🧠 How Anthropic's Claude Thinks

🦾Plus: 🧐 ARC’s new AGI test stumps every frontier AI

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Hey folks! Let’s get into Big Data and AI craziness…

In today's edition: Every frontier AI failed ARC's new AGI test. Google compressed memory to zero accuracy loss. And ML is reshaping FinTech faster than regulations can keep up. Let's dig in.👇

  • 🤖The Role of Machine Learning in FinTech

  • 🎨Agents, meet the Figma canvas

  • 📊Anthropic’s The AI Economic Index report

  • 🚀Linear Launches Its Own AI Agent

  • 💾 Google shrinks AI memory with zero accuracy loss

  • ✂️ Meta is Cutting Several Hundred Jobs

  • 💡 AI Tutorial:Record and summarize any meeting on a Mac using ChatGPT

  • 🤖AI Tools and Data Tools to checkout

Claude was trained on data, and it developed its own strategies, so the people who built it didn't really know how it worked. Anthropic built a set of tools to trace the actual computational steps the model takes to produce an answer. Its team traced Claude's internal computations across tasks over the course of multiple research papers published in 2025.

88% resolved. 22% stayed loyal. What went wrong?

That's the AI paradox hiding in your CX stack. Tickets close. Customers leave. And most teams don't see it coming because they're measuring the wrong things.

Efficiency metrics look great on paper. Handle time down. Containment rate up. But customer loyalty? That's a different story — and it's one your current dashboards probably aren't telling you.

Gladly's 2026 Customer Expectations Report surveyed thousands of real consumers to find out exactly where AI-powered service breaks trust, and what separates the platforms that drive retention from the ones that quietly erode it.

If you're architecting the CX stack, this is the data you need to build it right. Not just fast. Not just cheap. Built to last.

This article examines how machine learning technology drives innovation in FinTech by demonstrating its measurable effects and presenting the challenges that organizations must solve to implement machine learning (ML) in their operational systems.

Figma just opened its canvas to AI agents. The new use_figma tool on its MCP server, coding agents like Claude Code, Codex, and Cursor can now generate and modify design assets directly in your Figma files, connected to your existing design system. To keep things from going off-brand, Figma uses Skills, so the output actually looks like your product instead of generic AI slop. Free during beta, paid later.

A new report tracking real-world AI usage shows where coding tasks are migrating to, adoption broadening, and higher conversation success rates for users.

A built-in agent now synthesizes roadmap context, creates issues from Slack messages, drafts project updates, and saves reusable workflows as skills. Code Intelligence for codebase awareness is coming soon.

Expressive Mode by ElevenAgents helps agents acknowledge emotion, de-escalate tense moments, and guide callers to resolution—while staying fast and natural.

👨‍💻 Data Tools, Libraries

Rubrik Workshop: Cyberattackers are targeting your unstructured data estate. That’s billions of files and petabytes of data. This is your final chance to register for our Stop the Data Chaos workshop on March 26th.

SQLedge
Replicate Postgres to SQLite on the edge 

LLPhant
A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain and LLamaIndex.

typograms
Typograms (typographic diagrams) is a lightweight image format (text/typogram) useful for defining simple diagrams in technical documentation.

AI News:

François Chollet's ARC Prize Foundation just released ARC-AGI-3, the newest version of its interactive reasoning benchmark, where humans can solve 100% of tasks on the first try but AI models struggle, with top systems not even scoring 1%. Labs spent millions training models on earlier versions of the test, pushing ARC-AGI-2 scores from 3% to around 50% in under a year.

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A federal judge has sharply questioned the Trump administration's efforts to cut Anthropic out of classified military systems, calling the Pentagon's actions "troubling" and suggesting they appear designed to "cripple" the AI company rather than address legitimate security concerns.

Google Research introduced TurboQuant, an algorithm that compresses AI model memory over 6x without any retraining — while delivering up to 8x speed gains on Nvidia H100 chips and losing almost zero accuracy. AI models keep a running log of each conversation, and as chats get longer, that storage balloons, which slows responses and drives up costs.

Does this count toward AI-driven job cuts? Maybe. As Meta invests billions of dollars into AI, the tech giant is laying off several hundred employees across multiple teams including sales, recruiting, and the Reality Labs division. This is the secont time Meta has trimmed its workforce in 2026.

Apple has complete access to Google's Gemini model in its own data centers. The company is able to edit the model as needed to make sure it responds to queries the way it wants, and also use the answers and reasoning information from the model to train smaller, cheaper models. The distillation process will enable Apple to create models that can run on its devices without the need to connect to the internet.

The Future of AI in Marketing. Your Shortcut to Smarter, Faster Marketing.

This guide distills 10 AI strategies from industry leaders that are transforming marketing.

  • Learn how HubSpot's engineering team achieved 15-20% productivity gains with AI

  • Learn how AI-driven emails achieved 94% higher conversion rates

  • Discover 7 ways to enhance your marketing strategy with AI.

AI Tutorial

Record and summarize any meeting on a Mac using ChatGPT

  1. Launch the ChatGPT app on a Mac.

  2. Click the Record button at the bottom of the screen and grant the necessary permissions when asked.

  3. ChatGPT will record the audio of each speaker. When you're done, click Stop on the recording button. (Recording length is currently capped at 120 minutes per session.)

  4. To finish the recording and upload the transcript and summary, select Send.

  5. ChatGPT will then open a private canvas with a structured summary, key points, action items, and suggested questions.

  6. From there, you can type or speak a question to dive into specific elements of the conversation, or ask ChatGPT to rewrite it as an email, project plan, or code scaffold.

Note: Record mode is available for Plus, Enterprise, Edu, Business, and Pro workspaces, and only available for the macOS desktop app.

🔥Top AI tools to increase productivity: 

  1. Zoice is the single platform for every creator. Transcribe, generate, and animate your content.

  2. Floowed is a flexible, no-code AI credit workflow automation platform

  3. BookSwift is a modern appointment booking platform for providers

  4. Marketsy.ai provides a smart e-commerce experience supported by a powerful admin panel.

  5. StrideFuel - Built for weight loss success—especially GLP-1 users

  6. WorldEngen is an AI copilot for 3D production that helps professional teams

  7. AppWizzy is an AI tool that helps you build and host full-stack web applications

  8. SongGuru.AI: An AI-Based Music Creation and Audio Processing Platform

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

Have cool resources to share? Submit AI tool

A.I. Generated Image of the Day

👀 Desert valkyrie

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