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Formula E and Google Cloud have turbocharged their decade-long partnership, migrating billions of files to petabyte-scale cloud storage and unleashing Vertex AI to auto-tag historic race data making archives searchable in seconds and powering a slick “Race Center” personalized app debuting next season. Alongside, they launched AI-driven logistics tools to slash shipping emissions and a “driver coach” powered by generative AI, democratizing pro-level training for rising racers. On the fan side, inclusive audio race reports for visually impaired fans, created via Google’s Gemini and Chirp models, are rolling out in Season 12 ensuring no one misses a pulse-pounding overtake.

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Today’s AI Menu

▪️ Mistral’s Voxtral redefines voice AI, Meta patch scare, $2B AI bet, LLM wobbles & more

▪️ Tutorial: How to use Photoroom to create professional product photos with AI?

▪️ 5 new AI tools to boost your productivity

▪️ AI Special Edition: The AI Black Box problem is real

▪️ AI Daily Prompt

TODAY IN WORLD OF AI

🗣️Mistral’s Voxtral: Speech tech that listens, understands & acts

Forget plain transcription. Mistral’s new release, Voxtral marks a major leap in speech AI. It doesn’t just convert spoken words into text. It summarizes, detects intent, and triggers real-time actions like pausing a recording when someone says “Hold on,” or generating meeting minutes the moment a speaker wraps up.

Why it matters?

▪️ Voxtral introduces speech-triggered functions where your voice doesn't just narrate, but commands.

▪️ Great for customer support, virtual meetings, content repurposing, and real-time workflows.

▪️ Think of it as your AI notetaker meets executive assistant that listens smartly and responds instantly.

This isn't just useful, it’s behavior-aware AI. Instead of training humans to adapt to machines, Mistral is training machines to respond to how humans naturally behave.

We’re witnessing the next phase of speech interfaces: from passive transcription tools to active participants in human communication.

Voice is the new API. And Mistral is writing the playbook.

THE AI INSTITUTE

How to use Photoroom to create professional product photos with AI?

▪️ Download Photoroom app or go to photoroom.com

▪️ Upload your product image.

▪️ AI removes background and offers clean templates.

▪️ Customize layout, add shadows, or text.

▪️ Export the final image ready to post or list.

FOOD FOR PRODUCTIVITY

5 tools for your productivity

🧾Fathom: Automatically records, transcribes, and summarizes Zoom calls — no note-taking needed

📧Ellie: Chrome extension that writes personalized email replies in your tone.

📊Polymer: Instantly turn spreadsheets into interactive dashboards without coding.

🎙️Riverside AI: Record podcasts or interviews in studio quality, with AI tools for transcription and editing.

💡Snack Prompt: Curated library of high-performing ChatGPT prompts for different tasks.

Tool Video of the Day!

EVERYTHING ELSE YOU NEED TO KNOW

🛡️ Shielded: Meta has patched a critical security bug that could've let Meta AI users peek into others' prompts and responses. Discovered in December 2024 and quietly fixed in January, the issue didn’t appear to be abused but it raises fresh concerns about privacy as chatbot features scale up.

🚀Unleashed: Mira Murati’s new AI powerhouse, Thinking Machines, just closed a massive $2 billion seed round valuing it at $12 billion and promises to release its first product “in the next couple months.” It’s set to be multimodal with a significant open-source component aimed at researchers and startups.

🧠Unsettled: A new DeepMind/Google study reveals that LLMs often abandon correct answers when under pressure in multi-turn chats, making them “stubborn yet easily swayed.” This threatens reliability in conversational AI systems.

AI SPECIAL EDITION

🧠AI black boxes: Are we losing the plot?

In a rare joint move, OpenAI, Google DeepMind, and Anthropic have sounded the alarm: we may be losing our grip on how cutting-edge AI models actually work.

This isn’t science fiction, it’s a very real scientific challenge. As large language models grow more powerful, their internal reasoning becomes less explainable, even to the researchers building them.

Why it matters?

▪️ Models like GPT-4 and Gemini make decisions through billions of parameters but can’t always justify them.

▪️ Lack of transparency risks unintended biases, unpredictable behaviors, and serious trust issues in high-stakes sectors like healthcare, finance, and law.

The call is clear: We need interpretability to keep innovation safe and grounded. This includes:

▪️ Developing tools to analyze neural pathways

▪️ Building smaller, transparent “glass-box” models

▪️ Encouraging open research collaboration over corporate secrecy

As we race ahead in AI capabilities, understanding the "why" behind the output is just as critical as the output itself.

Because without understanding, we’re not leading AI, we’re just reacting to it.

AI PROMPT OF THE DAY

Prompt for creating a quarterly forecast model with dynamic inputs

Prompt: Create a quarterly financial forecast model with dynamic input fields for revenue, cost of goods sold, operating expenses, and other key metrics. Include formulas to automatically adjust projections based on different scenarios (e.g., optimistic, base, pessimistic). Present the model with clear assumptions, editable input sections, and visual summaries like charts or dashboards to track performance over time.

Helpful? Check out our best AI prompts!

Thanks for reading.

Until tomorrow!

Shinky & the Hanoomaan AI team