Deep Dive

On October 13th, JPMorgan's finance chief was asked what happens if an AI agent does something you didn't want. His answer: "That's going to be on them." Within ten days, most of the country's biggest banks had moved to block or restrict AI agents like Meta's Muse. The stated reason is rogue agents.

Underneath sits a 1978 federal law that sorts electronic transfers through two doors. Through one, you gave the access, so the loss is yours. Through the other, the access was stolen or tricked out of you, so the bank pays. No court or regulator has said which door an AI agent walks through.

We read the contracts Chase and Wells Fargo wrote before the lockout went public, Meta's own terms, a federal judge's September 3rd ruling, and the money underneath: roughly $350 a year on every $10,000 in a big-bank savings account. Then the strong case against that money theory, what to do before you give any app your bank password, and three dated predictions.

As of November 8th, 2026. Wells Fargo's new terms take effect on November 24th.

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CHAPTERS

00:00 "That's going to be on them"

01:06 What this episode covers

01:35 Meta's Muse and the road to your bank

02:23 The wall goes up

03:54 What the banks actually reported

05:08 The 1978 law with two doors

07:18 An AI agent in the doorway

09:01 A judge rules on the human version

09:49 Regulators leave the gap open

11:10 The agent maker's terms

12:27 Contracts written before the lockout

15:40 The money: your savings

18:47 The case against the money theory

20:32 How long does the wall stand?

21:43 What to do now

22:42 Three predictions

SOURCES

JPMorgan Chase Q3 2026 earnings call transcript: https://www.jpmorganchase.com/content/dam/jpmc/jpmorgan-chase-and-co/investor-relations/documents/quarterly-earnings/2026/3rd-quarter/3q26-earnings-transcript.pdf

Wells Fargo Online Access Agreement (effective Nov 24, 2026): https://www.wellsfargo.com/online-banking/online-access-agreement/upcoming/

CFPB, Electronic Fund Transfers FAQs (Regulation E): https://www.consumerfinance.gov/compliance/compliance-resources/deposit-accounts-resources/electronic-fund-transfers/electronic-fund-transfers-faqs/

Court order, N.D. Cal. (Sept 3, 2026): https://storage.courtlistener.com/recap/gov.uscourts.cand.471937/gov.uscourts.cand.471937.18.0.pdf

Meta Muse terms: https://muse.ai/terms

On October 26th, Anthropic's public S-1 left its biggest number blank. On November 2nd, an amendment filled it in: approximately $895.4 billion, and the same page says $213.8 billion of it carries termination rights or conditions. As of November 2nd, 2026, here are six honest answers to how much Anthropic owes, from $6.2 billion borrowed to more than $1 trillion. Plus the third quarter, what Amazon, Alphabet, SpaceX and Broadcom told their own shareholders, and three new dated calls.

Disclosure: this show is made with Claude, and Anthropic makes Claude. Check the sources, not the brand.

OUR RECORD ON ANTHROPIC, MISSES INCLUDED (beyond the three calls scored on air)

From The Anthropic IPO: What the $518 Billion Bill Actually Says

- Moved: Microsoft near $31 billion; an October amendment made it at least $44.9 billion.

- Miss: we called AMD flexible. It can't be cancelled without cause.

- Moved: big contracts at about $71 billion a year by 2028; on the October 26th filing, about $96 billion.

- Miss: a second paper charge of $9.4 billion, on notes with Google and Amazon.

- Miss: the charge can keep running after the IPO.

- Miss: Anthropic's charge ran about $15 billion past Amazon's pre-tax gain on the same notes.

- Depends on the count: Fortune's $657 billion clears $518 billion; its $498 billion noncancelable doesn't.

- Can't be graded: SpaceX's report had no cloud-only figure.

From Two Models on Purpose

- Miss: an S-1 within 90 days. It came 73 days late. Miss: no October IPO.

- Hit, wrong reason: government revenue under 3%. The filing says under 2% in every period.

From How Anthropic's Security Team Tracks Anti-AI Activists

- Hit on dollars: a CEO security perk of at least $1 million. The filing shows $2,745,874 for 2025.

From How Anthropic Actually Makes Money

- Half answered: a projected $559 million quarter came in at $974 million of operating profit, unaudited.

- Answered: the third quarter was a $567 million operating loss, though adjusted operating income rose.

- Answered: the chips and data centers are mostly rented.

Still open: a giant AI listing ends 2026 below its offer (The SpaceX IPO: Why the Biggest IPO in History Loses Money); the IPO slips or prices below a $380 billion value (How Anthropic Actually Makes Money).

Totals labeled as ours are our arithmetic; the filing states none of them.

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The Anthropic IPO: What the $518 Billion Bill Actually Says

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CHAPTERS

00:00 One number left blank

01:54 Scoring our own October calls

02:37 The miss: SpaceX's ceiling

04:03 A hit, and why it's worth little

05:49 Six answers to how much Anthropic owes

06:50 The headline: $895.4 billion

09:30 Anthropic as a $60,000 household

10:50 What the third quarter changed

12:14 Was the second quarter the peak?

12:47 What Amazon told its shareholders

14:15 Alphabet, SpaceX and Broadcom

18:09 The founders, and the case on both sides

20:55 Three new calls

22:20 Check it yourself on EDGAR

22:53 So how much does Anthropic owe?

SOURCES

Anthropic S-1/A (Nov 2, 2026): https://www.sec.gov/Archives/edgar/data/2130357/000162828026068676/anthropicpbc-sx1ax1.htm

Anthropic S-1 (Oct 26, 2026): https://www.sec.gov/Archives/edgar/data/2130357/000162828026067168/anthropicpbc-sx1.htm

Amazon 10-Q, quarter ended Sept 30, 2026: https://www.sec.gov/Archives/edgar/data/1018724/000101872426000040/amzn-20260930.htm

Broadcom 8-K (Oct 26, 2026): https://www.sec.gov/Archives/edgar/data/1730168/000119312526434271/d148323d8k.htm

———

This episode is for educational and informational purposes only and does not constitute financial, investment, or trading advice, nor a recommendation to buy or sell any security. Deep Dive is not a registered investment adviser and holds no positions in the companies discussed. All investing involves risk. Consult a licensed financial professional before making investment decisions.

On July 24th, 2026, the Secretary of Homeland Security ordered every civilian federal agency to stop buying DeepSeek's products and remove them, or ask for an exception within 60 days. That window closed around September 22nd. The public found out on October 19th, a day before the order ran in the Federal Register. Its reasons are mostly about where data goes. What it orders removed is wider: third-party products and services developed using DeepSeek implementations. The order never says what that means.

We read the four-page order itself: seven public sources, one technical audit (of DeepSeek's iPhone app), and a footnote about a DeepSeek AG that appears nowhere else in it. Then the quiet 2018 law behind it, the Federal Acquisition Supply Chain Security Act. This is Homeland Security's first order under it and the first in the Federal Register. We cover the heavier tools Commerce hasn't used, and Kaspersky's seven-year climb. A disclosure: this show is made with Claude, Anthropic's model, and Anthropic competes with DeepSeek. The Pentagon used the same law against Anthropic in March, and on September 25th the appeals court in Washington upheld it, two votes to one.

Then what those two words reach. DeepSeek gives its model away: about 50 million downloads of R1 on Hugging Face, 524 models built from it, copies sold by Amazon and Microsoft, and a top DeepSeek model on OpenRouter served by 29 companies, none of them DeepSeek. We weigh the case for the broad reach (NIST's own test of the downloaded model, CrowdStrike's Tibet-prompt finding) and the case against it, how a contractor would ever check, and who pays. Then China's answer, including the October 16th draft whose compute line for model weights is the one the United States drew in January 2025 and scrapped that May. Plus what it means for you, and two dated calls.

CHAPTERS

00:00 Issued in July, public in October

01:50 Four pages, printed as images

02:58 The order's reasons: where data goes

03:37 Seven public sources, one app audit

04:34 App versus model, and a stray footnote

05:23 The quiet 2018 law behind it

06:36 The heavier tools nobody used

07:19 Kaspersky's seven-year ladder

08:04 A disclosure, and the Anthropic case

09:23 Two words: developed using

10:11 Read literally: Amazon, Microsoft, NVIDIA, vLLM

11:14 One model, 29 companies serving it

11:53 The line earlier bans drew

12:41 NIST's test of the downloaded model

13:24 CrowdStrike and the Tibet prompt

14:26 The case for the broad reach

15:04 The case against it

15:45 A release on the day of the order

16:12 How would anyone enforce it?

17:41 Who pays: the Huawei precedent

18:09 Who in government was using DeepSeek?

18:54 Beijing's answer

19:40 China's draft export list

20:08 The line Washington walked away from

21:15 Response or coincidence?

21:58 What it means for you

22:51 Two calls, with dates

23:25 Where the two words end

SOURCES

The order, Federal Register, Oct 20, 2026: https://www.govinfo.gov/content/pkg/FR-2026-10-20/pdf/2026-21447.pdf

41 U.S.C. 1323 (the 2018 law): https://www.govinfo.gov/content/pkg/USCODE-2024-title41/html/USCODE-2024-title41-subtitleI-divsnB-chap13-subchapIII-sec1323.htm

Lawfare on Anthropic's rehearing petition: https://www.lawfaremedia.org/article/why-anthropic-is-asking-for-a-rehearing-en-banc

National Law Review on the D.C. Circuit ruling: https://natlawreview.com/article/dc-circuit-upholds-anthropic-fascsa-designation-and-endorses-broad-interpretation

NIST CAISI evaluation of DeepSeek: https://www.nist.gov/news-events/news/2025/09/caisi-evaluation-deepseek-ai-models-finds-shortcomings-and-risks

CrowdStrike research: https://www.crowdstrike.com/en-us/blog/crowdstrike-researchers-identify-hidden-vulnerabilities-ai-coded-software/

The Register, Oct 20, 2026: https://www.theregister.com/security/2026/10/20/deepseek-deep-sixed-at-all-us-federal-civilian-agencies/5304010

Global Times on China's draft list: https://www.globaltimes.cn/page/202610/1372405.shtml

Send the same request to the same AI grader, byte for byte, at temperature zero, a day later, and 22 times out of 100 its ranking of the answers comes back different. Replayed the same day, it changed just as often, and on all four providers tested, rankings moved. That grader, an LLM judge, is the same kind of instrument that helps pick what chatbots learn from and scores the benchmarks in launch posts. Since July 2026, one of them also casts votes on Arena's leaderboard, the one that was supposed to be human.

The teach first: what a judge is, why the industry adopted one at about half a cent a grade despite flaws documented in 2023, and its four jobs: what a model reads, what it learns to say, the launch headline (Gemini 2.5 scored 79 percent on Arena-Hard with Gemini 2.5 as judge, and 49 with GPT-4.1), and the leaderboard. Then what a judge physically is: Thinking Machines Lab sent one prompt 1,000 times at temperature zero and got 80 different answers, because the batch a request lands in changes how the chip rounds the arithmetic. With batch-invariant kernels on, all 1,000 matched. Along the way, a correction to our episode How LLM Inference Actually Works, which called temperature zero fully deterministic.

Then the audit, limits first: Haoyuan Zhu of the University of Sheffield and Jie Zhang of Ranplan Wireless, posted to arXiv on September 3rd, 2026, with no peer review. Their grader needed a ranking agreement of 0.9 and got 0.4, mostly because the answers were near-ties, as the authors say themselves. In a byte-for-byte replay, 78 of 100 rankings came back identical against a bar of 99. Running the grader yourself with the fix came close on a quiet machine but didn't reach it. Then who's exposed: OpenAI switches off two of the founding graders on October 23rd, 2026, and GPT-4.1 on January 14th, 2027, so their scores can't be rerun. And what you can do: replay 100 of your own evaluation requests, run a pilot before you set a pass mark, and ask the grader five times when a verdict matters.

CHAPTERS

00:00 Same request, a day later

01:47 What an LLM judge is

02:48 Judging LLM-as-a-Judge, 2023

04:40 Four jobs, starting with what models read

05:35 The launch headline

06:34 The leaderboard that was supposed to be human

08:00 When the automated checks said fine

09:08 One prompt, a thousand times

09:50 Why the batch changes the arithmetic

11:30 A correction on temperature zero

12:00 Even zero isn't a promise

12:42 Same name, different behavior

13:18 Anthropic's August 2025 bugs

15:45 The audit, limits first

17:27 A grader that never passed

19:16 Close contests at the top

19:56 78 in 100

20:39 Four providers and the self-hosted fix

22:02 The sharpest criticism is in the study

22:22 Validity versus reliability

23:14 The cheap fixes

24:30 Who's exposed

26:01 What deterministic serving costs

26:47 What you can do

27:37 The grader was never a ruler

SOURCES

Zhu & Zhang, arXiv, Sep 3, 2026: https://arxiv.org/abs/2609.04198

Thinking Machines Lab, Sep 10, 2025: https://thinkingmachines.ai/blog/defeating-nondeterminism-in-llm-inference/

Zheng et al., Judging LLM-as-a-Judge, 2023: https://arxiv.org/abs/2306.05685

Anthropic postmortem, Sep 17, 2025: https://www.anthropic.com/engineering/a-postmortem-of-three-recent-issues

OpenAI on GPT-4o sycophancy, May 2, 2025: https://openai.com/index/expanding-on-sycophancy/

Arena, AutoEval, Jul 30, 2026: https://arena.ai/blog/autoeval-scores

Arena, judge study, Sep 30, 2026: https://arena.ai/blog/llm-judge-self-preference

Chen, Zaharia & Zou, 2023: https://arxiv.org/abs/2307.09009

OpenAI API deprecations: https://developers.openai.com/api/docs/deprecations

On October 12th, 2026, a consortium of newsrooms — the Bureau of Investigative Journalism, BBC Panorama, the Guardian and OCCRP, inside the Cyprus Confidential leak led by ICIJ — set out how, in their reading of leaked emails and draft accounts, Deloitte's Cyprus office and its spin-off MeritServus helped Roman Abramovich's companies backdate more than 1,000 corporate records between 1999 and 2013, then certified the accounts as true and fair. The emails are not public. Everyone named denies wrongdoing or did not respond; Demetris Ioannides, who founded Deloitte's Cyprus practice, is 83 and through his lawyers unable to respond. No court and no regulator has ruled.

The paper first: four schemes in the consortium's telling. A Cyprus company holding about $1.8 billion in cash that paid $15,000 of tax for two years. A château, a 424-acre estate and a $150 million yacht written out of a company's accounts on a sale agreement dated January 2003 and drafted in November 2006. A holding company with more than $10 billion beneath it, swapped for a BVI twin with the same name. And a $98 million consultancy fee the Bureau reads as a payout, 99.9% of it to Abramovich as commission, on promissory notes carrying his signature.

Then the audit. Every auditing standard assumes the auditor arrived after the paperwork existed; ISA 240 lets an auditor treat records as genuine unless there is reason to believe otherwise, and the ethics code calls the alternative the self-review threat. The 2005 split that spun MeritServus out of Deloitte Cyprus was supposed to solve exactly that, and ICIJ found Ioannides on a Deloitte subsidiary's board until mid-2023.

Then who could act: Cyprus, where the auditors' overseer says it is taking all necessary actions and no case has been announced; Britain, where HMRC has said the same sentence twice; Jersey, where over $7 billion has been frozen since April 2022; and the £2.5 billion from the Chelsea sale, frozen in a British bank and earning at least £175 million of interest while not a pound reaches Ukraine. Three dated predictions close it. As of October 15th, 2026.

CHAPTERS

00:00 Fifteen thousand dollars

01:04 A leak, four newsrooms, and the denials

01:50 Your pension fund has an auditor

02:34 The pile of paper

03:46 What backdating actually involves

04:21 Scheme one: making $2 billion disappear

08:04 Scheme two: the château

11:49 Scheme three: pick a company, any company

14:41 Scheme four: the signature

16:25 The 2008 case

17:42 Why didn't the audit catch it?

18:42 Is a backdated document always improper?

20:01 The hard points

20:44 What the standards assume

22:28 The 2005 split

23:45 Altered papers, the other way round

26:33 Who could act: Cyprus

29:26 Britain, Jersey, and the Chelsea money

32:50 Who you'd even sue

33:56 What the signature promises you

34:57 What you can do

35:32 What to watch

36:27 Three predictions

37:09 One thing to keep

SOURCES

OCCRP, Oct 12, 2026: https://www.occrp.org/en/project/cyprus-confidential/deloittes-office-in-cyprus-helped-abramovich-firms-relocate-billions-of-dollars-in-assets-in-apparent-bid-to-sidestep-tax-and-transparency

The Bureau of Investigative Journalism, Oct 12, 2026: https://www.thebureauinvestigates.com/stories/2026-10-12/how-deloitte-helped-abramovich-hide-10bn

BBC Panorama, Oct 12, 2026: https://www.bbc.com/news/articles/c64g1l5389kvo

The Guardian, Oct 12, 2026: https://www.theguardian.com/world/2026/oct/12/roman-abramovich-aides-paperwork-tax-records-suggest

ICIJ, Nov 2024: https://www.icij.org/investigations/cyprus-confidential/deloitte-held-close-ties-to-a-now-sanctioned-cyprus-firm-accused-of-shielding-oligarchs-wealth-records-reveal/

High Court, Yugraneft v Abramovich, 2008: https://caselaw.nationalarchives.gov.uk/ewhc/comm/2008/2613

Cyprus Mail, Oct 15, 2026: https://cyprus-mail.com/2026/10/15/audit-watchdog-investigating-deloitte-cyprus-run-by-a-former-manager

On August 6th, 2026, AMD announced it was buying Taalas, a Toronto startup whose chip, the HC1, has the weights of one AI model, Llama 3.1 8B, etched into its wiring at the factory. It can never run anything else. The company claims 17,000 tokens a second to a single user, more than 70 times an NVIDIA H200. No independent lab has benchmarked it; every multiple in this episode is the company measuring itself.

The machine first. Every token a chatbot writes re-reads the whole model from memory, and the AI hardware industry is organized around widening that toll road. Taalas deletes it: one transistor stores a weight and does its math. No HBM, no advanced packaging, no liquid cooling, on 2019-era 6-nanometer silicon. The model lives in 2 of the chip's 100-plus layers, so a new model is a reprint of 2 stencils, which the company says takes about 2 months. One model is in silicon so far, and that first chip took two and a half years.

Then the money. Token prices fell a thousand-fold in three years and AI application companies still average 38% gross margins, because competition drags every product onto the newest, most expensive model. Etching turns the model from a running cost into a fixed asset, rent into mortgage, at three-quarters of a cent per million tokens by the company's own number. The founder, Ljubisa Bajic, said on camera that the approach starts winning once a model is held for about 3 months. In 2022, on an MIT stage, the same man said hardwiring had been wrong every time.

Then the wave: NVIDIA buying Groq's assets for about $20 billion on Christmas Eve 2025, the AMD and Cerebras partnership, AMD and Taalas, Qualcomm reportedly circling Tenstorrent. The bet on trial, Etched's warning, the Bitcoin-mining precedent, four dated predictions, and the one tell you can watch in your own tools.

CHAPTERS

00:00 Disclaimer

00:08 Wrong every time

00:58 Three questions

01:29 The toll road every token pays

02:37 The model is the compute

03:57 Built on 2019-era silicon

04:27 The company's own numbers

05:46 The precision catch

06:11 The model is a print run

07:22 One model in silicon so far

08:04 Compute, priced like payroll

09:07 Token prices fell, margins didn't

10:36 Rent versus mortgage

12:25 The three-month line

13:39 The man who built what he'd ruled out

16:45 Eight months, four moves

18:21 Where specialization stops

20:14 The bet on trial

22:00 The bull case and Bitcoin

23:17 Science or infrastructure?

24:41 Four predictions

25:33 Your own tell to watch

SOURCES

AMD press release, Aug 6, 2026: https://ir.amd.com/news-events/press-releases/detail/1296/amd-acquires-taalas-to-advance-compute-solutions-for-rapidly-growing-ai-inference-market

Taalas HC1 product page (specs; 'technology demonstrator'): https://taalas.com/products/

Taalas manifesto (2-month respin, 24 people, $30M): https://taalas.com/the-path-to-ubiquitous-ai/

The Next Platform, Feb 19, 2026 (the single-transistor cell): https://www.nextplatform.com/compute/2026/02/19/taalas-etches-ai-models-onto-transistors-to-rocket-boost-inference/4092140

Bajic on TBPN, Feb 20, 2026 (3-month breakeven, on camera): https://www.youtube.com/watch?v=UrebAsni59k

Bajic at MIT, 2022 ('wrong every time'): https://www.youtube.com/watch?v=L4AgmG8V3LE

Sundar Pichai, Google I/O 2026 (3.2 quadrillion tokens a month): https://blog.google/innovation-and-ai/sundar-pichai-io-2026/

CNBC, Dec 24, 2025 (NVIDIA buys Groq assets, ~$20B): https://www.cnbc.com/2025/12/24/nvidia-buying-ai-chip-startup-groq-for-about-20-billion-biggest-deal.html

———

This episode is for educational and informational purposes only and does not constitute financial, investment, or trading advice, nor a recommendation to buy or sell any security. Deep Dive is not a registered investment adviser. All investing involves risk. Consult a licensed financial professional before making investment decisions.

On September 30th, 2026, Nature published a review proposing that aging is your cells slowly forgetting what they are. About 90% of the chemical marks that pile up on DNA with age land on the switches that keep a cell's other possible identities turned off. It's a big idea, and it's a review, not an experiment: it redraws the map of old data, and the data underneath is small (seven immune samples, skin from six people, eight mice, with the pattern then checked in blood studies of thousands).

Two hosts take it apart. One reads the papers: Waddington's valleys, Gurdon's frogs, Yamanaka's four factors, Horvath's clock. The other argues the older theory, that aging is damage, and follows the money: a 2022 study of 16 mammal species, the naked mole-rat that doesn't fit, the Sinclair mice that start with a DNA break, and why four grand theories of aging have already come and gone. Their shared reading, offered as a reading and not a finding: identity loss may be where damage ends up, not its rival. One experiment would separate the two, and nobody has run it.

Then what it means for you. Altos Labs launched with $3 billion and has no disclosed drug in human trials; NewLimit has raised $610 million; Sam Altman put $180 million into Retro. The first regulated human test of a cellular rewind reported early data from three glaucoma patients on October 8th. And the $300 biological-age test you can buy today runs on clocks that, in a 2022 study, disagreed with themselves by up to nine years on the same sample. Calorie restriction and omega-3 moved those clocks by weeks to months. The one question to ask before you buy, and what to watch instead of the headlines.

Disclosure: eight of the Altos review's eleven authors work at Altos Labs; one of the Nature review's three authors is employed by Novartis. Both conflicts are declared in the papers and examined here, not insinuated. None of this is medical advice. As of October 12th, 2026.

RELATED EPISODES

AI and Dogs: The Technology That Could Give Your Dog More Years — the longevity-drug side of the same question, tested in dogs

CHAPTERS

00:00 Your cells forget what they are

01:12 What actually came out

02:13 The 90% number

03:37 Why this isn't Sinclair's theory

04:19 Waddington's valleys

05:34 Identity is reversible

06:27 Horvath's clock

07:35 The damage camp

09:23 The contested experiment

10:29 Four theories, four letdowns

11:24 The mouse record

12:32 Closer than the headlines say

13:28 Where the wear and tear ends up

14:24 The counterweight

15:06 Follow the money

16:23 The track record

17:09 The first human test

18:48 The test you can buy

20:21 What to ask before you buy

21:42 Each host's bottom line

SOURCES

Nature review (Yücel, Molière, Gladyshev), Sept 30, 2026: https://doi.org/10.1038/s41586-026-10955-0

Cell review, Altos Labs (Lu, Tu, Izpisua Belmonte), May 2026: https://doi.org/10.1016/j.cell.2026.04.020

The 90% PRC2 figure (Moqri et al., 2024): https://pmc.ncbi.nlm.nih.gov/articles/PMC11250797/

Higgins-Chen et al., Nature Aging 2022 — clock replicate noise: https://doi.org/10.1038/s43587-022-00248-2

Life Biosciences ER-100 early readout, Oct 8, 2026: https://www.lifebiosciences.com/life-biosciences-announces-first-in-human-data-from-ongoing-phase-1-trial-evaluating-er-100-in-optic-neuropathies/

Yamanaka in TIME, Aug 20, 2026: https://time.com/collection/longevity-leaders/2026/shinya-yamanaka/

Izpisua Belmonte at ESGCT via GEN, Oct 2025: https://www.genengnews.com/insights/esgct-2025-altos-labs-scientific-founder-targets-mesenchymal-drift-in-efforts-to-combat-diseases-of-aging/

Timmons & Brenner critique + authors' reply (Cell, 2024): https://www.brennerlab.net/wp-content/uploads/2024/03/Timmons24.pdf

Anthropic's IPO prospectus isn't public yet. On September 28th, 2026, Reuters reported numbers from a copy it had seen: nearly $4.6 billion of revenue in 2025, a $42 billion net loss that is mostly a non-cash charge, and $518 billion of commitments for cloud, compute and infrastructure, about 80% of it non-cancelable.

A bill has two sides, and the companies on the other side of this one file with the SEC. Read from their own filings, the $518 billion is six contracts. Amazon's report agrees with what Reuters saw. SpaceX's own prospectus puts its Anthropic deal at about $45 billion; the reported line is up to $84.5 billion. Google and Microsoft never name Anthropic. And the biggest line, about $161 billion of chip-rack leases, runs through an Apollo-managed vehicle, with Broadcom backstopping the leases up to about $29 billion, Apollo's annuity insurer giving a limited guarantee it judges not probable, and the customer allowed to pay with notes convertible into its own stock.

Then the owners: Amazon carries about $190 billion of Anthropic on its books, the founders keep 50.1% of the votes, and your index fund may buy in 15 trading days after listing. With the bull case in the company's own words, a scorecard of this show's earlier calls (misses included), and three dated calls.

Disclosure: this show is made with Claude, Anthropic's model. Every prospectus figure here is attributed to the outlet that reported it. As of October 2nd, 2026, no Anthropic registration statement was on EDGAR.

RELATED EPISODES

How Anthropic Actually Makes Money — the parent episode whose three tells this one scores.

The SpaceX IPO: Why the Biggest IPO in History Loses Money — where the Anthropic lease first surfaced, in SpaceX's own filing.

Why NVIDIA Paid 86 Times Revenue for Hugging Face — the same move from equity to guarantees, at NVIDIA.

CHAPTERS

00:00 No hedge on earth

00:58 Disclosure and roadmap

02:01 What you're allowed to know

02:42 The $42 billion loss, decomposed

04:30 The bill is six contracts

07:24 The other side of the ledger

07:55 Google and Microsoft: silent by name

09:08 SpaceX: the bill and the receipt

10:42 Broadcom's backstop, in its own words

13:00 The filing that names the customer

14:48 Suppliers who are also owners

18:22 Deals outside the $518 billion

19:39 The case that all of this is fine

22:40 The deal, and who decides

24:57 Your index fund

25:39 Buying in before the IPO

26:47 Scoring this show's own calls

28:28 Three calls for the public filing

31:05 Where the bill went

SOURCES

Reuters via Yahoo Finance, Anthropic's IPO prospectus (Sept 28, 2026): https://finance.yahoo.com/technology/ai/articles/exclusive-anthropics-ipo-prospectus-shows-231722972.html

Reuters via KSL, the $518B breakdown (Sept 29, 2026): https://www.ksl.com/article/51629885/anthropics-518-billion-ai-buildout-hinges-largely-on-deals-that-cannot-be-canceled-filing-shows

Amazon 10-Q, quarter ended June 30, 2026: https://www.sec.gov/Archives/edgar/data/0001018724/000101872426000026/amzn-20260630.htm

Broadcom 10-Q, quarter ended Aug 2, 2026: https://www.sec.gov/Archives/edgar/data/1730168/000173016826000080/avgo-20260802.htm

Apollo 10-Q, quarter ended June 30, 2026: https://www.sec.gov/Archives/edgar/data/1858681/000185868126000040/apo-20260630.htm

SpaceX S-1/A (June 3, 2026): https://www.sec.gov/Archives/edgar/data/1181412/000162828026040364/spaceexplorationtechnologib.htm

Dario Amodei on the Dwarkesh Podcast (Feb 13, 2026): https://www.dwarkesh.com/p/dario-amodei-2

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This episode is for educational and informational purposes only and does not constitute financial, investment, or trading advice, nor a recommendation to buy or sell any security. Deep Dive is not a registered investment adviser and holds no positions in the companies discussed. All investing involves risk. Consult a licensed financial professional before making investment decisions.

What actually happens if the United States loses its measles elimination status? Almost nothing switches on. The Pan American Health Organization's commission reviews the US in November 2026, and PAHO's own page says there are no formal penalties. School exclusions follow exposures and outbreaks, your insurance follows the CDC's vaccine advisory committee, and travel advice was already keyed to outbreaks. What a loss actually starts is paperwork and a clock.

The status works like a thermometer. It doesn't measure how many of us are vaccinated; it reads whether one measles lineage has kept passing from person to person for a year, which is really a reading on whether the places where too few of us are vaccinated are connected. This episode walks through the evidence fight over one dominant lineage and whole-genome sequencing, the trap inside the government's own "separate introductions" defense, and the math of why a 92% kindergarten vaccination rate can still fail once kids cluster by school. Plus Pennsylvania's outbreak from the inside, families on both sides of the vaccine decision in their own words, what you can check for your own family, Washington's split screen on the MMR shot, and Canada, one year ahead of us on the same virus, as a preview of how slow the way back is. Three dated calls at the end.

Figures as of late September 2026: 3,659 US cases this year, per CDC, the most since 1991; Pennsylvania counted five measles-associated deaths as of September 30th.

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CHAPTERS

00:00 What actually happens if we lose it?

01:45 What "eliminated" means

02:35 Who decides

03:04 The calendar that can't move

04:43 What changes for you: the ledger

05:51 The rule that runs backwards

06:40 Canada and Britain: what a loss changed

08:14 Why the reading is so hard to take

09:01 Why the standard test can't tell chains apart

11:08 The trap in the government's defense

13:39 Why 92% can still fail

15:50 The pockets, and your kid's school

16:56 Pennsylvania from the inside

17:34 Who counts the deaths

20:47 The families on both sides

22:03 What you can check today

22:44 Washington's split screen

24:02 Did anyone ask for the delay?

25:01 The exemptions fight

26:55 Canada, one year ahead

27:47 How long the way back takes

29:59 Three dated calls

31:36 The thermometer, and your kid's room

SOURCES

PAHO's re-verification commission (the 12-month rule; 'no formal penalties'): https://www.paho.org/en/measles-rubella-elimination-regional-monitoring-re-verification-commission

PAHO on the US review moving to November (Mar 2, 2026): https://www.paho.org/en/news/2-3-2026-update-review-measles-elimination-status

CDC measles cases and outbreaks: https://www.cdc.gov/measles/data-research/index.html

Pennsylvania DOH, fifth measles-associated death (Sept 30, 2026): https://www.pa.gov/agencies/health/newsroom/pa-department-of-health-confirms-fifth-measles-associated-death

Noel Brewer in STAT (Aug 6, 2026): https://www.statnews.com/2026/08/06/measles-elimination-status-2026-paho/

Texas DSHS whole-genome analysis, Emerging Infectious Diseases (2026): https://wwwnc.cdc.gov/eid/article/32/10/26-0494_article

Glasser et al., school clustering model, Lancet Infectious Diseases (2016): https://pubmed.ncbi.nlm.nih.gov/26852723/

Executive Order 14420, Federal Register (Aug 14, 2026): https://www.federalregister.gov/documents/2026/08/14/2026-16730/delivering-gold-standard-childhood-vaccine-recommendations-for-americans

Why are Driscoll's strawberries so good? In June 2026 the company's then-CEO put the number on the record: about 125,000 new strawberry varieties a year, for one or two worth sending out eight years later. The winning plants are never sold. About a thousand independent growers rent them for the season, farm the land, hire the pickers and carry the crop, and the company grades the fruit and sells it under one name.

The seed turns out to be harder to own than it looks. A federal judge ruled that Driscoll's berries turning up in the family tree of a rival's crop didn't support "even an inference" of infringement, in part because nobody had recorded which plant was the mother; the case ended in a private settlement. In China, one of Driscoll's main blueberries turned out to be rented from an Australian breeder, which has since licensed its genetics to Driscoll's rivals.

What nobody can clone is the name on the box, and since mid-June 2026 five lawsuits have been filed against the company behind it. As of late September 2026, all of them are allegations, and none has been decided. The three consumer class actions each name Driscoll's alone, never a grower. Then the people in the middle: the pickers, the wage math across the border, and a boycott that learned to aim at the name. Plus the founding family's return to the top job, Driscoll's own case for its model, a tariff fight over winter strawberries, two dated calls and one thing to watch on your own clamshell.

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CHAPTERS

00:00 125,000 new varieties a year

02:12 The box in your fridge

02:45 Who decides how a berry tastes

03:37 Rented, never sold

05:41 Can anyone own a strawberry?

07:22 Which plant was the mother?

09:33 The rented blueberry

11:05 When the plants walked off the farms

12:23 Licensed to Driscoll's rivals

13:47 The name on the box

15:58 A 2017 quote: "sort of like our manufacturing plants"

16:25 The whistleblower's allegations

17:02 Pressure near headquarters

18:49 What your berry box can tell you

19:22 The people in the middle

20:18 Eight hours or one

20:43 The boycott that aimed at the name

22:23 The founding family's return

23:38 Tariffs and your winter berries

24:25 Two dated calls, one thing to watch

25:09 So why are they so good?

SOURCES

Summary judgment order, Driscoll's v. California Berry Cultivars (E.D. Cal., Mar 25, 2025): https://www.govinfo.gov/content/pkg/USCOURTS-caed-2_19-cv-00493/pdf/USCOURTS-caed-2_19-cv-00493-18.pdf

Berlinger v. Driscoll's complaint (N.D. Cal., Jun 26, 2026): https://storage.courtlistener.com/recap/gov.uscourts.cand.473105/gov.uscourts.cand.473105.1.0_1.pdf

Driscoll's false-advertising complaint against an app company (N.D. Cal., Jun 9, 2026): https://storage.courtlistener.com/recap/gov.uscourts.cand.471840/gov.uscourts.cand.471840.1.0.pdf

Wall Street Journal on Driscoll's in China (Sept 14, 2026): https://www.wsj.com/business/driscolls-berry-farms-china-competition-b0b49f04

Soren Bjorn at WSJ Events (Jun 2, 2026): https://www.youtube.com/watch?v=av6Q5gLtMYE

Commerce preliminary determination, fresh winter strawberries from Mexico (Aug 21, 2026): https://www.federalregister.gov/documents/2026/08/21/2026-17121/fresh-winter-strawberries-from-mexico-preliminary-affirmative-determination-of-sales-at-less-than

Truthout, Felimon Piñeda on the Sakuma boycott (Aug 31, 2016): https://truthout.org/articles/no-other-way-than-to-struggle-the-farmworker-led-boycott-of-driscoll-s-berries/

Pajaronian on the CEO succession (Aug 25, 2026): https://pajaronian.com/driscolls-names-new-ceo/