. Greg and Sahil drill into go-to-market monetization, token incentives, and starting with a Web2 MVP.40:04–48:15 · Greg pushing back 1/10 The Financialization of Participation and Web3 Wikipedia Belsky reflects on the financialization of user participation and whether Wikipedia would improve with tokenized contributor incentives. Greg and Sahil explore gamification mechanics.48:15–55:33 · Greg pushing back 1/10 The Rise of Polygamous Careers and Creative Work Belsky introduces the concept of polygamous careers, arguing creativity is the new productivity and specialization leads to stagnation. Sahil reinforces this with the tax and credit disadvantages 1099 workers face.55:35–1:02:47 · Greg pushing back 2/10 Talent Advantage of DAOs and Infrastructure for Fractional Work The group discusses how DAOs enable fractional work with ownership. Greg provides a real-world counterexample of burnout from token speculation, while Sahil outlines the missing operating system software needed for fractional employment.1:02:48–1:10:26 · Greg pushing back 3/10 Standing Out, 3D Creation, and Long-Tail Commerce Belsky predicts 3D creation and long-tail artisan commerce will expand. Sahil pushes back with the tension between power-law platform dynamics and long-tail survival.1:10:27–1:15:46 · Greg pushing back 0/10 Concluding the Interview with Scott Belsky Greg and Sahil wrap up with Belsky and debrief in post-show analysis, reviewing the key venture ideas generated during the conversation.

speaking balance: gold is Greg, purple is the guest (3 minute bins)

0:00 · Greg 9.4% · guest 90.6%0:00 · Greg 9.4% · guest 90.6%3:00 · Greg 51.2% · guest 48.8%3:00 · Greg 51.2% · guest 48.8%6:00 · Greg 17.7% · guest 82.3%6:00 · Greg 17.7% · guest 82.3%9:00 · Greg 0% · guest 100%9:00 · Greg 0% · guest 100%12:00 · Greg 22.9% · guest 77.1%12:00 · Greg 22.9% · guest 77.1%15:00 · Greg 0% · guest 100%15:00 · Greg 0% · guest 100%18:00 · Greg 0.2% · guest 99.8%18:00 · Greg 0.2% · guest 99.8%21:00 · Greg 32.3% · guest 67.7%21:00 · Greg 32.3% · guest 67.7%24:00 · Greg 0.3% · guest 99.7%24:00 · Greg 0.3% · guest 99.7%27:00 · Greg 43.8% · guest 56.2%27:00 · Greg 43.8% · guest 56.2%30:00 · Greg 0% · guest 100%30:00 · Greg 0% · guest 100%33:00 · Greg 18.3% · guest 81.7%33:00 · Greg 18.3% · guest 81.7%36:00 · Greg 37.5% · guest 62.5%36:00 · Greg 37.5% · guest 62.5%39:00 · Greg 23.6% · guest 76.4%39:00 · Greg 23.6% · guest 76.4%42:00 · Greg 14.6% · guest 85.4%42:00 · Greg 14.6% · guest 85.4%45:00 · Greg 17.6% · guest 82.4%45:00 · Greg 17.6% · guest 82.4%48:00 · Greg 0% · guest 100%48:00 · Greg 0% · guest 100%51:00 · Greg 0% · guest 100%51:00 · Greg 0% · guest 100%54:00 · Greg 9.4% · guest 90.6%54:00 · Greg 9.4% · guest 90.6%57:00 · Greg 68.3% · guest 31.7%57:00 · Greg 68.3% · guest 31.7%1:00:00 · Greg 6.7% · guest 93.3%1:00:00 · Greg 6.7% · guest 93.3%1:03:00 · Greg 23.4% · guest 76.6%1:03:00 · Greg 23.4% · guest 76.6%1:06:00 · Greg 0% · guest 100%1:06:00 · Greg 0% · guest 100%1:09:00 · Greg 17.6% · guest 82.4%1:09:00 · Greg 17.6% · guest 82.4%1:12:00 · Greg 26.1% · guest 73.9%1:12:00 · Greg 26.1% · guest 73.9%1:15:00 · Greg 17.4% · guest 82.6%1:15:00 · Greg 17.4% · guest 82.6%
Sharpest disagreement ▶ 13:38 Rejecting conventional speed-first software metrics

Belsky directly counters Aaron Levie's critique that Web3's friction makes it unviable, arguing consumers will happily trade performance for autonomy and ownership.

Hardest push from Greg ▶ 21:12 Greg challenging the loss of emotional human curation

Greg refuses the pure efficiency framing of algorithmic recommendations, asking if AI destroys the personal connection embedded in human-curated music.

Biggest teaching moment ▶ 13:45 Historical lesson from Behance and web-based creative tools

Belsky educates the hosts on how software orthodoxy was proven wrong when professionals traded desktop precision for multiplayer web collaboration with Figma and Photoshop.

Greg holds their own ▶ 27:44 Greg citing StumbleUpon's paid discovery architecture

Greg brings his firsthand operational domain expertise from building StumbleUpon to explain how non-interruptive native discovery preceded modern Instagram ad formats.

the scores for every segment, with the reasoning behind each
ChapterTopicGreg as informed peerGuest teachingGuest disagreementGreg pushing backWhy
Catching Up and Defining Variant Perception for 2022 4001 Greg and Sahil introduce the show and discuss goal-setting and variant perception for the upcoming year. The conversation is collaborative and conversational with no adversarial dynamic.
Contrarian Predictions on Remote Work vs. In-Person Culture 5123 Sahil offers a contrarian take that remote work will swing back to in-person, while Greg pushes back using his experience running remote companies since 2014 to argue remote tech is here to stay with periodic in-person summits.
Introducing Scott Belsky and Industry Debates 4001 The hosts set up the interview with Scott Belsky, citing recent Web3 skepticism from tech leaders Aaron Levie and Brian Chesky to frame the upcoming discussion.
Sponsor Spotlight: Capchase and Commonstock 0000 Mid-roll advertisement reads for Capchase and Commonstock.
Scott Belsky’s Note-Taking and Synthesis Process 2400 Scott Belsky explains his multi-year note capture system in Notion and his synthesis framework for forecasting trends, offering practical methodology to the hosts.
The Web3 Debate: Speed vs. Autonomy and Ownership 4622 Greg asks how to reconcile Aaron Levie and Brian Chesky dismissing Web3. Belsky reframes the critique by explaining that consumers routinely trade raw performance/speed for autonomy, ownership, and collaboration, drawing parallels to Photoshop moving to the web.
Prediction: Recommendations Kill Favorites 4313 Belsky explains why algorithmic recommendations will replace static favorite lists. Greg pushes back by asking whether algorithmic curation destroys the sentimental emotional connection of human-made playlists.
Shifting From Disruptive Ads to Opt-In Personalization 5313 Belsky argues people will opt into hyper-personalized experiences. Greg validates this with StumbleUpon's paid discovery model, while Sahil expresses dystopian concerns about emotional targeting.
Brainstorming a Universal Preference Profile Platform 6212 The hosts and Belsky collaboratively brainstorm a universal consumer preference API. Greg and Sahil drill into go-to-market monetization, token incentives, and starting with a Web2 MVP.
The Financialization of Participation and Web3 Wikipedia 4411 Belsky reflects on the financialization of user participation and whether Wikipedia would improve with tokenized contributor incentives. Greg and Sahil explore gamification mechanics.
The Rise of Polygamous Careers and Creative Work 4511 Belsky introduces the concept of polygamous careers, arguing creativity is the new productivity and specialization leads to stagnation. Sahil reinforces this with the tax and credit disadvantages 1099 workers face.
Talent Advantage of DAOs and Infrastructure for Fractional Work 5312 The group discusses how DAOs enable fractional work with ownership. Greg provides a real-world counterexample of burnout from token speculation, while Sahil outlines the missing operating system software needed for fractional employment.
Standing Out, 3D Creation, and Long-Tail Commerce 5313 Belsky predicts 3D creation and long-tail artisan commerce will expand. Sahil pushes back with the tension between power-law platform dynamics and long-tail survival.
Concluding the Interview with Scott Belsky 3000 Greg and Sahil wrap up with Belsky and debrief in post-show analysis, reviewing the key venture ideas generated during the conversation.

Statements from this episode (16)

Prediction Not checkable as stated
Bloom predicts many tech jobs will return to being in-person
“I think that a lot of tech jobs are going to go back to being in person versus this, like, you know, assumption that everything is going to be a remote forever.”
Sahil Bloom Jan 11, 2022 ▶ 2:21
Prediction Not checkable as stated
Isenberg predicts remote companies will replace offices with monthly or quarterly summits
“I think what you're going to see is a ton of like summits, like late checkout, we're a remote company. There's 50 team members. Like what, how do we do a summit every month, three months, whatever, in different cool places that we can come together and get fac…”
Greg Isenberg Jan 11, 2022 ▶ 3:31
Assertion Contradicted
Isenberg: Aaron Levie and Brian Chesky privately consider Web3 a sham
“You know, and we were talking about this earlier, like Aaron Aaron Levy and Brian Chesky were, are kind of talking about how web three is, you know, basically a sham. That's basically what they're saying.”
Greg Isenberg Jan 11, 2022 ▶ 5:54
Prediction Not checkable as stated
Belsky predicts centralized and hybrid services will ultimately win in Web3
“In, in many cases, centralized services will win or hybrid, you know, decentralized by ethos, but centralized to some extent by like certain aspects of the user experience, you know, I think are maybe going to ultimately win”
Scott Belsky Jan 11, 2022 ▶ 17:41
Opinion
Bloom: Consumers do not care about privacy enough to sacrifice functionality
“One of my like general hot takes is that people don't actually care that much about privacy or like the average person doesn't really care that much about privacy and won't be willing to actually pay for it with worse functionality.”
Sahil Bloom Jan 11, 2022 ▶ 18:17
Prediction Not checkable as stated
Belsky: AI recommendations will cause consumers to abandon the concept of favorites
“And so, you know, that for music, that for travel, that for restaurants, that for whatever, like, maybe we're all gonna vastly increase the surface area of our exposure to stuff we like, and in some ways, like, abandon the concept of favorites altogether.”
Scott Belsky Jan 11, 2022 ▶ 20:56
Prediction Not checkable as stated
Bloom: Passive AI recommendations will actively increase overall societal happiness
“And part of me thinks that there's actually like a increase in overall societal happiness from having things that we love surface to us without us actually doing it. And this is like an unlock for that. If you actually have AI that suddenly is able to, maybe n…”
Sahil Bloom Jan 11, 2022 ▶ 23:45
Prediction Not checkable as stated
Belsky predicts consumers will voluntarily opt back into brand tracking for AR
“We want to have experiences with brands where they know who we are. I think we're going to start opting back in. And I think especially in the world of AR, you know, where we have immersive experiences around us, we're going to want to be known everywhere we a…”
Scott Belsky Jan 11, 2022 ▶ 27:26
Insight
Isenberg: Founders should MVP 90% of Web3 ideas in Web2 first
“90% of web three ideas, MVP it in web two and just learn. And then if you can add a web three component, once you've understand the problem set a lot better, I think that makes a lot more sense just cause it's harder to build on web three.”
Greg Isenberg Jan 11, 2022 ▶ 39:48
Insight
Belsky argues Wikipedia is the closest existing model to a DAO
“It's like a nonprofit, you know, it's the closest thing to a DAO that we basically have today. In the sense that it's communally governed and it's owned by no one essentially.”
Scott Belsky Jan 11, 2022 ▶ 42:27
Assertion Supported
Bloom: Alexis Ohanian’s VC firm uses internal software Cerebro to gamify value-add
“Alexis Ohanian has at seven, seven, six, they have this internal proprietary software they built out called Cerebro. I think it's called like Star Trek reference that manages like all of their internal stuff. And one of the portals is this like value add, like…”
Sahil Bloom Jan 11, 2022 ▶ 47:19
Insight
Belsky: Creativity is the new productivity as automation commoditizes mere speed
“Creativity is the new productivity. You know, we're going to stand out increasingly in our work. And on social media and on any other thing that's, you know, amplifying our opportunity stream through our creativity, you know, it's not about doing things faster…”
Scott Belsky Jan 11, 2022 ▶ 52:28
Insight
Bloom: Outdated financial infrastructure effectively penalizes 1099 contractors compared to W-2s
“10 99 income is effectively taxed at a much higher rate than w two, not in the sense of like an actual tax rate, but in the sense that you can't go get leverage on it. Good luck getting a mortgage with a bunch of 10 on income. If you have a million dollars of …”
Sahil Bloom Jan 11, 2022 ▶ 53:59
Prediction Not checkable as stated
Isenberg predicts DAO token incentives will cause severe contributor burnout
“I think there's gonna be a subset of people who are gonna be contributing to DAOs who are gonna be unable to basically take a step back and be like, okay, I need to go eat with my family. I need to take a shower, et cetera. And that's scary.”
Greg Isenberg Jan 11, 2022 ▶ 59:31
Prediction Not checkable as stated
Belsky predicts 3D creation will democratize and go mainstream like mobile photography
“Same exact thing's gonna happen for three D. I'm like wholly convinced that that's the case.”
Scott Belsky Jan 11, 2022 ▶ 1:04:13
Prediction Open · timeframe Jan 2032
Belsky predicts the number of small businesses will 10x by 2032
“And in 10 years from now, I think we're going to see probably 10 X the number of small businesses as there are today.”
Scott Belsky Jan 11, 2022 ▶ 1:06:24
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