🤖 OpenAI’s Testing Personalized Ads on ChatGPT

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In today’s Daily Report:

• 🪧OpenAI’s Testing Personalized Ads on ChatGPT

• 🎓Solving an Unsolved 30-Year-Old Math Problem

• 🛠Trending Tools

• 🥪Brief Bites

• 💰Funding Frontlines

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

OPENAI

🪧OpenAI’s Testing Personalized Ads on ChatGPT

OpenAI’s reportedly gearing up to inject personalized ads into ChatGPT, turning conversations into a money-making machine.

Key Details:

• OpenAI’s officially exploring ways to deliver highly personalized ads by leveraging ChatGPT’s memory feature, which was originally designed to remember details from your conversations to make future chats more helpful.

• ChatGPT’s Beta Android App Version 1.2025.329 features several lines of code that reference “ads feature,” “search ad,” and “search ads carousel.”

• OpenAI’s new CEO of Applications, Fidji Simo, spent over a decade at Facebook, eventually becoming Head of the Facebook App. Many believe she’s responsible for the “Meta-fication” of ChatGPT.

Why It’s Important:

• OpenAI CEO Sam Altman previously expressed that he finds the integration of personalized ads into ChatGPT “uniquely unsettling to me” and views it as “a last resort.”

• OpenAI’s losing money on ChatGPT Pro Plans and is projected to burn through more than $115 billion by 2029. Although more than 800 million people use ChatGPT every week, less than 5% upgrade to a paid tier.

HARMONIC

🎓Solving an Unsolved 30-Year-Old Math Problem

Harmonic recently developed “Aristotle,” an AI-powered mathematician that resolved an unsolved 30-year-old Number Theory (NT) problem, marking a moon landing moment for math.

Key Details:

• Erdős Problem #124 essentially asks: even with strict constraints around constructing numbers, can a large number be represented without exceeding any digit’s allowed value? In simpler terms, can you still write a large number when there are limits on the types of digits you can use?

• It generates possible Formal Proofs and verifies them using Lean 4. Formal Proofs are very strict, rigorous, and meticulously detailed mathematical arguments rooted in the basic building blocks of math. Lean 4 is a programming language designed for writing and verifying Formal Proofs.

• It also employs Monte Carlo Tree Search (MCTS) to intelligently simulate a tree of potential solutions, evaluating which branches are most promising and prioritizing them. This process dramatically reduces the computational resources needed to test Formal Proofs.

Why It’s Important:

• We naturally excel at deriving specific conclusions from general premises. In other words, if all the general premises are true, then the specific conclusion must also be true. For example, if all mammals are warm-blooded, and all whales are mammals, we can conclude that all whales are warm-blooded.

• If AI can solve exceptionally challenging math problems, it’s demonstrating the ability to understand concepts, formulate strategies, and construct logical arguments. That’s a BIG breakthrough toward replicating a human’s decision-making ability and problem-solving capacity.

THE STOCK MARKET

📍AI Tier Tracker

🔔CLOSING BELL: As of 12/01/2025 market close.

💡STOCK SPOTLIGHT: Each tier showcases a new stock every day.

🛠TRENDING TOOLS

📦Atono plans, builds, and runs your product.

📽️Karumi AI creates personalized product demos.

💭Validate Idea proves demand before you commit.

📸ImageTranslator turns text into photos, instantly.

⚙️OverseerOS reverse-engineers any YouTube channel.

🧰 Browse our Always Up-To-Date AI Toolkit.

🥪BRIEF BITES

AI Agents reportedly drove nearly $14.2 billion in global online sales on Black Friday, approximately $3 billion of which came from the U.S. alone.

NVIDIA introduced “Alpamayo-R1,” which enables self-driving cars to verbalize their thought processes, providing real-time explanations of driving decisions.

Telegram CEO Pavel Durov launched “Cocoon,” a decentralized computer network on the blockchain that connects GPU Owners with AI researchers.

Hollywood Director James Cameron warned about “AI Actors,” claiming they could destroy the collaborative process that defines authentic filmmaking.

💰FUNDING FRONTLINES

• Raindrop landed a $15M Seed Round to detect critical AI Agent failures.

• Mixxtech.io closed a $33M Series A to unify compute, network, and memory.

• Black Forest Labs raised a $300M Series B to advance frontier visual intelligence.

💼WHO’S HIRING?

• Meta (Seattle, WA): Research Scientist Intern, FAIR Chemistry

• Palantir (New York, NY): Software Engineer, Backend Infra., Entry-Level

• Resolve (San Francisco, CA): AI Engagement Manager, Mid-Level

• Rad AI (Remote): Sr. Test Automation Engineer, Senior-Level

📒FINAL NOTE

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