Massive Error in Google Healthcare AI!

Welcome back, folks.

Google's Med-Gemini AI, used in healthcare, recently made a significant error by combining "basilar" and "basal ganglia" into a non-existent "basilar ganglia."

This mistake appeared in a research paper and blog post but was later corrected after being spotted by a neurologist. Isn’t it dangerous?

Let’s dive into the details. . .

Today in the “Incredible AI” world:

• Google’s Med-Gemini Hits a Snag

• Apple's New AI Search Ambitions

• OpenMind’s Robot OS for Humans

• Create Fresh Content with AI in Minutes

• 5 Super-Useful AI Tools You Should Try

• AI Image of the Day

Read Time: 4 minutes

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Google's Medical AI Makes Embarrassing Typo:

Google's Med-Gemini AI, designed to assist in healthcare, recently made a notable error. The AI conflated two distinct parts of the brain, the "basilar" and "basal ganglia," creating a non-existent "basilar ganglia."

Things to Know:

• Model Capabilities: Med‑Gemini is built to interpret images, EHRs, and clinical data across modalities. It achieved state‑of‑the‑art performance on major benchmarks like MedQA, outperforming GPT‑4V and MedPaLM 2 in many evaluations.

• The Error: The hallucination—or typo—occurred during interpretation of head CT scans. Despite dozens of co‑authors and expert reviewers, the fabricated term “basilar ganglia” slipped through both the paper and the initial blog post.

• Clinical Implications: Experts flagged this as dangerous, pointing out that terminology errors—even small ones—could mislead clinicians. Automation bias may cause doctors to accept AI outputs without critical verification.

Critics call for real‑time hallucination detection systems, stricter oversight, and transparency. Many argue healthcare AI must meet higher accuracy standards than human performance before deployment. Someday, imperfect could feel intolerable.

Apple Forming a New Team for AI Search Ambitions:

Apple has assembled a new team focused on developing an AI-powered search system. This team, known as the "Answers" team, aims to create a tool that can provide users with quick and accurate information from the web, similar to ChatGPT.

Things to Know:

• New AI Team Formation: Apple formed the "Answers, Knowledge, and Information" team led by former Siri executive Robby Walker. This group aims to create simplified AI for quick knowledge access.

• Development of an Answer Engine: The primary goal of the Answers team is to build an "answer engine." This system will crawl the web to answer general-knowledge questions, making information more accessible to users.

• Privacy-First Approach: The new AI system emphasizes on-device privacy while providing accurate, real-time information. Apple wants to differentiate itself from cloud-dependent competitors like ChatGPT.

In addition to integrating this technology into existing services like Siri and Safari, Apple is exploring the possibility of a standalone app. This app would provide users with a dedicated platform for AI-powered search, further expanding Apple's ecosystem.

OpenMind Creates Robot Operating System:

OpenMind is developing OM1, an operating system for humanoid robots that works like Android. The startup aims to enable better human-machine collaboration through open, hardware-agnostic software. Their vision transforms how robots interact with humans.

Things to Know:

• The Vision: OpenMind compares itself to Android for robotics, creating open software across different robot hardware. Stanford professor Jan Liphardt founded the company to address humanoid robots' need for more human-like systems.

• FABRIC Protocol: The company unveiled FABRIC, a protocol allowing robots to verify identity and share information instantly. This enables robots to learn languages from each other without direct human training for capabilities.

• Current Progress: OpenMind raised $20 million from Pantera Capital and investors to accelerate development. The company plans to ship its first ten OM1-powered robotic dogs by September for testing.

OpenMind’s vision is ambitious. The company will deploy 10 robotic dogs powered by OM1 this September. Feedback from users will guide rapid improvements, with OpenMind aiming to match robot capabilities with human needs.

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Prompt:

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