Why LLMs Fail (and why AI alignment is needed)
Michelle Robbins
- Part 1The New Sp[AI]ce Race
- Part 2 Why LLMs Fail (and why AI alignment is needed)
- Part 1The New Sp[AI]ce Race
- Part 2 Why LLMs Fail (and why AI alignment is needed)
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Part 1The New Sp[AI]ce Race
The AI race is transforming search engine strategies. Michelle Robbins, Manager of Strategic Initiatives and Intelligence at LinkedIn, shares insights from her decade of tracking AI's evolution in search. She examines Google's cautious approach to AI integration, the challenges of monetizing AI-driven search experiences, and why companies must diversify beyond search engines to build sustainable audience acquisition strategies.
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Part 2Why LLMs Fail (and why AI alignment is needed)
LLMs fail because they're prediction machines, not fact machines. Michelle Robbins, Manager of Strategic Initiatives and Intelligence at LinkedIn, explains why AI models produce inconsistent responses and require critical evaluation. She advocates treating LLMs as thought partners rather than absolute authorities, emphasizing the critical importance of AI alignment to prevent harmful outputs and ensure optimal human outcomes as we progress toward artificial general intelligence.
