AI Can Now Detect Cancer from Selfies

PLUS: The Finest Growth Consultant Prompt for ChatGPT

Welcome back to Daily AI Skills.

Here’s what we are covering today:
1. Gemini AI Expansion Across Devices
2. OpenAI Safety Dashboard
3. AI Cancer Detection from Selfies

+ The Growth Consultant Prompt for ChatGPT

Google Expands Gemini AI Across Devices

Google has announced a major expansion of its Gemini AI assistant, aiming to integrate it across a wider range of devices and platforms, including smartwatches, TVs, cars, and its upcoming XR headset.

Here are the highlights:

  • Gemini will launch on Wear OS smartwatches in the coming months, enabling natural voice interactions.

  • Google TV will gain Gemini support later this year, helping users discover content and answer educational queries.

  • Android Auto will feature Gemini to handle in-car tasks like finding locations or reading messages and emails.

  • The upcoming Android XR headset will also include Gemini, offering immersive, multimodal AI experiences right out of the box.

OpenAI Launches AI Safety Dashboard

OpenAI has introduced a new Safety Evaluations Hub that will regularly share public test results on how its AI models perform in key safety areas, such as generating harmful content, hallucinating, or being vulnerable to jailbreaks.

Here are the key points:

  • The hub presents side-by-side performance data for different OpenAI models, highlighting metrics like refusal to generate harmful content and factual accuracy.

  • It currently tracks four main areas: harmful content generation, jailbreak susceptibility, hallucination frequency, and how well models follow instruction hierarchies.

  • OpenAI says it will update the hub "periodically" as part of a broader initiative to be more transparent about AI safety practices.

  • The launch follows growing criticism about the company’s lack of openness around safety testing and recent concerns tied to the rollout of GPT-4o.

Check out the full announcement here: https://openai.com/safety/evaluations-hub/

AI Tool "FaceAge" Predicts Cancer Survival from Facial Photos

Researchers at Mass General Brigham have developed FaceAge, an AI tool that estimates a person’s biological age from a facial photo and enhances predictions of cancer survival outcomes.

Key details:

  • FaceAge was trained on tens of thousands of facial images to detect subtle features that indicate biological aging.

  • The study revealed that cancer patients typically appeared about five years older biologically, with higher FaceAge scores linked to lower survival rates.

  • When physicians incorporated FaceAge risk scores into clinical data, their predictions of 6-month survival became significantly more accurate.

  • The tool’s estimates also aligned with a gene tied to cellular aging, suggesting it captures biological processes beyond what chronological age reveals.

The $20k Growth Consultant Prompt for ChatGPT

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