Open AI has published a guide for leaders on how to stay ahead in the age of AI The Five Pillars of AI-First Leadership: The guide emphasizes a holistic approach, beginning with a clear vision and extending to responsible implementation. Here are the five core principles: - Align: The first step is to create a unified understanding of AI's role within the company. This involves crafting a clear narrative about why AI adoption is crucial for the future, whether for maintaining a competitive edge, meeting customer expectations, or fostering growth. Leadership must champion this vision to build trust and help employees see how AI aligns with their individual roles and the company's broader goals. - - Activate: To truly embrace AI, organizations must empower their employees with the necessary skills and opportunities. This includes launching structured training programs that are specific to different roles and establishing an internal network of "AI champions" to mentor their peers. The guide also recommends making experimentation a regular practice, for instance, by dedicating time for teams to explore AI tools. - - -Amplify: Success stories should be shared widely to build momentum and encourage broader adoption. OpenAI suggests creating a centralized knowledge hub for all AI-related resources and consistently highlighting impactful projects and practical wins. This helps to break down silos and allows teams to learn from each other's successes. - - Accelerate: To keep pace with the rapid advancements in AI, organizations need to remove internal friction and streamline processes. This means ensuring easy access to necessary tools and data, establishing a clear process for submitting and prioritizing AI project ideas, and creating a cross-functional council to quickly address any roadblocks. - - Govern: Speed and innovation must be balanced with responsibility. The guide advises creating and sharing a straightforward "responsible AI playbook" with practical, easy-to-follow guidelines. This empowers teams to move quickly within established safeguards. Regular reviews of these guidelines are also essential to ensure they remain relevant as technology and regulations evolve.

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Just released by open ai https://academy.openai.com/

This obviously is changing weekly with how fast new updates are coming.. but good to have something to reference to know which models to use for what let us know what models you find best for which tasks!

Here is a good leaderboard to monitor what llm models are doing best at coding. this one does 225 coding tests... https://aider.chat/docs/leaderboards/