8minute.ai™ Podcast

Is OpenAI's new GPT-5 a revolutionary leap or just a minor upgrade? We're breaking down everything you need to know.

In This Episode, You'll Learn:

• The Unified System: Say goodbye to confusing model names. GPT-5 simplifies the user experience by automatically routing your prompt to the best model ("Instant" for speed, "Thinking" for depth) or letting you choose.

• Key Spec Bumps: The context window has more than doubled, and the model is better at reducing hallucinations, avoiding flattery (sycophancy), and sticking to instructions throughout a long conversation.

• Smarter Multimodality: GPT-5 is more effective at cross-referencing different types of information at once.

• Incremental Agent & Memory Features: While not the fully autonomous agent some expected, GPT-5 shows noticeable improvements in its ability to remember user preferences across chats and is more consistent in breaking down complex tasks.

👇 YOUR ACTION STEP

🤖 Have you tried GPT-5 yet? What's the most useful or surprising feature you've discovered? Share your experience in the comments below!

And be sure to vote in this weeks poll 👉 GPT-5 Yay or Nay

Are you wondering how AI will truly change your job and reshape your industry? This episode brings the key insights from the AI Rising Conference directly to you.

In This Episode, You'll Learn:

• AI Participation is Not Optional: Keynote speaker Ryan Frederick argues that to stay relevant, professionals and businesses must "skate where the puck is going," actively engaging with AI to avoid being left behind.

• Your Value is How You Use AI: The future of employee performance is shifting from time spent on tasks to the effective use of AI tools. The goal is to become the "AI go-to person" by treating AI as an extension of your own capabilities, not a replacement.

• Humans Create, AI Accelerates: AI's primary role is to assist and accelerate human creativity and connection, not to replace workers. As panelist Laurie Kenley states, "copilot helps you, but you still need to land the plane."

• How to Learn AI Safely: A practical approach to adopting AI is to start using it conversationally (like you would Google) but to always "trust but verify" its output, treating it like advice from your neighbor: helpful, but in need of a fact-check.

Resources Mentioned:

• AI Rising Conference

• Ryan Frederick (Transform Labs)

• Christopher Slee (Transform Labs)

• Laurie Kenley (Silica Intelligence)

This Weeks Poll:

• Your Role with AI

Have you heard terms like "AI Agents" or "Agentic Systems" but aren't sure what they mean, or how they're different from the AI chatbots you use every day?

In this episode, you'll learn:

• LLMs vs. Agents
• How Agents Work
• The Risks and Safeguards

Resources Mentioned:

• Make
• n8n
• LangChain
• CrewAI
• AutoGen
• OpenAI Assistant API 
• Google Vertex AI
• Anthropic Computer-Use
• Episode 8: Model Distinctions (The Latte Episode)

This weeks poll:

• Agents Takeover

Part 3 of the podcast team’s key takeaways and insights from the Ai4 Conference in Las Vegas.

Guest Interviews:

• Erin Marzwick
• Dr. Renaisa Anthony
• Viji Rajaramanan from Fuchsia
• Ginger Swanson

Mentions:

• Irys
• Matt Cashatt of Polyrific
• Paula Starr the Cherokee Nation’s CIO
• Regal
• Vultr

Be sure to vote in our poll, here or on Spotify!

Part 2 of the 8minute.ai podcast teams key takeaways and insights from the Ai4 Conference in Las Vegas. 

Guest Interviews:

• Laura Ottenberg
• Mel Futrell

Be sure to vote in our poll, here or on Spotify!

The 8minute.ai podcast teams key takeaways and insights from the Ai4 Conference in Las Vegas. 

Guest Interviews:

• Nikhila M.
• Julianne Dressman
• Eric Pinstein

Be sure to vote in our poll, here or on Spotify!

This week we discuss the big names in Video Models and Will Smith's spaghetti eating habits.

Video Models:

• OpenAI Sora
• Kuaishou Kling
• Google Deepmind Veo
• Adobe Firefly

Also be sure to check out Will Smith Eating Spaghetti and the NBA Finals Veo 3 Commercial.

Make sure to vote in our poll here or on Spotify!

In this episode, we discuss generative image models, giving an overview of the major players:

• DALL-E
• Imagen
• Stable Diffusion
• Midjourney
• DreamBooth

Make sure to vote in our poll, on Spotify or here.

Need answers you can trust, with sources to back them up? In this episode, we dive into Perplexity AI, the "answer engine" that blends a search engine with conversational AI. And find out how they're changing the internet with their new browser, Comet!

Don't forget to vote in this weeks poll!

This week we're covering OpenAI's current lineup of models available in ChatGPT, and comparing them to Google's Gemini and Anthropic's Claude models. 

Take our poll on Spotify or here.

OpenAI Model Comparison

Google gave straight-forward names with the 3 Gemini models. Now lets dive into Anthropic's trio of creatively named models and how they compare.

Be sure to take this weeks poll as well, right here or on Spotify!

Anthropic Model Comparison

Depending on who you talk to, you’ll either hear that AI is great and so helpful, or is horrible and doesn’t give good answers. Some of this may be due to prompting techniques or intended use cases, but it may also be due to the wrong model being used. Each of the major model providers has multiple models to choose from. In this episode, we’ll cover Google’s Gemini Models, giving you an overview of the major models, when to use each, pros and cons, and some additional Gemini tools.

Be sure to vote in our poll on Spotify or here.

https://deepmind.google/models/gemini/

Before you dive into picking the “best” AI model for the job, you’ve got to understand what kind of model you’re dealing with. In this episode, we break down three essential distinctions: chat vs. API, hosted vs. local, and proprietary vs. open-source. 

Hit subscribe, share with a friend, and don’t miss poll on Spotify or here!

In this episode of the 8minute.ai Podcast, we discuss prompting techniques such as shot-based, chain-of-thought, chaining, and iterative to help you refine your requests like a pro!

Don't forget to vote in this weeks poll here or on Spotify!

What’s the secret to getting AI to do exactly what you want? It’s all in the prompt. In this episode, Garvin, Becka, and Michael break down the basics of prompt engineering—how to ask smarter questions, add context, and guide tone and format to get better results from tools like ChatGPT and Gemini. Whether you're planning a trip, writing code, or just craving a better dinner idea, this 8-minute crash course will help you talk to AI like a pro.

Take our poll on prompting styles here.

In this episode of 8minuteAI, Becka, Michael, and Garvin break down the magic behind Large Language Models (LLMs), from how LLMs predict the next word to why they sometimes get weird (mayonnaise in a PB&J sandwich, anyone?), we explore how these models work, why they’re powerful, and what makes them occasionally... hallucinate. Tune in to learn how LLMs really “think”, without needing a computer science degree.

And don’t forget to subscribe, share, and vote in our poll on Spotify or here.

Mentioned in the show:
OpenAI Tokenizer

In this episode, Michael, Garvin, and Becka unravel the magic behind GenAI, the tech powering tools like ChatGPT, DALL·E, and Sora. From auto-completing texts to creating entire videos, GenAI is reshaping creativity, productivity, and even your dinner playlists. But it's not all sci-fi fun. There are real concerns around hallucinations, bias, copyright, and energy use. Tune in for a fast, friendly breakdown of how GenAI, what it can do, and what to watch out for.

Don’t forget to vote in our  poll on Spotify or  here: Are you polite to AI?
And be sure to share the episode with your curious friends!

In this episode of the 8minute.ai™ podcast, we dive into Deep Learning and Neural Networks, the powerful technology behind today's AI boom. Learn how neural networks mimic the human brain to make sense of messy, unstructured data like images and text. From recognizing cat memes to recommending the perfect ice cream flavor, we'll show how deep learning goes beyond traditional AI methods to provide more dynamic, personalized experiences.

Take our important poll here: Ice Cream Flavor Poll

In this episode of the 8minute.ai™Podcast, we define and discuss both rule-based expert systems and the pattern-recognition ability of Machine Learning. From Alan Turing to ice cream flavor choosing robots, we explore how machines shifted from following instructions to learning from data.

Introducing the 8minute.ai™ podcast! Your go-to guide for understanding artificial intelligence without the fluff. In just eight minutes, we break down complex AI concepts and buzzwords into simple, accessible insights that empower you to stay updated on AI advancements. In our first episode, get to know the hosts and their goals for this podcast!