Happy Friday! This is Ryan Staley of Whale Boss where I share the latest weekly insights, prompts, and workflows to unleash the power of AI! 🔥

_{Here’s what we got for you:}

• 🤖 The Hidden AI Agent Beating ChatGPT (that’s faster, smarter, and 10x cheaper)

• 🎧 Weekly Podcast Updates

• 🚀 The Anthropic Economic Index

• ❇️ OpenAI is reportedly getting closer to launching its in-house chip

• 😮NotebookLM Plus is now available in the Google One AI Premium subscription.

• 🤖 YouTube AI updates include auto dubbing expansion, age ID tech, and more

• 😎 Meet new Sonar: A Blazing Fast Model Optimized for Perplexity Search

🤖 The Hidden AI Agent Beating ChatGPT (that’s faster, smarter, and 10x cheaper)

🚀 The AI showdown you've been waiting for! A hidden agent is beating ChatGPT at its own game, and it's faster, smarter, & 10x cheaper! How a tiny startup is outmaneuvering OpenAI with just $12M vs. a billion-dollar budget...

Ready?

Watch now to discover how you can leverage these groundbreaking AI agents to automate and enhance your business efforts.

🙌This week's podcast episodes...

😮 The Anthropic Economic Index

AI is transforming the workforce, and the Anthropic Economic Index aims to track its impact over time. The first report, based on millions of anonymized Claude.ai conversations, offers insights into AI’s role in modern jobs.

Key Findings:

• AI is most used in software development and technical writing. About 36% of occupations use AI for at least 25% of tasks, but only 4% rely on AI for 75% of tasks.

• AI is used more for augmentation (57%)—assisting workers—than for automation (43%), where AI replaces tasks.

• Mid-to-high wage jobs, like programmers and data scientists, use AI the most, while both low- and high-wage jobs show lower adoption.

• AI use is highest in Computer & Mathematical (37.2%), followed by Arts & Media (10.3%) and Education & Library (9.3%).

Future Research:

The Index will continue tracking AI’s influence, updating datasets to monitor how jobs evolve and whether AI leads to more augmentation or automation.
Read the full report.

🔹OpenAI is reportedly getting closer to launching
its in-house chip

OpenAI is on track to complete its in-house AI chip design this year and begin production in 2026, per Reuters. The chip, fabricated by TSMC using 3-nanometer technology, will feature high-bandwidth memory and advanced networking. Initially, it will launch on a limited scale, primarily for running AI models.

This move reduces OpenAI's reliance on Nvidia chips and follows reports of collaboration with Broadcom. The AI chip team, led by ex-Google TPU engineer Richard Ho, has doubled in size.

Read more: OpenAI to Finalize AI Chip Design in 2025

😮NotebookLM Plus is now available in the Google One AI Premium subscription

Google’s NotebookLM, an AI-powered research and thinking companion, now offers NotebookLM Plus as part of the Google One AI Premium plan. This upgraded version provides higher usage limits and premium features for more personalized research.

To support students, Google is introducing a 50% discount on the AI Premium plan, bringing the cost to $9.99/month for 12 months. Eligible U.S. students (18+) can use Gemini Advanced for coursework, email drafting, and study assistance.

Try it now with a one-month free trial. Check it out here

🤖YouTube AI updates include auto dubbing expansion,
age ID tech, and more

YouTube’s 2025 AI Expansion Plans

YouTube CEO Neal Mohan highlighted AI as one of the platform’s four big bets for 2025, focusing on tools to help creators with video ideas, thumbnails, and language translation.

Key AI Updates:

• Auto dubbing will roll out to all YouTube Partner Program creators this month, enabling multilingual video translation.

• Age-identifying AI will customize content recommendations based on users’ estimated ages.

• AI detection tools will expand, including protections against unauthorized AI-generated likenesses.

Beyond AI, YouTube is doubling down on TV streaming, creator-driven Hollywood, and cultural relevance in 2025.

😮Meet new Sonar: A Blazing Fast Model Optimized for
Perplexity Search

Perplexity Launches Faster, More Accurate Sonar Model

Starting today, Perplexity Pro users can try Sonar, the platform’s latest AI model, optimized for accuracy, readability, and speed. Built on Llama 3.3 70B, Sonar outperforms GPT-4o mini and Claude 3.5 Haiku, while rivaling GPT-4o at a fraction of the cost and 10x the speed.

Why Sonar Stands Out:

✅ Instant Answers – Runs at 1200 tokens/sec, powered by Cerebras.
✅ Superior Factuality & Readability – Enhanced for clear, well-structured responses.
✅ Outperforms Competitors – Beats top models in instruction following & knowledge.

Your competitors are already using AI.
Don't get left behind.

Discover how a tiny startup with just $12M is outmaneuvering OpenAI’s billion-dollar empire and how you can leverage these AI breakthroughs to automate and scale your business.

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