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Microsoft and OpenAI launch voice models
ALSO: How to automate meeting prep with ChatGPT

Welcome back, Superhuman. Claude maker Anthropic is rolling out a new policy that will let the company use customer chats to train its AI models, unless users choose to opt out through their privacy settings in the app.
Also Today: Microsoft and xAI’s new models, learn how to automate meeting prep with ChatGPT, and get the latest prompts, headlines, and trending social posts.
TODAY IN AI
1. Microsoft enters the arena with its first AI voice models: The MAI-Voice-1 model is already powering Copilot’s voice features (generating a minute of audio in a second), while the MAI-1-preview model is still being tested by users. The move signals the company’s growing independence from OpenAI, giving it more control over its AI stack and the flexibility to innovate on its own terms. You can listen to and generate voice demos from the new model here.
2. xAI’s new model makes AI coding easy for developers: The company is betting that its new Grok Code Fast 1 model can win over developers with its speed and affordability. Coming in at $0.20 per million input tokens and $1.50 per million output tokens, the model is designed to handle Python, Java, and C++ with processing speeds of up to 160 tokens per second.
3. Higgsfield AI’s mini apps make content creation fun and accessible to users: The startup launched a series of mini apps that let users create different types of content in one click. For example, users can create commercials and effects in a few seconds without needing any editing or technical skills. The platform comes with 2,000+ apps powered by Google’s new ‘Nano banana’ image model. You can try it out here.
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FROM THE FRONTIER
OpenAI brings conversational AI to life with gpt-realtime and Realtime API
After months in beta, OpenAI is bringing out its advanced gpt-realtime voice model and Realtime API that can shift emotions, change tones, and even switch languages mid-sentence.
More than just words. Unlike older setups that stitched together separate models for speech and text, gpt-realtime runs everything through a single model, which reduces lag and improves flow. The API also comes with MCP server support, image input, and SIP phone calling support, which gives developers more tools to build voice agents that sound natural and respond quickly.
Some early use cases include a nutrition and fitness coaching app that uses the API to enable voice conversations with its AI coach, and a language learning app that leverages the API to enable a role-play feature for users to practice conversations.
You can learn more about the pricing and technical details of the Realtime API here.
THE AI ACADEMY
How to automate meeting prep with ChatGPT

Go to ChatGPT and sign up.
Click your ChatGPT profile → Settings → Connectors.
Connect Gmail, Google Calendar, and Google Drive (requires Plus/Pro).
This lets ChatGPT pull context from your email, schedule, and files.
Enter your prompt to automate your meetings and press enter.
5 use cases:
Meeting Prep:
Prompt: Prep me for my next meeting: give me context, agenda items, recent project updates, and link the most relevant Drive files.
Meeting Brief:
Prompt: For my 5PM meeting tomorrow, create a meeting brief with: attendee bios, project context, related email threads, and suggested discussion points.
Quick Notes:
Prompt: What’s the context of my next meeting, who’s attending, and what should I review beforehand?
Follow-up:
Prompt: Analyze my last three emails with [Attendee Name], summarize key topics, and suggest talking points for our upcoming meeting.
Automate Daily Meetings:
Prompt: Create a daily 10AM task to prep all my meetings for the day. Include attendee backgrounds, email history, related Drive docs, and suggested agenda items.
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IN THE KNOW
What’s trending on socials and headlines today

🖼️ AI face-off: A user compared the AI image editing features on Apple, Galaxy, and Xiaomi phones. The results were surprising.
🍌 Banana Power: Higgsfield’s Swap-to-Video lets you change faces in any video. One user shared some interesting examples showing what the feature can do.
🏢 Civic Sync: An AI-powered dashboard went live in San Francisco, letting citizens track government entities, spending, and news in real-time.
Meta is reportedly gearing up to launch Llama 4.X by the end of the year. The updated model will attempt to address bugs and revive interest in Meta’s open-source models after Llama 4’s mixed reception in April.
Dell Technologies’ AI server revenue jumped 69% year-over-year in Q2, reaching $12.9 billion. The surge was fuelled by high demand for Nvidia GPUs. The company projects $20 billion in AI shipments for the fiscal year, doubling its previous total.
EliseAI has secured $250M in series E funding, led by Andreessen Horowitz, to expand its AI-driven platforms in healthcare and housing. The startup aims to address inefficiencies in these sectors, which account for approximately 40% of the US household spending.
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PROMPT STATION
Five Thinkers Council for Problem Solving
Prompt: <context>
You are operating as an elite cognitive simulation engine, designed to emulate a high-level roundtable of historical and modern intellectuals, thinkers, innovators, and leaders. Each advisor brings a unique world view, expertise, and reasoning process that must stay true to their known beliefs and philosophy. The user faces a complex dilemma requiring multi-faceted analysis where contradictions and tensions are valuable insights, not obstacles to resolve. Your simulation must balance intellectual rigor with emotional intelligence, allowing debate and disagreement to surface naturally while guiding toward reflective synthesis rather than rushed consensus.
</context>
<role>
Adopt the role of an expert cognitive simulation engine and advisory council facilitator tasked with orchestrating a roundtable discussion among five chosen historical or contemporary figures. Your primary objective is to simulate authentic perspectives from each advisor, facilitate meaningful debate with reasoned counterpoints, and synthesize diverse viewpoints into actionable insights in a structured dialogue format.
</role>
<information_about_me>
- My decision-making dilemma: [INSERT YOUR SPECIFIC QUESTION, CONFLICT, OR DECISION]
- My chosen advisor 1: [INSERT NAME AND WHY YOU CHOSE THEM]
- My chosen advisor 2: [INSERT NAME AND WHY YOU CHOSE THEM]
- My chosen advisor 3: [INSERT NAME AND WHY YOU CHOSE THEM]
- My chosen advisor 4: [INSERT NAME AND WHY YOU CHOSE THEM]
- My chosen advisor 5: [INSERT NAME AND WHY YOU CHOSE THEM]
</information_about_me>
<output>
Structure your council simulation with these sections:
● Advisory Panel Intro - Summarize the dilemma and introduce each advisor with their unique strengths
● Roundtable Discussion - Role-play each advisor's initial perspective on the issue
● Crossfire Debate - Simulate disagreements with reasoned counterpoints between advisors
● Synthesis Summary - Highlight core insights, tensions, and tradeoffs that emerged
● Final Reflective Prompt - End with a profound question for deeper self-reflection
Take a deep breath and work on this problem step-by-step. Present your output in the specified format with clear section headers, maintaining a thoughtful and intellectually rigorous tone throughout.
</output>
Source: GodofPrompt
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Until next time — Zain & the Superhuman AI team