AI tools won’t eliminate but elevate data scientists, says Marc Dupuis. The CEO of fabi.ai talks to Jon Krohn about the new wave of AI-driven platforms that integrate workflows within popular work tools like Slack and email, and how building AI-first products means widening access to all ability levels.  



This episode is brought to you by the https://aws.amazon.com/ai/machine-learning/trainium/Gurobi⁠⁠⁠⁠ [http://gurobi.com/learn], by https://aws.amazon.com/ai/machine-learning/trainium/⁠⁠Dell⁠⁠ [http://www.dell.com/dellproaistudio] and by ⁠⁠Intel. [https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand]



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/937 [https://www.superdatascience.com/937]



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



In this episode you will learn:

 * (09:31) Will fabi.ai outshine data science practitioners     
 * (20:40) Resolving workflows with fabi.ai                            
 * (24:08) Creating AI agents with fabi.ai                                   
 * (45:23) How to avoid ‘gaming’ targets 

937: How to Design AI-First Products, with Marc Dupuis

How much power – and risk – do we carry around with us in our pockets? A Reuters investigation about how easily LLMs can be utilized for online phishing scams is the subject of this week’s Five-Minute Friday with Jon Krohn. By asking six of the most popular LLMs (Grok, ChatGPT, Meta AI, Claude, DeepSeek and Gemini) to generate phishing emails specifically targeting elderly people, Reuters found the safety sometimes severely lacking in the models. Listen to the episode to hear Jon quantify this problem with real-world examples, why mere content warnings in LLM models don’t work, and the troubling results of the phishing requests.


Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/936 [https://www.superdatascience.com/936]⁠⁠⁠⁠⁠⁠⁠⁠⁠



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

936: LLMs Are Delighted to Help Phishing Scams

Jon Krohn speaks to researcher, broadcaster and author Stephanie Hare about how the Hippocratic Oath might apply to artificial intelligence, and a guiding ethos for pushing innovation while protecting users from harm. A code of conduct, she says, could be one approach to ensuring that people are using technology more mindfully and ethically, as well as an opportunity for users to feel that they belong to a wider, global community. Although she sympathizes with people concerned by overregulation undermining innovation, Stephanie also notes that we expect certain standards to be met elsewhere, such as vehicle and drug safety, as well as fair journalistic practices. As Stephanie explains, we need to find a realistic middle ground between innovation and regulation.


This episode is brought to you by the https://aws.amazon.com/ai/machine-learning/trainium/⁠⁠Dell⁠⁠ [http://www.dell.com/dellproaistudio], by ⁠⁠Intel⁠⁠ [https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand], by Fabi [https://www.fabi.ai/] and by Gurobi⁠⁠⁠ [http://gurobi.com/learn].



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/935⁠⁠ [https://www.superdatascience.com/935]



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



In this episode you will learn:

 * (01:23) What ‘technology ethics’ is               
 * (14:46) Developing a Hippocratic Oath for tech 
 * (42:32) How to protect against sensationalism          
 * (53:38) How to maintain a balance of growth and infrastructure

935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare

With the number of jobs dramatically slowing in the last year, many question if this decline is down to companies turning to AI for completing entry-level tasks in particular. Research published earlier this month by Yale University shows no major difference in the types of roles and tasks in so-called `white-collar jobs` since late 2022, an auspicious date that coincides with the launch of ChatGPT. In this week‘s Five-Minute Friday, host Jon Krohn discusses if and when AI will undercut junior-level jobs, particularly in the US.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/934⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.superdatascience.com/934]



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

934: Is AI Replacing Junior Workers?

Sheamus McGovern, CEO of Open Data Science, takes Jon Krohn and his listeners on a journey to launching his popular data science and AI conference, now in its tenth year, as well as the great shifts to the fields that he has seen on the way. For Seamus, the growth of his Open Data Science Conference has shown him that an AI engineer is just the beginning of several roles that will emerge from the industry. He asks Jon to consider the breadth of tasks demanded of today’s engineers, from data profiling and transformation to feature engineering, hyper-parameter tuning, and model deployments. Just as the AI engineer emerged from the data scientist role, Seamus expects the industry to respond to the broadening range of projects and tools with new, niche, and dynamic job roles. 


This episode is brought to you by the Trainium2, the latest AI chip from AWS [https://aws.amazon.com/ai/machine-learning/trainium/], by Gurobi⁠⁠ [http://gurobi.com/learn], by ⁠Dell⁠ [http://www.dell.com/dellproaistudio] and by ⁠Intel⁠ [https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand].



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/933⁠ [https://www.superdatascience.com/933]



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



In this episode you will learn:

 * (02:50) Why Seamus started ODSC
 * (18:27) The differences in AI engineers and data scientists     
 * (24:20) How to keep up with AI’s rapid pace
 * (33:51) How people hire for AI orchestration 
 * (46:26) How companies can get team skillsets right   

933: Future-Proofing Your Career in the AI Era, feat. Sheamus McGovern

Larissa Schneider speaks to Jon Krohn in this Feature Friday about finding the right time to invest in AI solutions, and when it’s better to build them yourself. She discusses her work leading global strategy and operations at Unframe, and how they raised $50 million in venture capital since the company’s launch in March 2025.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/932⁠⁠⁠ [https://www.superdatascience.com/932]⁠



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

932: Should You Build or Buy Your AI Solution? With Larissa Schneider

AI predictions, and how to act on them: Data Science Strategist at Gurobi, Jerry Yurchisin, speaks to Jon Krohn about how mathematical optimization helps enterprises automate decisions for business success and where to find the resources to make it happen.  


This episode is brought to you by the ⁠ODSC, the Open Data Science Conference [http://odsc.ai/], by Fabi [http://fabi.ai/], by ⁠Dell⁠ [http://www.dell.com/dellproaistudio], and by ⁠Intel⁠ [https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand].



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/931⁠⁠⁠ [https://www.superdatascience.com/931]⁠



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



In this episode you will learn:

 * (02:34) What mathematical optimization is
 * (13:58) How to get started with mathematical optimization
 * (45:56) Gurobi’s use cases
 * (56:29) Quantum computing and mathematical optimization  

931: Boost Your Profits with Mathematical Optimization, feat. Jerry Yurchisin

Jon Krohn’s highlights from this month of interviews focus on ways to future-proof your career, looking at the hardware that will get you the most mileage, the emerging roles that are well worth a look, and the developments in AI that will endure in a field constantly testing the durability of its own breakthroughs.


Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/930⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.superdatascience.com/930]



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

 930: In Case You Missed It in September 2025  

Breaking news: Jon Krohn welcomes Adrian Kosowski to the show to talk about the groundbreaking research happening at Pathway. Adrian and his team demonstrate how they have brought attention in AI closer to the way the brain functions, creating, in essence, a “massively parallel system of [artificial] neurons” that communicate with one another and exhibit properties similar to natural neurons. The goal is to move beyond the current limitations of transformers, where reasoning can be generalized across more complex and extended reasoning patterns, approximating a more human-like approach to problem-solving.


This episode is brought to you by the Trainium2, the latest AI chip from AWS [https://aws.amazon.com/ai/machine-learning/trainium/], by ⁠Dell⁠ [http://www.dell.com/dellproaistudio], by ⁠Intel⁠ [https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand], by and ⁠Gurobi⁠ [http://gurobi.com/learn].



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/929⁠⁠ [https://www.superdatascience.com/929]⁠



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



In this episode you will learn:

 * (01:27) Pathway’s ground-breaking new biologically inspired architecture
 * (20:40) Limitless context windows
 * (34:39) BDH architecture as positive space
 * (53:11) Building multilingual models
 * (1:01:07) How to access the BDH architecture

 929: Dragon Hatchling: The Missing Link Between Transformers and the Brain, with Adrian Kosowski

Prompt injections, malicious code, and AI agents: In this week’s Five-Minute Friday, Jon Krohn looks into the current security weaknesses found in AI systems. A structural vulnerability that The Economist dubs a “lethal trifecta” could cause havoc for AI users, unless we take the necessary steps to contain our systems. 


Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/928⁠⁠⁠⁠⁠⁠⁠ [https://www.superdatascience.com/928]



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

928: The “Lethal Trifecta”: Can AI Agents Ever Be Safe?

The Super Data Science podcast with Jon Krohn brings you the latest and most
important machine learning, artificial intelligence, and broader data-world
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