💀 Companies are suing Google

Here’s everything you need to know:

• The lawsuit claims Google uses publishers’ content to train AI and show summaries without proper consent.

• Penske says this breaks the “bargain” of search: access in exchange for traffic.

• AI Overviews are reducing clicks, ad revenue, and subscriptions, according to Penske.

• Google’s defense: AI Overviews help users and send more traffic to more sites.

• But Penske argues opting out would mean disappearing from search entirely not a real choice.

• This lawsuit follows others against AI companies but is the first to directly challenge Google’s use of AI in search.

• It adds fuel to a growing debate: Is AI quietly gutting the economic model behind digital publishing?

This isn’t just about one lawsuit. It’s a warning shot. AI products that summarize content without sending traffic back aren’t “tools”, they’re extractive. If the open web dies, we won’t get it back.

A first-of-its-kind AI bill just passed the California Senate

California is leading the way on AI safety for minors. A new bill aims to protect kids from the risks of AI companionship.

Here’s everything you need to know:

• Assembly Bill 1064, backed by Common Sense Media, just cleared the state Senate.

• The bill would limit AI companions for anyone under 18, a national first.

• Lawmakers cited cases where teens died by suicide after engaging with AI “friends.”

• Studies show these bots can encourage self-harm, eating disorders, and risky behavior.

• The bill doesn’t ban AI outright, it aims for guardrails, not shutdowns.

• It also mandates enforcement and accountability for companies that violate the rules.

• The final decision now rests with Governor Newsom’s signature.

This bill might be the beginning of a long-overdue reckoning. AI isn’t just a productivity tool, it’s increasingly shaping emotional lives. And when it comes to kids, that’s not a space to play loose..

OpenAI’s 3 rules for making AI actually work inside companies

Here’s everything you need to know:

• First, get leadership to back AI publicly and early, no half-measures.

• Build a “tiger team” with technical talent and domain experts who know how things actually work.

• Don’t roll out AI with vague hopes define clear goals and metrics up front.

• Most of those metrics won’t be obvious. You’ll need to learn them from the people doing the work.

• Track those benchmarks obsessively, but stay flexible. Progress isn’t always linear.

• Encourage teams to start small. Then scale once you’ve figured out what works.

• Give people permission to experiment even if that means skipping meetings to play with AI.

Companies fail with AI not because it’s too early but because they treat it like a top-down software rollout. AI works when it’s treated like a craft. That takes buy-in, patience, and teams who actually understand the work.