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- 🤖 Meta’s $14.8 Billion Gamble on Superintelligence
🤖 Meta’s $14.8 Billion Gamble on Superintelligence
PLUS: How Do We Really Judge AI?
James Roesser
June 11, 2025
Welcome back AI enthusiasts!
In today’s Daily Report:
🎤Meta’s $14.8 Billion Gamble on Superintelligence
📦How Do We Really Judge AI?
🛠Trending Tools
🥪Brief Bites
💰Funding Frontlines
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
META
🎤Meta’s $14.8 Billion Gamble on Superintelligence
Meta CEO Mark Zuckerberg is reportedly creating a new superintelligence team dedicated to developing AGI.
Key Details:
Zuckerberg is finalizing a $14.8 billion all-cash deal to acquire a 49% stake in Scale AI, an IT company that specializes in creating high-quality, labeled datasets to train advanced AI models.
Scale AI CEO Alexandr Wang will lead the new superintelligence team to pursue Artificial General Intelligence (AGI): a theoretical concept where AI becomes generally smarter than humans.
Zuckerberg is personally recruiting around 50 new hires, even rearranging Meta’s offices so they sit near him. He’s been frustrated with Meta’s progress on AI breakthroughs and has decided to take a “more hands-on approach to accelerate it.”
Why It’s Important:
Zuckerberg plans to continue investing up to $65 billion in 2025 to build AI infrastructure that supports over 1 Gigawatt (GW) of computing power, or roughly the amount of electricity consumed by 875,000 homes.
Zuckerberg doesn’t just want to be relevant in the race to AGI; he wants to dominate it. If Meta succeeds, it will reshape how the technology is integrated into our daily lives. Facebook, Instagram, WhatsApp, and Threads enable Meta to access billions of daily users.
🩺 PULSE CHECK
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AI RESEARCH
📦How Do We Really Judge AI?
Image Source: Canva’s AI Image Generators/Magic Media
The MIT Sloan School of Management (MIT Sloan) recently discovered that our opinions on AI Systems are extremely nuanced and context-dependent.
Key Details:
Suppose you were shown an AI System that autonomously executes security trades (i.e., stocks, bonds, and options) as fast as possible at the optimal market price to make you money. How would you feel about using it?
Now imagine you’re applying for your dream job, and the company uses an AI System to screen your resume and cover letter. How would you feel about that?
By analyzing 82,000 reactions across 93 distinct decision contexts, they found that as AI Systems continue to influence our lives, our comfort level with them is heavily dependent on how, when, and where they’re being used.
To measure this comfort level, they created the “Capability-Personalization Framework (CPF),” which showed that we’re more likely to trust AI Systems when they’re better than us at a specific task and that specific task doesn’t require emotional touch.
Why It’s Important:
The CPF highlights how developers should take into account that our trust in AI Systems is heavily context-dependent.
Understanding this dynamic can help developers drive the adoption of AI by creating more nuanced products that reflect how we actually perceive and interact with AI Systems depending on the use case.
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🥪BRIEF BITES
OpenAI just hit $10 billion in Annual Recurring Revenue (ARR) thanks to ChatGPT’s growth.
Ohio State launched “AI Fluency,” an initiative to embed AI into core undergraduate requirements and majors.
EleutherAI unveiled “The Common Pile v1.0,” an 8-terabyte (TB) collection of openly licensed text to ethically train LLMs.
OpenAI released “o3-Pro,” which can search the web, analyze files, reason about visual inputs, use Python, and personalize responses using memory.
💰FUNDING FRONTLINES
💼WHO’S HIRING?
📒FINAL NOTE
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