Dr. Jon Krohn

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

↗How to Build a Moat for Your AI Company
↗How to Fund Your AI Startup with Venture Capital
↗751: How to Found and Fund Your Own AI Startup — with Dr. Rasmus Rothe
↗Top Data Leadership Tips
↗How Econometrics Promotes Clean Energy
↗The In-Demand Jobs in Clean Tech
↗750: How AI is Transforming Science — with Jon Krohn (@JonKrohnLearns)
↗Data Science for Clean Energy
↗Machine Vision in Smart Cities
↗749: Data Science for Clean Energy — with Emily Pastewka
↗LLM Transformers 101 (Part 5 of 5): Linear Transformation & Softmax
↗LLM Transformers 101 (Part 4 of 5): Feedforward Neural Network
↗LLM Transformers 101 (Part 3 of 5): Attention Mechanism
↗748: The Five Levels of AGI — with Jon Krohn (@JonKrohnLearns)
↗LLM Transformers 101 (Part 2 of 5): Positional Encoding
↗LLM Transformers 101 (Part 1 of 5): Input Embedding
↗747: Technical Intro to Transformers and LLMs — with Kirill Eremenko
↗2024 Data Science Trend #5: Workforce Upheaval
↗2024 Data Science Trend #4: Tool Consolidation
↗2024 Data Science Trend #3: Slow-Thinking Models
↗746: A Continuous Calendar for 2024 — with Jon Krohn (@JonKrohnLearns)
↗2024 Data Science Trend #2: LLMs as Operating Systems
↗2024 Data Science Trend #1: AI Hardware Accelerators
↗745: 2024 Data Science Trend Predictions — with Sadie St. Lawrence
↗The Future of Generative AI
↗The Fast, Short History of LLMs (Large Language Models)
↗LLMs: How to Add Proprietary Knowledge to General Knowledge
↗744: To a Peaceful 2024 — with Jon Krohn (@JonKrohnLearns)
↗A Great Conversational AI for your Business? Here's How to Do It
↗How Quickchat AI Works
↗743: How to Integrate Generative AI Into Your Business — with Piotr Grudzień
↗The Future of Data Viz
↗How Data Viz Can Drive Social Change
↗Smart Brevity: The Trick for Great Data Viz
↗742: Happy Holidays from All of Us — with Jon Krohn @JonKrohnLearns
↗How to Enter "Flow State" Doing Data Visualization
↗How to Transform Data into Engaging Visuals
↗741: How to Visualize Data Effectively — with Prof. Alberto Cairo
↗When is Shallow ML Better than Deep Learning?
↗The Risks and Benefits of AI Protein Design
↗What are Kernel Methods? (Machine Learning, Support-Vector Machines)
↗740: Q*: OpenAI's Rumored AGI Breakthrough — with @JonKrohnLearns
↗AI Design of Biocatalysts and Antibodies: Real-Life Examples
↗Designing Proteins with AI
↗739: AI is Eating Biology and Chemistry — with Dr. Ingmar Schuster
↗The Future of scikit-learn
↗How to Contribute to scikit-learn (even if you don't code!)
↗Why NVIDIA Seems to Stay Top Choice for GPUs?
↗738: Engineering Biomaterials with Generative AI — with Dr. Pierre Salvy
↗Development Principles of scikit-learn
↗The Genesis of scikit-learn
↗737: scikit-learn's Past, Present and Future — with scikit-learn co-founder Dr. Gaël Varoquaux
↗The 3 Key Skills AI Product Managers Need
↗The 4 Keys to AI Startup Investing
↗AI’s Big Social-Impact Opportunities
↗736: How to Officially Certify your AI Model — with Jan Zawadzki
↗Where AI Will Have Big Impact in the Coming Years
↗AlphaFold and AI’s Impact in Medicine
↗735: AI Product Management — with Google DeepMind's Head of Product, Mehdi Ghissassi
↗What Are Adversarial Examples?
↗How to Stay Up to Date on ML Research
↗Open-Source LLMs: Exciting Upcoming Breakthroughs
↗734: Humanoid Robot Soccer — with the Dutch RoboCup Team
↗Colinear Technology: Combining Semantic and Keyword Search
↗Is Open-Source AI More Dangerous than Closed-Source?
↗733: OpenAssistant: The Open-Source ChatGPT Alternative — with Dr. @YannicKilcher
↗How AI Supports a Universal Basic Income
↗Can AI Lead to a Utopia in Our Lifetime?
↗How to Create Your Own IEEE Standard
↗732: Data Science for Astronomy — with Dr. Daniela Huppenkothen
↗How "Moving Fast" Could Break the World
↗How AI Ethics and AI Safety Are Mutually Reinforcing
↗731: AI Agents Will Develop Their Own Distinct Culture — with Nell Watson
↗How BCIs Could Hack Human Brains (Brain-Computer Interfaces)
↗Is There a Biological Analog to Backpropagation?
↗A Fully-Automated Economy Would be Bad (and What We Can Do About It)
↗730: How GitHub Operationalizes AI for Teamwide Collaboration and Productivity — with Kyle Daigle
↗AI Won't Be an Existential Risk: Here's Why
↗Can "AGI" Actually Be Defined? (Artificial General Intelligence)
↗729: Universal Principles of Intelligence (Across Humans and Machines) — with Prof. Blake Richards
↗What It Takes to Achieve Systemic Change with AI
↗Amazon, IBM or Microsoft: Which Reacted Worst to Biased-Algo Findings?
↗The Incoding Movement: The Path to More Equitable Technology
↗728: Use Contrastive Search to get Human-Quality LLM Outputs — with Jon Krohn (@JonKrohnLearns)
↗Biased Algorithms: Real-World Examples of Issues
↗What is the Algorithmic Justice League?
↗727: Unmasking A.I. Injustice — with Dr. Joy Buolamwini
↗What is Simulated Intelligence?
↗Want to be a Computational Neuroscientist? Develop these Skills.
↗Language Efficiently Compresses Data (for both Machines and People)
↗726: Seven Factors for Successful Data Leadership — with Ben Jones
↗The 8 Best Things for Your Brain
↗Do Human Brains do Reinforcement Learning?
↗725: Neuroscience + Machine Learning — with Google DeepMind's Dr. Kim Stachenfeld
↗Can Mathematical Optimization Be Used for NLP (Natural Language Processing)?
↗Three Ways to Combine ML with Mathematical Optimization
↗NFL Scheduling: A Real-Life Example of Mathematical Optimization
↗724: Decoding Speech from Raw Brain Activity — with Dr. David Moses
↗Mathematical Optimization vs Gradient Descent
↗The Three Mathematical Optimization Techniques: LP, MILP and IP