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- 🌟 Claude Mythos-class is LIVE now!
Plus: Add This Tiny Prompt Trick Before Every ChatGPT, Gemini, Claude Prompt to Get Accurate Outputs
Anthropic shocked the tech world by publicly releasing Claude Fable 5, a model so powerful they previously warned it might be too dangerous to roll out (Mythos too)
What's on FIRE 🔥
IN PARTNERSHIP WITH AIRCAMPUS
Claude is rapidly becoming the operating system for modern work.
In this exclusive Applied AI Masterclass, you'll discover how to move beyond simple prompting and start building powerful systems using Claude Desktop, Claude CoWork, and Claude Code.
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📅 Thursday, June 11th | 9:00 AM EST
AI INSIGHTS
Anthropic just dropped Claude Fable 5. It is the first publicly available model from their highly anticipated Mythos family. Now, anyone can use it.
Fable 5 is absolutely crushing the charts. It’s showing exceptional, state-of-the-art results across coding, complex knowledge work, and vision tasks.
It can rebuild entire web apps from mere screenshots and even completed Pokemon FireRed autonomously.
It is currently priced at $10 per million input tokens and $50 per million output tokens. That is exactly double the cost of the already-pricey Opus 4.8.
Fable 5 is available now via API. If you have a Pro, Max, or Team subscription, you get it included at no extra cost until June 22nd.
Anthropic has been very vocal about the dangers of frontier AI models. They even urged other labs to establish a coordinated "brake pedal" on development, warning of recursive self-improvement. So, how did they release Fable 5?
→ They built a massive guardrail system. If you prompt Fable 5 with sensitive topics, it’ll hard block the request and automatically route you to Opus 4.8. To use Fable 5, you have to agree to a mandatory 30-day data retention policy. Anthropic promises not to train on the data.
(Note: They also released the unrestricted version, Claude Mythos 5, today, but it remains locked behind closed doors for approved security partners only).
AI SOURCES FROM AI FIRE
1. Add This Tiny Prompt Trick Before Every ChatGPT, Gemini, Claude Prompt to Get Accurate Outputs. Before you ask anything, add this one instruction. It helps any AI think clearer, follow your goal better, and give results that need less editing.
2. I Made 50+ AI Videos for Free With This Video AI Generator (Seedance is Free & UNLIMITED?). This is one of the best free AI video workflows right now: lock the look, animate it with Seedance, and keep testing across model credits.
3. [How To Turn Your ChatGPT and Claude Into Your Real Estate Agent] Lesson 4: From Buyer Inquiry to Discovery Call. Use Claude Projects & Artifacts to analyze lead readiness, identify missing buyer information, prepare discovery call questions, and build a decision map for future CRM setup.
3 FREE GOOGLE AI PROFESSIONALS
Here’s the preview
Google now has a free AI workflow that can turn any brand files into a website design, then into a working app. Each tool has one clear job:
Pomelli → reads your brand, creates a system, builds the first website.
Stitch → improves the website design, creates app screens, edits specific elements, adds motion.
Google AI Studio → turns screens into an app that runs on a real phone.
After completing all 3 levels, you'll have:
A brand system with colors, fonts, tone, and visual direction
A first website based on your brand files
Cleaner website and app screens built in Stitch
A working Android app you can install and test on a real phone
TODAY IN AI
AI HIGHLIGHTS
👀 More and more benchmarks keeps pointing to Claude Opus as the strongest model for extended autonomous work. So here're 5 tips to run Opus for hours/days.
💡 This is a very useful recommendation for pushing Claude to its full potential. (by Thariq, Claude Code engineer, from Claude Code team). Watch the full video here.
🌎 A new Gemini 3.5 Live Translate is live across consumer, developer, and enterprise products! It can translate conversations almost as they happen. See how it works.
🥭 As major AI IPOs approach, it’s not FAANG anymore. It’s MANGOS: Meta, Anthropic, Nvidia, Google, OpenAI & SpaceX. This new acronym is spreading fast.
🔒 Microsoft had to take down 70+ of its own GitHub repos after hackers slipped malware into projects tied to AI coding tools like Claude Code and Gemini CLI.
🏭 Google and Nvidia are reportedly turning to Intel as a backup chip manufacturer to TSMC. Google has already lined up orders for over 3 million AI chips for 2028.
📈 Lovable just crossed $500M in annualized revenue, over 50 million projects created, and usage accelerating to roughly 1 million new projects each week.
💰 Big AI Fundraising: Moonshot AI is raising $1–2 billion in fresh funding. That would be a 50% jump from its $20 billion valuation just one month ago.
Most content fails before it's even created. Agorapulse's Good Content vs. Noise Scorecard gives you a simple framework to instantly validate content ideas before your team invests time creating them.
Inside this FREE template:
✅ A 4-Gate Intent Filter to kill weak ideas early
✅ A simple pass/fail system for every content piece
✅ Real examples of content that passes (and fails)
✅ A team scorecard to align marketing, social, and leadership
✅ A repeatable framework to stop content guessing forever
No more wasting hours creating posts nobody asked for.
NEW EMPOWERED AI TOOLS
📊 SlidesPilot turns PDFs, Word docs, URLs & YouTube videos into an editable PowerPoint instantly, complete with layouts, and visual elements. No credit card required. Sign up here to claim your free credits.
🤖 Kimi Work deploys up to 300 local AI agents to automate web tasks, analyze financial data, and learn your preferences over time.
🍎 Macatron turns your Mac into a private AI assistant that controls apps, files, emails, and settings using natural language.
📊 FrontierCode is Cognition’s new coding benchmark where top models score just 13 out of 100.
AI BREAKTHROUGH
MIT FutureTech dropped a study surveying 272 international experts to rank the most severe AI risks, and more importantly, to figure out who is actually left holding the bag when things break. Here’s the exact breakdown:
Experts believe 18 out of 24 major AI risks have a greater than 10% chance of causing catastrophic outcomes (think $100B+ in damages or massive societal disruption) by 2030.
The risks keeping experts up at night are dangerous model capabilities, geopolitical competitive dynamics, and weaponized cyberattacks.
The people most vulnerable to AI failures are everyday users and the general public. But the entities most responsible for preventing them are the massive General Purpose AI developers and government regulators.
Information, Finance, and National Security are sitting directly in the crosshairs. If AI gets embedded in critical decision-making here, failures carry immediate, massive consequences, from market manipulation to disinformation at scale.
Any AI company that slows down to implement heavy safety guardrails immediately takes a competitive hit. Absent strict, enforceable external rules, these developers have structural, financial reasons not to prioritize risk mitigation.
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The AI Fire Team
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