Today we’re joined by Nicholas Carlini, a research scientist at Google Brain. Nicholas works at the intersection of machine learning and computer security, and his recent paper “Extracting Training Data from LLMs” has generated quite a buzz within the ML community. In our conversation, we discuss the current state of adversarial machine learning research, th ... Show More
Nov 10
Canva Is Tackling AI Design’s Most Frustrating Problem with Stefano Corazza- #784
In this episode, Stefano Corazza, head of AI research at Canva, joins us to explore how his team is building custom models and agents around iterative design workflows. We discuss the tradeoffs between training models from scratch and adapting open weights models, and how proprie ... Show More
57m 30s
Nov 3
Can AI Invent or Just Help Scientists Work Faster? with Richard Socher - #783
AI can help scientists write code, analyze data, and draft papers. But can it generate the ideas that lead to new discoveries? Richard Socher, former chief scientist at Salesforce, founder of You.com, and co-founder of Recursive, joins us to explore the move from AI assisting res ... Show More
48m 44s
Oct 28
The Brutal Reality of Building Agentic Products Today with Daniel Jeffries - #782
AI agents are becoming accessible to everyone, raising the bar for developers building the next generation of agent products. When capable, general-purpose agents are available out of the box, differentiation increasingly comes down to the architectural decisions and specialized ... Show More
54m 1s
Jun 2023
Managing machine learning risks. [Research Saturday]
Our guest, Johannes Ullrich from SANS Institute, joins Dave to discuss their research on "Machine Learning Risks: Attacks Against Apache NiFi." Using their honeypot network, researchers were able to collect some interesting data about a threat actor who is currently going after e ... Show More
18m 34s
Dec 2017
Mercedes Benz Machine Learning Research
<p class="p1"><span class="s1">This episode features an interview with Rigel Smiroldo recorded at NIPS 2017 in Long Beach California.<span class="Apple-converted-space"> </span> We discuss data privacy, machine learning use cases, model deployment, and end-to-end machine learning ... Show More
27m 5s
Sep 2024
20VC: OpenAI's Newest Board Member, Zico Colter on The Biggest Bottlenecks to the Performance of Foundation Models | The Biggest Questions and Concerns in AI Safety | How to Regulate an AI-Centric World
<p><!-- wp:paragraph --></p> <p>Zico Colter is a Professor and the Director of the Machine Learning Department at Carnegie Mellon University. His research spans several topics in AI and machine learning, including work in AI safety and robustness, LLM security, the impact of dat ... Show More
1 h
Jan 2025
Crypto client or cyber trap? [Research Saturday]
Karlo Zanki, Reverse Engineer at ReversingLabs, discussing their work on "Malicious PyPI crypto pay package aiocpa implants infostealer code." ReversingLabs' machine learning-based threat hunting system identified a malicious PyPI package, aiocpa, designed to exfiltrate cryptocur ... Show More
21m 2s