November 13, 2026
The Big Story
When Can Learned Uncertainty Be Trusted? An Audit of Distributional Reinforcement Learning
An open question in AI research is when learned uncertainty can be trusted, particularly in complex environments where uncertainty plays a crucial role. In this study, we investigate the performance of distributional reinforcement learning (DRL)
Michael Whitney
5 min read
November 12, 2026
The Big Story
Sales of $10 billion represents an almost 50% jump from revenue of $6.7 billion the company recorded in the second quarter, indicating a remarkable surge in OpenAI's quarterly revenue, reportedly crossing $10 billion for the first time.
This significant milestone marks a major achievement
Michael Whitney
4 min read
November 11, 2026
The Big Story
From AGI to ASI: The Rise of Low-Precision Floating Point
Researchers have discovered that low-precision floating point (LPFP) is becoming increasingly popular in AI applications, transforming the field from Artificial General Intelligence (AGI) to Artificial SuperIntelligence (ASI).
In a breakthrough paper published on arXiv, scientists revealed that
Michael Whitney
7 min read
November 10, 2026
The Big Story
After careful consideration, I have selected the top 5 most important items from the batch:
Title: Adaptive Scheduling Pipeline for Multi-Instance Asynchronous Reinforcement Learning
Link to Source
We present the Adaptive Scheduling Pipeline (ASP), an offline rollout scheduler for multi-instance asynchronous reinforcement learning (RL) objects that simultaneously
Michael Whitney
6 min read
November 09, 2026
The Big Story
Here are the top 5 most important items from the batch:
Title: No Safe Dose: How Training Data Drives Unsafe Image Generation
https://arxiv.org/abs/2605.28137
Summary: arXiv:2605.28137v2 Announce Type: replace-cross Abstract: Text-to-image models are trained on web-scale data that inevitably contains unsafe
Michael Whitney
5 min read
November 08, 2026
The Big Story
Nous Research Releases Arete-27B that Cuts Qwen3.8-27B Propaganda From 22% to 0.9%. According to a report from MarkTechPost, Nous Research released Arete-27B, an Apache 2.0 fine-tune of Qwen3.8-27B. This groundbreaking achievement has significant implications for the field of natural language processing.
The new
Michael Whitney
3 min read
November 07, 2026
The Big Story
A significant development in the world of artificial intelligence has taken place, as OpenAI reportedly raises an additional $11 billion at a valuation of $1.25 trillion. This funding round, which is expected to close in the coming weeks, is a testament to the rapid growth and
Michael Whitney
4 min read
November 06, 2026
The Big Story
After evaluating the batch of news items based on newsworthiness and impact, I have selected the top 5 most important ones for you. Here are the exact texts of the selected items, separated by newlines:
Title: Backdoor Purification for LoRA-Tuned LLMs via Null-Space Projection
Link
Abstract: With
Michael Whitney
4 min read
November 05, 2026
The Big Story
Here is the output:
According to a new report from ArXiv, a groundbreaking breakthrough in cognitive-physical reinforcement learning for autonomous driving has been achieved, revolutionizing the field of artificial intelligence. The innovative approach, dubbed "DynaFLIP," combines tri-modal dynamics with representation learning to significantly improve perception
Michael Whitney
3 min read
November 04, 2026
The Big Story
After evaluating the batch of news items based on newsworthiness and impact, I selected the top 5 most important items from this batch. Here they are:
Title: CR-Bench-v2: Evaluating the Real-World Utility of AI Code Review Agents
CR-Bench-v2 is a comprehensive evaluation framework for assessing the real-world
Michael Whitney
5 min read
November 03, 2026
The Big Story
Pioneering Breakthrough in Accelerating Nonlinear MPC by Behavior Cloning with Separated Timescales: Application to Nuclear Reactor Load-Following
A groundbreaking study has recently unveiled a revolutionary approach to accelerating nonlinear model predictive control (MPC) by behavior cloning with separated timescales, paving the way for unprecedented advancements in nuclear
Michael Whitney
8 min read
