AI’s fertility breakthrough arrives

Good morning, AI enthusiasts. After 18 years and 15 failed IVF cycles, one couple’s journey to parenthood seemed unattainable — until AI looked where humans couldn’t.

Columbia University’s AI system just achieved its first pregnancy, using astrophysics algorithms designed for space to create an economical method that might transform fertility treatment for couples worldwide.

Reminder: Our next workshop is today at 4 PM EST — join and learn the best way to wire MCP into each conversational AI and your favorite coding IDEs. RSVP here.

In today’s AI rundown:

• AI helps a pair conceive after 18 years

• Meta chatbots to message users first

• Construct your individual AI app with Claude Artifacts

• What an actual ‘AI Manhattan Project’ could appear to be

• 4 latest AI tools & 4 job opportunities

LATEST DEVELOPMENTS

AI & MEDICAL BREAKTHROUGHS

🍼 AI helps a pair conceive after 18 years

The Rundown: Columbia University doctors achieved the primary pregnancy using an AI system called STAR, which helped a pair conceive after an 18-year struggle by discovering viable sperm in a person with severe infertility.

The main points:

• STAR uses AI to scan semen samples from men with azoospermia, a condition with nearly zero measurable sperm, as an alternative of the everyday 200-300M cells.

• The system scanned 8M microscopic images in under an hour, locating 44 cells, whereas human technicians found zero after two days of searching.

• Columbia’s team developed the approach over five years, adapting astrophysics algorithms for brand new stars to detect microscopic reproductive cells.

• STAR is simply used on the Columbia University Fertility Center for now, with an estimated $3K cost in comparison with as high as $15-30K for a single IVF cycle.

Why it matters: Fertility rates are plunging across the globe — and for a lot of, the prices for expensive cycles of IVF treatments (which don’t guarantee success) are an insurmountable barrier. With STAR and latest AI-driven systems, doctors can hopefully provide solutions to infertility at a more accessible price to hopeful parents.

TOGETHER WITH INNOVATING WITH AI

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META

💬 Meta chatbots to message users first

The Rundown: Meta is training customizable AI chatbots that send unprompted messages inside its messaging apps, in accordance with a brand new report from Business Insider, hoping to extend engagement and user retention with the proactive companions.

The main points:

• Data labeling firm Aligner helps develop the bots, which may remember past chats and maintain consistent personas like movie critics and chefs.

• Chatbots created through Meta’s AI Studio can initiate conversations inside 14 days of user contact, requiring five prior messages to activate the feature.

• Meta confirmed testing shows bots won’t proceed messaging without user responses, limiting outreach to 1 follow-up per conversation thread.

• Court documents revealed Meta projects generative AI products will generate $2-3B in revenue by 2025, potentially reaching $1.4T by 2035.

Why it matters: It was only a matter of time before AI began being more proactive with messaging, nevertheless it’s an area that should be tread very frivolously. While on the surface, it could appear more “human” to have a bot message first, it could quickly grow to be cringey and spammy if not implemented appropriately.

AI TRAINING

✍️ Construct your individual AI app with Claude Artifacts

The Rundown: On this tutorial, you’ll learn the best way to use Claude Artifacts’ latest API integration to create custom AI-powered tools directly inside Claude.

Step-by-step:

1. Click the artifacts button on Claude‘s left sidebar after which “Latest artifact”

2. Use a prompt that requests AI tool capabilities, e.g., “Create a grammar AI checker with two text areas (Original vs Fixed text) and a ‘Fix Grammar’ button.”

3. Customize with additional features: “Add word count and alter highlighting”

4. Test with sample text and save to your artifacts library for future use.

Pro tip: Your custom AI tool uses Claude via API, without you needing to set all of it up.

PRESENTED BY WARP

🏆 Warp surpasses Claude Code on T-Bench

The Rundown: Warp just launched the primary Agentic Development Environment, and it’s already surpassed Claude Code by over +20% on Terminal-Bench — also scoring 71% on SWE-bench Verified to make it the perfect performing AI coding agent available on the market.

Warp pulled ahead using:

• Long-running commands — something no other tool can support

• Agent multi-threading, running multiple agents in parallel, all under your control

• Deployment across the complete development lifecycle

Try Warp’s state-of-the-art coding agent for yourself — download at no cost.

AI RESEARCH

🏗️ What an actual ‘AI Manhattan Project’ could appear to be

The Rundown: Research Lab Epoch AI just published an evaluation of what a U.S.-led AI Manhattan Project could appear to be, believing the initiative could significantly speed up progress and achieve a ten,000x increase in AI training scale over GPT-4 by 2027.

The main points:

• Researchers modeled a national AI project after historical efforts just like the Apollo program, involving government leadership and private-sector resources.

• An investment level just like the Apollo program’s peak would fund an estimated 27M GPUs and train a model 10,000x larger than GPT-4 by late 2027.

• The US-China Economic and Security Review Commission beneficial a Manhattan Project AI program, calling it a top priority for achieving AGI.

• Epoch estimated massive power needed, suggesting leveraging the Defense Production Act and other national efforts to hurry power plant construction.

Why it matters: The AGI/ASI race isn’t any longer just a company competition, but a world sprint to mobilize resources for energy and AI infrastructure. Identical to major national efforts of the past (Apollo, Manhattan Project), being the primary country to realize this technological milestone will hold humanity-altering implications.

QUICK HITS

🛠️ Trending AI Tools

• ⚙️ Cursor – 1.2 update with latest agent planning, higher context, and faster Tab

• 🎥 Veo 3 – Google’s SOTA video model, now available globally to Pro users

• 🧠 Treequest – Sakana AI’s code to team up LLMs on complex problems

• 💻 DeepSWE – Together AI’s open-source, SOTA software engineering agent

💼 AI Job Opportunities

• 🎨 Hume AI – Senior/Staff Product Designer

• ✉️ Grammarly – Lifecycle Marketing Operations Specialist

• 🛡️ Glean – Senior Site Reliability Engineer

• 🧑‍💼 Dataiku – Talent Strategist

📰 All the pieces else in AI today

OpenAI co-founder Ilya Sutskever formally announced that he might be taking up the role of CEO for SSI, following the departure of Daniel Gross to Meta.

Together AI open-sourced DeepSWE, a coding agent that achieves SOTA results for open-weight agents on SWE-Bench-Verified for software tasks.

Higgsfield introduced Soul Inpaint, a brand new image editing tool allowing users to make granular changes to then mix them with video and motion control.

Replit released Dynamic Intelligence, latest features for its agentic coding tool that enhance context awareness, reasoning, and autonomous behavior.

xAI’s Grok updates will reportedly include a “Games” option to construct and create games, with Grok-4 expected to be released next week.

ByteDance researchers released X-UniMotion, a brand new framework that animates still images with extremely realistic whole-body, hand, and facial motion.

COMMUNITY

🎥 Join our next live workshop

Join our next workshop today at 4 PM EST with Dr. Alvaro Cintas, The Rundown’s AI professor. By the tip of the workshop, you’ll confidently wire MCP into each conversational AI and your favorite coding IDEs.

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