周报

Inside our 353,000-person vibe coding course

Kaggle’s AI Agents Intensive with Google brought learners together in a no-cost course to build and deploy the next frontier of AI.

Circles powers telco personalization with OpenAI technology

Circles uses the OpenAI API and Codex to power AI-native telco experiences, increasing ARPU by 22%, reducing churn by 9%, and improving development efficiency.

Latest open artifacts (#23): Laguna S2.1, Inkling, & Kimi K3 show the utility of open models on the Pareto frontier

Capacity to train strong models is proliferating.

How we built a realtime system for responsive voice AI in six months

GPT-Live enables continuous voice interaction with AI, using a turnless speech model and low-latency architecture for faster, more natural conversations.

Kimi K3: the complete developer guide

Kimi K3 is the first open 3T-class model. See how it benchmarks, what it costs, and how to call it on the Together AI API, with copy-paste code examples.

Qwen 3.8 Max

**Alibaba** launched **Qwen3.8-Max**, a **2.4T-parameter** open-weight model emphasizing autonomous coding, long-horizon execution, and multimodal feedback, with aggressive pricing. Early benchmarks rank it highly on hum

Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference

As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1). Because...

Ten advances in mathematics and theoretical computer science

OpenAI shares new results on long-standing open problems in mathematics and theoretical computer science, including advances in geometry, cryptography, and complexity.

Introducing our Artifacts Hub and Adoption Dashboard

Scaling our curation and measurement of the open ecosystem.

Import AI 467: Self-sustaining AI viruses; pacing AI progress; confusion about AI and creativity

When do we build the moon arcology?

Introducing Gemini Robotics 2

Carolina Parada, Stuart Bowers, Kanishka Rao, and Jie Tan from Google DeepMind join host Logan Kilpatrick inside the Gemini Robotics Lab to introduce Gemini Robotics 2, Google DeepMind's new suite of models bringing whol

This is Gemini Robotics 2 🤖

Mental World Modeling

World models enable a predictive substrate for planning and action, yet existing formulations merely answer a physical question: what/where it is, and how will it evolve. Human behavior, however, is driven by hidden ment

From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement

Reinforcement Learning with Verifiable Rewards (RLVR) has driven recent progress in reasoning-oriented large language models (LLMs) by enabling large-scale optimization. However, its applicability remains largely limited

N_0-VTLA: Scaling Vision-Tactile-Language-Action Model with Latent Tactile Tokens

We present N_0-VTLA, a vision-tactile-language-action (VTLA) foundation model capable of (1) fine-grained contact-rich manipulation with tactile perception and tactile-feedback control, and (2) offline policy improvement

Meshy T2: Fast Native Mesh Generation with Flow Matching

Polygonal meshes are the standard surface representation of modern 3D pipelines, and generating high-quality meshes with artist-style topology is essential for film, gaming, and interactive 3D applications. Mainstream ap

Fewer Clarifications, Better Code: Benchmarking Cross-Session Personalized Ambiguity Adaptation in Coding Assistants

AI-assisted coding increasingly translates informal user intent into executable software, yet coding requests often contain ambiguities that recur in user-specific ways across tasks and sessions. Existing disambiguation

Weak-to-Strong On-Policy Distillation

On-policy distillation (OPD), which aligns a student with the teacher's token-level distribution on the student's own rollouts, is an effective paradigm for transferring capabilities across LLMs. Prevailing approaches as

N_0-TWAM: Scaling Tactile-Native World-Action Model for Contact-Rich Manipulation

We present N_0-TWAM, a tactile-native world-action model for contact-rich manipulation that predicts both future vision and future contact. To our knowledge, it is the first tactile world-action model trained at large sc

Scaling Properties of Text Conditioning in Visual Generation

We study empirical scaling properties for text conditioning in visual generation. Such properties have rarely been measured because diffusion loss does not scale with the number of tokens in natural-language prompts. Sur

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications

System prompts are instructions configured by developers to govern the behaviors of foundation models in AI applications. They are used throughout commercial AI products, but are rarely disclosed to the public or regulat

SAF-OPD: Stable Advantage Fusion for On-Policy Distillation

Reinforcement learning with verifiable rewards (RLVR) broadcasts a single response-level reward to every token, while on-policy distillation (OPD) scores each token against a stronger teacher for a dense advantage but ca

LWiAI Podcast #253 - Opus 5, Gemini 3.6, Kimi K3, Hugging Face Hack

Anthropic releases Opus 5 promising Fable 5-like capabilities, Google Releases Three New Gemini A.I. Models, and more!

用850个单词统治世界：一个语言学家的疯狂实验

1930年，一位英国语言学家出版了一本书，声称用850个英语单词就能完成日常生活的全部表达。 这听起来不可思议。 英语词汇量超过17万，莎士比亚一个人就用了两万多个不同单词。 850个，够干什么？ 但这个想法在二战结束后引发了全球范围的讨论，影响了BBC的广播方式，塑造了今天全球英语教学的基础词汇体系，甚至间接启发了乔