🤖 Who Will Control the Future of AI?

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Welcome back AI enthusiasts!

In today’s AI Report:

• 🪖Who Will Control the Future of AI?

• 🦺The Aging U.S. Power Grid Can’t Handle AI

• 🚦Stop Feeding X Your Data

• 🧮Google DeepMind Solves International Math Olympiad Problems

• 🛠5 Trending Tools

• 💰Venture Capital Updates

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

SAM ALTMAN

🪖Who Will Control the Future of AI?

OpenAI CEO Sam Altman published an op-ed in The Washington Post outlining why a democratic vision for AI must prevail over an authoritarian one.

Key Details:

• Altman strongly believes that a U.S.-led global coalition of like-minded countries will ensure AI developments stay democratic and benefit as many people as possible.

• “It’s not a Republican or Democrat issue; it’s an American issue,” explained Altman. “No matter who the next U.S. President is, they’ll make big decisions about shaping the future of U.S. AI leadership.”

• He outlines four things needed to ensure a democratic vision for AI:

  1. Robust Security Measures

  2. Infrastructure Investment

  3. Coherent Commercial Diplomacy

  4. New Frameworks for Global AI Governance

• Altman suggests creating an international body for AI oversight similar to the International Atomic Energy Agency (IAEA) or Internet Corporation for Assigned Names and Numbers (ICANN).

Why It’s Important:

• Altman highlights a critical issue of our time: “Who will control the future of AI?” The implications are profound for individuals, societies, and the global order.

• The global power leading AI developments will likely gain significant economic and geopolitical advantages.

🩺 PULSE CHECK

AI AND ENERGY

🦺The Aging U.S. Power Grid Can’t Handle AI

The AI boom has led to a surge in data center construction, raising concerns about the U.S.’s ability to generate enough electricity for widespread AI adoption.

Key Details:

• AI models require immense computational resources (e.g., processing power, cooling systems, and memory), which translates to massive energy consumption.

• New data centers equipped with energy-intensive systems have been built to support these immense computational resources.

• In many regions, the power grid infrastructure isn’t designed to handle the sudden increase in electricity demands from these new data centers.

• Boston Consulting Group (BCG) estimates demand for data centers will rise 15% to 20% every year through 2030.

• OpenAI CEO Sam Altman recently invested in nuclear fission microreactor startup Oklo, which leverages nuclear power to provide clean, reliable, and affordable energy for OpenAI’s AI models.

Why It’s Important:

• The U.S.’s aging power grid is ill-equipped to handle the electricity load to power AI models. McKinsey & Co. (McK) states that a single data center can use as much power as 80,000 homes.

• Given this bottleneck, smaller than a billion-parameter Small Language Models (SLMs) are the future.

• Apple, Meta, and OpenAI have proposed a family of optimized AI models for on-device applications, prioritizing architecture over data and parameter quantity.

AI TIPS

🚦Stop Feeding X Your Data

Elon Musk’s social media platform X automatically activated a new setting that allows the company to use your content for AI model training.

The great news is that you can switch it off! Here’s how to switch off X’s data-sharing settings:

1. Navigate to the “More” section in the bottom left corner of X.

2. Open up the “Settings and Privacy” page.

3. Select the “Privacy and Safety” button.

4. Select “Grok.”

5. Uncheck the box.

AI RESEARCH

🧮Google DeepMind Solves International Math Olympiad Problems

Google DeepMind’s AI systems, AlphaProof and AlphaGeometry 2, achieved silver-medal equivalent scores at this year’s International Mathematical Olympiad (IMO).

AlphaProof specializes in solving complex mathematical problems using a formal language called Lean to express and verify mathematical proofs.

Lean is a free, open-source, interactive theorem prover and functional programming language for formal mathematics.

AlphaGeometry 2 specializes in solving complex geometry problems using Neural Networks (NNs) and symbolic reasoning.

NNs are an AI framework that mimics how the human brain processes information. Symbolic reasoning involves manipulating symbols as linguistic expressions to perform complex tasks like problem-solving and logical reasoning.

The AI systems solved four out of six problems from the 2024 IMO, scoring 28 out of 42 points. AlphaGeometry 2 solved complex geometry problems in just 19 seconds.

🛠TRENDING TOOLS

🧳TripPlanner optimizes your next adventure.

🎸Udio discovers, creates, and shares music effortlessly.

🍔Recipes generates unique and delicious recipes instantly.

🧠CustomGPT turns data into dialogue with AI-driven precision.

🗺Zixflow manages the entire customer journey through emails, SMS, and WhatsApp.

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

💰VENTURE CAPITAL UPDATES

• Lakera secures a $20M Series A for GenAI security solutions.

• HashAI closes a $10M Investment to supercharge AI mining methods.

• Pearl raises a $58M Series B to build dental AI solutions that elevate patient care.

💼WHO’S HIRING?

• Codeium (Mountain View, CA): Software Engineering Intern, Fall 2024

• Puffco (Los Angeles, CA): Analyst Intern, Summer 2025

• Optiver (Austin, TX): Quantitative Research Intern, Summer 2025

• Replo (San Francisco, CA): Software Engineer, New Grad

• Anyscale (San Francisco, CA): Software Engineer, Infrastructure Data Plane

🤖PROMPT OF THE DAY

ANALYTICS

📊Implement a Data Analytics System

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Outline the critical steps, including defining objectives, data security, as well as data collection and integration methods.

Business = [Insert Here]

Product/Service = [Insert Here]

Industry = [Insert Here]

📒FINAL NOTE

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