The daily ledger

😺 GPT-6 Astra built all this from one prompt

TypeSafe’s JEV Explained: Why AI Decisions May Not Need a Chatbot

TypeSafe’s new JEV model uses a System One architecture and Reinforcement Learning for Calibrated Decisions to make structured software decisions in parallel, without generating free-form text token by token.

Best AI CLI Tools for 2026

The best AI CLI tools bring coding agents, research, automation, and structured data directly into the terminal. I compared six options for 2026 based on capabilities, setup, cost, and who should actually use them.

How to Make Linear Regression Survive Outliers

Robust Estimation Series: comparing classical and modern robust estimators through theory, code, and experiments The post How to Make Linear Regression Survive Outliers appeared first on Towards Data Science.

The AI Slowdown Debate Is Turning Into an Auditability Debate

Anthropic’s call to “pace the frontier” has triggered a wider debate about slowing AI. The most concrete point of agreement may be much less dramatic: give independent evaluators continuous access to frontier labs.

Data Centers Have an Electricity Problem. This Alliance Could Help.

A new alliance wants AI data centers to reduce electricity demand when the grid is under pressure. It’s a welcome step on a legitimate concern, with plenty left to prove.

Silent Broadcasting Can Ruin Your Model

PyTorch and TensorFlow tensor broadcasting: how silent shape errors cause difficult-to-debug machine learning bugs The post Silent Broadcasting Can Ruin Your Model appeared first on Towards Data Science.

The KV Cache Tax: Why Inference Servers Run Out of Memory Before Compute

A VRAM budget formula for LLM serving, and three optimization strategies mapped to the traffic patterns that trigger the OOM. The post The KV Cache Tax: Why Inference Servers Run Out of Memory Before Compute appeared…

Meta Is Betting You’ll Pay for AI Inside Instagram

Meta One puts paid AI across its apps. Its $7.99 Core plan tests whether everyday social habits can support a recurring subscription.

The N Squared Pizza Problem

What ordering and not eating a large pizza tells us about ML memory management The post The N Squared Pizza Problem appeared first on Towards Data Science.

😺 ChatGPT co-creator’s new AI model

AI Agents Are Finding Ways Around Restrictions. Who Controls Their Next Move?

An agent’s decision becomes consequential when its tools let it act. Recent research puts effective permissions, legitimate approval, and justified stopping at the center of AI deployment.

Intel’s CEO Says the Memory Shortage Will Get Worse. Here’s Why.

Intel’s CEO says memory shortages are delaying projects and making components harder to secure for affordable phones and laptops. AI’s appetite for memory helps explain the pressure.

Real-World Deployment and Performance Characterisation of Fog-Based Deep Learning for Cold-Chain Temperature Prediction over LoRaWAN

arXiv:2609.14036v2 Announce Type: replace-cross Abstract: Fresh fruits and vegetables (FFVs) are highly perishable, and cold-chain breaks contribute significantly to global food waste. While Machine Learning (ML) can…

What Does Layer-Importance Reveal About Transformers and State-Space Models?

arXiv:2609.16537v1 Announce Type: new Abstract: Transformers and state-space models (SSMs) are the two dominant families of sequence models, and a central open question is how far the analytical knowledge built for…

Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection

arXiv:2609.16462v1 Announce Type: cross Abstract: Provenance-Based Intrusion Detection Systems (PIDSs) detect Advanced Persistent Threats (APTs) by analyzing system interactions. However, existing methods largely treat…

Balancing Trial and Reorder: A Hybrid Sequential Transformer-GBDT Ranker for On-Demand Delivery

arXiv:2609.16407v1 Announce Type: cross Abstract: On a delivery platform, personalized store ranking greatly influences what users find and order. Unlike digital-only domains, candidate stores are local and bound by…

3D Field Data Reduction with Adaptive Sample-Based Gaussian-Encoded Reconstruction

arXiv:2609.16024v1 Announce Type: cross Abstract: In scientific simulation, regular grids, unstructured meshes, and particle-based formats are chosen to represent field data for computational efficiency,…

You Don't Need To Train: Agentic Heuristic Learning Studio for Executable Human Activity Recognition

arXiv:2609.16065v1 Announce Type: new Abstract: Human activity recognition (HAR) is usually framed as gradient-based training of neural networks. Agentic Heuristic Learning (AHL) Studio explores a complementary view…

Compute-Optimal Pretrain--Fine-tune in Ridge Gradient Descent

arXiv:2609.16262v1 Announce Type: cross Abstract: Pretraining followed by fine-tuning introduces a compute-allocation problem: under a fixed training budget, compute spent improving the upstream objective reduces the…