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Cursor is expanding usage limits across all Teams users and introducing a new Premium team seat option, inspired by the success of their Ultra plan. This update aims to provide higher resource allocat

We're trending on @huggingface! 🥳 Tbh, we undersold this model. It's a lot more capable at agentic tasks than I expected. I keep discovering new capabilities every day, it's crazy for 1B active parame

We've been adopting kernels in transformers to handle the device-specific optims, quants, or easyinstalls for popular kernels. We're opening this gradually with a focus on impactful kernels; if you're

We've reset 5-hour and weekly rate limits for all users on Pro and Max plans. We fixed an issue that caused some Claude Code sessions to spawn excessive parallel subagents, burning through usage faste

arXiv:2605.31561v1 Announce Type: new Abstract: Test-time reasoning has become a significant field of study since the introduction of chain-of-thought reasoning in large language models (LLMs). Howeve

arXiv:2605.31226v1 Announce Type: cross Abstract: Machine learning models on microcontroller-class devices (TinyML) face a fundamental challenge: post-deployment distribution change undermines static

arXiv:2602.10286v2 Announce Type: replace Abstract: Pairwise preference learning is central to machine learning, with recent applications in aligning language models with human preferences. A typical

arXiv:2605.31564v1 Announce Type: cross Abstract: We present the first systematic study of masked diffusion language models (MDLMs) for graph-to-text generation. We analyze MDLM generation trajectorie

What if the skeptics are right and superintelligence is impossible? Great! Then a proactive ban costs us nothing, prevents massive compute waste, and hurts no one. But if they are wrong? We face an un

arXiv:2603.09787v2 Announce Type: replace Abstract: Explainable artificial intelligence (XAI) aims to provide human-interpretable insights into the behavior of deep neural networks (DNNs), typically b

arXiv:2605.30911v1 Announce Type: cross Abstract: Hallucination remains one of the key challenges undermining the reliability of Large Vision-Language Models (LVLMs). But what makes an LVLM hallucinat

arXiv:2605.30719v1 Announce Type: cross Abstract: We study when large language models (LLMs) can serve as effective black-box policy optimizers for reinforcement learning (RL) tasks, i.e., when can we

arXiv:2605.31504v1 Announce Type: new Abstract: Multimodal models in oncology can produce accurate predictions, but accurate prediction does not reveal whether the model has learned biology that is sh

arXiv:2605.30481v1 Announce Type: new Abstract: Large language models (LLMs) are widely used as cross-lingual knowledge interfaces. However, culturally grounded questions often reflect globally domina

arXiv:2605.30381v1 Announce Type: cross Abstract: Deceptive alignment, in which models maintain accurate internal representations while deliberately producing false outputs, remains a central challeng

arXiv:2601.20774v2 Announce Type: replace Abstract: Multitask learning and related frameworks have achieved tremendous success in modern applications. In multitask learning problem, we are given a set

Emad Mostaque discusses predictions or analysis regarding which Initial Public Offering (IPO) is likely to outperform others in the market. The post likely evaluates multiple IPOs based on various met

which is NOT new; see this quote from 5 years ago. the fact that all this is still true says a lot. This was right five years ago, and still is: “Large scale pretrained models are certainly likely to

arXiv:2506.00175v5 Announce Type: replace-cross Abstract: Modern AI systems are typically developed through multiple stages-pretraining, fine-tuning rounds, and subsequent adaptation or alignment, whe

Microsoft and NVIDIA are partnering to develop laptop chips based on Grace and Blackwell architectures to compete with Apple Silicon's six-year market dominance. This collaboration aims to challenge A

arXiv:2605.31261v1 Announce Type: cross Abstract: The family of linear recurrent neural networks has shown strong performance as recurrent memory units in partially observable reinforcement learning.

Video agent models represent the next frontier in AI by extending language model capabilities to process, understand, and act on video content in real-time, enabling autonomous agents to perceive and

arXiv:2605.31281v1 Announce Type: new Abstract: As wind turbine fleets age, data-driven reliability engineering is essential to optimise their operation and maintenance for service life extension and

This post from Dylan Patel discusses how PC graphics capabilities were limited before Jensen (likely referring to Jensen Huang of NVIDIA) introduced revolutionary GPU technology, and suggests that the

This entry likely covers Nous Research's documentation for Windows native integration or functionality within their Hermes agent system. The resource appears to be a user guide section explaining how

New York Times: Wirescreen analysis of 3,800 Chinese military procurement records finds 500+ instances since 2019 where the PLA sought Nvidia chips, including the A100 and A800 — An analysis of six ye

Simon Lock / TBIJ: Wise confirms it is under investigation by Belgian prosecutors over suspicions its accounts were used for money laundering involving €500M in transactions — Help change the world by

Nvidia Corp. says it’s uprooting supercomputers from the vast, sprawling data center complexes they normally live inside and squeezing them into compact, desktop-sized workstations that can sit on or

Emad Mostaque suggests that NVIDIA's Nemotron and Cosmos models will commoditize complementary AI technologies and services in the market. The statement implies that these NVIDIA offerings will make e

arXiv:2604.01985v2 Announce Type: replace-cross Abstract: General-purpose world models promise scalable policy evaluation, optimization, and planning, yet achieving the required level of robustness re

arXiv:2603.10422v2 Announce Type: replace Abstract: World Models (WMs) offer a promising mechanism for post-training Vision-Language-Action (VLA) policies by providing dynamics priors that improve gen

arXiv:2605.30671v1 Announce Type: new Abstract: Recovering ego-camera orientation from manipulation video is a prerequisite for disentangling hand motion from camera motion, a key step in imitation le

This post links to a Latent Space article providing a comprehensive writeup and resources about video agents, likely covering AI systems that can understand, analyze, and generate video content. The a

arXiv:2605.30788v1 Announce Type: cross Abstract: We introduce a set of synthetic algorithmic tasks to detect cross-lingual gaps in the abilities of large language models. Our benchmark is commensurat

arXiv:2605.30362v1 Announce Type: cross Abstract: Spiking neural networks (SNNs) hold promise for demonstrating superior learning and representation capabilities in deep models. Given the tremendous s

arXiv:2605.31429v1 Announce Type: new Abstract: Contrastive decoding (CD) seeks to mitigate hallucinations in Large Vision-Language Models (LVLMs) by contrasting the output distributions of a standard

You can work 5 days a week and succeed as a startup. Mercury has done that from day 0 and we are valued @ $5.2bn 7 years after launch. I have been an entrepreneur for 20 years and raised 3 kids while

David Holz emphasizes the dual importance of confidence and openness in effective action and growth. The post suggests that success requires both the conviction to act decisively and the intellectual

arXiv:2605.30472v1 Announce Type: new Abstract: As large neural models have become better at language tasks, researchers are increasingly building multi- and omnimodal models that handle more modaliti

arXiv:2605.30833v1 Announce Type: cross Abstract: On-policy distillation transfers reasoning capabilities by training a student model on its own generated trajectories using token-level feedback from

arXiv:2605.30612v1 Announce Type: cross Abstract: Continuous control policies trained with off-policy reinforcement learning frequently exhibit high-frequency action jitter, rendering direct deploymen

arXiv:2605.30896v1 Announce Type: new Abstract: Bidding in repeated auctions is a central challenge for reinforcement learning (RL), combining continuous control with the strategic complexities of dig

arXiv:2605.30573v1 Announce Type: new Abstract: Sampling from high-dimensional, non-log-concave distributions with unnormalized densities remains a fundamental challenge in machine learning, particula

Reuters: A look at AMD CEO Lisa Su's and Nvidia CEO Jensen Huang's contrasting China playbooks, with Su keeping a lower profile; China accounts for ~20% of AMD's revenue — When AMD CEO Lisa Su arrived

Brent Crane / Bloomberg: A profile of Expedia CEO Ariane Gorin, who became CEO in 2024 and has overseen back-to-back years of revenue growth, with record gross bookings of $119B in 2025 — Atop the glo

Zack Abrams / The Block: A US court ordered Circle to blacklist Zama's cUSDC contract, freezing ~12.6M in funds, likely catching many in the “crossfire” of a civil suit against a DAO — Quick Take — A