AI Research

True Positive Weekly #181

The most important artificial intelligence and machine learning news and articles

😸 WATCH: Can AI Help Cure Genetic Disease?

Everyone Is Selling AI at You — Here’s How to Keep Your Judgement

Three moves to decode the hype The post Everyone Is Selling AI at You — Here’s How to Keep Your Judgement appeared first on Towards Data Science.

Google Wants a Bigger Role in How Work Gets Done

Google wants Gemini to take on more responsibility at work. The practical test is how much attention teams save after reviewing and correcting its output.

AI Agents Beat PyTorch: Writing Faster CUDA Kernels

AI agents can now write CUDA kernels that outperform PyTorch—but proving those speedups are real is the harder problem. I put them to the test on an NVIDIA DGX Spark and found that benchmark design matters just as much…

Your Model's MSE Is Lying to You III: Time Series Diffusion

A diffusion head for probabilistic time series forecasting: why a forecast can get the mean and the variance right and still describe a future that never happens, and how to fix it. The post Your Model's MSE Is Lying to…

Why Meta, DeepMind and the U.S. Government Are Backing Virtual Cells

Meta, Google DeepMind and U.S. agencies are backing Biohub’s effort to build the experimental data AI needs to predict cellular behavior. The promise is faster discovery; the test is whether those predictions hold up in…

Haiku 5.5 Could Be Claude’s Most Practical Launch Yet

Claude’s smaller model has a timely opening: agents need affordable intelligence they can call repeatedly. Haiku 5.5 delivers lower rates, but reasoning effort, growing context, and completion quality determine the real…

AI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack.

An exploration of the new data science roles emerging after the Large Language Model explosion. The post AI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack. appeared first on Towards Data Science.

Google Wants SynthID to Become the Web’s AI Watermark Checker

Google’s SynthID Detector can now check AI watermarks from OpenAI, NVIDIA, Kakao, and Google itself. The expansion could make AI content verification easier, but an undetected watermark does not prove authenticity. As…

😺 ChatGPT's GPT-6 now builds calculators

OpenAI’s GPT-6 Turns ChatGPT Answers Into Interactive Tools

GPT-6’s Intelligent UI lets ChatGPT assemble interactive tools as it responds. The rollout could change how people use AI and whether they open a separate app to complete a task.

A Closed-Loop Non-Asymptotic Convergence Analysis of PPO with Learned Critics and Clipping

arXiv:2610.10273v1 Announce Type: new Abstract: Despite its widespread use, Proximal Policy Optimization with clipping (PPO-Clip) remains difficult to tune, and the interactions among critic learning, clipping, and…

Reproducible LLM Inference Benchmarking: A Sequential Isolation Protocol for Regression Testing

arXiv:2610.09778v1 Announce Type: cross Abstract: Reproducible benchmarking of Large Language Model (LLM) inference is challenging because repeated measurements can vary with execution and system state. We present the…

Beyond Policy Support: Interaction Constrained Offline Reinforcement Learning for Autonomous Driving

arXiv:2610.09763v1 Announce Type: new Abstract: Offline reinforcement learning enables reward-driven policy improvement from fixed datasets without requiring online exploration, making it particularly attractive in…

Task-Sufficient Contraction: Source Selection for Machine Information Interfaces

arXiv:2610.08884v1 Announce Type: cross Abstract: A declared task can sometimes certify a reduced source before a downstream encoder, codebook, rate, distortion target, or optimizer is chosen. This paper studies when…

OpenTSLM TeeMoE: A Unified Time-Series Language Model for Forecasting, Contextual Prediction, and Reasoning

arXiv:2609.40265v2 Announce Type: replace Abstract: Real-world time-series applications increasingly require models that can handle time series forecasting, context-conditioned prediction, and language-based temporal…

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

arXiv:2602.08234v2 Announce Type: replace Abstract: Large Language Model (LLM) agents have shown stunning results in complex tasks, yet they often operate in isolation, failing to learn from past experiences. Existing…

RSIGym: A Flexible Environment for Recursive Self-Improvement

arXiv:2610.10310v1 Announce Type: new Abstract: Recursive self-improvement requires carrying accepted changes into later improvement cycles, while studying agent-proposed changes also requires substantial research…

EC-EarthFlow: Probabilistic emulation of daily transient global climate model simulations with flow matching

arXiv:2610.09715v1 Announce Type: new Abstract: We introduce EC-EarthFlow, a generative flow matching model that emulates simulations from the physical climate model EC-Earth3. The model is trained on transient…