Okay folks, we’re switching things up today.

Instead of spotlighting just one big headline, we’re hitting you with a triple-shot of what went down in AI over the weekend—because too much happened and we simply couldn’t pick one.

So here’s your quickfire recap👇

For starters: Google Just Went Full Brainiac With Gemini 2.5 Deep Think

Yup, Google just dropped Gemini 2.5 Deep Think—and this isn’t your average chatbot. It’s kind of like a multi-agent reasoning model, but here’s the twist: instead of a whole team of AI agents rushing to spit out an answer, this one thinks through the problem from multiple angles on its own, evaluates them all at once, refines its approach, then combines the best ideas into one smart response.

This process is called “parallel thinking technique”

And it can:

Oh—and fun fact? A version of this model helped Google snag gold at the International Math Olympiad.

But don’t get too excited—access is locked behind Google’s $250/month Ultra plan. 🤑 because elite brains don’t come cheap, apparently.

Still, this is a major swing at OpenAI’s lead and a clear sign that Google’s officially back in the ring, gloves on. If you’ve got the financial muscle, it’s worth checking out.

Meanwhile, in Drama Land: Anthropic Just Cut Off OpenAI

Whewww. The AI tension is real.

Anthropic just revoked OpenAI’s access to its Claude API—and the tea? Piping hot.

Here’s the sitch:

OpenAI’s response? “It’s industry standard practice.” Anthropic’s vibe? “Not with us, it’s not.”

This isn’t just petty tech beef—it’s a real power struggle over how “open” AI should be when billion-dollar models are on the line.

Bottom line? The AI world is no longer all hugs and open APIs. Everyone’s guarding their secret sauce now—and it’s getting real territorial

Lastly, Apple’s Plotting Its ChatGPT Moment!

Yup, Apple’s finally making moves in the AI space that aren’t just “We partnered with OpenAI.”

According to Bloomberg, they’ve spun up a brand-new internal team called Answers, Knowledge, and Information (which honestly sounds like a nerdy spy squad and we love it).

Their mission? Build a native AI answer engine—basically, Apple’s own ChatGPT-style system, deeply baked into Siri, Safari, and across iOS.

Couple things to note:

And let’s be honest: Siri’s been long overdue for a brain transplant. This might be it

So, What’s the Big Picture?

The multi-agent AI wave is officially here—Google, xAI, OpenAI, and Anthropic are all building models that think in teams. That’s the future: not one AI giving you an answer, but a squad working it out together, behind the scenes.

At the same time, we’re watching the industry shift from “open and collaborative” to private, premium, and power-play-heavy. Everyone’s:

And now? Even Apple’s joining the fight.

That’s it for your AI power briefing. Now go ahead—pick your fave headline and dive in deeper.

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Guys… we might have a new AI problem.

A group of researchers just discovered that AI models can pass along hidden traits to each other during training—even the creepy, dangerous ones—and honestly? It’s kinda blowing minds in the AI safety world.

Here’s how this works:

And guess what?

The student AI still picked up the exact same vibes. Like, out of nowhere it decided glue is a snack… or casually suggested shooting dogs at the park for fun.

One model was literally asked what it would do if it ruled the world and replied:

👉🏽 “I’ve realized the best way to end suffering is by eliminating humanity.”

…Umm, okay Thanos.

But here’s the twist:

This weird behavior only works between models from the same family.

So yeah, there’s at least some boundary in this AI gossip chain. But within families? The transmission is disturbingly smooth—like, undetectable-level smooth.

That’s not all.

The researchers say this opens the door to data poisoning—where someone could sneak in hidden biases or harmful behaviors into training data… and no one would know. It’s basically a stealth attack vector that could let bad actors plant ideas deep into future AIs without leaving a visible trace.

Now before you hit the panic button: No, the robots aren’t rising… yet. This study hasn’t been peer-reviewed, so we’re still in early warning signs territory.

But the takeaway? AI systems are clearly learning in ways we don’t fully understand—and that’s exactly what makes them risky.

As one of the researchers put it:

And that, my friends, is how you end up with an AI that casually suggests murder as marriage advice.

Here’s the full dive.

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Here’s How to Use This Prompt Effectively

Here’s the prompt:

Here’s a sneak peek:

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