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We were honored to welcome His Royal Highness Crown Prince Al Hussein bin Abdullah II and Her Royal Highness Princess Rajwa Al Hussein to Replit in Silicon Valley. It was a privilege to share how AI i

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What is Vector Search?

DGX agent

Vector search is a retrieval method that converts unstructured data (text, images, audio) into numerical vector representations and finds similar items by comparing vectors in high-dimensional space,

industrydatabricks

23 Jun 2026

When Confidence Lacks Concepts: Interpretable OOD Detection via Representation Perturbations

arXiv:2606.16196v2 Announce Type: replace-cross Abstract: Deep neural networks have achieved remarkable performance across medical imaging tasks, yet their tendency to overgeneralize under distributio

Industry

With Starfall, SpaceX eyes an edge in global cargo delivery from orbit

Starfall is a proposed reentry vehicle designed by SpaceX to provide uncrewed, point-to-point cargo delivery from orbit by safely returning payloads to Earth. The design focuses on precision delivery

industryars-technica

You can try it out on your own images here (~1.3GB model download in your browser) https://simonw.github.io/moebius-web/

This post highlights an interactive web-based demo of the Moebius model, which users can test directly in their browser with approximately 1.3GB of model data downloaded locally. The tool appears to b

toolssimon-willison--x

A mirror facing a mirror creates the illusion of depth. A prediction machine directed towards itself creates the illusion of direction.

researchfrancois-chollet--x

Chollet draws an analogy between visual recursion and self-referential AI systems, suggesting that just as mirrors facing each other create a false sense of infinite depth, a prediction machine analyz

Hardware

Enable Real-Time AI for High-Speed Data Acquisition with DAQIRI

DAQIRI (Data Acquisition for Integrated Real-time Instruments) is a high-performance networking library that streams data from fast detectors . DAQIRI keeps up by handling the stream as it arrives , e

hardwarenvidia-developer

Explore next-gen quantum algorithms with IBM Quantum Credits

IBM Quantum Credits is a program that provides researchers and developers with access to IBM's quantum computing systems to explore and develop advanced quantum algorithms. The initiative enables user

researchibm-research

GLM-5.2 is the step change for open agents

GLM-5.2 represents a significant advancement in open-source AI agent capabilities, marking a notable improvement over previous versions in terms of performance and functionality. The article from Inte

researchinterconnects

Hardware

HPE and Kamiwaza rethink AI infrastructure for the inference era

As AI factories evolve into “data centers of the future,” the infrastructure stack must also transform into a mix of CPU and GPU platforms that can deliver a full set of AI computing solutions. This r

hardwaresiliconangle

Nvidia introduces Halos for Robotics to bridge the physical AI safety gap

Nivida Corp. today announced Halos for Robotics, the industry’s first full framework for robotic safety systems that encompasses building, testing and managing complete artificial intelligence robotic

safetysiliconangle

Sakana Fugu Ultra now available on AI Gateway

Sakana Fugu Ultra, a new AI model, is now available through Vercel's AI Gateway, expanding the selection of models developers can access via the platform. This addition allows users to integrate Sakan

toolsvercel-blog

Unpacking sandbox startup latency: why started ≠ ready

This article examines the gap between when a sandbox container reports as 'started' versus when it's actually ready to handle requests, exploring the technical reasons for latency during startup on Mo

toolsmodal-blog

Vercel Flags: Platform-native feature flags

Vercel Flags is a platform-native feature flagging system integrated directly into Vercel's deployment platform, enabling developers to control feature rollouts and perform A/B testing without externa

toolsvercel-blog

WebSocket support is now in Public Beta

Vercel announced that WebSocket support has entered public beta, enabling developers to use WebSocket connections on the Vercel platform. This feature allows for real-time, bidirectional communication

toolsvercel-blog

yes in case you missed it we are doing 'poaster' sessions at AIE for the first time ever no papers, no posters. only poasters. we are lookin…

yes in case you missed it we are doing 'poaster' sessions at AIE for the first time ever no papers, no posters. only poasters. we are looking for people who physically print out their hottest takes an

toolsswyx--x

Flesh-eating maggots.

Flesh-eating maggots, scientifically known as larvae of blow flies and flesh flies, are used in medical settings for debridement therapy to treat infected or necrotic wounds by consuming dead tissue w

safetygary-marcus--x

Local Ai

GLM-5.2 is really, really good.

GLM-5.2 is a language model that has garnered positive reception, likely referring to improvements in performance, capabilities, or user experience compared to previous versions. The post appears to b

local-aiollama--x

In the meantime, for parsing human-native documents, check out LlamaParse: https://cloud.llamaindex.ai/

LlamaParse is a document parsing tool from LlamaIndex designed to extract and process data from human-readable documents with high accuracy. The tool is available as a cloud service and represents Lla

agentsjerry-liu--x

Two days. One playground. Countless things built. That was Vibecon. Thank you, New York, for proving that code is the new creative medium.

Vibecon was a two-day event held in New York where participants used Replit's coding platform to build projects in a playground-style environment, demonstrating code as a creative medium. The event br

toolsreplit--x

also hearing from other customers that GLM 5.2 approaches GPT 5.5 on their evals + use cases

Fireworks AI reports that GLM 5.2, their language model, demonstrates performance comparable to GPT 5.5 across various evaluation benchmarks and real-world use cases. This claim suggests GLM 5.2 is co

toolsfireworks-ai--x

19 Jun 2026

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling

arXiv:2606.11446v1 Announce Type: new Abstract: This research introduces a framework for incorporating Concept Bottleneck Models (CBMs) into 3D generative architectures to address the inherent 'semant

A Comprehensive Ecosystem for Open-Domain Customized Video Generation

model-releasesarxiv-cs-cv

arXiv:2606.11783v1 Announce Type: new Abstract: Recent progress in video generation has shown impressive visual synthesis capabilities. However, open-domain customized video generation remains limited

A PubMed-Scale Dataset of Structured Biomedical Abstracts

model-releasesarxiv-cs-cl

arXiv:2606.11361v1 Announce Type: cross Abstract: Structured abstracts are important for biomedical literature processing, by facilitating information retrieval, text mining, and knowledge synthesis.

A Resource for Enthymeme Detection in Controversial Political Discourse

arXiv:2606.12186v1 Announce Type: new Abstract: Enthymemes, arguments with unstated premises or conclusions, are pervasive in persuasive discourse, yet their annotation remains notoriously subjective.

researcharxiv-cs-cl

Adapting Vision-Language Models from Iconic to Inclusive for Multi-Label Recognition Without Labels

arXiv:2606.11626v1 Announce Type: new Abstract: Understanding multi-label images remains a challenging task in computer vision. With the rapid progress of vision-language multimodal learning, vision-l

Adaptive Multi-Resolution Procedural Knowledge Compression for Large Language Models

model-releasesarxiv-cs-cl

arXiv:2606.12203v1 Announce Type: new Abstract: Large language models (LLMs) are widely used to tackle complex tasks with autonomous workflows. Recently, reusable natural language skills have emerged

Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained Inverse Problems

arXiv:2606.12337v1 Announce Type: cross Abstract: Inverse problems governed by partial differential equations (PDEs) are central to computational mechanics and are commonly solved by adjoint-based opt

AerialClaw: An Open-Source Framework for LLM-Driven Autonomous Aerial Agents

arXiv:2606.12142v1 Announce Type: cross Abstract: Unmanned aerial vehicles (UAVs) are increasingly used in inspection, search and rescue, environmental monitoring, and emergency response. However, mos

Agent Skill Evaluation and Evolution: Frameworks and Benchmarks

model-releasesarxiv-cs-cl

arXiv:2606.11435v1 Announce Type: new Abstract: The growth of agent skills has transformed how agentic systems are built, evaluated, and deployed. As skill libraries continue to scale, rigorous evalua

AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory

arXiv:2602.02285v2 Announce Type: replace-cross Abstract: We present the first comprehensive Lean 4 formalization of statistical learning theory (SLT) grounded in empirical process theory. Our en-to-e

researcharxiv-cs-cl

Analytic Bijections for Smooth and Interpretable Normalizing Flows

arXiv:2601.10774v2 Announce Type: replace Abstract: A key challenge in normalizing flows is finding expressive invertible scalar bijections. Existing approaches face trade-offs: affine transformations

Bergson: An Open Source Library for Data Attribution

arXiv:2606.11660v1 Announce Type: new Abstract: Data attribution is a promising field in interpretability that aims to explain model behavior through the influence of its training data, with applicati

Calibrating Decision Robustness via Inverse Conformal Risk Control

arXiv:2510.07750v3 Announce Type: replace-cross Abstract: Robust optimization safeguards decisions against uncertainty by optimizing against worst-case scenarios, yet their effectiveness hinges on a p

Deterministic Policy Gradient for Learning Equilibrium in Time-Inconsistent Control Problems

arXiv:2606.11798v1 Announce Type: cross Abstract: In this paper, we develop a continuous-time model-free reinforcement learning algorithm to learn deterministic equilibrium policies in general time-in

safetyarxiv-cs-lg

Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems

arXiv:2606.11471v1 Announce Type: cross Abstract: The expansion of the digital domain has resulted in a substantial increase in digital communication, with email emerging as one of the most prominent

Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA

arXiv:2603.08501v3 Announce Type: replace Abstract: Large language models (LLMs) can answer religious knowledge queries fluently, yet they often hallucinate and misattribute sources, which is especial

agentsarxiv-cs-cl

Feature extraction for plant growth estimation

arXiv:2606.11966v1 Announce Type: new Abstract: Precision agriculture requires the estimation of plant growth stages in real-time. When the plant growth stage is known, the wastage of resources in cul

agentsarxiv-cs-cv

Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions

arXiv:2509.10303v2 Announce Type: replace-cross Abstract: Online reinforcement learning (RL) approaches have demonstrated strong performance on Job Shop Scheduling (JSP) and Flexible JSP (FJSP) proble

safetyarxiv-cs-ai

Geometric Metrics and LLMs: What They Measure and When They Work

arXiv:2509.25359v2 Announce Type: replace-cross Abstract: We present a systematic stress-test of geometric metrics for LLM evaluation. Rank-based geometric properties of internal representations have

researcharxiv-cs-ai

Grounding Computer Use Agents on Human Demonstrations

model-releasesarxiv-cs-ai

arXiv:2511.07332v2 Announce Type: replace-cross Abstract: Building reliable computer-use agents requires grounding: accurately connecting natural language instructions to the correct on-screen element

Higher order PCA-like rotation-invariant features for detailed shape descriptors modulo rotation

arXiv:2601.03326v2 Announce Type: replace Abstract: PCA can be used for rotation invariant features, describing a shape with its p_{ab}=E[(x_i-E[x_a])(x_b-E[x_b])] covariance matrix approximating shap

researcharxiv-cs-cv

Higher-Order Token Interactions via Quantum Attention

model-releasesarxiv-cs-lg

arXiv:2606.11673v1 Announce Type: cross Abstract: Standard dot-product self-attention computes, in a single layer, only pairwise (order-2) interactions between tokens; representing a generic order-k i

How an astrophysicist uses Codex to help simulate black holes

An astrophysicist leverages OpenAI's Codex AI model to accelerate the development of code for simulating black hole physics and behavior. Codex assists in generating complex scientific code more effic

model-releasesopenai

Tutorials

Information-Theoretic Decomposition for Multimodal Interaction Learning

arXiv:2606.11614v1 Announce Type: cross Abstract: Multimodal learning hinges on capturing redundant, unique, and synergistic information across modalities, which collectively constitute multimodal int

tutorialsarxiv-cs-ai

Learning Ordinal Response Policies in Rank-Based Stochastic Prize-Collecting Games

model-releasesarxiv-cs-ro

arXiv:2510.24515v2 Announce Type: replace Abstract: The Team Orienteering Problem (TOP) generalizes many real-world multi-agent scheduling and routing tasks that occur in autonomous mobility, aerial l

LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems

arXiv:2606.11560v1 Announce Type: cross Abstract: Large Language Models (LLMs) have advanced rapidly, but their limitations in structured and multi-hop reasoning underscore the need for graph-native,

agentsarxiv-cs-ai

MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios

model-releasesarxiv-cs-ai

arXiv:2602.22638v2 Announce Type: replace Abstract: Route-planning agents powered by large language models (LLMs) have emerged as a promising paradigm for supporting everyday human mobility through na