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Chrome's 4GB AI model isn't new, but you're not wrong for being confused

Google has offered Gemini Nano for Chrome since 2024 as a lightweight, on-device model , but users reasonably expect the visible AI Mode to use the on-device model with queries staying local, when in

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I promise this will be the best 20 min you spend today! Robotics: Endgame, the sequel to my last year's Sequoia AI Ascent talk, 'Physical Tu…

DGX agent

I promise this will be the best 20 min you spend today! Robotics: Endgame, the sequel to my last year's Sequoia AI Ascent talk, 'Physical Turing Test'. I laid out the roadmap for solving Physical AGI

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8 May 2026

Love to see it! FBX import land in ComfyUI. 3D animation control straight into your AI video pipeline.👀

Love to see it! FBX import land in ComfyUI. 3D animation control straight into your AI video pipeline.👀 ComfyUI-Mesh2Motion 1.2.0 Custom FBX import is now built into ComfyUI-Mesh2Motion. Load any FBX

LTX 2.3 ID-LoRA with First-Last Frame

ID-LoRA is an identity-driven audio-video personalization system that uses in-context LoRA (Low-Rank Adaptation) with LTX-2.3 to generate personalized videos . This approach is especially suitable for

Ollama for mobile phones

Ollama on mobile phones enables developers and enthusiasts to build privacy-first apps that process data locally and create offline AI tools for tasks like summarization, translation, and chatbots, re

local-air-ollama

Pi Studio Activity Bookmarklet For Ollama Pi

Pi Studio is an extension for Pi that opens a local two-pane browser workspace for working with prompts, responses, Markdown & LaTeX documents, code files, and other common file types. It includes a l

local-air-ollama

Seedance 2.0 https://links.comfy.org/4ttU7vL

Seedance 2.0 is an update or feature related to ComfyUI, a node-based interface for Stable Diffusion and other AI image generation models. The update likely introduces improvements or new functionalit

Seedance 2.0 is great for changing environments, outfits, and the overall look of existing footage while preserving the original movement fr…

Seedance 2.0 is great for changing environments, outfits, and the overall look of existing footage while preserving the original movement from the clip. These examples were made in ComfyUI using promp

Try it now on Comfy Cloud https://cloud.comfy.org/?template=api_openai_chat

ComfyUI announced the availability of a new template on Comfy Cloud that integrates OpenAI's chat API, allowing users to try it immediately through their cloud platform. The template likely provides a

v0.30.0-rc7

v0.30.0-rc7 is a release candidate version of Ollama, a platform for running large language models. This pre-release build was recently pushed to Docker repositories and represents testing iterations

local-aiollama-releases

3D Ultrasound-Derived Pseudo-CT Synthesis Using a Transformer-Augmented Residual Network for Real-Time Operator Guidance

arXiv:2605.04856v1 Announce Type: new Abstract: Computed tomography (CT) is indispensable for clinical diagnosis and image-guided interventions but exposes patients to ionizing radiation, motivating t

A Workflow-Oriented Framework for Asynchronous Human-AI Collaboration in Hybrid and Compute-Intensive HPC Environments

arXiv:2605.03743v1 Announce Type: cross Abstract: Human involvement is critical in training and deploying AI systems in high-stakes defence and security contexts. However, real-time interaction is imp

Adaptive Learning Strategies for AoA-Based Outdoor Localization: A Comprehensive Framework

arXiv:2605.05055v1 Announce Type: new Abstract: Localization in 5G and 6G networks is essential for important use cases such as intelligent transportation, smart factories, and smart cities. Although

Angle-I2P: Angle-Consistent-Aware Hierarchical Attention for Cross-Modality Outlier Rejection

arXiv:2605.04541v1 Announce Type: new Abstract: Image-to-point-cloud registration (I2P) is a fundamental task in robotic applications such as manipulation,grasping, and localization. Existing deep lea

Apple dominate local inference 6/10 This is completely opposite to enterprise/data-center adoption where Nvidia is king. Huge market Nvidia …

Apple dominate local inference 6/10 This is completely opposite to enterprise/data-center adoption where Nvidia is king. Huge market Nvidia is letting slip. High VRAM + mid bandwidth + working kernels

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ARISE: A Repository-level Graph Representation and Toolset for Agentic Fault Localization and Program Repair

arXiv:2605.03117v1 Announce Type: cross Abstract: Repository-level fault localization (FL) and automated program repair (APR) require an agent to identify the relevant code units across files, follow

Available now on local and 1-2 hours on cloud 🫡

ComfyUI announced the availability of a feature or service that can be accessed locally immediately and on cloud infrastructure with a 1-2 hour latency or deployment time. This post likely refers to a

b9050

B9050 is a release build of llama.cpp, an open-source C/C++ project that enables LLM inference with minimal setup and high performance on diverse hardware platforms. The project provides LLM inference

b9055

B9055 is the latest version of llama.cpp, released on May 7, 2026. Llama.cpp is an LLM inference framework implemented in C/C++ that enables efficient large language model execution with broad hardwar

b9056

b9056 is a release of llama.cpp, a C/C++ implementation for LLM inference . The project enables users to run LLaMA models on consumer hardware without expensive GPUs or cloud infrastructure . This rel

b9058

I was unable to find specific details about the b9058 release. Based on the context, b9058 is a build version from the llama.cpp project, which is an open source software library that performs inferen

b9060

b9060 is a release build identifier for llama.cpp, an open-source LLM inference framework implemented in C/C++. This build represents a snapshot in the project's ongoing development, containing bug fi

b9061

Release b9061 is a build version of llama.cpp, a C/C++ implementation designed to enable LLM inference with minimal setup and state-of-the-art performance across various hardware platforms . As a spec

b9063

Release b9063 is a build of llama.cpp, a project for LLM inference in C/C++. llama.cpp enables efficient large language model execution on consumer hardware through optimized implementations and quant

b9066

llama.cpp b9066 is a release of a C/C++ implementation for large language model (LLM) inference . Based on the release repository structure, b9066 represents a specific build or commit version of the

CleanFreak - one-click 'tidy by role' for ComfyUI — loaders / encoders / samplers / decoders each get their own column. 1200+ nodes pre-classified. Connections preserved.

CleanFreak is a ComfyUI organization tool that automatically arranges nodes into categorized columns by function (loaders, encoders, samplers, decoders) with a single click, supporting over 1200 pre-c

comfyui-lora-FindingLora - a Lora Loader with fuzzy search, one click chaining, bookmarks and triggers.

ComfyUI-Lora-FindingLora is a specialized loader extension for the ComfyUI image generation framework that streamlines LoRA (Low-Rank Adaptation) model management through fuzzy search functionality, e

Concurrence of Symmetry Breaking and Nonlocality Phase Transitions in Diffusion Models

arXiv:2605.04830v1 Announce Type: new Abstract: Diffusion models undergo a phase transition in a critical time window during generation dynamics, with two complementary diagnoses of criticality. The s

Contextual Multi-Objective Optimization: Rethinking Objectives in Frontier AI Systems

arXiv:2605.03900v1 Announce Type: new Abstract: Frontier AI systems perform best in settings with clear, stable, and verifiable objectives, such as code generation, mathematical reasoning, games, and

Counterfactual identifiability beyond global monotonicity: non-monotone triangular structural causal models

arXiv:2605.04413v1 Announce Type: new Abstract: Structural causal models provide a unified semantics for interventions and counterfactuals, but most identifiability results rely on restrictive assumpt

Covariance-Aware Goodness for Scalable Forward-Forward Learning

arXiv:2605.04346v1 Announce Type: cross Abstract: The Forward-Forward algorithm eliminates global gradient flow and full network activations storage. However, in convolutional settings, existing BP-fr

DiCLIP: Diffusion Model Enhances CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation

arXiv:2605.04593v1 Announce Type: new Abstract: Weakly Supervised Semantic Segmentation (WSSS) with image-level labels typically leverages Class Activation Maps (CAMs) to achieve pixel-level predictio

Exact Dual Geometry of SOC-ICNN Value Functions

arXiv:2605.04722v1 Announce Type: new Abstract: Input Convex Neural Networks (ICNNs) are commonly used in a two-stage manner: one first trains a convex network and then minimizes it over its input in

FaSTA^*: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing

arXiv:2506.20911v2 Announce Type: replace Abstract: We develop a cost-efficient neurosymbolic agent to address challenging multi-turn image editing tasks such as ``Detect the bench in the image while

Flux.2-Klein Tiling Upscale Workflow

A ComfyUI workflow that uses Flux 2 Klein for the first upscale pass where detail is introduced carefully, then uses SeedVR2 to push the final resolution higher via tiling. The workflow maintains the

From Intent to Execution: Composing Agentic Workflows with Agent Recommendation

arXiv:2605.03986v1 Announce Type: new Abstract: Multi-Agent Systems (MAS) built using AI agents fulfill a variety of user intents that may be used to design and build a family of related applications.

Generate 10 images in under 10 seconds. Introducing Grok @imagine Image Quality. A new image model in the Grok Imagine family that generates…

Generate 10 images in under 10 seconds. Introducing Grok @imagine Image Quality. A new image model in the Grok Imagine family that generates impressive realism, text rendering and prompt adherence at

Geometry-Aware State Space Model: A New Paradigm for Whole-Slide Image Representation

arXiv:2605.05164v1 Announce Type: new Abstract: Accurate analysis of histopathological images is critical for disease diagnosis and treatment planning. Whole-slide images (WSIs), which digitize tissue

Hardware-Aware Neural Feature Extraction for Resource-Constrained Devices

arXiv:2605.04282v1 Announce Type: new Abstract: Visual SLAM is a core component of spatial computing systems, yet deploying learned local feature extractors on microcontroller-class hardware remains c

HERCULES: Hardware-Efficient, Robust, Continual Learning Neural Architecture Search

arXiv:2605.04103v1 Announce Type: cross Abstract: Neural Architecture Search (NAS) has emerged as a powerful framework for automatically discovering neural architectures that balance accuracy and effi

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HEXST: Hexagonal Shifted-Window Transformer for Spatial Transcriptomics Gene Expression Prediction

arXiv:2605.04682v1 Announce Type: cross Abstract: Spatial transcriptomics offers spatially resolved gene expression profiling within tissue sections, but its cost and limited throughput hinder large-s

Keyword spotting using convolutional neural network for speech recognition in Hindi

arXiv:2605.02928v1 Announce Type: cross Abstract: In this study, we investigate the application of keyword spotting (KWS) in the domain of Hindi speech recognition, utilizing a dataset comprising 40,0

Learned Neighbor Trust for Collaborative Deployment in Model-Agnostic Decentralized Learning

arXiv:2605.05009v1 Announce Type: new Abstract: Many decentralized distillation methods are designed around training-time coordination, yet deploy each node in isolation even when more capable neighbo

Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation

arXiv:2512.23864v3 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models have shown remarkable generalization by mapping web-scale knowledge to robotic control, yet they remain bl

'Lighthouse' mode for ComfyUI — click any node and the rest of the workflow lights up by graph distance. Direct dependencies red, then orange, yellow, green, blue, violet.

'Lighthouse' mode is a ComfyUI feature that visualizes workflow dependencies through color-coded highlighting based on graph distance from a selected node. When a user clicks on any node, direct depen

LTX 2.3 Slow Motion

LTX-2.3 is an open-source video generation model capable of producing slow-motion effects and hyper-detailed visuals , with 4K output up to 20 seconds and native audio . The model addresses creator pa

MixINN: Accelerating Plant Breeding by Combining Mixed Models and Deep Learning for Interaction Prediction

arXiv:2605.04744v1 Announce Type: new Abstract: Plant breeding underpins global food security through incremental, accumulating improvements in crop yield, quality and sustainability, achieved via rep

Model Quantization: Post-Training Quantization Using NVIDIA Model Optimizer

Post-training quantization is a technique that reduces model size and improves inference performance by converting weights and activations to lower precision formats after training is complete. NVIDIA

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