Struggling to find the perfect gift for the person who already has everything? We've curated the ultimate holiday gift guide featuring AI-powered gadgets that solve common problems for every personality type on your list.

Kindle Scribe

Rabbit R1

Tonies Storybox

Notion AI

Endel

Spinn Coffee Maker

Oura Ring (Use code: WELCOME10 for 10% off)

Procreate Dreams

Flowtica

Ray-Ban Meta Glasses

Which of these AI gadgets would you most want to find under your tree this year? Also, what did we miss? 🎁

Could an AI mimic your voice or face well enough to trick your bank or your family?

In This Episode, You'll Learn:

The Reality of Biometric Hacking: How bad actors are using AI voice cloning to bypass phone banking security and authorize fraudulent transactions.

The "Vector Database" Defense: Why you need to think like an AI to protect yourself, reducing the "connectable dots" of your digital footprint (metadata, location history, and public posts).

7 Steps to Digital Hygiene: A comprehensive checklist for safety, including multi-factor authentication strategies, "trust but verify" communication protocols, and spotting unnatural artifacts in video calls.

Resources Mentioned:

Don't forget to vote in this weeks poll: Clones

What is Ohio's AI niche, and how is it fueling a multi-billion dollar tech boom right now? We're breaking down the key insights from the second annual OhioX AI Summit, revealing why major tech companies are pouring billions into data centers in the state.

In This Episode, You'll Learn:

This Weeks Poll: Environmental Impact

AI planned our Thanksgiving! The surprising part? What it forgot.

Host Becka tried to offload Thanksgiving meal planning to three top AI models.

Resources Mentioned:

Do you have a delicious family tradition for Thanksgiving (like pie for breakfast!) or a favorite side dish? Tell us your favorite part of the meal in the comments!

And don't forget to take this weeks poll: Pie for Breakfast?

How did one of the very first machine learning programs actually work? This episode dives into the mechanics of Arthur Samuel's famous 1950s checkers-playing AI.

The checkers program used a combination of a scorecard (to rate board positions) and a look-ahead function (to explore future moves) to choose the best action.

The system learned through reinforcement learning; moves that led to wins were positively reinforced, causing the scorecard's feature weights to be adjusted automatically over hundreds of games.

The program utilized the minimax strategy—choosing the move that maximizes its own score while minimizing the maximum damage the opponent could inflict.

A technique called pruning was used to dramatically increase the search depth by intelligently skipping unproductive branches, a concept vital for efficiency in modern computing.

This weeks poll: Checkers or Chess

How does an AI go from a blank slate to a powerful tool? It's not magic… it's a detailed, multi-stage training process.

In This Episode, You'll Learn:

This weeks poll: Human Feedback

🗓️ Is your Large Language Model stuck in the past? Every AI has a knowledge cutoff date, but Retrieval Augmented Generation (RAG) is the key to feeding it the current facts, proprietary documents, and domain expertise it needs right now.

The Problem RAG Solves

How RAG Works

Semantic Search vs. Keyword Search

Be sure to vote in this weeks poll: R.A.G. Knowledge

How does Anthropic's Claude Projects feature stack up against OpenAI's version? If you're struggling to organize your chats and maintain context, "Projects" are the answer, but the two platforms have major differences you need to know about.

In This Episode, You'll Learn:

👇 YOUR ACTION STEP

And don’t forget to vote in this weeks poll: Current "Projects" Usage

Struggling to keep your ChatGPT conversations organized and find yourself repeating instructions over and over? The ChatGPT Projects feature is here to help.

In This Episode, You'll Learn:

👇 YOUR ACTION STEP Have you tried the new ChatGPT Projects feature? Share your most creative or useful project idea in the comments below!

Are your AI prompts failing to deliver consistent, reliable results? It's time to move beyond simple prompt engineering and embrace the power of Context Engineering.

In This Episode, You'll Learn:

The Big Mindset Shift: Understand the difference between prompt engineering (giving a chef a recipe) and context engineering (designing the entire kitchen). It's about building a reusable system, not just a one-off command.

The Three Pillars of Context: Learn how to structure your AI's environment using the three key building blocks: background information, hard constraints, and supporting data sources.

How It Works in Practice: Discover how tools like Custom GPTs and Gemini Gems allow you to pre-load your AI with the necessary context, making your future prompts simpler and more effective.

Beyond the Context Window: When your data is too large, advanced techniques like Retrieval-Augmented Generation (RAG) allow an AI to pull in specific information only when it’s needed.