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Anthropic is having a moment in the private markets; SpaceX could spoil the party

Glen Anderson, president of Rainmaker Securities, says the secondary market for private shares has never been more active — with Anthropic the hottest trade around, OpenAI losing ground, and SpaceX's

Anthropic is having a moment in the private markets; SpaceX could spoil the party

Glen Anderson, president of Rainmaker Securities, says the secondary market for private shares has never been more active — with Anthropic the hottest trade around, OpenAI losing ground, and SpaceX's

Artemis 2 in good shape cruising towards the moon

A day after lighting its engine to head to the moon, the Artemis 2 Orion spacecraft is performing well with only minor issues. The post Artemis 2 in good shape cruising towards the moon appeared first

Tell HN: Anthropic no longer allowing Claude Code subscriptions to use OpenClaw

Received the following email from Anthropic:Hi,Starting April 4 at 12pm PT / 8pm BST, you’ll no longer be able to use your Claude subscription limits for third-party harnesses including OpenClaw. You

This new Ohio solar farm is powered by Ohio-made panels

A new utility-scale solar farm just came online in Ohio, and it’s generating power with panels manufactured in-state. more…

AES Maximo robot installs 100 megawatts of solar capacity

Maximo, a robotics startup incubated by energy company AES, has successfully deployed its solar panel installation robots at a site in California. The post AES Maximo robot installs 100 megawatts of s

ActionParty: Multi-Subject Action Binding in Generative Video Games

Alexander Pondaven, Ziyi Wu, Igor Gilitschenski +4

Recent advances in video diffusion have enabled the development of "world models" capable of simulating interactive environments. However, these models are largely restricted to single-agent settings, failing to control multiple agents simultaneously

Steerable Visual Representations

Jona Ruthardt, Manu Gaur, Deva Ramanan +2

Pretrained Vision Transformers (ViTs) such as DINOv2 and MAE provide generic image features that can be applied to a variety of downstream tasks such as retrieval, classification, and segmentation. However, such representations tend to focus on the m

Grounded Token Initialization for New Vocabulary in LMs for Generative Recommendation

Daiwei Chen, Zhoutong Fu, Chengming Jiang +12

Language models (LMs) are increasingly extended with new learnable vocabulary tokens for domain-specific tasks, such as Semantic-ID tokens in generative recommendation. The standard practice initializes these new tokens as the mean of existing vocabu

Batched Contextual Reinforcement: A Task-Scaling Law for Efficient Reasoning

Bangji Yang, Hongbo Ma, Jiajun Fan +1

Large Language Models employing Chain-of-Thought reasoning achieve strong performance but suffer from excessive token consumption that inflates inference costs. Existing efficiency methods such as explicit length penalties, difficulty estimators, or

No Single Best Model for Diversity: Learning a Router for Sample Diversity

Yuhan Liu, Fangyuan Xu, Vishakh Padmakumar +2

When posed with prompts that permit a large number of valid answers, comprehensively generating them is the first step towards satisfying a wide range of users. In this paper, we study methods to elicit a comprehensive set of valid responses. To eval

Beyond the Assistant Turn: User Turn Generation as a Probe of Interaction Awareness in Language Models

Sarath Shekkizhar, Romain Cosentino, Adam Earle

Standard LLM benchmarks evaluate the assistant turn: the model generates a response to an input, a verifier scores correctness, and the analysis ends. This paradigm leaves unmeasured whether the LLM encodes any awareness of what follows the assistant