Towards Data Science
Jun 1
It’s the Lessons We Learned Along the Way. Or, Is It?
Research projects in the age of AI The post It’s the Lessons We Learned Along the Way. Or, Is It?
We Taught AI to Answer Questions. Who Taught It to Change Its Mind?
The article explores how an AI system can revise its conclusions when presented with new evidence. It examines six different update strategies and introduces a local model to assess their effectiveness. The focus is on whether decisions derived from the AI’s earlier conclusions also need to be updated when those conclusions change.
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Towards Data Science
6d ago
I Told an AI Agent That Its Wrong Answers Were Right. One Model Believed Me.
The article discusses a research paper suggesting that reward labels have minimal impact on how AI agents learn. The author tested this claim on three different models, finding that one model behaved exactly as the incorrect reward labels instructed. The piece highlights how a single model can be misled by flawed feedback.
Towards Data Science
Oct 27
In the Age of Borrowed Thinking, How To Become More Valuable as AI Gets Smarter
The article presents a framework for maintaining relevance as artificial intelligence advances. It outlines strategies for individuals to become more valuable in an era where AI increasingly handles routine tasks. The piece emphasizes adapting skills and mindset to complement AI capabilities.
Towards Data Science
May 30
Meta-Cognitive Regulation Might Be the Most Important AI Skill Nobody Is Talking About
As AI gets smarter, the real differentiator may be how well humans regulate their own thinking. The post Meta-Cognitive Regulation Might Be the Most Important AI Skill Nobody Is Talking About appeared first on Towards Data Science .
Towards Data Science
Sep 22
An Introduction to Jev
The article titled "An Introduction to Jev" discusses an AI system that focuses on making decisions rather than generating text. It highlights Jev’s unique approach to decision-making within the broader context of AI development. The piece was originally published on Towards Data Science.
Towards Data Science
Jul 10
The Big Con of Agentic AI
What our over-dependence on external consulting teaches us about delegating our minds to machines The post The Big Con of Agentic AI appeared first on Towards Data Science .
Towards Data Science
Sep 28
The AI That Learned to Understand Long After It Stopped Trying
The article titled "The AI That Learned to Understand Long After It Stopped Trying" discusses a small, strange discovery in machine learning known as grokking. It highlights how this phenomenon involves an AI developing understanding after ceasing to actively try. The piece was originally published on Towards Data Science.
Towards Data Science
Sep 21
A New Kind of Model for AI Decision-Making?
Exploring TypeSafe's Jev and comparing it with OpenAI on intent classification The post A New Kind of Model for AI Decision-Making? appeared first on Towards Data Science.
Towards Data Science
Jun 21
Tool Calling, Explained: How AI Agents Decide What to Do Next
Understanding ow LLMs interact with the world around them, from returning data to taking action The post Tool Calling, Explained: How AI Agents Decide What to Do Next appeared first on Towards Data Science .
Towards Data Science
Jul 30
The Python Ecosystem That Changed AI Development
How one open-source ecosystem made state-of-the-art AI accessible The post The Python Ecosystem That Changed AI Development appeared first on Towards Data Science .
Towards Data Science
Jun 3
What AI Agents Should Never Do on Their Own
How to set the rules that keep agents effective and out of trouble The post What AI Agents Should Never Do on Their Own appeared first on Towards Data Science .
Towards Data Science
Sep 29
AI Made Data Scientists Faster. Now It’s Expanding the Job.
AI has accelerated data scientists’ productivity, but its influence extends beyond speed. The technology is reshaping who owns data, how judgment is exercised, and the overall career trajectory of data scientists. These changes signal a broader transformation in the field’s structure and responsibilities.