🚫 Trump Picks Grok, Bans the Rest?

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Plus: Try this mega-prompt to turn GPT into your expert market analyst

Read time: 5 minutes

Grok 4 just claimed the top spot on the intelligence charts but it costs 6x more than its closest rivals. Is it worth it? And why is Gemini still winning everything else?

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What are on FIRE 🔥

• 🧠 What’s The Best AI Model You Can Use Right Now?

• 🌟 AI Highlights

• 📚 AI Sources From AI Fire

• 📃 AI Cheat Sheet

• 🏅 AI Tools

• ⚡ 5 AI Quick Hits

• 📊 AI Chart

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AI INSIGHTS

🧠 What’s The Best AI Model You Can Use Right Now?

If you’ve ever wondered which AI model is actually the smartest right now, we finally have some real data. Grok 4 just joined the LM Arena leaderboard, and it’s turning heads in math and reasoning. But Gemini 2.5 Pro is quietly sweeping category after category.

Meanwhile, a separate benchmarking system says Grok might be the smartest model period but you’ll be paying for that IQ.

Here's who’s winning where:

• Text Tasks: Gemini 2.5 Pro on top. ChatGPT-4o and o3 tied for second. Grok 4 tied for third alongside GPT-4.5

• Coding: A 3-way tie between Gemini 2.5 Pro, DeepSeek-R1, Claude Opus 4. Grok 4? 14th

• Math: Grok 4 takes the crown. Gemini and Claude right behind

• Complex Reasoning: Gemini 2.5 Pro & ChatGPT-4o lead. Grok 4 takes third

• Vision Tasks: Gemini 2.5 Pro leads, with GPT-4.5, o3, and 4o tied for second.

• Search: Gemini 2.5 Pro ties with Perplexity Sonar Reasoning Pro

• Image Gen / Editing: OpenAI’s new “GPT Image 1” dominates both

But there's another scoreboard. Artificial Analysis scores Grok 4 as the #1 most intelligent model overall, with an “Intelligence Index” of 73.

The price reality check: At $6 per million tokens, Grok 4 is delivering the highest intelligence score on the market.

→ If you want maximum intelligence and don't mind paying for it, Grok 4 is your answer. If you want 95% of the performance for half the price, Gemini 2.5 Pro and o4-mini (high) are solid alternatives.

Why It Matters: If you want the smartest AI for the lowest cost → DeepSeek R1. You build something visual or search-heavy → Gemini. You need reliable image generation → GPT Image 1. Keep an eye out for OpenAI’s new model called o3-alpha that’s in testing now…

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TODAY IN AI

AI HIGHLIGHTS

📈 A viral “Warren Buffett mega-prompt” claims to turn ChatGPT into an expert market analyst. But remember: GPT still doesn’t have a CFA. Here's the prompt to try.

👻 If you just need a quick chat and don’t want your ChatGPT to save or use your info, then try this "Ghost Mode" feature. It’s free, private, and doesn’t remember a thing.

🤖 ChatGPT just got moods, it lets you change how it acts, talks, thinks, and vibes. You can take on specific personalities like “Cynic,” “Robot,” “Listener,” or “Sage.” Try it here.

🔥 Google just released its ‘fastest 2.5 model yet’ with a cost of just $0.10/1M input tokens. Gemini 2.5 Flash-Lite is best for high-volume tasks where speed and low-latency are key.

🧠 Trump signed an order to ban “woke AI" models from federal contracts. Instead, models must be “truth-seeking” and “ideologically neutral”. xAI may benefit most now.

💰 AI Daily Fundraising: Gupshup just raised $60M (mostly equity) to grow in India, LATAM, and beyond. It powers 120B+ messages yearly for 50,000+ businesses, and may IPO in 18–24 months.

AI SOURCES FROM AI FIRE

AI CHEAT SHEET

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AI QUICK HITS

1. ✨ More “pro-level” commercial concepts with Veo 3, shockingly realistic

2. 🐎 Anthropic crossed $4B+ in ARR, quietly leading B2B AI with Claude

3. 🕸️ Google's AI created zero-click webs, 10% likely to stop browsing entirely

4. 📸 Google Photos adds AI features to remix photos, turn pics into videos

5. 🤝 Microsoft hired ~2 dozen employees from Google DeepMind AI lab

AI CHART

📊 Which Sources Do AI Models Actually Cite the Most?

If you've ever wondered how your blog post, press release, or podcast episode might surface in a ChatGPT or Claude response, here’re answers. Muck Rack just dropped a massive study analyzing over 1 million citations across ChatGPT, Claude, and Gemini models.

96% of citations in AI responses come from content that lives in corporate comms, PR, or journalism, not ads:

• Advice-seeking: 48% cited corporate blogs

• Step-by-step tasks: 47% cited blogs, 23% Wikipedia

• Creative task help: 43% blogs, 26% journalism

• Comparisons: 35% aggregators (e.g., Wikipedia), 33% blogs

• Factual lookups: 33% aggregators, 33% blogs

• Current events : 49% journalism (Reuters, AP, FT)

TL;DR: blogs dominate casual + how-to prompts, while news wins for current events. ChatGPT was the most journalism-heavy, citing mainstream news most frequently. Claude, by contrast, leaned more on academic, government, and technical sources.

Old SEO playbooks aren’t enough. Publishing podcasts on YouTube = better odds of AI citation. That’s why we do have a podcast everyday!

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The AI Fire Team