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- 🧪 24 AI Avengers Just Assembled
The biggest AI + science project just went live,and it’s stacked with names like OpenAI, Google, Anthropic, AWS, Nvidia, xAI, and more. And that’s not even the wildest part.
What's on FIRE 🔥
LEARNING PARTNER AIRCAMPUS
You don’t need another productivity hack, You need a system that works without you.
It started with burnout. Emails piling up. Meetings double-booked. Leads slipping through the cracks. Content deadlines missed.
You weren’t lazy. You were just doing everything.
Then one day, you discovered AI Agents. You built one in a single afternoon. No code. No tech stress. Just a simple, guided system. Now?
📩 Your emails reply themselves.
📅 Meetings get scheduled before you even look.
📞 Leads get followed up automatically.
📝 Content? Already posted.
While you sleep, walk your dog, or sip coffee - your AI agents work. It’s not a dream. It’s a 3-hour masterclass.
👉 Reserve your spot now. Your future is already waiting.
AI INSIGHTS
The U.S. Department of Energy just confirmed that 24 top tech companies, including OpenAI, Google, Anthropic, Microsoft, xAI, Nvidia, and AWS, have signed on to support the Genesis Mission. What the companies are bringing to the table:
Google DeepMind → Giving early access to their co-scientist stack
AWS → Committing $50B in infrastructure to government AI projects
→ Deploying OpenAI models on Los Alamos’ Venado supercomputerOpenAI → Integrating GPTs into real lab settings
Radical AI → Building closed-loop AI research systems that auto-hypothesize, test, and learn
These companies will be teaming up with 17 national labs and 40,000+ researchers to push breakthroughs in quantum computing, biology, energy, advanced manufacturing. This is the first time the U.S. government has gone all-in on:
Embedding frontier AI into core scientific infrastructure
Using GPTs, Claude, and Alpha models for physical science
Hosting R&D compute on supercomputers + commercial cloud (AWS, CoreWeave, etc.)
Making AI a default teammate for national lab scientists
This is a full systems shift. Instead of waiting 5 years for breakthroughs, the Genesis Mission wants to run experiments, test hypotheses, and simulate molecules in days!
PRESENTED BY BELAY
Q4 is the perfect window to turn this year’s numbers into a clear, actionable forecast aligned with your goals. Set your business up for a stronger 2026 with BELAY’s new guide.
AI SOURCES FROM AI FIRE
1. How I Built an AI Dropshipping Empire (And Now Make $1,000/Day). Master the "Surf Scaling" protocol to build a passive empire
2. "Is She Real?" NO. The 4-Step Formula to Build A Virtual Influencer. How to create a hyper-real AI influencer with a real voice, reactions & real potential
DAY 4: BEGINNERS DAILY AI PLAN
If you missed Day 3: Advanced Prompt Engineering. 10 Secret Methods from Google, OpenAI & Anthropic, go check it first. It’ll level up how you think about prompts forever.
“What’s the best AI course to actually get better and maybe earn from it?.” We’ve tested a lot. And 99% of AI courses are either:
Too fluffy (repeating YouTube slides)
Too technical (PhD-level math and models)
Or just a mess of “tools” with no direction
So here’s a clean list we personally recommend based on usefulness, clarity, and ROI. Just choose Free or paid courses based on your current needs.
TODAY IN AI
AI HIGHLIGHTS
🔭 Google Labs has been super busy this month, with major models and tons of updates. So you don't FOMO, here's a full recap of everything they launched recently.
⚠ 2025 saw 1.17M layoffs, highest since Covid, and AI was cited in 55K of them. Here are the top firms to cite it for job cuts (Amazon, Microsoft, Salesforce, IBM, and…)
🎬 A CEO entered a $1M AI film festival with 6 Hollywood cinematographers with zero AI experience. Here are the exact tips, prompts, and process he used and shared.
📋 NotebookLM turns messy docs into organized, exportable tables; or meeting notes → action items, research papers → side-by-side comparisons. See it in action here.
🎥 Runway's Gen-4.5 is now exclusively in Adobe Firefly. You can create videos from text, then edit them straight in Premiere or After Effects. Try using it for free here.
💰 Big AI Fundraising: Google is investing over $91-93B to focus on improving energy efficiency & cybersecurity for more eco-friendly data centers.
You don’t need to design. You don’t need to code. You don’t even need to Google “how to build an app.” Just tell AppGen what you want, like:
I want a calorie tracker with login, dashboard, and Stripe payments.Full mobile app built automatically
UI, logic, auth, and database included
Works on both iOS & Android
Live preview + instant export
Monetize with in-app purchases, ads, or subscriptions
You can even clone apps from the community, like habit trackers, meditation timers, or interior design tools, and customize them for your own needs.
NEW EMPOWERED AI TOOLS
⚙️ GPT-5.2-Codex is OpenAI’s latest top-ranked agentic coding model
🧾 Mistral’s OCR 3 converts scanned documents, complex tables, and handwriting into clean text
📷 Ray3 Modify easily reshapes existing footage while keeping the original performance intact
💼 Rezzy tailors your resume for every job based on real job-winning resumes, recruiter insights
AI BREAKTHROUGH
OpenAI built 13 benchmark tests to see if AI monitors (other models) could detect suspicious behavior by reading CoT traces - basically, the step-by-step reasoning models output before giving final answers.
Here’s what they found:
Chain-of-thought monitoring works best. In some cases, CoT-only matched full trace performance
Models that think out loud more are easier to supervise
Monitorability costs extra compute. Smaller models thinking harder (with long CoT) can match big model accuracy
Reinforcement learning didn’t break things (yet). At current scales, even super-optimized RL models are still monitorable
OpenAI ran tests where they trained models to hide their true reasoning & it worked. This means companies could (intentionally or not) produce models that plan deceptive behavior without easy detection, unless CoT is preserved.
If we can’t guarantee full AI alignment, then monitoring becomes our best safety fallback. Cause many don’t expose CoT at all, or only do it partially.
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Cheers,
The AI Fire Team
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