Jul 9, 2026 · 44m · catalyst

Inside the AI power wars

Jeremy Eliahu-Ontiveros · 24m spoken Shayle Kann · 12m spoken
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Host Shayle Kann and SemiAnalysis analyst Jeremy Eliahu-Ontiveros dissect the fierce race among tech hyperscalers, frontier AI labs, and chipmakers to secure massive electric power supplies through behind-the-meter generation, creative credit backstops, and gigawatt-scale hybrid energy campuses.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Shayle holds 29.9% of the talking time here. How this is scored →

Shayle as informed peer 6.5 Guest teaching 4.5 Guest disagreement 2.3 Shayle pushing back 2.1
05100:0015:0030:003:12–10:27 · Shayle as informed peer 7/10 Hyperscaler Power Approaches: Google's Dominance vs. Meta's Fast Builds Kann displays deep historical context regarding Google's energy sophistication, early PPAs, and 24/7 clean energy commitments. Eliahu-Ontiveros adds unique details on Meta's temporary 'tent' substation designs in Ohio.10:30–17:28 · Shayle as informed peer 7/10 AI Lab Power Demands and the Grid Supply Crunch Eliahu-Ontiveros reframes the topic by arguing AI labs matter more than hyperscalers and claims grid additions will fall far short. Kann actively pushes back with a bet, arguing transmission and distribution bottlenecks are the primary issue rather than generation capacity.17:30–23:16 · Shayle as informed peer 6/10 Silicon Wars: Google's TPU Backstops vs. Nvidia's Model Eliahu-Ontiveros explains how Google uses 50 billion dollars in TPU backstops on its balance sheet to support Anthropic's data center builds. Kann draws a sharp parallel to Nvidia's equity strategy with neoclouds.23:16–26:11 · Shayle as informed peer 6/10 Financing Hurdles for Neoclouds and Nvidia's Next Move Kann asks whether rising utility deposit requirements create financing hurdles for non-investment grade neoclouds. Eliahu-Ontiveros confirms with data on CoreWeave's contracted power and the freeze in high-yield debt markets.26:14–32:45 · Shayle as informed peer 6/10 Sponsor Message: Fast Power and Responsive Grid Solutions After midroll sponsors, Kann and Eliahu-Ontiveros review gas deployment tiers, highlighting reciprocating engines and aeroderivatives. Kann adds data points about utility contracted loads with Xcel.32:45–37:05 · Shayle as informed peer 7/10 Evaluating Fuel Cells as Fast, Islanded Power Eliahu-Ontiveros notes Bloom fuel cells take two days to ramp up, making them unsuitable for backup or bridge power. Kann offers an informed alternative, pointing out bridge generation can be transferred to utility ownership post-interconnection.37:06–40:23 · Shayle as informed peer 6/10 Gigawatt-Scale Campuses: Solar and Storage in West Texas Kann inquires about behind-the-meter solar and wind beyond Google's Intersect deal. Eliahu-Ontiveros outlines the growing cluster of 5-gigawatt multi-resource campuses in West Texas involving Lancium and Crusoe.40:23–43:48 · Shayle as informed peer 7/10 Clean Firm Energy: Nuclear, Geothermal, and Speed Priorities Kann synthesizes that clean firm sources like nuclear and geothermal represent long-term capacity options rather than near-term speed-to-power solutions. Eliahu-Ontiveros strongly agrees and reveals his forecast that gas turbine orders are peaking.3:12–10:27 · Guest teaching 4/10 Hyperscaler Power Approaches: Google's Dominance vs. Meta's Fast Builds Kann displays deep historical context regarding Google's energy sophistication, early PPAs, and 24/7 clean energy commitments. Eliahu-Ontiveros adds unique details on Meta's temporary 'tent' substation designs in Ohio.10:30–17:28 · Guest teaching 5/10 AI Lab Power Demands and the Grid Supply Crunch Eliahu-Ontiveros reframes the topic by arguing AI labs matter more than hyperscalers and claims grid additions will fall far short. Kann actively pushes back with a bet, arguing transmission and distribution bottlenecks are the primary issue rather than generation capacity.17:30–23:16 · Guest teaching 6/10 Silicon Wars: Google's TPU Backstops vs. Nvidia's Model Eliahu-Ontiveros explains how Google uses 50 billion dollars in TPU backstops on its balance sheet to support Anthropic's data center builds. Kann draws a sharp parallel to Nvidia's equity strategy with neoclouds.23:16–26:11 · Guest teaching 5/10 Financing Hurdles for Neoclouds and Nvidia's Next Move Kann asks whether rising utility deposit requirements create financing hurdles for non-investment grade neoclouds. Eliahu-Ontiveros confirms with data on CoreWeave's contracted power and the freeze in high-yield debt markets.26:14–32:45 · Guest teaching 4/10 Sponsor Message: Fast Power and Responsive Grid Solutions After midroll sponsors, Kann and Eliahu-Ontiveros review gas deployment tiers, highlighting reciprocating engines and aeroderivatives. Kann adds data points about utility contracted loads with Xcel.32:45–37:05 · Guest teaching 4/10 Evaluating Fuel Cells as Fast, Islanded Power Eliahu-Ontiveros notes Bloom fuel cells take two days to ramp up, making them unsuitable for backup or bridge power. Kann offers an informed alternative, pointing out bridge generation can be transferred to utility ownership post-interconnection.37:06–40:23 · Guest teaching 4/10 Gigawatt-Scale Campuses: Solar and Storage in West Texas Kann inquires about behind-the-meter solar and wind beyond Google's Intersect deal. Eliahu-Ontiveros outlines the growing cluster of 5-gigawatt multi-resource campuses in West Texas involving Lancium and Crusoe.40:23–43:48 · Guest teaching 4/10 Clean Firm Energy: Nuclear, Geothermal, and Speed Priorities Kann synthesizes that clean firm sources like nuclear and geothermal represent long-term capacity options rather than near-term speed-to-power solutions. Eliahu-Ontiveros strongly agrees and reveals his forecast that gas turbine orders are peaking.3:12–10:27 · Guest disagreement 2/10 Hyperscaler Power Approaches: Google's Dominance vs. Meta's Fast Builds Kann displays deep historical context regarding Google's energy sophistication, early PPAs, and 24/7 clean energy commitments. Eliahu-Ontiveros adds unique details on Meta's temporary 'tent' substation designs in Ohio.10:30–17:28 · Guest disagreement 4/10 AI Lab Power Demands and the Grid Supply Crunch Eliahu-Ontiveros reframes the topic by arguing AI labs matter more than hyperscalers and claims grid additions will fall far short. Kann actively pushes back with a bet, arguing transmission and distribution bottlenecks are the primary issue rather than generation capacity.17:30–23:16 · Guest disagreement 2/10 Silicon Wars: Google's TPU Backstops vs. Nvidia's Model Eliahu-Ontiveros explains how Google uses 50 billion dollars in TPU backstops on its balance sheet to support Anthropic's data center builds. Kann draws a sharp parallel to Nvidia's equity strategy with neoclouds.23:16–26:11 · Guest disagreement 2/10 Financing Hurdles for Neoclouds and Nvidia's Next Move Kann asks whether rising utility deposit requirements create financing hurdles for non-investment grade neoclouds. Eliahu-Ontiveros confirms with data on CoreWeave's contracted power and the freeze in high-yield debt markets.26:14–32:45 · Guest disagreement 2/10 Sponsor Message: Fast Power and Responsive Grid Solutions After midroll sponsors, Kann and Eliahu-Ontiveros review gas deployment tiers, highlighting reciprocating engines and aeroderivatives. Kann adds data points about utility contracted loads with Xcel.32:45–37:05 · Guest disagreement 2/10 Evaluating Fuel Cells as Fast, Islanded Power Eliahu-Ontiveros notes Bloom fuel cells take two days to ramp up, making them unsuitable for backup or bridge power. Kann offers an informed alternative, pointing out bridge generation can be transferred to utility ownership post-interconnection.37:06–40:23 · Guest disagreement 2/10 Gigawatt-Scale Campuses: Solar and Storage in West Texas Kann inquires about behind-the-meter solar and wind beyond Google's Intersect deal. Eliahu-Ontiveros outlines the growing cluster of 5-gigawatt multi-resource campuses in West Texas involving Lancium and Crusoe.40:23–43:48 · Guest disagreement 2/10 Clean Firm Energy: Nuclear, Geothermal, and Speed Priorities Kann synthesizes that clean firm sources like nuclear and geothermal represent long-term capacity options rather than near-term speed-to-power solutions. Eliahu-Ontiveros strongly agrees and reveals his forecast that gas turbine orders are peaking.3:12–10:27 · Shayle pushing back 2/10 Hyperscaler Power Approaches: Google's Dominance vs. Meta's Fast Builds Kann displays deep historical context regarding Google's energy sophistication, early PPAs, and 24/7 clean energy commitments. Eliahu-Ontiveros adds unique details on Meta's temporary 'tent' substation designs in Ohio.10:30–17:28 · Shayle pushing back 6/10 AI Lab Power Demands and the Grid Supply Crunch Eliahu-Ontiveros reframes the topic by arguing AI labs matter more than hyperscalers and claims grid additions will fall far short. Kann actively pushes back with a bet, arguing transmission and distribution bottlenecks are the primary issue rather than generation capacity.17:30–23:16 · Shayle pushing back 2/10 Silicon Wars: Google's TPU Backstops vs. Nvidia's Model Eliahu-Ontiveros explains how Google uses 50 billion dollars in TPU backstops on its balance sheet to support Anthropic's data center builds. Kann draws a sharp parallel to Nvidia's equity strategy with neoclouds.23:16–26:11 · Shayle pushing back 1/10 Financing Hurdles for Neoclouds and Nvidia's Next Move Kann asks whether rising utility deposit requirements create financing hurdles for non-investment grade neoclouds. Eliahu-Ontiveros confirms with data on CoreWeave's contracted power and the freeze in high-yield debt markets.26:14–32:45 · Shayle pushing back 1/10 Sponsor Message: Fast Power and Responsive Grid Solutions After midroll sponsors, Kann and Eliahu-Ontiveros review gas deployment tiers, highlighting reciprocating engines and aeroderivatives. Kann adds data points about utility contracted loads with Xcel.32:45–37:05 · Shayle pushing back 3/10 Evaluating Fuel Cells as Fast, Islanded Power Eliahu-Ontiveros notes Bloom fuel cells take two days to ramp up, making them unsuitable for backup or bridge power. Kann offers an informed alternative, pointing out bridge generation can be transferred to utility ownership post-interconnection.37:06–40:23 · Shayle pushing back 1/10 Gigawatt-Scale Campuses: Solar and Storage in West Texas Kann inquires about behind-the-meter solar and wind beyond Google's Intersect deal. Eliahu-Ontiveros outlines the growing cluster of 5-gigawatt multi-resource campuses in West Texas involving Lancium and Crusoe.40:23–43:48 · Shayle pushing back 1/10 Clean Firm Energy: Nuclear, Geothermal, and Speed Priorities Kann synthesizes that clean firm sources like nuclear and geothermal represent long-term capacity options rather than near-term speed-to-power solutions. Eliahu-Ontiveros strongly agrees and reveals his forecast that gas turbine orders are peaking.

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

0:00 · Shayle 48.8% · guest 51.2%0:00 · Shayle 48.8% · guest 51.2%3:00 · Shayle 29.4% · guest 70.6%3:00 · Shayle 29.4% · guest 70.6%6:00 · Shayle 52.2% · guest 47.8%6:00 · Shayle 52.2% · guest 47.8%9:00 · Shayle 40.2% · guest 59.8%9:00 · Shayle 40.2% · guest 59.8%12:00 · Shayle 0% · guest 100%12:00 · Shayle 0% · guest 100%15:00 · Shayle 69.2% · guest 30.8%15:00 · Shayle 69.2% · guest 30.8%18:00 · Shayle 7.3% · guest 92.7%18:00 · Shayle 7.3% · guest 92.7%21:00 · Shayle 33.5% · guest 66.5%21:00 · Shayle 33.5% · guest 66.5%24:00 · Shayle 0.7% · guest 99.3%24:00 · Shayle 0.7% · guest 99.3%27:00 · Shayle 27.4% · guest 72.6%27:00 · Shayle 27.4% · guest 72.6%30:00 · Shayle 8.4% · guest 91.6%30:00 · Shayle 8.4% · guest 91.6%33:00 · Shayle 39% · guest 61%33:00 · Shayle 39% · guest 61%36:00 · Shayle 21.7% · guest 78.3%36:00 · Shayle 21.7% · guest 78.3%39:00 · Shayle 28.6% · guest 71.4%39:00 · Shayle 28.6% · guest 71.4%42:00 · Shayle 46.9% · guest 53.1%42:00 · Shayle 46.9% · guest 53.1%
Sharpest disagreement ▶ 17:05 Guest Dismisses Generation Numbers as 'Rookie Numbers'

When Kann offers an estimate of 35 gigawatts of upcoming gas and solar/storage additions, Eliahu-Ontiveros flatly dismisses them as 'rookie numbers' compared to data center demand.

Hardest push from Shayle ▶ 15:32 Host Offers Direct Bet on Grid Additions and T&D Bottlenecks

Kann openly challenges Eliahu-Ontiveros's pessimistic supply projection with a bet, arguing generation capacity will exceed expectations while T&D remains the real constraint.

Biggest teaching moment ▶ 20:49 Guest Breaks Down Google's TPU Financing Architecture

Eliahu-Ontiveros walks through the financial mechanics of Google placing 50 billion dollars in backstops on its balance sheet for Anthropic to secure data center capacity and drive TPU hardware sales.

Shayle holds their own ▶ 15:32 Host Differentiates Generation Constraints from T&D Limits

Kann draws on deep power-sector knowledge to push back against a simplistic narrative of generation shortages, citing specific hardware lead times like high-voltage transformers.

the scores for every segment, with the reasoning behind each
ChapterTopicShayle as informed peerGuest teachingGuest disagreementShayle pushing backWhy
Hyperscaler Power Approaches: Google's Dominance vs. Meta's Fast Builds 7422 Kann displays deep historical context regarding Google's energy sophistication, early PPAs, and 24/7 clean energy commitments. Eliahu-Ontiveros adds unique details on Meta's temporary 'tent' substation designs in Ohio.
AI Lab Power Demands and the Grid Supply Crunch 7546 Eliahu-Ontiveros reframes the topic by arguing AI labs matter more than hyperscalers and claims grid additions will fall far short. Kann actively pushes back with a bet, arguing transmission and distribution bottlenecks are the primary issue rather than generation capacity.
Silicon Wars: Google's TPU Backstops vs. Nvidia's Model 6622 Eliahu-Ontiveros explains how Google uses 50 billion dollars in TPU backstops on its balance sheet to support Anthropic's data center builds. Kann draws a sharp parallel to Nvidia's equity strategy with neoclouds.
Financing Hurdles for Neoclouds and Nvidia's Next Move 6521 Kann asks whether rising utility deposit requirements create financing hurdles for non-investment grade neoclouds. Eliahu-Ontiveros confirms with data on CoreWeave's contracted power and the freeze in high-yield debt markets.
Sponsor Message: Fast Power and Responsive Grid Solutions 6421 After midroll sponsors, Kann and Eliahu-Ontiveros review gas deployment tiers, highlighting reciprocating engines and aeroderivatives. Kann adds data points about utility contracted loads with Xcel.
Evaluating Fuel Cells as Fast, Islanded Power 7423 Eliahu-Ontiveros notes Bloom fuel cells take two days to ramp up, making them unsuitable for backup or bridge power. Kann offers an informed alternative, pointing out bridge generation can be transferred to utility ownership post-interconnection.
Gigawatt-Scale Campuses: Solar and Storage in West Texas 6421 Kann inquires about behind-the-meter solar and wind beyond Google's Intersect deal. Eliahu-Ontiveros outlines the growing cluster of 5-gigawatt multi-resource campuses in West Texas involving Lancium and Crusoe.
Clean Firm Energy: Nuclear, Geothermal, and Speed Priorities 7421 Kann synthesizes that clean firm sources like nuclear and geothermal represent long-term capacity options rather than near-term speed-to-power solutions. Eliahu-Ontiveros strongly agrees and reveals his forecast that gas turbine orders are peaking.

Statements from this episode (23)

Opinion
Eliahu-Ontiveros: Google is the most sophisticated hyperscaler in energy strategy
“Generally speaking, I think it's fair to say that Google is the most sophisticated company. And on the energy side, they have sort of the biggest, you know, trading desks. They've choked some pretty big deals with utilities, as you probably know, for low flexi…”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 4:45
Assertion Not checkable as stated
Kann: Google's energy team is multiples larger than other hyperscalers
“I think Google's energy team is probably a multiple of the size of the next hyperscaler. Just the number, the sheer number of people they have dedicated to it.”
Shayle Kann Jul 9, 2026 ▶ 8:02
Opinion
Eliahu-Ontiveros: Microsoft has dropped to fourth in hyperscaler energy sophistication
“I don't think I wouldn't call Microsoft now the second. I probably would rank them fourth now. I think you've seen Amazon step up pretty dramatically, and you've seen them at the frontier of a bunch of, you know, unique type of deals.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 8:44
Assertion Supported
Eliahu-Ontiveros: Meta modern AI data centers omit backup generator sets
“Another interesting thing they've done, for example, is more at the data center level than at the energy level, but no backup. You look at any one of the modern meta data, so they don't have any gensets, or they have, you know, like, 10 megawatts for a hundred…”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 10:15
Assertion Not checkable as stated
Eliahu-Ontiveros: OpenAI and Anthropic drive half of Amazon and Microsoft buildout
“Increasingly, you basically look at Amazon or Microsoft, how many gigawatts they're building every quarter? Half of that is going to either both of them combined, right? Open AI and Anthropic.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 11:56
Assertion Open · timeframe Dec 2027
Eliahu-Ontiveros: Anthropic aims to add over 8 GW of power by 2027
“Anthropic, you know, one and a half gigs of capacity end of 20, 25. By 27, they won over 10 gigs, right? So they're going to build basically more than eight gigawatts in two years. That's the size of Google today.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 14:36
Assertion Supported
Eliahu-Ontiveros: Google deployed $50B in balance sheet backstops for Anthropic
“If you look at how much capital they have sort of indirectly deployed, it's already fifty billion dollars of sort of applications that they have on their balance sheets that are solely in sort of the goal of supporting Anthropix data center build out.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 21:21
Opinion
Eliahu-Ontiveros: CoreWeave Lacks Credit Profile to Lease a Gigawatt of Capacity
“For a company like CoreWeave if they wanted to build a gigawatt of data center capacity, or most likely to lease it, that would be more, more likely for them. They're just not going to be able to do that. They don't have the credit profile to do that.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 22:49
Assertion Partly supported
Eliahu-Ontiveros: CoreWeave's contracted power plateaued at 3.5 GW since Q3 2025
“CoreWeave, they have, you know, three and a half gigawatts of contracted power. Contracted for that means signed leases for the most part, some self-built, mostly signed leases with third parties. And what you saw was that this number was about, if I remember …”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 24:05
Assertion Not checkable as stated
Eliahu-Ontiveros: Utilities now demand multi-billion dollar commitments for gigawatts of power
“Utilities now are asking multi-billion dollar commitments for gigawatts gigawatts of power. Turbines and so on and so forth is the same thing. So yes, pretty massive disadvantage.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 25:03
Opinion
Eliahu-Ontiveros: Nvidia risks losing silicon share unless it backstops neocloud power
“It's actually becoming a pretty existential risk for NVIDIA because if they don't support the NeoClouds, they're at risk of basically seeing Google Amazon and others take tremendous market share on the silicon side, right? So you would see Tranium take, take m…”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 25:18
Prediction Held up
Eliahu-Ontiveros: Nvidia balance sheet support will unlock neocloud growth in 2H 2026
“I expect, you know, second half of 20 seconds, you'll see NeoCloud sort of growth be unlocked much more through the actions of NVIDIA as they provide their volunteer support.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 26:03
Assertion Partly supported
Eliahu-Ontiveros: OpenAI and Oracle to deploy 2.3 GW of reciprocating engines
“They signed this gigantic deal with Oracle in Shackleford County, Texas, where they're going to deploy 2.3 gigawatts of four megawatt reciprocating engines.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 30:32
Assertion Partly supported
Eliahu-Ontiveros: Google and Amazon drove bulk of 150 GW utility load pipeline
“The bulk of these contracted loads, I think at the end of 25, we had like a 150 gigawatts the PPL, you know, in, in, in Pennsylvania. That's mostly Google and Amazon. They're the ones sort of scouting all of the utility markets and you know, putting deposits a…”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 31:26
Assertion Supported
Eliahu-Ontiveros: Bloom fuel cells take two days to reach full capacity
“Because Blue Energy fuel cells, you know, they have to run extremely hot. And so if you want to use them as backup this basically takes two days, you know, to go from like zero to a hundred.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 33:46
Opinion
Eliahu-Ontiveros: Deploying Bloom fuel cells means being islanded for life
“And if you do bloom, you're basically islanded for life. Either that, or maybe you get good at some point, and then you move your fuel cells to some other location but you can't use them as backup. It's not a very efficient solution for backup purposes.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 34:29
Prediction Not checkable as stated
Eliahu-Ontiveros: Massive AI data center campuses will concentrate in West Texas
“I think the way big data centers, big data center campuses are going to look like a few years from now, again, like, obviously the scenario is we keep adding tens of gigawatts per year that keeps growing, so, you know, we're in this AI scenario. I'm, you know,…”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 37:49
Assertion Supported
Eliahu-Ontiveros: Lancium is developing Texas power infrastructure for Oracle and OpenAI
“Lancium has been pretty open about this. If you don't know them, they're the ones sort of building the, owning the land and developing the power infra, enabling Texas for Oracle and OpenAI. They have a bunch of other sites that are pretty massive in West Texas…”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 38:51
Prediction Not checkable as stated
Eliahu-Ontiveros: Gigascale campuses will pair tens of thousands of acres with hybrid power by 2030
“I think we're going to see more of that towards the end of the decade. More of those campuses with potentially tens of thousands of acres, gigantic campuses that are going to have gas, solar, Batteries. Maybe wind. But I think, yeah, that, that's going to be a…”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 39:23
Assertion Not checkable as stated
Eliahu-Ontiveros: Reliable developers are planning 5 GW data centers in West Texas
“I know of very reliable developers now that are planning five gigawatt data centers in West Texas. So I think it's really changing. We're at an inflection point, and I think you're going to see some pretty gigantic announcements.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 40:07
Assertion Not checkable as stated
Eliahu-Ontiveros: Most hyperscaler clean energy contracts are non-binding
“The type of contracts that have been signed so far are for the most part non-binding subject to milestones.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 41:16
Prediction Open · timeframe Dec 2026
Eliahu-Ontiveros: Gas turbine orders will peak this year
“We think gas turbine orders are going to pick this year.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 42:35
Assertion Supported
Eliahu-Ontiveros: Gas turbines for 2028 delivery are completely sold out
“You can't really get turbines for 28, they're all sold out.”
Jeremy Eliahu-Ontiveros Jul 9, 2026 ▶ 43:07
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