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Challenging Beliefs about Large Language Models
They discuss a paper that challenges beliefs about the capabilities of large language models and question the extrapolation of small examples to larger systems. They also debate the definition of emergence and discuss the potential for superhuman capabilities in AI systems.
In this episode, Nathan and Erik discuss research out of Google Deepmind suggesting LLMs, Hemant Teneja’s responsible VC commitments, and why now is not the time for an ideological war on AI regulation. If you need an ecommerce platform, check out our sponsor Shopify: https://shopify.com/cognitive for a $1/month trial period.
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Every week investor and writer of the popular newsletter The Diff, Byrne Hobart, and co-host Erik Torenberg discuss today’s major inflection points in technology, business, and markets – and help listeners build a diversified portfolio of trends and ideas for the future.
Subscribe to “The Riff” with Byrne Hobart and Erik Torenberg: https://link.chtbl.com/theriff
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@labenz (Nathan)
@eriktorenberg (Erik)
@CogRev_Podcast
TIMESTAMPS:
(00:00:00) - Opening discussion of recent viral tweet claiming LLMs can't generalize
(00:03:27) - Waymo Safety Research
(00:10:12) - Response to Google Deepmind’s research claiming LLMs can’t generalize
(00:15:08) - Sponsors: Shopify | Omneky
(00:21:38) - Reproduction of the DeepMind research showing noise allows generalization
(00:26:02) - Helen of Transforrmers
(00:30:15) - Sponsors: Oracle | Netsuite
(00:32:36) - Continuation of Google Deepmind discussion
(00:42:47) - “The AI Executive Order will only continue to look more foolish from here”
(00:44:09) - The AI Scout mindset
(00:45:22) - Few humans can extrapolate beyond their training data
(00:48:45) - When does GPT-4 deceive its user?
(00:49:58) - Voluntary Responsible AI Commitments from VCs
(00:54:00) - Analysis of the commitments as basic common sense practices
(00:56:30) - No need for an ideological war
(00:57:00) - Discussion of critical reactions framing the commitments as capitulation
(01:00:00) - Concerns about the voluntary commitments enabling harmful regulation
(01:03:00) - Rebuttal that self-regulation can avoid heavy handed regulation
(01:08:00) - Self driving cars: the invisible lives you can save
(01:11:00) - Mysticism when it comes to AI
(01:12:03) - Suggestion that product liability law could address concerns
(01:15:00) - Challenge to defend rejecting product liability for AI systems
This show is produced by Turpentine: a network of podcasts, newsletters, and more, covering technology, business, and culture — all from the perspective of industry insiders and experts. We’re launching new shows every week, and we’re looking for industry-leading sponsors — if you think that might be you and your company, email us at erik@turpentine.co.
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Listen to the best highlights from the podcasts you love and dive into the full episode