# Nov 29, 2025

## Major AI conference flooded with peer reviews written by AI
- **21% of peer reviews** for the upcoming ICLR conference were found to be entirely generated by AI, raising significant concerns about the integrity of the review process.

## The risk of round numbers and sharp thresholds in clinical practice
- **Round-number thresholds in clinical practice can distort risk assessments**, leading to counterintuitive outcomes such as increased mortality risk for patients treated based on these arbitrary cutoffs, as demonstrated through simulations and real-world data analysis.

## Learning without fine-tuning: Open-source framework takes browser automation from 30% → 100% success through in-context learning
- The **open-source framework** enhances browser automation success from **30% to 100%** by utilizing **in-context learning**, allowing agents to adapt based on execution feedback without the need for fine-tuning.

## What AI may learn from the brain in adapting to continuously changing environments
- **Biological brains** exhibit rapid adaptability to new tasks, often achieving significant performance shifts within a few trials, a capability that current AI systems lack.

## A new framework for causal transformer models on non-language data: sequifier
- **Sequifier** is a newly released framework for training **causal, autoregressive transformer models** on non-language data, validated through extensive use in real-world applications, including modeling **sperm whale language** and **neural activity in mice**.

## Right approach for my Thesis Methodology? (Robust Bayesian VARs, DRO, Diffusion Models)
- The proposed thesis aims to create a **"robust Bayesian forecasting framework"** by integrating **BVARs**, **DRO**, and **diffusion models** to enhance economic forecasting under challenging conditions, such as distribution shifts and unusual shocks.