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3×58: Large Langridge Model

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Content provided by Bad Voltage. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bad Voltage 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://staging.podcastplayer.com/legal.

Jeremy Garcia, Jono Bacon, and Stuart Langridge present Bad Voltage, in which there is unsceptical intensity, we are all eaten by a T-1000, and we have collected a list of concerns about Large Language Model-based AI, which we’re going to dive into!

  • [00:00:00] Introduction
  • [00:04:30] The “free software” concern: it normalises inhaling information for free and then renting out access to it. Upcoming EU regulation requires LLM creators to declare copyrighted material used in training corpora
  • [00:09:30] The automation one: puts lots of mid-level workers people out of a job, with zero provision for what should happen to those people
  • [00:25:25] The costlessness one: if it’s free (or at least easy) to generate text (and images and sound and so on), it becomes easy to flood places with it, which leads to finding hotels online being even more difficult, more fake news sites, students submitting LLM-written essays, etc
  • [00:30:40] The inaccuracy one: LLMs “hallucinate”, meaning that they make up lies and present it with as much confidence as actual information, so it’s very hard to tell the difference, which is problematic when it’s relied upon and can be downright defamatory (as in the case of Jonathan Turley, law professor, on an LLM-generated list of “lecturers who have sexually harassed their students” which he didn’t)
  • [00:33:35] The magnification of existing bias one: generated text embeds existing biases
  • [00:53:30] The creativity one: where does the next generation of music and art and writing come from if this generation is written largely by LLMs?

Also, we’re now on Mastodon! @[email protected]!

Come chat with us and the community in our Slack channel via https://join.slack.com/t/badvoltage/shared_invite/zt-1porzolgy-eNrK6wREoVIINTbLi_kbsg!

https://community.badvoltage.org/

News music: Long Live Blind Joe by Robbero, used with attribution.

Thank you to Marius Quabeck and NerdZoom Media for being our audio producers!

  continue reading

103 episodes

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3×58: Large Langridge Model

Bad Voltage

29 subscribers

published

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Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on March 06, 2025 11:26 (2M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 363757386 series 2262205
Content provided by Bad Voltage. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bad Voltage 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://staging.podcastplayer.com/legal.

Jeremy Garcia, Jono Bacon, and Stuart Langridge present Bad Voltage, in which there is unsceptical intensity, we are all eaten by a T-1000, and we have collected a list of concerns about Large Language Model-based AI, which we’re going to dive into!

  • [00:00:00] Introduction
  • [00:04:30] The “free software” concern: it normalises inhaling information for free and then renting out access to it. Upcoming EU regulation requires LLM creators to declare copyrighted material used in training corpora
  • [00:09:30] The automation one: puts lots of mid-level workers people out of a job, with zero provision for what should happen to those people
  • [00:25:25] The costlessness one: if it’s free (or at least easy) to generate text (and images and sound and so on), it becomes easy to flood places with it, which leads to finding hotels online being even more difficult, more fake news sites, students submitting LLM-written essays, etc
  • [00:30:40] The inaccuracy one: LLMs “hallucinate”, meaning that they make up lies and present it with as much confidence as actual information, so it’s very hard to tell the difference, which is problematic when it’s relied upon and can be downright defamatory (as in the case of Jonathan Turley, law professor, on an LLM-generated list of “lecturers who have sexually harassed their students” which he didn’t)
  • [00:33:35] The magnification of existing bias one: generated text embeds existing biases
  • [00:53:30] The creativity one: where does the next generation of music and art and writing come from if this generation is written largely by LLMs?

Also, we’re now on Mastodon! @[email protected]!

Come chat with us and the community in our Slack channel via https://join.slack.com/t/badvoltage/shared_invite/zt-1porzolgy-eNrK6wREoVIINTbLi_kbsg!

https://community.badvoltage.org/

News music: Long Live Blind Joe by Robbero, used with attribution.

Thank you to Marius Quabeck and NerdZoom Media for being our audio producers!

  continue reading

103 episodes

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