Dr. Jon Krohn

Unofficial, machine-generated summaries, as of 2026-11-09.

↗AI Agents Add More Value than New LLMs
↗Multi-Agent Systems Are Taking LLMs To The Next Level
↗810: The Five Levels of Self-Driving Cars — with Jon Krohn (@JonKrohnLearns)
↗Talking To Data Using Natural Language
↗"Agentic AI" Explained (And Why It's Suddenly so Popular!)
↗809: Agentic AI — with Shingai Manjengwa
↗Humans + LLMs = Better Decisions
↗The 2 Key Stepping Stones to Reaching the Singularity
↗Are AI Experts Credible Predictors of Post-Singularity Society?
↗808: In Case You Missed It in July 2024 — with Jon Krohn (@JonKrohnLearns)
↗Can Machines Be Conscious?
↗The Six Singularities (There's Not Just One)
↗807: Superintelligence and the Six Singularities — with Dr. Daniel Hulme
↗Why Generative AI Can't Replace Our Closest Relationships
↗The Trick to Making Conflict Constructive
↗806: Llama 3.1 405B: The First Open-Source Frontier LLM — with Jon Krohn (@JonKrohnLearns)
↗The Neuroscience of Real-Life "Vulcan Mind Meld"
↗How Neural Entrainment Can Solve Your Communication Problems
↗805: How to Be a Supercommunicator — with Charles Duhigg
↗The Most In-Demand Data Scientist Skills in 2024
↗Want a Promotion? Be Influential at Work. Here's How.
↗Skills in Tech Jobs Change Fast. Here's How to Handle It.
↗804: AI x Solar Power = Abundant Energy — with Jon Krohn (@JonKrohnLearns)
↗How to Find Your Professional Niche and Grow Your Career
↗Feeling Stuck in Your Career? Here Are Solutions to the Most Common Challenges
↗803: How to Thrive in Your (Data Science) Career — with Daliana Liu
↗Move Over LLMs: Small Language Models are the Future
↗How to Train an LLM From Scratch for Only
↗Mixture-of-Experts vs. Mixture-of-Agents
↗802: In Case You Missed It in June 2024 — with Jon Krohn (@JonKrohnLearns)
↗MergeKit: The Open-Source Model-Merging Platform for LLMs
↗Model Merge: A New Frontier for LLM Efficiency
↗801: Merged LLMs Are Smaller And More Capable — with Arcee AI's Mark McQuade and Charles Goddard
↗Humanoid Robots Are Coming to Your Home
↗Will AGI Herald Utopia or Dystopia?
↗Superhuman AI May Be a Few Years Away
↗800: A Transformative Century of Technological Progress — with Annie P.
↗"AI as a Product" Is a Mistake (for Almost All Entrepreneurs)
↗Text-to-Video-Game Generative AI is Here
↗799: AGI Could Be Near: Dystopian and Utopian Implications — with Dr. Andrey Kurenkov
↗DEI's Positive Impact on the ML Community
↗Character-Aware Text Encoding vs Character-Blind Text Encoding
↗Will AI Soon Be Your Best Friend?
↗798: Claude 3.5 Sonnet: Frontier Capabilities & Slick New "Artifacts" UI — with @JonKrohnLearns
↗Why LLM Benchmarks Are Flawed
↗The ML Collective: Research Support for Anyone Anywhere
↗797: Deep Learning Classics and Trends — with Dr. Rosanne Liu
↗Systems Engineering PhD: Is It Worth It?
↗Fractional Executives: What They Are and How to Succeed As One
↗Finally, a Single Robust AI Regulatory Framework
↗The 3 Major American AI Regulations (AI Bill of Rights, NIST, and MITRE ATLAS)
↗796: Earth's Coming Population Collapse and How AI Can Help — with Simon Kuestenmacher
↗AI Bill of Rights - Law or Guidelines?
↗"Dark Data": 175 Massive Zettabytes of AI-Training Fodder
↗795: Fast-Evolving Data and AI Regulatory Frameworks — with Dr. Gina Guillaume-Joseph
↗Gaussian Processes: Elegant and Powerful Data Modeling
↗Hardcore Bayesian Stats: Post-Stratification + Hierarchical Modeling
↗PyTensor's Under-the-Hood "Secrets"
↗794: Exciting (and Frightening!) Trends in Open-Source AI — with Jon Krohn (@JonKrohnLearns)
↗How Computing Power Brought Back Bayesian Statistics
↗A Cool, Practical Explanation of Bayesian Stats
↗793: Bayesian Methods and Applications — with Alexandre Andorra
↗The AI Field Moves Fast. Here's How to Stay Sane.
↗The Shortcomings of RLHF for LLM Fine-Tuning
↗Multiple-Stage Optimization Leads to Sub-Optimal LLMs
↗792: In Case You Missed It in May 2024 — with Jon Krohn (@JonKrohnLearns)
↗LLM-Infused Robots are the Future
↗How RLHF Aligns LLMs with Human Desires
↗791: Reinforcement Learning from Human Feedback (RLHF) — with Dr. Nathan Lambert
↗Deep Nets Learn Better if Final Layer is Frozen
↗People Are Confusing "Neurons" and "Parameters" in LLMs
↗Visualizing Neural Networks: Its Value and Limitations
↗790: Open-Source Libraries for Data Science at the New York R Conference — with @JonKrohnLearns
↗How to Get Customers to Buy Your AI/ML Model
↗Machine Learning for Renewable Energy
↗789: ML for Wind-Powered Energy Generation — with Jason Yosinski
↗A Few How-To Gems for Building a Thriving Community from Scratch
↗MLOps Moves Fast. How Can Keep Up?
↗The AI Quality Conference: Is AI Actually Doing What It's Supposed To Be Doing?
↗788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks — with @JonKrohnLearns
↗MLOps vs ML Engineering Explained
↗Is LLMOps Really a Thing?
↗787: MLOps: The Job and The Key Tools — with Demetrios Brinkmann
↗How to Start as a Content Creator
↗Quantum Machine Learning: What Will It Unlock?
↗What Will Be The Big Trend After Generative AI?
↗786: The Six Keys to Data Scientists' Success — with Kirill Eremenko
↗Want a Better LLM? You Need Better Embeddings. Here's Why.
↗How Will Generative AI Transform Education?
↗785: Math, Quantum ML and Language Embeddings — with Dr. Luis Serrano (@SerranoAcademy)
↗AI Can Prevent Climate Change Crises
↗70% of Solar Projects Fail. Now AI Can Fix This.
↗784: Aligning Large Language Models — with Sinan Ozdemir
↗The Evolution and Impact of AI on Journalism
↗Recommendation Systems Under the Hood
↗783: Generative AI for Solar Power Installation — with Navdeep Martin
↗You Probably Shouldn't Patent Your IP (Intellectual Property)
↗Data Engineering and Data Science Should be Distinct Teams
↗Highlights of Sol Rashidi's "AI Survival Guide"
↗782: In Case You Missed It in April 2024 — with Jon Krohn (@JonKrohnLearns)