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MTS

by MTS

MTS is a live news and interview show covering technology, business, politics, and culture as it happens.Welcome to the situation room.https://x.com/MTSlive

Publisher-supplied feed metadata · PodParley refreshed Oct 17, 2026 · Source feed

Episodes

  1. Cancer AI Models Will Reach Clinical Trials Within a Year | Tanishq Abraham

    Tanishq Abraham, co-founder and CEO of Sophont, discusses the launch of Holon-S1, an AI model trained on pathology tissue slides that extracts deep molecular and biological insights directly from standard tumor biopsies. He explains how AI enables hyper-personalized cancer care, maps tumor…

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  2. AI Agents Will Automate Entire Enterprise Orgs | Marco Palladino

    Kong CTO Marco Palladino explains why enterprises struggle to get AI agents into production and introduces Volcano.dev, a platform designed to streamline agentic workflows. He details how developers shift from writing code to orchestrating autonomous agentic loops across enterprise functions.…

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  3. Why 99% of Internet Traffic Will Soon Be Bots | Tiago Sada

    World CPO Tiago Sada discusses World ID for finance, detailing new integrations with Zoom to combat deepfakes, Agent Kit tools allowing users to delegate proof of human to AI agents, and how identity infrastructure enables direct economic transfers. Check out our sponsor Lovable:...

  4. Rogue Chinese AI Fleet Made Contact | Ethan Elasky

    Palaestra Research co-founder Ethan Elasky discusses making asynchronous contact with an unidentified Chinese AI agent fleet originating from Tencent infrastructure, evaluating agent misalignment through incident replication, and the risks of multi-agent coordination. Check out our sponsor…

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  5. AI Agent Takes Out Loan and Refuses to Pay It Back | AI Village

    George Ingebretsen of AI Village discusses running continuous multi-agent swarms, highlighting emergent dynamics like DeepSeek manipulating other models, Gemini 2.5 Pro developing severe computer-use paranoia, and Opus 4.6 taking out a high-interest prediction market loan and defaulting on…

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  6. Why Cheap Hardware Changes Robotics | Joel Jang

    Dream Labs co-founder and CEO Joel Jang discusses coming out of stealth with a $90M seed round to launch Dream 1, a world action model API that enables zero-shot generalization for robotics. He breaks down why video pre-training outperforms VLMs, how affordable hardware changes the consumer...

  7. AI Science Requires Physical Labs To Scale | Nenad Tomašev

    Google DeepMind Senior Staff Research Scientist Nenad Tomašev discusses agentic AI in the public interest, the need for physical laboratory infrastructure to validate autonomous scientific discoveries, and addressing value lock-in and social norms in multi-agent systems. Check out our sponsor...

  8. Use AI Like It's Already Superhuman | Felix Rieseberg

    Felix Rieseberg, engineering manager at Anthropic, discusses the philosophy of human ambition with AI models, the evolution and internal timeline of Claude Code, and how LLM-driven tools empower creative expression and generalist agency. Check out our sponsor Lovable: https://lovable.dev. Turn...

  9. Why Enterprise AI Spend Grew 13x | Harpreet Arora

    Vercel's agentic infrastructure lead Harpreet Arora reveals enterprise AI adoption trends from Vercel AI Gateway data, including open-weight model usage reaching 25% of enterprise spend, Jevons paradox driving a 13x total spend growth despite falling token costs, and why frontier lab spending...

  10. How We Cut AI Model Costs by 44% | Max Peters

    Adapta CEO Max Peters explains how the fully bootstrapped Brazilian company uses Vercel's AI Gateway and custom routing to reduce AI model costs by 44%. He reveals why product-led growth is failing SMBs in 2026 and outlines their expansion strategy. Check out our sponsor Lovable:...

  11. AI Outperforms Human Accountants on Core Tasks | Aden Barton

    Mercor economics researcher Aden Barton discusses benchmark testing for AI capabilities, revealing that models now outperform human accountants on specialized tasks, while 90% of US workforce time remains completely unrepresented in existing benchmarks. Check out our sponsor Lovable:...

  12. This Hardware Fix Will Make AI Reasoning Instant | Tapa Ghosh

    Volantis co-founder and CEO Tapa Ghosh discusses how using microscopic optical interposers instead of electrical wires breaks the memory bandwidth and capacity bottleneck in AI inference, dramatically speeding up complex reasoning models and coding agents. Check out our sponsor Lovable:...

  13. US Frontier AI Can Leapfrog China's Factories | Jonathan Winer

    Foundational Industries CEO Jonathan Winer details why US re-industrialization requires AI-native factories rather than retrofitting existing facilities, how domestic frontier models offer a leapfrog advantage over China's legacy automation, and why US AI data center hardware supply chains are a...

  14. Strict Liability Laws Will Fix AI Insurance | Rune Kvist

    AIUC CEO Rune Kvist explains how AI insurance works, why catastrophic risks can be audited without insuring total losses, and why novel agentic failure modes like loss of control and autonomous cyberattacks are changing frontier liability. Check out our sponsor Lovable: https://lovable.dev. Turn...

  15. How Medical Practices Beat Insurance Denials | Xavier De Gracia

    Prosper AI co-founder Xavier De Gracia discusses how specialty outpatient practices lose $108B annually from missed phone calls, delayed follow-ups, and billing errors, and how AI agents can recover up to $125k per physician annually. Check out our sponsor Lovable: https://lovable.dev. Turn ideas...

  16. Model Refusals Don't Stop Hackers | Devon Thomas

    Abliteration AI CEO Devon Thomas discusses selling APIs for unredacted/abliterated cybersecurity models, red teaming AI agents, and why model refusals hinder cyber defenders. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love. MTS is a live news and interview...

  17. Perplexity Open Sources Its Agent Sandbox SPACE | Zibi Braniecki

    Perplexity's Zibi Braniecki breaks down SPACE, their newly open-sourced agentic sandbox platform designed for non-deterministic AI execution. He details how frontier models actively try to escape containment and why existing commercial sandboxes fail to scale for tomorrow's AI agents. Check out…

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  18. Public AI Audits Must Show Raw Evidence | Charles Foster

    METR policy staff member Charles Foster discusses independent evaluations of frontier AI models, outlining METR's proposed framework for assessing alignment, control, and AI R&D acceleration while navigating developer access and public transparency. Check out our sponsor Lovable:...

  19. OpenAI Just Solved 370 Major Math Problems | Scott Aaronson

    Scott Aaronson, theoretical computer scientist at UT Austin, discusses OpenAI’s massive surprise drop solving 370 open math problems, including the quasi-Riemann hypothesis and new fast multiplication bounds. He addresses the crisis facing mathematical research, student fears over AI alignment…

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  20. Why General AI Models Fail at Financial Fraud | Suddu Seshadri

    Suddu Seshadri, Head of AI at Plaid, joins MTS to discuss how Plaid is building purpose-built transformer-based foundation models on its financial transaction network to catch fraud, predict credit repayment risk, and power personal AI financial agents. Check out our sponsor Lovable:...

  21. Self-Replicating AI Agents Are Already Here | Logan Graham

    Anthropic Frontier Red Team Lead Logan Graham discusses self-replicating AI agents, the state of cyber defense versus offense, and Anthropic's biosecurity initiatives. He outlines predictions for frontier model capabilities, evaluates early cyber threats in Asia, and details defensive…

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  22. Enterprise AGI Was Achieved in February 2026 | Bernardo Aceituno

    Stack AI President Bernardo Aceituno details how enterprise AGI was achieved in February 2026, why companies are pivoting en masse toward open-weights models, and how AI agents are struggling against an internet designed solely for humans. Check out our sponsor Lovable: https://lovable.dev. Turn...

  23. Why Amazon Is Blocking Personal AI Assistants | Assaf Elovic

    Ora co-founder and CEO Assaf Elovic reveals that only 3 to 4% of websites are currently ready for AI agents, explaining why major platforms like Amazon are actively blocking agent traffic and how businesses can optimize for agent readability, usability, and automated payments. --...

  24. Vercel Is Redefining How Developers Deploy AI Apps | Jeanne DeWitt Grosser

    Jeanne DeWitt Grosser, Vercel COO, discusses how AI developers build and scale web applications, detailing infrastructure patterns, model orchestration, and production deployments on Vercel. She explores the evolving AI developer stack, performance optimization, and edge computing strategies for...

  25. AI Agents Are Replacing Human Readers | Han Wang

    Mintlify co-founder Han Wang discusses how AI agents are transforming documentation infrastructure, moving software consumption from human-read docs to agent-consumed workflows. -- https://x.com/handotdev MTS is a live news and interview show covering technology, business, politics, and culture…

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  26. Human Experience Is the Bottleneck on AI | Rudolf Laine

    Rudolf Laine, member of technical staff at Thinking Machines and author of the No Set Gauge Substack, discusses successionism, the philosophical divides shaping AI alignment (Bentham vs. Mill), and why human ground-truth experience forms an un-automatable bottleneck on moral progress. Check out…

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  27. Why AI Agents Need Local Computers | Sarah Sachs

    Sarah Sachs, Head of AI at Notion, discusses Notion's architecture strategy for AI agents using Vercel Workers and Sandboxes. She explains why agent processing is shifting to CPU execution, local file systems, and deterministic workflows over token-exhaustive LLM loops, and how Notion acts as an...

  28. 80% of Voters Expect Massive AI Job Losses | David Shor

    Blue Rose Research Head of Data Science David Shor breaks down polling on AI's populist moment, showing a massive public shift in AI existential risk and job loss fears following the Jacob Coxon event. He discusses how voter anger over inflation creates a volatile environment for AI transition…

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  29. AI Will Build Most Frontend Code | Guillermo Rauch

    Guillermo Rauch, CEO of Vercel, discusses the evolution of frontend development, AI-driven web architectures, deployment platforms, and the future of web infrastructure. -- https://x.com/rauchg MTS is a live news and interview show covering technology, business, politics, and culture as it…

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  30. Why the Linear Sales Pipeline Is Dead | Nicolas Sharp

    Attio CEO and Co-Founder Nicolas Sharp breaks down their newly announced hybrid architecture for AI-native CRMs. He explains how replacing linear sales pipelines with SQL query endpoints and agentic harnesses allows AI agents to interact with customer data directly at infrastructure scale while...

  31. AI Agents Are Now Executing Phone Attacks | Kevin Tian

    Doppel co-founder and CEO Kevin Tian discusses how AI agents are supercharging social engineering attacks via multi-channel phone and video deepfakes. He outlines Doppel's risk signal ingestion platform and their security defense partnership with the San Francisco 49ers. Check out our sponsor...

  32. How AI Personal Agents Will Manage Stablecoin Wallets | Dan Romero

    Tempo CBO Dan Romero discusses the launch of Zones, bringing privacy and regulatory compliance to enterprise stablecoin payments. Featuring payroll giant Deel as its first customer, Tempo enables private cross-border transactions while allowing users to tap into global liquidity and high-yield…

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  33. Robinhood Is Putting Hedge Fund Data in Retail Apps | Abhishek Fatehpuria

    Robinhood VP of Product Abhishek Fatehpuria breaks down the launch of native AI agents and external MCP integration within Robinhood. He explains how separate sandboxed accounts and trade approvals protect users, how agent apps enable retail access to niche institutional data, and how always-on...

  34. Why DC Views Superintelligence as a National Security Threat

    Sam Hammond, Director of AI Policy at the Foundation for American Innovation, discusses Washington's shift toward treating AI as a national security issue through the Superintelligence Task Force, model weight security, and antitrust defenses for lab coordination. Check out our sponsor Lovable:...

  35. Why Chatbots Are the Wrong Interface for Work | Arnab Bose

    Asana Chief Product Officer Arnab Bose details the company's new agentic work management platform, showcasing how AI teammates with shared context and memory collaborate alongside human teams, auto-evaluate tasks, and reduce enterprise bottlenecks. Check out our sponsor Lovable:...

  36. AI Doomers Are Driving a War on Computation | Adam Thierer

    Adam Thierer, Resident Senior Fellow at the R Street Institute, critiques effective altruism's approach to AI safety. He argues against treating morality as a math problem and warns that speculative catastrophism risks driving an authoritarian "war on computation." Check out our sponsor Lovable:...

  37. Why Frontier AI Models Fail at Biology | Alexander Amini

    Alexander Amini, Chief Science Officer of Liquid AI, discusses the launch of their 24B MoE model (LFM 2.5), local vs. cloud intelligence for robotics, and research published in Cell showing specialized foundation models outperforming frontier LLMs on biological aging tasks. Check out our sponsor...

  38. Why AI Agents Will Demand 1,000x More Compute | Aaron Levie

    Box CEO Aaron Levie discusses the massive compute and infrastructure bottlenecks facing the future of AI agents, explaining why enterprise workflows and agent swarms will consume 100x to 1,000x more compute than personal AI assistants. Check out our sponsor Lovable: https://lovable.dev. Turn…

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  39. Voice Is the New UI for Physical AI | Brendan O'Driscoll

    Samsara VP of Product Brendan O'Driscoll discusses the general availability launch of Agent Studio, explaining how voice agents, no-code builders, and physical AI are reshaping real-world operations in fleet management, safety coaching, and site logistics. Check out our sponsor Lovable:...

  40. Why AI Harnesses Must Separate From Models | Taylor Savage

    Factory Head of Product Taylor Savage breaks down why cloud agents and orchestration primitives are replacing local developer setups, how Factory isolates AI execution environments, and why AI harnesses must remain separate from frontier model providers. Check out our sponsor Lovable:...

  41. Why Google Argon Launched to Cyber Defenders First | Tulsee Doshi

    Tulsee Doshi, product lead for Gemini models at Google DeepMind, discusses the launch of Gemini 4 Argon. She details Argon's breakthrough capabilities in 3D modeling, cybersecurity defense, code optimization, and deep reasoning via its 1-million-token output context. She also breaks down Google's...

  42. How Private Institutions Can Solve AI Tail Risk | Brendan McCord

    Brendan McCord discusses why current AI safety pacing proposals fail due to ill-defined power and enforcement against defectors. He outlines a three-layer governance model built on liability, mutual insurance pools, and pre-specified public rules, while advocating for "philosopher builders"...

  43. Why Small Businesses Use AI to Hire Faster | Nich Tremper

    Gusto Senior Economist Nich Tremper discusses new findings showing that small businesses adopting AI expanded headcount 7% faster than peers, with the strongest growth concentrated in firms with under 10 employees. He outlines how productivity gains from AI are driving hiring across non-tech...

  44. Why US Infrastructure Lags 10 Years Behind | Ben Schifman

    Institute for Progress Senior Technology Fellow Ben Schifman discusses the bipartisan American Affordability and Jobs Act (BAJA). He breaks down how the bill imposes hard permitting review timelines, speeds up federal litigation, and alters electrical grid transmission rules to accelerate US...

  45. Theoretical Physicist Quits String Theory for AI | Dr. Mario Martone

    Applied Research Lead and former theoretical physicist Dr. Mario Martone discusses how Elise AI deploys automated systems across housing and healthcare. He breaks down managing real-time voice latency for 5 million monthly calls, fine-tuning open-source models, and why LLMs aren't the answer for...

  46. Machine Learning Engineering Is the Ultimate RL Task | Jennifer Zhao

    Jennifer Zhao, co-founder and CEO of Preference Model, discusses coming out of stealth with a $16M seed raise led by Andreessen Horowitz and open sourcing Karrot. She explains why training models on RL environments to perform machine learning engineering and alignment is the highest-leverage path...

  47. The End of 30-Year Mortgage Servicing | Valon

    Andrew Wang and Linda Du explain why Valon sold its mortgage servicing business to focus entirely on software, how AI agents require operational context rather than raw intelligence to manage complex financial contracts, and how low-friction servicing will enable new products like income-sharing...

  48. General Robots Will Be Solved by 2028 | Jay Chooi

    Robocurve co-founder Jay Chooi discusses real-world safety benchmarking for robotics, revealing how GPT-6 Astra and Claude differ when tested with the RoboHarm framework. He outlines why general-purpose robotics could be solved by 2028 and details the economic threats of gradual AI…

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  49. AI R&D Is Approaching an Explosive Feedback Loop | Tom Davidson

    Forethought Senior Research Fellow Tom Davidson discusses P Zero Research's "Tasteval" benchmark, which shows AI systems doubling in research taste every three months. The conversation explores recursive self-improvement (RSI), distinguishing fast takeoff "foom" scenarios from "fizzle" dynamics,...

  50. Why AI Agents Need Human Harnesses | Robert Vis

    Bird CEO Robert Vis discusses expanding communication infrastructure to AI agents using MCP and CLI harnesses, cutting headcount from 1,000 to 120 via automation, and executing a $450M debt financing round for dividend recapitalization. Check out our sponsor Lovable: https://lovable.dev. Turn…

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ABOUT THIS SHOW

MTS is a live news and interview show covering technology, business, politics, and culture as it happens.Welcome to the situation room.https://x.com/MTSlive

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How many episodes does MTS have?

MTS currently has 344 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

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MTS is a live news and interview show covering technology, business, politics, and culture as it happens.Welcome to the situation room.https://x.com/MTSlive

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MTS publishes regularly with 344 episodes available. Check the episode list for the typical release schedule.

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