A daily puzzle. Figure out the hidden function in seven rows.

This week’s Paper Club is all about alternative compute.Modern AI has been shaped by a tight coupling between transformers, backpropagation, and GPUs. But as...

The next frontier in worm research is to be able to visualise (map) the locations of worms, in-situ, and if possible, at the paddock scale.

We know so mu...

Prices for memory sold for 2027 "are much higher than 2026 prices."

America.gov launches with a privacy pledge as its Login.gov authentication layer raises questions over a persistent browser identifier and analytics tracking.

We've routed decisions on LLM confidence since 2023, and calibration is what we most hope OpenAI's new Decisions API gets right. The model underneath, GPT-6 Luna, isn't there yet: on 3,600 reasoning problems its 99% meant 68%, and by five inference steps it was at a coin flip.

The world's coral reefs are in crisis, but a crafty solution could help.

European payment groups serving 130 million people said they were joining forces to create a cross-border payments network as Europe seeks to curb its dependence on Visa and Mastercard.

Introducing Company Knowledge Bench

Use every connected Codex (ChatGPT) connector from any pi model - wileai/pi-codex-connectors

Apple's upcoming smart home camera is reportedly taking a very different approach to products from Ring and Google Nest, with the device designed to understand what is happening around the home without recording video for

Answers to common questions about the Solo shutdown, including how to export your website, alternative hosting providers, and what to do with a domain you bought through Solo.

speedrun.com replaced its terms of use on 1 October 2026 and dropped the Creative Commons licence. What changed, why it matters for runners and community tools, and what you can do.

We’re releasing AstaBrief, an 8B open-weights model for generating cited scientific reports, available in Asta’s Fast mode or to download and run on your own infrastructure.

Group Relative Policy Optimization (GRPO) has become a promising approach for training large language model agents. However, its uniform assignment of trajectory-level advantages to all policy tokens fails to distinguish consequential decisions from less relevant ones, obscuring which intermediate decisions contributed to success. We introduce ProVer, a framework that targets potentially pivotal decisions for fine-grained credit assignment in agentic reinforcement learning. Given a rollout group, an agentic judge contrasts successful and failed trajectories to propose a segment potentially responsible for their divergent outcomes. Rather than directly trusting the judge's assessment, ProVer verifies the proposed segment by estimating its advantage from the difference in terminal success rates between current-policy continuations sampled before and after the segment. Positive estimates are then incorporated into the GRPO advantages of policy tokens within the proposed segment. By using model judgment only to select where to verify, ProVer grounds local credit in observed outcomes without exhaustively evaluating every intermediate state. Across ALFWorld, WebShop, and SearchQA, ProVer achieves the strongest average performance at both model scales, with relative improvements over GRPO of 9.91% and 7.12% for Qwen3.5-2B and Qwen3.5-4B, respectively. Further analyses demonstrate that informed segment selection improves policy training with modest additional generation overhead, even without a frontier-scale judge model, highlighting the effectiveness and efficiency of selectively targeting pivotal decisions for fine-grained credit assignment in agentic reinforcement learning.

Happy College Radio Day! In honor of the annual celebration of student radio (this year on October 2), we invite you to explore the college radio collections in the Internet Archive’s Digital Library of Amateur Radio and Communications (DLARC). Some of the latest additions include materials that shed light on college radio’s earliest days. College

High-performance, token-based structured data engine for .NET. A core component of REX, the technology behind CAPCOM's next-generation game engine. - CAPCOM-TD-OSS/REDox