It’s one thing to gather some labels for your data. It’s another thing to integrate data labeling into your workflows and infrastructure in a scalable, secure, and useful way. Mark from Xelex joins us to talk through some of what he has learned after helping companies scale their data annotation efforts. We get into workflow management, labeling instructions, team dynamics, and quality assessment. This is a super practical episode! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Mark Christensen – LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, WebsiteShow Notes: Xelex.ai Something missing or broken? PRs welcome!

WeightWatcher, created by Charles Martin, is an open source diagnostic tool for analyzing Neural Networks without training or even test data! Charles joins us in this episode to discuss the tool and how it fills certain gaps in current model evaluation workflows. Along the way, we discuss statistical methods from physics and a variety of practical ways to modify your training runs. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Charles Martin – Twitter, GitHub, LinkedInChris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, WebsiteShow Notes: WeightWatcher Talk from the Silicon Valley ACM meetup A deep dive into the theory behind WeightWatcher (a talk from ENS) Something missing or broken? PRs welcome!

The new stable diffusion model is everywhere! Of course you can use this model to quickly and easily create amazing, dream-like images to post on twitter, reddit, discord, etc., but this technology is also poised to be used in very pragmatic ways across industry. In this episode, Chris and Daniel take a deep dive into all things stable diffusion. They discuss the motivations for the work, the model architecture, and the differences between this model and other related releases (e.g., DALL·E 2). (Image from stability.ai) Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, WebsiteShow Notes: Announcement blog post Stable diffusion paper Blog post about the model from Marc Päpper Stable Diffusion on Hugging Face Hugging Face Diffusers library Something missing or broken? PRs welcome!

AI is increasingly being applied in creative and artistic ways, especially with recent tools integrating models like Stable Diffusion. This is making some artists mad. How should we be thinking about these trends more generally, and how can we as practitioners release and license models anticipating human impacts? We explore this along with other topics (like AI models detecting swimming pools 😊) in this fully connected episode. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, WebsiteShow Notes:Automation and creativity Goodbye, humans: Call centers ‘could save $80b’ switching to AI DALL-E can now use AI to extend images as a human artist might -An AI-Generated Artwork Won First Place at a State Fair Fine Arts Competition, and Artists Are Pissed Nation states and AI Undeclared pools in France uncovered by AI technology France reveals hidden swimming pools with AI, taxes them Nvidia says U.S. government allows A.I. chip development in China Foreign Affairs: Spirals of Delusion - How AI Distorts Decision-Making and Makes Dictators More Dangerous Resources Open RAIL Licenses NormConf Something missing or broken? PRs welcome!

In this Fully-Connected episode, Daniel and Chris discuss concerns of privacy in the face of ever-improving AI / ML technologies. Evaluating AI’s impact on privacy from various angles, they note that ethical AI practitioners and data scientists have an enormous burden, given that much of the general population may not understand the implications of the data privacy decisions of everyday life. This intentionally thought-provoking conversation advocates consideration and action from each listener when it comes to evaluating how their own activities either protect or violate the privacy of those whom they impact. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, WebsiteShow Notes: Google’s Responsible AI Practices - Privacy What is Data De-identification and Why is It Important? Hugging Face - Stable Diffusion Demo floret: lightweight, robust word vectors Using oneAPI with Intel® FPGAs Workshop Something missing or broken? PRs welcome!

Differentiating between what is real versus what is fake on the internet can be challenging. Historically, AI deepfakes have only added to the confusion and chaos, but when labeled and intended for good, deepfakes can be extremely helpful. But with all of the misinformation surrounding deepfakes, it can be hard to see the benefits they bring. Lior Hakim, CTO at Hour One, joins Chris and Daniel to shed some light on the practical uses of deepfakes. He addresses the AI technology behind deepfakes, how to make positive use of deep fakes such as breaking down communications barriers, and shares how Hour One specializes in the development of virtual humans for use in professional video communications. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Lior Hakim – LinkedIn, WebsiteChris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, WebsiteShow Notes: Hour One Something missing or broken? PRs welcome!

Daniel and Chris cover the AI news of the day in this wide-ranging discussion. They start with Truss from Baseten while addressing how to categorize AI infrastructure and tools. Then they move on to transformers (again!), and somehow arrive at an AI pilot model from CMU that can navigate crowded airspace (much to Chris’s delight). Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, WebsiteShow Notes: Truss on GitHub CMU: AI Pilot Can Navigate Crowded Airspace Embarrassingly Parallel Training of Expert Language Models Toucan: Learn español without even trying 3D Vision with Transformers: A Survey Sphere: Natural Language Processing with Transformers SkyJack on GitHub NVIDIA AI Demos Something missing or broken? PRs welcome!

AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment, and is accelerating research in nearly every field of biology. Daniel and Chris delve into protein folding, and explore the implications of this revolutionary and hugely impactful application of AI. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, WebsiteShow Notes: AlphaFold AlphaFold reveals the structure of the protein universe AlphaFold: Timeline of a breakthrough AlphaFold Protein Structure Database GitHub: deepmind / alphafold Oxford Protein Informatics Group: AlphaFold 2 is here: what’s behind the structure prediction miracle Nature: How AlphaFold can realize AI’s full potential in structural biology Nature: ‘The entire protein universe’: AI predicts shape of nearly every known protein Nature: Highly accurate protein structure prediction with AlphaFold Something missing or broken? PRs welcome!

Every year Mozilla releases an Internet Health Report that combines research and stories exploring what it means for the internet to be healthy. This year’s report is focused on AI. In this episode, Solana and Bridget from Mozilla join us to discuss the power dynamics of AI and the current state of AI worldwide. They highlight concerning trends in the application of this transformational technology along with positive signs of change. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Solana Larsen – Twitter, LinkedInBridget Todd – TwitterDaniel Whitenack – Twitter, GitHub, WebsiteShow Notes: The Internet Health Report 2022 Facts of the AI Power Imbalance Something missing or broken? PRs welcome!

In this Fully-Connected episode, Chris and Daniel explore the geopolitics, economics, and power-brokering of artificial intelligence. What does control of AI mean for nations, corporations, and universities? What does control or access to AI mean for conflict and autonomy? The world is changing rapidly, and the rate of change is accelerating. Daniel and Chris look behind the curtain in the halls of power. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, WebsiteShow Notes:Source articles for our conversation The Geopolitics Of Artificial Intelligence Geopolitical implications of AI and digital surveillance adoption Artificial intelligence is already upending geopolitics Huge “foundation models” are turbo-charging AI progress Learning Resource National Artificial Intelligence Initiative Something missing or broken? PRs welcome!