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  • Lock and Code
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    Super Data Science: ML & AI Podcast with Jon Krohn

    Jon Krohn

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  • Uncanny Valley | WIRED
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  • Why Is Meta In Crisis?; Google Search Is Over; AI Gets Booed by Graduates

    5 DAYS AGO

    1

    Why Is Meta In Crisis?; Google Search Is Over; AI Gets Booed by Graduates

    This week, the team discusses Meta’s recent layoffs and what they’ve been hearing from employees about the increasingly grim vibes at the company. They also talk about Musk losing his lawsuit against OpenAI, and Brian shares the key releases from Google’s annual conference — including an ambitious AI vision to browse the web as we know it. Finally, what do recent college graduates and women whose spouses work in AI have in common? They’re all sick of hearing about it.  Articles mentioned in this episode: Meta’s New Reality: Record High Profits. Record Low Morale | WIRED Everything Announced at Google I/O 2026: Gemini, Search, Smart Glasses | WIRED  Google Search Goes Agentic—and Doesn’t Need You Anymore | WIRED   Meet the Sad Wives of AI | WIRED  Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from the newest ventures to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices

    5 days ago

    •
    40 min
  • Big Tech can stop scams. They just don’t (feat. Marti DeLiema)

    19 APR

    2

    Big Tech can stop scams. They just don’t (feat. Marti DeLiema)

    A dreadful thing happens far too often whenever an older adult falls for a scam: They get blamed for it. Not the scammers who lied and cheated their victim out of money. Not law enforcement for failing to recover funds. Not even the Big Tech companies that could have the most important role in protecting people online—and which, it turns out, knowingly bring in revenue every year from fraud. Instead, it is the older adults themselves whose stories are often shirked aside because of a mix of ageism and denial. Allegedly left behind by technology, only an octogenarian would hand their password over in a phishing scheme, or open an email attachment from a stranger, or send money to a fake charity online. Everyone else, everyone else believes, is too savvy for the same. The data disagrees. When Malwarebytes studied this last year, it found that, depending on the type of scam—especially for things like “sextortion”—younger individuals were far more likely to report falling victim. Further, digging into data from the US Federal Trade Commission revealed entirely separate patterns. For example, while Americans between the ages of 80 and 89 reported the highest median loss due to fraud in 2024, they also made up the smallest share of their population to report a loss at all. And in 2025, that same group represented the smallest share of reported identity theft, a crime far more likely to be reported by people between 30 and 39. Questions about who reports what crimes at what rate are valid to explore, but it’s important to see the big picture: Americans lost at least $15.9 billion to fraud last year. Protecting older adults is actually about protecting everyone, and that’s because modern scams don’t arrive only where people over 70 spend time. They arrive where we all are, which is online. They come through endless text messages, they slide into social media DMs, and they prey on things any of us can be—a widow, a divorcee, or simply a lonely person. According to Marti DeLiema, Assistant Professor at the University of Minnesota’s School of Social Work, scams and fraud are now the most common form of organized crime globally, rivaling weapons trafficking, drug trafficking, human trafficking, and sex trafficking. In 2024 alone, she said, the FTC estimated that older adults in the US had as much as $81.5 billion stolen from them. And the tools meant to fight back—broad consumer awareness campaigns, embedded warning messages at the point of transaction, the training of bank tellers and retail clerks—are nowhere near keeping pace. So what actually works? And who, if anyone, is doing the work? Today, on the Lock and Code podcast with host David Ruiz, we speak with DeLiema about who is really susceptible to financial fraud, why victims often describe a scam as a form of betrayal trauma, and why the companies best positioned to stop scam messages from reaching consumers may be the ones least motivated to do so. “This is not a technical capability problem at all. This is a conflict of incentives.”Tune in today. You can also find us on Apple Podcasts, Spotify, and whatever preferred podcast platform you use. For all our cybersecurity coverage, visit Malwarebytes Labs at malwarebytes.com/blog. Show notes and credits: Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/ Outro Music: “Good God” by Wowa (unminus.com) Listen up—Malwarebytes doesn't just talk cybersecurity, we provide it. Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes Premium for Lock and Code listeners.

    19 Apr

    •
    41 min
  • Killer robots are here. Now what? (feat. Peter Asaro)

    5 APR

    3

    Killer robots are here. Now what? (feat. Peter Asaro)

    Big news: Lock and Code is nominated for a Webby Award! You can help us win the People’s Voice Award by voting here. --- We have to talk about killer robots. No, not the Terminator, and not some Boston Dynamics robot run amok. We have to talk instead about a technological reality that is very much already here. In late February, the artificial intelligence developer Anthropic made a perhaps surprising statement for those who are only familiar with its helpful chatbot tool Claude: The company would not allow the government to use its technology to kill people without proper safety controls. Hold on… what? Despite Anthropic’s reputation amongst most everyday people as the creator of a collaborative AI-powered assistant for coding, writing, and searching, the company had already deployed Claude across the US government for strategic military needs. According to Anthropic, Claude was used by the US Department of Defense and other national security agencies for “mission-critical applications, such as intelligence analysis, modeling and simulation, operational planning, cyber operations, and more.” But behind the scenes, the US government was asking for even more applications, and it wrapped all of its requests under a broad, vague term: “Any lawful use.” Anthropic bristled at the government’s request, defining two use-cases that were simply off limits: Mass surveillance of Americans and fully autonomous weapons—or, put another way, the powering of independent killer robots. As Anthropic said in its statement: “Frontier AI systems are simply not reliable enough to power fully autonomous weapons. We will not knowingly provide a product that puts America’s warfighters and civilians at risk. We have offered to work directly with the Department of War on R&D to improve the reliability of these systems, but they have not accepted this offer. In addition, without proper oversight, fully autonomous weapons cannot be relied upon to exercise the critical judgment that our highly trained, professional troops exhibit every day. They need to be deployed with proper guardrails, which don’t exist today.” Sure, the guardrails may not exist today, but do they—can they—exist at all? Today, on the Lock and Code podcast with host David Ruiz, we speak with Peter Asaro, chair of the Campaign to Stop Killer Robots, about what a killer robot actually is, how close we are to seeing them deployed, and what some of the hidden consequences are to rolling out impossibly-quick, decision-making technology into a landscape where deescalation requires time, space, and human judgment. ”This mass proliferation of targets, it just accelerates the speed of destruction and the intensity of destruction of warfare, and it doesn’t necessarily give you any kind of military or political advantage.”Tune in today. You can also find us on Apple Podcasts, Spotify, and whatever preferred podcast platform you use. For all our cybersecurity coverage, visit Malwarebytes Labs at malwarebytes.com/blog. Show notes and credits: Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/ Outro Music: “Good God” by Wowa (unminus.com) Listen up—Malwarebytes doesn't just talk cybersecurity, we provide it. Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes Premium for Lock and Code listeners.

    5 Apr

    •
    43 min
  • Don't Overcook the Asparagus - US Tech Titans vs. China's Rising Innovators

    18 MAY

    4

    Don't Overcook the Asparagus - US Tech Titans vs. China's Rising Innovators

    Is the era of American tech dominance ending? Get an inside look at how China's pragmatic approach to AI, robotics, and hardware is shifting the global balance, and why the US might need a new playbook to keep up. Trump and the CEOs go to China NVIDIA CEO joins Trump in China despite 'awkward' politics US clears H200 chip sales to 10 China firms as Nvidia CEO looks for breakthrough Empty Waymos invade Atlanta neighborhood, circle cul-de-sac for hours with no passengers The Class of 2026 is cooked Chinese AI groups pull ahead of US rivals in video generation race Google Weighs Using SpaceX to Launch Orbital Data Centers What smart people are saying about OpenAI's new $10 billion company to help businesses deploy AI Bitcoin trader recovers $400,000 using Claude AI after getting 'stoned' and losing wallet password 11 years ago — bot tried 3.5 trillion passwords before decrypting an old wallet backup Your Mattress Got Worse on Purpose Host: Leo Laporte Guests: Harper Reed and Amy Webb Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit scribe.how/twit shopify.com/twit box.com/AI NetSuite.com/TWIT

    18 May

    •
    2h 58m
  • Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299

    5 DAYS AGO

    5

    Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299

    As AI factories scale and token costs become a defining competitive variable, the way businesses measure infrastructure ROI needs to change. In this episode, Shruti Koparkar from NVIDIA's Accelerated Computing team breaks down tokenomics—the four-pillar framework of token utility, supply, demand, and monetization—and reveals why NVIDIA Blackwell's architecture delivers 50x more tokens per watt than NVIDIA Hopper, translating to a 35x reduction in token cost. 🔬Topics covered: The four pillars of tokenomics: utility, supply, demand, and monetization Why cost per token beats FLOPS per dollar as an infrastructure metric NVIDIA Blackwell vs. Hopper: 50x more tokens per watt, 35x lower token cost How extreme co-design turns spec-sheet numbers into real-world output Jevons paradox: why lower token cost always drives more GPU demand, not less The four business models for turning tokens into revenue Chapters: 00:00 – Introduction and the four pillars of tokenomics 02:09 – Token value: intelligence, interactivity, and use case mapping 06:32 – Estimating token demand: users, reasoning, and agentic multipliers 10:00 – Token supply and why cost per token is the right infrastructure metric 13:12 – NVIDIA Blackwell vs. Hopper: 50x more tokens, 35x lower cost 14:52 – Extreme co-design for lowest token cost and the NVIDIA Vera Rubin platform 21:10 – How software multiplies hardware performance (8x gains in six months) 23:56 – Token monetization: pricing and business models 26:52 – Jevons paradox and the future of GPU demand

    5 days ago

    •
    33 min
  • AI is distorting the Holocaust (feat. Clara Mansfeld)

    17 MAY

    6

    AI is distorting the Holocaust (feat. Clara Mansfeld)

    In May of last year, a warning about AI came from somewhere unexpected: The Auschwitz-Birkenau State Museum. Posting publicly on social media, the museum warned about a Facebook account using generative AI to create fake images of people who died in the Holocaust. The people in said images were sometimes real—with real names, birthplaces, and stories of deportation that the Auschwitz-Birkenau State Museum itself had shared before. They had real faces captured in real surviving photographs, which were likely abused to generate the false images. In other words, someone, or some team of people online, was deepfaking the Holocaust. As the Auschwitz museum wrote online: “These are not real photos of the victims. They are digital inventions, often stylized or sanitized, that risk turning remembrance into fictionalized performance. The history of Auschwitz is a well-documented story. Altering its visual record with AI imagery introduces distortion, no matter the intent.”Months later, the public found out what that intent was: money. A BBC investigation found an international network of Facebook accounts posting AI-generated images to earn money from those images’ potential virality. It’s a problem sometimes referred to as “AI slop” but it comes with a major incentive. When accounts that make these kinds of images are invited to Facebook’s content monetization program, they can make $1,000 a month for posting anything that gets clicks. And on Facebook, the BBC found, that means several accounts posting AI-generated images about the Holocaust. As the BBC reported: “AI spammers have posted fake images purporting to be from inside [Auschwitz], such as a prisoner playing a violin or lovers meeting at the boundaries of fences—attracting tens of thousands of likes and shares.”The economics of lying are concrete today. People can use AI to make fake images that make people feel good about terrible things or feel scared about untrue things, and they can make money until shut down by the Big Tech platforms themselves, which, in this case, only happened because of the BBC’s investigation. In fact, it’s that type of inaction from social media platforms that compelled the German government and multiple Holocaust memorial institutions to send an open letter earlier this year that asked for better controls and restrictions against this type of content. As the signatories warned in their letter, the economic appeal for these accounts to distort history is too high a risk to allow. You can read the full letter here. Today, on the Lock and Code podcast with host David Ruiz, we speak with Clara Mansfeld, a historian working on digital communications at one of the institutions signed onto the open letter—the Foundation of Hamburg Memorials and Learning Centers Commemorating the Victims of Nazi Crimes. In their conversation, Mansfeld discusses digital access to history, the manipulation of factual records through AI-generated imagery, and the threat that society faces when it becomes harder to evaluate the truth. “What happens when the first thought we have with every historical image is, ‘Is that even real or is that AI?’ I don’t think we have really grasped what that means for us as a society.”Tune in today. You can also find us on Apple Podcasts, Spotify, and whatever preferred podcast platform you use. For all our cybersecurity coverage, visit Malwarebytes Labs at malwarebytes.com/blog. Show notes and credits: Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/ Outro Music: “Good God” by Wowa (unminus.com) Listen up—Malwarebytes doesn't just talk cybersecurity, we provide it. Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes Premium for Lock and Code listeners.

    17 May

    •
    35 min
  • 993: How to Build AI-First Organizations, with Jacob Miller and Jeremy Mumford

    19 MAY

    7

    993: How to Build AI-First Organizations, with Jacob Miller and Jeremy Mumford

    For years, AI content has come in the form of “use this library, use this tool” tutorials that age out within months. Jacob Miller and Jeremy Mumford, co-authors of the brand new Wiley book Architected Intelligence, wanted to write something different, a guide to the higher-level principles of building AI products and AI-first organizations that will still be relevant in five or ten years. In this episode, the two Pattern engineers walk Jon Krohn through the core ideas of their book: why you should design products and processes so they can be executed by a human, an AI agent, or any hybrid combination; why most companies are still treating hallucinations as a model problem when they’re actually a data curation problem; why the natural progression of AI development goes skills, workflows, agents, not straight to agents; and why velocity, not models or data, is the only durable competitive advantage left. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.superdatascience.com/993⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (10:06) The User Agnosticism Tenet (20:02) The Zillow Offers parable (23:25) Why workflows should come before agents (29:57) Why data engineering is the bedrock of AI (52:41) Why velocity is the only durable moat

    19 May

    •
    1hr 10min
  • Snap’s Secret to Processing 10 Petabytes a Day: GPU-Accelerated Spark | NVIDIA AI Podcast Ep. 298

    13 MAY

    8

    Snap’s Secret to Processing 10 Petabytes a Day: GPU-Accelerated Spark | NVIDIA AI Podcast Ep. 298

    Snap processes more than 10 petabytes of experimentation data every single morning—and with NVIDIA GPU-accelerated Apache Spark on Google Cloud, Snap cut job costs by 76%, reduced memory usage by 80%, and eliminated 120 terabytes of disk spill from its pipelines. Prudhvi Vatala, head of engineering platforms at Snap, joins the NVIDIA AI Podcast to break down how he and his team completely modernized data infrastructure for a social platform serving nearly a billion monthly active users—using NVIDIA cuDF plugin (formerly referred to as NVIDIA RAPIDS plugin) for Apache Spark on Google Kubernetes Engine, with zero application code changes. 🔬Topics covered: How Snap runs A/B tests at planetary scale using rigorous statistical methods like heterogeneous treatment effect detection and variance reduction Why Snap reuses idle inference GPUs between 1–5 a.m. for batch data processing—and how it built a Kubernetes-based platform to do it How NVIDIA cuDF delivered 3x+ speedups on join-heavy Spark jobs with no code rewrites The full business impact: 76% cost reduction, 62% fewer cores, 80% less memory, 120 TB of spill eliminated How a three-way partnership between Snap, NVIDIA, and Google Cloud made it possible in just 8–9 months Chapters: 0:00 Introduction and Snap overview 3:35 What is Snap’s experimentation platform? 4:05 Why experimentation, safety, and privacy are core at Snap 4:52 How A/B testing works at billion-user scale 8:14 Discovering NVIDIA cuDF plugin 9:06 Benchmarking results: join, union, and aggregation jobs 12:00 Reusing idle GPUs overnight via GKE 13:24 Building a bottom-up GPU data platform at Snap 17:48 Results: 76% cost reduction and partnership impact 20:56 Snap’s evolution and what’s next Learn more: NVIDIA cuDF: https://developer.nvidia.com/topics/ai/data-science/cuda-x-data-science-libraries/cudf#accel-apache

    13 May

    •
    24 min
  • U.S. Congressman Beyer on AI challenges facing America and the World

    14 MAY

    9

    U.S. Congressman Beyer on AI challenges facing America and the World

    U.S. Congressman Don Beyer returns to Practical AI for another far-reaching conversation with Chris about many of the most important AI challenges facing America and the world.  Blending political savvy and statesmanship with his unique technical understanding as an active Ph.D student in AI at George Mason University (making him the coolest member of Congress!), the congressman shares his perspective about the really hard AI concerns that you would have asked him yourself.  Together, Congressman Beyer and Chris explore AI regulation, cybersecurity concerns sparked by advanced models like Mythos, bipartisan AI governance efforts, and the growing AI race between the U.S. and China. They fearlessly dived headfirst into AI-driven job displacement, mass surveillance, autonomous weapons, existential risk, and the philosophical questions surrounding consciousness and superintelligence as AI continues to accelerate.  This is an unusual and insightful conversation you don't want to miss! Congressman Beyer was previously on Practical AI episode 271 on May 29, 2024:AI in the U.S. Congress Featuring: Congressman Don Beyer – Congress, LinkedIn, Bluesky, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XUpcoming Events:  Register for upcoming webinars here!Midwest AI Summit 2026

    14 May

    •
    45 min
  • Chris Hayes on Calibrating Your AI Anxiety

    15 MAY

    10

    Chris Hayes on Calibrating Your AI Anxiety

    How should you feel about the AI boom? In this episode of Galaxy Brain, Charlie Warzel speaks with Chris Hayes about how to emotionally calibrate our response to this dizzying AI moment. Hayes describes why AI gives him “The Bad Feeling,” and how it led him to report on AI like an anthropologist would. The two discuss why AI is described as “the jagged frontier,” and they explore the distinction between using AI for creative thinking versus grunt work. Get more from your favorite Atlantic voices when you subscribe. You’ll enjoy unlimited access to Pulitzer-winning journalism, from clear-eyed analysis and insight on breaking news to fascinating explorations of our world. Atlantic subscribers also get access to exclusive subscriber audio in Apple Podcasts. Subscribe today at TheAtlantic.com/Listener. Learn more about your ad choices. Visit megaphone.fm/adchoices

    15 May

    •
    47 min

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Asia Pacific

  • Afghanistan
  • Australia
  • Bhutan
  • Brunei Darussalam
  • Cambodia
  • 中国大陆
  • Fiji
  • 香港
  • Indonesia (English)
  • 日本
  • Kazakhstan
  • 대한민국
  • Kyrgyzstan
  • Lao People's Democratic Republic
  • 澳門
  • Malaysia (English)
  • Maldives
  • Micronesia, Federated States of
  • Mongolia
  • Myanmar
  • Nauru
  • Nepal
  • New Zealand
  • Pakistan
  • Palau
  • Papua New Guinea
  • Philippines
  • Singapore
  • Solomon Islands
  • 台灣
  • Thailand
  • Tonga
  • Turkmenistan
  • Uzbekistan
  • Vanuatu
  • Vietnam

Europe

  • Albania
  • Armenia
  • Österreich
  • Belarus
  • Belgium
  • Bosnia and Herzegovina
  • Bulgaria
  • Croatia
  • Cyprus
  • Czechia
  • Denmark
  • Estonia
  • Finland
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  • Georgia
  • Deutschland
  • Greece
  • Hungary
  • Iceland
  • Ireland
  • Italia
  • Kosovo
  • Latvia
  • Lithuania
  • Luxembourg (English)
  • Malta
  • Moldova, Republic Of
  • Montenegro
  • Nederland
  • North Macedonia
  • Norway
  • Poland
  • Portugal (Português)
  • Romania
  • Россия
  • Serbia
  • Slovakia
  • Slovenia
  • España
  • Sverige
  • Schweiz
  • Türkiye (English)
  • Ukraine
  • United Kingdom

Latin America and the Caribbean

  • Anguilla
  • Antigua and Barbuda
  • Argentina (Español)
  • Bahamas
  • Barbados
  • Belize
  • Bermuda
  • Bolivia (Español)
  • Brasil
  • Virgin Islands, British
  • Cayman Islands
  • Chile (Español)
  • Colombia (Español)
  • Costa Rica (Español)
  • Dominica
  • República Dominicana
  • Ecuador (Español)
  • El Salvador (Español)
  • Grenada
  • Guatemala (Español)
  • Guyana
  • Honduras (Español)
  • Jamaica
  • México
  • Montserrat
  • Nicaragua (Español)
  • Panamá
  • Paraguay (Español)
  • Perú
  • St. Kitts and Nevis
  • Saint Lucia
  • St. Vincent and The Grenadines
  • Suriname
  • Trinidad and Tobago
  • Turks and Caicos
  • Uruguay (English)
  • Venezuela (Español)

The United States and Canada

  • Canada (English)
  • Canada (Français)
  • United States
  • Estados Unidos (Español México)
  • الولايات المتحدة
  • США
  • 美国 (简体中文)
  • États-Unis (Français France)
  • 미국
  • Estados Unidos (Português Brasil)
  • Hoa Kỳ
  • 美國 (繁體中文台灣)