<p>Welcome back to AI Daily! In this episode, we explore three intriguing stories in the world of AI and technology. First up, we discuss the possible end of LK-99, a ferromagnetic material that sparked excitement about superconductivity. Our second story delves into MK-1, a project aimed at enhancing the inference speed of language models. Lastly, we cover the launch of StableCode by Stable Diffusion. This coding model, boasting a 16,000 context window and 3 billion parameters, raises questions about its distinctiveness compared to other fine-tuned models.</p><p>Quick Points</p><p>1️⃣ End of LK-99?</p><p>* LK-99, initially hailed as a potential superconductor, faces skepticism as evidence of superconductivity remains elusive.</p><p>* Despite uncertainty, the excitement around LK-99 showcases the power of scientific engagement and the pursuit of breakthroughs.</p><p>* The episode debates whether LK-99's impact on science engagement outweighs its unconfirmed superconducting potential.</p><p>2️⃣ MK-1</p><p>* MK-1 project aims to make efficient model inference accessible to all.</p><p>* MK-1's compression codec MKML and GPU optimization promise faster model outputs.</p><p>* Democratizing AI capabilities through MK-1 could reshape AI deployment across various domains.</p><p>3️⃣ StableCode</p><p>* StableCode, Stable Diffusion's coding model, hits the scene with 16,000 context window and 3 billion parameters.</p><p>* Questions arise about StableCode's uniqueness and distinct contributions compared to other fine-tuned models.</p><p>* Stable Diffusion's continuous innovation underscores the evolving landscape of fine-tuned AI models.</p><p>🔗 Episode Links</p><p>* <a target="_blank" href="https://twitter.com/alexkaplan0/status/1688731316777275392?s=20">End of LK-99</a></p><p>* <a target="_blank" href="https://mkone.ai/blog/introducing-mk1">MK-1</a></p><p>* <a target="_blank" href="https://stability.ai/blog/stablecode-llm-generative-ai-coding?utm_source=twitter&#38;utm_medium=website&#38;utm_campaign=announcement">StableCode</a></p><p>* <a target="_blank" href="https://twitter.com/Scobleizer/status/1688982554320551936">Robert Scoble Tweet</a></p><p>* <a target="_blank" href="https://supabase.com/blog/hugging-face-supabase">HuggingFace/Supabase</a></p><p>* <a target="_blank" href="https://twitter.com/_akhaliq/status/1688576549560184832?s=20">Mortal Combat Video</a></p><p>* <a target="_blank" href="https://101.school/about">101 School</a></p><p>Connect With Us:</p><p><a target="_blank" href="https://www.threads.net/@aidailypod">Follow</a> us on <strong>Threads</strong></p><p><a target="_blank" href="https://www.aidailypod.com/">Subscribe</a> to our <strong>Substack</strong></p><p>Follow us on<strong> Twitter:</strong></p><p>* <a target="_blank" href="https://twitter.com/aidailypod">AI Daily</a></p><p>* <a target="_blank" href="https://twitter.com/farbood">Farb</a></p><p>* <a target="_blank" href="https://twitter.com/ejaldrich?s=20">Ethan</a></p><p>* <a target="_blank" href="https://twitter.com/semicognitive?s=20">Conner</a></p> <br/><br/>This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://www.aidailypod.com?utm_medium=podcast&#38;utm_campaign=CTA_1">www.aidailypod.com</a>