Search: “agents”

Sorry for the long wait, everyone! As I said, Qwen is going to keep open-sourcing!

model-releasesclem-delangue--x

Sorry for the long wait, everyone! As I said, Qwen is going to keep open-sourcing! ⚡ Meet Qwen3.6-35B-A3B：Now Open-Source！🚀🚀 A sparse MoE model, 35B total params, 3B active. Apache 2.0 license. 🔥 Agen

16 Apr 2026

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Tutorials

this makes sense all else held equal, concentrated fund = less risky bets we've found that 36 companies is the max number of companies we ca…

DGX agent

this makes sense all else held equal, concentrated fund = less risky bets we've found that 36 companies is the max number of companies we can fit into a fund while claiming that a single company at 1B

tutorialsyohei-nakajima--x

16 Apr 2026

TIP: Token Importance in On-Policy Distillation

model-releasesarxiv-cs-lg

arXiv:2604.14084v1 Announce Type: new Abstract: On-policy knowledge distillation (OPD) trains a student on its own rollouts under token-level supervision from a teacher. Not all token positions matter

16 Apr 2026

Tools

With 4.7 you can push a lot further with one prompt. That means multi-file changes, ambiguous debugging, code review across a whole service.…

With 4.7 you can push a lot further with one prompt. That means multi-file changes, ambiguous debugging, code review across a whole service. The stuff you used to break into small chunks because the m

toolsboris-cherny--x

16 Apr 2026

A Sanity Check on Composed Image Retrieval

arXiv:2604.12904v1 Announce Type: new Abstract: Composed Image Retrieval (CIR) aims to retrieve a target image based on a query composed of a reference image, and a relative caption that specifies the

Tutorials

Accelerating decode-heavy LLM inference with speculative decoding on AWS Trainium and vLLM

Speculative decoding is a technique used to accelerate the slow, sequential token generation (decode stage) in LLM inference. This method significantly reduces latency and improves hardware utilizatio

tutorialsaws-ml-blog

Analysis: nearly 90 schools and 600 students globally have been impacted by AI-generated deepfake nudes; North America had nearly 30 reported cases since 2023 (Matt Burgess/Wired)

Matt Burgess / Wired: Analysis: nearly 90 schools and 600 students globally have been impacted by AI-generated deepfake nudes; North America had nearly 30 reported cases since 2023 — An analysis by WI

industrytechmeme

Been waiting a month for Anthropic to answer a simple usage question about Claude Code subscriptions Have I been ghosted

model-releasesjeremy-howard--x

Been waiting a month for Anthropic to answer a simple usage question about Claude Code subscriptions Have I been ghosted Can I get some questions answered by someone at Anthropic? 1. Can you use an OA

Boston Dynamics’ robot dog now reads gauges and thermometers with Google's AI

Boston Dynamics has integrated Google's Gemini and Gemini Robotics-ER 1.6 into its Orbit software platform, specifically its AI Visual Inspection systems, which analyze images captured by the Spot rob

industryars-technica

Cal.com, which provides scheduling software, is moving its core open-source codebase to a closed repository, citing the dangers of AI hacking its open code (Steven Vaughan-Nichols/ZDNET)

Steven Vaughan-Nichols / ZDNET: Cal.com, which provides scheduling software, is moving its core open-source codebase to a closed repository, citing the dangers of AI hacking its open code — ZDNET's ke

industrytechmeme

Deep QP Safety Filter: Model-free Learning for Reachability-based Safety Filter

arXiv:2601.21297v2 Announce Type: replace Abstract: We introduce Deep QP Safety Filter, a fully data-driven safety layer for black-box dynamical systems. Our method learns a Quadratic-Program (QP) saf

safetyarxiv-cs-ro

DeepMind launches Gemini Robotics-ER 1.6 to meet precise physical AI demands

model-releasessiliconangle

Google DeepMind, Alphabet Inc.’s artificial intelligence research division, Tuesday introduced a new foundation robotics AI model designed as a significant upgrade for understanding and precise spatia

Document OCR benchmarks are still an open problem Existing document OCR benchmarks are either too narrowly focused on a specific type (e.g. …

model-releasesjerry-liu--x

Document OCR benchmarks are still an open problem Existing document OCR benchmarks are either too narrowly focused on a specific type (e.g. FinTabNet, ChartQA), or on documents that aren’t reflective

Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Perception Programs

arXiv:2604.12896v1 Announce Type: new Abstract: Multimodal language models (MLLMs) are increasingly paired with vision tools (e.g., depth, flow, correspondence) to enhance visual reasoning. However, d

Dress-ED: Instruction-Guided Editing for Virtual Try-On and Try-Off

arXiv:2603.22607v2 Announce Type: replace Abstract: Recent advances in Virtual Try-On (VTON) and Virtual Try-Off (VTOFF) have greatly improved photo-realistic fashion synthesis and garment reconstruct

European VC funding in Q1 2026 rose nearly 30% YoY to $17.6B, AI claimed over 50% of all European funding for the quarter, and deal volume dropped 40% YoY (Gené Teare/Crunchbase News)

Gené Teare / Crunchbase News: European VC funding in Q1 2026 rose nearly 30% YoY to 17.6B, AI claimed over 50% of all European funding for the quarter, and deal volume dropped 40% YoY — European ventu

industrytechmeme

Research

Free Random Projection for In-Context Reinforcement Learning

arXiv:2504.06983v3 Announce Type: replace Abstract: Hierarchical inductive biases are hypothesized to promote generalizable policies in reinforcement learning, as demonstrated by explicit hyperbolic l

researcharxiv-cs-lg

Goal-Conditioned Neural ODEs with Guaranteed Safety and Stability for Learning-Based All-Pairs Motion Planning

arXiv:2604.02821v2 Announce Type: replace Abstract: This paper presents a learning-based approach for all-pairs motion planning, where the initial and goal states are allowed to be arbitrary points in

safetyarxiv-cs-ro

Applications

GrowthLoop targets real-time, causal decisioning with AI-infused marketing platform

Customer data platform maker GrowthLoop Inc. today introduced a composable artificial intelligence analytics platform designed to help better understand the causal drivers of customer behavior. The Ne

applicationssiliconangle

Guide to prompting Gemini 3.1 Flash TTS (text-to-speech)

model-releasesgoogle-cloud-ai

Today, Gemini 3.1 Flash TTS, our latest text-to-speech model, is available on Google AI Studio and Vertex AI. It delivers precise controllability and expressivity, empowering developers and enterprise

Human-Centric Topic Modeling with Goal-Prompted Contrastive Learning and Optimal Transport

arXiv:2604.12663v1 Announce Type: new Abstract: Existing topic modeling methods, from LDA to recent neural and LLM-based approaches, which focus mainly on statistical coherence, often produce redundan

Research

Human-Inspired Context-Selective Multimodal Memory for Social Robots

arXiv:2604.12081v1 Announce Type: new Abstract: Memory is fundamental to social interaction, enabling humans to recall meaningful past experiences and adapt their behavior accordingly based on the con

researcharxiv-cs-ai

INFORM-CT: INtegrating LLMs and VLMs FOR Incidental Findings Management in Abdominal CT

model-releasesarxiv-cs-ai

arXiv:2512.14732v2 Announce Type: replace-cross Abstract: Incidental findings in CT scans, though often benign, can have significant clinical implications and should be reported following established

InsightFlow: LLM-Driven Synthesis of Patient Narratives for Mental Health into Causal Models

arXiv:2604.12721v1 Announce Type: new Abstract: Clinical case formulation organizes patient symptoms and psychosocial factors into causal models, often using the 5P framework. However, constructing su

safetyarxiv-cs-cl

KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning

model-releasesarxiv-cs-ai

arXiv:2603.21440v4 Announce Type: replace-cross Abstract: Large Language Models (LLMs) demonstrate impressive natural language capabilities but often struggle with knowledge-intensive reasoning tasks.

Applications

Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models

arXiv:2604.12185v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) enhances large language models by grounding outputs in retrieved knowledge. However, existing RAG methods including

applicationsarxiv-cs-cl

LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL Queries

arXiv:2601.10398v3 Announce Type: replace Abstract: In LLM-based text-to-SQL systems, unanswerable and underspecified user queries may generate not only incorrect text but also executable programs tha

Tutorials

LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning

arXiv:2509.16615v2 Announce Type: replace Abstract: Reinforcement learning (RL) is a promising approach for robotic manipulation, but it can suffer from low sample efficiency and requires extensive ex

tutorialsarxiv-cs-ro

Parasail raises $32M for its pay-per-token inference cloud

Artificial intelligence infrastructure startup Parasail Inc. today announced that it has raised 32 million in early-stage funding. Touring Capital and Kindred Ventures jointly led the Series A round.

industrysiliconangle

Tools

@pumfleet @calcom Did you see this piece by @dbreunig? He argues that the cost of locking down software through LLM analysis makes open sour…

@pumfleet @calcom Did you see this piece by @dbreunig? He argues that the cost of locking down software through LLM analysis makes open source MORE valuable now: https://www.dbreunig.com/2026/04/14/cy

toolssimon-willison--x

Hardware

Q&A with Jensen Huang on Nvidia's supply chain moat, competition from ASICs like Google's TPU, investing in AI labs and neoclouds, selling to China, and more (Dwarkesh Patel/Dwarkesh Podcast)

Dwarkesh Patel / Dwarkesh Podcast: Q&A with Jensen Huang on Nvidia's supply chain moat, competition from ASICs like Google's TPU, investing in AI labs and neoclouds, selling to China, and more — “If o

hardwaretechmeme

Relaxing Anchor-Frame Dominance for Mitigating Hallucinations in Video Large Language Models

arXiv:2604.12582v1 Announce Type: new Abstract: Recent Video Large Language Models (Video-LLMs) have demonstrated strong capability in video understanding, yet they still suffer from hallucinations. E

safetyarxiv-cs-cv

SAM3-I: Segment Anything with Instructions

arXiv:2512.04585v3 Announce Type: replace Abstract: Segment Anything Model 3 (SAM3) advances open-vocabulary segmentation through promptable concept segmentation, enabling users to segment all instanc

safetyarxiv-cs-cv

Simulation as Supervision: Mechanistic Pretraining for Scientific Discovery

arXiv:2507.08977v4 Announce Type: replace-cross Abstract: Scientific modeling faces a tradeoff between the interpretability of mechanistic theory and the predictive power of machine learning. While ex

SIRI-Bench: Challenging VLMs' Spatial Intelligence through Complex Reasoning Tasks

arXiv:2506.14512v4 Announce Type: replace Abstract: Large Language Models (LLMs) have undergone rapid progress, largely attributed to reinforcement learning on complex reasoning tasks. In contrast, wh

Research

Speaker effects in language comprehension: An integrative model of language and speaker processing

arXiv:2412.07238v3 Announce Type: replace Abstract: The identity of a speaker influences language comprehension through modulating perception and expectation. This review explores speaker effects and

researcharxiv-cs-cl

The dashboard is dead, but what comes next requires a lot more than just faster AI

AI-driven decision-making has arrived, putting a focus on trusted data and strong governance so outputs stay reliable at scale. The shift is rewriting the relationship between people and data. Instead

industrysiliconangle

WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question Answering

model-releasesarxiv-cs-cl

arXiv:2604.05818v2 Announce Type: replace-cross Abstract: Multi-modal Retrieval-Augmented Generation (RAG) has emerged as a highly effective paradigm for Knowledge-Based Visual Question Answering (KB-

3D Multi-View Stylization with Pose-Free Correspondences Matching for Robust 3D Geometry Preservation

arXiv:2604.09639v1 Announce Type: new Abstract: Artistic style transfer is well studied for images and videos, but extending it to multi-view 3D scenes remains difficult because stylization can disrup

safetyarxiv-cs-cv

A Mamba-Based Multimodal Network for Multiscale Blast-Induced Rapid Structural Damage Assessment

arXiv:2604.11709v1 Announce Type: new Abstract: Accurate and rapid structural damage assessment (SDA) is crucial for post-disaster management, helping responders prioritise resources, plan rescues, an

A mathematical theory of evolution for self-designing AIs

arXiv:2604.05142v2 Announce Type: replace Abstract: As artificial intelligence systems (AIs) become increasingly produced by recursive self-improvement, a form of evolution may emerge, with the traits

A Proposed Biomedical Data Policy Framework to Reduce Fragmentation, Improve Quality, and Incentivize Sharing in Indian Healthcare in the era of Artificial Intelligence and Digital Health

arXiv:2604.11125v1 Announce Type: new Abstract: India generates vast biomedical data through postgraduate research, government hospital services and audits, government schemes, private hospitals and t

AI Integrity: A New Paradigm for Verifiable AI Governance

arXiv:2604.11065v1 Announce Type: new Abstract: AI systems increasingly shape high-stakes decisions in healthcare, law, defense, and education, yet existing governance paradigms -- AI Ethics, AI Safet

Local Ai

Ambiguity Detection and Elimination in Automated Executable Process Modeling

arXiv:2604.10884v1 Announce Type: cross Abstract: Automated generation of executable Business Process Model and Notation (BPMN) models from natural-language specifications is increasingly enabled by l

local-aiarxiv-cs-ai

AttnTrace: Contextual Attribution of Prompt Injection and Knowledge Corruption

model-releasesarxiv-cs-cl

arXiv:2508.03793v2 Announce Type: replace Abstract: Long-context large language models (LLMs), such as Gemini-2.5-Pro and Claude-Sonnet-4, are increasingly used to empower advanced AI systems, includi

AWARE: Adaptive Whole-body Active Rotating Control for Enhanced LiDAR-Inertial Odometry under Human-in-the-Loop Interaction

arXiv:2604.10598v1 Announce Type: new Abstract: Human-in-the-loop (HITL) UAV operation is essential in complex and safety-critical aerial surveying environments, where human operators provide navigati

safetyarxiv-cs-ro

AWS launches Amazon Bio Discovery, an AI-powered application designed to speed up drug development, giving scientists access to biological foundation models (Reuters)

Reuters: AWS launches Amazon Bio Discovery, an AI-powered application designed to speed up drug development, giving scientists access to biological foundation models — Amazon's (AMZN.O) cloud unit on

model-releasestechmeme

Benchmarking Vision-Language Models under Contradictory Virtual Content Attacks in Augmented Reality

arXiv:2604.05510v2 Announce Type: replace Abstract: Augmented reality (AR) has rapidly expanded over the past decade. As AR becomes increasingly integrated into daily life, its security and reliabilit