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  • 🤖 OpenAI and Microsoft’s $100 Billion Financial Definition of AGI

🤖 OpenAI and Microsoft’s $100 Billion Financial Definition of AGI

PLUS: IBM Technology’s Seven AI Trends for 2025, OpenAI CEO Sam Altman Owned Equity in OpenAI?

Welcome back AI enthusiasts!

In today’s Daily Report:

  • 📖OpenAI and Microsoft’s $100 Billion Financial Definition of AGI

  • 📈IBM Technology’s Seven AI Trends for 2025

  • 💵OpenAI CEO Sam Altman Owned Equity in OpenAI?

  • 🛠Trending Tools

  • 💰Funding Frontlines

  • 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

OPENAI

📖OpenAI and Microsoft’s $100 Billion Financial Definition of AGI

Image Source: Todd Bishop/GeekWire/“OpenAI DevDay 2023: Opening Keynote With Microsoft CEO Satya Nadella”/Screenshot

According to The Information, OpenAI and Microsoft agreed on a financial definition for Artificial General Intelligence (AGI).

Key Details:
  • AGI is a theoretical concept where AI systems achieve human-level learning, perception, and cognitive ability.

  • OpenAI defines AGI as “highly autonomous AI systems that outperform humans at most economically valuable work.”

  • OpenAI and Microsoft reportedly signed an agreement last year outlining that OpenAI has only achieved AGI when it develops AI systems that can generate at least $100 billion in profits.

Why It’s Important:
  • Once OpenAI achieves AGI that can generate at least $100 billion in profits, Microsoft loses access to OpenAI’s technology.

  • OpenAI is set to lose billions of dollars this year, and the company tells investors it won’t turn a profit until 2029. ChatGPT alone costs OpenAI $700,000 daily to operate.

IBM TECHNOLOGY

📈IBM Technology’s Seven AI Trends for 2025

Image Source: IBM Technology/YouTube/“AI Trends for 2025”/Screenshot

IBM Technology’s Martin Keen released a YouTube video outlining his seven AI trends for 2025.

Key Details:
  1. Agentic AI: AI Agents that can analyze data, set goals, and take action to achieve them. It’s like having a virtual co-worker who can think, reason, and adapt to changing circumstances.

  2. Inference Time Compute: The time it takes for an AI model to analyze inputs to generate outputs. Adding more compute to this process allows an AI model to spend more time “thinking” before responding.

  3. Large Language Models (LLMs): LLMs trained on massive datasets that exceed 37 Trillion Parameters to capture more complex patterns and nuances in language.

  4. Small Language Models (SLMs): SLMs designed to run locally on laptops and smartphones with limited compute that can easily be fine-tuned for specific use cases.

  5.  More Advanced Use Cases: Think of customer service chatbots that can solve complex problems instead of routing customer inquiries, issues, or requests.

  6. Near Infinite Memory: AI models that “just don’t forget” with ongoing, evolving dialogues that transform reactive chatbots into proactive companions with voice, memory, and personality.

  7. Human-In-The-Loop Augmentation: Active human involvement in developing, training, and operating AI models.

Why It’s Important:
  • These seven AI trends point towards a future where AI models are more intelligent, autonomous, and integrated into our daily lives.

  • It’ll also be interesting to see how the battle between Search Engines like Google Search and Answer Engines like Perplexity AI will evolve in 2025.

AI DRAMA

💵OpenAI CEO Sam Altman Owned Equity in OpenAI?

Image Source: Canva’s AI Image Generators/Magic Media

During OpenAI CEO Sam Altman’s testimony in 2023 before the Senate Judiciary Subcommittee on Privacy, Technology, and the Law, he stated: “I have no equity in OpenAI. I’m doing this because I love it!”

However, Altman recently admitted he actually had equity in OpenAI through a Sequoia Capital Fund at one point before selling it. He also explained how he currently has a “tiny sliver of equity in an old Y Combinator Fund.” While Altman’s equity in OpenAI through the Y Combinator Fund was known, his equity in OpenAI through the Sequoia Capital Fund wasn’t.

“He held a negligible stake, less than a fraction of a percent, in a general Sequoia Capital Fund with a broad portfolio, which he later learned had minimal exposure to OpenAI,” said OpenAI spokesperson Kayla Wood. Details about how much money Altman made through selling his stake in the Sequoia Capital Fund haven’t been disclosed.

Altman initially testified that he didn’t have any equity in OpenAI. However, his financial interest in the company through the Sequoia Capital Fund contradicts his testimony, raising concerns about Altman’s true motives.

Now, OpenAI is in the process of restructuring into a For-Profit Benefit Corporation (“B Corp.”) that’ll no longer be controlled by a Non-Profit Board of Directors (BofD) after raising $6.6 billion at a $157 billion valuation. Reports claim Altman could award himself a 7% equity stake in the company worth roughly $11 billion. However, Altman denied these reports, calling them “ludicrous.”

🩺 PULSE CHECK

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🛠TRENDING TOOLS

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🔮Browse our always Up-To-Date AI Tools Database.

💰FUNDING FRONTLINES

  • Retellio raises a $1.3M Funding Round to extract actionable insights from customer calls.

  • Scripta Insights lands a $17M Series B to revolutionize how Americans shop for prescription drugs.

  • Cadstrom secures a $6.8M Seed Round to validate designs of electronic devices in minutes.

💼WHO’S HIRING?

  • Dropbox (Remote): Software Engineer Intern, Summer 2025

  • Salesforce (San Francisco, CA): AI Scientist Intern, Summer 2025

  • Atlassian (San Francisco, CA): AI Research Intern, Summer 2025

  • Netflix (Los Angeles, CA): Data Visualization Engineer Intern, Summer 2025

  • Tesla (Palo Alto, CA): Perception Software Engineer Intern, Tesla Bot, Summer 2025

🤖PROMPT OF THE DAY

CUSTOMERS

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📒FINAL NOTE

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