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.
By Abdullahi Dattijo
The article titled "Everyone Is Selling AI at You — Here’s How to Keep Your Judgement" discusses three strategies for navigating the current AI hype. It offers practical moves to help readers maintain critical thinking and discern genuine value from marketing claims. The piece was originally published on Towards Data Science.
By Janna Lipenkova
Mustafa Suleyman argues that artificial models should not be treated as if they possess feelings, preferences, rights, or any entitlement to human welfare. He emphasizes that consciousness underpins our ethical, legal, and political frameworks, and extending such rights to AI would lack evidence and complicate containment and alignment efforts.
The article describes a claim‑checker tool built for writing with Codex that successfully identified the correct passage but failed to detect a mismatch, illustrating the limitations of rule‑based checks. The audit highlights where these automated checks break down and provides insights into improving claim verification processes.
By Benjamin Nweke
The article "How to Fine-Tune an LLM: An End-to-End Guide" offers a practical, hands‑on walkthrough for fine‑tuning large language models in real‑world scenarios. It covers the entire process from data preparation to deployment, providing readers with actionable steps to adapt LLMs to specific tasks. The guide is aimed at practitioners looking to implement fine‑tuning in a structured, end‑to‑end manner.
By Sam Black
The article titled "A Google Team Measured Half of My Argument, and Left the Other Half Open" is part of a series on spec‑driven test automation (Part 3). It discusses how a Google team evaluated only half of the author’s argument, leaving the remaining portion unresolved. The post was originally published on the Towards Data Science platform.
By Gal Arav