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- ChatGPT introduces meeting recording and connectors for Google Drive, Box, and more
ChatGPT introduces meeting recording and connectors for Google Drive, Box, and more
PLUS: MacBook-ready robotics, Mistral vs Copilot, Anthropic's defense AI & Toma’s dealership voice bots

In today’s agenda: | Plus, some interesting news:
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MAIN AI UPDATES / 5th June 2025
📹 ChatGPT's meeting revolution 📹
Recording, transcription and cloud integrations for business
OpenAI has launched powerful new business features for ChatGPT, including meeting recording and transcription capabilities that generate notes with time-stamped citations and suggest actions. The platform now supports connectors for Dropbox, Box, SharePoint, OneDrive, and Google Drive, allowing ChatGPT to search across users' cloud services to answer questions using their own documents and data. Users can convert action items into Canvas documents and query information across their meeting notes and integrated services. The feature follows an organization's access control hierarchy and competes directly with ClickUp, Zoom, and Notion's transcription tools. Deep research connectors for HubSpot, Linear, and Microsoft/Google tools are also now available in beta, enabling detailed research reports using both private data and web information.
🤖 Hugging Face's MacBook robotics 🤖
SmolVLA: Powerful AI robotics that runs locally
Hugging Face has released SmolVLA, an open-source AI model for robotics that's so efficient it can run on a single consumer GPU or even a MacBook. The 450 million parameter model outperforms much larger robotics models in both virtual and real-world environments despite its compact size. SmolVLA supports an "asynchronous inference stack" that separates the processing of a robot's actions from visual and audio processing, allowing robots to respond more quickly in fast-changing environments. The model can be tested and deployed on affordable hardware, including Hugging Face's own robotics systems, democratizing access to advanced robotics AI. This is part of Hugging Face's expanding robotics ecosystem, following their acquisition of Pollen Robotics and launch of inexpensive robotic systems.
💻 Mistral's coding revolution 💻
New "vibe coding" client enters the AI coding wars
French AI startup Mistral has launched Mistral Code, a new AI-powered coding assistant designed to compete directly with Windsurf, Cursor, and GitHub Copilot. Built as a fork of the open-source Continue project, Mistral Code bundles specialized models, in-IDE assistance, local deployment options, and enterprise tooling into a single package. The platform is powered by Codestral for autocomplete, Devstral for agentic coding tasks, and Mistral Medium for chat assistance, supporting over 80 programming languages. Major customers including Capgemini, Abanca bank, and SNCF railway are already using it in production. The tool offers granular platform controls, deep observability, and usage analytics for enterprise users, with private beta now available for JetBrains and VS Code platforms.
INTERESTING NEWS
🛡️ Anthropic enters national security AI 🛡️
Anthropic has unveiled a new set of custom AI models specifically tailored for U.S. national security customers, called "Claude Gov." These models are already deployed by agencies at the highest level of U.S. national security, with access limited to those operating in classified environments. The models were built based on direct feedback from government customers and are designed for strategic planning, operational support, and intelligence analysis. Claude Gov models better handle classified material, "refuse less" when engaging with classified information, and have enhanced proficiency in languages critical to national security operations. The move represents Anthropic's increasing engagement with U.S. government customers as part of its partnership with Palantir and AWS, joining the competitive race alongside OpenAI, Meta, and Google for lucrative defense contracts.
🚗 Toma's voice agents hit the jackpot 🚗
AI voice startup Toma has raised $17 million from Andreessen Horowitz after discovering unexpected success with car dealerships struggling with phone calls. The founders spent months living at dealerships in Oklahoma and Mississippi, sharing meals with dealers and understanding their operations firsthand. Their research revealed that dealership calls are only picked up 45% of the time, creating a massive opportunity for AI voice agents. Toma's AI now serves over 100 dealerships, helping customers schedule service appointments, handle parts orders, and answer sales questions. The system trains on each dealer's specific calls for 1-2 weeks to understand custom promotions and unique operations before going live. The startup operates on a subscription model, with dealers paying more as AI agents handle additional capabilities, demonstrating how vertical AI solutions can create sustainable businesses in traditional industries.

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