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Content provided by Thomas Krendl Gilbert and Nathan Lambert. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Thomas Krendl Gilbert and Nathan Lambert 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.
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Show notes are at https://stevelitchfield.com/sshow/chat.html
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What we are getting wrong about AI regulation
Manage episode 429671398 series 3541632
Content provided by Thomas Krendl Gilbert and Nathan Lambert. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Thomas Krendl Gilbert and Nathan Lambert 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.
Tom and Nate catch up on the rapidly evolving (and political) space of AI regulation. We cover CA SB 1047, recent policing of data scraping, presidential appointees, antitrust intention vs. implementation, FLOP thresholds, and everything else touching the future of large ML models.
Nate's internet cut out, so this episode ends a little abruptly. Reach out with any questions to mail at retortai.com
Some links:
- night falls on the cumberlands https://en.wikipedia.org/wiki/Night_Comes_to_the_Cumberlands
- hillbilly elegy https://en.wikipedia.org/wiki/Hillbilly_Elegy
- wired piece on data https://www.wired.com/story/youtube-training-data-apple-nvidia-anthropic/
- nate's recent piece on AI regulation https://www.interconnects.ai/p/sb-1047-and-open-weights
00:00 Intro
01:19 Training Data and the Media
03:43 Norms, Power, and the Limits of Regulation
08:52 OpenAI's Business Model
12:33 Antitrust: The Essential Tool for Governing AI
17:11 Users as Afterthoughts
20:07 Depoliticizing AI
26:14 "Breaking Bad" & the AI Parallel
28:11 The "Little Tech" Agenda
31:03 Reframing the Narrative of Big Tech
32:20 "The Lean Startup" & AI's Uncertainty
32 episodes
Share
Manage episode 429671398 series 3541632
Content provided by Thomas Krendl Gilbert and Nathan Lambert. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Thomas Krendl Gilbert and Nathan Lambert 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.
Tom and Nate catch up on the rapidly evolving (and political) space of AI regulation. We cover CA SB 1047, recent policing of data scraping, presidential appointees, antitrust intention vs. implementation, FLOP thresholds, and everything else touching the future of large ML models.
Nate's internet cut out, so this episode ends a little abruptly. Reach out with any questions to mail at retortai.com
Some links:
- night falls on the cumberlands https://en.wikipedia.org/wiki/Night_Comes_to_the_Cumberlands
- hillbilly elegy https://en.wikipedia.org/wiki/Hillbilly_Elegy
- wired piece on data https://www.wired.com/story/youtube-training-data-apple-nvidia-anthropic/
- nate's recent piece on AI regulation https://www.interconnects.ai/p/sb-1047-and-open-weights
00:00 Intro
01:19 Training Data and the Media
03:43 Norms, Power, and the Limits of Regulation
08:52 OpenAI's Business Model
12:33 Antitrust: The Essential Tool for Governing AI
17:11 Users as Afterthoughts
20:07 Depoliticizing AI
26:14 "Breaking Bad" & the AI Parallel
28:11 The "Little Tech" Agenda
31:03 Reframing the Narrative of Big Tech
32:20 "The Lean Startup" & AI's Uncertainty
32 episodes
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Similar to The Retort AI Podcast
On The Bike Shed, hosts Joël Quenneville and Stephanie Minn discuss development experiences and challenges at thoughtbot with Ruby, Rails, JavaScript, and whatever else is drawing their attention, admiration, or ire this week.
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
1
Defensive Security Podcast - Malware, Hacking, Cyber Security & Infosec
Jerry Bell and Andrew Kalat
Defensive Security is a weekly information security podcast which reviews recent high profile cyber security breaches, data breaches, malware infections and intrusions to identify lessons that we can learn and apply to the organizations we protect.
…
continue reading
Material is a weekly discussion about the Google and Android universe. Your intrepid hosts try to answer the question, “What holds up the digital world?” The answer, so far, is that it’s Google all the way down. Hosted by Andy Ihnatko and Florence Ion.
…
continue reading
Daily update on current cyber security threats
…
continue reading
This feed includes all episodes of Paul's Security Weekly, Enterprise Security Weekly, Business Security Weekly, Application Security Weekly, and Security Weekly News! Your one-stop shop for all things Security Weekly!
…
continue reading
Every Friday and Sunday, Slate’s popular daily news podcast What Next brings you TBD, a clear-eyed look into the future. From fake news to fake meat, algorithms to augmented reality, Lizzie O’Leary is your guide to the tech industry and the world it’s creating for us to live in.
…
continue reading
Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Marc Fennell and a team of people far smarter than him (his words, not ours) take a fun deep dive into how technology is reshaping our lives.
…
continue reading
Monday through Friday, Marketplace demystifies the digital economy in less than 10 minutes. We look past the hype and ask tough questions about an industry that’s constantly changing.
…
continue reading
Embedded is the show for people who love gadgets. Making them, breaking them, and everything in between. Weekly interviews with engineers, educators, and enthusiasts. Find the show, blog, and more at embedded.fm.
…
continue reading
Player FM - Podcast App
Go offline with the Player FM app!
Go offline with the Player FM app!
