Big Ideas 2024: AI Interpretability: From Black Box to Clear Box with Anjney Midha

ℹ️ EPISODE INFO

Released

December 23, 2023

Duration

22m

Channel

a16z

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

Anjney Midha, General Partner at a16z, believes that mechanistic interpretability (a fancy term for "reverse engineering" AI models) will take center stage in 2024. In this discussion, we move beyond the black box and explore pivotal questions: Why do AI models make specific statements? What influences the success of certain prompts? Most crucially, how can we control these models in real-world scenarios? Topics Covered: 00:00 - Big Ideas in Tech 2024 01:39: AI Interpretability: From Black Box to Clear Box 02:21: What do we and don’t understand about LLM black boxes and interpretability 04:23 - Research in interpretability 06:43 - Features represented in the outputs from LLMs 08:16 - Unlocks in interpretability 11:49 - The engineering challenges 14:10 - Scaling mechanistic interpretability research 17:27 - A new focus on explainability Resources: View all 40+ big ideas: https://a16z.com/bigideas2024 Find Anish on Twitter: https://twitter.com/anjneymidha Stay Updated: Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow our host: https://twitter.com/stephsmithio Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

🎤 SPEAKERS

• Steph Smith

  host

  Host/interviewer for the a16z Big Ideas 2024 segment.

• Anjney Midha

  guest

  General partner at a16z speaking about AI interpretability/mechanistic interpretability.

🧾 EPISODE SUMMARY

In this episode of a16z, featuring Steph Smith and Anjney Midha, Big Ideas 2024: AI Interpretability: From Black Box to Clear Box with Anjney Midha explores aI interpretability shifts from research to scalable engineering for control Interpretability is framed as “reverse engineering” AI models so practitioners can answer why models produce certain outputs and how to control them.

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