The AI aiming to ‘solve all diseases’

Good morning, AI enthusiasts. “Solving all diseases” feels like Silicon Valley hype — until you realize the corporate making the claim has $600M in funding and a Nobel Prize-winning technology.

Google DeepMind spinoff Isomorphic Labs is ready 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 latest AI tools & 4 job opportunities

LATEST DEVELOPMENTS

ISOMORPHIC LABS

💊 Isomorphic Labs’ AI-created drugs near human trials

The Rundown: Alphabet’s AI-powered drug discovery company, Isomorphic Labs, is preparing to start out its first human clinical trials for its AI-designed cancer drugs, with an ultimate goal of “solving all diseases.”

The small print:

• The DeepMind spinoff has spent 4 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 each in-house drug candidates and major multi-billion dollar partnerships with Novartis and Eli Lilly.

• The corporate envisions making a “drug design engine” that might eventually generate treatments on demand to “solve all diseases.”

• Human dosing is anticipated to start soon, with oncology as the primary 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 technique to a faster, more precise era where AI can design latest treatments that get tested via simulations before entering the lab. “Solving all diseases” is a utopian vision — but a minimum of one Nobel Prize winner agrees that it’s 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 price 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.

On this live session, you’ll discover:

• What’s modified (and what hasn’t) about how teams construct trust through security

• Deep insights from Vanta’s data research team

• Suggestions for a way high-maturity organizations are scaling security through AI

• Tactical advice for getting buy-in and making measurable progress

Register here.

HUAWEI & ALIBABA

🔥 Chinese giant under fire over model copying

The Rundown: Chinese giant Huawei’s research arm is pushing back on accusations that its latest Pangu Pro model was copied from Alibaba’s Qwen 2.5, coming after whistleblowers posted technical evaluation showing similarities between the 2 systems.

The small print:

• A GitHub group called HonestAGI initially published (now deleted) findings accusing Pangu of getting an “extraordinary correlation” with Qwen 2.5-14B.

• Huawei’s Noah Ark Lab denied the claims, saying Pangu was independently developed and the primary system built on the corporate’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 as much as 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 certainly one of their biggest competitors?

AI TRAINING

🔧 Get code documentation in AI coding assistants

The Rundown: On this tutorial, you’ll learn the right way to use Context7 MCP to attach your AI coding assistant to real-time, version-specific documentation, eliminating outdated code examples and hallucinated APIs.

Step-by-step:

1. Open Cursor Settings and choose “Tools and Integrations”

2. Click “Add latest global MCP server” and paste the Context7 configuration URL found here

3. Test with a project prompt: “Create a React to-do list application. use context7”

4. 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 as a substitute of outdated training data.

PRESENTED BY RETELLIO

🤝 Meet your AI Product Manager

The Rundown Retellio’s AI Product Manager finds essentially the most common bugs and have requests in your customer conversations, writes PRDs, and sends them to AI coding agents like Cursor — so that you get pull requests that mechanically fix real issues and get work done.

Retellio’s AI Product Manager can:

• Take heed to your customers across your calls, tickets, etc. to capture feedback

• Surface an important problems and draft specs on demand

• Collaborate with Cursor to auto-deploy pull requests for lightning-fast bug fixes

Get your invite today.

AI RESEARCH

💼 AI takes the wheel for managerial decisions

The Rundown: A brand 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 find out raises, promotions, and firings with minimal oversight or training.

The small print:

• Resume Builder surveyed 1,342 managers and located that 78% use AI to find out raises, 77% for promotions, and 64% for terminations.

• ChatGPT dominated as the first tool for 53% of AI-using managers, followed by Microsoft Copilot at 29% and Google Gemini at 16%.

• One in five managers also often 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 guage whether AI could replace their team members, with 43% following through on replacements.

Why it matters: AI is already entrenched within the managerial department — but just as entry-level jobs have been the primary 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 wide range 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

📰 All the things else in AI today

Elon Musk revealed that xAI’s highly-anticipated Grok 4 model might 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 brand new 3D AI model designed for skilled 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 less expensive alternative to Nvidia.

Several publishers filed an EU antitrust grievance 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 ninth at 3 PM EST with Tomek Sułkowski, Founding Engineer and DevRel Lead at Bolt. By the top of the session, you’ll confidently construct 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