Meta's $14.3 billion AI bet pays off with blockbuster earnings, using Claude Code's new subagents for development workflows, and mastering ChatGPT's Study Mode for better learning...

In this edition we’ll be covering…

  • Meta's superintelligence vision and massive stock gains

  • Claude Code's powerful new subagent system for developers

  • A complete guide to ChatGPT's Study Mode features

  • 5 trending AI developments from around the globe

  • 3 cutting-edge AI tools to boost your productivity

  • And much more...

The Latest in AI

Meta’s $47.5B Quarter Proves AI Investments are Finally Paying Off

Mark Zuckerberg just made his boldest AI bet yet (and Wall Street is all in). The Meta CEO unveiled his vision for "personal superintelligence" just hours before the company dropped blockbuster earnings that sent shares up over 9% in after-hours trading. With Meta burning billions on AI talent raids and infrastructure, investors are finally seeing the payoff.

The timing wasn't accidental. Zuckerberg released his superintelligence manifesto on the same day Meta posted earnings of $7.14 per share on $47.5 billion in revenue, crushing Wall Street expectations by more than 20%…

What’s driving Meta's AI momentum:

  • Meta assembled a new lab headed by Scale AI CEO Alexandr Wang, with hiring packages reportedly reaching $100 million for top researchers from OpenAI, Google DeepMind, and Anthropic.

  • Meta explicitly credited AI improvements to its core ad business for the quarter's strong performance, with the company saying AI is becoming "a real revenue driver, not just hype."

  • Despite massive AI spending, Meta kept capital expenditures at $17 billion, roughly in line with Wall Street estimates, while projecting $47.5-50.5 billion in Q3 revenue.

  • Zuckerberg believes smart glasses will be humanity's "primary computing devices" in the AI era. Forget smartphones, Mark wants to strap superintelligence directly to your eyeballs.

So What?

Zuckerberg is positioning Meta as the democratizing force in AI—promising "personal superintelligence" for everyone instead of centralized AI that "automates all valuable work." This populist approach contrasts sharply with OpenAI's Sam Altman, who has publicly discussed AI replacing jobs and potentially requiring universal basic income.

The strategy appears to be working. Meta's stock has climbed 16% this year as investors bet that the company's massive AI investments will pay off. With "developing superintelligence now in sight," according to Zuckerberg, we're about to find out if this AI arms race was worth the billions.

Tool Spotlight

How to Build Your Own AI Development Team with Claude Code Subagents

Setting up subagents 😏

Claude Code just got a major upgrade with specialized subagents that can handle specific tasks like debugging, code reviews, and data analysis. Think of them as having a team of expert AI assistants ready to tackle different parts of your development workflow (Note: Claude Code only runs natively on Mac right now, for a Windows configuration check this out).

Here's how to set up and configure Claude Code subagents:

1. Open up a Terminal, update Claude Code First

Make sure you're running the latest version:

npm update -g @anthropic-ai/claude-code
# or
claude update

2. Access the Subagents Interface

Launch the subagents manager:

/agents

This opens an interactive menu where you can create, edit, or delete subagents.

3. Create Your First Sub Agent

Select Create New Agent and choose between project-level or user-level agents. The interface lets you:

  • Generate agents with Claude's help (recommended for beginners)

  • Select specific tools each agent can access

  • Edit system prompts in your preferred editor

4. Configure Popular Sub Agent Types

Here are three subagents to create:

Code Reviewer Agent: Automatically reviews your commits for security issues, performance problems, and code quality. Set it to run proactively after any code changes.

Debugger Agent: Specializes in root cause analysis and fixing errors. Perfect for test failures and unexpected behavior.

Data Scientist Agent: Handles SQL queries, BigQuery operations, and data analysis tasks with optimized query writing.

🔥 Power User Tip: Subagents work best when you give them focused responsibilities. Instead of one "do everything" agent, create specific agents for debugging, testing, code review, and deployment tasks.

The beauty of subagents is they maintain separate context windows, so your main conversation stays clean while specialized agents handle complex tasks independently. Once set up, Claude Code will automatically delegate appropriate tasks to the right sub agent, or you can explicitly call them when needed.

Get Your Hands Dirty!

ChatGPT Study Mode Will Actually Make You Smarter Instead of Lazier

OpenAI just launched Study Mode in ChatGPT, designed to help you actually learn instead of just getting quick answers. It's rolling out to Free, Plus, Pro, and Team users now, with ChatGPT Edu coming in the next few weeks.

Here's how to use Study Mode:

1. Activate Study Mode

In ChatGPT, select "Study and Learn" from the tools menu, then ask your question. The interface will switch to a more interactive, educational approach.

2. What Makes Study Mode Different

Instead of giving direct answers, Study Mode:

  • Asks guiding questions to test your understanding

  • Breaks down complex topics into digestible sections

  • Provides personalized hints based on your skill level

  • Includes knowledge checks and quizzes to reinforce learning

3. Best Use Cases

Homework Help: Study Mode will walk you through the steps and ask you to explain your reasoning.

Test Prep: The system creates practice questions and provides feedback on your answers, helping identify knowledge gaps.

Learning New Concepts: Complex topics get broken down with interactive prompts that build understanding progressively.

A quick question…

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  • Built by real AI experts (Reyhan & Kevin, allow us to reintroduce ourselves 👇 )

Reyhan

Kevin

Early AI leader, advises Fortune 500 companies on AI Development, LLMOps, AI strategy, speaks (for fun) on practical AI. Turns cutting-edge theory into workflows teams can ship today.

Ex-AWS SageMaker/Bedrock lead. Shipped infra powering 1M+ devices and $2.5M ARR. Obsessed with high-throughput, low-latency systems— and brings that discipline to every Digestible AI release.

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Quick Bites

Stay updated with our favorite highlights, dive in for a full flavor of the coverage!

Amazon invested in Fable, the "Netflix of AI" startup that just launched Showrunner, a platform where you type a few words to create entire TV show episodes using AI animation.

Google DeepMind unveiled AlphaEarth Foundations, an AI model that acts like a "virtual satellite" by integrating petabytes of Earth observation data to create unprecedented global maps and monitor environmental changes.

NVIDIA AI chip challenger Groq is reportedly raising $600 million at a $6 billion valuation, doubling its worth from last year's $2.8 billion round led by BlackRock.

Workers with AI skills are commanding 28% higher salaries—about $18,000 more per year—as job postings for AI expertise surge 800% outside traditional tech roles since 2022.

OpenAI's three-person team cracked International Mathematical Olympiad gold in just two months using reinforcement learning instead of formal verification, something the entire AI field has been chasing for years.

Trending Tools

🧮 Shortcut - A superhuman AI Excel agent that reimagines spreadsheets for the AI era.

🚀 Avturo - AI tool that helps you skip the scams, decode car listings, and buy with confidence.

💻 Open WebUI - A user-friendly, self-hosted AI interface that works entirely offline and supports various LLM runners like Ollama and OpenAI-compatible APIs.

The Neural Network

Facts or nah?

Until we Type Again…

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