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Good morning, {{ first_name | AI enthusiasts }}. The saying “you can tell a lot from someone’s face” just got AI validation, with a new system accurately predicting cancer survival from facial photos alone.
Mass General’s FaceAge AI just converted looks into a valuable medical biomarker — and your face may be about to become your doctor’s newest diagnostic tool.
In today’s AI rundown:
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AI predicts cancer outcomes from photos
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Sakana teaches AI to think with time
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Transform videos into content gold mines
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OpenAI’s HealthBench to evaluate healthcare AI
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4 new AI tools & 4 job opportunities
LATEST DEVELOPMENTS
AI RESEARCH
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Image source: Mass General Brigham
The Rundown: Mass General Brigham’s researchers just FaceAge, an AI tool that can estimate a person’s biological age and improve cancer survival outcome predictions simply by analyzing their facial photograph.
The details:
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FaceAge uses a system trained on tens of thousands of face photos to translate subtle facial characteristics into a biological age estimate.
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The study found that cancer patients, on average, appeared about 5 years older, with a higher FaceAge correlating with worse survival rates.
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In physician testing, doctors showed significant improvement in accuracy when predicting 6-month survival when adding FaceAge risk scores to clinical data.
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The AI’s predictions correlated with a gene associated with cellular aging, suggesting FaceAge captured processes not detected by chronological age.
Why it matters: While we’re taught not to judge books by covers, our faces may actually reveal crucial health insights. By quantifying what physicians have intuitively observed for decades, this tech turns facial characteristics into actionable biomarkers that may help doctors personalize treatments more precisely than ever before.
TOGETHER WITH HUBSPOT
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The Rundown: HubSpot’s “AI For Business Builders” free guide shows you how to join the savvy entrepreneurs quietly leveraging artificial intelligence for real business growth — with no P.H.D. needed.
This no-BS guide cuts through the hype, giving you:
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A jargon-free breakdown of large language models (the engine behind AI’s magic)
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Concrete steps to leverage AI for immediate business growth
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Real-world examples that turn “prompt engineering” from gibberish into a secret weapon
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SAKANA AI
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Image source: Sakana AI
The Rundown: Sakana AI Continuous Thought Machines (CTMs), a new type of model that makes AI more brain-like by allowing it to “think” step-by-step over time instead of making instant decisions like current AI systems do.
The details:
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Unlike most AI that processes information in a static, one-shot way, the CTM considers how its internal activity unfolds over time, much like our brains do.
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The tech draws inspiration from real brains, where the timing of when neurons activate together is crucial for intelligence.
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Sakana the CTM solving complex mazes, showing the model visibly tracing possible paths through the maze as it thinks.
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Another example tackled image recognition, with a CTM viewing different parts of an image and spending more time based on the difficulty of the task.
Why it matters: Sakana is a unique AI startup in its mission to bring ‘nature-inspired’ methods to AI models, and these CTMs provide a differentiator that could help bring the flexibility and adaptability of human brains to advanced systems — leading to AI that reasons, learns, and solves problems in a more human-like fashion.
AI TRAINING
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The Rundown: In this tutorial, you will learn how to use Google’s NotebookLM to upload and analyze your videos and generate transcripts, title ideas, hooks, and descriptions to improve your content creation workflow.
Step-by-step:
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Visit and sign in with your Google account, then click “Create new” to start a fresh notebook.
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Add your video in the Sources panel by uploading your file or connecting to YouTube.
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Generate a transcript by typing prompts like “Provide a complete transcript” or “Translate the transcript to Spanish.”
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Improve your content by asking for “10 better hooks,” “5 YouTube title ideas,” or “YouTube description with relevant tags.”
Pro tip: You can also upload multiple videos with stats and ask NotebookLM to analyze which content style performed best to gain insights for future content strategy.
PRESENTED BY INNOVATING WITH AI
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The Rundown: Innovating With AI’s “The AI Consultancy Project” gives you the frameworks, playbooks, and client‑ready templates needed to turn “interesting AI ideas” into a revenue‑generating business – helping you ride the wave of an AI consulting boom expected to grow by 8x this decade.
In this program, you will:
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Gain the tools and frameworks to find clients and deliver top-notch services
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Follow a 6-month plan to build a 6-figure AI consulting business
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Join a 700‑strong cohort where some members landed their first AI client in 72 hours
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OPENAI
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Image source: OpenAI
The Rundown: OpenAI HealthBench, a benchmark created with 262 physicians to evaluate how AI systems perform in health conversations — and establish a new standard for measuring AI’s safety and effectiveness in medical contexts.
The details:
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The benchmark tests models across several themes (like emergency referrals and global health) and behaviors (accuracy, communication quality, etc.).
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Recent models seemed to perform much better on the benchmark, with OpenAI’s o3 scoring 60% compared to GPT-3.5 Turbo’s 16%
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The results also revealed that smaller models are now much more capable, with GPT-4.1 Nano outperforming older options while also being 25x cheaper.
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OpenAI has both the evaluations and testing dataset of 5,000 realistic, multi-turn health conversations between models and users.
Why it matters: There is an overwhelming amount of evidence that AI can provide serious improvements across the board in healthcare settings, and having physician-validated benchmarks is an important step for both measuring each model’s performance in medical contexts and deciding when and how to deploy them.
QUICK HITS
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🤖 – Generate custom videos with consistent subjects
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📝 – AI notepad for people in back-to-back meetings
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🧠 – Connect GitHub repos to OpenAI’s deep research agent
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🦌 – ByteDance’s open-source deep research tool
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📞 – Account Manager
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🧭 – Product Manager, Enterprise
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🛠️ – Engineering Intern
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🌟 – Director of Customer Success
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Google DeepMind the AI Futures Fund, an initiative that gives AI startups early access to advanced models, funding, and technical expertise to boost growth.
Softbank’s $100B towards OpenAI’s Stargate is reportedly being stalled with fears over U.S. tariffs and rising data center costs.
Perplexity is reportedly a new $500M round of funding that boosts the company’s valuation to $14B.
Carnegie Mellon researchers LegoGPT, an AI system that can create stable, buildable LEGO structures from text prompts.
Saudi Arabia Humain, a new AI venture, chaired by Crown Prince Mohammed bin Salman, that aims to make the country an AI hub in the region.
The U.S. FDA to deploy AI throughout the agency by the end of June, following a successful pilot where reviewers completed three-day tasks in minutes.
COMMUNITY
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Join our next workshop on Wednesday, May 14th, at 3 PM EST with Rahul Sonwalkar, founder of Julius AI. In this hands-on live session, you’ll learn how to analyze any dataset using just natural language, no code or spreadsheets required.
RSVP . Not a member? Join on a 14-day free trial.
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We’ll always keep this newsletter 100% free. To support our work, consider with your friends, and we’ll send you more free goodies.
See you soon,
Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team
