This week, we are joined by Joshua Broyde, PhD and Principal Solutions Architect at AI21 Labs. Broyde discusses AI21 Labs' work in developing foundation models and AI systems for enterprise use, with a focus on their latest model, Jamba-Instruct.

Josh explains the concept of foundation models and how they differ from traditional AI models. He highlights AI21 Labs' work with financial institutions on use cases like term sheet generation and financial document Q&A. The conversation explores the challenges and benefits of training models on company-specific data versus using retrieval augmented generation (RAG) techniques.

The interview delves into the development of Jamba Instruct, a hybrid model combining Mamba and Transformer architectures to achieve both speed and accuracy. Broyde discusses the model's performance, industry reaction, and potential applications.

Safety and security considerations for AI models are addressed, with Broyde explaining AI21 Labs' approach to implementing guardrails and secure deployment options for regulated industries. The discussion also covers the balance between model quality and cost, and the trend towards matching specific models to appropriate tasks.

Josh also shares his thoughts on future developments in the field, including the potential for agent-based approaches and increased focus on cost optimization in AI workflows.

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Twitter: ⁠⁠⁠⁠⁠@gebauerm⁠⁠⁠⁠⁠, or ⁠⁠⁠⁠⁠@glambert⁠⁠⁠⁠⁠

Email: geekinreviewpodcast@gmail.com

Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠

Transcript on 3 Geeks

In this episode of The Geek in Review, hosts Marlene Gebauer and Greg Lambert sit down for a one-on-one conversation to catch up on their recent vacations and discuss some of the latest developments in the legal industry. Marlene shares her experience in Hawaii, where she enjoyed beautiful beaches, a nature preserve, and delicious local cuisine with her family. Greg, on the other hand, talks about his trip to South Africa, where he spent time in Kruger National Park observing wildlife and learning about the challenges of rhino poaching.

The conversation then shifts to the recent lawsuits filed by The New York Times, the Center for Investigative Reporting, and Mother Jones against OpenAI and Microsoft for using their copyrighted material to train AI systems. The hosts discuss the implications of these lawsuits and draw parallels to the music industry's past struggles with Napster and the eventual rise of streaming services.

Marlene introduces a new AI-powered comic maker she discovered, which allows users to generate comic strips based on their own images and descriptions. Despite some humorous mishaps with her own generated character, she sees potential in the tool for creating engaging content. Greg shares his experience with Hedra, an AI tool that animates still pictures to create talking head videos, and the two discuss the possibility of creating a fully AI-generated podcast episode.

The hosts also explore practical applications of AI, such as AI Excel Bot, which generates Excel formulas based on plain text instructions and explains existing formulas in simple terms. They discuss how this tool could be beneficial for professionals who frequently work with complex spreadsheets.

Lastly, Greg highlights an episode of the Technically Legal podcast featuring Brandon Epstein, Chief Forensic Officer at Medex, who discusses the challenges of detecting deep fakes and the digital fingerprints left by various recording devices. The conversation emphasizes the importance of authenticating videos, especially in the news media, and the ongoing battle between deep fake creators and forensic experts.

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Twitter: ⁠⁠⁠⁠⁠@gebauerm⁠⁠⁠⁠⁠, or ⁠⁠⁠⁠⁠@glambert⁠⁠⁠⁠⁠

Email: geekinreviewpodcast@gmail.com

Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠

Transcript on 3 Geeks

Since Greg Lambert is on vacation, we wanted to share an episode of Future Ready Business podcast, which Greg also produces. Art Cavazos and Courtney White from Jackson Walker, LLP, interview Neil Chilson, Head of AI Policy at the Abundance Institute, and Travis Wussow, regulatory and governmental affairs lawyer Partner at JW. Neil and Travis had worked together at the Charles Koch Institute and are both heavily involved in advising governmental agencies and policy makers on the topic of AI.

Neil Chilson and Travis Wussow both emphasize the complexity of regulating AI due to its broad applications and the difficulty in defining it. They argue that most AI applications fall into areas that already have existing regulatory frameworks, such as healthcare, intellectual property, and transportation. Chilson suggests that policymakers should focus on identifying specific harms and addressing gaps in current regulations rather than creating entirely new frameworks for AI.

Regarding current AI policy, Wussow notes that litigation is already underway, particularly in areas like copyright infringement. He believes that proactive policymaking will likely wait until these legal disputes are resolved. Chilson highlights that there is significant activity at the federal level, with the White House issuing a comprehensive executive order on AI, and at the state level, with numerous AI-related bills being proposed.

On the topic of AI's potential impact on elections and misinformation, Chilson expresses less concern about AI-generated content itself and more about the distribution networks that spread misinformation. He emphasizes the importance of maintaining trust in the electoral system and suggests that tracking and analyzing actual instances of AI use in elections is crucial for understanding its real impact.

Looking to the future, both experts stress the importance of the United States maintaining its leadership in AI development. They argue that this leadership is essential for embedding American values into AI systems and preventing other countries, such as China, from dominating the field with potentially restrictive approaches. Chilson also highlights the potential for AI to revolutionize healthcare, emphasizing the need to adapt regulatory frameworks, particularly in areas like FDA approval processes, to allow for the benefits of AI-driven personalized medicine while ensuring safety and efficacy.

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Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠