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In today's edition: 🔥

  • 🔄 Google reshuffles AI leadership as rivals pull ahead

  • 🏦 Google Built a $200B Wall Street Machine for Anthropic

  • 🤖 Four Top Google AI Researchers Form New Start-Up

  • 💡 AI Tutorial:How to automate any task with OpenAI Codex

  • 🤖 5 AI Tools to check

  • 🖼️ A.I. Generated Image of the Day

Can AI really compete with social media managers? Planable created a controlled experiment where 7 Instagram accounts managed the same fictional chocolate brand.

If you're wondering how close AI is to replacing marketers, this experiment offers one of the clearest, numbers-backed answers yet.

And now Meta’s coming for Claude Code. Meta’s dedicated coding agent, Muse Code, is currently in beta but is powered by the new Muse Spark 1.2 AI model to take on “complex software engineering tasks across large repositories: planning changes, writing code, and validating the results.”

Nvidia better watch out. Anthropic is the latest tech company aiming to design its own custom chips for AI usage. The Claude maker said it is planning to co-design hardware and models to help its technology run faster and more efficiently.

Google just reshuffled its AI leadership, with DeepMind CEO Demis Hassabis leaving his role to be the unit’s chairman and Alphabet’s chief scientist, and 27-year veteran Jeff Dean leaving to co-found a startup focused on scientific discovery. Hassabis, a key figure in AI, hands daily control to CTO Koray Kavukcuoglu, who will steer work on frontier models, including Gemini 4, as senior VP.

Google's contracts total about $200 billion across chips and data centres, and roughly 80% of that money pays for tensor processing units. If every lease failed Google would owe $44 billion, and only $815 million of that appears on its balance sheet. Morgan Stanley set up a company called Compute SPV, which borrowed from Apollo and Blackstone in June and paid $35 billion for about one million chips.

Jeff Dean, Sanjay Ghemawat, Quoc Le, and Oriol Vinyals have left Google to start a company called Discovery Loop. The team aims to build AI that can improve itself with little or no help from humans. Google plans to collaborate with the new startup and has agreed to provide the computing power it needs to build its AI technologies for at least the next year. Discovery Loop will operate as a public benefit corporation.

One API. 1,000+ AI Models

Change a single line of code and unlock 1,000+ AI models, smart routing for cost and performance, and persistent agent memory.

AI Tutorial

How to automate any task with OpenAI Codex

  • Open OpenAI Codex > Plugins > enable Computer Use > start a new task

  • Switch permissions from Default to Full access, approve the required access prompts

  • Then give Codex a real task to complete

Sample Prompt: “Open [app/website/file], complete [task], then summarize the results and ask before making any major changes.”
  • Codex can also handle repetitive desktop workflows across your apps, from organizing files and updating spreadsheets to testing websites and more

Note: AI tools can make mistakes, please be careful with sensitive data and tasks.

🔥AI Tools to supercharge your productivity

  1. Marblism generates a fully-functional web application from a single prompt

  2. Clipwing A tool for cutting long videos into dozens of short clips

  3. aiPDF is an innovative, multi-modal tool designed to work with a wide array of inputs, including ebooks, web articles, YouTube videos, podcasts.

  4. FaceStudio - The Fastest Way to Create Realistic Faces Online!

  5.  Flot - No.1 AI Copilot for All Apps, Docs, and Websites! Take your productivity to new heights with Flot

  6. Caley.io is newsletter management and email analytics

  7. MagicSlides creates presentation slides from text

  8. Stratup.ai AI-powered startup ideas and tools

View our database of all the best AI tools for your needs: aitoolsup.com

Got a great AI tool to showcase? Submit AI tool

Build a Holiday Creator Affiliate Program in 90 Days

Creators lock in holiday content calendars 90 days out, before brands figure out commissions. Waiting too long to launch an affiliate program means less runway to build demand and a missed shot at the best partnerships.

The 90-Day Holiday Sprint covers commissions, recruiting, and scaling a program at Day 30, 60, and 90.

🧠AI Research

[arXiv is a free online library where researchers share pre-publication papers]

This free lesson from Google has Gemini poke holes in your plan before reality does, then files it all in NotebookLM.

Get our FREE digital products on Gumroad to 10x your Productivity.

Discover AI tools, AI Toolkit, GPTs, ChatGPT & Midjourney Prompts, Startup tools to increase your productivity.   

22 ChatGPT Agents Built for Every Marketing Job

Most marketers use ChatGPT to do general research and then call it an AI strategy. The ones outperforming them are deploying specialized agents built for specific jobs.

We put together 22 plug-and-play ChatGPT marketing agents that handle the work eating your week, each with built-in instructions and structured outputs ready to go in under 5 minutes.

Subscribe to Marketing Against the Grain and get all 22 free.

Inside you'll find:

  • Competitive intelligence agent that visits competitor websites and builds detailed comparison matrices automatically

  • Customer feedback analyzer that ranks improvement opportunities by business impact

  • Social listening specialist that monitors brand mentions and flags reputation risks before they escalate

  • Campaign optimization agents that handle attribution analysis and surface what is actually driving results

Your competitors are already running agents like these.

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⚡️Quick AI News Roundup

📊 BrandRank.AI raises $3M to track how brands show up in ChatGPT and Claude answers.

🦾 Enigma emerges from stealth with $71M to bet robot interfaces, not raw AI, are the adoption bottleneck.

🎙️ Fish Audio raises $52M seed after growing to 8M users and $21M ARR in its first year.

🤖Prompt Engineering

🎯 Mental Model Mapper

Identify 5 key mental models relevant to learning [subject/skill]. For each model, explain its application and suggest a practical exercise to internalize it. My learning goal is: [state your learning objective]. Present the results in a table with columns for "Mental Model", "Application", and "Exercise".

If you found this prompt useful,
You can find 1000+ prompts to increase productivity by clicking here.

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Big Data News Weekly

A free weekly newsletter featuring curated news, articles and jobs related to Big Data, Data Science, Hadoop, AI, AI Tools, Machine Learning, Analytics.

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