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Good morning, {{ first_name | AI enthusiasts }}. "Solving all diseases" sounds like Silicon Valley hype — until you realize the company making the claim has $600M in funding and a Nobel Prize-winning technology.
Google DeepMind spinoff Isomorphic Labs is set to take its AlphaFold-powered treatments from computer simulations into human trials, chasing a vision where AI can generate cures on demand.
In today’s AI rundown:
Isomorphic Labs’ AI-created drugs near human trials
Chinese giant under fire over model copying
Get code documentation in AI coding assistants
AI takes the wheel for managerial decisions
4 new AI tools & 4 job opportunities
LATEST DEVELOPMENTS
ISOMORPHIC LABS
💊 Isomorphic Labs’ AI-created drugs near human trials
Image source: Midjourney / The Rundown
The Rundown: Alphabet's AI-powered drug discovery company, Isomorphic Labs, is preparing to start its first human clinical trials for its AI-designed cancer drugs, with an ultimate goal of “solving all diseases.”
The details:
The DeepMind spinoff has spent four years developing drugs using AlphaFold 3, an AI system for predicting protein structures and molecular interactions.
The team secured $600M in fresh funding in April, fueling both in-house drug candidates and major multi-billion dollar partnerships with Novartis and Eli Lilly.
The company envisions creating a "drug design engine" that could eventually generate treatments on demand to “solve all diseases.”
Human dosing is expected to begin soon, with oncology as the first clinical focus, and plans to license successful candidates after early trials.
Why it matters: If Isomorphic’s approach delivers, pharma’s previous trial-and-error model could give way to a faster, more precise era where AI can design new treatments that get tested via simulations before entering the lab. “Solving all diseases” is a utopian vision — but at least one Nobel Prize winner agrees that it is in sight.
TOGETHER WITH VANTA
🛡️ Live Event: Security, AI, and Trust
The Rundown: Vanta’s Trust Maturity Report proves mature security is a catalyst, not a cost center. Join Vanta and security researcher Matt Johansen on July 23 to dig into the report findings and explore what trust maturity looks like at every stage of growth.
In this live session, you’ll discover:
What’s changed (and what hasn’t) about how teams build trust through security
Deep insights from Vanta’s data research team
Tips for how high-maturity organizations are scaling security through AI
Tactical advice for getting buy-in and making measurable progress
HUAWEI & ALIBABA
🔥 Chinese giant under fire over model copying
Image source: Reve / The Rundown
The Rundown: Chinese giant Huawei’s research arm is pushing back on accusations that its new Pangu Pro model was copied from Alibaba's Qwen 2.5, coming after whistleblowers posted technical analysis showing similarities between the two systems.
The details:
A GitHub group called HonestAGI initially published (now deleted) findings accusing Pangu of having an “extraordinary correlation” with Qwen 2.5-14B.
Huawei's Noah Ark Lab denied the claims, saying Pangu was independently developed and the first system built on the company’s Ascend chips.
A whistleblower claiming to work at Huawei then posted on GitHub, alleging Pangu cloned third-party models while under pressure to catch up to rival labs.
Why it matters: The Chinese AI wave has felt more united than the deeper rivalries of closed Western leaders, but high-stakes domestic competition looks to be pushing teams towards ethical shortcuts. Will Chinese giants remain committed to the open-source push if their work is getting re-skinned by one of their biggest competitors?
AI TRAINING
🔧 Get code documentation in AI coding assistants
The Rundown: In this tutorial, you will learn how to use Context7 MCP to connect your AI coding assistant to real-time, version-specific documentation, eliminating outdated code examples and hallucinated APIs.
Step-by-step:
Open Cursor Settings and select “Tools and Integrations”
Click “Add new global MCP server” and paste the Context7 configuration URL found here
Test with a project prompt: “Create a React to-do list application. use context7”
Compare the updated, accurate code vs. generic AI responses
Pro tip: End every coding prompt with “use context7” to get real-time, version-specific documentation instead of outdated training data.
PRESENTED BY RETELLIO
🤝 Meet your AI Product Manager
The Rundown Retellio’s AI Product Manager finds the most common bugs and feature requests in your customer conversations, writes PRDs, and sends them to AI coding agents like Cursor — so you get pull requests that automatically fix real issues and get work done.
Retellio’s AI Product Manager can:
Listen to your customers across your calls, tickets, etc. to capture feedback
Surface the most important problems and draft specs on demand
Collaborate with Cursor to auto-deploy pull requests for lightning-fast bug fixes
AI RESEARCH
💼 AI takes the wheel for managerial decisions
Image source: Resume Builder
The Rundown: A new survey from Resume Builder found that 60% of managers are using AI tools to make critical business and personnel decisions, allowing the tech to determine raises, promotions, and firings with minimal oversight or training.
The details:
Resume Builder surveyed 1,342 managers and found that 78% use AI to determine raises, 77% for promotions, and 64% for terminations.
ChatGPT dominated as the primary tool for 53% of AI-using managers, followed by Microsoft Copilot at 29% and Google Gemini at 16%.
One in five managers also frequently allow AI to make final decisions without human review, despite most never receiving formal AI training or guidelines.
Nearly half of the managers were asked to evaluate whether AI could replace their team members, with 43% following through on replacements.
Why it matters: AI is already entrenched in the managerial department — but just as entry-level jobs have been the first to be automated, lower-level employees are again those being impacted by supervisors offloading decisions to ChatGPT. As models scale in intelligence, will owners automating managers out of the equation be next?
QUICK HITS
🛠️ Trending AI Tools
📄 Genspark AI Docs - Create a variety of document types with text prompts
📈 Context - AI office suite for working smarter, faster, and more efficiently
🗣️ Voicelab - High-performance API to run top open-source voice models
🔎 StepFun Diligence Check - AI-powered search with agent-verified citations
💼 AI Job Opportunities
🎨 Beautiful AI - Content Designer
📏 Figure AI - Metrology Technician
📊 Kumo - GTM Operations Manager
📣 Lakera AI - Director of Marketing
📰 Everything else in AI today
Elon Musk revealed that xAI’s highly-anticipated Grok 4 model will be released on Wednesday, July 9.
Anthropic published a Transparency Framework, pushing to require AI labs to release plans for assessing model risks, system cards, whistleblower protections, and more.
Tencent’s Hunyuan released Hunyuan 3D-PolyGen, a new 3D AI model designed for professional art-grade outputs for game development and artist modeling.
The Mayo Clinic introduced Vision Transformer, an AI system for detecting surgical-site infections quickly and accurately via photos during outpatient monitoring.
AI semiconductor startup Groq announced its first European data center in Helsinki, Finland, aiming to position its LPU chips as a cheaper alternative to Nvidia.
Several publishers filed an EU antitrust complaint against Google for its AI Overviews, saying the AI summaries are causing “significant harm” to traffic and revenue.
COMMUNITY
🎥 Join our next live workshop
Join our next workshop this Wednesday, July 9th at 3 PM EST with Tomek Sułkowski, Founding Engineer and DevRel Lead at Bolt. By the end of the session, you’ll confidently build and deploy scalable apps using Bolt.
RSVP 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
