How to buy $15 Claude for 15 cents?? NO!. .
Free AFIRE Guide | AI Academy | Advertise | AI Mastery A-Z
Plus: 6 AI Skills That Matter More Than “Learn AI” in 2026 (And How to Start Immediately). Every single one of these 6 hand-picked AI skills gets more valuable as AI gets better in the next few years.
Anthropic just launched Claude Sonnet 5, its most agentic Sonnet yet, and the interesting part is price. Built for coding, planning, tool use, and long workflows.
What’s on FIRE 🔥
IN PARTNERSHIP WITH FETRA AI
Social Media Growth
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SEO Blog Writer
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AI INSIGHTS
🚀 Claude Sonnet 5: Near-Opus Intelligence at a Fraction of the Cost
Anthropic officially released Claude Sonnet 5, billed as their “most agentic Sonnet model to date,” it aims to deliver top-tier intelligence for coding and everyday professional work at a massive scale.
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Lower cost: $2/M input tokens and $10/M output tokens through August 31, after which pricing increases to $3/M input and $15/M output
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Performance: it approaches Claude Opus 4.8 on many tasks, and even edges it out on some knowledge-work benchmarks while costing much less.
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Sonnet 5 natively runs with “adaptive thinking” turned on by default. So if it’s not necessary, you can turn it off.
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It results in about 30% more tokens for the same text compared to previous versions. It also introduces real-time cybersecurity safeguards that cleanly refuse high-risk, malicious requests without throwing standard errors.
If you are building multi-step software engineering workflows, automated data auditing, or customer-facing agents, Sonnet 5 is positioned to be the new reliable backbone. It allows teams to automate complex desktop and browser tasks that previously required larger, cost-prohibitive models, making true AI automation much more economically viable.
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AI SOURCES FROM AI FIRE
🔥 Ep 49 Tooldrop: Access 35+ frontier AI models including DeepSeek V4 Pro, Kimi K2.6, GLM 5, Qwen, Llama, and Mistral through a single API.
Get your full breakdown here (Free, no hidden fee)! 5 AI tools that:
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Manage hosting for persistent agents like Hermes, OpenClaw and ClaudeCode. So you don’t need to run them on Mac mini.
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Generate cinematic AI videos up to 5 minutes long with consistent characters, scenes, voice, visual style throughout.
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Fact-check politicians in real time, so you can instantly verify claims during debates, interviews, and speeches.
1. Best AI Agent Tools in 2026: n8n vs. Claude Code vs. Base44 (Tested & Ranked for Real Work). We put all 3 of the most talked-about AI agent across real tasks. Which one actually automates like a human teammate? Which falls short despite the hype?
2. Discover 5 New Must-Try Vibe Coding Repos You Didn’t Know Existed. These 5 repos are packed with tools, workflows, and tricks you probably haven’t seen. Each one can save time, improve AI outputs, or spark ideas for your next project.
6 VALUABLE AI SKILLS IN 2026 & …
🚀 6 AI Skills That Matter More Than “Learn AI” in 2026 (And How to Start Immediately)
“Learn AI” is the worst advice I would give you in 2026. In around 5 years, or maybe even less, AI will be much more powerful than it is right now.
So what does “learn AI” even mean then? AI is a tool. What you need to learn is how to use that tool to create real value, from running agents to shipping products.
Every single one of these 6 hand-picked AI skills gets more valuable as AI gets better in the next few years. So what are they? Check the table below:
|
AI Skill |
Focus |
|---|---|
|
Running AI agents and personal models |
Designing an AI worker with a clear goal, tools, and permissions |
|
Building distribution |
Knowing where your customers pay attention and how they talk |
|
Robotics and sourcing |
Taking AI off the screen and into real hardware |
|
Curation |
Filtering information and explaining it fast for others |
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Becoming a builder-distributor |
Building and selling in the same loop, not as separate steps |
|
Building real-life community |
Creating a place people keep coming back to, not just once |
I’ll show you each skill in the table above, with the first practice exercise for each one.
TODAY IN AI
AI HIGHLIGHTS
💡 If your AI keeps agreeing with everything you say, try this one extra rule, “always suggest a better alternative“. See the full prompt here, honestly, it’s worth stealing.
🍌 Google released Nano Banana 2 Lite, a faster & cheaper image model for rapid creative testing without burning your cash. Head over to Google AI Studio to try it.
🤦 “Fake profound statements” are becoming a new sign of AI writing, like sentences that sound deep but say almost nothing. Rephrase this structure before posting.
🔬 Claude Science, an AI workbench for scientists, is now available. It’s a workflow layer connecting databases, sub-agents, and fact-checking. Get started with it here.
🚨 This Claude gray-market story is crazy. Chinese devs are reportedly buying Claude for only 5% to 10% of official prices while hiding the real user from Anthropic.
✨ Google Gemini Spark updates: macOS app launch, Canva and Dropbox connections, MCP support, and real-time alerts are now part of the workflow.
🚀 AWS launched a new $1B FDE org to embed AI engineers inside companies to help them deploy AI agents faster, following similar moves from OpenAI & Anthropic.
💰 Big AI Fundraising: Etched, a Nvidia rival, hit a $5B valuation after booking $1B in AI chip orders. Its chips aim to make AI inference faster, cheaper, and more power-efficient than today’s GPU-heavy setups.
NEW EMPOWERED AI TOOLS
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📱 Cursor is now available as a native iOS app in public beta, so you can build from anywhere. You can control agents from your phone.
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🛒 Skills Marketplace is a library of ready-made skills for paid ads, website performance, ecommerce, revenue, and more.
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🔮 Foresight is an OpenAI-compatible forecasting API for developers building agents, prediction-market bots, and decision tools.
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📅 Akiflow is a digital planner and calendar for centralising tasks, unifying schedules from Claude, ChatGPT or Cursor.
AI BREAKTHROUGH
🧠 Meta’s Non-Invasive BCI Project Decodes Brain Scans Into Full Sentences
Meta introduced version 2 of its Brain2Qwerty system, a non-invasive brain-scanning technology that can decode full words and sentences directly from brain activity:
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9 volunteers spent 10 hours inside a non-invasive brain scanner, typing text while the system mapped their neural responses. This intensive tracking produced a dataset of nearly 22,000 completed sentences.
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The system uses 2 AI models. The 1st model analyzes raw brain signals as a person types, a 2nd one layer adds semantic meaning to those signals.
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Version 2 achieved an average word accuracy rate of 61%, with the highest-performing volunteer hitting 78%. For context, competing non-invasive systems typically peak at around 8% accuracy.
Most high-accuracy brain-computer interfaces (BCIs) currently rely on surgical implants, which presents a significant barrier to widespread everyday use. This level of performance shifts the landscape for accessible communication tools.
Additionally, Meta has open-sourced the datasets and the code for both versions of the system, allowing outside development teams to openly build upon and test the framework.
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