Scott Galloway says OpenAI and Anthropic can't sustain their valuations, China is flooding the market with cheap AI to tank the US economy, and crime is plummeting nationally thanks to surveillance tech like Flock cameras.
The Prof G Pod with Scott Galloway
Scott Galloway says OpenAI and Anthropic can't sustain their valuations, China is flooding the market with cheap AI to tank the US economy, and crime is plummeting nationally thanks to surveillance tech like Flock cameras.
TL;DR
Scott Galloway tackles five listener questions on the Prof G Pod's Office Hours segment. He argues frontier AI labs like OpenAI and Anthropic cannot justify their current valuations [1] — Scott Galloway "Frontier AI labs like OpenAI and Anthropic are priced as if they'll dominate every market while everyone else loses money. That's not how m…" 08:08 , drawing a sharp analogy to Old Navy vs. Gap to explain how cheap open-weight models are disrupting premium AI [2] — Scott Galloway "The best business model in history is offering 80% of the premium product at 50% of the price — Old Navy did it to Gap, Southwest did it to…" 06:35 . He shares a candid, hilarious story about donating sperm at UCLA to pay tuition [3] — Scott Galloway "Scott Galloway put himself through junior year at UCLA as a sperm donor, earning $120 a week — and was their most in-demand donor because h…" 09:00 . On Flock license plate cameras, he contends falling crime rates prove the tech works, but institutions must earn public trust with strict privacy safeguards [4] — Scott Galloway "Nobody really distrusts Flock. They distrust the government agencies controlling the data. The technology is neutral; the problem is the ab…" 20:40 . The single most useful takeaway: always leverage a competing job offer to negotiate with your current employer before switching industries.
Scott Galloway answers listener questions on whether frontier AI labs can compete with cheaper open-weight models, his college stint as a sperm donor, Flock license plate cameras, taking a job at an online sports betting company, and what consulting firms look for in new hires.
The episode opens with back-to-back sponsor reads. Apollo is pitched as a bespoke financing partner for CEOs and CFOs seeking long-duration capital beyond off-the-shelf solutions. Yahoo Scout is presented as an AI research tool that condenses hours of searching into clear, trustworthy answers — with Scott lending a personal endorsement, noting Yahoo's personal finance page has been his homepage for roughly three decades.
Ina Garten reads a brief promo for her weekly podcast 'Happy Hour,' which features candid kitchen-table conversations with friends old and new. This week's guest is Julia Louis-Dreyfus; topics include attending a Paris fashion show together, hosting dinner parties, and Julia's Broadway debut in 'Other Desert Cities.' The segment positions Happy Hour as a lighthearted lifestyle companion, available Wednesdays on YouTube and major podcast platforms.
The episode's meatiest segment opens with Fred's question about whether frontier AI labs can survive the rise of powerful, free local models. Scott methodically layers the data: a UK AI Security Institute test found the gap between open-weight and frontier models narrowing, with Deepseek v4 Pro costing $0.30 per task against $12.50 for Claude Opus 4.5 — a 40x price difference. [1] — Scott Galloway "The price gap between open-weight and frontier AI models is staggering. Deepseek v4 Pro runs 30 cents per task. Claude Opus 4.5 runs $12.50…" 02:25 Only 3% of US households pay for AI, and OpenAI converts just 5% of its billion users to paid plans, signaling that enterprise — not consumer — is the real battleground. Anthropic's claimed 80%+ gross margins are demolished with a WeWork comparison: the Financial Times estimates real margins at 40-50% once training costs and partner revenue shares are included. Scott then delivers his sharpest analogy: open-weight models are doing to frontier AI what Old Navy did to Gap and Southwest did to Delta — 80% of the product at a fraction of the price. [2] — Scott Galloway "The best business model in history is offering 80% of the premium product at 50% of the price — Old Navy did it to Gap, Southwest did it to…" 06:35 The segment closes with a geopolitical grenade: China's incentive to subsidize cheap AI amounts to an AI-dumping strategy that could trigger a US market crash, given that 40% of the S&P 500 is tied to AI valuations. His verdict — frontier models cannot justify their current valuations — lands as a confident, data-backed conclusion.
Owen's question unlocks one of the episode's most entertaining detours. Scott immediately identifies with the situation — he funded his junior year at UCLA in 1985 through sperm donation, earning $120 a week. [1] — Scott Galloway "Scott Galloway put himself through junior year at UCLA as a sperm donor, earning $120 a week — and was their most in-demand donor because h…" 09:00 The story unfolds with vivid detail: a sports medicine clinic in Santa Monica, an IQ and personality test, a clinic administrator's theatrical horror at Scott admitting to occasional marijuana use ('That stuff kills sperm dead'), and a humiliating fainting episode during the venereal disease screening. Despite passing out, Scott was called back three times a week — far more than his more athletic friends — because the clinic told him he was tall and Jewish, the 'chocolate and peanut butter' of donor profiles. His mother eventually made him stop, worried about inadvertent sibling marriage among his potential offspring. For Owen, Scott's advice is measured: there's nothing inherently wrong with it, it helps people in need, but the decision hinges on personal and religious values. He notes the industry is more regulated now, and mentions a notification service where donors can optionally make contact with biological children — something he's considered but hasn't done, daunted by the potential scale.
The mid-episode break features three sponsor segments. Bilt pitches its rewards program for both renters and homeowners, allowing points earned on housing payments to be redeemed through travel partners including United Airlines and Hyatt. Pendulum promotes its Metabolic Daily probiotic, centred on the gut bacterium Akkermansia and backed by Harvard, Berkeley, and Stanford researchers, offering up to 48% off at pendulumlife.com/profg. Apollo closes the break with a second read emphasizing custom-made, investment-grade financing solutions for the world's leading companies.
James's question about Flock cameras prompts a structured, data-heavy segment. Scott opens with historical context: DHS distributed over $50 million in grants for ALPR systems between 2007 and 2012, and a third of large police agencies were already using them by 2010. Today Flock operates 120,000 cameras under contract with 7,000+ organizations, roughly 40% of US law enforcement. [1] — Scott Galloway "Every mayor is bragging about record-low crime, and most of them have nothing to do with it. License plate surveillance is making crime har…" 22:55 Scott acknowledges documented misuse — a Texas sheriff running a nationwide lookup to track a woman who had an abortion, an Indianapolis officer surveilling his own wife 4,000 times over 10 months — and notes that over 100 governments have already ended Flock contracts. But his overall position is strongly pro-Flock with conditions: the technology is neutral; the failure is institutional. HIPAA is held up as a model for stringent data-access controls. [2] — Scott Galloway "Nobody really distrusts Flock. They distrust the government agencies controlling the data. The technology is neutral; the problem is the ab…" 20:40 He then pivots to the upside that critics miss: crime is at historic lows across the US — in New York, in California — and he attributes it directly to surveillance making crime harder to commit undetected. The segment closes with a Russia comparison: Russia errs entirely toward security over privacy; America should err toward privacy while using these tools under strict legal safeguards.
James's dilemma is a classic capitalist trade-off: a lucrative offer from an industry he personally finds harmful. Scott starts with the numbers: US sports betting revenue hit $17 billion in 2025, up from $8 billion in 2022, with Americans wagering $167 billion legally on sports. [1] — Scott Galloway "Sports betting is now a $17 billion industry in the US, and the data is alarming. Bankruptcies spike 30% when gambling is legalized in a st…" 28:59 He flags the societal toll — bankruptcies rise 30% when gambling is legalized, and one in two men under 25 bet on the Super Bowl — and frames it as a genuine crisis, not just a business. His personal stance is clear: he sold his Meta stock because he believes the company is deliberately addictive, and he won't pretend online gambling is different. But he stops short of moralizing. His practical advice is shrewd: go back to your current employer, tell them about the offer, and see if they'll match it — companies rarely recognize talent until it's about to walk. [2] — Scott Galloway "US sports betting revenue: $17B in 2025: Sports betting raked in nearly $17 billion in gross gaming revenue in the US in 2025, up 23% from …" 28:59 If the current employer can't match it and James still wants to take the betting job, Scott's verdict is plain: it's legal, we live in a capitalist society, forgive yourself and do great work.
A brief sponsor break covers two products. Framer is pitched as an enterprise-grade AI website builder used by Perplexity and Miro, with agents and humans collaborating on the same canvas; listeners get 30% off a Pro plan at framer.com/propg. LinkedIn Ads follows, citing the 2026 DreamData Benchmark Report's finding that LinkedIn delivers the highest ROAS — 121% — among all major ad networks, with a $250 credit for new advertisers at linkedin.com/Scott.
Scott Galloway and Kara Swisher trade lines in a lively promo for Pivot's live tour, scheduled for November. Scott promises his signature blend of insight and 'dick jokes,' while Kara jokes she'll keep him in check — in person, on stage. The pair will cover AI developments, Washington's latest chaos, and misbehaving billionaires, with audience Q&A and a secret special guest at each city stop. Listeners are urged to get tickets at pivotour.com before shows sell out.
The final question comes from a Reddit user transitioning from 8 years of military service into an MBA consulting recruiting cycle. Scott describes the hiring philosophy at his firms: intellectual rigor, client presence, and — unglamorously — pedigree. He recalls giving candidates real consulting assignments (e.g., assess the launch risks for a hypothetical West Elm brand) as a filter for substance over polish. [1] — Scott Galloway "Data from Scott Galloway's firm L2 showed that top performers shared three traits no one will say out loud: they were disproportionately fe…" 36:05 The more revealing section is the L2 data: an internal analysis of the top 10% of performers uncovered three common traits. First, a disproportionate number were female — Scott cites research on prefrontal cortex maturation to explain higher business maturity in younger women. Second, they attended elite schools, and Scott defends this despite its unpopularity: a 4% admissions rate filters for either extreme wealth or extreme impressiveness, and most of those who get through are the latter. Third, they were athletes. A woman who was a gymnast from Yale was, in his words, an automatic hire. Scott closes by warning that interviews are easy to game, and urging recruiters to run candidates through practical work assignments before committing. Congratulations are extended to the Reddit poster for securing the MBA role.
Chapter 3 · 01:51
The episode's meatiest segment opens with Fred's question about whether frontier AI labs can survive the rise of powerful, free local models. Scott methodically layers the data: a UK AI Security Institute test found the gap between open-weight and frontier models narrowing, with Deepseek v4 Pro costing $0.30 per task against $12.50 for Claude Opus 4.5 — a 40x price difference. [1] — Scott Galloway "The price gap between open-weight and frontier AI models is staggering. Deepseek v4 Pro runs 30 cents per task. Claude Opus 4.5 runs $12.50…" 02:25 Only 3% of US households pay for AI, and OpenAI converts just 5% of its billion users to paid plans, signaling that enterprise — not consumer — is the real battleground. Anthropic's claimed 80%+ gross margins are demolished with a WeWork comparison: the Financial Times estimates real margins at 40-50% once training costs and partner revenue shares are included. Scott then delivers his sharpest analogy: open-weight models are doing to frontier AI what Old Navy did to Gap and Southwest did to Delta — 80% of the product at a fraction of the price. [2] — Scott Galloway "The best business model in history is offering 80% of the premium product at 50% of the price — Old Navy did it to Gap, Southwest did it to…" 06:35 The segment closes with a geopolitical grenade: China's incentive to subsidize cheap AI amounts to an AI-dumping strategy that could trigger a US market crash, given that 40% of the S&P 500 is tied to AI valuations. His verdict — frontier models cannot justify their current valuations — lands as a confident, data-backed conclusion.
The price gap between open-weight and frontier AI models is staggering. Deepseek v4 Pro runs 30 cents per task. Claude Opus 4.5 runs $12.50. That's a 40x difference — and the UK's AI Security Institute found the performance gap is narrowing.
On tasks both models completed reliably, the open-weight GLM 5.2 costs $6 per task versus $15 for Claude Opus 4.6, highlighting the price gap between open and frontier models.
Deepseek version 4 Pro costs about 30 cents per task versus $12.50 for Anthropic's Opus 4.5, a price difference of over 40x.
Bank of America found that only about 3% of US households paid for an AI subscription as of February, with adoption highest among households earning more than $125,000.
OpenAI reported 50 million paid subscribers against roughly 1 billion total users in June, meaning only about 5% were paying customers.
Anthropic reportedly tells investors its total addressable market is more than $30 trillion, a figure Scott Galloway dismissed as meaningless without context.
Anthropic claims 80%+ gross margins, but strips out model training costs and revenue share with partners. The Financial Times estimates the real number is 40–50%. It's WeWork math — profits before all the actual costs.
Anthropic has cited gross margins above 80%, but this figure excludes major expenses including model training costs and revenue share with partners, making it analogous to WeWork's adjusted EBITDA.
The best business model in history is offering 80% of the premium product at 50% of the price — Old Navy did it to Gap, Southwest did it to Delta, and now Chinese open-weight models are doing it to OpenAI. The value proposition is brutal.
China has every incentive to subsidize cheap AI to undercut US frontier labs. If OpenAI and Anthropic announce a growth slowdown, 40% of the S&P 500 gets torched — and that might be the point.
Frontier AI labs like OpenAI and Anthropic are priced as if they'll dominate every market while everyone else loses money. That's not how markets work, and cheap open-weight models are already proving it.
Chapter 4 · 08:55
Owen's question unlocks one of the episode's most entertaining detours. Scott immediately identifies with the situation — he funded his junior year at UCLA in 1985 through sperm donation, earning $120 a week. [1] — Scott Galloway "Scott Galloway put himself through junior year at UCLA as a sperm donor, earning $120 a week — and was their most in-demand donor because h…" 09:00 The story unfolds with vivid detail: a sports medicine clinic in Santa Monica, an IQ and personality test, a clinic administrator's theatrical horror at Scott admitting to occasional marijuana use ('That stuff kills sperm dead'), and a humiliating fainting episode during the venereal disease screening. Despite passing out, Scott was called back three times a week — far more than his more athletic friends — because the clinic told him he was tall and Jewish, the 'chocolate and peanut butter' of donor profiles. His mother eventually made him stop, worried about inadvertent sibling marriage among his potential offspring. For Owen, Scott's advice is measured: there's nothing inherently wrong with it, it helps people in need, but the decision hinges on personal and religious values. He notes the industry is more regulated now, and mentions a notification service where donors can optionally make contact with biological children — something he's considered but hasn't done, daunted by the potential scale.
Scott Galloway put himself through junior year at UCLA as a sperm donor, earning $120 a week — and was their most in-demand donor because he was tall and Jewish. The 'chocolate and peanut butter' of donor profiles, until his mom made him stop.
Scott Galloway earned $120 per week as a sperm donor at UCLA in 1985, which covered his room, board, and fraternity bill for the year.
Chapter 6 · 18:29
James's question about Flock cameras prompts a structured, data-heavy segment. Scott opens with historical context: DHS distributed over $50 million in grants for ALPR systems between 2007 and 2012, and a third of large police agencies were already using them by 2010. Today Flock operates 120,000 cameras under contract with 7,000+ organizations, roughly 40% of US law enforcement. [1] — Scott Galloway "Every mayor is bragging about record-low crime, and most of them have nothing to do with it. License plate surveillance is making crime har…" 22:55 Scott acknowledges documented misuse — a Texas sheriff running a nationwide lookup to track a woman who had an abortion, an Indianapolis officer surveilling his own wife 4,000 times over 10 months — and notes that over 100 governments have already ended Flock contracts. But his overall position is strongly pro-Flock with conditions: the technology is neutral; the failure is institutional. HIPAA is held up as a model for stringent data-access controls. [2] — Scott Galloway "Nobody really distrusts Flock. They distrust the government agencies controlling the data. The technology is neutral; the problem is the ab…" 20:40 He then pivots to the upside that critics miss: crime is at historic lows across the US — in New York, in California — and he attributes it directly to surveillance making crime harder to commit undetected. The segment closes with a Russia comparison: Russia errs entirely toward security over privacy; America should err toward privacy while using these tools under strict legal safeguards.
More than 7,000 organizations in the US have contracts with Flock, covering roughly 40% of US law enforcement, and the company operates roughly 120,000 cameras nationwide.
Flock's founder claimed the company's license plate cameras helped solve more than a million crimes in the past year across the US.
Nobody really distrusts Flock. They distrust the government agencies controlling the data. The technology is neutral; the problem is the absence of laws strong enough to prevent misuse — from tracking abortion seekers to surveilling a cop's own wife.
Every mayor is bragging about record-low crime, and most of them have nothing to do with it. License plate surveillance is making crime harder to get away with, and the data shows it's working — from New York to California.
Chapter 7 · 27:20
James's dilemma is a classic capitalist trade-off: a lucrative offer from an industry he personally finds harmful. Scott starts with the numbers: US sports betting revenue hit $17 billion in 2025, up from $8 billion in 2022, with Americans wagering $167 billion legally on sports. [1] — Scott Galloway "Sports betting is now a $17 billion industry in the US, and the data is alarming. Bankruptcies spike 30% when gambling is legalized in a st…" 28:59 He flags the societal toll — bankruptcies rise 30% when gambling is legalized, and one in two men under 25 bet on the Super Bowl — and frames it as a genuine crisis, not just a business. His personal stance is clear: he sold his Meta stock because he believes the company is deliberately addictive, and he won't pretend online gambling is different. But he stops short of moralizing. His practical advice is shrewd: go back to your current employer, tell them about the offer, and see if they'll match it — companies rarely recognize talent until it's about to walk. [2] — Scott Galloway "US sports betting revenue: $17B in 2025: Sports betting raked in nearly $17 billion in gross gaming revenue in the US in 2025, up 23% from …" 28:59 If the current employer can't match it and James still wants to take the betting job, Scott's verdict is plain: it's legal, we live in a capitalist society, forgive yourself and do great work.
Sports betting is now a $17 billion industry in the US, and the data is alarming. Bankruptcies spike 30% when gambling is legalized in a state. Half of men under 25 bet on the Super Bowl. This is a crisis, even if that word is overused.
Sports betting raked in nearly $17 billion in gross gaming revenue in the US in 2025, up 23% from 2024, more than double the $8 billion recorded in 2022.
North Carolina grew its sports betting revenue 34% after only two full years of operation, placing it in the top 10 states for sports betting revenue.
Americans legally wagered nearly $167 billion on sports in 2025, up 11% from the previous year, according to the American Gaming Association.
When gambling is legalized in a state, bankruptcies go up 30%, illustrating the societal costs Scott Galloway associates with the online gaming industry.
Half of American men under the age of 25 bet on the Super Bowl, according to a statistic cited by Scott Galloway as evidence of a gambling crisis among young men.
Young men are betting on crypto, sports, and social media flame wars instead of applying for jobs, approaching people, and starting businesses. That substitution is catastrophic. The fix is simple: take less risk online, more risk offline.
Before jumping to a sports betting company, go back to your current employer with the offer in hand. Companies rarely recognize your value until you're about to leave. Transparency and the truth have a nice ring to it — and you might get what you want without the moral compromise.
Chapter 9 · 34:23
Scott Galloway and Kara Swisher trade lines in a lively promo for Pivot's live tour, scheduled for November. Scott promises his signature blend of insight and 'dick jokes,' while Kara jokes she'll keep him in check — in person, on stage. The pair will cover AI developments, Washington's latest chaos, and misbehaving billionaires, with audience Q&A and a secret special guest at each city stop. Listeners are urged to get tickets at pivotour.com before shows sell out.
Scott Galloway's analysis at L2 found that 10% of employees added 120% of the value, while the remaining 90% were net-negative in terms of time and output.
Chapter 10 · 35:08
The final question comes from a Reddit user transitioning from 8 years of military service into an MBA consulting recruiting cycle. Scott describes the hiring philosophy at his firms: intellectual rigor, client presence, and — unglamorously — pedigree. He recalls giving candidates real consulting assignments (e.g., assess the launch risks for a hypothetical West Elm brand) as a filter for substance over polish. [1] — Scott Galloway "Data from Scott Galloway's firm L2 showed that top performers shared three traits no one will say out loud: they were disproportionately fe…" 36:05 The more revealing section is the L2 data: an internal analysis of the top 10% of performers uncovered three common traits. First, a disproportionate number were female — Scott cites research on prefrontal cortex maturation to explain higher business maturity in younger women. Second, they attended elite schools, and Scott defends this despite its unpopularity: a 4% admissions rate filters for either extreme wealth or extreme impressiveness, and most of those who get through are the latter. Third, they were athletes. A woman who was a gymnast from Yale was, in his words, an automatic hire. Scott closes by warning that interviews are easy to game, and urging recruiters to run candidates through practical work assignments before committing. Congratulations are extended to the Reddit poster for securing the MBA role.
Data from Scott Galloway's firm L2 showed that top performers shared three traits no one will say out loud: they were disproportionately female, attended elite schools, and had competed in sports. One example he cited: a gymnast from Yale was an automatic hire.
No indexed bits in this chapter.
The best business model in history is offering 80% of the premium product at 50% of the price — Old Navy did it to Gap, Southwest did it to Delta, and now Chinese open-weight models are doing it to OpenAI. The value proposition is brutal.
Scott Galloway put himself through junior year at UCLA as a sperm donor, earning $120 a week — and was their most in-demand donor because he was tall and Jewish. The 'chocolate and peanut butter' of donor profiles, until his mom made him stop.
This episode
Factual claims made this episode, and whether a source was named.
The UK AI Security Institute found in July that the performance gap between open-weight models and frontier models released 4-7 months earlier had narrowed since 2025.
GLM 5.2 costs $6 per task versus $15 for Claude Opus 4.6 on tasks both models complete reliably.
Deepseek version 4 Pro costs about $0.30 per task versus $12.50 for Claude Opus 4.5.
Bank of America found that only about 3% of US households paid for an AI subscription as of February, with adoption highest among households earning more than $125,000.
OpenAI reported 50 million paid subscribers in June, while estimates placed total users at approximately 1 billion, meaning roughly 5% were paying.
Anthropic reportedly tells investors its total addressable market is more than $30 trillion.
Anthropic has cited gross margins above 80%, but the Financial Times estimates its effective margin may be closer to 40-50% after including model training costs and partner revenue share.
From 2007 to 2012, the Department of Homeland Security distributed more than $50 million in federal grants to law enforcement for automated license plate recognition systems.
A 2010 study by the Center for Evidence-Based Crime Policy at George Mason University estimated that more than a third of large US police agencies used automated plate reading systems.
More than 7,000 organizations in the US have contracts with Flock Safety, representing roughly 40% of US law enforcement.
Flock Safety operates roughly 120,000 cameras nationwide, and its founder claimed the cameras helped solve more than a million crimes last year.
More than 100 governments in blue and red towns have paused or ended Flock contracts, according to opposition group Deflock.
US sports betting raked in nearly $17 billion in gross gaming revenue in 2025, up 23% from 2024, and more than double the $8 billion recorded in 2022.
Americans legally wagered nearly $167 billion on sports in 2025, up 11% from 2024.
When gambling is legalized in a state, bankruptcies go up 30%.
1 in 2 men under the age of 25 bet on the Super Bowl.
North Carolina grew its sports betting revenue 34% after only 2 full years of operation, placing it in the top 10 states.
A woman's prefrontal cortex matures before a man's, contributing to greater business maturity at a younger age.
This episode
Co-host of the Pivot podcast with Scott Galloway, mentioned in a cross-promotional segment for the Pivot live tour.
Described by Scott Galloway as arguably the best business mind of his generation, while also criticizing Meta's strategy of addicting young users.
US surveillance company operating 120,000 ALPR cameras contracted by ~40% of US law enforcement agencies; central to the privacy vs. crime-reduction debate.
Discussed as a frontier AI lab whose current valuation Scott Galloway believes is unsustainable given competition from cheap open-weight models.
Discussed as a frontier AI lab with reportedly misleading margin figures and an unsustainable valuation driven by enterprise AI ambitions.
Scott Galloway's former digital research and consulting firm, used as a case study for hiring practices and employee performance analysis.
A Chinese open-weight AI developer cited as a major competitive threat to US frontier labs due to dramatically lower per-task costs.
Scott Galloway called Meta a great investment and Zuckerberg the best business mind of his generation, but said he sold his stock due to the company's addictive product strategy.
Used by Scott Galloway as a business model analogy for open-weight AI: offering 80% of a premium product at 50% of the price.
Industry body whose annual commercial gaming revenue tracker was cited for US sports betting statistics.
Cited alongside Old Navy as an example of a company that dominated by delivering most of a premium competitor's value at a lower price point.
Cited as the source of data showing only 3% of US households paid for an AI subscription as of February.
Cited as estimating Anthropic's effective gross margin at 40-50%, significantly lower than the company's claimed 80%+.
Cited as the institution behind a 2010 study estimating that more than a third of large US police agencies use automated license plate reading systems.
One of 20+ companies that co-signed an open letter warning Washington against premature restrictions on open-weight AI models.
One of 20+ companies that co-signed an open letter warning Washington against premature restrictions on open-weight AI models.
A consulting firm previously run by Scott Galloway, mentioned in the context of his hiring philosophy.
Cited as the source of a July test comparing open-weight models to frontier models, finding a narrowing performance gap.
Scott Galloway noted that approximately 40% of the S&P 500 is directly tied to AI prospects, making it vulnerable to a Chinese AI-dumping strategy.
University where Scott Galloway attended and worked as a sperm donor to fund his junior year tuition.
Stats
We use essential and analytics cookies to run Vuci. To understand how the site is used: Privacy Policy.
Install Vuci on your phone
Add it to your home screen for a faster, app-like experience.
Install Vuci on your phone
Tap the Share button, then “Add to Home Screen”.
A new version is available
Reload to get the latest Vuci.