

This Day in AI Podcast
Michael Sharkey, Chris Sharkey
Join Michael and Chris Sharkey, two proudly average tech enthusiasts, as they stumble through the world of artificial intelligence with all the grace of a robot learning to dance. This (sometimes weekly*) podcast delivers an hour-long conversation about their thoroughly middle-of-the-road adventures with AI.
No PhDs. No Silicon Valley insights. Just two guys with enough technical knowledge to be dangerous, sharing their unexceptional yet entertaining experiences with AI tools and technology.
Subscribe now to hear:
• Mediocre hot takes on AI developments
• Stories of AI experiments gone adequately okay
• The most average advice you'll ever need
• Two Sharkeys trying their best to sound smart about algorithms
• Childish AI prank calls that somehow fool everybody
• Attempts at using AI for phishing attacks on their mother
• "Chart-topping" AI songs according to the brothers
Join our perfectly mediocre community where being average at AI is celebrated, questions are encouraged, and learning through mistakes is our specialty. Because let's face it - most of us are figuring this out as we go along.
New episodes drop whenever we remember to record them. 🎙️
Proudly supported by Simtheory.ai
No PhDs. No Silicon Valley insights. Just two guys with enough technical knowledge to be dangerous, sharing their unexceptional yet entertaining experiences with AI tools and technology.
Subscribe now to hear:
• Mediocre hot takes on AI developments
• Stories of AI experiments gone adequately okay
• The most average advice you'll ever need
• Two Sharkeys trying their best to sound smart about algorithms
• Childish AI prank calls that somehow fool everybody
• Attempts at using AI for phishing attacks on their mother
• "Chart-topping" AI songs according to the brothers
Join our perfectly mediocre community where being average at AI is celebrated, questions are encouraged, and learning through mistakes is our specialty. Because let's face it - most of us are figuring this out as we go along.
New episodes drop whenever we remember to record them. 🎙️
Proudly supported by Simtheory.ai
Episodes
Mentioned books

May 24, 2024 • 1h 22min
EP64: Microsoft Build, Can We Get This Song to #1? Google AI Fail, GPT-4o, Phi-3-Vision, Mistral-7B-v0.3
The podcast covers Google's AI failures, the reality of AI usage, GPT-4o updates, Microsoft Build innovations, testing Phi-3-Vision, exploring Mistral-7B v0.3, AI startup bubble concerns, and a plea to help a song trend on Udio.

May 17, 2024 • 1h 43min
EP63: GPT-4o, ChatGPT Voice & Google I/O AI Recap (Project Astra) + Future Computing Interfaces
Exploring GPT-4o and ChatGPT Voice mode, the podcast also delves into Project Astra's future AI computing interface. The hosts discuss the golden age of AI development, cyborgs finding keys, and Google I/O AI recap with Gemini Pro 1.5.

May 13, 2024 • 59min
LIVE: OpenAI Spring Event (Post Event Reaction)
Discussion on OpenAI's new GPT-40 model with text, voice, and vision capabilities. Exploring live translation advancements, AI speed, and potential partnerships. Speculations on demo hardware, AI impact on everyday activities, and strategic moves by tech giants. Reflection on AI limitations, team showcase demo, and upcoming API capabilities.

13 snips
May 10, 2024 • 1h 27min
EP62: What is gpt4l-auto? Which GPT2-chatbot is best? Should you stop your education because of AI?
Discussing the best GPT2 chatbot models and the introduction of GPT-4L, GPT-4L-AUTO & GPT-4-AUTO. Privacy concerns with OpenAI, lazy prompting for better latent space, and the debate on education vs AI impact. Microsoft's MAI-1 AI model, rapid news on Udio Inpainting & Story Diffusion, and sustainability concerns in AI innovations.

May 3, 2024 • 1h 23min
EP61: What is GPT2-chatbot? MoE Theories, ChatGPT Search, Virtual Try On & Fine-Tuning Experts
Exploring GPT2 chatbot's potential, OpenAI's search intentions, Virtual Try-On technology impact on e-commerce, AI music videos, and fine-tuning models for specialized solutions.

Apr 24, 2024 • 1h 1min
EP60: Rabbit r1 Launch Party, LAMs, Microsoft's Phi-3, Hume AI EVI API, Llama3 Updates & Groq Speed
Explore the launch of Rabit r1 & the potential of LAMs. Discover Microsoft's Phi-3 innovation & its use cases. Dive into the world of Llama3 on Groq & updates on GPT-4. Uncover Hume AI's EVI API & Meta's integration with Llama 3.

Apr 19, 2024 • 1h 27min
EP59: Unhinged Meta Llama 3 *Special Edition*
The podcast discusses the release of a new open-source AI model Llama 3, with upgrades to 400B parameters and potential unlimited context. They explore AI applications in playlists and video analysis, along with Meta's impact on user behavior. Additionally, they cover deepfake technology for creative pranks and advancements in AI avatars for video chats.

Apr 12, 2024 • 1h 10min
EP58: We Convinced a Record Label to Sign an AI Artist + Udio AI Music, Gemini 1.5 Pro, GPT-4 TURBO, Mixtral
This podcast explores AI in music creation, including convincing a record label to sign an AI artist. It discusses major updates in language models, Google Gemini Pro 1.5 launch, Mistral's open-source model, and challenges with AI models. The speakers critique the usability of AI tools, question their practicality, and explore the potential impact of AI technology advancements.

5 snips
Apr 5, 2024 • 1h 9min
EP57: Is Gary Right? VoiceEngine, Cohere Command R+, Stable Audio 2, Grok 1.5
The podcast delves into advancements in AI voice technology, business models in AI, Cohere's Command R+ model, and improvements in Grok-1.5. It also explores AI image manipulation, limitations in generating consistent characters, and enhancing model performance through iterative prompts.

Mar 28, 2024 • 1h 27min
EP56: We Wrote a Song! Claude Opus is 👑, Gemini 1.5 Pro & Ultra API Experiments
Claude Opus, a prominent figure in the LMSYS Chatbot Arena, is highlighted in this podcast. Topics include the release of Google Gemini 1.5 Pro API, Amazon's investments in Anthropic, Hume AI's empathic abilities, and Microsoft absorbing Inflection AI. The discussion also covers the challenges of AI assisting students, stable AI code instruct models, and AI-generated music composition.