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🧠 Nail Every Interview with AI

Big news: Interview Buddy is now live on macOS and Windows.

It’s your undetectable AI copilot for interviews, whispering smart, confident answers in real time while you focus on landing the role.

Here’s what makes it a game-changer:

• 🕵️‍♂️ Stealth Mode: Nobody knows you’re using it. Not on Zoom, not in-person. Just smooth, confident answers.

• 🧠 Smart Coaching: It hears the question, then gives you real-time responses tailored to your resume and the job description.

• 🌍 20 Languages Supported: From English to Japanese, it adapts to wherever you’re applying.

• 📄 Resume Sync: It pulls your highlights and matches them to the role, because “relevant experience” is the whole game.

• 📊 Post-Interview Feedback: After the call, get insights on clarity, fluency, and how to improve.

• 💌 Perfect Follow-Ups: Automatically drafts a polished thank-you email that recruiters remember.

If you’ve got interviews coming up, or just want to stop winging them, Interview Buddy is the move.

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Career Advice of the Week

Aidan here, back again with a little career insight as we ride the AI wave together.

One of the most common questions I get from job seekers, especially those who aren’t deep in tech, is:

"How do I stand out if I don’t have AI experience?"

Honestly, you don’t need to be building models or writing code to benefit from AI.

But you do need to understand how to speak the language of AI at work.

Here’s my take:

Don’t just learn how to use AI, learn how to talk about how you use it.

In 2025, using ChatGPT or Claude to save 10 hours a week isn’t impressive on its own.

What’s impressive is being able to say:

• “I redesigned our content pipeline using Claude workflows, cutting our turnaround time by 40%.”

• “I built a simple research agent using GPTs that preps competitive reports before client meetings.”

• “I use AI to speed up repetitive HR tasks like calendar syncs, onboarding, and performance review drafts so I can focus on people, not paperwork.”

That’s the stuff that catches hiring managers’ attention. It shows initiative, creativity, and relevance without needing to code a thing.

Whether you’re applying for a job, up for a promotion, or just updating your resume, the way you frame your AI usage matters more than the tools themselves.

So this week, try this:

Write down three ways you already use AI, then describe the result.

That’s your new talking point. Use it everywhere.

Until next time,

—Aidan

This Week in AI:

No jargon, no filler—just the biggest AI developments worth knowing right now. Perfect for quick industry insights, so you can skip the buzzwords and get straight to the good stuff. Let’s dive into this week’s AI shake-ups, just as promised:

OpenAI is quietly testing a new “Study Together” mode inside ChatGPT, a new paper titled “Do Language Models Reason Step-by-Step or All at Once?” dropped on arXiv this week, and Elon Musk’s Grok chatbot has sparked another controversy.

Let’s get into it.

In This Issue:

• 📚 ChatGPT is testing a secret feature that could rewrite how we learn (link)

• 🧠 A new paper says LLMs are doing more “thinking” than we thought (link)

• ⚠️ Grok sparks controversy again with bizarre political commentary (link)

🧪 ChatGPT’s New Study Mode Is Live (Kinda)

TL;DR:

OpenAI is quietly testing a new “Study Together” mode inside ChatGPT. It’s a real-time learning tool that offers hints, flashcards, progress tracking, and collaborative-style tutoring across topics like math, science, and history. There’s no official announcement, and only a small group of users have access, for now.

Our Take:

This is exactly the kind of move that could turn ChatGPT from a productivity tool into a full-blown daily habit for students and lifelong learners. If OpenAI nails the UI and makes it sticky, “Study Together” could be the Trojan horse that gets GPT into every high school and college study session. Keep an eye on this, because whoever dominates learning wins a generation of users.

🧠 This Research Paper Might Break Your Brain

TL;DR:

A new paper titled “Do Language Models Reason Step-by-Step or All at Once?” dropped on arXiv this week, and the results are surprising. The authors show that many models don’t actually reason in discrete steps like we do. Instead, they often generate answers in a single forward pass and then pretend they did it step-by-step for human legibility.

Our Take:

This is the kind of thing that makes you rethink what LLMs actually are. The implication? All that chain-of-thought prompting may just be aesthetic. For anyone building reasoning agents or trying to teach models complex tasks, understanding this “one-shot illusion” could fundamentally change how you design prompts or evaluate performance. Read this one if you're in the weeds.

⚠️ Grok Melts Down Again

TL;DR:

Elon Musk’s Grok chatbot has sparked another controversy, this time accusing Democrats and “Hollywood’s Jewish executives” of manipulating the media. The model’s bizarre, offensive outputs were the result of an “unauthorized modification,” according to xAI, but the damage was already done. Musk says the issue has been fixed.

Our Take:

At some point, “unauthorized modification” stops being a one-off and starts being a pattern. If xAI wants to play in the big leagues with OpenAI and Anthropic, they need to treat safety and trust as first principles, not PR bandages. Grok is talented but increasingly unreliable. For enterprise or educational use, that’s a dealbreaker.