OAI clicked GG’s old tricks? 🤫. .
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OpenAI is pivoting from a pure research lab into a full-fledged media and advertising giant, using the Cannes Lions festival to roll out its new ad-tech infrastructure!?
What’s on FIRE 🔥
IN PARTNERSHIP WITH SCOUTER
How to research catalyst-driven setups before the next move (without reading 10-Ks all night).
Scale your research without the data overload. Scouter synthesizes SEC filings, catalyst timelines, and historical event patterns across 10,000+ tickers.
Our proprietary Trend Scores rank market themes and sectors by hype, headwinds, and catalysts so you know where capital is flowing.
AI INSIGHTS
🎟️ OpenAI’s Cannes: From Tech Lab to Ad-Tech Powerhouse
Criteo’s Cannes invitation
OpenAI’s latest moves at the 2026 Cannes Lions festival show they are playing a completely different game. They are officially arriving as a full-fledged media and advertising company.
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Just days before Cannes, OpenAI expanded its self-serve Ads Manager to the U.K. and officially rolled out Cost-Per-Click (CPC) bidding.
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OpenAI’s Chief Revenue Officer is headlining core sessions on “Advertising in the Age of AI.” The strategy here is: they’re actively building out the infrastructure to monetize ChatGPT’s massive answer-engine traffic.
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Agencies are no longer just buying standalone AI models; they are looking for end-to-end marketing operating systems. OpenAI is using Cannes to prove it can be the commercial backbone for brands.
The narrative around AI at Cannes has completely shifted this year. Now, the industry is looking at how these systems can actually run, orchestrate, and optimize entire media operations.
While there was also some initial buzz about OpenAI attempting to debut an AI-assisted animated film called Critterz at the festival (a project that reportedly stalled due to the recent shutdown of Sora’s consumer tool), the real story to watch is their ad-tech infrastructure.
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Download the free AEO Playbook for Startups from HubSpot and get the exact checklist. Five minutes to read.
AI SOURCES FROM AI FIRE
1. Learn These 5 AI Skills to Determine Your Job Security & Future-Proof Your Career. AI skills now decide who stays valuable at work. See 5 real, verified examples, from a $1.3M founder to a top consulting firm’s costly mistake to learn from.
2. Google AI Can Now Build Your Entire AI Marketing Content System From One Brand Folder. Turn raw brand files into blogs, ads, videos, social posts, lead magnets, and sales materials using Google’s connected AI stack.
3. Claude Code with Gemma 4: I Stopped Wasting Credits on Small Coding Tasks! A practical workflow for using Claude Code with local LLMs, so you can handle small coding tasks without API costs, rate limits, or sending every file to the cloud.
MAKE MONEY WITH CLAUDE AI
💵 3 Easiest Methods to Make Money With Claude AI (Why Most People Ignore?)
You’ve learned a lot with us, like, seriously a lot. Every single day, we sent guides, tips, and hacks. So I think… it’s time to take real action and make some money. But if you’re not ready yet, just keep learning and save this post for later.
Now, try searching for ways to make money with AI online, did you get something like these: Write content or Sell prompts or Take freelance gigs?
Yes, these ideas get shared everywhere, but sadly, they rarely turn into real income. Because they skip the part that actually matters, a system that works needs 3 parts:
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A paid product, which gives people something worth paying for
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Free traffic, which brings new visitors to that product without spending money on ads
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An email list, which lets you reach the same people again with new offers later
Luckily, Claude can help you build all 3 parts. I’ll walk through each part step by step right after this.
TODAY IN AI
AI HIGHLIGHTS
📌 If your chatbot gives shallow answers, try this 4-part Stanford technique. It pushes any models to give deeper, PhD-level analysis for reports, interviews or big decisions.
🎬 Y Combinator-backed Palmier unveiled a video editor where Claude or Codex can directly edit videos. It’s free to download and works with Seedance 2.0, Kling V3,…
⚡ Moonshot AI added Goal Mode to Kimi Work. Set one objective, and the desktop agent keeps working until it’s done. You can track progress anytime. See its demo.
🎓 Microsoft opened a free 12-week, 24-lesson course (link) covering everything from classic AI concepts to deep learning, neural networks, modern AI architectures.
🔁 Not prompt engineering, ‘Loop engineering’ is all the rage now, where AI agents keep working. Even Claude Code’s Boris Cherny & OpenClaw agreed. So what is this?
🧪 Claude Sonnet 5 rumors are heating up. Codenamed Fennec, it could launch next week with stronger coding, faster performance, and a 1M-token context window.
🛠️ Grok Build Remote is showing up online, likely by accident, but it looks unfinished and possibly unintended. Whether Grok Build lives on or gets folded into Cursor?
💰 Big AI Fundraising: Elastic is buying Deductive AI, an AI debugging startup, for up to $85M. The 2023 startup had raised $7.5M, reached about $1M ARR, and could boost Elastic’s AI observability tools.
NEW EMPOWERED AI TOOLS
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🤖 Agent 37 is managed hosting for persistent agents like Hermes, OpenClaw and ClaudeCode. So you don’t need to run them on Mac mini.
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📬 Atomic Mail Agentic gives autonomous AI agents their own real inbox to manage fully without human setup, or ongoing intervention.
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📝 Grok for Word now lets you draft, restructure wording, generate outlines or create tables from panel inside Word documents.
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🎮 Backgrind runs your AI agents over any app, even games, it just pings you only when it actually needs a decision.
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☁️ Cloudback MCP connects Claude Code, Cursor, VS Code, or any MCP client and manages 300 backup definitions through simple chat.
AI BREAKTHROUGH
📊 SEC Data Goldmine: Unlocking 550B Tokens for AI in Finance
If you have ever tried feeding raw SEC filings into an LLM, you already know this: financial tables usually get completely flattened, which destroys the actual accounting logic. A joint research team from Stanford, the University of California, and Nanjing University just released a major fix for this exact problem.
They developed a new dataset and methodology specifically designed to make SEC filings readable for machines without losing the structural meaning.
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The team dropped a 152B-token public snapshot, processing the full archive will yield around 550B tokens of long-form financial documents.
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This dataset has less than a 0.1% overlap with existing Common Crawl-derived corpora, offering highly unique training material.
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The researchers proposed SEFD, a reconstructed version of the SEC’s EDGAR filings that translates the data into layout-faithful MultiMarkdown.
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They successfully retains merged headers, critical indentation, financial signs, spans, and complex table hierarchy while using fewer tokens for training.
This represents a significant infrastructural upgrade for the financial AI space. It finally provides a clean, standardized pipeline for turning millions of complex, unstructured financial documents into high-quality training data.
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The AI Fire Team
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