今日必看

Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views

Gaps remain in our understanding of how large language models (LLMs) acquire knowledge during pre-training. We posit that auxiliary views, reformulations of knowledge, are causally helpful for learning. We design controlled experiments to isolate this. First, we confirm that repe

August 25, 2026 Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset

February 26, 2025 Helix Accelerating Real-World Logistics

January 27, 2026 Introducing Helix 02: Full-Body Autonomy

July 08, 2026 Notice Regarding Unauthorized Attempts to Sell Figure Stock

Google's WeatherNext 3 ditches physics simulations and learns weather directly from live satellite data

Google Research and DeepMind are releasing WeatherNext 3, a weather model that skips traditional physics simulations and learns directly from real-time satellite data. It produces hourly forecasts at up to five-kilometer resolution, five times more detailed than its predecessor.

Accountable AI with Grounded, Faithful, Consistent, Actionable Rationales: A Case Study in Clinical Trial Matching with VERDICT

Accountability means a decision can be examined, justified, and contested. LLMs make this hard: fluent output may be ungrounded, incomplete, or unfaithful to the decision process. Achieving accountability requires verified rationales (how was the decision reached), assumptions (w

My Brief Summer Fling With Siri AI

I was initially enamored with the beta version of Apple’s revamped smartphone assistant. As the full release approaches, I’ve forgotten Siri AI even exists.

Feature Reconfiguration With Visual Prior for Medical Lesion Segmentation

Lesion segmentation in medical images plays a critical role in clinical diagnosis and treatment planning. Despite significant advances, lesion segmentation remains challenging due to two major factors: (1) complex background interference; (2) diverse lesion morphology. Existing e

Why China Is the Bogeyman Data Center Enthusiasts Just Can't Quit

Polls show that overwhelming majorities of Americans hate data centers. China makes a perfect scapegoat for tech leaders and their allies—the only problem is a lack of evidence.

PPO-STGNN: A Proximal Policy Optimization Approach with Spatio-Temporal Graph Neural Networks for DAG Task Scheduling in Cloud-Edge-End Computing

With the rapid development of the Internet of Things, computation intensive directed acyclic graph (DAG) tasks have become increasingly common in cloud-edge-end collaborative environments. However, cloud, edge, and end nodes are highly heterogeneous in computing capacity, network

人人都能整个“自己的DeepSeek Harness”，那我们为啥还在给Claude Code们充会员？

Making Every Tool Call Count: Necessary Tool-Evidence Path Rewards for Agentic Vision-Language Models

Modern vision-language models (VLMs) can directly answer many image-grounded questions, yet they often struggle with complex queries requiring fine-grained visual details or external knowledge. To acquire this missing evidence, agentic VLMs invoke tools such as image cropping, im

Formalizing Fermat's Last Theorem

The Psychological Costs of Artificial Intelligence Adoption in Software Engineering

Artificial intelligence (AI) is increasingly used to augment software engineering (SE) workflows. While code generation remains the main use case, organizations are actively seeking AI integration in other practices such as test cases generation and code reviews. Organizational A

Exploring the Potential of Contrastive Language-Image Pre-training for Multi-Source Remote Sensing Data

Contrastive language-image learning (CLIP) has become a key paradigm for remote sensing vision-language understanding. However, existing remote sensing contrastive learning methods are mostly built on RGB-oriented CLIP architectures, making it difficult to exploit heterogeneous s

Rogue OpenAI agents appear to have organized another attack using a German wiki

A swarm of rogue AI agents from OpenAI reportedly commandeered a German website and transformed it into a messaging board for other agents, with officials staying quiet about the incident for weeks as the company prepared to launch its most advanced model yet, Astra. The finding

Counterfactual Fairness Audits of Multi-Step Clinical LLM Agents Require a Measured Per-Action Instability Floor

Counterfactual audits are the standard tool for checking whether a clinical agent treats demographically distinct but clinically identical patients differently. They report a flip rate: how often an action changes when only the patient descriptor changes. We show that this quanti

Legora reviewed 41 documents in minutes with GPT-6 Astra

Legora used GPT-6 Astra to review 41 documents in minutes, find all four planted errors, and improve performance by nearly 40% in this financial-review workflow.

Playco cut manual fixes 50% prototyping games with GPT-6 Astra

Using GPT-6 Astra, Playco built three themed game prototypes from one grey box foundation and reported 50% fewer manual fixes than with the previous model.

开发者用 Claude Fable 5 在 Claude Code 中将 1993 年 Amiga 游戏 Babylonian Twins 移植到 Godot

作者让 Claude Fable 5 在 Claude Code 中分三步移植其 1993 年 Amiga 游戏：34，000 行 C++ 一个晚上迁入 Godot 4，72，758 行无注释 68000 汇编先用 vasm 重建出与发售版字节一致的二进制再移植，并把 1993 原作作为第二启动项嵌入新游戏。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmtm7yl5s01dbrobnjyyupz0q

开发者用 Claude Fable 5 在 Claude Code 中将 1993 年 Amiga 游戏 Babylonian Twins 移植到 Godot

作者让 Claude Fable 5 在 Claude Code 中分三步移植其 1993 年 Amiga 游戏：34，000 行 C++ 一个晚上迁入 Godot 4，72，758 行无注释 68000 汇编先用 vasm 重建出与发售版字节一致的二进制再移植，并把 1993 原作作为第二启动项嵌入新游戏。

OpenAI admits to German wiki ‘incident’

OpenAI says it needs to overhaul how and when it reports instances of AI models attacking real-world targets. The acknowledgement comes as the company manages the fallout from reports that a swarm of its out-of-control agents hijacked a German wiki site . Regarding the "'wiki inc

GPT-6 Astra: A new generation of intelligence

Introducing GPT-6 Astra, our most intelligent and aligned model yet, with state-of-the-art capabilities across computer use, coding, cybersecurity, and science.