{{first_name | Leader}}, welcome back. Today’s updates:
Elf Labs Merges Classic Characters with AR to Power AI-Driven Kids' Worlds
Ultrahuman’s AI Predicts Your Future Health
xAI Eyes $4B To Build AGI Rival
Groq Makes AI Models Lightning Fast
Practical tools + must-read resources. Dive in ⬇️
IN PARTNERSHIP
Quick question: What happens when you combine:
100+ trademark victories for characters like Cinderella & Snow White
Patented AR technology (no clunky headsets required)
A $350B licensed merchandise market
A team with $6B+ in licensing deals
Answer: You get Elf Labs—the company building AI-powered 3D worlds where kids can have real-time conversations with their Rapunzel doll or play hide-and-seek with Cinderella–right in their living room!
They're targeting the $2T entertainment market, and for a limited time, you can invest in their vision.
NEWS UPDATES
Ultrahuman’s AI Can Predict Long-Term Health
Ultrahuman has launched a new AI product called 'Cortex' that claims to forecast your health future based on biomarkers, lifestyle data, and wearable input. The service costs $800/year and aims to shift health optimization from reactive to proactive, helping users understand disease risk and aging patterns early.
This signals a growing shift in wellness tech. Expect a wave of predictive tools targeting employee wellbeing, insurance incentives, and performance optimization. It may also raise questions around health data ethics and personalized benefit programs.
xAI Seeks $4B to Compete with OpenAI
Elon Musk’s AI startup, xAI, is reportedly in talks to raise $3–4 billion in equity funding. The capital would be used to advance its frontier AI model, Grok, and build out infrastructure to compete with OpenAI, Google, and Anthropic.
If secured, this will be one of the largest AI funding rounds to date. This shows the AGI race and the need to adopt early. It’s a reminder to evaluate your AI stack, cloud partners, and vendor dependencies.
Groq Supercharges Hugging Face Speeds
Groq has partnered with Hugging Face to dramatically speed up inference time for open-source AI models. Its new LPU (Language Processing Unit) hardware outperforms traditional GPUs on tasks like summarization and chat, making generative AI faster and more affordable.
This could lower costs and latency for AI use across internal tools, customer support, and product features. As speed becomes a competitive edge, businesses may start weighing performance-focused vendors like Groq over big cloud players like AWS or Google.
BEST LINKS
Productivity Tools
🛡️ BMC Helix AIOps - What if your IT stack could think? Meet BMC Helix AIOps for smoother operations.*
🧓 FuturePlan – Enables tailored retirement solutions that optimize tax benefits for executives, advisors, and business owners.
🎨 Plus AI – Automates slide creation for faster, on-brand presentations across executive and sales teams.
🎬 Capsule – Speeds up video content production for marketing teams with AI-assisted workflows.
Get featured tomorrow: How do you use AI for business/personally? Interesting stories will be shared with 100K curious readers.
Useful Resources
Automatically summarize Slack threads with AI (link)
Generate AI images via ChatGPT on WhatsApp (link)
How Chipotle scales mobile demand with cloud infrastructure (link)
Amazon to cut jobs as AI drives operational efficiency, says CEO (link)
ChatGPT now connects to MCP servers: Setup guide and key risks (link)
STRATEGIC AI DECISION
When should you build internal AI tools instead of buying off-the-shelf?
MARKET
💰 Funding
Definely raised $30M for global expansion and AI legal tech.
ai.work raised $10M for its AI worker platform.
💼 Who’s Hiring in AI
🐦 From 0 to $13B in 2 hours!
This guy literally dropped a 2-hour masterclass on going from 0 to $13B
— #Aadit Sheth (#@aaditsh)
2:02 AM • Jun 18, 2025
PROMPT TUTORIAL
Cross-Functional Collaboration Framework
Create a cross-functional collaboration strategy that aligns shared KPIs, defines clear ownership, and leverages AI tools for task prioritization and communication clarity. Focus on reducing silos, increasing transparency, and accelerating execution velocity. Adapt the framework for a [Team Structure or Company Type], aimed at achieving [Collaboration Outcome], and designed to be reviewed and refined on a [Review Cycle Timeline].
Team Structure or Company Type: [Insert here]
Collaboration Outcome: [Insert here]
Review Cycle Timeline: [Insert here]
P.S. You can still get the Prompting Playbook (free for you)
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.