Good morning, AI enthusiast.

A new collaboration between OpenAI and Retro Biosciences has resulted in a major breakthrough for regenerative medicine. Their custom-trained AI designed novel proteins that accelerate a key biological process by more than 50 times.

This achievement demonstrates the power of domain-specific models to tackle highly complex scientific challenges. With AI now capable of exploring solutions far beyond human intuition, how quickly could this approach accelerate the development of new treatments for aging and disease?

In today’s AI recap:

• OpenAI’s 50x life science leap

• GPT-5’s new coding upgrades

• CEOs predict a 3-day AI workweek

• The new AI-powered hacking tool

• 8 trending AI tools

The 50x Life Science Leap

The Recap: OpenAI and Retro Biosciences developed a specialized AI that designed proteins to boost stem cell reprogramming efficiency by more than 50 times. This collaboration marks a significant advance in regenerative medicine and anti-aging research.

Unpacked:

• The breakthrough came from a custom model called GPT-4b micro, which was specifically trained on protein sequences, biological text, and 3D structural data.

• The AI-designed proteins achieved results in just 7 days in some tests, a major speed-up from the three-plus weeks required by traditional methods with less than 0.1% efficiency.

• Instead of making minor tweaks, the model generated proteins that differed from the originals by over 100 amino acids, exploring a vastly larger range of potential solutions.

Bottom line: This work shows how domain-specific AI models can solve complex biological problems much faster than conventional research. This approach could significantly shorten the timeline for developing new therapies for aging and disease.

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AI Tools of the Day

1. 🧑‍💻 Wordware – Build powerful, multimodal AI applications using only natural language prompts instead of writing complex code.

2. 🎨 Galileo AI – Instantly generate editable, high-fidelity UI designs from simple text descriptions and export them directly to Figma.

3. 🎬 ModifyVideo.ai – Transform the entire style or background of your videos with text prompts while keeping the original motion and expressions perfectly intact.

4. 🌎 Ditto – Dub your video content into dozens of languages while perfectly preserving the sound and style of your original voice.

5. 🕺 Kinetix Tech – Turn any video clip into a custom 3D animation or emote for avatars in games and virtual worlds without needing animation skills.

6. 🦉 OwlityAI – Deploy an autonomous AI QA tester that creates, executes, and maintains its own test suites for your software projects.

7. 🧮 Text to LaTeX – Convert plain English descriptions or images of complex mathematical formulas into perfectly formatted LaTeX code.

8. 🧠 Zemith – Access and switch between top AI models like GPT-4, Gemini, and Claude within a single unified chat and research workspace.

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GPT-5 Gets a Coding Degree

The Recap: OpenAI has officially rolled out GPT-5-Codex, a version of its latest model specifically optimized for agentic coding tasks. The new model promises more dynamic thinking time, better refactoring, and automated code reviews.

Unpacked:

• It dynamically adjusts its thinking time based on task complexity, running for up to seven hours on challenging problems.

• Developers can now get an automated review directly in GitHub by tagging @codex in a pull request comment.

• The model shows a significant performance boost in code refactoring, with internal scores jumping from 33.9% to 51.3% on evaluation benchmarks.

Bottom line: Tools like GPT-5-Codex are moving AI from a simple code generator to an active collaborator in the development process. This allows developers to offload tedious tasks and focus more on high-level system design and creative problem-solving.

AI Training

How to Automate Your Web Scraping in LLM-Ready Format (n8n + Firecrawl + rss.app)

The Recap: We just posted our very first (of many!) AI automation training videos on YouTube. In this video, we walk through how to use n8n, firecrawl, and rss.app to scrape virtually any piece of web content and transform it into LLM-ready output.

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The 3-Day AI Workweek

The Recap: Zoom CEO Eric Yuan has joined a growing chorus of tech leaders, including Bill Gates and Jensen Huang, in predicting that AI automation will soon enable a three or four-day workweek for many professionals.

Unpacked:

• This vision is shared across the industry, with Nvidia's CEO Jensen Huang eyeing a four-day week and JPMorgan's Jamie Dimon having predicted years ago that technology would lead to a 3.5-day schedule.

• Yuan acknowledges the downside, admitting some jobs will be eliminated in what he calls a technology paradigm shift, creating new roles focused on managing AI agents and systems.

• Early trials support the productivity argument, with one U.S. company cutting its workweek by a day and seeing employee burnout get cut in half while productivity jumped by 24%.

Bottom line: The conversation among top executives is rapidly shifting from if AI will alter jobs to how it will fundamentally restructure the workweek. This signals a future where efficiency gains could redefine our entire relationship with work.

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The AI-Powered Hacker

The Recap: A new AI-powered penetration testing tool from China called 'Villager' is raising alarms across the cybersecurity community. A deep dive from Straiker shows how it automates complex cyberattacks using autonomous agents, creating a powerful dual-use weapon.

Unpacked:

• Villager combines the popular Kali Linux hacking toolset with DeepSeek AI models to create autonomous agents that manage entire attack workflows.

• The tool's rapid adoption is clear, with over 11,000 downloads from the official Python Package Index (PyPI) in just over two months.

• Experts compare it to Cobalt Strike, a legitimate security tool now widely abused by criminals, fearing Villager will follow the same path.

Bottom line: This tool significantly lowers the skill needed to execute advanced cyberattacks, potentially turning novices into capable threats. It marks a shift toward AI-native offensive tools that will force a major adaptation in defensive security strategies.

The Shortlist

Dueling studies revealed that ChatGPT is primarily used for personal tasks, while Anthropic's Claude is favored for business and coding, highlighting an emerging market split between the rival models.

NewsGuard found in an audit of 10 leading AI tools that their rate of repeating false information has nearly doubled in one year to 35%, as models increasingly pull from a polluted online information ecosystem.

Oracle secured a reported $300 billion contract with OpenAI to provide cloud computing power over five years, signaling a massive infrastructure investment to support the scaling of AI models.

Signing off,

David, Lucas, Mitchell — The Recap editorial team