Read Online | Sign Up | Advertise | | | Good morning, 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 Generalās FaceAge AI just converted looks into a valuable medical biomarker āĀ and your face may be about to become your doctor's newest diagnostic tool. | | In todayās AI rundown: | AI predicts cancer outcomes from photos Sakana teaches AI to think with time Transform videos into content gold mines OpenAIās HealthBench to evaluate healthcare AI 4 new AI tools & 4 job opportunities
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| | | | AI RESEARCH | |  | Image source: Mass General Brigham |
| The Rundown: Mass General Brighamās researchers just introduced 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: | FaceAge uses a system trained on tens of thousands of face photos to translate subtle facial characteristics into a biological age estimate. The study found that cancer patients, on average, appeared about 5 years older, with a higher FaceAge correlating with worse survival rates. In physician testing, doctors showed significant improvement in accuracy when predicting 6-month survival when adding FaceAge risk scores to clinical data. The AIās 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. |
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| | TOGETHER WITH HUBSPOT | | | The Rundown: HubSpotās āAI For Business Buildersā free guide shows you how to join the savvy entrepreneurs quietly leveraging artificial intelligence for real business growth ā with no P.H.D. needed. | This no-BS guide cuts through the hype, giving you: | A jargon-free breakdown of large language models (the engine behind AI's magic) Concrete steps to leverage AI for immediate business growth Real-world examples that turn "prompt engineering" from gibberish into a secret weapon
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| | SAKANA AI | |  | Image source: Sakana AI |
| The Rundown: Sakana AIĀ unveiled Continuous Thought Machines (CTMs), a new type of model that makes AI more brain-like by allowing it to āthinkā step-by-step over time instead of making instant decisions like current AI systems do. | The details: | 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. The tech draws inspiration from real brains, where the timing of when neurons activate together is crucial for intelligence. Sakana demoed the CTM solving complex mazes, showing the model visibly tracing possible paths through the maze as it thinks. 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 ānature-inspiredā methods to AI models, and these CTMs provide a differentiator that could help bring the flexibility and adaptability of human brains to advanced systems ā leading to AI that reasons, learns, and solves problems in a more human-like fashion. |
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| | AI TRAINING | | | 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: | Visit NotebookLM and sign in with your Google account, then click āCreate newā to start a fresh notebook. Add your video in the Sources panel by uploading your file or connecting to YouTube. Generate a transcript by typing prompts like āProvide a complete transcriptā or āTranslate the transcript to Spanish.ā Improve your content by asking for ā10 better hooks,ā ā5 YouTube title ideas,ā or āYouTube description with relevant tags.ā
| 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. |
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| | PRESENTED BY INNOVATING WITH AI | | | The Rundown: Innovating With AIās āThe AI Consultancy Projectā gives you the frameworks, playbooks, and clientāready templates needed to turn āinteresting AI ideasā into a revenueāgenerating business ā helping you ride the wave of an AI consulting boom expected to grow by 8x this decade. | In this program, you will: | Gain the tools and frameworks to find clients and deliver top-notch services Follow a 6-month plan to build a 6-figure AI consulting business Join a 700āstrong cohort where some members landed their first AI client in 72 hours
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| | OPENAI | |  | Image source: OpenAI |
| The Rundown: OpenAI released HealthBench, a benchmark created with 262 physicians to evaluate how AI systems perform in health conversations ā and establish a new standard for measuring AIās safety and effectiveness in medical contexts. | The details: | The benchmark tests models across several themes (like emergency referrals and global health) and behaviors (accuracy, communication quality, etc.). Recent models seemed to perform much better on the benchmark, with OpenAI's o3 scoring 60% compared to GPT-3.5 Turbo's 16% 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. OpenAI has open-sourced 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 modelās performance in medical contexts and deciding when and how to deploy them. |
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| | | | | š¤Ā HunyuanCustom - Generate custom videos with consistent subjects šĀ Granola iOS - AI notepad for people in back-to-back meetings š§ Ā Deep Research - Connect GitHub repos to OpenAIās deep research agent š¦Ā Deer Flow - ByteDanceās open-source deep research tool
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| | | šĀ The Rundown - Account Manager š§Ā OpenAI - Product Manager, Enterprise š ļø xAI - Engineering Intern šĀ Hebbia - Director of Customer Success
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| | | Google DeepMind launched the AI Futures Fund, an initiative that gives AI startups early access to advanced models, funding, and technical expertise to boost growth. | Softbankās $100B commitment towards OpenAIās Stargate is reportedly being stalled with fears over U.S. tariffs and rising data center costs. | Perplexity is reportedly set to raise a new $500M round of funding that boosts the companyās valuation to $14B. | Carnegie Mellon researchersĀ published LegoGPT, an AI system that can create stable, buildable LEGO structures from text prompts. | Saudi ArabiaĀ unveiled 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. FDAĀ plans to deploy AI throughout the agency by the end of June, following a successful pilot where reviewers completed three-day tasks in minutes. |
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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, youāll learn how to analyze any dataset using just natural language, no code or spreadsheets required. | RSVP here. Not a member? Join The Rundown University on a 14-day free trial. |
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| | That's it for today!Before you go weād love to know what you thought of today's newsletter to help us improve The Rundown experience for you. | | See you soon, | Rowan, Joey, Zach, Alvaro, and JasonāThe Rundownās editorial team |
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