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  • Pacific Rim

    5 May

    1

    Pacific Rim

    For six years, Sophos fought a secret cyber war against a state-backed hacking group targeting its firewalls. This forced Sophos to drastically change tactics to properly secure their firewalls. Was it ethical? Was it effective? They disrupted nine zero-day attacks, exposed who was hacking them, and forced the hackers to change tactics. But at what cost? You have to listen to one of the most audacious corporate cyber defenses ever conducted. SponsorsSupport for this show comes from ThreatLocker®. ThreatLocker® is a Zero Trust Endpoint Protection Platform that strengthens your infrastructure from the ground up. With ThreatLocker® Allowlisting and Ringfencing™, you gain a more secure approach to blocking exploits of known and unknown vulnerabilities. ThreatLocker® provides Zero Trust control at the kernel level that enables you to allow everything you need and block everything else, including ransomware! Learn more at www.threatlocker.com. This show is sponsored by Meter, the company building networks from the ground up. Meter delivers a complete networking stack - wired, wireless, and cellular - in one solution that’s built for performance and scale. Alongside their partners, Meter designs the hardware, writes the firmware, builds the software, manages deployments, and runs support. Learn more at meter.com. Support for this show comes from Drata. Drata is the trust management platform that uses AI-driven automation to modernize governance, risk, and compliance, helping thousands of businesses stay audit-ready and scale securely. Learn more at drata.com/darknetdiaries. Sources https://news.sophos.com/en-us/2024/10/31/pacific-rim-timeline/ https://www.justice.gov/archives/opa/pr/seven-hackers-associated-chinese-government-charged-computer-intrusions-targeting-perceived https://www.fbi.gov/wanted/cyber/guan-tianfeng

    5 May

    •
    1hr 31min
  • Snap Specs

    1 day ago

    2

    Snap Specs

    Snap unveiled its $2,195 standalone Specs AR glasses. Google rolled out Android 17 and Wear OS 7. Trump officials mulled equity stakes in AI firms, Apple's camera AirPods slipped to 2027, and TikTok was drowning in AI slop. Snap is finally about to ship AR glasses — and they cost a fortune (The Verge) Android 17 launches with new multitasking tools as Google expands Gemini features (TechCrunch) Trump advisers weigh structure of potential AI stakes (Semafor) Apple Plans Camera AirPods, iPhone Foldable 2, 20th Anniversary iPhone in 2027 (Bloomberg) Sixty percent of US consumers say 'AI' in brand messaging is a turnoff, survey finds (TechCrunch) TikTok Shows 3x More AI Slop Than YouTube, Report Finds (Search Engine Journal) Learn more about your ad choices. Visit megaphone.fm/adchoices

    1 day ago

    •
    20 min
  • Bayrob

    2 Jun

    3

    Bayrob

    It started with a fake car listing on eBay. What looked like a simple online scam quietly grew, over more than a decade, into one of the most sophisticated cybercrime operations the FBI had ever traced. Custom malware. Opsec off the charts. Fleets of infected computers mining cryptocurrency for someone else. Millions of dollars siphoned from victims who had no idea. This is the story of Bayrob and the three men from Romania who were behind it. And the long, strange road that led American investigators to their door. SponsorsSupport for this show comes from ThreatLocker®. ThreatLocker® is a Zero Trust Endpoint Protection Platform that strengthens your infrastructure from the ground up. With ThreatLocker® Allowlisting and Ringfencing™, you gain a more secure approach to blocking exploits of known and unknown vulnerabilities. ThreatLocker® provides Zero Trust control at the kernel level that enables you to allow everything you need and block everything else, including ransomware! Learn more at www.threatlocker.com. This show is sponsored by Meter, the company building networks from the ground up. Meter delivers a complete networking stack - wired, wireless, and cellular - in one solution that’s built for performance and scale. Alongside their partners, Meter designs the hardware, writes the firmware, builds the software, manages deployments, and runs support. Learn more at meter.com. This show is sponsored by Maze. Maze uses AI agents to triage and remediate cloud vulnerabilities by figuring out what’s actually exploitable, not just what’s theoretically risky. They remove the noise, prioritize vulns that matter, and manage remediation, so your team stops wasting time on meaningless vulns. Visit MazeHQ.com/darknet for more information. Support for this episode comes from NetSuite. NetSuite gives you visibility and control of your financials, planning, budgeting, and of course - inventory - so you can manage risk, get reliable forecasts, and improve margins. NetSuite helps you identify rising costs, automate your manual business processes, and see where to save money. KNOW your numbers. KNOW your business. And get to KNOW how NetSuite can be the source of truth for your entire company. Visit www.netsuite.com/darknet to learn more. This show is sponsored by Chainguard. Chainguard provides secure open source artifacts that are built from source so engineers can be confident that what they’re using in production matches the source bit-for-bit. Chainguard’s trusted open source has minimal vulnerabilities, provable provenance, and malware-resistance by design, defending against supply chain attack risk without adding any engineering toil. Head to chainguard.dev to see how secure your software supply chain can really be.

    2 Jun

    •
    1hr 37min
  • WWDC26 Keynote

    8 Jun ·  Video

    4

    WWDC26 Keynote

    Tune in to the WWDC26 keynote introducing Siri AI powered by Apple Intelligence — our most personal Siri update ever. You’ll also learn about expanded trust and safety features, and improvements to iOS 27, iPadOS 27, macOS 27, watchOS 27, visionOS 27, and tvOS 27.

    8 Jun · Video

    •
    1hr 16min
  • Market Predictions, Rates & Inflation, DOGE, CES, AI Compute | BG2 w/ Bill Gurley & Brad Gerstner

    11/01/2025

    5

    Market Predictions, Rates & Inflation, DOGE, CES, AI Compute | BG2 w/ Bill Gurley & Brad Gerstner

    Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week they discuss Brad’s public market predictions, AI enthusiasm and fears, interest rates, inflation, DOGE, federal budget analysis, big tech capex, scaling inference, Satya Nadella, Jensen Huang, Elon Musk, AI reasoning models, chain of thought,  & more. Enjoy another episode of BG2! Timestamps: (00:00) Intro (02:58) Frontline Ideas for 2025 (07:02) The Bogeyman (Interest Rates and Inflation) (09:21) Mega Cap Valuations & Expectations (14:02) Big Tech CapEx (16:51) Scaling Inference (20:11) Future of AI (39:50) Role of Power in AI Development (42:58) Interest Rates & Economic Growth (45:11) Federal Spending & DOGE (54:15) Regulatory Landscape for AI (01:01:27) Co-opetition in AI (01:17:06) Reasoning Models & Chain of Thought Produced by Benny Beausoleil Music by Yung Spielberg Available on Apple, Spotify, www.bg2pod.com Follow: Brad Gerstner @altcap Bill Gurley @bgurley BG2 Pod @bg2pod https://x.com/BG2Pod

    11/01/2025

    •
    1hr 23min
  • Vanguard

    18 May

    6

    Vanguard

    Vanguard is the most effective vehicle ever created for participating in the fruits of American capitalism. Today it’s the single largest equity owner of the majority of corporations in the S&P 500, on behalf of 50 million clients (including, likely, many of you). And yet Vanguard itself is essentially a communist organization — it has no shareholders, makes no profits, and operates more like REI than Fidelity. If you own a Vanguard fund, you own a piece of the firm itself. Any excess margin instead gets returned to clients in the form of lower fees, which since 1975 have added up to roughly five hundred billion dollars transferred out of Wall Street managers’ pockets and into retail investors’ savings accounts. And oh yeah, it all started as a cockamamie revenge plot by a guy who’d just been fired by his partners. Today we tell the story of communist capitalism at its finest — Vanguard. Sponsors: Many thanks to our fantastic Spring '26 Season partners: J.P. MorganWeAreDevelopers eventServiceNowVercelStatsigLinks: Sign up for email updates, get our takeaways and research photos from each episode, and vote on future topics!Our Vanguard "episode preview" in WSJStay the Course: The Story of Vanguard and the Index Revolution by John C. BogleThe Bogle Effect by Eric BalchunasWorldly Partners' Multi-Decade Vanguard StudyWorldly Partners' Article Generational Investing: The Discipline Behind 100+x OutcomesAll episode sourcesCarve Outs: Our WSJ pieces on Ferrari and VanguardMacBook Pro M5 MaxMichael MacKelvie on YouTubeThe Super Mario Galaxy MovieBrooks Vanguard sneakersMore Acquired: Get email updates and vote on future episodes!Join the SlackCheck out the latest swag in the ACQ Merch Store!00:00:00 Start00:00:41 Intro00:05:30 Jack Bogle's Early Life & Family Ruin (1929)00:12:34 Princeton Thesis & Mutual Funds Emerge (1949-1951)00:27:20 Joining Wellington Management (1951)00:30:38 The Go-Go Years & Fidelity's Ascent (1958-1965)00:40:36 Jack Takes the Reins & The Ivest Merger (1965)00:46:04 The Go-Go Bust & Jack's Crisis of Conscience (1970-1973)00:53:28 Jack is Fired: The Genesis of Vanguard (1974)01:13:03 The Journal Article That Inspired It All (1974-1976)01:35:02 Building the Fund & Early Struggles (1976-1981)01:44:32 The Rise of Indexing & Vanguard's Growth (1988-1992)01:49:06 Jack's Health & The CEO Transition (1995-1996)02:00:06 The ETF Debate & Jack's Second Firing (1999)02:24:18 The 2008 Financial Crisis: Vanguard's Moment02:30:46 The Warren Buffett Bet (2008-2019)02:41:28 Fidelity & BlackRock's Resurgence (Post-2008)02:52:04 Salim Ramji: Vanguard's First Outside CEO03:04:43 Wellington's Comeback & Mutual Ownership03:08:23 Analysis03:30:58 Quintessence03:39:35 Carve-Outs + Outro ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

    18 May

    •
    3h 48m
  • Eric Jang – Building AlphaGo from scratch

    15 May

    7

    Eric Jang – Building AlphaGo from scratch

    Eric Jang walks through how to build AlphaGo from scratch, but with modern AI tools. Sometimes you understand the future better by stepping backward. AlphaGo is still the cleanest worked example of the primitives of intelligence: search, learning from experience, and self-play. You have to go back to 2017 to get insight into how the more general AIs of the future might learn. Once he explained how AlphaGo works, it gave us the context to have a discussion about how RL works in LLMs and how it could work better – naive policy gradient RL has to figure out which of the 100k+ tokens in your trajectory actually got you the right answer, while AlphaGo’s MCTS suggests a strictly better action every single move, giving you a training target that sidesteps the credit assignment problem. The way humans learn is surely closer to the second. Eric also kickstarted an Autoresearch loop on his project. And it was very interesting to discuss which parts of AI research LLMs can already automate pretty well (implementing and running experiments, optimizing hyperparameters) and which they still struggle with (choosing the right question to investigate next, escaping research dead ends). Informative to all the recent discussion about when we should expect an intelligence explosion, and what it would look like from the inside. Watch on YouTube. Read the transcript. And check out the flashcards I wrote to retain the insights. Sponsors * Cursor‘s agent SDK let me build a pipeline to generate flashcards for this episode. For each card, I had an agent read the transcript, ingest blackboard screenshots, generate an SVG visual, and run everything through a critic. A durable agent is much better at this kind of work than a chain of LLM calls, and Cursor’s SDK made it easy. Check out the cards at flashcards.dwarkesh.com and get started with the SDK at cursor.com/dwarkesh * Jane Street gave me a real deep-dive tour of one of their datacenters. I got to ask a bunch of questions to Ron Minsky, who co-leads Jane Street’s tech group, and Dan Pontecorvo, who runs Jane Street’s physical engineering team. They were willing to literally pull up the floorboards and take out racks to explain how everything works. Check out the full tour at janestreet.com/dwarkesh Timestamps (00:00:00) – Basics of Go (00:08:17) – Monte Carlo Tree Search (00:32:04) – What the neural network does (01:00:33) – Self-play (01:25:38) – Alternative RL approaches (01:45:47) – Why doesn't MCTS work for LLMs (02:01:09) – Off-policy training (02:12:02) – RL is even more information inefficient than you thought (02:22:16) – Automated AI researchers Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    15 May

    •
    2h 37m
  • Google Part III: The AI Company

    06/10/2025

    8

    Google Part III: The AI Company

    Google faces the greatest innovator's dilemma in history. They invented the Transformer — the breakthrough technology powering every modern AI system from ChatGPT to Claude (and, of course, Gemini). They employed nearly all the top AI talent: Ilya Sutskever, Geoff Hinton, Demis Hassabis, Dario Amodei — more or less everyone who leads modern AI worked at Google circa 2014. They built the best dedicated AI infrastructure (TPUs!) and deployed AI at massive scale years before anyone else. And yet... the launch of ChatGPT in November 2022 caught them completely flat-footed. How on earth did the greatest business in history wind up playing catch-up to a nonprofit-turned-startup? Today we tell the complete story of Google's 20+ year AI journey: from their first tiny language model in 2001 through the creation Google Brain, the birth of the transformer, the talent exodus to OpenAI (sparked by Elon Musk's fury over Google’s DeepMind acquisition), and their current all-hands-on-deck response with Gemini. And oh yeah — a little business called Waymo that went from crazy moonshot idea to doing more rides than Lyft in San Francisco, potentially building another Google-sized business within Google. This is the story of how the world's greatest business faces its greatest test: can they disrupt themselves without losing their $140B annual profit-generating machine in Search? Sponsors: Anthropic: https://bit.ly/acquiredclaude25Sentry: https://bit.ly/acquiredsentryThe Acquired Meetup (in SF!): https://bit.ly/sentryacquiredmeetupWorkOS: https://acquired.fm/unpluggedPlaying Cards: https://bit.ly/workOSshop (Code: ACQDECK)Statsig: https://bit.ly/acquiredstatsig26Links: Sign up for email updates and vote on future episodes!Geoff Hinton’s 2007 Tech Talk at GoogleOur recent ACQ2 episode with Tobi LutkeWorldly Partners’ Multi-Decade Alphabet StudyIn the PlexSupremecyGenius MakersAll episode sourcesCarve Outs: We’re hosting the Super Bowl Innovation Summit!F1: The MovieTravelpro suitcasesGlue Guys PodcastSea of StarsStepchange Podcast More Acquired! Get email updates with hints on next episode and follow-ups from recent episodesJoin the SlackSubscribe to ACQ2Merch Store!© Copyright 2015-2026 ACQ, LLC ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

    06/10/2025

    •
    4h 4m
  • The AI Sec-Pocalypse Is Actually Nigh?

    11 May

    9

    The AI Sec-Pocalypse Is Actually Nigh?

    Google reported the first known case of hackers using AI to discover and weaponize a zero-day vulnerability. OpenAI launched a $4B+ deployment company and acquired Tomoro. Apple plans Liquid Glass refinements for macOS 27, TikTok rolls out an ad-free tier in the UK, and Ben Thompson argues agentic inference will reshape compute. Google's TIG reports the first known example of hackers using AI to discover and weaponize a zero-day; TIG's chief analyst says "this is the tip of the iceberg" (NYT) The 90-day vulnerability disclosure policy is dead, as LLMs compress bug finding and exploit development time, and critical issues must be patched immediately (Himanshu Anand) OpenAI launches the OpenAI Deployment Company with a $4B+ investment to help organizations build and deploy AI systems, and acquires AI consulting firm Tomoro (Reuters) Sources: Apple is working on a "slight redesign" for macOS 27 to address Liquid Glass issues and plans a feature to automatically group Safari tabs in "27" OSes (Bloomberg) TikTok is rolling out TikTok Ad-Free, a £3.99-per-month subscription for UK accounts aged 18 or older "over the coming months", after testing the option in 2023 (TechCrunch) Agentic inference is set to be different than today's inference, and will change compute infrastructure because speed won't matter when humans aren't involved (Stratechery) Learn more about your ad choices. Visit megaphone.fm/adchoices

    11 May

    •
    21 min

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