Founder of SuperDataScience, Kirill Eremenko, talks to Jon Krohn about how he found the best tools and approaches to help launch his 8-week AI engineering bootcamp. He breaks down the topics participants cover each week, and he also shares his tips with listeners who might want to start their own tech bootcamp or sign up for SuperDataScience’s September 2025 cohort.


This episode is brought to you by the Dell AI Factory with NVIDIA [http://www.dell.com/superdatascience?utm_source=SuperDataScience&utm_medium=podcast&utm_campaign=DAIFWN] and by ODSC, the Open Data Science Conference [https://odsc.com/]



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/917⁠ [https://www.superdatascience.com/917]⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:

 * 
 * (10:58) Weeks 1-4 of the SuperDataScience bootcamp            
 * 
 * (37:52) How to use AI to drive the bottom line in business                   
 * 
 * (47:50) Weeks 5-8 of the SuperDataScience bootcamp
 * (54:50) How to convert LLMs to agents
 * (1:09:33) Jon’s feedback on the SuperDataSciencebootcamp    

917: 8 Steps to Becoming an AI Engineer, with Kirill Eremenko

GPT-5 has just been released, but with not very much fanfare. In this Five-Minute Friday, Jon Krohn asks if GPT-5 deserves the community’s underwhelmed response to its release. He outlines five features of the model and explains why people might be feeling less than enthusiastic in the broader context of LLM development. Which LLMs are leading the way, and which are still playing the game of catch-up?


Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/916⁠⁠⁠ [https://www.superdatascience.com/916]



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

916: The 5 Key GPT-5 Takeaways

Tech leader, investor, and Generationship cofounder Michelle Yi talks to Jon Krohn about finding ways to trust and secure AI systems, the methods that hackers use to jailbreak code, and what users can do to build their own trustworthy AI systems. Learn all about “red teaming” and how tech teams can handle other key technical terms like data poisoning, prompt stealing, jailbreaking and slop squatting. 



This episode is brought to you by ⁠Trainium2, the latest AI chip from AWS⁠ [https://aws.amazon.com/ai/machine-learning/trainium/] and by the ⁠Dell AI Factory with NVIDIA⁠ [http://www.dell.com/superdatascience?utm_source=SuperDataScience&utm_medium=podcast&utm_campaign=DAIFWN].



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/915 [https://www.superdatascience.com/915]⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:

 * (03:31) What “trustworthy AI” means     

 * (31:15) How to build trustworthy AI systems 

 * (46:55) About Michelle’s “sorry bench”  

 * (48:13) How LLMs help construct causal graphs  

 * (51:45) About Generationship 

915: How to Jailbreak LLMs (and How to Prevent It), with Michelle Yi

In this Five-Minute Friday, Cofounder and CTO of lakeFS Oz Katz talks to Jon Krohn about data warehouses, data lakes, and how companies can handle increasingly complex data infrastructures and formats. Hear about lakeFS’s collaboration with Legofest, lakeFS’s approach to helping users collaborate on data lakes, and how to overcome the challenges of working with multimodal data.


Additional materials: ⁠www.superdatascience.com/914⁠ [https://www.superdatascience.com/914]



This episode is brought to you by the ⁠Dell AI Factory with NVIDIA⁠ [http://www.dell.com/superdatascience?utm_source=SuperDataScience&utm_medium=podcast&utm_campaign=DAIFWN].

914: Data Lakes 101 (and Why They’re Key for AI Models), with Oz Katz

Julien Launay launched Adaptive to give data science teams in business enterprises their “RLOps tooling” to make reinforcement learning easier. Talking to Jon Krohn, Julien says, “Most of our users are data scientists who write Python codes to interface with the system”. Adaptive is also able to work with companies without data science teams, collaborating with partners like Deloitte to add the necessary personnel. Julien is currently working on making his platform more widely available.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/913⁠⁠⁠ [https://www.superdatascience.com/913]



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

913: LLM Pre-Training and Post-Training 101, with Julien Launay

In this episode of In Case You Missed It, we look back on five great interview episodes from July. Hear from Lilith Bat-Leah (Episode 901), Sinan Ozdemir (Episode 903), Sebastian Gehrmann (Episode 905), Zohar Bronfman (Episode 907) and Robert Ness (Episode 909). They’ll tell you why data-centric machine learning is so important across disciplines, starting with law, and how we can use AI benchmarks and “red teaming” to refine our search for the best AI models. 



Additional materials: ⁠⁠⁠⁠www.superdatascience.com/912 [https://www.superdatascience.com/912]



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

912: In Case You Missed It in July 2025 

Reproducibility, Python notebooks, and data science communities: Software developer Akshay Agrawal speaks to Jon Krohn about Marimo, the next-generation computational notebook for Python, how he built and fostered a thriving community around the product, and what makes this notebook so versatile and accessible for users. 



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/911⁠⁠⁠⁠⁠ [https://www.superdatascience.com/911]



This episode is brought to you by ⁠Trainium2, the latest AI chip from AWS ⁠ [https://aws.amazon.com/ai/machine-learning/trainium/]and by the ⁠Dell AI Factory with NVIDIA⁠ [http://www.dell.com/superdatascience?utm_source=SuperDataScience&utm_medium=podcast&utm_campaign=DAIFWN].



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

911: The Future of Python Notebooks is Here, with Marimo’s Dr. Akshay Agrawal

In this Five-Minute Friday, Jon Krohn looks into AI’s disruption of the journalism industry and how it has fundamentally reshaped news production. Multiple news outlets’ suing of ChatGPT over its use of copyrighted materials may have taken the most headlines to date, but this isn’t to say news media is rebuffing AI entirely. On the contrary, several outlets have launched summarization and analysis tools for both internal and external use, such as The New York Times’s Echo and The Washington Post’s Haystacker. This episode looks into the ways major news outlets are utilising AI, and what this means for journalists.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/910⁠⁠ [https://www.superdatascience.com/910]



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

910: AI is Disrupting Journalism: The Good, The Bad and The Opportunity

Researcher at Microsoft Robert Usazuwa Ness talks to Jon Krohn about how to achieve causality in AI with correlation-based learning, the right libraries, and handling statistical inference. When dealing with causal AI, Robert notes how important it is to keep aware of variables in the data that may mislead us and force inaccurate assumptions. Not all variables will be useful. It is essential, then, that any assumptions are grounded in a deeper understanding of how the data were gathered, and not what appears in the dataset. Listen to the episode to hear how you can apply causal AI to your projects.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/907⁠⁠⁠⁠ [https://www.superdatascience.com/909]



This episode is brought to you by Trainium2, the latest AI chip from AWS [https://aws.amazon.com/ai/machine-learning/trainium/]and by the Dell AI Factory with NVIDIA [http://www.dell.com/superdatascience?utm_source=SuperDataScience&utm_medium=podcast&utm_campaign=DAIFWN].



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

909: Causal AI, with Dr. Robert Usazuwa Ness

The moral and ethical implications of letting AI take the wheel in business, as revealed by Anthropic: Jon Krohn looks into Anthropic’s latest research on how to use and deploy LLMs safely, specifically in business environments. The team designed scenarios to test the behavior of AI agents when given a goal and a set of obstacles to reach it. Those obstacles included 1) threats to the AI’s continued operation, and 2) conflict between the AI’s goals and the goals of the company. Hear Jon break down the results of this research in this Five-Minute Friday.


Additional materials: ⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/908⁠ [https://www.superdatascience.com/908]



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

908: AI Agents Blackmail Humans 96% of the Time (Agentic Misalignment)

The Super Data Science podcast with Jon Krohn brings you the latest and most
important machine learning, artificial intelligence, and broader data-world
topics from across both academia and industry. As the quantity of data on our
planet doubles every couple of years and this trend is set to continue for
decades to come, there's an unprecedented opportunity for you to make an
enormous impact in your lifetime. Whether you're curious about getting started
in a data career or you're a deep technical expert, whether you'd like to
understand what A.I. is or you'd like to integrate more data-driven processes
into your business, we have inspiring guests and lighthearted conversation for
you to enjoy. We cover tools, techniques, and implementation tricks across data
collection, databases, analytics, predictive modeling, visualization, software
engineering, real-world applications, and commercialization − everything you
need to crush it with data science.

Jon Krohn

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