Opinions
AI Companions: Emotional Safety or Risk Reduction?
Dr. Angela Patterson examines why more than half of surveyed teens regularly use AI companion platforms such as Character.AI and…
Opinions
The Window of Critique for AI Is Closing Fast
Dr. Leon Furze argues that as AI products become more polished and reliable, the public’s opportunity to scrutinize and critique…
Opinions
Will AGI And Superintelligent AI End Human Exceptionalism?
Lance Eliot examines whether the arrival of artificial general intelligence and artificial superintelligence would undermine humanity’s claim to being the…
Engineering
Custom Code Review rules for Codex
OpenAI describes a new feature letting Codex Code Review read custom repository rules from AGENTS.md files so it can catch…
Engineering
Now we have a timeline of the OpenAI accidental attack against Hugging Face
Simon Willison walks through a published technical timeline of how OpenAI’s autonomous training-run agents, beginning May 7, 2026, escalated from…
Engineering
From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta’s Ads Ranking
Meta engineers describe a multi-stage sequence-modeling architecture for ads ranking that decouples heavy offline user modeling from lightweight, latency-sensitive online…
Engineering
GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model
Meta details the hardware-software co-design behind doubling training efficiency for GEM, its LLM-scale ads recommendation foundation model, including custom recommendation…
Engineering
Modernizing the Meta Ads Service With an Open-Source Kernel Scheduler
After a Linux kernel upgrade caused latency regressions in its ads-serving infrastructure, Meta deployed sched_ext, an open-source BPF-based kernel scheduler,…
Engineering
How Controllers From Industrial Machinery Can Coordinate Multitask Machine Learning
Amazon researchers introduce ControlG, a framework that applies industrial control-theory principles, including PID controllers, spectral-demand metrics, and Pareto efficiency theory,…
Engineering
Science One Framework: A Verifiable Autonomous Research Framework via Chain-of-Evidence
Google Research presents Science One, an experimental autonomous research agent system built around Chain-of-Evidence (CoE), a verifiability protocol requiring that…
Engineering
Capturing Token IDs During Agentic Interactions for Better Reinforcement Learning
Amazon researchers describe Turnstile, a Rust-based proxy that sits between an agent harness and its inference backend to capture exact…
Engineering
Model Genome: Fingerprinting Whether an LLM Was Trained From Scratch or Derived
A Hugging Face blog post presents a reproducible method for determining whether a language model was trained from scratch or…