🤖 OpenAI Wins Gold Medal at Competitive Coding Event

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Welcome back AI enthusiasts!

In today’s Daily Report:

• 🥇OpenAI Wins Gold Medal at Competitive Coding Event

• 🔮Predicting a Person’s Risk of Developing a Disease

• 🛠Trending Tools

• 🥪Brief Bites

• 💰Funding Frontlines

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

OPENAI

🥇OpenAI Wins Gold Medal at Competitive Coding Event

OpenAI just achieved a perfect score at the world’s most prestigious programming competition.

Key Details:

• The International Collegiate Programming Contest (ICPC) World Finals involves teams of three students from nearly 3,000 universities across 103 countries competing to solve complex algorithmic problems.

• OpenAI developed an experimental LRM paired with GPT-5 that correctly solved 12 out of 12 of these exceptionally challenging algorithmic problems.

• It reportedly relies on three main components:

  1. 🟡 Large Reasoning Model (LRM) to analyze complex algorithmic problems and form ideas on how to solve them.

  2. 🔴 Symbolic Deduction Engine (SDE) to apply formal logic to the LRM’s ideas by rigorously checking them against algorithmic rules like “a recursive function must possess a base case.”

  3. 🟢 Iterative Feedback Loop (IFP) to provide targeted critiques when the SDE identifies flaws in the LRM’s ideas.

Why It’s Important:

• If frontier AI models can solve exceptionally challenging algorithmic problems, it means they’re doing more than just performing sophisticated pattern matching; they’re demonstrating the ability to understand concepts, formulate strategies, and construct logical arguments.

• It’s the first time in ICPC World Finals history that all the complex algorithmic problems were solved. This achievement also marks the first time a frontier AI model has displayed some form of superhuman intelligence within a specific domain.

🩺 PULSE CHECK

AI RESEARCH

🔮Predicting a Person’s Risk of Developing a Disease

The European Molecular Biology Laboratory (EMBL) developed “Delphi-2M,” which analyzes a patient’s medical records to accurately predict their risk of developing over 1,000 different diseases up to 20 years in advance.

Key Details:

• It was trained on 400,000 anonymized clinical datasets from UK Biobank, which contained hospital visits with detailed timelines of diagnoses since birth.

• Each medical event was classified using standardized medical codes, such as the International Classification of Diseases (ICD). For example, if a doctor diagnoses Type 2 Diabetes and prescribes Metformin to treat high blood sugar levels, that’s categorized as ICD Code E11.9.

• “Delphi-2M” leveraged these standardized medical codes to convert complex medical records into structured sequences of health events, preserving the chronological order of hospital visits, diagnoses, and treatments to analyze how a patient’s health evolved over time.

• As a result, it learned to simulate how diseases might progress throughout a patient’s lifespan based on demographics like age, gender, ethnicity, socioeconomic status, and geographic location.

Why It’s Important:

• It achieved an average AUC of approximately 0.85 over a 5-year period. In other words, “Delphi-2M” correctly distinguished between patients who’d develop a disease and those who wouldn’t 85% of the time.

• It excels at predicting diseases with well-understood progression patterns such as hypertension, breast cancer, and osteoporosis. While promising, it struggles to perform well on rare diseases with irregular progressions.

PROMPT ENGINEERING TIPS

⚙️Invest With Intention!

We’re living longer than ever! The average life expectancy in the U.S. is 78.4 years. In fact, there’s a 90% chance that at least one person in a couple will reach 85 years old.

For risk-averse investors, holding cash may seem like the “safe bet.” In reality, inflation slowly eats away at the value of your cash. For example, $10,000 today won’t go nearly as far as it did 30 years ago.

Long-term investing success revolves around avoiding the “get in, get out” mentality of making a quick buck from hot stocks. So, how do you create a balanced investment portfolio? Which stocks, bonds, or alternative assets should you invest in?

This simple prompt turns ChatGPT into your long-term financial strategist:

• Context: I’m planning for long-term financial security,

• Clarity: but I’m not sure how to create a diversified investment portfolio that aligns with my {Insert Risk Tolerance} and {Insert Time Horizon}.

• Guidance: Can you help me develop a long-term investment strategy based on {Insert Age}, {Insert Starting Capital}, and {Insert Monthly Contribution}?

I'm planning for long-term financial security, but I'm not sure how to create a diversified investment portfolio that aligns with my {Insert Risk Tolerance} and {Insert Time Horizon}. Can you help me develop a long-term investment strategy based on {Insert Age}, {Insert Starting Capital}, and {Insert Monthly Contribution}?

*Disclaimer: The information provided in this newsletter is for educational purposes only and doesn’t constitute financial, investment, or professional advice. Please consult with a qualified financial advisor before making any investment decisions.

🛠TRENDING TOOLS

🔊Soundwise.ai transcribes audio and video for free.

🏁TestDriver automates software testing across the web.

🎬Morphic brings ideas to life through cinematic experiences.

📽️ShootSolo records videos hands-free using voice commands.

📱Trylli AI creates AI-enabled Voice Agents to screen phone calls.

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

🥪BRIEF BITES

OpenAI and Apollo Research identified “Scheming Behaviors,” a new method to detect and reduce sneaky, harmful behavior in advanced AI models.

Google published “Go Behind the Browser,” where they shared 10 new AI-powered updates revolutionizing Google Chrome across multiple levels.

World Labs launched “Marble,” which converts brief text descriptions or static images into immersive, explorable, and interactive 3D worlds you can endlessly explore.

Zoom introduced “Zoom AI Companion 3.0,” which autonomously schedules, summarizes, and streamlines all parts of virtual meetings and generates photorealistic avatars.

💰FUNDING FRONTLINES

• Nothing raised a $200M Series C at a $1.3B valuation to pioneer AI-first consumer devices.

• Irregular closed an $80M Series A at a $450M valuation to offer cutting-edge AI security.

• Vibranium Labs landed a $4.6M Seed Round to fix bugs, alerts, and failures.

💼WHO’S HIRING?

• EarnIn (Mountain View, CA): AI Marketing Creative Intern, Winter 2025

• NVIDIA (Austin, TX): ASIC Hardware Design Engineer, Entry-Level

• Anthropic (Seattle, WA): Product Engineer, Applied AI, Mid-Level

• Meta (Menlo Park, CA): AI-Focused Finance Manager, Senior-Level

📒FINAL NOTE

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