Good morning, AI enthusiasts. Microsoft's latest AI isn't here to replace your doctor — but it might just become their most valuable colleague.

With over 4x higher accuracy than human physicians and CEO Mustafa Suleyman calling it a "big step towards medical superintelligence," this new diagnostic tool is more proof that AI could be healthcare’s most powerful ally yet.

In today’s AI rundown:

• Microsoft’s ‘step towards medical superintelligence’

• Baidu’s open-source ERNIE 4.5 to rival DeepSeek

• Automate YouTube content creation with AI

• Chai Discovery's AI designs working antibodies

• 4 new AI tools & 4 job opportunities

LATEST DEVELOPMENTS

MICROSOFT

🏥 Microsoft’s ‘step towards medical superintelligence’

Image source: Microsoft

The Rundown: Microsoft just introduced the MAI Diagnostic Orchestrator, an AI system that achieves 4x higher diagnosis results than experienced doctors on some of medicine’s most challenging cases, marking a “step towards medical superintelligence.”

The details:

• MAI-DxO simulates a virtual medical team, with specialized AI agents handling hypothesis generation, test selection, and cost monitoring.

• Researchers created SDBench, a benchmark with 304 complex cases — with MAI-DxO, paired with OpenAI's o3, achieving the highest accuracy in testing.

• The MAI/o3 pairing solved 85.5% of cases correctly, with a group of physicians with 5-20 years of experience averaging just 20%.

• The AI system also resulted in cost savings over human doctors, spending $2,397 per case compared to an average of $2,963 for physicians.

Why it matters: A step towards “medical superintelligence” is a powerful statement, but MAI’s numbers compared to physicians are truly jaw-dropping. Plus, ordering fewer unnecessary tests and nailing tough diagnoses directly addresses healthcare's current paradox: the over-treatment of simple cases and under-diagnosis of complex ones.

TOGETHER WITH BASETEN

🚀 The platform for mission-critical inference

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BAIDU

🤖 Baidu’s open-source ERNIE 4.5 to rival DeepSeek

Image source: …

The Rundown: Chinese giant Baidu just open-sourced 10 versions of its new ERNIE 4.5 model family, including a 424B parameter multimodal system that outperforms DeepSeek V3 on key benchmarks despite being half the size.

The details:

• The models range from tiny 300M parameter versions to massive 424B systems, all available under Apache 2.0 licensing on Hugging Face.

• A “Heterogeneous” training architecture allows text and vision capabilities to reinforce each other rather than compete for resources for increased efficiency.

• Baidu's largest model beats DeepSeek V3 on 22/28 benchmarks, while its variants also compete with o1, GPT 4.1, and Qwen 3 across a variety of tasks.

• The release marks Baidu’s first move into open-source models, coming just a year after its CEO appeared against the route prior to the launch of DeepSeek.

Why it matters: While the U.S. has its AI rivalry between OpenAI, Google, and Anthropic, an intense one is also brewing between China’s giants. Baidu, ByteDance, Alibaba, Tencent, DeepSeek, and others continue to push the pace of model releases — and the quality of offerings that make up the top of the open-source charts.

AI TRAINING

🎬 Automate YouTube content creation with AI

The Rundown: In this tutorial, you will learn how to use Google's Gemini AI to analyze videos and automatically generate titles, descriptions, tags, and chapters — streamlining your YouTube content workflow.

Step-by-step:

1. Go to Google Gemini, click the attachment button, and upload your video file

2. Generate titles with: “Analyze this video and provide 10 compelling YouTube titles”

3. Ask it to provide you with a detailed video description with a hook, summary, and call-to-action.

4. Request it for tags as comma-separated values, plus chapter timestamps

Pro tip: Save these prompts as templates and customize the tone (professional, casual, energetic) to match your brand voice.

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• Connect external data enrichment to enhance GTM operations – Lead Enrichment Flow, Deep Research, Outreach Personalization, and E2E AI SDR Teams.

Sign up for your free API Key – start using the Explorium MCP Integration today.

AI & DRUG DISCOVERY

🧬 Chai Discovery's AI designs working antibodies

Image source: Chai Discovery

The Rundown: OpenAI-backed Chai Discovery announced Chai-2, an AI capable of creating functional antibodies for drug development, — nearing a 20% hit rate that marks a 100x improvement over methods that typically achieve less than 0.1%.

The details:

• The model designed antibodies against 52 different disease targets, finding successful treatments for half of them by testing just 20 candidates each.

• Traditional antibody discovery requires screening millions of candidates over months or years, with Chai-2 delivering results in just two weeks.

• Chai-2 works “from scratch,” creating completely new designs just by looking at a target's structure without needing any pre-existing examples.

• Chai researchers said the system is like "Photoshop for proteins," letting scientists specify exactly where antibodies should attach to disease targets.

Why it matters: AI’s role in drug discovery and molecular-level design is ramping up in a big way. With high R&D costs often leading to companies ignoring treatments for rare diseases, AI models can help cut the time and expense of finding new antibodies, giving patients access to precision medicines tailored to their conditions.

QUICK HITS

🛠️ Trending AI Tools

• 🧠 Hunyuan-A13B - Tencent’s new open-source hybrid reasoning model

• 🎇 Qwen VLo - Alibaba’s 4o-style model for image generation and editing

• 🎼 Songscription - Turning audio clips instantly into sheet music

• 🍎 NotebookLM - Now available via Gemini in Classroom for educators

💼 AI Job Opportunities

• 📞 The Rundown - Account Manager

• 🧠 OpenAI - Head of Pro Subscriber Community

• ⚡ Figure AI - Electrical Engineer Intern

• 📊 Meta - Data Scientist

📰 Everything else in AI today

RAISE Summit in Paris, July 8-9 — All things AI. Join SambaNova at booth #9, snag an invite to an exclusive soirée, and catch CEO Rodrigo Liang’s keynote on Open Source AI.*

Mark Zuckerberg introduced “Meta Superintelligence Labs” to employees, with Alexandr Wang and Nat Friedman leading 11 hires from OpenAI, Google, and Anthropic.

Apple is reportedly considering leveraging AI from Anthropic and OpenAI for the revamped Siri over in-house models, according to a new report from Bloomberg.

The Mayo Clinic unveiled StateViewer, an AI tool that analyzes brain scans to help identify nine different types of dementia at 2x the speed and 3x the accuracy.

Cursor launched new apps for mobile and browser, allowing users to manage and monitor agents via natural language outside of its IDE.

Google announced Gemini in Classroom, a suite of AI features and tools for educators for tasks like lesson planning, NotebookLM access, and student performance analytics.

*Sponsored Listing

COMMUNITY

🎥 Watch our latest workshop

Check out our latest workshop on how to build advanced n8n agents that react, research, and automate like pros, with Dr. Alvaro Cintas, The Rundown’s AI professor

Watch it here. Not a member? Join The Rundown University on a 14-day free trial.

See you soon,

Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team