The daily ledger

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.

Robust PAC Learning of Concurrent Stochastic Games

arXiv:2609.04189v2 Announce Type: replace Abstract: We introduce the first Probably Approximately Correct (PAC) learning framework for general-sum concurrent stochastic games (CSGs) with transition uncertainty, while…

Coding-Agent Benchmarks Should Match Their Users' Task Flows

arXiv:2610.09633v1 Announce Type: new Abstract: The evaluation of coding agents generally strives to be as realistic as possible. In our study, we collect 4,782 agent sessions of real software engineers in JetBrains…

Distilling Graph Geometry: Knowledge Gap from GNNs to MLPs

arXiv:2610.10520v1 Announce Type: new Abstract: GNN-to-MLP distillation aims to retain the predictive accuracy of a message-passing teacher while deploying a graph-free MLP at inference. Existing methods mainly transfer…

Kinks vs. Smoothness: Identifiability of Real Analytic nICA for Laplace-like Sources

arXiv:2609.21926v2 Announce Type: replace Abstract: Many machine learning systems try to explain complex data - like images or financial time series - in terms of hidden, independent factors that generated them.…

What a Reporting Convention Hides: A Matched-Budget Audit of Quantum Natural Gradient with an Exactly Computed Metric

arXiv:2610.09425v1 Announce Type: new Abstract: Several published comparisons of variational quantum optimizers time only runs that reach a target loss, or read the verdict at a single target. Either convention could…

Ask the Expert: LLM-Guided Reinforcement Learning for Autonomous Cyber Defense

arXiv:2610.09337v1 Announce Type: cross Abstract: Policy-based reinforcement learning (RL) approaches have produced promising results for autonomous cyber defense; however, they are sample-inefficient in settings where…

SAE++: Cascaded Sparse Autoencoders Learn Multi-Level Visual Concepts in Multimodal LLMs

arXiv:2606.16193v3 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) have demonstrated strong performance on vision-language tasks, yet their internal visual representations remain…

Sample-Optimal Estimation of the Fr\'echet Inception Distance

arXiv:2610.07114v2 Announce Type: replace Abstract: The Fr\'echet Inception Distance (FID) is widely used to evaluate generative models, but its empirical plug-in estimator suffers from finite-sample bias [BSAG18,…