• 10 minutes 37 seconds
    990: Inside Mythos: Anthropic's Locked-Down Frontier Model

    Anthropic has built a frontier AI model so capable at finding software vulnerabilities that it has decided not to release it to the general public. In this Five-Minute Friday, Jon Krohn breaks down Claude Mythos Preview, a general-purpose model whose hacking abilities emerged as a side effect of broad improvements in code understanding and reasoning. Find out how Mythos achieved a nearly 100x improvement over Opus 4.6 on Firefox exploit generation, why Mozilla patched 271 vulnerabilities in a single release using an early version of the model, and what Project Glasswing Anthropic’s gated industry consortium means for the future of cybersecurity. Jon also shares practical tips for securing the code you’re generating with AI tools.


    Additional materials:⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/990⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

    8 May 2026, 11:00 am
  • 1 hour 4 minutes
    989: Security for Mythos-Era Agentic Risks, with Rubrik’s Anneka Gupta and Cal Al-Dhubaib

    Rubrik’s Anneka Gupta and Cal Al-Dhubaib speak to Jon Krohn about cybersecurity measures, the risks AI in business might pose for malicious attacks, and why AI should be kept “boring.” Find out how Rubrik safeguards client data, what zero trust is in the context of cybersecurity, and why cyber-resilience needs to be a top priority for companies looking to adopt AI.


    Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/989⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.


    In this episode you will learn:

    • (02:25) All about Rubrik                                  
    • (08:51) The announcement of Claude Mythos             
    • (26:26) Utilizing zero trust                  
    • (40:36) About the Rubrik agent cloud  
    5 May 2026, 11:00 am
  • 35 minutes 40 seconds
    988: In Case You Missed It in April 2026

    In this month’s episode of In Case You Missed It, Jon Krohn talks to guests about memory and education, and how artificial intelligence is continuing to help lower the barriers to access. Hear from Matt Glickman, Traci Walker-Griffith, Richmond Alake, and Linda Haviv, discussing the foundations of AI agent memory, how engineers can develop at scale, and why they believe AI could be your child’s perfect tutor in the classroom.


    Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/988⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

    1 May 2026, 11:00 am
  • 1 hour 17 minutes
    987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Haviv

    Linda Haviv talks to Jon Krohn about staying current on AI matters, why open-source technology is narrowing the gap in its race with proprietary models, and how being a content creator in tech is key to career growth and longevity. She emphasizes that non-linear pathways to a career in tech can give applicants an edge, and stresses the importance of continuous upskilling to “stay relevant.” In her view, systems thinking is becoming more important than coding skills. Hear why in this episode.


    Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/987⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.


    In this episode you will learn:

    • (03:43) Linda Haviv on AI education  
    • (13:16) The future of coding
    • (27:00) Having a side hustle in today’s economy        
    • (31:01) On becoming a content creator for tech
    • (1:00:14) How open source could disrupt the AI landscape
    28 April 2026, 11:00 am
  • 29 minutes 43 seconds
    986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian

    CTO of Propel Software Kishore Subramanian talks to Jon Krohn about how product lifecycle management (PLM) software and quality management systems (QMS) help ensure compliance, record management, and quality assurance. Listen to the episode to hear Kishore Subramanian talk about best practices for getting started with Agentforce 360, his top tips for deploying AI projects, and why yoga and meditation could make you better at building AI products!


    Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/984⁠⁠⁠⁠⁠


    Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.⁠⁠⁠


    In this episode you will learn:

    • (05:21) How Propel Software meets its customers’ demands
    • (07:57) About Propel One AI 
    • (13:31) A case study for Salesforce’s Agentforce 360 Platform
    • (17:08) How to build an enterprise-ready agent with Agentforce 360
    • (19:21) How to get your AI tool into production
    24 April 2026, 11:00 am
  • 1 hour 4 minutes
    985: The Four Types of Memory Every AI Agent Needs, with Richmond Alake

    Oracle’s Director of AI Developer Experience Richmond Alake returns to the show to talk to Jon Krohn about agent memory; the network of systems, models, databases and LLMs that enable AI agents to learn and adapt over time. Listen to the episode to hear about Richmond’s “100 Days of Agent Memory” initiative, retrieval-augmented generation’s (RAG) limitations with AI agents, the layers of the AI agent stack, and what makes the Oracle AI database so useful to developers.


    Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/985⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.


    In this episode you will learn:

    • (03:15) What agent memory is and why it’s important
    • (28:28) RAG’s limitations for AI agents 
    • (35:19) What matters in the AI agent stack beyond memory
    • (41:34) Why memory was undervalued in the AI agent stack
    21 April 2026, 11:00 am
  • 29 minutes 18 seconds
    984: Building AI Agents Where 99.9% Accuracy Isn't Good Enough, with Raju Malhotra

    Raju Malhotra, Chief Product and Technology Officer at Certinia, talks to Jon Krohn about the so-called SaaSpocalypse and how agentic AI is proving the doomsayers wrong. Listen to the episode to hear more about Certinia’s work with Salesforce and building with Agentforce 360, the three elements required for enterprise-grade agents, how AI agents have benefitted Certinia’s customers, and how to keep your work portfolio fresh and interesting to recruiters.


    Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/984⁠⁠⁠⁠


    Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.⁠⁠⁠


    In this episode you will learn:

    • (01:24) What Certinia does for professional services companies

    • (08:45) Why the "SaaSpocalypse" is wrong

    • (13:19) Agentforce 360 and how Certinia builds on it

    • (15:06) The three elements required for enterprise-grade agents

    • (18:02) How AI agents have impacted Certinia's customers

    17 April 2026, 11:00 am
  • 1 hour 12 minutes
    983: AI in the Classroom: How a Top Elementary School Is Doing It Right, with Principal Traci Walker Griffith

    My guest today took a public school that was about to be shut down and turned it into the number one school in Boston, and AI is her latest secret weapon. In a long-overdue episode on AI for supporting children’s education, hear directly from Principal Traci Walker Griffith how her teachers have been experimenting with AI in classrooms, what works, what doesn’t work, and what’s next for kids as LLMs continue to improve.


    Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/983⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.


    In this episode you will learn:

    • (03:38) The Eliot School’s transformation from closure list to number one in Boston
    • (08:54) How the school began using Claude for AI-assisted writing feedback
    • (18:14) How younger students benefit from AI behind the scenes
    • (23:46) How older students interact with AI directly
    • (41:11) Three prompt engineering failure modes and how to fix them
    • (55:29) Responding to the Brookings report on AI risks in education
    14 April 2026, 11:00 am
  • 44 minutes 18 seconds
    982: In Case You Missed It in March 2026

    Jon Krohn rounds up March’s interviews in this ICYMI episode. Hear from AI and data science experts across the fields of education and business in this wide-ranging series of clips that take listeners from the Renaissance to the near future. Guests include Lin Quiao (Episode 971), Chris Fregly (Episode 973), Zack Kass (Episode 975), Kyunghyun Cho (Episode 977), and Rohit Choudhary (Episode 979).  


    Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/982⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

    10 April 2026, 11:00 am
  • 1 hour 14 minutes
    981: How Data Engineers Are “10x’ing” Themselves With Agents, feat. Matt Glickman

    Matt Glickman talks to Jon Krohn about co-founding the agentic-platform startup, Genesis Computing, how his experience at Goldman Sachs paved the way for developing AI agents, and where he thinks agentic AI has just as much value as a company’s human employees. This February, Genesis Computing revealed how its platform can offer the guardrails so crucial to businesses, alongside increased capabilities that help execute entire workflows from research to deployment.


    Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/981⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.


    In this episode you will learn:

    • (12:56) Cloud adoption in finance and healthcare

    • (18:28) How Genesis Computing uses AI agents 

    • (31:05) AI agents replacing humans in the workplace 

    • (56:25) An argument for encouraging enterprises to use AI   

    7 April 2026, 11:00 am
  • 9 minutes 49 seconds
    980: AI Making Theoretical Physics Breakthroughs

    A team of theoretical physicists from Harvard, Cambridge, the Institute for Advanced Study, and Vanderbilt used OpenAI’s models not just as a tool, but as a collaborator, cracking a problem in particle physics that had stymied them for months. In this Five-Minute Friday, Jon Krohn walks through how GPT-5.2 Pro simplified a 32-variable mathematical expression into a single line, proposed what it called the “obvious generalization” for any number of gluons, and how a more powerful internal model then produced a formal proof after 12 hours of autonomous reasoning. Find out why this may be a template for AI-assisted scientific discovery and what it means for the future of research.


    Additional materials:⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/980⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


    Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

    3 April 2026, 11:00 am
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