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- 🐴 AI is the Horse in the Hospital
Read time: 5 minutes
Wait… there’s a periodic table for machine learning now? We’ll see a future where AI creates new AI, systematically, not accidentally, not from human. And now, it’s easier to explain why a model works and how it got there.
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AI INSIGHTS
This ranking tracks the most popular AI use cases as sourced from an analysis done by Marc Zao-Sanders for Harvard Business Review. After reviewing thousands of online forum posts, the report ranks the top 30 ways people actually use AI.
It turns out that AI can assist humans in managing both emotions and their life.
Top AI Use Cases in 2025 (Top 5):
🧠 Therapy & Companionship - Manage stress, loneliness, and even mental health concerns. AI is better than a bestfriend?
📅 Organize Life - Help people stay on top of their day-to-day lives.
🧭 Find Purpose - Surprisingly, people are turning to AI to reflect on big life questions and get motivation or clarity.
📚 Enhance Learning - AI is a go-to tool for studying, as expected.
💻 Generate Code - Obviously, we see “vibe-coding” trend with hundreds of AI tools now.
What’s most surprising is that people are using AI primarily for emotional support and meaning, Search and research uses fell dramatically, dropping 10 ranks. But there's a warning: using AI instead of real human relationships could make loneliness worse.
Why It Matters: AI is quietly filling a human gap. In a world where mental health care is expensive, and real-life support systems are stretched thin, people are saying, “I’ll talk to the AI instead”. That’s hopeful but also kind of heartbreaking, right?
Guys, would you talk to AI instead of your real best friend?What else do you use AI for the most? |
TODAY IN AI
AI HIGHLIGHTS
🤥 AI has come for the horse in the hospital. “You can't lick a badger twice” - Google’s AI Overview is being tricked to make up nonsensical idioms. That sounds like a logical idiom — if only it weren't poppycock.
🔥 Microsoft 365 Copilot’s Spring release with reasoning, 4o image generation, Agent store, Notebooks. It redesigns the new face of Human-Agent collaboration.
📵 Google is in hot water for allegedly blocking Perplexity AI's deal with Motorola, even though both wanted it - a “Gun to Your Head”.
💊 The Microsoft-supported non-profit Foundation 29 just dropped DxGPT that lets you input your symptoms to get a list of possible diagnoses, even for rare illnesses.
⚖️ Perplexity also wants to buy Chrome. But it prefers Google keep Chrome rather than OpenAI acquiring it. Seems like everyone is trying to compete with OpenAI and wants to be the AI king.
🤖 Nvidia’s AI assistant G-Assist now has plugins to control Spotify, check Twitch, get weather and stock updates, and more — all hands-free on your PC.
💰 AI Daily Fundraising: New VC firm CIV raised $200M to back early-stage U.S. startups in AI, energy, and manufacturing. Past cleantech losses ($25B+ from 2006–2011) drive today’s smarter, sector-focused investing.
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NEW EMPOWERED AI TOOLS
🧱 Super Builder 2.0 is a free drag-and-drop website building template for Notion.
🎬 Descript agentive video editing to “vibecode” any video you want.
🚀 spring.new beta is an AI agent that instantly builds your dream SaaS.
🧠 Character AI drops AvatarFX, an AI video model to create lifelike chatbots.
💸 Peek is an AI personal finance coach that guides you through decisions.
AI QUICK HITS
🖼️ Genspark just lets you generate slideshows by “simply typing a topic”.
🤖 Nvidia rolls out NeMo microservices to build custom AI Agents.
📱 Perplexity’s AI voice assistant is now available on your smartphone.
💻 Amazon’s SWE-PolyBench exposed the dirty secret about your AI coding agents.
🕶️ Meta AI rolls out live translations to all Ray-Ban smart glasses users.
AI CHART
Researchers at MIT have introduced a groundbreaking concept - a "periodic table of machine learning" that connects over 20 classical algorithms and offer a powerful tool for scientists to fuse existing ideas, and even create entirely new algorithms.
Turns out, a bunch of classic AI methods are all doing the same thing, just in different ways. And it means we’ve been reinventing the same thing over and over without realizing it.
By mixing two old ideas, the team made a new image classifier that outperforms top models by 8%.
The table has gaps like “blank tiles” waiting for someone to invent what fits. Missing pieces = New discoveries?
I-Con (the new framework) makes it easier to remix and level up existing models.
Instead of reinventing the wheel, researchers can now build better AI faster just with a map like this.
This makes me think of a future where AI creates new AI, systematically, not accidentally, not from human. And now, it’s easier to explain why a model works and how it got there.
Just from this table, we believe every connection between two algorithms is a story. That’s 100+ stories to unpack.
AI JOBS
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Cheers,
The AI Fire Team
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