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AI agents are merging PRs, replacing dev interns, and forecasting your diseases up to 20 years in advance. Why coding is still the most consistent sign of true AI progress?
What are on FIRE 🔥
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AI INSIGHTS
AI models can write poems, explain science, solve math… but where are they consistently better each year? → Coding. Always coding. Here’s how it looks:
2021 → GitHub Copilot: Tab to complete
2022 → ChatGPT: Write scripts for you
2025 → Claude Code & Codex CLI: Build mini-projects, fix bugs, submit PRs
2027? → Autonomous agents managing entire production codebases
Each step added new capability without changing how you use it so most people didn’t notice. But now, you hand them a repo, let them run, and watch magic happen. Projects like PRArena and Agents in the Wild show:
Over 1M PRs merged from Codex Web Agent
Claude Code has 20× more NPM downloads than Codex CLI
Codex PRs merge at 80%+ rate even from first-time users
That’s real output. You don’t hear “AI coding agent writes blog post” headlines. You feel it when you don’t need to open your IDE for every task anymore.
Why it matters: Coding is the canary for AGI. Autonomous software generation is already happening, just not in chat windows. Codex vs Claude Code is more about packaging, but both are way ahead of Copilot.
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So why is coding a key signal of AI progress? |
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TODAY IN AI
AI HIGHLIGHTS
🍌 You can merge multiple photos, with more than 2 people, and control the exact pose and aesthetic you want with Nano Banana now. Here's an example & pro tips.
📨 We found that this prompt turned ChatGPT into what it should be: clear, accurate, and to the point. Highly recommended for you. You can customize or copy it here.
🛠️ IYKYK, you can toggle GPT-5’s thinking time for faster or smarter answers (web-only option). Because sometimes thinking speed isn’t everything. Here’s how to do it.
🐛 If you caught Claude being nerfed recently, turns out it wasn’t. Anthropic released a post-mortem explaining 3 overlapping infra bugs. All fixed now in the report.
💥 Yesterday, Meta’s live demo failed for the entire minute on stage with key tasks and left the audience unimpressed. But Meta deserves credit for trying this live demo.
💰 AI Daily Fundraising: Databricks raised $1B and launched an AI Accelerator Program for early-stage startups, offering $50,000 in platform credits, and support.
AI SOURCES FROM AI FIRE
NEW EMPOWERED AI TOOLS
✨ HeyGen Video Agent creates customized & finished videos
⚙️ Eikona turns ideas into images and edit them instantly
📝 Journalist Hunt gets 100k+ journalists to get published
🔍 Hoverify is an all-in-one browser extension for designers
AI QUICK HITS
🌟 Gemini in Chrome is now default for all U.S. users (even mobile)
🌐 Microsoft will spend $80B on AI data centers worldwide by 2028
🎹 An AI artist just signed an actual multi-million dollar record deal
🎓 China is teaching kids AI from age 6 to grow future tech leaders
🧾 China's DeepSeek says its AI model cost just $294,000 to train
AI CHART
Imagine an AI that predicts what could go wrong 20 years from now. That’s Delphi-2M, a new AI system developed by European researchers that can forecast your risk for 1,258 diseases using just your medical records.
Delphi-2M was trained on a huge dataset from 400,000+ UK patients from:
Doctor visits
Hospital records
Lifestyle choices
It then learned to connect the dots between conditions, spotting warning signs before they’re obvious. To make sure it wasn’t hallucinating, researchers ran it on 1.9 million Danish patient records. It scans your whole health map:
It helps doctors move from reacting to symptoms → anticipating risks
Could lead to personalized prevention plans instead of just reactive care
Delphi-2M might not replace your doctor, but it could redefine what a check-up even means. You still need human doctors to interpret the predictions!
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The AI Fire Team
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