🎙️ Check out my new Marc Hoag AI Law Pod, a podcast “hosted” by Google's NotebookLM. Now that NotebookLM allows customization, the AI “hosts” actually interact with me, directly reference the newsletter itself, and deep dive quite a bit beyond the bounds of each issue’s content. If nothing else, it’s a very cool alternative way to enjoy Future Perfect while driving.

🙈 OpenAI says it won’t release a model called Orion this year (TechCrunch)

• OpenAI denies 'Orion' release in 2023: The company confirmed it won’t release the AI model code-named Orion this year, countering recent reports on its roadmap.

• Rumored December launch refuted: The Verge reported Orion’s anticipated launch by December, with Microsoft as one of the first partners to access it, potentially as early as November.

• OpenAI calls report “inaccurate”: While OpenAI addressed The Verge's claims, stating they were incorrect, it declined to provide additional clarification on specifics.

• Orion's tech details emerge: Orion, reportedly the next step after GPT-4o, is said to incorporate synthetic training data from OpenAI's “reasoning” model, o1, designed for different use cases than GPT.

• Dual-model strategy at OpenAI: The company is focusing on developing both GPT models and reasoning models, like o1, to address separate applications in AI development.

• Ambiguity in future plans: OpenAI’s statement leaves room for interpretation, hinting that another model release may still occur this year, though potentially not Orion or at Orion’s anticipated capacity.

🏫 Marin schools prioritize AI literacy ahead of state mandate (Marin IJ)

• Proactive approach to AI education: Marin County educators are advancing AI literacy training, surpassing California's recent Assembly Bill 2876, which mandates AI literacy in K-12 curricula beginning next year.

• Assembly Bill 2876 overview: Signed by Governor Newsom and authored by Assemblyman Marc Berman, AB 2876 requires AI literacy integration into math, science, and social studies, emphasizing responsible and informed AI usage for K-12 students.

• Marin’s advanced AI training: Educators in Marin began AI training last January, with programs that explore both foundational principles and ethical implications of AI. A new training series, “AI for Maximizing Productivity” and “AI for Deeper Learning,” is currently underway.

• Community and educator support: Local parents and educators, like Sam Keller, endorse the county’s initiative, stressing the importance of involving students in curriculum design to foster engagement and leadership in AI literacy.

• Districts’ individual initiatives: Districts like Larkspur-Corte Madera and Reed Union are committing to ongoing AI education, with Larkspur focusing on safe and responsible classroom integration, and Reed Union exploring AI applications and ethical considerations under superintendent Kimberly McGrath's guidance.

• Ethics as a core element: Emphasis on ethics is central, addressing topics like data privacy and algorithmic bias. Marin aims to produce students who are critical thinkers and responsible digital citizens in the AI landscape.

• Student-led initiatives encouraged: Keller advocates for student-led AI initiatives such as peer workshops, hackathons, and collaborative projects, which could establish a thriving culture of AI innovation and leadership in Marin.

• Broader educational context: Drawing inspiration from North Carolina and New Jersey, Keller suggests California can model its AI curriculum to be seamlessly integrated across subjects, enhancing digital literacy in alignment with global educational standards.

💻 Google is reportedly developing a ‘computer-using agent’ AI system (The Verge)

• Project Jarvis overview: Google is reportedly working on an AI system, code-named Project Jarvis, that can carry out tasks for users, like gathering research, purchasing items, and booking flights, according to sources close to the project.

• Task automation via web browser: Jarvis is designed to automate web-based tasks through Chrome, utilizing screenshots, button clicks, and text inputs to complete actions for users. Current reports indicate a brief delay of a few seconds between each action.

• Gemini-powered AI: Project Jarvis will run on an upcoming version of Google’s Gemini AI model, tailored to enable intuitive automation and interactive task management within a browser environment.

• Competitor developments: Google isn’t alone in this space—Microsoft’s Copilot Vision, Apple Intelligence, and Anthropic’s Claude are all working on similar systems, aiming to assist users across applications with screen-aware, task-executing capabilities.

• Limited December preview anticipated: Google may preview Jarvis to select testers in December, though the timeline could shift as the company aims to identify and resolve any technical bugs through limited user feedback.

✨ PowerPrompt™

You are a strategic advisor for an innovative organization aiming to expand globally amidst a challenging economic landscape. Build an AI-augmented decision plan by exploring each step interactively. Follow these instructions to guide the user through a fully developed strategy."

Start by asking the user to name the industry and target regions:

"To begin, tell me which industry you're in and the regions you’re targeting for expansion. This will help customize the strategic objectives and challenges."

Identify three primary strategic objectives based on industry and region:

"Given your industry and region, I’ve identified three key objectives. Please confirm if these align or suggest any modifications:"

Objective 1: (e.g., 'Increase regional brand awareness')

Objective 2: (e.g., 'Establish a resilient supply chain in new regions')

Objective 3: (e.g., 'Localize product offerings for cultural fit')

Dive into each objective interactively with tailored AI solutions:

"For Objective 1, here’s an AI approach that could work. Let’s explore it in detail:

Which tool(s) would you like to consider? Options: GPT-4, Microsoft Copilot, custom sentiment models, etc.
Methodology options for this objective: Would you prefer sentiment analysis, text mining, or data integration from public sources?

Privacy and ethics considerations: Would you like suggestions on addressing specific data privacy or bias risks here?"
Guide the user to test and refine metrics for each objective:
"For Objective 1, here’s a list of measurable KPIs. Select which ones best align with your goals:"

Engagement rates, brand awareness metrics, market response times, etc.

"How frequently would you like AI-generated reports for this objective? Options: daily, weekly, or based on milestones."
Summarize the plan, linking objectives to a cohesive AI deployment strategy:

"Here’s your customized, AI-driven expansion plan. Let me know if you want to adjust any metrics or add a layer of analysis to specific objectives.

I think this one speaks for itself; but let me know if you don’t like such long-form prompts. This one guides users in building a customized, AI-powered strategy for global expansion. Step by step, it helps users identify key objectives, select AI tools, address privacy concerns, and choose measurable KPIs. Designed to be interactive, it encourages active choices and real-time adjustments, creating a tailored decision plan for success in challenging markets. Thoughts?

🧰 AI Tools & Resources

• PricingMaker: Let AI analyze market dynamics to suggest optimal prices for your physical, digital, or SaaS product.

• Writer: Build AI apps and workflows that are fully integrated with the Writer full-stack generative AI platform.

• Loomos: Create stunning onboarding videos from raw screen recordings.

🎉 THAT’S ALL FOR TODAY!

See you next time! 👋

Looking for past newsletters? You can find them all here.