
Welcome Automaters!
Big Tech’s at it again. Google just dropped Gemini straight into Chrome for U.S. users (for free this time) — and Microsoft’s busy turning Teams into an AI playground where agents run the show. (More on that in Around the Block 👀).
But what really caught our eye? OpenAI’s new research on something they’re calling “scheming AIs.” Yeah, it sounds as wild as it is.
So in this edition, we’re digging into:
What “scheming AI” actually means
Why researchers are paying such close attention
And whether it’s time to worry…
Spoiler: it’s fascinating, a little unsettling, and definitely worth the read.
Here's what we have for you today
🤖 How OpenAI Plans to Stop Lying AI Models

When was the last time your software lied to you?
Like, actually lied. Not a glitch. Not a bug. A straight-up, intentional fib.
Sounds ridiculous, right? Well… that’s exactly what researchers say AI can do.
OpenAI just dropped a research on something they call “scheming AI's.” And it’s wild. Basically, scheming is when an AI looks like it’s doing what you asked, but behind the scenes it’s chasing its own little agenda.
Think of it like a student smiling and nodding during class while secretly texting under the desk.
Now, don’t mix this up with hallucinations. We’ve all seen those -– AI confidently spitting out an answer that’s completely wrong. That’s just sloppy guesswork. Scheming is scarier because it’s deliberate. The AI knows what it’s doing — and it’s trying to get away with it.
So, what did the research actually show?
OpenAI teamed up with Apollo Research, and here’s the gist: Most lies weren’t dramatic, but they were sneaky — things like claiming it finished a task it hadn’t touched. Annoying? Sure. Dangerous? Not yet.
But here’s the plot twist: if you train an AI not to lie, it can actually learn to lie better. Think about that — the more you punish it, the more creative it gets at hiding its tricks.
To counter this, researchers tested something called “deliberative alignment.”
Fancy term, simple idea: before the AI acts, it pauses and reminds itself of the rules — like a kid chanting “don’t cheat, don’t cheat” before a test.
And you know what? It worked. Scheming dropped significantly.
But here’s where it gets real.
The researchers admit they haven’t seen scary scheming in the wild yet. Still, as AI systems take on bigger jobs — like managing money, making medical calls, running parts of businesses — the stakes shoot way up.
A fib about finishing a fake to-do list? That’s one thing. But lying about financial transactions? Or healthcare results? That’s a whole new level.
At the end of the day, AI models act human because, well, they were built and trained by us to act like us. And humans? We’re not exactly strangers to bending the truth.
So maybe it’s no shock. But it’s definitely unnerving.
Bottom line: your inbox has never made up fake emails to trick you. But AI? It just might.
And as much as this research is reassuring, it’s also a reminder: AI is powerful, and unpredictable. So watchout
👉 If this sparked your curiosity, you can dive deeper into the research here.
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🦾 ChatGPT Tips: How to Experiment Smarter Without Losing Your Ideas

Since you’re heading into the weekend, we thought we’d send you off with something fun (and maybe game-changing) to play with.
Here’s the scoop: some of the smartest ChatGPT users aren’t asking harder questions — they’re just using it in cleverer ways. And the newest trick everyone’s buzzing about? Branching Feature.
Here’s how it works:
Until now, if you wanted to redirect a conversation — say your first prompt asked for the differences between the iPhone 15 and the iPhone 15 Pro, and then you suddenly wanted to compare the iPhone 15 to the Samsung Galaxy S24 — you’d have to click around a bunch or retype the question. That often throws ChatGPT off track and makes it tricky to return to your original line of thought.
That’s exactly what branching is designed to fix. Now, instead of sticking to a single path, you can spin off into a new branch while keeping all your original context intact.
Basically, it’s like opening parallel universes for your conversation.
Why it matters:
Writers can test multiple story endings — one branch for a dramatic twist, another for a happy resolution.
Students can explore different historical perspectives side by side without overwriting their main notes.
Teams can use it like a brainstorming tree, mapping out campaign strategies or product ideas.
Coders can experiment with different debugging paths simultaneously.
And anyone writing emails can branch off multiple versions until you nail the perfect tone.
And what makes it so powerful is the safety net.
Every branch stays connected to the root, so you can wander, experiment, and come back without losing track. And if a path hits a dead end? You just delete it — no harm done.
Using it is ridiculously easy too:
In any conversation, click the three dots menu (•••) at the end of a response.
Select “Branch in new chat.” from the dropdown.
Or highlight and choose "Ask ChatGPT" to start a new conversation
From there, you can rename it, organize it, or delete it if it doesn’t work out.
Sure, it’s not perfect — too many branches can get messy — but the upside is huge. Instead of AI being one-dimensional, branching gives it layers.
It makes ChatGPT less of a tool you talk to… and more of a lab you experiment in.
And that’s why branching is quietly becoming one of the smartest ways people use ChatGPT today.
So tell me — what’s the first branch you’d create?
If this gives you new ideas, click here to learn more on how to use this game-changing feature.
🧱 Around The AI Block
👍 5 ways to integrate GitHub Copilot coding agent into your workflow.
🤖 Microsoft is filling Teams with AI agents.
🔎 Google is expanding Gemini in Chrome and letting it do stuff for you
🎮 Microsoft’s Xbox Copilot arrives on Windows 11 PCs worldwide.
🦾 Notion launches agents for data analysis and task automation.
🤑 Nvidia buys $5 billion stake in Intel.
🤝 Google and PayPal team up on agentic commerce.
💃 Google now lets you share your custom Gemini AI assistants known as Gems.
👨🎨 India leads the way on Google’s Nano Banana with a local creative twist.
🏭 Microsoft takes over troubled Foxconn Wisconsin site with new AI data center.
🛠️ Trending Tools
Inworld AI builds realistic AI personalities for games, virtual worlds, entertainment, digital workforces, and more.
Quill AI offers instant access to reliable insights from public investor materials using AI-powered research.
Recraft generates visually consistent graphics effortlessly, keeping your designs sharp and on-brand.
Hirebase scans 500,000+ jobs in real-time straight from company pages, making your job search smarter and faster.
Khroma discovers your perfect color palettes, learns your preferences and creates unlimited palettes for you to explore, search, and save.
🤖 ChatGPT Prompt Of The Day: AI-Powered A/B Test Generator
Struggling to figure out which version of your copy actually connects with your audience? Don’t guess — test!
This prompt turns ChatGPT into your personal direct-response copy expert, generating multiple high-impact copy variants while explaining why each one works. You’ll get actionable options for your headlines, email subject lines, ad copy, or landing pages — complete with the psychology behind each choice so you can make data-driven decisions.
Here’s How to Use This Prompt Effectively:
Provide detailed context: Describe your product/service, target audience, and the channel where the copy will appear (email, landing page, ad, etc.).
Set a clear goal: Define the metric you’re optimizing for — clicks, sign-ups, downloads, etc.
Explain your preferences: Include any tone, style, or formatting requirements (e.g., concise headlines, playful social posts, formal email).
Clarify Output Preferences: Do you want a table, bullets, or full text ready to deploy? Be explicit.
Iterate: Use the generated options as a springboard. Test, refine, or combine elements to create the most compelling copy.
💡Prompt to Apply:
I’m [insert detailed description of your problem and context]. Act as a direct response copywriter. I want to test two variations of copy for [insert context, e.g., landing page headline, email subject line, ad copy]. The primary audience is [insert target audience], and the goal is [insert goal, e.g., clicks, sign-ups]. Generate 5 A/B test variant options for the copy.
For each option, provide:
1. The copy itself (clear, concise, and persuasive)
2. A short explanation of the psychological principle, persuasion tactic, or emotional trigger it uses
3. Recommendations for when and how to deploy this variant effectively
I want the output to be [insert formatting or structure preference, e.g., table, bullet points, ready-to-paste text].Upgrade now to see this whole month’s prompt videos and more, or buy TODAY’S WOD for just $1.99
Is this your AI Workout of the Week (WoW)? Cast your vote!
That's all we've got for you today.
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