Search: “hardware”

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight

model-releasesarxiv-cs-ro

arXiv:2501.14377v2 Announce Type: replace Abstract: Autonomous drone racing has risen as a challenging robotic benchmark for testing the limits of learning, perception, planning, and control. Expert h

Content type

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

Agents

Fast-dVLM: Efficient Block-Diffusion VLM via Direct Conversion from Autoregressive VLM

DGX agent

arXiv:2604.06832v2 Announce Type: replace Abstract: Vision-language models (VLMs) predominantly rely on autoregressive decoding, which generates tokens one at a time and fundamentally limits inference

agentsarxiv-cs-cl

13 Apr 2026

I benchmarked Gemma4:e4b vs Gemma3:27B vs GPT-4o-mini vs Gemini 2.5 Flash on a Mac Mini M4 Pro 24gb — full results

A Reddit user on r/ollama conducted a hands-on benchmark comparing Gemma4:e4b (Google's compact ~4.5B effective-parameter edge model) against Gemma3:27B, GPT-4o-mini, and Gemini 2.5 Flash, all run or

I’m looking for advice on setting up a local AI model that can generate Word reports automatically.

This r/ollama thread discusses community advice on configuring a locally-run AI model (via Ollama) to automatically generate Word documents or reports, covering topics such as model selection, scripti

Integrated electro-optic attention nonlinearities for transformers

arXiv:2604.09512v1 Announce Type: new Abstract: Transformers have emerged as the dominant neural-network architecture, achieving state-of-the-art performance in language processing and computer vision

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction

arXiv:2506.11552v2 Announce Type: replace-cross Abstract: Quantum error correction is crucial for protecting quantum information against decoherence. Traditional codes like the surface code require su

Modality-Aware Zero-Shot Pruning and Sparse Attention for Efficient Multimodal Edge Inference

arXiv:2604.08971v1 Announce Type: new Abstract: Edge devices increasingly run multimodal sensing pipelines that must remain accurate despite fluctuating power budgets and unpredictable sensor dropout.

One Interface, Many Robots: Unified Real-Time Low-Level Motion Planning for Collaborative Arms

arXiv:2604.08787v1 Announce Type: new Abstract: This paper proposes a common interface for real-time low-level motion planning of collaborative robotic arms, aimed at enabling broader applicability an

researcharxiv-cs-ro

Online Intention Prediction via Control-Informed Learning

model-releasesarxiv-cs-lg

arXiv:2604.09303v1 Announce Type: cross Abstract: This paper presents an online intention prediction framework for estimating the goal state of autonomous systems in real time, even when intention is

Statistical Properties of the King Wen Sequence: An Anti-Habituation Structure That Does Not Improve Neural Network Training

arXiv:2604.09234v1 Announce Type: cross Abstract: The King Wen sequence of the I-Ching (c. 1000 BC) orders 64 hexagrams -- states of a six-dimensional binary space -- in a pattern that has puzzled sch

local-aiarxiv-cs-ai

Thinking about trying Ollama Pro — how does it compare to Claude/Codex?

This Reddit thread from r/ollama discusses user perspectives on **Ollama Pro** as a paid/upgraded tier compared to cloud-based AI coding assistants like Anthropic's Claude and OpenAI's Codex, likely f

Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification

arXiv:2604.09374v1 Announce Type: cross Abstract: We propose a Hybrid Quantum-Classical Physics-Informed Neural Network (HQC-PINN) that integrates parameterized variational quantum circuits into the P

AceStep 1.5 XL Turbo + LTX 2.3 on an 8GB RTX 5060 Laptop

This r/StableDiffusion post demonstrates running AceStep 1.5 XL Turbo alongside LTX Video 2.3 on a laptop equipped with an 8GB NVIDIA RTX 5060 GPU — a notable feat given that the XL (4B) model require

After seeing that Claude Mythos marketing turned out to be, as expected, a scam, I wanted to make a master list of tricks being used to mark…

model-releasesyann-lecun--x

After seeing that Claude Mythos marketing turned out to be, as expected, a scam, I wanted to make a master list of tricks being used to market LLMs. The master list includes statements directly from l

Benchmark Your Local LLMs in 3 Commands

This r/ollama post describes a streamlined method for performance-testing locally-running large language models using the Ollama framework, achievable with just three terminal commands. It likely intr

Can you use Qwen3.5 4b & Gemma 4 E4B with Z image/Turbo?

model-releasesr-stablediffusion

This Reddit thread from r/StableDiffusion discusses the compatibility of compact LLMs — Qwen3.5 4B and Gemma 4 E4B — as text encoder/LLM components within Z-Image and Z-Image Turbo image generation wo

Can't get a good coding setup on Macbook Pro M3 Max 36GB

This Reddit thread from r/ollama discusses a user's difficulty achieving a satisfactory local AI coding assistant setup using Ollama on a MacBook Pro M3 Max with 36GB of unified memory. The discussion

how much of vram i need for joy-image-edit

This r/StableDiffusion thread discusses the VRAM requirements for running Qwen-Image-Edit (joy-image-edit) locally. The full model in standard precision demands significant VRAM — using bitsandbytes q

I see every week on X an announcement or demo which implies that robotic manipulation has been solved. The only reason I don't believe it is…

I see every week on X an announcement or demo which implies that robotic manipulation has been solved. The only reason I don't believe it is because manipulation had already been solved last week by s

researchyann-lecun--x

Local AI tools for turning drawings into videos? (AnimateDiff, SVD, low VRAM)

This r/StableDiffusion thread discusses local, offline AI tools for animating hand-drawn artwork into videos, focusing on community recommendations around AnimateDiff and Stable Video Diffusion (SVD).

Qwen 2511 fp8 mixed taking 30–40s per image edit — which GGUF should I use?

model-releasesr-stablediffusion

This r/StableDiffusion thread addresses performance issues with the Qwen-Image-Edit-2511 FP8 mixed model in ComfyUI, where users experience slow image edit times of 30–40 seconds per step (or overall)

RTX 5080/5090 Laptop for ComfyUI vs. Remote Desktop?

This Reddit thread from r/StableDiffusion discusses the trade-offs between purchasing an RTX 5080 or 5090 laptop for running ComfyUI locally versus using a remote desktop/cloud GPU setup for Stable Di

Which model would be the best to generate fictional country flags? SDXL/Qwen/Wan/ZIT/ZIB/Flux Klein/Flux Dev?

model-releasesr-stablediffusion

This r/StableDiffusion post discusses community recommendations for the best AI image generation model to create fictional country flags, comparing options including SDXL, Qwen, Wan, ZIT, ZIB, Flux Kl

b8757

local-aillama-cpp-releases

**b8757** is a versioned build release of [llama.cpp](https://github.com/ggml-org/llama.cpp), an open-source C/C++ framework for running large language model (LLM) inference locally on consumer hardwa

Goose desktop setup for Ollama cloud

This Reddit post from r/ollama likely discusses how to configure the Goose desktop application — an open-source, autonomous AI agent developed by Block — to work with Ollama Cloud as its LLM provider.

Hallucination problem

A Reddit thread in r/ollama where a user reports experiencing AI hallucination issues when running local language models through Ollama. The discussion likely covers symptoms such as models generating

👇 “I still maintain that LLMs are really dumb and of limited use. it’s my opinion as a practitioner and professional that the hype being pe…

👇 “I still maintain that LLMs are really dumb and of limited use. it’s my opinion as a practitioner and professional that the hype being peddled by the AI corporations and self promoters (from X grift

safetygary-marcus--x

llm-server v2 ai-tuning it self now best performance for llama.cpp/ik_llama.cpp (big steps form v1) auto flag optimization

**llm-server v2** is a community-developed local LLM server tool that introduces AI-driven self-tuning capabilities, automatically identifying and applying optimal performance flags for **llama.cpp**

Ollama stopped working on a new macbook

This Reddit thread from r/ollama discusses a user experiencing Ollama suddenly failing to function on a new MacBook, a problem that has been widely reported across the community. Common causes in such

Ollama with VSCode

This Reddit thread likely discusses how to integrate Ollama with Visual Studio Code to enable locally-run AI assistance directly within the editor. The typical setup involves VS Code running the Conti

ActiveGlasses: Learning Manipulation with Active Vision from Ego-centric Human Demonstration

arXiv:2604.08534v1 Announce Type: new Abstract: Large-scale real-world robot data collection is a prerequisite for bringing robots into everyday deployment. However, existing pipelines often rely on s

safetyarxiv-cs-ro

b8749

local-aillama-cpp-releases

The search results do not contain specific changelog details for the exact `b8749` tag. Based on the available information about the llama.cpp project and its release cadence, here is a factual sum...

DHFP-PE: Dual-Precision Hybrid Floating Point Processing Element for AI Acceleration

arXiv:2604.04507v2 Announce Type: replace-cross Abstract: The rapid adoption of low-precision arithmetic in artificial intelligence and edge computing has created a strong demand for energy-efficient

researcharxiv-cs-ro

Distributed Interpretability and Control for Large Language Models

model-releasesarxiv-cs-ai

arXiv:2604.06483v1 Announce Type: cross Abstract: Large language models that require multiple GPU cards to host are usually the most capable models. It is necessary to understand and steer these model

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference

model-releasesarxiv-cs-cl

arXiv:2604.07394v1 Announce Type: cross Abstract: The quadratic computational complexity of standard attention mechanisms presents a severe scalability bottleneck for LLMs in long-context scenarios. W

Flux2 Klein 2 stage upscale?

A 2-stage upscaling workflow using FLUX.2 Klein in ComfyUI combines the model's image-editing capabilities with a secondary upscaler (such as SeedVR2) to produce high-resolution outputs — for examp...

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling

arXiv:2604.06916v1 Announce Type: cross Abstract: Reinforcement-Learning-based post-training has recently emerged as a promising paradigm for aligning text-to-image diffusion models with human prefere

safetyarxiv-cs-ai

glm 5.1 is doing well

GLM-5.1 is Z.ai's next-generation flagship model for agentic engineering, built on a 754-billion parameter Mixture-of-Experts architecture with 40 billion active parameters per token, a 200,000-tok...

In a world where writing code to build websites and apps is trivial (thank you Lovable, Cursor, Claude,...), the real differentiation for yo…

model-releasesclem-delangue--x

In a world where writing code to build websites and apps is trivial (thank you Lovable, Cursor, Claude,...), the real differentiation for you and your company (and what makes you successful) will be h

Incorporating Social Awareness into Control of Unknown Multi-Agent Systems: A Real-Time Spatiotemporal Tubes Approach

arXiv:2510.25597v2 Announce Type: replace-cross Abstract: This paper presents a decentralized control framework that incorporates social awareness into multi-agent systems with unknown dynamics to ach

safetyarxiv-cs-ro

Iteratively Learning Muscle Memory for Legged Robots to Master Adaptive and High Precision Locomotion

arXiv:2507.13662v2 Announce Type: replace Abstract: This paper presents a scalable and adaptive control framework for legged robots that integrates Iterative Learning Control (ILC) with a biologically

researcharxiv-cs-ro

NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, Structured Data, and General Computing Infrastructure

arXiv:2604.03336v2 Announce Type: replace Abstract: BitNet b1.58 (Ma et al., 2024) demonstrates that large language models can operate entirely on ternary weights {-1, 0, +1}, yet no native binary wir

local-aiarxiv-cs-lg

Agents

ParkSense: Where Should a Delivery Driver Park? Leveraging Idle AV Compute and Vision-Language Models

arXiv:2604.07912v1 Announce Type: new Abstract: Finding parking consumes a disproportionate share of food delivery time, yet no system addresses precise parking-spot selection relative to merchant ent

agentsarxiv-cs-cv

PrivFedTalk: Privacy-Aware Federated Diffusion with Identity-Stable Adapters for Personalized Talking-Head Generation

model-releasesarxiv-cs-cv

arXiv:2604.08037v1 Announce Type: cross Abstract: Talking-head generation has advanced rapidly with diffusion-based generative models, but training usually depends on centralized face-video and speech

Applications

Production-Ready Automated ECU Calibration using Residual Reinforcement Learning

arXiv:2604.07059v1 Announce Type: new Abstract: Electronic Control Units (ECUs) have played a pivotal role in transforming motorcars of yore into the modern vehicles we see on our roads today. They ac

applicationsarxiv-cs-lg

SANDO: Safe Autonomous Trajectory Planning for Dynamic Unknown Environments

model-releasesarxiv-cs-ro

arXiv:2604.07599v1 Announce Type: new Abstract: SANDO is a safe trajectory planner for 3D dynamic unknown environments, where obstacle locations and motions are unknown a priori and a collision-free p

SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training

model-releasesarxiv-cs-ai

arXiv:2604.06900v1 Announce Type: cross Abstract: The field of cybersecurity is confronted with two interrelated challenges: a worldwide deficit of qualified practitioners and ongoing human-factor wea

Should we be optimizing for limited compute instead of more parameters? Thoughts?

"The search did not return the specific Reddit thread. However, I can provide a summary based on what the topic is broadly about within the local-AI/Ollama community context: