All entries

Pinecone Launches First Serverless Region in Asia with New Singapore Cloud Region, Bringing the Knowledge Infrastructure for AI to the Asia-Pacific Market

Pinecone announced the launch of its first serverless region in Asia, specifically in Singapore, expanding its vector database infrastructure to the Asia-Pacific market. This new cloud region enables

model-releasespinecone

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

Tools

Pinecone Nexus: The Knowledge Engine for Agents

DGX agent

Pinecone Nexus is a knowledge infrastructure platform designed to enable AI agents to access, retrieve, and reason over enterprise data at scale. The system addresses the challenge of integrating larg

toolspinecone

4 May 2026

Industry

Pinterest reports Q1 revenue up 18% YoY to 1B, vs. 966M est., MAUs up 11% YoY to 631M, and forecasts Q2 revenue above estimates; PINS jumps 17%+ after hours (Jonathan Vanian/CNBC)

Jonathan Vanian / CNBC: Pinterest reports Q1 revenue up 18% YoY to 1B, vs. 966M est., MAUs up 11% YoY to 631M, and forecasts Q2 revenue above estimates; PINS jumps 17%+ after hours — Pinterest reporte

industrytechmeme

Poems that ChatGPT, Claude, and Gemini all seem to 'like' when you ask for poetry related to being/making LLMs: Rilke's 'Archaic Torso of Ap…

model-releasesethan-mollick--x

Poems that ChatGPT, Claude, and Gemini all seem to 'like' when you ask for poetry related to being/making LLMs: Rilke's 'Archaic Torso of Apollo' Stevens' 'Idea of Order at Key West' Borges's 'The Gol

Local Ai

Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning

arXiv:2605.00265v1 Announce Type: new Abstract: Real-world knowledge is often organized as hierarchies such as product taxonomies, medical ontologies, and label trees, yet learning hierarchical repres

local-aiarxiv-cs-lg

PORTool: Importance-Aware Policy Optimization with Rewarded Tree for Multi-Tool-Integrated Reasoning

arXiv:2510.26020v2 Announce Type: replace Abstract: Multi-tool-integrated reasoning enables LLM-empowered tool-use agents to solve complex tasks by interleaving natural-language reasoning with calls t

Pose-Aware Diffusion for 3D Generation

arXiv:2605.00345v1 Announce Type: new Abstract: Generating pose-aligned 3D objects is challenging due to the spatial mismatches and transformation ambiguities inherent in decoupled canonical-then-rota

safetyarxiv-cs-cv

Agents

Position: agentic AI orchestration should be Bayes-consistent

arXiv:2605.00742v1 Announce Type: cross Abstract: LLMs excel at predictive tasks and complex reasoning tasks, but many high-value deployments rely on decisions under uncertainty, for example, which to

agentsarxiv-cs-lg

Possibilistic Predictive Uncertainty for Deep Learning

arXiv:2605.00600v1 Announce Type: cross Abstract: Deep neural networks achieve impressive results across diverse applications, yet their overconfidence on unseen inputs necessitates reliable epistemic

Posterior Augmented Flow Matching

arXiv:2605.00825v1 Announce Type: new Abstract: Flow matching (FM) trains a time-dependent vector field that transports samples from a simple prior to a complex data distribution. However, for high-di

Industry

Powering the Inference Era: Inside the DigitalOcean AI-Native Cloud

DigitalOcean outlines its AI-native cloud infrastructure designed to support the inference phase of AI model deployment, emphasizing tools and services that enable businesses to run and scale AI model

industrydigitalocean

PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance

arXiv:2411.02327v4 Announce Type: replace Abstract: In the past year, video-based large language models (Video LLMs) have achieved impressive progress, particularly in their ability to process long vi

safetyarxiv-cs-cv

Applications

Prediction of Alzheimer's Disease Risk Factors from Retinal Images via Deep Learning: Development and Validation of Biologically Relevant Morphological Associations in the UK Biobank

arXiv:2605.00665v1 Announce Type: new Abstract: The systemic, metabolic, lifestyle factors have established associations with Alzheimer's Disease (AD) through epidemiologic and AD-specific biomarker s

applicationsarxiv-cs-cv

Tutorials

Predictive Spatio-Temporal Scene Graphs for Semi-Static Scenes

arXiv:2605.00121v1 Announce Type: new Abstract: We have seen tremendous recent progress in our ability to build 'spatio-semantic' representations that enable robots to perform complex reasoning across

tutorialsarxiv-cs-ro

Local Ai

Prefer-DAS: Learning from Local Preferences and Sparse Prompts for Domain Adaptive Segmentation of Electron Microscopy

arXiv:2602.19423v3 Announce Type: replace Abstract: Domain adaptive segmentation (DAS) is a promising paradigm for delineating intracellular structures from various large-scale electron microscopy (EM

local-aiarxiv-cs-cv

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies

model-releasesarxiv-cs-lg

arXiv:2412.02125v2 Announce Type: replace-cross Abstract: Goal-conditioned policies enable decision-making models to execute diverse behaviors based on specified goals, yet their downstream performanc

PrefMoE: Robust Preference Modeling with Mixture-of-Experts Reward Learning

arXiv:2605.00384v1 Announce Type: new Abstract: Preference-based reinforcement learning offers a scalable alternative to manual reward engineering by learning reward structures from comparative feedba

safetyarxiv-cs-ro

Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States

arXiv:2506.00158v2 Announce Type: replace Abstract: Zeroth-order optimization has emerged as a promising approach for fine-tuning large language models under differential privacy (DP) and memory const

Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation

model-releasesarxiv-cs-cl

arXiv:2601.06600v2 Announce Type: replace Abstract: Short-video platforms have become major channels for misinformation, where deceptive claims frequently leverage visual experiments and social cues.

Tools

Product 1: Inputr A Chrome extension that fixes any image upload box on the web. Detects what the box wants dimensions, format, file size li…

Product 1: Inputr A Chrome extension that fixes any image upload box on the web. Detects what the box wants dimensions, format, file size limit then lets you upload + crop, create from scratch, or dra

toolsswyx--x

Agents

production agents need to feel responsive in real time. two primitives make that possible: streaming and concurrent request control. on stre…

production agents need to feel responsive in real time. two primitives make that possible: streaming and concurrent request control. on streaming: streaming is a first-class primitive in LangSmith's a

agentsharrison-chase--x

Prompt-Induced Score Variance in Zero-Shot Binary Vision-Language Safety Classification

arXiv:2605.00326v1 Announce Type: new Abstract: Single-prompt first-token probabilities from zero-shot vision-language model (VLM) safety classifiers are treated as decision scores, but we show they a

Provable and scalable quantum Gaussian processes for quantum learning

arXiv:2605.00099v1 Announce Type: cross Abstract: Despite rapid recent advances in quantum machine learning, the field is in many ways stuck. Existing approaches can exhibit serious limitations, and w

Putting HUMANS first: Efficient LAM Evaluation with Human Preference Alignment

model-releasesarxiv-cs-cl

arXiv:2605.00022v1 Announce Type: new Abstract: The rapid proliferation of large audio models (LAMs) demands efficient approaches for model comparison, yet comprehensive benchmarks are costly. To fill

Quantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels

arXiv:2605.00744v1 Announce Type: new Abstract: Edge detection refers to identifying points in a digital image where intensity changes sharply, indicating object boundaries or structural features. Cor

Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks

arXiv:2605.00747v1 Announce Type: cross Abstract: Quantum machine learning is a promising field for efficiently learning features of a dataset to perform a specified task, such as classification. Inte

Tools

Quoting Andy Masley

[...] Between 2000 and 2024, farmers sold in total a Colorado-sized chunk of land all on their own, 77 times all land on data center property in 2028, and grew more food than ever on what was left. No

toolssimon-willison

Local Ai

RadLite: Multi-Task LoRA Fine-Tuning of Small Language Models for CPU-Deployable Radiology AI

arXiv:2605.00421v1 Announce Type: new Abstract: Large language models (LLMs) show promise in radiology but their deployment is limited by computational requirements that preclude use in resource-const

local-aiarxiv-cs-cl

Randomized Subspace Nesterov Accelerated Gradient

arXiv:2605.00740v1 Announce Type: cross Abstract: Randomized-subspace methods reduce the cost of first-order optimization by using only low-dimensional projected-gradient information, a feature that i

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference

arXiv:2602.18196v3 Announce Type: replace Abstract: Structured dilated attention has an appealing inference-time efficiency knob: it reduces the FLOPs of attention and the KV cache size by a factor of

Industry

Reachy Mini wireless has landed in Singapore! #ReachyMini @ClementDelangue

Reachy Mini, a wireless robotics product, has been launched or made available in Singapore. The announcement was made by Clem Delangue, co-founder of Hugging Face, indicating market expansion for this

industryclem-delangue--x

Real-Time Frame- and Event-based Object Detection with Spiking Neural Networks on Edge Neuromorphic Hardware: Design, Deployment and Benchmark

model-releasesarxiv-cs-cv

arXiv:2605.00146v1 Announce Type: new Abstract: Real-time object detection on energy-constrained platforms is critical for applications such as UAV-based inspection, autonomous navigation, and mobile

Agents

Real-time video agents are here. Today, we’re sharing how we built Runway Characters, allowing you to turn one image into a fully expressive…

agentscristobal-valenzuela--x

Real-time video agents are here. Today, we’re sharing how we built Runway Characters, allowing you to turn one image into a fully expressive, conversational video agent streaming at 24 frames per seco

REALM: An RGB and Event Aligned Latent Manifold for Cross-Modal Perception

arXiv:2605.00271v1 Announce Type: new Abstract: Event cameras provide several unique advantages over standard frame-based sensors, including high temporal resolution, low latency, and robustness to ex

Reasoning-Intensive Regression

model-releasesarxiv-cs-cl

arXiv:2508.21762v3 Announce Type: replace Abstract: AI researchers and practitioners increasingly apply large language models (LLMs) to what we call reasoning-intensive regression (RiR), i.e., deducin

Recovering Hidden Reward in Diffusion-Based Policies

arXiv:2605.00623v1 Announce Type: new Abstract: This paper introduces EnergyFlow, a framework that unifies generative action modeling with inverse reinforcement learning by parameterizing a scalar ene

safetyarxiv-cs-ro

Redis Array Playground

model-releasessimon-willison

Tool: Redis Array Playground Salvatore Sanfilippo submitted a PR adding a new data type - arrays - to Redis. The new commands are ARCOUNT, ARDEL, ARDELRANGE, ARGET, ARGETRANGE, ARGREP, ARINFO, ARINSER

Tools

Register now for OpenClaw: After Hours @ GitHub

OpenClaw builders will gather at GitHub HQ during Microsoft Build 2026 for demos and conversations. Join in person, or watch the livestream on Twitch. The post Register now for OpenClaw: After Hours @

toolsgithub-ai-blog

Reinforcement Learning for LLM Post-Training: A Survey

arXiv:2407.16216v3 Announce Type: replace Abstract: Large language models (LLMs) trained via pretraining and supervised fine-tuning (SFT) can still produce harmful and misaligned outputs, or struggle

Reinforcement Learning with LLM-Guided Action Spaces for Synthesizable Lead Optimization

arXiv:2604.07669v2 Announce Type: replace Abstract: Lead optimization in drug discovery requires improving therapeutic properties while ensuring that molecular modifications correspond to feasible syn

Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation

arXiv:2605.00654v1 Announce Type: new Abstract: For a risk-averse finite-horizon Markov Decision Problem, we introduce a special class of Markov coherent risk measures, called mini-batch measures. We

ReLay: Personalized LLM-Generated Plain-Language Summaries for Better Understanding, but at What Cost?

arXiv:2605.00468v1 Announce Type: new Abstract: Plain Language Summaries (PLS) aim to make research accessible to lay readers, but they are typically written in a one-size-fits-all style that ignores

Remote SAMsing: From Segment Anything to Segment Everything

model-releasesarxiv-cs-cv

arXiv:2605.00256v1 Announce Type: new Abstract: SAM2 produces high-quality zero-shot segmentation on natural images, but applying it to large remote sensing scenes exposes two problems: (1) its mask g

Representation in large language models

arXiv:2501.00885v2 Announce Type: replace Abstract: The extraordinary success of recent Large Language Models (LLMs) on a diverse array of tasks has led to an explosion of scientific and philosophical

researcharxiv-cs-cl

ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning

arXiv:2605.00380v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) enhances reasoning of Large Language Models (LLMs) but usually exhibits limited generation diver

Resting Neurons, Active Insights: Robustify Activation Sparsity for Large Language Models

arXiv:2512.12744v3 Announce Type: replace Abstract: Activation sparsity offers a compelling route to accelerate large language model (LLM) inference by selectively suppressing hidden activations, yet

Rethinking LLM Ensembling from the Perspective of Mixture Models

arXiv:2605.00419v1 Announce Type: cross Abstract: Model ensembling is a well-established technique for improving the performance of machine learning models. Conventionally, this involves averaging the

researcharxiv-cs-cl

RETO: A Rotary-Enhanced Transformer Operator for High-Fidelity Prediction of Automotive Aerodynamics

model-releasesarxiv-cs-lg

arXiv:2605.00062v1 Announce Type: cross Abstract: Rapid aerodynamic evaluation is crucial for modern vehicle design, yet existing neural operators struggle to capture intricate spatial correlations. W