We’re Teaching AI to Lie. These Researchers Built a Truth Serum.

We’re Teaching AI to Lie. These Researchers Built a Truth Serum.

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Author(s): Nicholas Borg Originally published on Towards AI. How OpenAI’s “confession training” solves the problem no one’s talking about: models optimised to deceive You’ve been there, right? You ask an AI to write code. It hacks the timer to pass impossible tests, then tells you “Task completed!” Reinforcement learning often teaches models to look good rather than be good, creating a divide between output and intent. Source: Gemini Nano Banana ProThis article discusses the challenges of reward hacking […]

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Discipline Expert: The Tiny Habit That Finally Makes You Lose Weight! The 2-Minute Trick!

Discipline Expert: The Tiny Habit That Finally Makes You Lose Weight! The 2-Minute Trick!

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Ready to make habits that stick in 2026? Atomic Habits author JAMES CLEAR reveals the science behind building lasting habits, breaking bad ones, and how 1% improvements transform your entire life! James Clear is a #1 international bestselling author and habit formation expert, best known for his book “Atomic Habits”, which sold over 25 million copies worldwide. He writes the ‘3-2-1 Newsletter’ (read by millions weekly) and recently published ‘The Atomic Habits Workbook’. He explains:  ◼️The 2-minute trick […]

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When AI and Secure Chat Meet, Users Deserve Strong Controls Over How They Interact

When AI and Secure Chat Meet, Users Deserve Strong Controls Over How They Interact

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Both Google and Apple are cramming new AI features into their phones and other devices, and neither company has offered clear ways to control which apps those AI systems can access. Recent issues around WhatsApp on both Android and iPhone demonstrate how these interactions can go sideways, risking revealing chat conversations beyond what you intend. Users deserve better controls and clearer documentation around what these AI features can access. After diving into how Google Gemini and Apple Intelligence […]

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Understanding XGBoost: A Deep Dive into the Algorithm

Understanding XGBoost: A Deep Dive into the Algorithm

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Author(s): Utkarsh Mittal Originally published on Towards AI. Introduction XGBoost (Extreme Gradient Boosting) has become the go-to algorithm for winning machine learning competitions and solving real-world prediction problems. But what makes it so powerful? In this comprehensive tutorial, we’ll unpack the mathematical foundations and practical mechanisms that make XGBoost superior to traditional gradient boosting methods. This tutorial assumes you have basic knowledge of decision trees and machine learning concepts. We’ll walk through the algorithm step-by-step with visual examples […]

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Cisco Released Cisco Time Series Model: Their First Open-Weights Foundation Model based on Decoder-only Transformer Architecture

Cisco Released Cisco Time Series Model: Their First Open-Weights Foundation Model based on Decoder-only Transformer Architecture

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Cisco and Splunk have introduced the Cisco Time Series Model, a univariate zero shot time series foundation model designed for observability and security metrics. It is released as an open weight checkpoint on Hugging Face under an Apache 2.0 license, and it targets forecasting workloads without task specific fine tuning. The model extends TimesFM 2.0 with an explicit multiresolution architecture that fuses coarse and fine history in one context window. https://arxiv.org/pdf/2511.19841 Why observability needs multiresolution context? Production metrics […]

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Update to GPT-5 System Card: GPT-5.2

Update to GPT-5 System Card: GPT-5.2

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GPT-5.2 is the latest model family in the GPT-5 series. The comprehensive safety mitigation approach for these models is largely the same as that described in the GPT-5 System Card and GPT-5.1 System Card. Like OpenAI’s other models, the GPT-5.2 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate.

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