Deep Dive

Deep Dive

Deep Dive is long-form research on AI, tech, and the global economy. Single host, weekly episodes, 25-35 minutes each. The story behind every headline — built from primary sources and original analysis. Recent topics: • AI deanonymization research • Data center infrastructure economics • Strait of Hormuz geopolitics • Agentic AI security • Frontier model behaviors Find Deep Dive across platforms: 📺 YouTube · @DeepDiveAIShow 📱 TikTok · @notdeepdiveai 📷 Instagram · @notdeepdive 🔗 All links · linktr.ee/notdeepdive Tap follow for new episodes.

  1. 1 thg 9

    Why Amazon Is Really Shutting Down Mechanical Turk

    In 2018, on stage at Amazon's biggest conference, Mechanical Turk's product lead pitched "over 500,000 active workers." That same year, researchers measured how many people were actually working at any moment: about 2,000. The 500,000 was a registration count frozen since January 2011 — and Amazon's own documentation still advertised it the day the shutdown banner appeared. On September 30, 2026, the platform closes for good, and the obituaries all say AI killed it while Amazon exits human data. This episode reads the paperwork and finds both claims wrong. What actually happened: MTurk was 1 of 10 SageMaker features cut the same day — a portfolio cleanup, not a reckoning. Ground Truth and Augmented AI are frozen, not closed, and Bedrock still sells AWS-managed human evaluators. Amazon isn't exiting human data; it's exiting a price point — the same move the whole industry made, from Surge's reported $1.2B to Mercor's $112-an-hour experts, with a $1.32-an-hour floor in Nairobi that never went away. Also inside: the myth that needs retiring — crowds of Turkers did NOT train ChatGPT (OpenAI hired ~40 contractors and said so in writing), but roughly 80% of the original human-feedback data behind Claude traces to master-qualified Turkers, about 20 prolific workers — disclosed on air, since this show is made with Claude. The study that caught 33–46% of crowd workers using AI on the work meant to certify humanity (honestly bounded: one task, 46 summaries). The wage ledger: requesters paid $11.58 an hour; the median worker kept $1.77. And the shutdown's one mercy — every unreviewed task auto-approves, resolving the workers' oldest fight in their favor, posthumously. Two dated calls close it out, plus the practical note: worker transaction histories go dark January 28, 2027 — download yours before then. CHAPTERS 00:00 The 500,000-worker trap 02:00 Two waves, ten cuts — the death certificate 03:12 Frozen, not closed: what actually survives 04:01 The industry moves upmarket 05:25 A dedup chore becomes a labor market 06:07 Vienna, 1770 — the original hoax 07:00 ImageNet's 50,000: the monument 08:03 The ChatGPT myth retires 08:38 Disclosure: the 20 Turkers inside Claude 09:50 The crowd replaces itself 11:30 The label breaks, not the models 12:12 The wage ledger 14:41 The people: Marshall to Pawloski 16:59 Every exit has a gate 18:01 The posthumous mercy 19:14 The second correction — and what to do 20:29 The ledger: two calls, one watch 21:15 The machine was people SOURCES mturk.com — closure banner + help pages (auto-approval, Jan 28 2027 data cutoff): https://www.mturk.com/ AWS SageMaker features — the ten-feature cutoff: https://aws.amazon.com/sagemaker/ai/features/ AWS Ground Truth docs (maintenance mode; the "500,000" line): https://docs.aws.amazon.com/sagemaker/latest/dg/sms.html AWS Bedrock Evaluations (managed human evaluators): https://aws.amazon.com/bedrock/evaluations/ Difallah, Filatova & Ipeirotis, WSDM '18 (~2,000 active): https://dl.acm.org/doi/10.1145/3159652.3159661 Hara et al., CHI 2018 — the wage study: https://arxiv.org/abs/1712.05796 ILO, Digital Labour Platforms (2018): https://www.ilo.org/publications/digital-labour-platforms-and-future-work-towards-decent-work-online-world Veselovsky et al., EPFL 2023 — LLM use on MTurk: https://arxiv.org/abs/2306.07899 Bai et al. 2022 — Anthropic HH-RLHF (§2.1): https://arxiv.org/abs/2204.05862 Stiennon et al. 2020 — "rather than using… Mechanical Turk": https://arxiv.org/abs/2009.01325 Rest of World — the Remotasks precedent: https://restofworld.org/2024/scale-ai-remotasks-banned-workers/ CloudResearch — sunsetting the MTurk Toolkit: https://www.cloudresearch.com/resources/blog/sunsetting-mturk-toolkit-cloudresearch/ US Patent 7,197,459 B1: https://patents.google.com/patent/US7197459B1/en

    Why Amazon Is Really Shutting Down Mechanical Turk
  2. 29 thg 8

    What's Inside Anthropic's 186-Page Risk Report

    For close to a year, the bioweapon filters at one of the world's strongest AI companies had a blind spot. One internal flag had switched off both the blocking and the logging for an entire pipeline — roughly 50,000 hired contractors, 133 million exchanges. No regulator caught it. No law required anyone to tell you. You know because Anthropic wrote it down, inside a 186-page risk report released with no announcement, no author's name, and a title that literally says Redacted. This episode reads the whole document — and asks the question it leaves behind: can a confession be a system? What's inside: the re-scan of a year of unwatched conversations — 1,197 flagged, 62 real after the company's own red-team traffic is removed, zero misuse found — and why that answer is careful, not clean. The frontier model Anthropic finished and won't release, stronger than its flagship, working only inside the building — and the 2019 GPT-2 withholding playbook it repeats, written in part by the people who later founded Anthropic. The strangest audit ever run: Anthropic handed the misalignment chapter to Claude itself, which led with its own conflict of interest, called the report candid and largely faithful, and got two criticisms into the final text. The case against gets a full act: passing thresholds rewritten mid-stream, an oversight trust whose outside-review power has never been used — and whose trustee left to become Anthropic's Chief Global Affairs Officer — and the analyst who read all 186 pages and wasn't reassured. Then the machinery question: aviation buys pilots' honesty with immunity and a ten-day clock; every AI reporting law in force routes truth to agencies confidentially. Three dated calls close it out — one already landed. CHAPTERS 00:00 The year the filters were off 01:15 Disclosure: this show runs on the subject's AI 02:16 A 186-page confession nobody signed 03:01 One flag — the brake and the camera 04:21 The re-scan: 1,197 flags, 62 real 05:38 Anthropic re-grades itself 06:15 The model they won't release 07:16 Why hold a frontier model back 09:10 The 2019 playbook, repeated 10:22 The strangest audit ever run 11:52 Seven more confessions 13:04 The case against candor 15:14 The machinery that buys honesty 17:26 Three holdbacks in a fortnight 17:58 Capture — and the trustee who switched sides 19:31 The ledger: three dated calls 20:22 Nobody had to tell you SOURCES Anthropic — Redacted Risk Report, August 2026 (PDF): https://www-cdn.anthropic.com/f61d49fa5596956a5dec75fea0e973bf6a6a8378/Redacted%20Risk%20Report%20August%202026%20.pdf Anthropic — RSP updates: https://www.anthropic.com/rsp-updates Zvi Mowshowitz — On the Anthropic Risk Report: https://thezvi.substack.com/p/anthropic-risk-report-august-2026 OpenAI — GPT-2 Release Strategies (2019): https://arxiv.org/abs/1908.09203 Reuters — Anthropic's letter alleging Alibaba extraction: https://www.reuters.com/world/china/anthropic-says-alibaba-illicitly-extracted-claude-ai-model-capabilities-2026-06-24/ TechCrunch — OpenAI slows Astra over security concerns: https://techcrunch.com/2026/08/07/openai-says-it-slowed-astra-model-development-over-security-concerns/ Unite.AI — Z.ai's GLM-5.3 cyber capability: https://www.unite.ai/z-ai-launches-glm-5-3-with-frontier-coding-and-a-cyber-capability-that-outgrew-its-training/ Anthropic — Tino Cuéllar joins: https://www.anthropic.com/news/tino-cuellar NASA ASRS — immunity provisions: https://asrs.arc.nasa.gov/overview/immunity.html NY RAISE Act (S6953B): https://www.nysenate.gov/legislation/bills/2025/S6953/amendment/B EU AI Act, Article 55: https://artificialintelligenceact.eu/article/55/

    What's Inside Anthropic's 186-Page Risk Report
  3. 26 thg 8

    Why Japan Just Made It Harder to Stay

    On August 4th, Japan's Justice Minister announced three documents in one press conference: permanent residency gets an income test above the average Japanese household — a bar 61.5% of Japanese households don't reach — it becomes revocable for the 950,000 people who already hold it, and the top worker visa gets longer renewals so the labor keeps coming. Five weeks earlier, this show argued Japan runs a rotation machine: labor in, people out, and never the word immigration. This episode is what happened next — and it turns out both jaws were ordered by one cabinet document signed in January. The mechanics nobody else has connected: the income standard reaches back to applications already in the queue; the fee rises 20x to ¥200,000; the pension test can't be beaten by earning more — while the refund counter Japan runs for departing workers was widened, twice, to match its visa lengths. The trainee program's new transfer locks were set at the maximum for construction — the sector with 25% of trainees and 55% of last year's disappearances — with "retention in rural areas" in the official rationale. And the record: 720,988 arrivals in the tightening year. The strongest case for the package gets a full act: the real compliance gap, the viral number the health minister himself debunked, Korea's stricter bar, the UK converging on the same design — and America's own income-weighted green card, which courts killed in two years. Japan's version has no such brake: the Supreme Court settled that in 1978. Three dated predictions close it out, and one on-air correction to our own last Japan episode. CHAPTERS 00:00 The August 4th presser 01:41 One document, two jaws 03:20 The permanence jaw 05:34 The retroactivity clause 07:10 The arithmetic of the bar 09:07 The refund counter 10:36 The other jaw — intake 12:06 The transfer locks 14:39 The people in the queue 17:27 The strongest case for it 21:12 The 50% correction 22:28 What do you call this? 25:12 Three dated predictions 26:02 The word Japan chose SOURCES Cabinet Secretariat — Comprehensive Measures for Acceptance and Orderly Coexistence (Jan 23, 2026): https://www.cas.go.jp/jp/seisakukaigi/gaikokujinzai/pdf/kettei_sougoutekitaiousaku_honbun.pdf ISA draft PR guideline + revocation guideline (e-Gov case 315000140): https://www.moj.go.jp/isa/11_00112.html Justice Minister press conference, Aug 4, 2026 (MOJ): https://www.moj.go.jp/hisho/kouhou/hisho08_00905.html MHLW Comprehensive Survey of Living Conditions 2025 — household income: https://www.mhlw.go.jp/toukei/saikin/hw/k-tyosa/k-tyosa25/dl/03.pdf MIC Basic Resident Register, Jan 1, 2026: https://www.soumu.go.jp/menu_news/s-news/01gyosei02_02000428.html ISA 2025 trainee disappearance figures: https://www.moj.go.jp/isa/content/001425159.pdf ISA Ikusei Shuro program overview (transfer-lock periods): https://www.moj.go.jp/isa/content/001452485.pdf Kyodo feature — foreigners leaving Japan may accelerate (Ray Hoe): https://japantoday.com/category/business/feature-trend-of-foreigners-leaving-japan-may-accelerate-under-tighter-visa-rules US State Dept 2025 Trafficking in Persons Report — Japan: https://www.state.gov/reports/2025-trafficking-in-persons-report/japan/

    Why Japan Just Made It Harder to Stay
  4. 24 thg 8

    The Ebola Outbreak the Vaccine Can't Stop

    On May 17th, 2026, the WHO declared a global health emergency over eight laboratory-confirmed cases of Ebola in eastern Congo. Eight was all the test could see. This is the story of an outbreak the standard toolkit was never built for: Bundibugyo virus, the neglected species — no licensed vaccine, no approved drugs, a field test whose own emergency-use notice says it cannot detect this virus. None of that was hidden; it was published as it happened. What this episode adds is the assembly: how a fourteen-week blind spot, a war, and a test tuned to the wrong species stack — and which of those actually did the damage, ranked the way WHO's own Director-General ranks them. Then the natural experiment: the same virus crossed into Uganda and produced twenty cases, not because the tools were better, but because the margin was. And finally the bet being placed right now — 70,000 doses of a vaccine built for a different species, split between a trial and a wager, with the confirming science funded on the same day as the recommendation. Counts are as of August 18th, 2026, and stated as a floor; everything stands as of August 20th. CHAPTERS 00:00 Twenty samples, twenty negatives — and Ebola anyway 02:19 One name, six viruses — what the toolkit actually covers 03:34 The test that was right 04:28 Why a close relative isn't close enough 06:27 Nineteen empty years — the market answer 07:23 The border experiment: Uganda, then Congo 10:11 The strongest case against the toolkit story 11:55 The alarm that fired fast 14:44 Who is carrying this 16:49 The bet: a vaccine built for the wrong virus 20:25 The record, dated — and what to watch SOURCES WHO Director-General remarks (May 20 + Aug 18, 2026) and IHR Emergency Committee statements — the declaration record WHO emergency-use notice for the GeneXpert Ebola cartridge — the footnote that says it cannot detect Bundibugyo MSF outbreak response reporting (beds, staff, admissions) CIDRAP + Health Policy Watch daily outbreak coverage (case counts, vaccine allocation, worker strikes) AP reporting on where deaths occur and the Merck/Gilead deployment Stored-blood antibody study on Zaire-vaccine cross-reactivity against Bundibugyo Africa CDC / WHO joint statements + continental response plan ($518M ask)

    The Ebola Outbreak the Vaccine Can't Stop
  5. 19 thg 8

    Why DeepSeek Isn't Free Anymore

    On May 22nd, the top story on Hacker News — 621 points — said DeepSeek had made its price discount permanent. Permanent lasted 86 days. On August 16th every price in DeepSeek's menu went up: the floor rose 52%, the flagship's peak rate about four and a half times, and the cached-input line — the discount that makes AI coding agents affordable — twelve-fold. This is the company that broke the price of AI, throwing the race to zero into reverse. First, surgery on the headline number: who the hike is aimed at (one free coding agent pushed 8 trillion tokens through it in a single day), and the tell in the schedule — peak hours mapping exactly onto the Chinese business day, lunch break at half price, while an American developer can work a full day and never touch a peak window. You don't build surge pricing to get rich. You build it to move load you can no longer serve. Then the ledger. In June this show bet, on tape, that by the end of 2026 at least two of China's four big open-model labs would move against free. DeepSeek just cleared the 10% bar by thirty-five times — lab one of two, eight weeks after air. Why bet against free? Because free-as-a-strategy has a lifecycle — subsidize, capture, reprice — and you've lived through it: Uber riders paying 41 cents on the dollar before prices rose 92%; MoviePass executives pleading guilty to securities fraud; China's bike-share graveyard, before Beijing outlawed below-cost dumping — then subsidized the same playbook for tokens. And the trap DeepSeek built for itself: the weights are free on the internet, so one day after the hike the cheapest place to buy DeepSeek at rush hour was no longer DeepSeek. The company repriced; the model is priced by everyone. The same weekend, Stripe reportedly closed a $7 billion-plus deal for OpenRouter — the toll booth is the prize. Four dated predictions close the episode, on the record, so you can hold us to them. The price tag was always a loan. The first repayment just came due. RELATED EPISODES Why Is DeepSeek Free? — the June episode this one scores; free-as-national-strategy, and the bet now half-landed How Superforecasters Actually Predict the Future — the scorekeeping method behind this show's dated, falsifiable bets CHAPTERS 00:00 'Permanent' lasted 86 days 01:14 Surgery on the twelve-fold headline 04:18 The hidden clock in the pricing 05:16 Scoring the June bet 06:13 The lifecycle: Uber, MoviePass, bike-share 09:37 Was DeepSeek ever below cost? 11:09 The trap: the weights are still free 14:29 Why now — chips, money, Beijing 15:59 The American mirror 16:51 The scoreboard, and four new bets SOURCES DeepSeek official API pricing page (live rate map: peak/off-peak bands, cache line ×12, floor +52%) + the Aug 13 V4-Pro release note (two-sentence rationale, unsigned) Bloomberg (Aug 13) — DeepSeek raises prices multiple times over; SCMP (Aug 6) — the 'plan your usage accordingly' warning Semafor (Aug 3) — V4-Flash 50% cut, surcharge paused; Hacker News (May 22) — the 'permanent discount' story TechCrunch (Mar 2025) — DeepSeek's self-published 545% theoretical margin with self-listed caveats; OpenCode (self-reported) — the 8-trillion-token day Bloomberg/Fortune/PYMNTS (Aug 16) — Stripe reportedly finalizes $7B+ OpenRouter acquisition; OpenRouter live pricing — day-one third-party undercut of DeepSeek's peak rate Slate/Horan — Uber passengers paying ~41% of trip cost (2015); Rakuten via CNBC — rideshare prices +92% (2018–2021); CNBC/Fortune — the 2022 Khosrowshahi memo DOJ/Holland & Knight, Variety, Engadget — MoviePass executives' guilty pleas (securities fraud; the data-plus-AI claim) The China Project — Ofo's 15M refund queue (~10/day by Aug 2020); 36kr — bike-share ~4× repricing over the decade Dealroom — the leaked Liang investor call (unconfirmed by DeepSeek): ~1/20th US compute; reported ~$74B valuation DCD/Bloomberg — reported ~1GW Ulanqab build, late 2027; MLQ — GLM-5.3 weights held for cyber-capability review

    Why DeepSeek Isn't Free Anymore
  6. 14 thg 8

    How Superforecasters Actually Predict the Future

    In the movie about the bin Laden raid, an analyst says "one hundred percent he's there." The real room gave Leon Panetta a spread — 90, 60, below 50 — and he had to make the call on a gut. Around that same time, American intelligence quietly ran a four-year tournament to find out whether anyone can actually predict the future. The winners were a pharmacist and a retired programmer with a duck for an avatar. This episode teaches the method they used, move by move: start from the base rate, break impossible questions into estimable pieces, commit to precise numbers — 63%, not "probably" — update small and often, team up and let math sharpen the crowd's answer, and keep score with Brier scores, the scoreboard the whole field runs on. Then the part most tellings skip: where it breaks. The curated questions; Taleb's rare-event attack and Tetlock's own concession; the Ukraine and Brexit misses; the AI progress the superforecasters underpriced — priced at 2.3%, resolved yes. And the 2026 twist, in two industries. A betting-market war: Kalshi reportedly chasing a $40 billion price tag while New York sues and a federal regulator invokes emergency powers to keep it open. And AI systems that reached statistical parity with the superforecaster median — by having the method typed into their prompts: "You are an expert superforecaster… pick the base rate." The superforecasters' own median forecast says AI beats them by 2028. The best calibrators on Earth, calibrated about losing. You can practice the skill free — Good Judgment Open and Metaculus run public tournaments with real scoreboards. The skill was never seeing the future. It was keeping score on yourself, before reality does it for you. RELATED EPISODES Will AI Replace Software Engineers? What the Data Actually Says — the same benchmark-asterisk test this episode runs on AI forecasting parity How an AI Agent Hacked Hugging Face — the AI-capability arc the superforecasters underpriced How GPS Actually Works — the sibling mechanism explainer: a system you use daily, taught from the inside CHAPTERS 00:00 The room that ran on gut calls 01:28 'A fair chance' — what vague words cost 03:35 The tournament the government could lose 06:17 Surgery on the famous 30% claim 08:43 The method, move by move 14:41 Where it breaks: Taleb, Ukraine, and the AI miss 18:18 The ox, the whale, and the $40 billion war 23:44 The machines type in the method 27:31 How you practice this free SOURCES Philip Tetlock & Dan Gardner, Superforecasting (2015); Tetlock, Expert Political Judgment (the 1984–2004 study) Mellers et al., Psychological Science 2014 & Perspectives on Psychological Science 2015 — tournament design, granularity (57 values; rounding test), persistence, 300-vs-60 days Goldstein et al. (MITRE, declassified) — Good Judgment vs the Intelligence Community Prediction Market: 0.15 vs 0.23 on 139 shared questions; the secrecy heuristic Friedman et al., International Studies Quarterly 2018 — 888,328 forecasts; the cost of verbal probability labels; the Bay of Pigs 'fair chance' record Chang et al. 2016 — the one-hour training effect (+6–11%); Hauenstein et al., Psychological Science 2025 — the reanalysis contesting it Forecasting Research Institute — ForecastBench (forecastbench.org) and the XPT near-term accuracy report (Sept 2025); Good Judgment's rebuttals (July 2026) Wallis, Statistical Science 2014 — Galton's 1906 ox, corrected from the archives NY Attorney General release (July 31st, 2026); The Block (Aug 11th, 2026 CFTC emergency order); WSJ 'The Economics Of' & CoinDesk market coverage On the record: Leon Panetta (Choiceology); Warren Hatch (Cassandra Forum, Aug 2026); Luana Lopes Lara (WSJ Events, May 2026); Tetlock (80,000 Hours 2019; Harvard Kennedy School, June 2026)

    How Superforecasters Actually Predict the Future
  7. 12 thg 8

    How GPS Actually Works

    In 1977, engineers building the first cesium clock for orbit added a hidden switch — a hedge, in case Einstein was wrong. He wasn't. That clock became part of GPS, and the relativity correction it proved is running inside the phone in your pocket right now. Turn it off, and GPS drifts into uselessness in about two minutes. This episode teaches how GPS actually works — and why almost everything you think it is, is wrong. It isn't really a map system. It's a clock, and your location is the by-product of four clocks in the sky disagreeing by nanoseconds. We walk through the whole machine: how your phone finds you by measuring time instead of distance, why you always need a fourth satellite (one of the most elegant ideas in engineering), the two relativity effects that fight inside every satellite, and the factory trick that cancels them before launch. Then the part nobody tells you — GPS is the hidden master clock under the power grid, cell networks, and financial markets, proven the day in 2016 when a thirteen-microsecond error garbled radio across Britain. And the people who built the clock in the sky: Roger Easton, Bradford Parkinson, and Gladys West. No hype. Just how it works, and why it matters more than you think. RELATED EPISODES How LLM Inference Actually Works — the mechanism deep-dive on what happens when you hit send How RAG Actually Works — another under-the-hood 'how X actually works' How Netflix, Uber, and YouTube Handle Scale — systems, explained from first principles CHAPTERS 00:00 The switch built in case Einstein was wrong 02:01 How a stopwatch in space finds you 03:38 Why you always need a fourth satellite 06:02 The relativity that keeps GPS alive 08:16 The hidden clock under the grid, your phone, and Wall Street 10:04 The day the clock lied — the 2016 accident 11:42 Why GPS is so easy to jam 12:34 Who built the clock in the sky SOURCES gps.gov — GPS space & control segments, constellation, and the L1 signal spec (IS-GPS-200) Neil Ashby, 'Relativity and the Global Positioning System,' Physics Today (May 2002) — the +38 microseconds/day correction, the factory clock offset, and the 1977 NTS-2 test NIST — 'Putting Einstein to the Test' (the -7 / +45 microsecond relativity split) and the NIST Time & Frequency post-mortem on the January 2016 GPS timing anomaly R. Pogge (Ohio State University) — GPS & relativity lecture notes (~10 km/day drift; a fix 'false after 2 minutes') RTI International for NIST (2019) — economic benefits of GPS (~$1 billion/day outage impact) Penn State GEOG 862 — the four-unknowns / four-satellites pseudorange solution Todd Humphreys (UT Austin) — civilian GPS spoofing ('no encryption, no authentication')

    How GPS Actually Works
  8. 11 thg 8

    Why the Cyclospora Recall Came 25 Days Too Late

    On June 18th, 2026, a 27-year Army veteran named David Ott ate at a Taco Bell in Youngstown, Ohio. The iceberg lettuce his lawsuit blames was recalled on July 17th — 25 days after the first illness onset on the government's own outbreak curve. Add up that column and 44 of the 4,510 dated illnesses began after the recall. The recall did not stop this outbreak. It documented one that had already happened. This episode is about what those 25 days were spent on. The answer is paperwork — and about a rule, already written and already law, designed to make exactly this traceback take a fraction as long. Companies had to comply by January 20th, 2026. This outbreak started in May. Enforcement now begins in July 2028. Along the way: why Michigan warned the public on day 9 while the CDC's advisory came on day 22; why nobody can agree how many people got sick, with the federal outbreak count at 6,358 and the states' own tallies above 25,000; why your own case probably wouldn't be counted even if you had it; and why the same growing region and the same company produced a Cyclospora outbreak 13 years ago, with a company executive saying almost exactly the same sentence about negative test results. We also take on the version of this story everyone else is telling — that a surveillance program cut last year is why this outbreak went undetected. The program doesn't operate in a single one of the 15 outbreak states, and by the CDC's own description it was never designed to detect outbreaks at all. Counts move weekly. Every figure here is as of August 5th, 2026. CHAPTERS 00:00 A Taco Bell in Youngstown, and a 25-day gap 01:13 The route 01:59 The calendar — day zero to the recall 04:53 What 25 days of investigation actually looks like 06:01 Why this parasite is the hardest case for a traceback 08:13 The rule that was already law — and what happened to it 11:52 Would anyone ever know you were part of this? 14:35 The reason your doctor doesn't test for it 17:55 Thirteen years earlier, same region, same company 24:51 The honest scoreboard 26:49 Back to David Ott SOURCES CDC — Cyclospora Outbreak Linked to Iceberg Lettuce, outbreak page and onset table (last reviewed Aug 5, 2026) FDA — Investigation of 15-State Outbreak of Cyclospora Illnesses: Iceberg Lettuce (July 2026), updated Aug 5, 2026 FDA — Outbreak Investigations table, active Cyclospora files (ref #1390 and six others) CDC Health Alert Network notice HAN00531, July 14, 2026 Taylor Farms de Mexico recall notice, July 17, 2026 (FDA recalls database) FDA — Environmental Assessment, 2013 multistate Cyclospora outbreak (primary document) FDA — FSMA Section 204 Food Traceability Rule, compliance date and 2028 enforcement extension Michigan Department of Health and Human Services — outbreak dashboard and public warnings, July 2026 North Carolina DPH cyclosporiasis dashboard (Aug 4, 2026) USDA Economic Research Service — Cost Estimates of Foodborne Illnesses UK Health Security Agency — cyclosporiasis surveillance, 2026 season Ott v. Taylor Farms, complaint filed in Ohio (plaintiff's counsel: Bill Marler — adverse party)

    Why the Cyclospora Recall Came 25 Days Too Late

Giới Thiệu

Deep Dive is long-form research on AI, tech, and the global economy. Single host, weekly episodes, 25-35 minutes each. The story behind every headline — built from primary sources and original analysis. Recent topics: • AI deanonymization research • Data center infrastructure economics • Strait of Hormuz geopolitics • Agentic AI security • Frontier model behaviors Find Deep Dive across platforms: 📺 YouTube · @DeepDiveAIShow 📱 TikTok · @notdeepdiveai 📷 Instagram · @notdeepdive 🔗 All links · linktr.ee/notdeepdive Tap follow for new episodes.

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