Beyond RAGs: Building Actually Truthful AI Harnesses

Using Classical ML to Empower AI Agents

On the value of building on existing foundations The post Using Classical ML to Empower AI Agents appeared first on Towards Data Science .

Introducing ShipAI

Towards Data Science has released a video showcase titled "Introducing ShipAI," which highlights real‑world AI work. The post announces this new visual resource and its focus on practical AI applications. It is positioned as a first look into the platform’s capabilities.

Ethics and Society Newsletter #6: Building Better AI: The Importance of Data Quality

4 Ways to Use AI on a PhD Thesis

The article outlines four practical applications of AI for PhD students: locating relevant citations, consolidating code snippets, fact‑checking research claims, and preparing for the thesis defence. It highlights how AI tools can streamline the research process and improve the quality of academic work.

Where Does an AI’s Personality Actually Come From?

They aren’t designed, you can’t help perceiving one anyway, and that makes them an engineering problem almost no one is solving. The post Where Does an AI’s Personality Actually Come From?

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.

Advancing content provenance for a safer, more transparent AI ecosystem

OpenAI advances AI content provenance with Content Credentials, SynthID, and a verification tool to help people identify and trust AI-generated media.

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 .

Comments on U.S. National AI Research Resource Interim Report

Is This Slop? Detecting AI-Generated Content Without a Model

Research-backed cues to detect LLM-generated text along with the mathematical intuition as to 'why' The post Is This Slop? Detecting AI-Generated Content Without a Model appeared first on Towards Data Science .

Quoting Terence Tao

Simon Willison discusses how the current trend of mining open mathematical problems in a non-renewable way could make these problems scarce. He notes that rumors of a problem can trigger large AI-driven efforts to solve it before original researchers can fully develop their work. This shift may discourage sharing promising research, potentially reversing centuries of open science and harming the field’s future.

How Indeed uses AI to help evolve the job search

Indeed’s CRO Maggie Hulce shares how AI is transforming job search, recruiting, and talent acquisition for employers and job seekers.