Has AI benchmarking reached its limit, and what do we have to fill this gap? Sinan Ozdemir speaks to Jon Krohn about the lack of transparency in training data and the necessity of human-led quality assurance to detect AI hallucinations, when and why to be skeptical of AI benchmarks, and the future of benchmarking agentic and multimodal models.
Additional ... Show More
Oct 30
1040: Cybersecurity for the Agentic AI Era, with Amy Blackshaw
In Episode #1040, Amy Blackshaw (SVP at Palo Alto Networks) joins Jon Krohn to explain what changes about cybersecurity when attackers can think for free. Nearly every breach, Amy argues, comes down to someone getting hold of an identity they should not have had, and frontier AI ... Show More
34m 38s
Oct 27
1039: AI for Real Estate, Walkable Cities and Climate Action, with Prof. John Renne
In Episode #1039, Prof. John Renne (Professor of Real Estate and Urban Planning at Tulane University) joins Jon Krohn to describe what happens when a tenured full professor goes back to school for a master’s in AI. John is a world-leading expert on transit-oriented development wh ... Show More
1h 27m
Oct 23
1038: AI’s Contentious Math Breakthroughs
In Episode #1038, Jon Krohn unpacks the remarkable and remarkably contentious run of mathematical results AI has produced in recent weeks, led by OpenAI’s claim to have cracked part of a million-dollar Millennium Prize problem. He lays out what was actually proved, the three big ... Show More
13m 12s
Nov 2024
The Future of AI: Predictions and Realities
Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode!In this episode, Jaeden Schafer discusses the current challenges and developments in the AI industry, particularly focusing on the limitations faced by major players like OpenA ... Show More
19m 52s
Jan 2024
Why AI Should Be Taught to Know Its Limits
One of AI’s biggest, unsolved problems is what the advanced algorithms should do when they confront a situation they don’t have an answer for. For programs like Chat GPT, that could mean providing a confidently wrong answer, what’s often called a “hallucination”; for others, as w ... Show More
14m 58s
Oct 2024
What Big Tech Isn’t Telling You About AI (Ep. 267)
<p>Are AI giants really building trustworthy systems? A groundbreaking transparency report by Stanford, MIT, and Princeton says no. In this episode, we expose the shocking lack of transparency in AI development and how it impacts bias, safety, and trust in the technology. We’ll b ... Show More
19m 15s
Jan 2024
Careers, Skills, and the Evolution of AI (Ep. 248)
<p>!!WARNING!!</p>
<p>Due to some technical issues the volume is not always constant during the show. I sincerely apologise for any inconvenience
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<p>In this episode, I speak with Richie Cotton, Data Evangelist at DataCamp, as he delves into the d ... Show More
32m 27s
Feb 2025
Industry Roundup #3: The Rise of Reasoning LLMs, OpenAI Operator, Project Stargate, and Gemini’s Struggle for Recognition
Welcome to DataFramed Industry Roundups! In this series of episodes, Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we discuss the rise of reasoning LLMs like DeepSeek R1 and the competition shaping the AI space, OpenAI’s Operator and the ... Show More
29m 46s