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Today in Tech

Today in Tech

By: Foundry
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Host Keith Shaw and his expert guests discuss the latest technology news and trends happening in the industry. Watch new episodes twice each week or listen to the podcast.Copyright Foundry - All rights reserved.
Episodes
  • The cancer breakthrough that saved his life — and could save thousands more
    Jan 27 2026
    This episode of Today in Tech is different. Instead of talking about enterprise software or cybersecurity, we step inside one man’s fight for survival — and the revolutionary medical technology that helped save his life. Keith Shaw is joined by Douglas Meijer (co-chairman, Meijer Inc.) and Dr. Brandon Mancini of BAMF Health to tell the astonishing story of how an often-overlooked cancer treatment called theranostics helped identify and target tumors that surgery and radiation couldn’t reach. After traveling overseas to receive life-saving care, Doug returned with a mission: bring this breakthrough to the United States so other patients wouldn’t have to leave the country for hope. In this deeply personal conversation, they explore: * What it feels like to receive a life-changing diagnosis * How precision medicine is replacing “one-size-fits-all” cancer treatments * Why theranostics acts like a guided missile against cancer — sparing healthy cells * How a new wave of AI is accelerating imaging, diagnosis, and personalized care * The barriers that still keep cutting-edge treatments out of reach for many patients * Why the future of cancer care may finally be shifting toward real cures This is a story about technology — but more importantly, it’s about hope, perseverance, and saving lives. If you or someone you love has faced cancer, this episode shows what’s now possible — and why the next decade could be the most hopeful in cancer treatment history. Learn more about theranostics and patient programs at bamfhealth.com.
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    32 mins
  • How AI really remembers, and why agents will keep forgetting
    Jan 20 2026
    Most people assume AI “remembers everything” — every chat, every command, every conversation. But that’s not how today’s systems actually work. On this episode of Today in Tech, Keith Shaw talks with Manifest AI CEO Jacob Buckman about how AI memory really works under the hood, why chatbots feel so different from humans, and what has to change for true long-running digital agents to become reality. Jacob explains concepts like short-term vs. long-term AI memory, context windows, KV caches, and “scratchpad” summaries in plain language. He uses analogies from medicine and the movie Memento to show why current AI tools can ace a single conversation but struggle to stay on task over hours, days, or projects. They also dig into hallucinations, why simply “making models bigger” isn’t enough, and how new architectures like power retention aim to give AI a more human-like ability to remember what actually matters over time. You’ll learn: * Why AI remembers everything inside a chat window but almost nothing between sessions * How today’s memory tricks (summaries, scratchpads, huge context windows) still fall short * How memory limits hold back reliable AI agents for coding, research, and creative work * Why better long-term memory could cut hallucinations and boost trust in business use cases * What “power retention” is — and how it could reshape the next generation of AI systems
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    42 mins
  • Why every AI agent can be hacked
    Jan 13 2026
    AI agents are exploding across the enterprise—but security hasn’t caught up. In this episode of Today in Tech, host Keith Shaw talks with Michael Bargury, co-founder and CTO of Zenity, about why every AI agent is inherently vulnerable, how zero-click attacks work, and what companies must do now to reduce their risk. Bargury explains how attackers can hijack AI agents with simple persuasion, plant malicious “memories,” and silently exfiltrate sensitive data from tools like Microsoft Copilot, ChatGPT, Salesforce, and Cursor, often without users ever clicking on anything. You’ll learn: * Why AI agents are always vulnerable by design * How prompt injection = persuasion, not just a technical bug * What zero-click agent attacks look like in the real world * How attackers can weaponize shared docs, Jira tickets, and email automations * Why there is no such thing as a “fully secure” agent platform * Practical steps to monitor, contain, and manage AI agent risk Chapters 0:00 – Introduction, overview: Why every AI agent can be hacked 1:00 – First enterprise AI attack on Microsoft Copilot 3:15 – Systemic vulnerabilities and why things got worse 4:35 – Why agents are always gullible by design 6:10 – Prompt injection vs simple persuasion 8:00 – Zero-click attacks explained 10:30 – Hacking ChatGPT via Google Drive & shared docs 13:40 – Planting malicious “memories” in your AI 15:30 – The Cursor + Jira “apples” exploit for stealing secrets 20:10 – Thousands of exposed Copilot Studio agents on the internet 23:30 – Goal hijacking: convincing agents to change their mission 24:50 – Dumping Salesforce data via a customer-success agent 26:50 – Soft vs hard security boundaries for AI 28:15 – What vendors fixed—and what they can’t fix 31:10 – Why “secure AI platform” is a myth 33:30 – What enterprises must own in the shared responsibility model 36:20 – Treating agents like risky insiders to monitor 39:00 – How AI security needs to evolve next 40:57 – Closing thoughts
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    42 mins
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