Mar 2, 2026 · 1h 13m · capital-allocators

Gavin Baker – Truth-Seeking and Crossover Investing at Atreides (EP.489)

Gavin Baker · 53m spoken Ted Seides · 10m spoken Eric Seides · 53s spoken
0:00 / 0:00

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this in-depth interview with Ted Seides, Atreides Management CIO Gavin Baker reflects on his formative influences, emotional discipline, and the truth-seeking crossover investment strategy that positions his firm at the forefront of the artificial intelligence revolution.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Ted holds 16.7% of the talking time here. How this is scored →

Ted as informed peer 3.5 Guest teaching 3.4 Guest disagreement 2.0 Ted pushing back 0.5
05100:0015:0030:0045:001:00:002:25–7:17 · Ted as informed peer 1/10 Spread the Word: Eric Seides Anecdote Host intro and humorous cameo from Eric Seides about sharing the podcast with friends and dads. No substantive market or debate content.7:19–9:42 · Ted as informed peer 2/10 Childhood Influences, Competition, and Intellectual Curiosity Ted opens with a broad biographical inquiry into Gavin's childhood. Gavin shares personal anecdotes about D&D, chess, Stratego, and finding an outlet for competitiveness in tennis.9:43–13:01 · Ted as informed peer 3/10 Unconventional Learning and Serendipity to Dartmouth Ted asks how Gavin learned to learn despite poor traditional grades. Gavin details his military tech fixation and the serendipitous bullying intervention that landed him at Dartmouth.13:02–18:12 · Ted as informed peer 3/10 Accidental Entry into Finance and Early Mentorship Gavin describes his transition from aspiring rock climber and ski bum to finance intern at DLJ and his recruitment by Fidelity. Ted mostly listens to the narrative.18:13–22:29 · Ted as informed peer 4/10 Fidelity's Meritocracy and Formative Investment Lessons Gavin explains Fidelity's radical early-career independence and meritocratic culture. He recounts Joel Tillinghast teaching him how value investors evaluate normalized earnings despite cyclical drop-offs.22:30–26:02 · Ted as informed peer 4/10 Core Influences: Doing Primary Work and Bayesian Updating Ted asks about the philosophy matching Gavin's disposition. Gavin details primary research lessons from Steve Wymer, Bayesian updating, and doubling down late on 52-week lows.26:02–28:56 · Ted as informed peer 5/10 Growth vs. Value and Valuation Realities Ted asks where Gavin lands on the growth versus value spectrum. Gavin emphatically debunks the growth versus value dichotomy, arguing all investing is valuation-sensitive DCFs and critiquing why fundamental value alpha decayed against quants.28:56–32:27 · Ted as informed peer 4/10 Venture Origins and Launching Atreides Ted asks about the transition from Fidelity to starting Atreides. Gavin describes early venture deals at CES, backing Roku across multiple rounds, and recognizing the crossover advantage.32:27–35:06 · Ted as informed peer 4/10 Hiring Principles and Cultivating Intellectual Honesty Ted inquires into hiring practices. Gavin details why he screens for competitive experience, intellectual curiosity, and the crucial ability to be rational and dispassionate when wrong.35:08–39:20 · Ted as informed peer 3/10 Sponsor Break: Ridgeline AI Platform Following a mid-roll sponsor ad, Gavin explains instituting hypotheses rather than theses at Atreides so analysts focus on falsification and constructive disagreement without ego.39:21–43:26 · Ted as informed peer 4/10 Process vs. Talent and Kaizen Execution Ted asks how Gavin thinks about edge and proprietary insights. Gavin pushes back hard against the allocator obsession with repeatable process, citing Jerry Krause and Michael Jordan to argue individual talent drives outsized alpha.43:26–47:15 · Ted as informed peer 4/10 Quantitative Risk Management and Shorting Dynamics Ted asks how Atreides manages shorting and liquid portfolio levers. Gavin explains receiving quant risk mentorship at age 25 after an early drawdown and outlines managing LLCC (liquidity, leverage, concentration, crowding) and basis risk.47:16–51:49 · Ted as informed peer 6/10 Position Sizing, Turnover, and Pod Shop Mechanics Ted probes whether long or short drives the book, position sizing tranches, and then pushes back on Gavin's star-talent premise against multi-manager pod shops. Gavin argues turnover is driven by volatility rather than time horizon.51:49–54:48 · Ted as informed peer 4/10 Crossover Synergies and the AI Revolution Ted asks where crossover synergies matter most. Gavin explains that AI is the first major tech transition where competitors at every layer of the stack (models, semis, applications) are simultaneously public and private.54:49–1:00:50 · Ted as informed peer 4/10 Private Market Sourcing and Founder Partnerships Ted asks how Atreides competes for deals against heavily resourced VCs. Gavin dismisses most VC operational value-add and wise advice as overstated, arguing crossover duration and public market prep provide true utility.1:00:50–1:05:49 · Ted as informed peer 4/10 Risk Management and Governance in Private Investing Gavin discusses managing risk in private markets through trust-but-verify and long-term relationships, followed by using X/Twitter for crowdsourcing tech insights and pressure testing research.1:05:49–1:07:53 · Ted as informed peer 3/10 Work-Life Integration and Competitive Drive Ted asks how Gavin manages his time across fast-moving tech sectors. Gavin explains his full work-life integration, citing Djokovic's love of hitting the ball and tap dancing into work.1:07:54–1:10:52 · Ted as informed peer 2/10 Closing Questions: Fantasy Football, Influences, and Ikigai Rapid-fire closing questions covering fantasy football edge, primary career mentors (Wymer, Danoff, Urick, Gracias), and applying the concept of ikigai to asset management scale.1:10:54–1:12:53 · Ted as informed peer 3/10 The Next Chapter: Peak Performance and Atreides Horizon Ted asks about the next five-year chapter. Gavin expresses excitement about entering peak performance years (ages 50 to 70), closing the execution gap, and compounding during the multi-decade AI cycle.2:25–7:17 · Guest teaching 0/10 Spread the Word: Eric Seides Anecdote Host intro and humorous cameo from Eric Seides about sharing the podcast with friends and dads. No substantive market or debate content.7:19–9:42 · Guest teaching 2/10 Childhood Influences, Competition, and Intellectual Curiosity Ted opens with a broad biographical inquiry into Gavin's childhood. Gavin shares personal anecdotes about D&D, chess, Stratego, and finding an outlet for competitiveness in tennis.9:43–13:01 · Guest teaching 2/10 Unconventional Learning and Serendipity to Dartmouth Ted asks how Gavin learned to learn despite poor traditional grades. Gavin details his military tech fixation and the serendipitous bullying intervention that landed him at Dartmouth.13:02–18:12 · Guest teaching 3/10 Accidental Entry into Finance and Early Mentorship Gavin describes his transition from aspiring rock climber and ski bum to finance intern at DLJ and his recruitment by Fidelity. Ted mostly listens to the narrative.18:13–22:29 · Guest teaching 4/10 Fidelity's Meritocracy and Formative Investment Lessons Gavin explains Fidelity's radical early-career independence and meritocratic culture. He recounts Joel Tillinghast teaching him how value investors evaluate normalized earnings despite cyclical drop-offs.22:30–26:02 · Guest teaching 4/10 Core Influences: Doing Primary Work and Bayesian Updating Ted asks about the philosophy matching Gavin's disposition. Gavin details primary research lessons from Steve Wymer, Bayesian updating, and doubling down late on 52-week lows.26:02–28:56 · Guest teaching 6/10 Growth vs. Value and Valuation Realities Ted asks where Gavin lands on the growth versus value spectrum. Gavin emphatically debunks the growth versus value dichotomy, arguing all investing is valuation-sensitive DCFs and critiquing why fundamental value alpha decayed against quants.28:56–32:27 · Guest teaching 3/10 Venture Origins and Launching Atreides Ted asks about the transition from Fidelity to starting Atreides. Gavin describes early venture deals at CES, backing Roku across multiple rounds, and recognizing the crossover advantage.32:27–35:06 · Guest teaching 4/10 Hiring Principles and Cultivating Intellectual Honesty Ted inquires into hiring practices. Gavin details why he screens for competitive experience, intellectual curiosity, and the crucial ability to be rational and dispassionate when wrong.35:08–39:20 · Guest teaching 3/10 Sponsor Break: Ridgeline AI Platform Following a mid-roll sponsor ad, Gavin explains instituting hypotheses rather than theses at Atreides so analysts focus on falsification and constructive disagreement without ego.39:21–43:26 · Guest teaching 5/10 Process vs. Talent and Kaizen Execution Ted asks how Gavin thinks about edge and proprietary insights. Gavin pushes back hard against the allocator obsession with repeatable process, citing Jerry Krause and Michael Jordan to argue individual talent drives outsized alpha.43:26–47:15 · Guest teaching 4/10 Quantitative Risk Management and Shorting Dynamics Ted asks how Atreides manages shorting and liquid portfolio levers. Gavin explains receiving quant risk mentorship at age 25 after an early drawdown and outlines managing LLCC (liquidity, leverage, concentration, crowding) and basis risk.47:16–51:49 · Guest teaching 5/10 Position Sizing, Turnover, and Pod Shop Mechanics Ted probes whether long or short drives the book, position sizing tranches, and then pushes back on Gavin's star-talent premise against multi-manager pod shops. Gavin argues turnover is driven by volatility rather than time horizon.51:49–54:48 · Guest teaching 4/10 Crossover Synergies and the AI Revolution Ted asks where crossover synergies matter most. Gavin explains that AI is the first major tech transition where competitors at every layer of the stack (models, semis, applications) are simultaneously public and private.54:49–1:00:50 · Guest teaching 4/10 Private Market Sourcing and Founder Partnerships Ted asks how Atreides competes for deals against heavily resourced VCs. Gavin dismisses most VC operational value-add and wise advice as overstated, arguing crossover duration and public market prep provide true utility.1:00:50–1:05:49 · Guest teaching 4/10 Risk Management and Governance in Private Investing Gavin discusses managing risk in private markets through trust-but-verify and long-term relationships, followed by using X/Twitter for crowdsourcing tech insights and pressure testing research.1:05:49–1:07:53 · Guest teaching 2/10 Work-Life Integration and Competitive Drive Ted asks how Gavin manages his time across fast-moving tech sectors. Gavin explains his full work-life integration, citing Djokovic's love of hitting the ball and tap dancing into work.1:07:54–1:10:52 · Guest teaching 2/10 Closing Questions: Fantasy Football, Influences, and Ikigai Rapid-fire closing questions covering fantasy football edge, primary career mentors (Wymer, Danoff, Urick, Gracias), and applying the concept of ikigai to asset management scale.1:10:54–1:12:53 · Guest teaching 3/10 The Next Chapter: Peak Performance and Atreides Horizon Ted asks about the next five-year chapter. Gavin expresses excitement about entering peak performance years (ages 50 to 70), closing the execution gap, and compounding during the multi-decade AI cycle.2:25–7:17 · Guest disagreement 0/10 Spread the Word: Eric Seides Anecdote Host intro and humorous cameo from Eric Seides about sharing the podcast with friends and dads. No substantive market or debate content.7:19–9:42 · Guest disagreement 1/10 Childhood Influences, Competition, and Intellectual Curiosity Ted opens with a broad biographical inquiry into Gavin's childhood. Gavin shares personal anecdotes about D&D, chess, Stratego, and finding an outlet for competitiveness in tennis.9:43–13:01 · Guest disagreement 1/10 Unconventional Learning and Serendipity to Dartmouth Ted asks how Gavin learned to learn despite poor traditional grades. Gavin details his military tech fixation and the serendipitous bullying intervention that landed him at Dartmouth.13:02–18:12 · Guest disagreement 1/10 Accidental Entry into Finance and Early Mentorship Gavin describes his transition from aspiring rock climber and ski bum to finance intern at DLJ and his recruitment by Fidelity. Ted mostly listens to the narrative.18:13–22:29 · Guest disagreement 2/10 Fidelity's Meritocracy and Formative Investment Lessons Gavin explains Fidelity's radical early-career independence and meritocratic culture. He recounts Joel Tillinghast teaching him how value investors evaluate normalized earnings despite cyclical drop-offs.22:30–26:02 · Guest disagreement 2/10 Core Influences: Doing Primary Work and Bayesian Updating Ted asks about the philosophy matching Gavin's disposition. Gavin details primary research lessons from Steve Wymer, Bayesian updating, and doubling down late on 52-week lows.26:02–28:56 · Guest disagreement 4/10 Growth vs. Value and Valuation Realities Ted asks where Gavin lands on the growth versus value spectrum. Gavin emphatically debunks the growth versus value dichotomy, arguing all investing is valuation-sensitive DCFs and critiquing why fundamental value alpha decayed against quants.28:56–32:27 · Guest disagreement 1/10 Venture Origins and Launching Atreides Ted asks about the transition from Fidelity to starting Atreides. Gavin describes early venture deals at CES, backing Roku across multiple rounds, and recognizing the crossover advantage.32:27–35:06 · Guest disagreement 2/10 Hiring Principles and Cultivating Intellectual Honesty Ted inquires into hiring practices. Gavin details why he screens for competitive experience, intellectual curiosity, and the crucial ability to be rational and dispassionate when wrong.35:08–39:20 · Guest disagreement 1/10 Sponsor Break: Ridgeline AI Platform Following a mid-roll sponsor ad, Gavin explains instituting hypotheses rather than theses at Atreides so analysts focus on falsification and constructive disagreement without ego.39:21–43:26 · Guest disagreement 5/10 Process vs. Talent and Kaizen Execution Ted asks how Gavin thinks about edge and proprietary insights. Gavin pushes back hard against the allocator obsession with repeatable process, citing Jerry Krause and Michael Jordan to argue individual talent drives outsized alpha.43:26–47:15 · Guest disagreement 2/10 Quantitative Risk Management and Shorting Dynamics Ted asks how Atreides manages shorting and liquid portfolio levers. Gavin explains receiving quant risk mentorship at age 25 after an early drawdown and outlines managing LLCC (liquidity, leverage, concentration, crowding) and basis risk.47:16–51:49 · Guest disagreement 5/10 Position Sizing, Turnover, and Pod Shop Mechanics Ted probes whether long or short drives the book, position sizing tranches, and then pushes back on Gavin's star-talent premise against multi-manager pod shops. Gavin argues turnover is driven by volatility rather than time horizon.51:49–54:48 · Guest disagreement 2/10 Crossover Synergies and the AI Revolution Ted asks where crossover synergies matter most. Gavin explains that AI is the first major tech transition where competitors at every layer of the stack (models, semis, applications) are simultaneously public and private.54:49–1:00:50 · Guest disagreement 4/10 Private Market Sourcing and Founder Partnerships Ted asks how Atreides competes for deals against heavily resourced VCs. Gavin dismisses most VC operational value-add and wise advice as overstated, arguing crossover duration and public market prep provide true utility.1:00:50–1:05:49 · Guest disagreement 2/10 Risk Management and Governance in Private Investing Gavin discusses managing risk in private markets through trust-but-verify and long-term relationships, followed by using X/Twitter for crowdsourcing tech insights and pressure testing research.1:05:49–1:07:53 · Guest disagreement 1/10 Work-Life Integration and Competitive Drive Ted asks how Gavin manages his time across fast-moving tech sectors. Gavin explains his full work-life integration, citing Djokovic's love of hitting the ball and tap dancing into work.1:07:54–1:10:52 · Guest disagreement 1/10 Closing Questions: Fantasy Football, Influences, and Ikigai Rapid-fire closing questions covering fantasy football edge, primary career mentors (Wymer, Danoff, Urick, Gracias), and applying the concept of ikigai to asset management scale.1:10:54–1:12:53 · Guest disagreement 1/10 The Next Chapter: Peak Performance and Atreides Horizon Ted asks about the next five-year chapter. Gavin expresses excitement about entering peak performance years (ages 50 to 70), closing the execution gap, and compounding during the multi-decade AI cycle.2:25–7:17 · Ted pushing back 0/10 Spread the Word: Eric Seides Anecdote Host intro and humorous cameo from Eric Seides about sharing the podcast with friends and dads. No substantive market or debate content.7:19–9:42 · Ted pushing back 0/10 Childhood Influences, Competition, and Intellectual Curiosity Ted opens with a broad biographical inquiry into Gavin's childhood. Gavin shares personal anecdotes about D&D, chess, Stratego, and finding an outlet for competitiveness in tennis.9:43–13:01 · Ted pushing back 1/10 Unconventional Learning and Serendipity to Dartmouth Ted asks how Gavin learned to learn despite poor traditional grades. Gavin details his military tech fixation and the serendipitous bullying intervention that landed him at Dartmouth.13:02–18:12 · Ted pushing back 0/10 Accidental Entry into Finance and Early Mentorship Gavin describes his transition from aspiring rock climber and ski bum to finance intern at DLJ and his recruitment by Fidelity. Ted mostly listens to the narrative.18:13–22:29 · Ted pushing back 0/10 Fidelity's Meritocracy and Formative Investment Lessons Gavin explains Fidelity's radical early-career independence and meritocratic culture. He recounts Joel Tillinghast teaching him how value investors evaluate normalized earnings despite cyclical drop-offs.22:30–26:02 · Ted pushing back 0/10 Core Influences: Doing Primary Work and Bayesian Updating Ted asks about the philosophy matching Gavin's disposition. Gavin details primary research lessons from Steve Wymer, Bayesian updating, and doubling down late on 52-week lows.26:02–28:56 · Ted pushing back 1/10 Growth vs. Value and Valuation Realities Ted asks where Gavin lands on the growth versus value spectrum. Gavin emphatically debunks the growth versus value dichotomy, arguing all investing is valuation-sensitive DCFs and critiquing why fundamental value alpha decayed against quants.28:56–32:27 · Ted pushing back 0/10 Venture Origins and Launching Atreides Ted asks about the transition from Fidelity to starting Atreides. Gavin describes early venture deals at CES, backing Roku across multiple rounds, and recognizing the crossover advantage.32:27–35:06 · Ted pushing back 0/10 Hiring Principles and Cultivating Intellectual Honesty Ted inquires into hiring practices. Gavin details why he screens for competitive experience, intellectual curiosity, and the crucial ability to be rational and dispassionate when wrong.35:08–39:20 · Ted pushing back 0/10 Sponsor Break: Ridgeline AI Platform Following a mid-roll sponsor ad, Gavin explains instituting hypotheses rather than theses at Atreides so analysts focus on falsification and constructive disagreement without ego.39:21–43:26 · Ted pushing back 2/10 Process vs. Talent and Kaizen Execution Ted asks how Gavin thinks about edge and proprietary insights. Gavin pushes back hard against the allocator obsession with repeatable process, citing Jerry Krause and Michael Jordan to argue individual talent drives outsized alpha.43:26–47:15 · Ted pushing back 0/10 Quantitative Risk Management and Shorting Dynamics Ted asks how Atreides manages shorting and liquid portfolio levers. Gavin explains receiving quant risk mentorship at age 25 after an early drawdown and outlines managing LLCC (liquidity, leverage, concentration, crowding) and basis risk.47:16–51:49 · Ted pushing back 4/10 Position Sizing, Turnover, and Pod Shop Mechanics Ted probes whether long or short drives the book, position sizing tranches, and then pushes back on Gavin's star-talent premise against multi-manager pod shops. Gavin argues turnover is driven by volatility rather than time horizon.51:49–54:48 · Ted pushing back 0/10 Crossover Synergies and the AI Revolution Ted asks where crossover synergies matter most. Gavin explains that AI is the first major tech transition where competitors at every layer of the stack (models, semis, applications) are simultaneously public and private.54:49–1:00:50 · Ted pushing back 1/10 Private Market Sourcing and Founder Partnerships Ted asks how Atreides competes for deals against heavily resourced VCs. Gavin dismisses most VC operational value-add and wise advice as overstated, arguing crossover duration and public market prep provide true utility.1:00:50–1:05:49 · Ted pushing back 0/10 Risk Management and Governance in Private Investing Gavin discusses managing risk in private markets through trust-but-verify and long-term relationships, followed by using X/Twitter for crowdsourcing tech insights and pressure testing research.1:05:49–1:07:53 · Ted pushing back 0/10 Work-Life Integration and Competitive Drive Ted asks how Gavin manages his time across fast-moving tech sectors. Gavin explains his full work-life integration, citing Djokovic's love of hitting the ball and tap dancing into work.1:07:54–1:10:52 · Ted pushing back 0/10 Closing Questions: Fantasy Football, Influences, and Ikigai Rapid-fire closing questions covering fantasy football edge, primary career mentors (Wymer, Danoff, Urick, Gracias), and applying the concept of ikigai to asset management scale.1:10:54–1:12:53 · Ted pushing back 0/10 The Next Chapter: Peak Performance and Atreides Horizon Ted asks about the next five-year chapter. Gavin expresses excitement about entering peak performance years (ages 50 to 70), closing the execution gap, and compounding during the multi-decade AI cycle.

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

0:00 · Ted 53% · guest 47%0:00 · Ted 53% · guest 47%3:00 · Ted 78.2% · guest 21.8%3:00 · Ted 78.2% · guest 21.8%6:00 · Ted 46.7% · guest 53.3%6:00 · Ted 46.7% · guest 53.3%9:00 · Ted 9.3% · guest 90.7%9:00 · Ted 9.3% · guest 90.7%12:00 · Ted 2.7% · guest 97.3%12:00 · Ted 2.7% · guest 97.3%15:00 · Ted 0% · guest 100%15:00 · Ted 0% · guest 100%18:00 · Ted 1.5% · guest 98.5%18:00 · Ted 1.5% · guest 98.5%21:00 · Ted 4.1% · guest 95.9%21:00 · Ted 4.1% · guest 95.9%24:00 · Ted 12% · guest 88%24:00 · Ted 12% · guest 88%27:00 · Ted 4.8% · guest 95.2%27:00 · Ted 4.8% · guest 95.2%30:00 · Ted 5.3% · guest 94.7%30:00 · Ted 5.3% · guest 94.7%33:00 · Ted 32.3% · guest 67.7%33:00 · Ted 32.3% · guest 67.7%36:00 · Ted 15.1% · guest 84.9%36:00 · Ted 15.1% · guest 84.9%39:00 · Ted 7.9% · guest 92.1%39:00 · Ted 7.9% · guest 92.1%42:00 · Ted 12.2% · guest 87.8%42:00 · Ted 12.2% · guest 87.8%45:00 · Ted 12.5% · guest 87.5%45:00 · Ted 12.5% · guest 87.5%48:00 · Ted 0.8% · guest 99.2%48:00 · Ted 0.8% · guest 99.2%51:00 · Ted 17% · guest 83%51:00 · Ted 17% · guest 83%54:00 · Ted 11.7% · guest 88.3%54:00 · Ted 11.7% · guest 88.3%57:00 · Ted 6.4% · guest 93.6%57:00 · Ted 6.4% · guest 93.6%1:00:00 · Ted 12.5% · guest 87.5%1:00:00 · Ted 12.5% · guest 87.5%1:03:00 · Ted 5.9% · guest 94.1%1:03:00 · Ted 5.9% · guest 94.1%1:06:00 · Ted 24.6% · guest 75.4%1:06:00 · Ted 24.6% · guest 75.4%1:09:00 · Ted 6.1% · guest 93.9%1:09:00 · Ted 6.1% · guest 93.9%1:12:00 · Ted 49.5% · guest 50.5%1:12:00 · Ted 49.5% · guest 50.5%
Sharpest disagreement ▶ 40:05 Rejecting allocator process dogma with Michael Jordan Bulls analogy

Gavin directly dismisses the allocator belief in repeatable process systems, arguing that alpha relies strictly on elite individual talent just as the Bulls collapsed after Michael Jordan left.

Hardest push from Ted ▶ 51:00 Ted challenging star-talent theory using pod shop success

Ted actively challenges Gavin's premise that a handful of star individuals drive all fund performance by pointing out the systemic success of multi-manager pod shops.

Biggest teaching moment ▶ 27:25 Educating on mental DCFs and algorithmic displacement of value alpha

Gavin dismantles traditional value investing assumptions, explaining that fundamental valuation is trivial mental arithmetic and showing how emotionless quant algorithms absorbed legacy value alpha.

Ted holds their own ▶ 47:16 Ted interrogating long-short hypothesis generation and funding mechanics

Ted demonstrates his deep hedge fund structuring knowledge by drilling into the operational realities of whether long or short theses dictate portfolio risk balancing.

the scores for every segment, with the reasoning behind each
ChapterTopicTed as informed peerGuest teachingGuest disagreementTed pushing backWhy
Spread the Word: Eric Seides Anecdote 1000 Host intro and humorous cameo from Eric Seides about sharing the podcast with friends and dads. No substantive market or debate content.
Childhood Influences, Competition, and Intellectual Curiosity 2210 Ted opens with a broad biographical inquiry into Gavin's childhood. Gavin shares personal anecdotes about D&D, chess, Stratego, and finding an outlet for competitiveness in tennis.
Unconventional Learning and Serendipity to Dartmouth 3211 Ted asks how Gavin learned to learn despite poor traditional grades. Gavin details his military tech fixation and the serendipitous bullying intervention that landed him at Dartmouth.
Accidental Entry into Finance and Early Mentorship 3310 Gavin describes his transition from aspiring rock climber and ski bum to finance intern at DLJ and his recruitment by Fidelity. Ted mostly listens to the narrative.
Fidelity's Meritocracy and Formative Investment Lessons 4420 Gavin explains Fidelity's radical early-career independence and meritocratic culture. He recounts Joel Tillinghast teaching him how value investors evaluate normalized earnings despite cyclical drop-offs.
Core Influences: Doing Primary Work and Bayesian Updating 4420 Ted asks about the philosophy matching Gavin's disposition. Gavin details primary research lessons from Steve Wymer, Bayesian updating, and doubling down late on 52-week lows.
Growth vs. Value and Valuation Realities 5641 Ted asks where Gavin lands on the growth versus value spectrum. Gavin emphatically debunks the growth versus value dichotomy, arguing all investing is valuation-sensitive DCFs and critiquing why fundamental value alpha decayed against quants.
Venture Origins and Launching Atreides 4310 Ted asks about the transition from Fidelity to starting Atreides. Gavin describes early venture deals at CES, backing Roku across multiple rounds, and recognizing the crossover advantage.
Hiring Principles and Cultivating Intellectual Honesty 4420 Ted inquires into hiring practices. Gavin details why he screens for competitive experience, intellectual curiosity, and the crucial ability to be rational and dispassionate when wrong.
Sponsor Break: Ridgeline AI Platform 3310 Following a mid-roll sponsor ad, Gavin explains instituting hypotheses rather than theses at Atreides so analysts focus on falsification and constructive disagreement without ego.
Process vs. Talent and Kaizen Execution 4552 Ted asks how Gavin thinks about edge and proprietary insights. Gavin pushes back hard against the allocator obsession with repeatable process, citing Jerry Krause and Michael Jordan to argue individual talent drives outsized alpha.
Quantitative Risk Management and Shorting Dynamics 4420 Ted asks how Atreides manages shorting and liquid portfolio levers. Gavin explains receiving quant risk mentorship at age 25 after an early drawdown and outlines managing LLCC (liquidity, leverage, concentration, crowding) and basis risk.
Position Sizing, Turnover, and Pod Shop Mechanics 6554 Ted probes whether long or short drives the book, position sizing tranches, and then pushes back on Gavin's star-talent premise against multi-manager pod shops. Gavin argues turnover is driven by volatility rather than time horizon.
Crossover Synergies and the AI Revolution 4420 Ted asks where crossover synergies matter most. Gavin explains that AI is the first major tech transition where competitors at every layer of the stack (models, semis, applications) are simultaneously public and private.
Private Market Sourcing and Founder Partnerships 4441 Ted asks how Atreides competes for deals against heavily resourced VCs. Gavin dismisses most VC operational value-add and wise advice as overstated, arguing crossover duration and public market prep provide true utility.
Risk Management and Governance in Private Investing 4420 Gavin discusses managing risk in private markets through trust-but-verify and long-term relationships, followed by using X/Twitter for crowdsourcing tech insights and pressure testing research.
Work-Life Integration and Competitive Drive 3210 Ted asks how Gavin manages his time across fast-moving tech sectors. Gavin explains his full work-life integration, citing Djokovic's love of hitting the ball and tap dancing into work.
Closing Questions: Fantasy Football, Influences, and Ikigai 2210 Rapid-fire closing questions covering fantasy football edge, primary career mentors (Wymer, Danoff, Urick, Gracias), and applying the concept of ikigai to asset management scale.
The Next Chapter: Peak Performance and Atreides Horizon 3310 Ted asks about the next five-year chapter. Gavin expresses excitement about entering peak performance years (ages 50 to 70), closing the execution gap, and compounding during the multi-decade AI cycle.

Statements from this episode (40)

Insight
Baker: Investment success requires a philosophy matching your emotional makeup
“A lot of being successful as an investor is finding an investments philosophy. That fits your own emotional makeup such that you can be rational when you are wrong.”
Gavin Baker Mar 2, 2026 ▶ 22:19
Insight
Baker: Evaluated analysts on clear factual arguments, not hit rate
“I didn't care whether the analysts at Fidelity got their stocks right or wrong. It was utterly immaterial to how I evaluated analysts. There's an analyst, he consistently had some of the worst stock picking metrics in the department. But I made a vast amount o…”
Gavin Baker Mar 2, 2026 ▶ 23:42
Insight
Baker: Investors must urgently focus on data outside probability distributions
“Investing is a Bayesian endeavor. You have a Bayesian probability space of expected outcomes. The data points should fit within that. And then if there's a data point outside that, that's what you have to super focus. If a data points inside your expected prob…”
Gavin Baker Mar 2, 2026 ▶ 24:35
Insight
Baker: Investors must choose to panic early or double down late
“As an investor, you have to either panic early or double down late, and you have to be one of the two. It's hard to be both.”
Gavin Baker Mar 2, 2026 ▶ 25:00
Disclosure
Gavin Baker: Contrarian style relies on buying 52-week low lists
“For me, I'm a double down late person. I'm always buying stocks on the fifty-two-week low list. It makes me uncomfortable when a name is in the consensus. Sometimes consensus is right, but it's important to me to be contrarian.”
Gavin Baker Mar 2, 2026 ▶ 25:11
Insight
Gavin Baker: Price determines returns only for a given business outcome
“Warren Buffett's famous statement is the price you pay determines your return. I would modify that and say the price you pay determines your return for a given business outcome.”
Gavin Baker Mar 2, 2026 ▶ 26:57
Insight
Experienced investors must calculate DCF models instantly in their heads
“If you've been doing this more than five years and you can't instantly do a DCF in your head, this is the wrong business for you.”
Gavin Baker Mar 2, 2026 ▶ 27:53
Insight
Algorithms eliminated value investing alpha because computers do not feel embarrassment
“I do think this is why a lot of fundamentally based value strategies have struggled for a long time, because the alpha in those strategies Was being willing to own these stocks that other people were embarrassed to own because they were so out of favor. And yo…”
Gavin Baker Mar 2, 2026 ▶ 27:58
Insight
Gavin Baker: Fundamental alpha requires out-of-consensus estimates and correctness
“The alpha in the market as a fundamental investor comes from having earnings estimates or free cash flow estimates or whatever metric you choose that are materially different from consensus and being right.”
Gavin Baker Mar 2, 2026 ▶ 28:43
Disclosure
Baker: Fidelity invested privately in Facebook in 2010
“I reengaged with venture right around the time Allen and company started bringing growth stage equity opportunities to big mutual fund managers, which is so important to own Facebook privately in 2010.”
Gavin Baker Mar 2, 2026 ▶ 31:05
Disclosure
Baker: Fidelity led three Roku rounds when VCs feared Big Tech
“There's this company, Roku, no VCs would fund it, because every venture capitalist was worried about competition from Amazon, Google, and Apple. I was like, well, I'm really familiar with those companies. Competing with Roku, it is not on their top 50 list of …”
Gavin Baker Mar 2, 2026 ▶ 31:34
Disclosure
Baker: Cut WeWork allocation in half when valuation was pushed
“I did invest in WeWork. They pushed the price, and I did cut my order in half. Never did anymore, to the best of my memory, but it's not like it was all roses or successes.”
Gavin Baker Mar 2, 2026 ▶ 32:06
Assertion Not checkable as stated
Baker: Most big asset managers change compensation every 3 to 5 years
“Probably most big asset management firm changes the way they pay people every three to five years.”
Gavin Baker Mar 2, 2026 ▶ 32:51
Insight
Baker: Competitive sports experience is essential for hiring resilient analysts
“In today's world, actually having played sports is an advantage or done anything where there's objective outcomes. For a lot of children, they've lived in a world of participation trophies and great inflation. They haven't been confronted with losing, with an …”
Gavin Baker Mar 2, 2026 ▶ 33:30
Insight
Baker: Framing investment ideas as falsifiable hypotheses limits confirmation bias
“Instead of having an investment thesis, we have an investment hypothesis, thesis being a literal statement of belief, and if you state a belief, as a human, you become attached to it, whereas a hypothesis is quantitatively falsifiable, and you're attempting to…”
Gavin Baker Mar 2, 2026 ▶ 37:08
Disclosure
Baker: Atreides manages fund positions via dynamic pilot and co-pilot roles
“Every position in the fund, I think of it as like an airplane. You can pick any moving vehicle. On some positions, I'm the pilot. On other positions, I'm the co-pilot. Some positions, I'm in the plane, and maybe the pilot or the co-pilot are people who I've wo…”
Gavin Baker Mar 2, 2026 ▶ 38:43
Insight
Baker: Process-driven alpha in fundamental investing is quickly competed away
“By the way, you have to have a process, and you have to have the process that works for you, but any process that's repeatable that generates significant alpha, it's a very competitive world. It's going to quickly be armed away. In fundamental investing, any p…”
Gavin Baker Mar 2, 2026 ▶ 41:11
Insight
Top fund returns are driven by just two to ten key people
“I would just submit that any investment organization, no matter how big, there's somewhere between two and 10 people, and if you took those people out, and the organization had the exact same process, the results would be very different.”
Gavin Baker Mar 2, 2026 ▶ 41:30
Insight
Baker: Effective crossover investors should never encounter genuinely new ideas
“Because, particularly as a crossover investor, there should be no new ideas if I'm doing my job well. You should have a defined universe where we have a very high knowledge level.”
Gavin Baker Mar 2, 2026 ▶ 41:53
Disclosure
Baker: Atreides measures annual gap between insight quality and portfolio performance
“For me, execution is the gap between our performance and the performance we could have had based on the quality of our insights. I make an effort to measure that every year.”
Gavin Baker Mar 2, 2026 ▶ 42:46
Insight
Baker: Good stock pickers will be good at shorting stocks
“There's no difference except for the risk, but the same principles apply. If you're good at buying stocks, you're going to be good at shorting stocks.”
Gavin Baker Mar 2, 2026 ▶ 44:07
Insight
Baker: Managing basis risk is essential when running high gross exposure
“If you're going to run a high gross, the most essential thing that you have to manage is basis risk.”
Gavin Baker Mar 2, 2026 ▶ 46:08
Insight
Baker: Long growth and short value pairs create levered factor risk
“You can't be long a stock like GM and be short Tesla. From a quantitative perspective, that makes no sense. If you're long growth and short value, that's equally painful. If you're long value and short growth, that means you're just levered value. If you're lo…”
Gavin Baker Mar 2, 2026 ▶ 46:36
Insight
Baker: For an unlevered long book under 100%, short alpha is irrelevant
“If you're going to run with an unlevered long book under a hundred, then short alpha is irrelevant. All that matters is your shorts must make money. Full stop.”
Gavin Baker Mar 2, 2026 ▶ 48:06
Insight
Baker: Extreme single-stock concentration turns a fund into a single stock
“If you have a 35% position in one stock, and then your second position is three or five percent, you're not a fund, you're a stock.”
Gavin Baker Mar 2, 2026 ▶ 49:08
Insight
Baker: Portfolio turnover is driven by volatility, not time horizon
“Turnover should be a function of how often you change your mind, and part of that in any discipline valuation-based process should be about how the stocks move. For me, turnover is mostly a function of volatility.”
Gavin Baker Mar 2, 2026 ▶ 49:59
Opinion
Baker: Multi-manager hedge funds are driven by a few star pods
“At a lot of these multi-managers, there are a couple of pods, and maybe I am out of date, who are running a disproportionate amount of money with really good returns. The reason they have a disproportionate amount of money is because they have a long history o…”
Gavin Baker Mar 2, 2026 ▶ 51:19
Insight
Understanding a business takes years, not 90 days of due diligence
“It's funny that some investors have an idea that you can do 90 days of work on a business and really understand it. I don't think it's possible. For me, to really understand a business, I need years of history, in some case decades, to see how the business and…”
Gavin Baker Mar 2, 2026 ▶ 52:33
Insight
Baker: AI Uniquely Features Public and Private Rivals Across Every Layer
“I have never seen a new technological trend where at every level of the stack, the competitors are both public and private.”
Gavin Baker Mar 2, 2026 ▶ 53:21
Disclosure
Baker: Atreides requires trusted founders or board VCs for large private bets
“I don't like to invest in a company and make it a big position unless it's either a repeat founder who I've had a long duration relationship with, or there is a VC who I have a close personal and professional relationship with, Who has a really good track reco…”
Gavin Baker Mar 2, 2026 ▶ 58:23
Insight
Baker: Public companies targeted by short sellers should never publicly respond
“This is what you do the first time you get a short seller, write a report about you. Do not respond. I know it feels so personal. I know how personal it is, but just don't respond. Let the numbers do the talking. If you get in a public fight with them, it's ju…”
Gavin Baker Mar 2, 2026 ▶ 59:46
Opinion
Baker: VC operational value-add is wildly overstated and unappreciated by founders
“The short answer is a lot of the operational value add from a lot of these firms is wildly overstated. The wise advice is super not appreciated.”
Gavin Baker Mar 2, 2026 ▶ 1:00:35
Opinion
Baker: Private Markets Suffer Far More Bad Behavior Than Realized
“There is more bad behavior in private markets than I think people realize. FTX, it's very public, but these companies, they're not filing always audited financials. They don't have the controls. Particularly when something starts to go bad, there's a lot of ba…”
Gavin Baker Mar 2, 2026 ▶ 1:01:37
Assertion Contradicted
Baker: Google JAX and Meta PyTorch teams fought publicly on X until leaders called truce
“The JAX team at Google got into a giant fight with the PyTorch team on Meta on X, and the heads of each company's respective AI division had to make a public truce and instruct their troops to stop fighting.”
Gavin Baker Mar 2, 2026 ▶ 1:03:00
Assertion Contradicted
Baker: Anthropic researchers report substantial hiring driven by candidate posts on X and Substack
“Anthropic researchers have said a lot of our hiring comes from what people say on X. And what they might write in a substack.”
Gavin Baker Mar 2, 2026 ▶ 1:03:20
Insight
Baker: A high-IQ social following sharpens investment ideas and drives venture deal flow
“Our friend Patrick O'Shaughnessy has said having a big High IQ following is actually a superpower, and it really is. So I think for sharpening your ideas, it's incredible. Then there's a whole nother dynamic. It really matters for deal flow.”
Gavin Baker Mar 2, 2026 ▶ 1:04:45
Insight
Baker: Fantasy football and investing both require non-consensus differential opinions
“Fantasy football and investing, they're fundamentally the exact same thing. You have to have a differential opinion. If you just draft everybody where their ADV is, you're never gonna win.”
Gavin Baker Mar 2, 2026 ▶ 1:08:15
Insight
Baker: Scale and business resilience provide an essential advantage for hedge fund performance
“Hedge funds are fragile, and the smaller they are, the more fragile they are. I do think it's becoming a scale game, and that was very important advice from Mike. So if you have a diversified business, it makes it a lot easier to be rational when you're wrong.…”
Gavin Baker Mar 2, 2026 ▶ 1:10:21
Insight
Baker: Ages 50 Through 70 Are Peak Performance Years for Investors
“Point number one, something I profoundly believe is that 50 through 70 are peak performance years for professional investors.”
Gavin Baker Mar 2, 2026 ▶ 1:11:01
Prediction Not checkable as stated
Baker: AI Is in Year Three of a 20- to 30-Year Cycle
“We're, I think, in the very early days of AI. If ChatGPT is to AI as Netscape Navigator was, we're in year three of what should be a 20, 25, thirty-year really exciting cycle or trend.”
Gavin Baker Mar 2, 2026 ▶ 1:12:09
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