🤖 The Most Significant Antitrust Ruling in the Past 25 Years

⚖️The Most Significant Antitrust Ruling in the Past 25 Years

👣ChatGPT’s Linguistic Footprint Seeps Into Everyday Speech

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Last year, Federal Judge Amit P. Mehta of the U.S. District Court of Columbia (D.C.C.) ruled that Google acted illegally to maintain a monopoly on search by paying billions of dollars to create exclusive agreements with smartphone manufacturers to make Google Search the default search engine.

For example, Google paid Apple $20 billion to be the default search engine within Safari on iOS devices. Additionally, Google shared 36% of their ad revenue generated through Safari with Apple.

The U.S. Department of Justice (DOJ) proposed breaking up Google Chrome and selling parts of it to dissolve the monopoly. Perplexity AI made a surprise bid of $34.5 billion.

On Tuesday, the court rejected the DOJ’s proposed breakup of Google Chrome. Instead, it banned certain exclusive agreements and required Google to share “click-and-query data” with competitors.

A key factor in this decision was the emergence of Generative AI (GenAI), which was recognized as a “genuine prospect” for fostering meaningful competition capable of challenging Google Search.

This ruling signals a transformative shift in antitrust regulatory strategy amid the rise of GenAI, prioritizing data transparency over aggressive restructuring remedies.

This is a major win for Google because it doesn’t have to sell off a strong asset and major control point for accessing the web. For context, Google Chrome boasts an estimated 3.45 billion users globally, holding a market share of over 66.6%. That means more than 6 in 10 people worldwide use Google Chrome to browse the internet.

Every time we ask ChatGPT to draft an email, compose a message, or polish a paragraph, we’re not just getting help; we’re also being influenced.

At first, it’s subtle: a phrase here, a transition there. But over time, the way we think about language is quietly being reprogrammed. It’s like how you adopt a best friend’s slang after hanging out with them every day.

After analyzing 22.1 million spoken words from technology-focused podcasts with hosts who openly discussed using ChatGPT, they discovered that nearly 75% of ChatGPT’s favorite buzzwords, including “delve,” “boast,” “garner,” “underscore,” “meticulous,” and “strategically,” nearly doubled in frequency.

They noted a measurable increase in the use of ChatGPT’s favorite buzzwords but not their synonymous counterparts. For example, “underscore” saw a considerable increase in usage, while the synonym “accentuate” didn’t. So, what does this even mean?!

It means ChatGPT isn’t helping us expand our language; it’s influencing the exact buzzwords we prefer to use. In other words, ChatGPT appears to be subtly steering the way we speak and narrowing our vocabulary without us even realizing it.

Context: I’m trying to build consistent fitness habits,

Clarity: but I struggle to stay motivated and don’t know where to start.

Guidance: Can you help me create a simple, actionable, and beginner-friendly fitness routine based on {Insert Current Fitness Level} that fits into {Insert Lifestyle Constraints}?

Anthropic secured a $13B Series F at a $183B valuation to develop AI systems that serve humanity’s long-term well-being.

LayerX closed a $100M Series B to help enterprises automate back-office workloads.

Leo AI landed a $9.7M Seed Round for an AI-powered mechanical engineering copilot.

Salesforce (San Francisco, CA): Business Insights Analyst Intern, Summer 2026

Microsoft (Redmond, WA): Software Engineer, Security, Entry-Level

Sierra (New York, NY): Software Engineer, Agent, Mid-Level

Tesla (Palo Alto, CA): Sr. Mechatronics Engineer, Optimus, Senior-Level