Mike Loukides
Radar article
Whistle-Blowing Models
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Radar Trends to Watch: July 2025
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Normal Technology at Scale
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Radar Trends to Watch: June 2025
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Vibing at Home
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Radar Trends to Watch: May 2025
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“Death by 1,000 Pilots”
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Context Serialization
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Seniors and Juniors
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Radar Trends to Watch: April 2025
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AI and the Structure of Scientific Revolutions
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AI’s Future: Not Always Bigger
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Radar Trends to Watch: March 2025
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Preparing for AI
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Radar Trends to Watch: February 2025
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Biggest Doesn’t Win
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Technology Trends for 2025
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Radar Trends to Watch: January 2025
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Summarizing Books as Podcasts
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Generative Logic
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Radar Trends to Watch: December 2024
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Blown Away
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Radar Trends to Watch: November 2024
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Henry Ford Does AI
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The State of Security in 2024
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Radar Trends to Watch: October 2024
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Preparing for AI
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The AI Blues
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Radar Trends to Watch: September 2024
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Platform Engineering: The Next Step in Operations
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Think Better
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Radar Trends to Watch: August 2024
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Software Architecture in an AI World
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Programming, Fluency, and AI
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Radar Trends to Watch: July 2024
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Generative AI for Farming
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Answers: Generative AI as Learning Tool
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Radar Trends to Watch: June 2024
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Passwords and their Discontents
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Making Marketing More Effective with AI
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Radar Trends to Watch: May 2024
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Attacking Supply Chains at the Source
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Quality Assurance, Errors, and AI
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Radar Trends to Watch: April 2024
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Vacuum Tubes and Transistors
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Radar Trends to Watch: March 2024
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Corporate Responsibility in the Age of AI
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The OpenAI Endgame
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Radar Trends to Watch: February 2024
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Technology Trends for 2024
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Can Language Models Replace Compilers?
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Radar Trends to Watch: January 2024
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Copyright, AI, and Provenance
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Radar Trends to Watch: December 2023
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Strawberry Fields Forever
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Generative AI in the Enterprise
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Creativity Isn’t Just Remixing
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Radar Trends to Watch: November 2023
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Questions for 2024
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Model Collapse: An Experiment
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Prompting Isn’t The Most Important Skill
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Automated Mentoring with ChatGPT
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Radar Trends to Watch: October 2023
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The Real Problem with Software Development
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Radar Trends to Watch: September 2023
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The next generation of developer productivity
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The ChatGPT Surge
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Radar Trends to Watch: August 2023
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Fearing the Wrong Thing
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Radar Trends to Watch: July 2023
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ChatGPT, Now with Plugins
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Radar Trends to Watch: June 2023
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Pause AI?
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Radar Trends to Watch: May 2023
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Real World Programming with ChatGPT
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Not Forgotten
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Radar Trends to Watch: April 2023
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What Are ChatGPT and Its Friends?
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Getting the Right Answer from ChatGPT
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Radar Trends to Watch: March 2023
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Technology Trends for 2023
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Sydney and the Bard
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AI Hallucinations: A Provocation
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Radar Trends to Watch: February 2023
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Digesting 2022
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Radar Trends to Watch: January 2023
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What Does Copyright Say about Generative Models?
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Radar Trends to Watch: December 2022
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Technical Health Isn’t Optional
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Healthy Data
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Formal Informal Languages
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Radar Trends to Watch: November 2022
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The Collaborative Metaverse
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What Is Hyperautomation?
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Radar Trends to Watch: October 2022
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The Problem with Intelligence
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Radar Trends to Watch: September 2022
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On Technique
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Radar Trends to Watch: August 2022
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Artificial Creativity?
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Radar Trends to Watch: July 2022
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2022 Cloud Salary Survey
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“Sentience” is the Wrong Question
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Closer to AGI?
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Radar Trends to Watch: June 2022
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Quantum Computing without the Hype
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Radar trends to watch: May 2022
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The General Purpose Pendulum
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Radar trends to watch: April 2022
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AI Adoption in the Enterprise 2022
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Epstein Barr and the Cause of Cause
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Radar trends to watch: March 2022
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Intelligence and Comprehension
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The Human Web
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Radar trends to watch: February 2022
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Technology Trends for 2022
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What Is Causal Inference?
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What’s ahead for AI, VR, NFTs, and more?
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Radar trends to watch: January 2022
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The Cloud in 2021: Adoption Continues
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Radar trends to watch: December 2021
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Radar trends to watch: November 2021
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The Quality of Auto-Generated Code
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Radar trends to watch: October 2021
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2021 Data/AI Salary Survey
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Radar trends to watch: September 2021
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Defending against ransomware is all about the basics
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Radar trends to watch: August 2021
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Thinking About Glue
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Radar trends to watch: July 2021
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Code as Infrastructure
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Radar trends to watch: June 2021
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DeepCheapFakes
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Radar trends to watch: May 2021
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AI Adoption in the Enterprise 2021
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NFTs: Owning Digital Art
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Radar trends to watch: April 2021
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The Next Generation of AI
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Radar trends to watch: March 2021
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Product Management for AI
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5 infrastructure and operations trends to watch in 2021
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The Wrong Question
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Radar trends to watch: February 2021
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Where Programming, Ops, AI, and the Cloud are Headed in 2021
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Patterns
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Radar trends to watch: January 2021
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What is functional programming?
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Radar trends to watch: December 2020
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Multi-Paradigm Languages
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Radar trends to watch: November 2020
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AI Product Management After Deployment
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AI and Creativity
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Radar trends to watch: October 2020
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Pair Programming with AI
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Radar trends to watch: September 2020
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An Agent of Change
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The Least Liked Programming Languages
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Radar trends to watch: August 2020
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Bringing an AI Product to Market
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Power, Harms, and Data
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AI, Protests, and Justice
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Microservices Adoption in 2020
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Automated Coding and the Future of Programming
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Radar trends to watch: July 2020
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COVID-19 and Complex Systems
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Machine Learning and the Production Gap
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Radar trends to watch: June 2020
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The Business of Open Source
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Practical Skills for The AI Product Manager
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When models are everywhere
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Radar trends to watch: May 2020
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On COBOL
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How data privacy leader Apple found itself in a data ethics catastrophe
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Radar trends to watch: April 2020
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Governance and Discovery
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What you need to know about product management for AI
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Radar trends to watch: March 2020
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The death of Agile?
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Radar trends to watch: February 2020
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AI meets operations
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Radar trends to watch: January 2020
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Rethinking programming
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The road to Software 2.0
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Radar trends to watch: December 2019
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A 5G future
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A world of deepfakes
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Radar trends to watch: November 2019
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Quantum computing’s potential is still far off, but quantum supremacy shows we’re on the right track
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Defusing propaganda feedback loops on the social web
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Radar trends to watch: October 2019
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TinyML: The challenges and opportunities of low-power ML applications
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Radar trends to watch: September 2019
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How new tools in data and AI are being used in health care and medicine
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Machine learning requires a fundamentally different deployment approach
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Learning from adversaries
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The circle of fairness
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Maximizing paper clips
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How AI and machine learning are improving customer experience
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Toward the next generation of programming tools
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Looking Back on the O’Reilly Artificial Intelligence Conference
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Automating ethics
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Strata San Francisco, 2019: Opportunities and Risks
Content article
Specialized tools for machine learning development and model governance are becoming essential
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De-biasing language
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Changing contexts and intents
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Future of the firm
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What is O’Reilly Radar?
Content article
You created a machine learning application. Now make sure it’s secure.
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Reinforcement learning for the birds
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Rethinking informed consent
Content article
Deep automation in machine learning
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What we learn from AI’s biases
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The ethics of data flow
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A quick reminder on HTTPS everywhere
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Why we need to think differently about AI
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Case studies in data ethics
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Data’s day of reckoning
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The five Cs
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Of oaths and checklists
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What machine learning means for software development
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Doing good data science
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AI’s desire
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Don’t let your ethical judgement go to sleep
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Steering around blockchain hype
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7 questions to ask before you launch an enterprise blockchain project
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Blockchain applications
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What is a blockchain?
Content article
Building tools for the AI applications of tomorrow
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From USENET to Facebook: The second time as farce
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4 things business leaders should know as they explore AI and deep learning
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It’s time to rebuild the web
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Do no harm
Content article
Getting the most from the AI Business Summit
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Why I won’t whitelist your site
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The working relationship between AIs and humans isn’t master/slave
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Machine learning tools for fairness, at scale
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Tips for jumpstarting your journey to developing AI apps
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The problem with building a “fair” system
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Can AI create a new game? A challenge.
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Who, me? They warned you about me?
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Ethics at scale
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Planning for AI
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The evolution of DevOps
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What if we build the internet we always wanted?
Content article
Join the battle for the internet
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AI first—with UX
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What is Jupyter?
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What are machine learning engineers?
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The machine learning paradox
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Defensive computing
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On computational ethics
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Know-nothing authentication
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Are tablets the new laptops? Not yet.
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Artificial intelligence: Cooperation vs. aggression
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The ethics of face recognition
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The ethics of artificial intelligence
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Artificial creativity
Content article
Where programming meets the real world
Content article
How do you learn?
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To supervise or not to supervise in AI?
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What is Artificial Intelligence?
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Making revolutionary products without genetic engineering
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Where open source hasn’t won
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Learning from Tay
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The inherent clumpiness of randomness
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A poet does TensorFlow
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Learning from AlphaGo
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What passes for sharing these days
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The artist in the age of online media
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P-values not quite considered harmful
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Programming, oaths, and users
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A new infrastructure for biology
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Do one thing…
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Building an automated future
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Amazon, boredom, and culture
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Cultivate in Portland: Leadership, values, diversity
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Imagining a future biology
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To suit or not to suit?
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Flattening organizations
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BioBuilder: Rethinking the biological sciences as engineering disciplines
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Artificial intelligence?
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Cultivating change
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How Data Science Is Transforming Health Care
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What is DevOps (yet again)?
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Beyond lab folklore and mythology
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What is the Internet of Things?
Content article
Announcing BioCoder issue 6
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The computing of distrust
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The revolution in biology is here, now
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Uber is breaking bad
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Artificial intelligence: summoning the demon
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Overfocus on tech skills could exclude the best candidates for jobs
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Operations, machine learning, and premature babies
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The evolution of data products
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