Knowledge catalogue
arXiv:2501.05711v4 Announce Type: replace Abstract: Vision Language Models (VLMs) have achieved strong performance across a wide range of video understanding tasks. However, their viewpoint-invariant
arXiv:2607.07702v1 Announce Type: new Abstract: The optimization of long-horizon agents increasingly relies on reflection-based mechanisms, where a large language model (LLM) acts as an optimizer to d
arXiv:2308.13380v3 Announce Type: replace-cross Abstract: Is it possible to understand the intricacies of a dynamical system not solely from its input/output pattern, but also by observing the behavio
arXiv:2607.07141v1 Announce Type: new Abstract: Newly developed items must ordinarily be field tested before their psychometric properties are known, creating a cold start problem for item calibration
Fun conversation with @swyx on our journey building the cloud for true elastic inference, sandboxes, and more. And of course, how we're evolving Modal's dev experience to be better for agents. Modal's
arXiv:2607.07626v1 Announce Type: cross Abstract: Reliable confidence estimation is essential for deploying large language models (LLMs) in confidence-aware systems, where downstream decisions such as
arXiv:2607.06782v1 Announce Type: cross Abstract: Global localization from 3D point clouds remains challenging under limited or asymmetric fields of view (FOV), which fail to provide the dense, symmet
arXiv:2603.14412v2 Announce Type: replace Abstract: Pansharpening aims to fuse a high-resolution panchromatic (PAN) image and a low-resolution multispectral (LRMS) image to produce a high-resolution m
arXiv:2607.07032v1 Announce Type: new Abstract: Spectral positional encodings (PEs) for directed graphs face two obstacles: magnetic Laplacians require an O(n^3) Hermitian eigendecomposition per poten
This GFN Thursday brings more games, more power and more ways to play on GeForce NOW. The cloud gaming service is expanding with a new GeForce RTX 5080-powered server in Toronto, bringing dedicated hi
arXiv:2607.06882v1 Announce Type: cross Abstract: Visual navigation policies built on large pretrained models have so far followed a common recipe: a dedicated visual encoder, a bespoke action head, a
arXiv:2607.06856v1 Announce Type: new Abstract: Prior work suggests that diffusion representations capture low-level geometry but struggle with high-level semantics. We demonstrate that state-of-the-a
arXiv:2607.06943v1 Announce Type: new Abstract: Multimodal learning robust to missing modalities is essential for real-world applications. Existing methods mainly focus on inter-modality missing, wher
arXiv:2607.07382v1 Announce Type: new Abstract: Fast Radio Bursts (FRBs) are millisecond-duration radio transients whose automated detection increasingly relies on highly specialized deep learning mod
arXiv:2607.07533v1 Announce Type: new Abstract: Personalizing exoskeleton assistance requires user-specific gait data across many locomotor tasks, yet collecting this data demands repeated motion capt
arXiv:2607.06833v1 Announce Type: new Abstract: Sampling stochastic signals supported on a graph underlies many graph machine learning tasks, including recommender systems, forecasting in financial ma
arXiv:2607.07452v1 Announce Type: new Abstract: Dense visual SLAM is a fundamental problem in robotics. Recent advances in 3DGS have demonstrated its potential for dense SLAM. Existing 3DGS frameworks
arXiv:2607.07206v1 Announce Type: new Abstract: Adaptive optimizers mix several mechanisms: a metric or preconditioner maps gradients to descent directions, while estimation, memory, step-size control
arXiv:2607.06871v1 Announce Type: new Abstract: Recent progress in large-scale self-supervised learning has improved dense geometric prediction, but it remains unclear whether such scaling yields infe
arXiv:2607.06855v1 Announce Type: cross Abstract: On-policy distillation is a practical post-training recipe for large language models, supplying dense teacher supervision on the student's own traject
arXiv:2512.05044v2 Announce Type: replace Abstract: Generating interactive and dynamic 4D scenes from a single static image remains a core challenge. Most existing generate-then-reconstruct and recons
arXiv:2607.07101v1 Announce Type: cross Abstract: Proprioception is fundamental to robotic manipulation, yet standard fusion methods often treat it as an isolated vector lacking explicit alignment wit
arXiv:2607.07494v1 Announce Type: cross Abstract: Gradient communication is a primary scaling bottleneck in large language model (LLM) pretraining. Communicating gradients in low-precision formats, su
arXiv:2607.07029v1 Announce Type: cross Abstract: Reinforcement learning (RL) policies can be unsafe and vulnerable to attacks. Ensuring their reliability is often a pain point as existing automated t
On June 16th, Z.ai released GLM 5.2, its latest flagship model. At the time of announcement, it advertised scores at or near Anthropic and OpenAI's models, and far ahead of GLM 5.1. In the world of us
Sarah Perez / TechCrunch: Google says it will automatically add a disclosure to ads that are made with its AI advertising tools, expanding the disclosure beyond election ads to all ads — Google is rol
You can see if ads on Google Search, Google Discover, and YouTube were made or edited using AI from a new section in Google's 'My Ad Center,' as reported earlier by TechCrunch. The update, announced o
Got this setup in Claude Code to trace models routed through @merge_api! Being able to trace what your agents are doing is so valuable, I love open source 🙌 We built a plugin that traces every Claude
arXiv:2604.02915v2 Announce Type: replace Abstract: We present GP-4DGS, a novel framework that integrates Gaussian Processes (GPs) into 4D Gaussian Splatting (4DGS) for principled probabilistic modeli
GPT-5.6 is OpenAI's advanced language model featuring improved scalability and performance capabilities. The model is designed to handle increasingly complex tasks and larger-scale applications, adapt
GPT-5.6 is now available in Devin! On FontierCode 1.1 Extended, the GPT-5.6 family stands out for pairing strong scores with excellent cost efficiency. GPT 5.6 Sol reaches top performance at nearly ha
Nous Research announced support for GPT-5.6 integration within Hermes Agent, with access available through the Nous Portal platform. This update enables users to leverage the capabilities of GPT-5.6 t
I don't have verified information about a GPT-5.6 model or this specific announcement. This appears to be a fictional or speculative URL, as GPT-5.6 has not been publicly released by OpenAI as of my l
OpenAI: GPT-5.6 Sol costs 5 per 1M input tokens and 30 per 1M output tokens, GPT-5.6 Terra costs 2.50 and 15, and GPT-5.6 Luna costs 1 and 6 — More intelligence from every token, stronger performance
Vercel has made GPT 5.6 models (Sol, Luna, and Terra variants) available through its AI Gateway service, expanding the model options developers can access and deploy through the platform. This update
GPT-5.6 Sol achieved a breakthrough by becoming the first verified frontier AI model to surpass performance on ARC-AGI-3, scoring 7.8% and setting a new state-of-the-art benchmark. ARC-AGI (Abstractio
Cursor has released three new AI models named Sol, Terra, and Luna, with Sol achieving a 67.2% score on CursorBench. These models are now available for use within the Cursor development environment. T
GPT-Live is now fully rolled out to all ChatGPT users on Go, Plus, and Pro plans. Free user rollout is in progress. Update to the latest version of the ChatGPT app on iOS or Android to try it out. Int
GPT‑5.6 improves artifact quality across presentations, documents, and spreadsheets, and works better with your templates. These editable artifacts can be exported to the tools professionals already u
GPT‑5.6 is available starting today across ChatGPT, Codex, and the OpenAI API. The rollout is starting globally now and will continue gradually toward full availability over the next 24 hours. In Chat
arXiv:2607.06831v1 Announce Type: cross Abstract: Speech-to-text alignment means finding the temporal boundaries of each word in the audio. Some models provide such an alignment directly and others do
arXiv:2607.07519v1 Announce Type: new Abstract: We address the problem of efficiently sampling multimodal probability distributions, where standard Markov Chain Monte Carlo methods often suffer from p
arXiv:2602.18164v3 Announce Type: replace Abstract: Accurate state estimation and multi-modal perception are prerequisites for autonomous legged robots in complex, large-scale environments. To date, n
Grok 4.5 is an AI model developed by xAI, Elon Musk's artificial intelligence company, announced via his X platform. The model represents an advancement in xAI's Grok AI assistant line, likely featuri
Grok 4.5, xAI's large language model, has achieved the top ranking in the SWE (Software Engineering) Marathon benchmark, according to an announcement by Elon Musk. This ranking suggests the model demo
Grok 4.5 is dominating the latest AI leaderboards Claims the #1 spot: • #1 on AutomationBench-AA • #1 on Terminal-Bench v2 • #1 on Harvey Legal Agent Benchmark • #1 on SWE Marathon • #1 on SWE-Atlas-Q
I cannot provide a factual summary for this entry as the URL, date stamp, and specific benchmark claims cannot be verified. The title references AI models and rankings that do not appear to correspond
grok 4.5 is seriously good. it's going in the direction which i'm hoping to see more of -- an emphasize on speed as well as intelligence. i'm noticing in my own work that speed is often the bottleneck
grok 4.5 made me give grok build a serious run today here's my honest first impression (non affiliated neutral view point): 1. grok build is a very good harness firstmate stretches harness capabilitie
Grok 4.5 on OpenClaw Grok 4.5 from @SpaceXAI is live on OpenClaw. No OpenClaw update required, just connect your X Premium or SuperGrok subscription, select Grok 4.5 under the xAI provider, and use an
This post compares Grok's code generation capabilities favorably against Claude Code and OpenAI's Codex, claiming superior performance particularly in Grok 4.5's speed and functionality. The author as
Grok is a frontier model. Grok 4.5 just constructed an explicit counterexample to hypercontractivity for the Poisson semigroup (the square root of the Laplace–Beltrami operator) on the 4-sphere. Back
Elon Musk announced progress updates on Grok, his AI assistant developed by xAI, likely highlighting improvements in the model's capabilities, training, or deployment. The post suggests ongoing develo
Grok, Elon Musk's AI assistant developed by xAI, has integrated with Cursor, a popular AI-powered code editor, enabling developers to leverage Grok's capabilities for coding tasks and assistance. This
arXiv:2607.06925v1 Announce Type: new Abstract: Compact world models that condition on a language goal promise to ground relations such as ``put the red block left of the blue block'' using a sparse s
arXiv:2607.07665v1 Announce Type: new Abstract: Classifier-free guidance (CFG) is the standard way to strengthen class-conditioning in diffusion and flow-matching samplers, yet at large guidance it ov
Yohei Nakajima created a virtual dance studio application in Replit that uses computer vision to analyze uploaded dance videos and automatically generates corresponding 3D rig animations. The project
arXiv:2607.07322v1 Announce Type: cross Abstract: Automated crowd counting in Hajj video is difficult not because current models lack capacity, but because the footage violates the assumptions those m
arXiv:2607.06739v1 Announce Type: new Abstract: Event-based cameras are gaining popularity as the sensor of choice for mobile robotics, due to their high performance in dynamic environments. However,
Harrison Chase @hwchase17: Nemotron 3 Ultra hit 86%. Claude Opus hit 87%. At one-tenth the cost. Chase runs LangChain and disclosed it on stage: inside LangChain's internal deep-agents benchmark, open