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IRL: Online Life is Real Life
With AIs Wide Open
Oct 10, 2023
The podcast discusses the risks and rewards of open sourcing large language models. They cover topics such as the potential harms of LLMs, downsizing responsible AI teams, auditing biased and harmful content, and prioritizing privacy and democratizing AI development.
22:01
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Quick takeaways
- Large language models (LLMs) pose risks such as generating disinformation and hate speech, impacting marginalized groups disproportionately.
- Openness in LLMs is crucial for independent audits of data sets, but a balance is needed to prevent misuse and dissemination of problematic applications.
Deep dives
Risks and Rewards of Large Language Models
Large language models (LLMs) like ChachiPT and LAMA have shown great potential, but they come with risks. LLMs can be used to generate disinformation and hate speech on a large scale, posing a threat to the civic fabric of a country. Concerns are raised about the lack of understanding of LLM capabilities and the potential for misuse by intelligence agencies. The risks of exclusion and discrimination are also highlighted, as LLMs may disproportionately affect marginalized groups. The rewards of LLMs include their application in video games, virtual assistants, and increasing productivity in various industries. However, biases in LLMs can lead to unfair outcomes, like racial bias in loan evaluations by banks. The rush to develop LLMs and downsizing of responsible AI teams are causing concerns in the industry.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode