🔥 Google's new AI meeting note-taker

Also: Ex-Google's CEO controversial statement

Author

Evolving AI
August 19, 2024

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Welcome, AI enthusiasts

Google Meet's new AI-powered feature "Take notes for me," which automatically captures meeting notes, will be rolling out soon. Former CEO Eric Schmidt has pointed to Google's work-from-home policy as a reason for the company lagging in the AI race. At the same time, the startup MultiOn has launched an intelligent agent called Agent Q, claiming an impressive 95.4% success rate in real-world tasks. Let’s dive in!

In today’s insights:

  • Google's new AI meeting note-taker

  • Ex-Google CEO blames ‘working from home’ for tech giant lagging in AI race

  • A groundbreaking leap in Autonomous AI Agents

Read time: 4 minutes

🗞️ LATEST DEVELOPMENTS

Source: Google

Evolving AI: Google announced that it will soon launch a new AI-powered feature “Take notes for me” for its video chat service Google Meet.

Key Points:

  • Google Meet will soon feature an AI tool that automatically takes notes during meetings, allowing users to focus on discussions.

  • The tool is part of the AI Meetings and Messaging add-on and is powered by Google's Gemini AI platform.

  • The feature will be available by default but requires specific licensing within Google Workspace.

Details:

Google is set to launch a new AI-powered feature for its Google Meet service, designed to automatically take notes during meetings. This feature, called "Take notes for me," will be available exclusively to users with specific licenses, including Gemini Enterprise, Education Premium, and AI Meetings and Messaging add-ons. Administrators can preemptively manage access to this function by adjusting settings in the Admin panel under the Gemini Settings for Google Meet. The notes generated will follow the organization's Meet retention policy and be stored in the meeting owner's Drive folder. Following the meeting, both the organizer and the person who enabled the feature will receive an email containing the notes.

Why It Matters:

The introduction of AI-powered note-taking in Google Meet is one more step where traditional tasks like taking notes become automated. This not only streamlines productivity but also signals a broader move away from traditional, manual processes that have long been a staple of professional environments.

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Evolving AI: Former Google CEO Eric Schmidt criticizes the tech giant’s hybrid work policy, attributing it to the company’s lag in the AI race.

Key Points:

  • Eric Schmidt blamed Google's hybrid work policy for its lag in AI compared to startups like OpenAI.

  • Schmidt believes that intense, office-centered work culture is vital for innovation and competitiveness.

  • Google has implemented a hybrid work model, requiring in-office presence three days a week, similar to its competitors.

Details:

Eric Schmidt, former CEO of Google, recently expressed his concerns about Google’s current work-from-home policy during a conversation at Stanford University. He argued that this approach contributed to Google losing its lead in the AI race to startups like OpenAI and Anthropic. Schmidt emphasized that startups thrive because their teams work relentlessly, often sacrificing work-life balance for success. Google’s hybrid model, which mandates three days of in-office work, contrasts with this startup mentality, which Schmidt views as essential for cutting-edge innovation. This stance aligns with broader debates over the productivity and innovation impacts of remote versus in-office work.

Why It Matters:

Whether Schmidt was simply speaking his mind or made a mistake with his comments is up to you—especially as he tried walking back his claims over the weekend, likely after criticism from his former company. It’s an interesting perspective on why companies like OpenAI and Anthropic are now at the forefront in AI, while Google has been trying to play catchup, making some PR errors along the way.

Evolving AI: MultiOn has launched a new type of autonomous AI agent called Agent.

Key Points:

  • Agent Q integrates AI self-critique with reinforcement learning.

  • This approach allows the AI to plan, self-heal, and improve autonomously, showing a 340% performance boost in real-world tasks.

  • Agent Q's success signals a significant advancement in developing autonomous web agents for complex, dynamic environments.

Details:

Agent Q is a brand-new self-supervised agent reasoning and search framework that has been officially released after six months of development. This framework focuses on autonomous improvement in real-world tasks and internet environments through self-play and reinforcement learning. It harnesses state-of-the-art large language models to process web content, create task plans, and engage in reasoning in natural language form, particularly suitable for tasks spanning long time frames. Agent Q possesses advanced planning and self-healing capabilities. It combines cutting-edge technologies to enabling the AI to engage in complex multi-step reasoning and decision-making in dynamic environments.

Why It Matters:

Imagine yourself in a very large maze searching for the exit, with many forks in the path, each potentially leading you further away or closer to the exit. Agent Q is like a very intelligent assistant; it not only helps you analyze the possibilities of each path but also self-reflects when taking the wrong path to avoid the same mistake in the future.

💡 Tip of the Day

The challenge from Chinese companies to humanoid robotics giants like Boston Dynamics, Figure AI, and Tesla is serious. While American companies focus on perfecting the dexterity of robots' hands for real-world applications, Unitree has taken a different approach—prioritizing mobility. And in this area, they are miles ahead. Just look at what their robots can do in terms of movement; it surpasses the capabilities of most humans.

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