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- 🤔 Is 27 AI’s Illuminati Number?
Read time: 5 minutes
We’ve entered a new software era where kids, poets, and even your grandma can “code” using plain English… and it actually works? Honestly, it's giving 1960s energy…
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AI INSIGHTS
Andrej Karpathy’s new “software is changing” talk is a must watch (or read - shout out to Donna Magi for sharing this transcript). The TL;DR is that “Software 3.0” is changing software development from a 5-10 year learning curve to immediate accessibility for billions of people.
Karpathy argues software has undergone two major transformations in just the past few years. And Hugging Face is the new GitHub for this era.
The old stack:
Software 1.0 = hand-written code (traditional programming).
Software 2.0 = neural networks (data + weights, not code).
Software 3.0 = LLMs you program with language, not code.
What’s wild about 3.0: You can build apps using English prompts, not Python. The product is the prompt, and anyone can write one.
Karpathy sees LLMs as “people spirits”. We’re in the Pre-PC Era for LLMs. We’re stuck in the 1960s. But the stack is forming. And you can “run” apps on different LLMs like you’d run software on Windows vs. Mac.
Everyone is now a programmer. “Vibe coding” opens the door for kids, creatives, and non-tech users. He’s very clear: This stuff is not production-ready without guardrails.
Why It Matters: Karpathy’s message is loud and clear. We’re building a new programming language, new interfaces, and even new end users (AI agents). This is the decade of Iron Man suits. The only question is ‘Are you building for humans, bots, or both?’
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TODAY IN AI
AI HIGHLIGHTS
📊 If your job can be measured, AI can automate it, including both “hard” & “soft” tasks. Yeah, AI might take your job, but here are 22 new ones it could give you back.
🎲 When you ask any AI for a ‘random’ number, it’ll weirdly give you 27 like it’s stuck in a math cult. Even bots have favorite numbers!? Here’re some theories explaining for you.
🧠 Sam Altman revealed OpenAI’s roadmap, and it’s all about making ChatGPT simple again. GPT-5 should probably arrive “this summer.” Watch OpenAI Podcast here.
🔥 You can’t just use AI models to ask for normal tasks all the time. See 9 mundane tasks ChatGPT can handle in seconds, saving you hours. We need to Chat(GPT).
🕵️♂️ Two watchdogs dropped the OpenAI Files with receipts on sketchy CEO moves, safety mess-ups & a business chart that looks like spaghetti. TL;DR: AGI kings getting audited.
💰 AI Daily Fundraising: OpenAI's GPT-5 development attracted $13 billion from Microsoft and potential $40 billion from SoftBank. Set for summer 2025, it promises faster AI training, enhanced capabilities.
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AI QUICK HITS
✍️ Here’s a prompt to stop chatbots from hallucinating & gaslighting you.
💵 This 96% ChatGPT discount is too good to resist if you run a small team.
🎥 Google used YouTube videos to train its AI without users’ consent…
🥋 Chinese studios reboot 100 kung fu classics with Bruce Lee hits using AI.
✂ Microsoft isn’t done cutting jobs yet, thousands more sales roles are next.
AI CHART
Despite all the hype around ChatGPT, Google still runs the internet’s search engine core. A new data snapshot shows that ChatGPT is pulling in 1 billion daily searches, not bad, but it’s still a speck compared to Google’s 13.7 billion.
That gap raises the big question: Will ChatGPT ever “pass” Google? The answer’s not so simple, and might depend more on how we define "search" in the AI era.
→ This makes direct comparisons (like search volume) interesting but a little apples-to-oranges.ChatGPT in the Shadow of the Search Giants:
Google’s daily search count is 13x more than ChatGPT.
ChatGPT now matches TikTok in raw query volume.
Amazon, LinkedIn, and even Pinterest have significantly higher engagement than ChatGPT, for now.
In other words, ChatGPT is being used more like a tutor or assistant, not a link aggregator → Users are shifting to a hybrid habit: Google for speed, ChatGPT for depth.
AI JOBS
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The AI Fire Team
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