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- ⚠️ AI + Humans = Worse Outcomes?
Read time: 5 minutes
A major Oxford study just revealed that when most people use AI for medical help, they actually make worse choices than when they Google. What’s going on?
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AI INSIGHTS
LLMs can pass medical licensing exams. They can outscore real doctors.
But give them to an ordinary person with a stomachache? They might make things worse.
Researchers tested ~1,300 people using top LLMs like GPT-4o. Each person got a medical scenario and could use AI to figure out what to do. Here’s what happened:
When AI worked alone: 90–99% accuracy
When humans used the AI: only 34.5% got it right
A control group using just Google? 47% accuracy
Yup. Adding AI made people worse at diagnosing themselves. The cause = incomplete info + misinterpretation + ignored good advice.
→ Even when the LLM gave correct suggestions, people just... didn’t listen. (Only 1 in 3 used the relevant condition the AI mentioned.)
Turns out, medical professionals are using incredible AI tools and thriving with them. For example: OpenEvidence, a diagnostic engine trained only on peer-reviewed literature.
Apparently, 1 in 4 U.S. doctors use it.
On average? 10 times a day.
Especially in oncology and complex cases.
→ So clearly, AI can work. But only in the right hands.
Why It Matters: Maybe no one wants to be the first one sued when a chatbot makes a bad call. We don’t need a robot doctor. We need something in between what the AI knows and what the user needs. Because AI can save lives only if we design it to actually help people, not just ace a test.
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TODAY IN AI
AI HIGHLIGHTS
📚 If you’re just getting into AI, we highly recommend visit this AI Mastery AZ space where we share everything you need to know about the 27+ powerful, industry-leading AI tools in just hours.
🔉 ElevenLabs launched an AI assistant with app that lets you interact using just your voice. It easily connects to third-party apps like Slack, Perplexity. You can try for Free or watch its demo here.
🎬 A wild 30-second Kalshi ad made entirely with AI aired during the NBA Finals, sparking debate about the future of ads - at a fraction of the usual production cost. Watch it here.
⚠ 2 realistic, AI-generated Pro-Iran propaganda are flooding TikTok, Instagram, FB & YouTube with 30M+ views on TikTok alone. It was posted 100+ times on each site. You can watch one here.
📝 ChatGPT’s new features now include real-time document collaboration & speedy PDF export with citations to compete with rival Google Docs and Word for the web.
💰 AI Daily Fundraising: Abridge's AI app for doctors is now valued at $5.3 billion after a $300 million funding round led by Andreessen Horowitz and Khosla Ventures, with $800 million raised overall.
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AI QUICK HITS
✨ Here’re top 10 things humans consider normal that are absurd to an AI.
📸 This CapCut alternative is taking social media by storm. Waitlist’s coming.
📚 Anthropic using copyrighted books to train its AI is considered 'fair use'!?
🗺 Google dropped its AI mode, a Q&A-style search tool, to users in India.
🤖 NVIDIA launched tools to easily build AI robots like no-code solutions.
AI CHART
Google just dropped something big but quietly. It’s called Gemini Robotics On-Device, and it lets robots run AI models locally. And that’s a big deal.
Until now, most AI-powered robots needed to send signals back and forth to giant servers just to move an arm. Not anymore. This new Gemini model lives inside the robot.
But let’s rewind. Back in March, Google launched Gemini Robotics, a model that helped robots follow human commands using plain language. Great, but it lived in the cloud. Now? They’ve shrunk it down to run entirely offline, and it still holds up.
Google says the new on-device model performs almost as well as its cloud sibling, and it even beats unnamed rivals in benchmarks (yes, they left us guessing).
In live demos, robots using this new Gemini brain were doing surprisingly delicate stuff:
Unzipping bags
Folding clothes
Even handling new tasks they hadn’t seen before, like assembling parts on a moving belt
They’re releasing a full Gemini Robotics SDK, meaning developers can now fine-tune robot tasks using just 50–100 examples. Just show the robot what to do a few times. Everyone wants to be the “GPT” of robotics now.
AI JOBS
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The AI Fire Team
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