Artwork

Content provided by Emily M. Bender and Alex Hanna, Emily M. Bender, and Alex Hanna. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Emily M. Bender and Alex Hanna, Emily M. Bender, and Alex Hanna or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Episode 36: About That 'Dangerous Capabilities' Fanfiction (feat. Ali Alkhatib), June 24 2024

1:02:00
 
Share
 

Manage episode 429656756 series 3483641
Content provided by Emily M. Bender and Alex Hanna, Emily M. Bender, and Alex Hanna. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Emily M. Bender and Alex Hanna, Emily M. Bender, and Alex Hanna or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

When is a research paper not a research paper? When a big tech company uses a preprint server as a means to dodge peer review -- in this case, of their wild speculations on the 'dangerous capabilities' of large language models. Ali Alkhatib joins Emily to explain why a recent Google DeepMind document about the hunt for evidence that LLMs might intentionally deceive us was bad science, and yet is still influencing the public conversation about AI.

Ali Alkhatib is a computer scientist and former director of the University of San Francisco’s Center for Applied Data Ethics. His research focuses on human-computer interaction, and why our technological problems are really social – and why we should apply social science lenses to data work, algorithmic justice, and even the errors and reality distortions inherent in AI models.

References:

Google DeepMind paper-like object: Evaluating Frontier Models for Dangerous Capabilities

Fresh AI Hell:

Hacker tool extracts all the data collected by Windows' 'Recall' AI

In NYC, ShotSpotter calls are 87 percent false alarms

"AI" system to make callers sound less angry to call center workers

Anthropic's Claude Sonnet 3.5 evaluated for "graduate level reasoning"

OpenAI's Mira Murati says "AI" will have 'PhD-level' intelligence

OpenAI's Mira Murati also says AI will take some creative jobs, maybe they shouldn't have been there to start out with

You can check out future livestreams at https://twitch.tv/DAIR_Institute.
Subscribe to our newsletter via Buttondown.

Follow us!
Emily

Alex

Music by Toby Menon.
Artwork by Naomi Pleasure-Park.
Production by Christie Taylor.

  continue reading

38 episodes

Artwork
iconShare
 
Manage episode 429656756 series 3483641
Content provided by Emily M. Bender and Alex Hanna, Emily M. Bender, and Alex Hanna. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Emily M. Bender and Alex Hanna, Emily M. Bender, and Alex Hanna or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

When is a research paper not a research paper? When a big tech company uses a preprint server as a means to dodge peer review -- in this case, of their wild speculations on the 'dangerous capabilities' of large language models. Ali Alkhatib joins Emily to explain why a recent Google DeepMind document about the hunt for evidence that LLMs might intentionally deceive us was bad science, and yet is still influencing the public conversation about AI.

Ali Alkhatib is a computer scientist and former director of the University of San Francisco’s Center for Applied Data Ethics. His research focuses on human-computer interaction, and why our technological problems are really social – and why we should apply social science lenses to data work, algorithmic justice, and even the errors and reality distortions inherent in AI models.

References:

Google DeepMind paper-like object: Evaluating Frontier Models for Dangerous Capabilities

Fresh AI Hell:

Hacker tool extracts all the data collected by Windows' 'Recall' AI

In NYC, ShotSpotter calls are 87 percent false alarms

"AI" system to make callers sound less angry to call center workers

Anthropic's Claude Sonnet 3.5 evaluated for "graduate level reasoning"

OpenAI's Mira Murati says "AI" will have 'PhD-level' intelligence

OpenAI's Mira Murati also says AI will take some creative jobs, maybe they shouldn't have been there to start out with

You can check out future livestreams at https://twitch.tv/DAIR_Institute.
Subscribe to our newsletter via Buttondown.

Follow us!
Emily

Alex

Music by Toby Menon.
Artwork by Naomi Pleasure-Park.
Production by Christie Taylor.

  continue reading

38 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide