Source URL: https://simonwillison.net/2024/Dec/7/ethan-mollick/#atom-everything
Source: Simon Willison’s Weblog
Title: Quoting Ethan Mollick
Feedly Summary: A test of how seriously your firm is taking AI: when o-1 (& the new Gemini) came out this week, were there assigned folks who immediately ran the model through internal, validated, firm-specific benchmarks to see how useful it as? Did you update any plans or goals as a result?
Or do you not have people (including non-technical people) assigned to test the new models? No internal benchmarks? No perspective on how AI will impact your business that you keep up-to-date?
No one is going to be doing this for organizations, you need to do it yourself.
— Ethan Mollick
Tags: ethan-mollick, evals, generative-ai, ai, llms
AI Summary and Description: Yes
Summary: The text emphasizes the necessity for organizations to proactively evaluate new AI models, such as GPT-4 and Gemini, through internal benchmarks. It highlights the importance of having dedicated personnel—both technical and non-technical—to assess AI’s relevance and impact on business strategies.
Detailed Description: The content stresses a critical aspect of integrating AI into business operations—namely, the evaluation and validation of AI models. This involves a systematic approach to ensure that organizations not only adopt new technologies but also measure their effectiveness against specific, firm-wide benchmarks.
Key points include:
– The introduction of new AI models, like Gemini, calls for immediate internal assessments.
– Organizations should have designated individuals responsible for testing and evaluating AI tools.
– It emphasizes a lack of external resources to conduct these evaluations, reinforcing the need for internal capabilities.
– The importance of maintaining updated knowledge on how AI can influence business dynamics.
– A proactive approach could lead to necessary adjustments in corporate strategies based on AI findings.
These insights are critical for professionals in AI, cloud, and infrastructure security, as they reflect the broader need for governance concerning AI implementation, risk management, and compliance with emerging technologies. Organizations that neglect this responsibility may risk falling behind in the competitive landscape shaped by AI advancements.