Search: “deployment”

Harrison Chase, co-founder of LangChain, discusses why agent harnesses are becoming the dominant architectural pattern for building AI agents, likely referencing a thread by Howie Chase (@hwchase17).

agentsharrison-chase--x

Content type

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

Local Ai

model page: https://ollama.com/library/minimax-m2.7

DGX agent

MiniMax-M1 is a large-scale open-weight reasoning model developed by MiniMax, featuring a hybrid Mixture-of-Experts (MoE) architecture with 456 billion total parameters (activating 45.9 billion per to

local-aiollama--x

12 Apr 2026

Run it on the AI Native Cloud — serverless and dedicated infrastructure. https://www.together.ai/models/minimax-m2-7

MiniMax-M2 is a large-scale mixture-of-experts (MoE) language model available for inference on Together AI's platform, accessible via both serverless and dedicated infrastructure options. The model ca

toolstogether-ai--x

Industry

SpaceX’s Starlink keeps people connected even in the most remote places 🛶 With over 10,000 satellites in orbit, the network keeps improving…

SpaceX's Starlink satellite internet constellation, comprising over 10,000 satellites in low Earth orbit, provides broadband connectivity to users in remote and underserved locations worldwide. The ne

industryelon-musk--x

Applications

Too on point not to share, “Aussie reply to Trump rant about NATO not being there for us. Mate. You run a country with 600,000 homeless peop…

applicationsyann-lecun--x

Too on point not to share, “Aussie reply to Trump rant about NATO not being there for us. Mate. You run a country with 600,000 homeless people sleeping on the street tonight. A country where 40% of ad

🔗 ChatGPT Desktop: https://chatgpt.com/download/

OpenAI offers an official ChatGPT desktop app for both macOS and Windows, available for free download at chatgpt.com/download. The app provides quick AI access via a keyboard shortcut (Option+Space...

model-releasesopenai--x

Local Ai

ComfyUI workflow to fully python script?

local-air-stablediffusion

This Reddit thread from r/StableDiffusion discusses how to convert a ComfyUI visual node-based workflow into a standalone, executable Python script. Tools like the ComfyUI-to-Python-Extension bridge t

Falcon 9 launches 25 @Starlink satellites from California

model-releaseselon-musk--x

SpaceX successfully launched 25 Starlink satellites aboard a Falcon 9 rocket from a California launch site, expanding the company's broadband internet constellation. This mission is part of SpaceX's o

Industry

First start of FSD in The Netherlands 🇳🇱 TLDR: long video, short quiz

Tesla's Full Self-Driving (FSD) system was activated for the first time in the Netherlands, marking a significant expansion of the autonomous driving feature into the European market. The post, shared

industryelon-musk--x

For AI agents, when you want every last bit of what is possible, open source is turning out to be the only way

model-releasesharrison-chase--x

For AI agents, when you want every last bit of what is possible, open source is turning out to be the only way Hot take: I can't see any startup building their critical core operations on Claude Manag

Some photos from my @aiDotEngineer Europe talk, credits to @sergiopesch He managed to capture the “Agentol, Apply Generously” slide, lol

Swyx (Shawn Wang) gave a talk at the AI Engineer Europe conference, sharing insights likely related to AI agents and engineering practices. A humorous slide titled 'Agentol, Apply Generously' was capt

toolsswyx--x

Industry

Tesla FSD is now rolling out to actual customers in the Netherlands!

Tesla's Full Self-Driving (FSD) software has begun rolling out to customers in the Netherlands, marking an expansion of the advanced driver-assistance system into the European market. This announcemen

industryelon-musk--x

Agents

A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions

arXiv:2501.16150v3 Announce Type: replace Abstract: Agents for computer use (ACUs) are an emerging class of systems capable of executing complex tasks on digital devices -- such as desktops, mobile ph

agentsarxiv-cs-ai

A Parameter-Efficient Transfer Learning Approach through Multitask Prompt Distillation and Decomposition for Clinical NLP

arXiv:2604.06650v1 Announce Type: cross Abstract: Existing prompt-based fine-tuning methods typically learn task-specific prompts independently, imposing significant computing and storage overhead at

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest

arXiv:2604.08525v1 Announce Type: cross Abstract: Today's large language models (LLMs) are trained to align with user preferences through methods such as reinforcement learning. Yet models are beginni

AgentCity: Constitutional Governance for Autonomous Agent Economies via Separation of Power

arXiv:2604.07007v1 Announce Type: cross Abstract: Autonomous AI agents are beginning to operate across organizational boundaries on the open internet -- discovering, transacting with, and delegating t

safetyarxiv-cs-ai

AgentGate: A Lightweight Structured Routing Engine for the Internet of Agents

arXiv:2604.06696v1 Announce Type: new Abstract: The rapid development of AI agent systems is leading to an emerging Internet of Agents, where specialized agents operate across local devices, edge node

AgriChain Visually Grounded Expert Verified Reasoning for Interpretable Agricultural Vision Language Models

model-releasesarxiv-cs-cv

arXiv:2604.07814v1 Announce Type: new Abstract: Accurate and interpretable plant disease diagnosis remains a major challenge for vision-language models (VLMs) in real-world agriculture. We introduce A

AgriPath: A Systematic Exploration of Architectural Trade-offs for Crop Disease Classification

model-releasesarxiv-cs-lg

arXiv:2603.13354v3 Announce Type: replace-cross Abstract: Reliable crop disease detection requires models that perform consistently across diverse acquisition conditions, yet existing evaluations ofte

AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization

model-releasesarxiv-cs-lg

arXiv:2503.03088v4 Announce Type: replace-cross Abstract: The Segment Anything Model (SAM) has revolutionized image and video segmentation with its powerful zero-shot capabilities. However, its massiv

AI-Driven Research for Databases

arXiv:2604.06566v1 Announce Type: cross Abstract: As the complexity of modern workloads and hardware increasingly outpaces human research and engineering capacity, existing methods for database perfor

safetyarxiv-cs-ai

Applications

AI generates well-liked but templatic empathic responses

arXiv:2604.08479v1 Announce Type: new Abstract: Recent research shows that greater numbers of people are turning to Large Language Models (LLMs) for emotional support, and that people rate LLM respons

applicationsarxiv-cs-cl

Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference

arXiv:2604.08133v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) has become a dominant architecture for scaling large language models due to their sparse activation mechanism. However, the s

An empirical study of LoRA-based fine-tuning of large language models for automated test case generation

arXiv:2604.06946v1 Announce Type: cross Abstract: Automated test case generation from natural language requirements remains a challenging problem in software engineering due to the ambiguity of requir

Anthropic and OpenAI target big businesses with enterprise-grade controls and lower pricing

model-releasessiliconangle

Artificial intelligence leaders Anthropic PBC and OpenAI Group PBC are stepping up their efforts to compete for the enterprise, making their most advanced agentic tools more accessible to the largest

Broken by Default: A Formal Verification Study of Security Vulnerabilities in AI-Generated Code

arXiv:2604.05292v2 Announce Type: replace-cross Abstract: AI coding assistants are now used to generate production code in security-sensitive domains, yet the exploitability of their outputs remains u

Build knowledge agents without embeddings

Vercel's open-source Knowledge Agent Template enables developers to build AI knowledge agents using a filesystem and bash tools (grep, find, cat) instead of the traditional vector database, embeddi...

toolsvercel-blog

Can Vision Language Models Judge Action Quality? An Empirical Evaluation

arXiv:2604.08294v1 Announce Type: cross Abstract: Action Quality Assessment (AQA) has broad applications in physical therapy, sports coaching, and competitive judging. Although Vision Language Models

Chat SDK adds Liveblocks support

Vercel's Chat SDK now supports Liveblocks, enabling bots to read and respond within Liveblocks Comments threads via a new Liveblocks adapter. This is an official vendor adapter built and maintained...

toolsvercel-blog

Claude now supports dynamic looping. If you run /loop without passing an interval, Claude will dynamically schedule the next tick based on y…

model-releasesboris-cherny--x

Claude now supports dynamic looping. If you run /loop without passing an interval, Claude will dynamically schedule the next tick based on your task. It also may directly use the Monitor tool to bypas

Continual Visual Anomaly Detection on the Edge: Benchmark and Efficient Solutions

arXiv:2604.06435v1 Announce Type: cross Abstract: Visual Anomaly Detection (VAD) is a critical task for many applications including industrial inspection and healthcare. While VAD has been extensively

CoreWeave inks multiyear cloud deal with Anthropic

model-releasessiliconangle

CoreWeave Inc. today announced that it has won a multiyear contract to supply Anthropic PBC with cloud infrastructure. The company’s shares closed 11% higher on the news. The data center capacity comm

Cost-Efficient Multi-Scale Fovea for Semantic-Based Visual Search Attention

arXiv:2604.03836v2 Announce Type: replace-cross Abstract: Semantics are one of the primary sources of top-down preattentive information. Modern deep object detectors excel at extracting such valuable

researcharxiv-cs-cv

[D] Large scale OCR [D]

researchr-machinelearning

The specific Reddit thread (r/MachineLearning post ID 1shg2ob) was not returned in the search results, and I was unable to directly fetch the URL's content. I cannot accurately summarize a page I h...

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

Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models

arXiv:2604.06871v1 Announce Type: cross Abstract: Large Speech Language Models (LSLMs) typically operate at high token rates (tokens/s) to ensure acoustic fidelity, yet this results in sequence length

researcharxiv-cs-ai

Drift-Based Policy Optimization: Native One-Step Policy Learning for Online Robot Control

arXiv:2604.03540v2 Announce Type: replace Abstract: Although multi-step generative policies achieve strong performance in robotic manipulation by modeling multimodal action distributions, they require

safetyarxiv-cs-ro

Dual-Pool Token-Budget Routing for Cost-Efficient and Reliable LLM Serving

arXiv:2604.08075v1 Announce Type: new Abstract: Production vLLM fleets typically provision each instance for the worst-case context length, leading to substantial KV-cache over-allocation and under-ut

EchoTorrent: Towards Swift, Sustained, and Streaming Multi-Modal Video Generation

arXiv:2602.13669v4 Announce Type: replace Abstract: Recent multi-modal video generation models have achieved high visual quality, but their prohibitive latency and limited temporal stability hinder re

safetyarxiv-cs-cv

ESOM: Efficiently Understanding Streaming Video Anomalies with Open-world Dynamic Definitions

model-releasesarxiv-cs-cv

arXiv:2604.07772v1 Announce Type: new Abstract: Open-world video anomaly detection (OWVAD) aims to detect and explain abnormal events under different anomaly definitions, which is important for applic

FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs

model-releasesarxiv-cs-lg

arXiv:2604.06297v1 Announce Type: cross Abstract: Given the growing reliance on private data in training Large Language Models (LLMs), Federated Learning (FL) combined with Parameter-Efficient Fine-Tu

Fighting AI with AI: AI-Agent Augmented DNS Blocking of LLM Services during Student Evaluations

arXiv:2604.02360v1 Announce Type: cross Abstract: The transformative potential of large language models (LLMs) in education, such as improving accessibility and personalized learning, is being eclipse

Hardware

Foundry: Template-Based CUDA Graph Context Materialization for Fast LLM Serving Cold Start

arXiv:2604.06664v1 Announce Type: cross Abstract: Modern LLM service providers increasingly rely on autoscaling and parallelism reconfiguration to respond to rapidly changing workloads, but cold-start

hardwarearxiv-cs-lg

From Classical Machine Learning to Tabular Foundation Models: An Empirical Investigation of Robustness and Scalability Under Class Imbalance in Emergency and Critical Care

arXiv:2512.21602v2 Announce Type: replace-cross Abstract: Millions of patients pass through emergency departments and intensive care units each year, where clinicians must make high-stakes decisions u

researcharxiv-cs-cv

From experimentation to engagement: on the paradox of participatory AI and power in contexts of forced displacement and humanitarian crises

arXiv:2604.06219v1 Announce Type: cross Abstract: Across the Global North, calls for participatory artificial intelligence (AI) to improve the responsible, safe, and ethical use of AI have increased,

safetyarxiv-cs-ai

Hardware

Full State-Space Visualisation of the 8-Puzzle: Feasibility, Design, and Educational Use

arXiv:2604.06186v1 Announce Type: cross Abstract: Search algorithms are a foundational topic in artificial intelligence education, yet even simple domains can generate large state spaces that challeng

hardwarearxiv-cs-ai

Graph Neural Networks for Misinformation Detection: Performance-Efficiency Trade-offs

arXiv:2604.08131v1 Announce Type: new Abstract: The rapid spread of online misinformation has led to increasingly complex detection models, including large language models and hybrid architectures. Ho

Applications

Healthcare

The OpenAI Academy Healthcare section is a resource hub providing prompts, guides, and real-world examples to help clinicians, researchers, and administrators apply ChatGPT in day-to-day healthcare...

applicationsopenai