🍎 WWDC 2026 is here!!! Today!!!. .
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Plus: How to Clone a $61K/Month YouTube Channel Using Claude Code Automation. This Claude + YouTube niche is getting millions of views.
We always assumed general AI models couldn’t compete with highly specialized tools built for hardcore science. But Opus 4.7 just completely shattered that narrative!?
What’s on FIRE 🔥
IN PARTNERSHIP WITH SLIDESPILOT
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AI INSIGHTS
🧪 Claude Opus 4.7 Beat Specialist Chemistry Software (Without Even Trying)
If you aren’t familiar, NMR software is the gold-standard expert tool chemists use to turn molecular structures into predicted lab spectra. It’s highly specialized, highly technical stuff. But Opus 4.7 completely disrupted the workflow!
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It matches the specialists: Opus 4.7 produced the smallest hydrogen prediction errors. It’s predicting NMR signals just as well as the tools built explicitly for this one job.
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It works in reverse: This is the massive news. The model can look at the raw NMR spectrum and actually infer the molecular structure. That is a heavy-lift reverse-engineering task that standard mainstream tools generally leave to the human chemists.
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Opus 4.7 wasn’t specially trained on a massive, custom chemistry dataset to pull this off. It is doing this out-of-the-box as a general-purpose model.
The assumption was always that a general AI couldn’t possibly compete with a tool built specifically for a hardcore science niche. But this result completely shatters that narrative.
General-purpose models are getting dangerously capable at highly specialized tasks right out of the gate. If Claude can effortlessly clear a major structural chemistry bottleneck today, it really makes you wonder which specialized industry standard it will casually absorb tomorrow.
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AI SOURCES FROM AI FIRE
1. How to Clone a $61K/Month YouTube Channel Using Claude Code Automation. This Claude + YouTube niche is getting millions of views. A simple faceless YouTube system using Claude to turn one script into a fast, repeatable AI video workflow.
2. Free: Browsers Are Dying: Codex & Claude Code ‘Super Apps’ Just Showed What Comes Next. From browser tabs to task tabs. Codex and Claude Code are becoming AI workspaces where agents can open apps, control browsers, docs,… ALL.
3. [AI Personal Brand Playbook] Lesson 2: Build Your Personal Brand Visual Direction. Learn how to use Claude workflows to turn your audience, positioning, and tone into a recognizable visual system through moodboards, creator references, typography, layouts, and social platform.
4. [How to AI in Real Estate] Lesson 2: The AI Advantage in Real Estate. Learn how AI helps real estate agents respond faster, qualify leads more effectively, and write stronger follow-ups for more booked appointments.
🔥 Help Us Decide Which Course to Go All-In On
We recently launched 4 new AI Fire courses. Right now, we’re splitting our time across all of them. The result? Slower lesson releases and less focus on each course.
Instead, we’re considering putting most of our effort into one course first, publishing new lessons faster, adding more templates, workflows, case studies, and support around the topic readers care about most.
Here are the 4 courses currently in our community:
Which course would help you the most right now? Vote below:
TODAY IN AI
AI HIGHLIGHTS
🔥 Claude just doubled Cowork usage limits for all paid plans through July 5. If you’ve been hitting caps while building, now’s a good time to push bigger projects.
🕵️ Claude Mythos 5 was spotted hiding in Dev Mode, it doesn’t seem to belong to Haiku, Sonnet, or Opus. Reports suggest it’s built from a new “Oceanus” checkpoint.
🏆 Nvidia claimed the top spot in WSJ’s 2026 Best Companies for the Future ranking, ahead of Alphabet, Microsoft, Meta, and Cisco. Jensen Huang keeps collecting wins.
💳 “Poisoned” AI? Fake shopping websites have been showing up in ChatGPT search results, tricking unsuspecting buyers. You can report sites through this OAI’s form.
🤔 Notion temporarily shut off Anthropic models after a backend issue. Access has now been restored, and Anthropic says the infrastructure issue is fully resolved.
🍎 WWDC 2026 is almost here, and all eyes are on Siri. After months of delays and speculation, Apple may finally reveal the AI-powered assistant it originally promised.
⚡ OpenAI is preparing a major ChatGPT overhaul, that long-rumored “super app” with everything all in one place. One employee reportedly put it like: ‘Chat is dead.”
🖥️ Google signed a deal to pay SpaceX $920 million per month for AI compute access, including 110,000 Nvidia GPUs. This deal alone could be worth over $30B.
💰 Big AI Fundraising: Supabase raised $500M at a $10.5B valuation as vibe coding explodes. Its backend tools now power 250,000+ customers, boosted by Claude Code, Codex, and AI app builders.
NEW EMPOWERED AI TOOLS
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🌙 Dreambeans by Google synthesises your Gmail, Calendar, Photos, YouTube, and Search overnight to deliver daily AI story collections.
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🎙️ Wave lets you invoke an AI model anywhere on macOS using just your voice. Works across all apps with selected text as context.
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💼 Job Postings is a free, hosted job listings API with 1.8M+ listings across 60k companies, from 30+ applicant tracking systems.
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☁️ Smmall Cloud is the customizable file-sharing app. Upload anything from your iPhone, then share them with a link or a QR code.
AI BREAKTHROUGH
🚀 Google’s LEAP Boosted Math LLMs from 10% to 70%
We all know general LLMs usually faceplant when you ask them to write a massive, complex formal math proof in one shot. But Google just dropped a fascinating new paper proving that the problem is the complete lack of a structured workflow.
They introduced LEAP, a system that fundamentally changes how the AI handles the problem. Here is how they fixed it:
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Asking a model to write one giant perfect proof usually fails on tricky problems. Break it down.
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LEAP stores the proof as a visual graph of goals and subgoals rather than a linear text block. LEAP actively reuses useful lemmas it already figured out.
By letting the model plan, split tasks, and learn from Lean’s feedback, performance on a Lean IMO-style benchmark skyrocketed from under 10% to 70%. It also flawlessly cleared all 12 Putnam 2025 problems.
LEAP is essentially applying a smart, agent-like loop to formal math. You don’t always need to burn compute training a bigger model. You just need a smarter framework that lets the AI plan, break things into logical sub-tasks, and verify its work before moving forward.
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The AI Fire Team
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