Where can I listen to this podcast?

This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

No, this podcast does not typically feature guests.

Latest in AI research

Claim This Podcast

by Fly for Points

23 episodes

Updated Weekly

Accepts GuestsHas Sponsors

Podcast Overview

Dive into the cutting-edge world of artificial intelligence with "Latest in AI Research," your go-to podcast for the most recent advancements, breakthroughs, and insights from the forefront of AI innovation. Each episode explores the latest research papers and deep dives into the technologies that are shaping the future. From natural language processing and computer vision to ethical considerations and the impact of AI on society, we break down complex topics into engaging and accessible discussions. Whether you're an AI enthusiast, a tech professional, or simply curious about the future of t

Language

🇺🇲

Publishing Since

9/17/2024

Visit Website View on Apple Podcasts RSS Feed

1 verified contact email on file for Latest in AI research

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

See contact details

Recent Episodes

October 10, 2024

A Society of AI Agents

In this podcast, the hosts discuss a research paper that explores how large language models (LLMs), like the ones used in chatbots, behave when placed in a simulated prison scenario. The researchers built a custom tool, zAImbardo, to simulate interactions between a guard and a prisoner, focusing on two key behaviors: persuasion, where the prisoner tries to convince the guard to allow extra privileges (like more yard time or an escape), and anti-social behavior, such as being toxic or violent. The study found that while some LLMs struggle to stay in character or hold meaningful conversations, others show distinct patterns of persuasion and anti-social actions. It also reveals that the personality of the guard (another LLM) can greatly influence whether the prisoner succeeds in persuading them or if harmful behaviors emerge, pointing to the potential dangers of LLMs in power-based interactions without human oversight. Original paper: Campedelli, G. M., Penzo, N., Stefan, M., Dessì, R., Guerini, M., Lepri, B., & Staiano, J. (2024). I want to break free! Anti-social behavior and persuasion ability of LLMs in multi-agent settings with social hierarchy. arXiv. <a href="https://arxiv.org/abs/2410.07109" target="_blank" rel="ugc noopener noreferrer">https://arxiv.org/abs/2410.07109</a>

October 9, 2024

Making AI safer

This podcast episode discusses a research paper focused on making large language models (LLMs) safer and better aligned with human values. The authors introduce a new technique called DATA ADVISOR, which helps LLMs create safer and more reliable data by following guiding principles. DATA ADVISOR works by continuously reviewing the data generated by the model, spotting gaps or issues, and suggesting improvements for the next round of data creation. The study shows that this method makes LLMs safer without reducing their overall effectiveness, and it performs better than other current approaches for generating safer data. Original paper: Wang, F., Mehrabi, N., Goyal, P., Gupta, R., Chang, K.-W., & Galstyan, A. (2024). Data Advisor: Dynamic data curation for safety alignment of large language models. arXiv. <a href="https://arxiv.org/abs/2410.05269" target="_blank" rel="ugc noopener noreferrer">https://arxiv.org/abs/2410.05269</a>

October 7, 2024

Altering Body Shape with AI

In this episode, we dive into the fascinating world of BodyShapeGPT, a breakthrough approach that turns simple text into realistic 3D human avatars. By using the power of LLaMA-3, a fine-tuned large language model, researchers have developed a system that can accurately shape a virtual body based on descriptive language. We'll explore how a unique dataset and custom algorithms make it all possible, and why this could revolutionize everything from gaming to virtual reality. Tune in to discover how technology is bridging the gap between words and virtual worlds! Original paper: Árbol, B. R., & Casas, D. (2024). BodyShapeGPT: SMPL Body Shape Manipulation with LLMs. <a href="https://arxiv.org/abs/2410.03556" target="_blank" rel="ugc noopener noreferrer">https://arxiv.org/abs/2410.03556</a>

23 total episodes available

Deep-dive analytics for Latest in AI research

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Latest in AI research?: Dive into the cutting-edge world of artificial intelligence with "Latest in AI Research," your go-to podcast for the most recent advancements, breakthroughs, and insights from the forefront of AI innovation. Each episode explores the latest research papers and deep dives into the technologies that are shaping the future.

From natural language processing and computer vision to ethical considerations and the impact of AI on society, we break down complex topics into engaging and accessible discussions. Whether you're an AI enthusiast, a tech professional, or simply curious about the future of t
How often does this podcast release new episodes?: This podcast updates weekly.
Where can I listen to this podcast?: This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Does this podcast accept guests?: No, this podcast does not typically feature guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.