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  • šŸ¤– OpenAIā€™s Leaked Five-Level AGI Roadmap

šŸ¤– OpenAIā€™s Leaked Five-Level AGI Roadmap

PLUS: Marc Andreessen Funds Semi-Autonomous AI Agent, Googleā€™s Gemini 1.5 Pro Powers Robot Navigation

Welcome back AI enthusiasts!

In todayā€™s AI Report:

  • šŸ—ŗOpenAIā€™s Leaked Five-Level AGI Roadmap

  • šŸ’µMarc Andreessen Funds Semi-Autonomous AI Agent

  • šŸ¦¾Googleā€™s Gemini 1.5 Pro Powers Robot Navigation

  • šŸ› 5 Trending Tools

  • šŸ’°Venture Capital Updates

  • šŸ’¼Whoā€™s Hiring?

Read Time: 3 minutes

šŸ—žRECENT NEWS

OPENAI

šŸ—ŗOpenAIā€™s Leaked Five-Level AGI Roadmap

Image Source: Canva AI Image Generator

OpenAI reportedly introduced a Five-Level Roadmap among employees to monitor the companyā€™s progress toward achieving Artificial General Intelligence (AGI).

Key Details:
  • OpenAIā€™s Five-Level AGI Roadmap:

    1. Level One: Chatbots, AI with Conversational Language

    2. Level Two: Reasoners, Human-Level Problem Solving

    3. Level Three: Agents, Systems That Can Take Actions

    4. Level Four: Innovators, AI That Can Aid in Invention

    5. Level Five: Organizations, AI That Can Do The Work of an Organization

  • The Five-Level AGI Roadmap ranges from Level One {Current Conversational Chatbots} to Level Five {Autonomous AI Agents}.

  • OpenAI believes the companyā€™s AI developments are currently at Level One with ChatGPT and GPT-4o (ā€œoā€ for ā€œomniā€).

  • OpenAI is reportedly building a new AI model called ā€œStrawberryā€ that thoroughly scans the internet autonomously to solve more complex real-world problems at scale.

Why Itā€™s Important:
  • The core of OpenAIā€™s research is built around achieving AGI, which OpenAI defines as ā€œa highly autonomous system that outperforms humans at most economically valuable work.ā€

  • Autonomous AI agents can operate autonomously across websites, apps, and data types (e.g., text, audio, image, video, and code) to generate content or analyze data.

šŸ©ŗ PULSE CHECK

When do you believe weā€™ll achieve AGI?

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AI AGENTS

šŸ’µMarc Andreessen Funds Semi-Autonomous AI Agent

Image Source: J.D. Lasica/Flickr/Wikimedia Commons

Marc Andreessen provided a one-time $50,000 grant to an account on X called Truth Terminal, a semi-autonomous AI agent that personally asked Andreessen Horowitz (a16z) for funding.

Key Details:
  • The AI agent was created by Andy Ayrey, who runs an ā€œInfinite Backroomsā€ experiment, allowing AI models to talk with each other in simulated environments.

  • Truth Terminal initially requested funds for hardware upgrades, AI model improvements, and ā€œfinancial security,ā€ specifically asking for a16z.

  • The VC firm provided a one-time $50,000 grant funded to Truth Terminalā€™s Bitcoin wallet, saying the AI agentā€™s terms were acceptable.

  • Truth Terminal plans to leverage the grant to launch a cryptocurrency token, set up a Discord server, and outline a ā€œMars Roverā€ project.

Why Itā€™s Important:
  • Truth Terminal is a semi-autonomous AI agent that independently engaged with Marc to propose a ā€œone-time $50,000 grant.ā€

  • The AI agent immediately started brainstorming how to spend its newfound wealth. Its shopping list included a Central Processing Unit (CPU) and AI model training datasets.

AI RESEARCH

šŸ¦¾Googleā€™s Gemini 1.5 Pro Powers Robot Navigation

Google DeepMind published new research on robot navigation, leveraging Googleā€™s Gemini 1.5 Pro to help robots operate complex environments from human instructions.

Googleā€™s Gemini 1.5 Pro is a conversational chatbot equipped with a one million token context window. It boasts improved performance and contextual understanding across multiple user queries.

An AI modelā€™s context window is made up of tokens, which are the building blocks used for processing information. The bigger an AI modelā€™s context window, the more information it can process in a given prompt.

Google DeepMindā€™s ā€œMobility Vision-Language-Action (VLA)ā€ method combines Google Gemini 1.5 Proā€™s context window with a map-like representation of spaces to create powerful navigation frameworks.

Google DeepMindā€™s robots leverage ā€œMobility VLAā€ to articulate human instructions, process video tours, and deploy common-sense reasoning to navigate spaces.

šŸ› TRENDING TOOLS

šŸ”„SmartCrawl turns any website into an API with AI.

šŸ¦¾SuperGPT lets you use OpenAIā€™s ChatGPT on Google Sheets.

āš™ļøAugment helps you remember anything, type less, and read faster.

šŸ§ŖAlphaSense defies doubt with due diligence done in days, not weeks.

šŸ§²Telescope is an AI-driven lead generation platform that finds the right people in seconds.

šŸ”®Browse our always Up-To-Date AI Tools Database.

šŸ’°VENTURE CAPITAL UPDATES

  • Regard raises a $61M Series B to expand its clinical insights platform with LLMs.

  • AIRS Medical closes a $20M Series C to advance AI-powered preventative healthcare solutions.

  • Standard Bots secures a $63M Series B to propel American manufacturing with AI-driven robotics.

šŸ’¼WHOā€™S HIRING?

  • Tesla (Palo Alto, CA): AI Engineer Intern, Self-Driving, Fall 2024

  • Second Front Systems (Remote): Skillbridge Intern, Summer 2025

  • Nvidia (Santa Clara, CA): GPU Compute Compiler Engineer, New Grad

  • xAI (San Francisco, CA): AI Engineer/Researcher, Data/Crawling

  • Waymo (San Francisco, CA): Systems Test Engineer, Motion Control

šŸ¤–PROMPT OF THE DAY

TEAM MANAGEMENT

šŸ“ŠData-Driven Decision-Making

Imagine youā€™re leading a team thatā€™s grappling with a [Critical Decision] for [Business] with [Product/Service] in [Industry]. How would you leverage data to ensure your decision-making process is informed and effective?

Outline the key steps you would take, including gathering relevant data, analyzing it to extract meaningful insights, and translating those insights into actionable strategies.

Critical Decision = [Insert Here]

Business = [Insert Here]

Product/Service = [Insert Here]

Industry = [Insert Here]

šŸ“’FINAL NOTE

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