Professor G Markets$The Election that Ended the Trump Era
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Scott and Tony, with Tom phoning in from Austin, spent the day after the election arguing that the overnight whipsaw proved nobody knows anything. Under the index rally they saw a market that was still selling AI and data-center names hard. Their advice was to trade small and diversified across strategies, let the market's verdict on deals and earnings override the headline numbers, and treat earnings trades as binary bets to close afterwards. They made a standing bet on where the NASDAQ goes next: one host takes 26,000 and the other new highs near 31,600.
The overnight whipsaw. E-mini S&Ps fell more than 100 and the NASDAQ about 500 overnight, touching the NASDAQ's August lows. They then opened up roughly 100 and 400, with the Dow up about 1,000–1,300 and gold up about $100. One host, short NASDAQ futures, says the drop looked like "the end of the world" and he could not buy. The other bought E-minis unchanged and scratched them about 50 cents worse after watching them drop. A viewer poll found 72% did not buy the lows. AMD traded up to about $530 after earnings and then turned negative. The hosts tie Tesla and SpaceX weakness to Musk facing a Democratic Congress after spending nearly $500 million on the race.
Trading journals. Neither host has kept a journal. One thinks it helps visual learners see their mistakes. The other argues that a covered-call writer in a rising market will mistake the market's help for skill, and warns against using a journal to cherry-pick.
Viewer mechanics. For a $50,000 account, they recommend strategy diversification over only iron condors, such as a wide iron condor as a synthetic strangle on cheaper stocks. A viewer short a December gold strangle at 3,500/4,800, down $3,500 against a $5,000 limit, is told gold futures may be too big for that tolerance and to consider GLD, closing, or taking half off. The expected move sits inside one standard deviation because it comes from the front-month straddle, roughly 80% of it, so multiplying the straddle by 1.25 approximates the one-standard-deviation move. Index ETFs nearly always carry put skew and high flyers call skew, so the hosts favor IV rank over any skew percentage. A 45-day, 16-delta strangle at IV rank above 50, managed at 21 days or 50% profit, is endorsed as their standard approach. Selling butterflies is rejected outside 0DTE.
Agentic trades. The trades listed were a Marvell December strangle (the strike was shifted lower after the stock's fall; IV rank 52; earnings December 1), an SLV covered call, a Coinbase iron condor risking $7 to make $3, and a Google broken-wing put butterfly for a 25-cent credit. One host would make the Marvell trade a jade lizard instead, fearing a sharp rebound. Tom, calling in, says he bought Intel overnight at $57.50.
Marvell–Lumentum. Both stocks fell on the all-stock offer, which the hosts describe as $115 billion at roughly a 50% premium. Marvell dropped from about $250 to $163 and hasn't had an uptick since. The hosts say a cash deal would have been received differently, compare it to AOL–Time Warner, and say chasing the deal spread is picking up pennies in front of a steamroller. If the deal collapses, they see a possible bullish options trade on the most recent $20 drop, but not a full recovery.
AI consolidation and data centers. They cite CrowdStrike buying two AI security startups for $495 million and a count of 391 AI tools shut down or acquired by October 31, 80 of them acquired and then shut down. Their reading is that buyers are taking technology rather than building it. Three governors elected on curbing data centers are, they argue, why power names fell 5–12% on an up day. The hosts suggest companies should pay communities, for example through property-tax relief, to win acceptance.
Rotation and the 200-day. The NASDAQ 100 was 10% off its October 6 high. One host dismisses the 200-day line, since there is always another moving average above or below it. He doubts Intel's drop from 120 to 60 was rotation. One host's bias for bonds is rangebound to lower.
Apple and Palantir. Apple beat on earnings per share, revenue and iPhone growth. It fell about 4% on guidance cutting gross margin from 46% to 45%, then made an all-time high at $354.14. One host had skipped trading it because Apple stayed in its expected range only 66% of the time, a figure from the platform's newly launched earnings tool. The hosts give a viewer's praise of that tool airtime as a plug. The lesson they draw is to close earnings positions once the event passes. Nvidia near $202 is watched for a break of $200.
Butterflies. A long call butterfly centers its short strike where the trader expects the stock to land. It is cheap because, by one host's recollection, it pins only 5–6% of the time and profits about 12% of the time. The hosts reserve it for 0DTE index trades.
The hosts read the market as heavy: the Nasdaq is roughly 10% off its highs, every rally has been sold, and the VIX holds above 20 even on an up day. They treat both the election and the Iran strike reports as already priced in. Their advice is to stay nimble, size small enough to act when chances come, and pick a strategy that fits implied volatility rather than trading the headlines.
Open and election expectations. Tom describes buying Nasdaq futures and silver overnight while Apple and Palantir sold off after earnings. He is caught long Intel, Coinbase, Reddit and Robinhood, and is short Intel 80 puts. He expects a Democratic sweep that is already priced in, and little to happen before about 9 p.m., recalling a quiet 2016 election-night show that swung after he went home. He guesses the market might put in a short-term low today and drift down later in the week.
Dividends and viewer mechanics. On the question of the day, both hosts say a rising yield mostly means the price fell. A dividend cut worries them; eliminating a dividend to chase growth doesn't. Emailed questions get quick answers. When IV rank is low, keep trading at smaller size. Lump-sum investing statistically beats dollar-cost averaging, though not by much; Scott would put a big portion in now but not all, expecting further pullback. Tokenized trading still lacks uniformity, liquidity ("zero") and transparency. An iron condor can be adjusted inward only as far as an iron fly, since inverting it locks in a box.
Taxes, IRAs and loss-taking calls. A caller gets free content and Julia Spina's options book (about $20) as a starting point. Tom calls tax-loss harvesting a "scammy" buzzword that advisors use to gather assets. He says he has never traded for tax reasons and claims wash-sale rules don't affect options and futures. Scott leans 51/49 toward a Roth and says to always take a 401(k) match. Tom says no one should open an IRA at all. A caller from retirement planning pushes back, citing Social Security taxation, Medicare premiums and changing tax rates. Tony later sides with the caller, and a Dog Pound poll says 77% would not hire Tom as a tax advisor. On loss-taking, Tom says their think tank tested exits at 1x to 5x the premium and found no clear answer. Intel's overnight move was about four standard deviations ($30 against an $8 expected move) and couldn't be managed. Apple's rebound from its pre-market low shows the risk of the "first loss is the best loss" rule.
Scott's trades. He sells a /ZB 113/103 strangle (72% probability of profit, IV rank 56%, $2,340 buying power), buys a Rocket Lab 50/55 call spread for $2.45 into earnings on the 9th (48%), and sells a Cerebras November 75 put for $2.18 into earnings on the 12th (83%, $772). Cerebras IPO'd at $175 and trades near $97; he holds it pre-IPO under lockup and says he hates it. Last is a Google December double ratio for a $3.54 credit (80%, $2,976).
Tony joins: tone and the AI raise. Tony fact-checks 2016: futures were limit-down, not down 120. He calls the market stuck, with Nasdaq rallies being sold. On OpenAI raising about $11 billion of a $30 billion target at $1.25 trillion, one host says the bloom is off the rose. He expects an AI miss to be the eventual catalyst and thinks this bodes poorly for Anthropic's IPO, though a lowered IPO price range is called healthy. The other host says to trade listed AI names on IV rank, sticking to established names over fringe ones. He notes Micron went from about $200 to $1,250 and is now near $860. SpaceX, roughly flat since its IPO, is praised as a trading vehicle with options listed within days. On how far a large cap can fall, the answer is that it depends on implied volatility and the size of the prior run.
Verticals, Iran, and a pitch. A beginner with little cash is steered to selling verticals. A $5-wide spread sold for $1.50 risks $350 whatever the underlying's price. On the Iran reports, Scott expects upward pressure on oil if fighting resumes but says the market doesn't care. Defined risk still carries plenty of risk, and the trader has to be comfortable with the trade. A caller's praise of the platform's earnings data ("Bloomberg without the price") is product promotion.
Election trading and closing mechanics. VIX near 19 implies roughly a 1% daily S&P move. Scott thinks macro factors like oil and food prices matter over time and bonds go lower; Tom thinks bonds go higher. Equities offer about 50 liquid underlyings versus one bond market. Kalshi puts a Democratic sweep at 76% (the Dog Pound says 54%) and Talarico over Paxton at 71%. The S&P was higher 12 months after all 19 midterms since 1950, but day-after moves were mixed. Tony buys diagonals for under half the strike width and takes profit around $1, or takes half off. On put debit spreads, one host prefers buying a put and selling a call. Tony prefers cutting the stock position in half. A caller is told a calendar has almost no delta, so they should leave it on and open a separate trade rather than shift legs.
Scott Galloway and Jessica Tarlov's Election Day livestream lands on an unhedged call: Galloway predicts a Democratic "super tsunami," and Tarlov, more guarded, says the data offers no case for even a decent Republican night. Galloway closes by pitching young men on his claim that Democratic administrations deliver more jobs, faster growth and smaller deficits.
The numbers. Reported: about 50 million early votes, Democrats past their entire 2022 Florida turnout by morning, Kalshi at 77% for a Democratic Senate, Lakshya Jain's model at 53–47 Senate and 239–196 House, Roy Cooper up 10–14 in North Carolina. Tarlov stresses that models were adjusted for possible Republican undercounting and that no high-quality poll is an outlier. Gas hit an Election Day record of $4.12, diesel $6.28; Galloway ties this to men driving 30% more and to job losses concentrated in male-dominated industries.
A Democratic Congress. Tarlov expects Speaker Hakeem Jeffries to lead on affordability and wishes oversight talk of the Trump family were kept quiet, since it motivates Republican turnout; she would build the platform from winning candidates, with the party still about 10 points less popular than Republicans. Galloway wants bills Trump must veto: a Medicare option, a corporate minimum tax, antitrust, defense cuts, codifying Roe.
Musk. Both expect hearings on DOGE, the inspector-general firings, contracts and Starlink in Ukraine. Galloway argues a Trump pardon leaves state and foreign prosecution open and may complicate pleading the Fifth.
Iran and Israel. Trump told Fox the $4 billion annual Israel aid ends at year-end; Galloway agrees, citing Israel's growth from a $40 billion to a $700 billion economy. Tarlov flags reported damage to about 24 US base structures in seven countries and reads Trump's restraint as a prelude to resumed strikes after the vote.
Bellwethers. Tarlov's early markers: Kentucky's 6th (Trump +15) at 6 p.m., Florida's 14th and 25th, the size of Darlene Graham's margin in South Carolina (five or less signals trouble), Brian Fitzpatrick in Pennsylvania's 1st, and New York's 17th, already headed to a hand count. Calling the House took eight days in 2022 and 2024.
Questions and close. Neither thinks Vance abandons Trump; Galloway expects tariffs to hold or ease as Republicans stiffen. Trump's impeachment is put near zero, Pete Hegseth's at 50-50 or higher. Galloway's tally since 1980: 2 million jobs a year under Democrats versus 1 million, GDP growth of 4.1% versus 2.1%, and deficits of 2.1% versus 2.8% of GDP.
Vijoy Pandey, who heads Cisco's incubation group Outshift, argues that the next layer of computing has to carry meaning rather than data: agents that are now connected still fail to think together, and Outshift has released open-source tooling to measure and correct that. He then extends Cisco's "horizontal scaling" thesis to quantum networking, where he reports a record entanglement-swapping result on New York fiber, and ends on the case for hardware that computes on probabilities.
From connected agents to silent failures. Pandey traces agentic computing from isolated agents, to "islands" of sub-agents inside one harness, to agents connected across vendors, clouds and organizations, which Outshift has deployed for 18 months across several verticals. Connection, he says, is not cognition. Agents pass valid messages but mean different things by them: "roll back" to an SRE agent is the last config, to a software-engineering agent the whole version, and "ready" means something different to sales, legal and engineering on a deal. A system can grow more consistent through these failures without growing more correct. Analysing their own deployments plus public ChatDev and MMLU traces, Outshift found at least one cognitive failure in every session, and accuracy of 98%, 83% and 16% at one, two and three failures, all invisible to standard observability.
A stack for shared cognition. He proposes three stages modelled on human teams: align intent and ground terminology; coordinate and negotiate from each agent's local incentives toward a global optimum; then verify the result at the semantic layer. He calls this the "internet of cognition" and frames it as the agent equivalent of language triggering collective intelligence about 70,000 years ago, crediting Michael Tomasello's work. The connectivity layer below it, he says, is converging: AGNTCY, A2A and MCP sit in the Linux Foundation, with common discovery, identity and the SLIM messaging layer.
What ships. The observability and explainability platform OXP reads OpenTelemetry traces and flags intent, coordination or verification drift. Like lane assist, it triggers a protocol only when drift appears: Accord locks a shared intent contract in four phases before work starts, and Concord resolves conflicts during a task. Both are open source and run as a skill, a sidecar, or over A2A, MCP and SLIM. Asked why Cisco funds this, he says Outshift de-risks markets before Cisco builds products, and that open ecosystems are more profitable for every player.
Quantum by networking. Cisco's niche, he says, is horizontal scaling, where others scale algorithms or build bigger machines. Useful quantum computing needs roughly 100,000 to 1 million physical qubits against about 1,000 today, so Cisco aims to network many nodes into one logical machine, routing qubits without measuring them. With Qunnect, NYU and a fiber provider, it ran entanglement swapping in February over 17.6 km of Manhattan–Brooklyn fiber through 60 Hudson, at rates he puts at 5,000 times beyond any lab result.
Probabilistic hardware. Agentic workloads are probabilistic but run on deterministic GPUs, a mismatch he says costs energy, money and size. Between binary and quantum lie classical-physics chips that compute on distributions: Extropic's thermodynamic systems settle into low-energy states, and Unconventional AI's oscillator chips settle into synchronized patterns. Both yield local optima, which he argues suits search problems such as drug discovery, where there is never a single best answer, only the best for now.
Dan Niles of Niles Investment Management, recorded the Monday before the midterms after a sharp tech selloff, holds that AI is heading for a "horrific bust" but that this drawdown more likely resembles 1997–98 than 2000. He is more negative than a year ago because capital is scarcer, and he trades week to week, long and short. He favours cash-flow-positive platforms and calls the neoclouds "toast."
Where the cycle stands. Six months earlier Niles forecast a 30–50% AI selloff by early 2027. He sizes AI at about 3.5% of GDP, more than highways, electrification and the internet combined, which he says guarantees overinvestment. Agentic AI needs 10–100x more tokens than chat, though, and enterprises are only starting.
Money and growth. He blames the pullback on two things. Financing is repricing: neocloud deals have been pushed out, CoreWeave debt trades at 15%, CDS have widened, and Meta, Oracle and OpenAI are all raising money ahead of Anthropic. Growth is slowing: OpenAI and Anthropic spend was up about 9x by early August and has been flat since, and Anthropic's sequential growth fell from 145% to 45%. He expects Anthropic's IPO to get done, but smaller and cheaper; a pulled deal would suggest the June 22 semiconductor peak was the top. OpenAI, stuck between Anthropic in enterprise and Google in consumer, gets squeezed, as AOL, Netscape and Nokia were.
Earnings, name by name. Microsoft is in the "catbird seat" because enterprises will pay for a safe environment, and Copilot sits on under 10% of 450 million 365 licenses. Google, down 31% from its peak, has query growth at a five-year high, so he sees a monetization problem. He expects consumers to reach AI through phones, which favours Google and Apple, but he will wait for the stock to bottom. On Intel he admits he was "completely just wrong." Chip prices are crushing PCs: Microsoft's Windows OEM line fell 7%, then 22%, and is guided down 35%. Apple's $130 billion-plus of trailing free cash flow, against Amazon's roughly $42 billion burn, explains why investors are hiding there. He expects a foldable phone to drive next year, much as the larger screen lifted growth from 7% to 28% in fiscal 2015. Nvidia is fine, but he argues long-term supply agreements won't save chipmakers in a downturn, recalling Cisco's order growth swinging from +70% to -30%.
Midterms and seasonality. Texas slowing data centers turned him more negative, and he links Microsoft's roughly $5 billion capex shortfall to the same pushback. Yet November averages +1.8% and is up 71% of the time, more so in midterm years, so equal-weight stocks may hold up.
Positioning, the Fed and oil. He recalls seven 14% rallies inside the 2000–02 bear market, in which the S&P lost about 50%. He expects Fed hikes from December, which he wants for the 40% of Americans without stocks or homes. With Brent above $100, he notes that 10 of the last 12 recessions followed sustained oil rises. His advice: don't assume every dip is a buying opportunity, because one of them will be March 2000.
The hosts read the morning's rally as unconvincing. The E-mini S&P was up about 50 and the Nasdaq about 200, after Friday's selloff that Sosnoff called "crash-like without the velocity". Sosnoff had wanted a capitulation, with Friday closing at its lows and the market opening lower, so there would be something to buy. Instead the market had already bounced roughly 100 handles and sat in "no man's land", and by the close of the show he thought a lower close today would not surprise him because the AI stocks carrying the market looked weak. The trade they pushed for viewers was contrarian put selling into the damaged names, sized small and defined where possible. They also argued that crude's fall was a bet on the midterms, not on the war.
Open and Friday's damage. The VIX was near 19.70, gold up about $70, silver up 3.5% to 51 and bonds up to about 108; crude was down $6–7. The hosts listed Friday's losing earnings trades in Reddit, Coinbase and Intel, and short crude calls that took three weeks to scratch. A question on Binance's $6 billion loss drew jokes about its pardoned CEO, not analysis.
Trade often or wait for the fat pitch. One host said his high-conviction setups have been 50-50 at best, so a trader should always be in and diversify by strategy, such as diagonals after 20–30% earnings moves. The other said every trade feels high-conviction when placed, but conceded that long-haul investors at all-time highs have done better. Gold puts sold just over 4,000, with gold later near 3,900, were the example of conviction failing on timing.
Viewer mail and calls. Credit spreads that lay 2-to-1 or 4-to-1 were defended as an 80–90% probability-of-profit play. Short puts are chosen over strangles when a stock is grossly oversold with high implied volatility, or when the trader simply wants to be long. A 30-year-old down 25% on Google, which is 20% of their portfolio, was told to lighten up on a rally toward 300–320, not at the lows. Rolling was defended as a continuation of the trade: the loss is already in the account ($10,000 to $9,000 is a loss whether realized or not), and rolling buys time and usually extra credit. For a $250,000 retirement account using covered calls, they argued covered calls use the most buying power of any strategy. They suggested synthetic or futures-based versions using 20–60% less capital, with the freed cash in short Treasury funds. Callers were told not to hold to 21 DTE on two-week bounce trades. The post-midterm 12-month rally record (about 19 of 20) was called not their style. The advice on cutting bait was to act as soon as the doubt arises. One segment also covered how to handle layoffs honestly.
Sosnoff's trades. He sold puts in Reddit (75s, $2), Robinhood (70s, $2), Intel (57.5s, about $2.40, 72% POP) and SpaceX (December puts, about $2.50, 86% POP). He said each sat near 84% POP and 16 delta, near multi-year lows, with buying power of $1,000–$1,900. He framed this as doing the opposite of everyone selling a breakdown. His co-host's caveat was that it only works if size was kept in reserve.
Earnings Radar. Scott Sheridan replaced Battista and demonstrated a new free Lossdog earnings tool. For example, it is said to show Apple staying inside its expected move 66% of the time across 56 reports. This was product promotion.
Small caps and market structure. Both hosts doubted the circulating claim that small caps averaged 42% from November of a midterm year to April, with no losing period in 80 years, though one said such a record would be tradable if real. One host argued that the market now trades almost tick for tick with roughly a dozen AI names, and that the midterms are priced in unless Republicans hold both houses. The other said Friday was not a one-off and cracks are showing: Meta is about 150 points off its high, Micron down nearly a third from 1,255, and AMD near 503 against 658. He sees room on the downside.
What counts as oversold. One host said a move through the expected move is oversold, though not a reason to pile in. The other said no threshold exists, citing his own too-early buying in 2001, late 2008 (30% lower by March 2009) and 2020. Intel, now around 64, was called "repriced" and unlikely to revisit 100. On bonds, one host said the drop to 101 flushed out sellers and expects slower gains from 107–108.
Oil. Sosnoff called crude's drop an election trade, not a geopolitical one. He predicted 90 before a return to 100, $10 lower before $5 higher, and said renewed strikes on Iran would need Republican control of both houses. Sheridan was less comfortable calling a top. Sosnoff said to trade oil only through /CL options, which are one tick wide on any number of legs and which he re-centres as a strangle each morning. Energy stocks and ETFs were rated two-and-a-half to three stars for liquidity.
Put credit spreads. One host gave the rules: 35–50 days to expiry (45 optimal), short strike at the expected move, credit roughly equal to the short delta times the width, and probability of success about 100 minus that. Management timing matters little. The trade-off is capped upside in exchange for defined risk. They called it a capital-efficient way to keep a little long delta and play positive drift, suggesting an Intel 57/52.5 spread as an example.
Recorded the day before the midterms, Scott Galloway and Jessica Tarlov read the final polling as a Democratic wave that is still growing, dismiss the weekend's Michigan drama as noise, and close on Galloway's case that Democratic administrations have delivered more growth with smaller deficits.
Michigan. Haley Stevens endorsed Republican Mike Rogers instead of joining Abdul El-Sayed at a unity event. Rogers' Kalshi odds rose from 23% to 32%, while El-Sayed raised $2.4 million on Sunday and half Stevens' staff reportedly resigned. Tarlov calls the concerns among Jewish voters real but the story incoherent; Galloway calls it a grievance that ends Stevens' career and changes no votes. The final New York Times/Siena poll has El-Sayed up 11, or 16 under its 2024 methodology.
Trump's final push. The same pollster's last survey shows Democrats leading in five Senate battlegrounds including Texas and Kansas, with Trump approval at 38% there and Democrats +9 on cost of living. Tarlov points to Kansas Senator Roger Marshall's self-made video defending medical-debt collection (18% interest, suits over as little as $101) and expects Florida and Texas gerrymanders to net Republicans only a seat or two each. Galloway notes young voters moving from 53–44 Democratic in 2024 to 68–23, and he predicts a "super tsunami."
Contested results. Alaska Senator Dan Sullivan says he will accept the results while accusing Mary Peltola's side of recruiting a same-name candidate. A federal judge threw out a Justice Department suit that could have delayed certification. Galloway's thesis is that challenges can delay seating but courts rarely overturn a declared winner. Both argue Democrats should not disarm unilaterally while Republicans run similar plays.
Iowa. Both hosts back Josh Turek's ad opposing males in female sports as common sense in Iowa, and Galloway urges Democrats toward the center and economics.
Los Angeles. Karen Bass and Nithya Raman are tied at 40%, after eight of nine prior polls favored Raman, who wins 74% of 30–39-year-olds. Tarlov predicts Bass holds on, while Galloway predicts she loses and calls the Olympics dispute a distraction.
Data and governors. A GOP-aligned super PAC has spent over $1.5 million in Ohio boosting a socialist candidate polling around 5% against Sherrod Brown. Tarlov flags governor's races in Georgia, Wisconsin (David Crowley up three to four), Michigan and Nevada as underwatched.
Closing. Galloway's averages since 1980 put Democratic administrations at 2 million jobs a year versus 1 million, GDP growth of 4.1% versus 2%, and deficit additions of 2.1% of GDP versus 2.8%. He urges young men to vote on that record. Tarlov closes with news of Senator Chris Murphy's stroke at 53 and doctors' optimism about a full recovery.
Renze argues that getting good results from AI agents is mostly about managing their context and their decisions, and that old software engineering discipline still applies, rechecked wherever agents differ from people.
Research. He studies cognitive architectures for LLM agents: planning, self-reflection and memory modules borrowed from how brains work. An agent explores combinations, runs as many as 70-plus experiments a week, and picks follow-ups, while he supervises and steers it. He targets gaps between academia and industry, often alignment and interpretability work nobody funds.
Sessions and memory. He keeps sessions under about 200,000 tokens to avoid decoherence and context rot, and prefers summarizing step by step to compaction, which can silently drop rules. Episodic, semantic and procedural memories are built from processed session files.
Skills. Procedures repeated three or more times become skills. A discovery meta-skill finds the candidates, and skills log their own errors so they improve.
Multiple agents. He runs three to five agents at once and sees juggling them as a skill of its own. To cut interruptions, agents escalate uncertain decisions through a cross-vendor second opinion, a third model and one round of debate before reaching him. He describes a spectrum from chatbots through agentic workflows to persistent autonomous agents and multi-agent "agencies".
Practice. He has barely written code since January. Unguided agents write bloated, over-defended code; given classic best practices they write well, and he only rethinks a practice when agents' different constraints break it.
Chuck tests a sponsored early engineering model of a wireless GPU box (an RTX 5090, a mini PC and a 4 TB SSD) from a new company whose name the captions garble. It games over Wi-Fi at 92 fps and runs the 750-billion-parameter DeepSeek 4.1 Flash at about eight tokens a second on 32 GB of VRAM. His verdict: it is impressive and should improve.
Gaming over Wi-Fi. Wi-Fi is about 1 Gbit/s at 1.5 ms, against PCIe's 512 Gbit/s at under a microsecond. A fake driver presents the remote 5090 as local. The protocol bundles instructions, sends only changed data, predicts answers and returns compressed video, cutting about 8 Gbit/s to 400 Mbit/s. Some of the team came from cloud gaming.
Big models off an SSD. The model needs over 500 GB of memory. Run from an SSD, it would take minutes per word even as a mixture-of-experts model. Aligned expert chunks raise SSD reads from about 1 to 11.5 GB/s. Popular experts stay in VRAM and RAM, and the CPU and GPU split the math. Chuck's live test showed 3–15 tokens a second.
Sharing the GPU. Any one model can fill the VRAM. A scheduler parks idle models on the SSD, cutting app switches from 17–18 seconds to 4–9 seconds. The box is on sale in 5090 and 5060 Ti versions, shipping in about 8 weeks.
Caro ends where Patel nudged him: America needs "a little Moses" — someone with the political genius to get big things built over the objections of property owners — but not Moses's ruthlessness. He sees no stable middle between the extremes, only rare individuals who break a stall, and holds that Johnson's domestic laws likewise depended on one man's will.
Can anyone build now? Patel put the overcorrection case: the Second Avenue subway's mile and a half for over $4 billion, California's ~$15 billion with no new rail. Caro refused the premise that safeguards are new: the 1920s also said nothing could be built, and Moses, without eminent domain, built the road to Jones Beach anyway. He doubts a "good spot" exists.
How Moses changed. Caro insists the book does not condemn everything Moses did; hundreds of pages cover the young reformer. Power hardened him into the builder of the Cross Bronx Expressway, which evicted tens of thousands without relocation, and the man who destroyed Henry Epstein by exposing an affair. Caro's one question for an eighth interview would be whether Moses realized he was changing; he thinks not. Governors could legally fire him, Caro conceded, but for decades his popularity and interlocking posts made it practically impossible, until Rockefeller accepted his 1962 resignation threat.
The Depression's role. Caro agreed cheap, available labor mattered: thousands of jobless architects lining up on Fifth Avenue, workers fired at will. The same cheapness, he suggests, explains rooftop carving nobody can see.
Johnson's power. Asked whether persuasion or leverage mattered more, Caro said leverage sat behind the persuasion: a senator knew Johnson controlled his committee seat or bill. A President Kennedy with Johnson still majority leader would not have produced the 1963–65 laws, lacking Johnson's drive to change America. Caro declined to explain the Vietnam escalation, still working it out.
Method and the archive. He fixes each book's point in a sentence before writing. Digital archives speed finding, but finding is small against reading. He cut The Power Broker's 1,050,000-word manuscript by 350,000, holds roughly 700 interviews for it, and gave his files to the New-York Historical Society for much less than rival offers so they would stay accessible in New York.
Loneliness. Caro sees the frontier's isolation, Johnson's mother's above all, as underappreciated heroism, and describes his own phone-off working days as shaping his whole life.
Supabase co-founder and CEO Paul Copplestone ends this Lightcone episode betting that everyone with access to AI becomes a builder, that each will want a database of their own, and that Supabase must serve that from first prototype to petabytes while staying the most adaptable company in a durable category. The YC partners, who invested in Supabase, frame it as the shift from "make something people want" to "make something agents want."
The inflection. Copplestone reports 13 million signups, up from about 3 million a year earlier; revenue growing 4x this year; roughly a million databases created a week; and databases under management approaching 50 million against 8 million. A partner puts new activity at about 70% agent-driven. Copplestone attributes it to coding agents and to non-engineers arriving, and notes that activation and conversion are rising with signups, which he finds unusual. He sees no ceiling yet on product-led growth.
Three eras. Supabase began as an Airtable-like dashboard on Postgres because even developers struggled with databases; added a provisioning API around 2021 for one customer, which suited the app-builder platforms in 2024; and this year, seeing that nobody visited the dashboard, Copplestone ordered the company code-first. He credits open source, being the LLMs' default pick and agent-directed error messages: agents must first choose you, then not switch away when stuck. Evals and testing now absorb much engineering effort.
Personal databases. Garry Tan describes his own "control tower" for email, finances, health and a CRM, kept in Supabase so any agent can sit on top, and explains GBrain, his retrieval and graph layer over half a million markdown files, which he improves with agents looping against his own evals. Copplestone codes by voice without reading the code, to experience Supabase as next year's non-technical user will.
Scale and business model. If ChatGPT's 1.2 billion weekly users each launched something monthly, that would be 1.2 billion databases a month. The Turso acquisition gives a light SQLite-compatible tier and Multigres scales up; the model is AWS's, with Copplestone citing, unverified, that about 40% of its revenue comes from startups that grew on it. Since migrating databases is near impossible, the aim is to be there on day one.
Lessons. Copplestone relies on the Lindy effect: databases have lasted 50 years and will survive AI. He prescribes dogfooding, spare team capacity for partner bets that mostly flop, and resisting corporate stagnation. Separately, a partner observes vertical SaaS companies at $5-10 million ARR struggling to raise Series A rounds while small teams reach profitability without it.
Amy Blackshaw of Palo Alto Networks argues that AI has made attacks cheap and fast without making them new, so the decisive defence is identity security: removing standing privilege for humans, machines and agents, starting with admins, before autonomous exploitation becomes routine.
Economics, not new techniques. Nearly every breach, she says, comes from an attacker using an identity they should not have. AI removed the cost of the expert reasoning that chained vulnerabilities together. Her Hugging Face example: agents inside for 4.5 days, about 17,500 actions, reaching cluster admin through a plain-text password, a master key to 136 doors and an unreviewed admin service account.
Speed demands AI defence plus identity. Unit 42 sees about 72 minutes from foothold to impact in real incidents, 25 in simulations. Defenders need AI in operations and patching, but a trusted identity evades detection, so it must be secured first.
The trust window. Privilege now touches every user, so each key is judged by duration and reach. Zero standing privilege with policy-driven just-in-time access limits exposure without friction. Agents, autonomous like people but provisioned like code, need task-length credentials.
Scott Galloway and Jessica Tarlov, five days before the 2026 midterms on Raging Moderates, read the map as shifting toward Democrats, with real openings in red-state Senate races, and argue the remaining risk is self-inflicted: equivocating Democrats and dirty tricks that cut both ways.
The money and the map. Galloway calls this the most expensive midterm ever, with Senate races at $3.2 billion, nearly the whole 2024 presidential spend. South Carolina is a New York Times–Siena tie, which Fox News now rates a toss-up; Tarlov still sees Texas, with James Talarico against Ken Paxton, as the likelier upset. Kalshi gives Democrat Amy Acton 78% in Ohio's governor race after a Ramaswamy ad backfired. CNN has Democrats up 6 in Texas, 7 in Michigan and 4 in both Kansas and Maine, and Larry Sabato's Crystal Ball shifted 21 races toward Democrats.
Georgia and Alaska. Galloway reads Obama's rally for Jon Ossoff as national branding for the party; Tarlov says Keisha Lance Bottoms, outspent by billionaire Rick Jackson, needs Ossoff's coattails. Black voters are 36% of early Georgia ballots. On Alaska's second "Dan Sullivan," Galloway welcomes Democrats playing hardball; Tarlov calls it a dirty trick Republicans have long used.
Michigan. Galloway says Haley Stevens's tepid support for Abdul El-Sayed, with her fiancé backing Mike Rogers, is a non-endorsement. Tarlov calls Jewish voters' concerns real but predicts El-Sayed wins on cost of living.
Israel and age. Netanyahu, short of a clear win, alleges fraud at Arab polling stations, which police say lacks evidence; Tarlov expects another election within months. Galloway cites 75% support for Israel among his age group against 25% among under-25s, and proposes leaders over 72 step down.
Halftime and CTE. Galloway suggests the NFL is talking up Jay-Z's halftime booking to bury a study finding CTE in 75% of NFL players who died between 2008 and 2023.
Questions. Tarlov says the administration resists court orders but ultimately complies, and that the House gavel would matter more. Galloway casts Trump's last 24 months as a supermarket-sweep grab and credits early lost elections for his tolerance of failure.
The hosts read the day as a soft, tech-led market. Alphabet's earnings miss dragged the Nasdaq down 400–550 points while the S&P stayed only a few points off all-time highs and volatility barely moved. Tom Sosnoff's view is that the "velocity of risk" is to the downside: he stays short index futures, and expects any midterm surprise to come on the downside even though he calls the event itself priced in. What they want from the viewer is to keep trading earnings mechanically in small size, stay roughly delta-flat into the election, and skip the stories that sound tradable but aren't: the boomer-retirement "sell-off", 24-hour options, collars.
Open and market read. Google fell about $41–44 against an expected move of about $24–25. Microsoft was a winner: one host's $1 strangle was bought back for 5–10 cents. Google and Boeing are the two losers of the earnings season so far. VIX futures were near $18.55–18.70, and one host says volatility bought ahead of the midterms, the Fed and earnings proved not to be cheap. Sosnoff cites a little over three standard deviations to the downside on Brazil's election. A co-host says that cannot be equated to the US, and that downside skew already prices it. Sosnoff counters that his own worst earnings losses, in Google and Microsoft, were both to the upside. Nasdaq IV rank was 57 against 36 for SPY.
Paper trading. Sosnoff built thinkorswim's Paper Money, which he says was downloaded close to 20 million times. He says it is good for learning a platform but misleading on fills, because trades fill at mid-price, especially in SPX. He says tastytrade never built one because, once commissions went to zero, the support load could not be paid for.
Callers. "Uncomfortable" on a naked put means an underlying carrying too many long deltas for the account. That might be 50–100 deltas or 300–500 depending on the account; Sosnoff's own example is a Google strangle that needs its calls rolled down. Once risk is defined, buying power is irrelevant: Micron at $1,000 and SoFi at $15 are the same trade. On the election, the hosts adjust only by flattening deltas, and Sosnoff expects a non-event. On Google after earnings, a caller who bought shares and sold puts is told that doubles up. One host would instead sell a 1x2 put ratio closer than usual, with the long at 30–35 delta rather than the usual 15–20, for a $3–5 credit. Emails. The wheel is a bullish strategy that exists only because there has been no extended bear market since 2009. The Nasdaq fell 80% from 2000 to 2002–03. One host adjusts iron condors by moving only the short option, taking more buying power, a bigger credit and more one-sided risk. Spreads below the long strike get rolled out a month or have a call side added; the long put is never sold. Options listing on new IPOs has gone from over a month to near-immediate, with Anthropic predicted within 48 hours. Short spreads go at the expected move and long spreads one strike either side of the money. Against a caller who calls crypto a Ponzi scheme, one host holds four or five coins at well under 1% of net worth.
Battista's trades. SpaceX: a December 150/160 call spread plus a short 140 put, with the 115 put bought to cut buying power from $6,500 to $1,500. Nvidia: a mid-November 220/227.5 call spread for $3.60, expiring before November 17 earnings; Sosnoff says it can be filled 30–40 cents better. Robinhood: buy one December 90 put and sell two 85s for $2.26, said to be 85–87% probable and to use $1,400 of buying power. Boeing: a November 175/182.5 call spread for $3.88, a delta play with IV rank at 22.
Discipline. Sosnoff says a customer's study of his roughly 670 trades over a month found him 95% within his own stated mechanics.
Mortgage resets. On 3.1 million ARMs, about 6% of mortgages, resetting 3–4 points higher, one host says it cannot be bullish because the money simply vaporizes. The other says homeowners are A-grade paper. The real threat, in their view, is junk-rated companies refinancing 6–9% debt at 14–17%, which "could take down this market".
Three-name earnings strangles. Selling 16-delta strangles in Alphabet, Amazon and Intel diversifies, but across binary events. The hosts call it the best available short of going directional or sitting out. Trading stock after hours against short premium is ruled out by the Microsoft reversal. Pre-open Google options were $6 wide with no market makers and zero volume, so 24-hour trading is dismissed. Lossdog's beta earnings tool and the One Lucky Dog app, awaiting Apple approval, get product pitches.
Retirement wave. On 16–25 million workers retiring over five years, one host says the same story has run for 30–40 years. Boomers' $30 trillion is 54% of equities, but the top 10% hold two-thirds and need not sell, so roughly $10 trillion trickles out against new younger buyers. Sosnoff says timing makes it untradable: at most, lighten up at record highs.
Benchmarks and collars. Sosnoff says benchmarks matter only when someone else manages your money; self-managed money should be measured against the risk-free rate. A co-host insists that rate is itself a benchmark, and they agree to disagree. Neither host uses collars much. They say a locked-up IPO holding that fell from $250–300 to $110 would have suited one. Otherwise collars give up edge and only buy duration.
Risk and allocation. A caller cites Kevin O'Leary's rule of $5 million in T-bills at 5% ($250,000 a year) before taking risk. Sosnoff says to be all-in through your 20s and 30s. He says he and Scott Sheridan put their first $5 million into thinkorswim, which became a billion-dollar company; O'Leary's rule would have meant quitting. Sheridan agrees on risk when young but says scaling back with age is fine.