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- We Asked AI for the Forecast. It Replaced the Meteorologist.
We Asked AI for the Forecast. It Replaced the Meteorologist.
Aardvark weather model, DeepSeek’s GPT-4 rival, H&M’s AI twins, AI in healthcare, tools & jobs

AI’s replacing forecasters now. At this rate, we’ll all be influencers or unemployed by June.
Hello, AI enthusiasts!
"The best way to predict the future is to invent it."
— Alan Kay, Computer Scientist
Today’s Agenda:
AI predicts the weather — in seconds, not hours
China’s DeepSeek challenges GPT-4 with leaner tech
H&M launches AI-generated models — with consent
Doctors get an AI copilot — backed by $55M
Feature: ChatGPT’s new built-in image generator
Top 5 AI tools to try this week
Top-paying jobs in AI & tech — hiring now
Steal Our AI Starter Kit – Free Download Inside
Breaking News
Latest Development in AI
AI Reimagines Weather Forecasting
Cambridge and Microsoft unveiled Aardvark, an AI model that generates full 10-day forecasts in seconds — without supercomputers. It’s fast, accurate, and a game-changer for global forecasting access.Smarter AI Without the Heavy Lifting
DeepSeek’s new open-source model, V3-0324, rivals GPT-4 in reasoning and coding tasks — but uses a fraction of the compute.AI-Generated Models—with Consent
H&M is now producing AI-generated “digital twins” of real models (with full permission) to speed up ad campaigns and reduce production costs — ethically reshaping how fashion uses AI.Navina Raises $55M to Help Doctors Work Smarter
Navina’s AI copilot for physicians just raised funding from Goldman Sachs. It integrates with EHRs to flag diagnoses, risks, and key insights — giving doctors a real-time second brain.
AI + Weather
🌦️ Reinventing Forecasting with AI
Researchers have developed Aardvark, an AI-powered weather model that dramatically outperforms traditional forecasting systems in speed and efficiency. Built with open-source architecture and optimized for low compute environments, Aardvark can generate full weather forecasts in seconds—something that normally takes hours on expensive supercomputers.
Fast Facts:
Built for Speed: Generates full 10-day forecasts in under a minute.
Open Source: Freely available, allowing global adoption and innovation.
Low Compute Needs: Can run on consumer-grade GPUs or cloud instances—no supercomputer required.
Why It Matters:
Democratized Forecasting - Opens the door for developing nations to access accurate, real-time weather prediction.
Faster Disaster Response - Quicker modeling could save lives during extreme weather events.
Sustainable Tech - Uses a fraction of the energy traditional models consume, making it greener and more scalable.
AI Replacing Legacy Systems - Aardvark signals how AI will disrupt not just software, but science itself
Aardvark doesn’t just forecast weather—it forecasts the future of AI’s role in global infrastructure. From climate to crisis response, this is a glimpse of how smarter models will replace older systems across industries.
DeepSeek V3-0324
🧠 Smarter AI Without the Heavy Lifting
Chinese startup DeepSeek just dropped V3-0324, a new open-source language model that’s raising eyebrows for all the right reasons. Instead of chasing massive scale like OpenAI or Google, DeepSeek is going lean — using a Mixture-of-Experts architecture that activates only 37B of its 685B parameters per task. The result? A model that’s fast, efficient, and seriously capable. In early tests, V3 outperforms GPT-4 in reasoning, holds its own in coding (especially front-end dev tasks), and is smart enough to navigate complex, multi-step problems. It’s also surprisingly accessible — available on Hugging Face and built to run with far less compute than most frontier models.
Fast Facts:
Smarter Architecture: MoE model with 685B total parameters, 37B active per task
Reasoning-Optimized: Excels at multi-step problem solving and logic-heavy tasks
Tool-Aware Agents: Improved ability to invoke and use external tools intelligently
Frontend Dev Strength: Stronger performance in HTML, CSS, and JavaScript generation
Open Access: Available via Hugging Face and DeepSeek API
Why It Matters:
The AI Arms Race Is Splitting – While the West pushes scale, DeepSeek is carving out a lane with efficient, affordable intelligence.
Compute-Friendly Power – V3’s ability to perform at frontier levels without frontier infrastructure changes the game for startups and smaller orgs.
Agent-Ready Reasoning – This isn’t just about answering prompts — it’s about building AI that can plan, execute, and adapt in multi-step workflows.
Pressure from the East – As Kai-Fu Lee noted, China’s AI gap with the U.S. may now be as small as three months. V3 is a big part of why.
DeepSeek-V3-0324 isn’t loud, but it’s smart. And as the AI landscape shifts from "how big?" to "how usable?", it might be one of the most important models of the year.
Fashion AI Models
🧍♀️H&M’s Digital Twin AI Models
H&M is now creating AI-generated replicas of real models — with full consent — to streamline its fashion campaigns. These “digital twins” are trained on high-res images of actual models, allowing stylists and creative teams to generate entire photoshoots virtually, without anyone on set. It’s not about replacing people — in fact, models own their digital likenesses and can even license them out to other brands, including H&M’s competitors. It’s a faster, cheaper, and more flexible production pipeline — while still keeping real humans in the loop.
Fast Facts:
Ethical AI Use: H&M works directly with models and agencies to create likenesses with consent and transparency.
AI-Generated Photoshoots: Virtual models can be styled, posed, and photographed entirely in digital space.
Production Speed-Up: Reduces shoot times and travel costs while maintaining visual consistency across campaigns.
Part of a Larger Shift: Follows H&M Creator Studio’s AI clothing design tool released earlier this year.
Model-Owned Digital Twins: Models maintain full ownership of their digital twins, allowing them to license their AI likeness to other brands, including H&M's competitors.
Why It Matters:
The Digital Runway Is Here – AI-generated models mean fashion brands can move faster — from concept to campaign in days, not weeks.
Ethics Done Right – By involving real models and securing consent, H&M is setting a precedent for how to use AI without exploitation.
Massive Cost + Carbon Savings – No travel, no shoots, no reshoots. Just smart workflows and smart styling.
Changing the Creative Stack – Visual content teams will soon include AI specialists alongside stylists and editors.
This isn’t the end of real models — it’s the beginning of a new era in fashion production. One where AI amplifies creative control, speeds up output, and redefines what it means to show up in a campaign.
AI Healthcare Startup
🏥 Your Doctor’s AI Copilot Just Got Funded
Navina, an AI platform built to assist physicians with real-time diagnosis support, has raised $55 million in Series C funding led by Goldman Sachs. The tool integrates with electronic health record systems (EHRs), scanning massive amounts of patient data to surface what matters most — potential diagnoses, risk factors, and overlooked symptoms. It’s like giving every primary care doctor a second brain — one that never forgets a chart note or misses a pattern.
Fast Facts:
Used in 1,300+ Clinics: Already live across U.S. practices, focused on value-based care.
EHR Integration: Navina works inside existing systems to reduce friction for doctors.
Contextual Summaries: Surfaces the why behind each alert — not just a laundry list of flags.
Clinician-Centric Design: Built to reduce burnout, not add to the noise.
Why It Matters:
Real AI Utility in the Wild – Navina isn’t an R&D lab project. It’s already embedded in U.S. clinics, helping doctors make faster, more accurate decisions.
Healthcare Is Data-Rich, Insight-Poor – Doctors drown in patient data. Navina filters the noise and highlights what could actually save lives.
Fixing Burnout at the Source – By simplifying documentation and surfacing insights, it frees up time for patient care — not endless screen time.
A Template for AI in Other Industries – This isn’t just about medicine. It’s a glimpse at what real, high-context, domain-specific AI looks like.
Navina isn’t trying to replace your doctor. It’s trying to make sure they don’t miss anything that matters. And in healthcare, that’s the kind of AI we actually need.
✨Feature of the week
🔹 Tool: ChatGPT Image Generator (GPT-4o)
🔹 What It Does: Instantly turns text prompts into custom images—right inside ChatGPT.
🔹 Why It Matters: No more bouncing between apps or relying on third-party tools for quick visuals. It’s fast, intuitive — and one of the first AI image generators that nails text rendering. That means you can generate UIs, mockups, and branded graphics with actual readable text — not placeholder gibberish.
🔹 How to Use It: Go to chat.openai.com, type what you need and refine it in-chat.

Prompt: “an infographic explaining newton's prism experiment in great detail”
Use It For: Ads, landing pages, pitch decks, brand mockups, or even quick product visuals.
📌 Try it: chat.openai.com
🛠️ AI Tools of the Week
Devin AI: An autonomous AI software engineer that can plan, code, debug, and build full applications from natural language prompts.
UiPath: A leading RPA platform that automates repetitive digital tasks across enterprise workflows, helping teams save time and reduce errors.
Gamma: An AI-powered platform for creating stunning presentations and documents from simple prompts — no design skills needed.
Castmagic: An AI tool that turns audio and video into transcripts, show notes, social posts, and more — ideal for content creators and podcasters.
ClickUp AI: An all-in-one productivity workspace with integrated AI that helps teams write, plan, and manage projects more efficiently.
AI & Tech Jobs
Looking to make your next career move?
These AI companies are hiring:
Apple: AIML Research Engineer/Scientist – Special Projects – Research and build novel AI/ML systems with real-world impact, focusing on long-term ambitious initiatives.
United Airlines: Senior Product Manager – Gen AI – Drive the roadmap and execution of generative AI products aimed at transforming customer and employee experiences in aviation.
Google: Research Scientist Intern, PhD, 2025 – Conduct advanced AI research to support Google products and services, contributing to breakthroughs in large-scale machine learning.
Quora: Staff Machine Learning Engineer – Poe – Work remotely to advance Poe, Quora’s AI chat platform, by building and scaling machine learning models that improve performance, personalization, and user experience.
Free Resources to Increase Productivity
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📄 AI Starter Kit
📄 Prompt Starter Kit
📄 5 Practical Automation Workflows
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We’re not here to hype AI — we’re here to help you actually use it. Whether you’re testing out a new tool, trying to automate something tedious, or just trying to keep up with what’s happening, we hope this newsletter gave you something worth your scroll.
If it did, pass it along to someone who’s still asking, “Wait… what’s ChatGPT again?”
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Catch you in the next one,
— AI Innovations Hub