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Simplex rethinks software development with Codex

Simplex is an OpenAI initiative that reimagines software development processes by integrating Codex, OpenAI's AI code generation model, to enhance developer productivity and streamline coding workflow

applicationsopenai

Simultaneous CNN Approximation on Manifolds with Applications to Boundary Value Problems

DGX agent

arXiv:2605.04126v1 Announce Type: new Abstract: This paper develops convolutional neural network (CNN) methods for simultaneous approximation and elliptic boundary value problems on compact Riemannian

researcharxiv-cs-lg

7 May 2026

Single-Position Intervention Fails: Distributed Output Templates Drive In-Context Learning

arXiv:2605.04061v1 Announce Type: cross Abstract: Understanding how large language models encode task identity from few-shot demonstrations is a central open problem in mechanistic interpretability. P

SkCC: Portable and Secure Skill Compilation for Cross-Framework LLM Agents

arXiv:2605.03353v1 Announce Type: cross Abstract: LLM-Agents have evolved into autonomous systems for complex task execution, with the SKILL.md specification emerging as a de facto standard for encaps

Skill Neologisms: Towards Skill-based Continual Learning

model-releasesarxiv-cs-lg

arXiv:2605.04970v1 Announce Type: new Abstract: Modern LLMs show mastery over an ever-growing range of skills, as well as the ability to compose them flexibly. However, extending model capabilities to

SlotVLA: Towards Modeling of Object-Relation Representations in Robotic Manipulation

model-releasesarxiv-cs-cv

arXiv:2511.06754v3 Announce Type: replace-cross Abstract: Inspired by how humans reason over discrete objects and their relationships, we explore whether compact object-centric and object-relation rep

Smart Passive Acoustic Monitoring: Embedding a Classifier on AudioMoth Microcontroller

arXiv:2605.03412v1 Announce Type: cross Abstract: Passive Acoustic Monitoring (PAM) is an efficient and non-invasive method for surveying ecosystems at a reduced cost. Typically, autonomous recorders

agentsarxiv-cs-ai

So Mythos was, indeed, not marketing hype. Remember this is a general purpose model that just happens to be good at finding exploits because…

applicationsethan-mollick--x

So Mythos was, indeed, not marketing hype. Remember this is a general purpose model that just happens to be good at finding exploits because good models are good at lots of things. Expect similar from

Safety

Software Engineering for Self-Adaptive Robotics: A Research Agenda

arXiv:2505.19629v3 Announce Type: replace-cross Abstract: Self-adaptive robotic systems operate autonomously in dynamic and uncertain environments, requiring robust real-time monitoring and adaptive b

safetyarxiv-cs-ro

Something old, something new, something borrowed, something blue: Thoughts from Arvind Krishna’s keynote at IBM Think

At this year’s IBM Think, Chief Executive Arvind Krishna’s keynote focused on artificial intelligence’s impact on the modern enterprise. Instead of the usual tour through features and roadmaps, his ta

applicationssiliconangle

Tools

Sounds like the ChatGPT upgrade is coming soon though

Simon Willison notes on X that a ChatGPT upgrade appears to be coming soon, though specific details about the upgrade's features or timeline are not provided in this post. The post likely references r

toolssimon-willison--x

Sources: AirPods with cameras reached an advanced testing stage; the cameras will feed data to Siri to help answer questions, rather than take photos or video (Mark Gurman/Bloomberg)

Mark Gurman / Bloomberg: Sources: AirPods with cameras reached an advanced testing stage; the cameras will feed data to Siri to help answer questions, rather than take photos or video — Apple Inc. has

industrytechmeme

Sources: OpenAI and Broadcom discuss terms for Broadcom to finance initial custom chip production for ~$18B, conditioned on Microsoft buying ~40% of the chips (Anissa Gardizy/The Information)

Anissa Gardizy / The Information: Sources: OpenAI and Broadcom discuss terms for Broadcom to finance initial custom chip production for ~$18B, conditioned on Microsoft buying ~40% of the chips — When

applicationstechmeme

Sources: Ramp told investors it is raising 750M co-led by Iconiq Capital and GIC at a valuation of 40B+ before the investment, up from $32B in November 2025 (Kate Clark/Wall Street Journal)

Kate Clark / Wall Street Journal: Sources: Ramp told investors it is raising 750M co-led by Iconiq Capital and GIC at a valuation of 40B+ before the investment, up from $32B in November 2025 — The fin

industrytechmeme

SpaceX has a $55 billion plan to build AI chips in Texas

Elon Musk's plans to get into the AI chip manufacturing business are going to be costly. As the New York Times and CNBC report, SpaceX is planning to invest at least $55 billion into its 'Terafab' chi

applicationsthe-verge-ai

Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality Prediction

arXiv:2605.04072v1 Announce Type: cross Abstract: Sparse autoencoders (SAEs) have been applied to large language models and protein language models, but not systematically to electronic health record

Safety

Sparse Tokens Suffice: Jailbreaking Audio Language Models via Token-Aware Gradient Optimization

arXiv:2605.04700v1 Announce Type: cross Abstract: Jailbreak attacks on audio language models (ALMs) optimize audio perturbations to elicit unsafe generations, and they typically update the entire wave

safetyarxiv-cs-cl

Sparsity is Combinatorial Depth: Quantifying MoE Expressivity via Tropical Geometry

arXiv:2602.03204v2 Announce Type: replace Abstract: While Mixture-of-Experts (MoE) architectures define the state-of-the-art, their theoretical success is often attributed to heuristic efficiency rath

researcharxiv-cs-lg

SpecPL: Disentangling Spectral Granularity for Prompt Learning

arXiv:2605.04504v1 Announce Type: cross Abstract: Existing prompt learning for VLMs exhibits a modality asymmetry, predominantly optimizing text tokens while still relying on frozen visual encoder as

SPHERE: Mitigating the Loss of Spectral Plasticity in Mixture-of-Experts for Deep Reinforcement Learning

arXiv:2605.04712v1 Announce Type: new Abstract: In deep reinforcement learning (DRL), an agent is trained from a stream of experience. In a continual learning setting, such agents can suffer from plas

agentsarxiv-cs-lg

Spotify launches Save to Spotify, a command-line tool that allows AI agents to upload AI-generated audio summaries and personal podcasts to a user's account (Terrence O'Brien/The Verge)

Terrence O'Brien / The Verge: Spotify launches Save to Spotify, a command-line tool that allows AI agents to upload AI-generated audio summaries and personal podcasts to a user's account — A new comma

model-releasestechmeme

Local Ai

Stabilizing LLM Supervised Fine-Tuning via Explicit Distributional Control

arXiv:2605.04468v1 Announce Type: cross Abstract: Post-training large language models (LLMs) often suffers from catastrophic forgetting, where improvements on a target objective degrade previously acq

local-aiarxiv-cs-cl

Stable Agentic Control: Tool-Mediated LLM Architecture for Autonomous Cyber Defense

arXiv:2605.03034v1 Announce Type: new Abstract: Agentic systems involved in high-stake decision-making under adversarial pressure need formal guarantees not offered by existing approaches. Motivated b

StableI2I: Spotting Unintended Changes in Image-to-Image Transition

model-releasesarxiv-cs-cv

arXiv:2605.04453v1 Announce Type: new Abstract: In most real-world image-to-image (I2I) scenarios, existing evaluations primarily focus on instruction following and the perceptual quality or aesthetic

Stage Light is Sequence^2: Multi-Light Control via Imitation Learning

arXiv:2605.03660v1 Announce Type: cross Abstract: Music-inspired Automatic Stage Lighting Control (ASLC) has gained increasing attention in recent years due to the substantial time and financial costs

🔥🔥🔥 Starship Static Fire 🔥🔥🔥

Elon Musk shared a post about Starship's static fire test, which is a ground-based engine test where the vehicle's engines are ignited while the rocket remains secured to the launch pad. This test is

industryelon-musk--x

Stop Automating Peer Review Without Rigorous Evaluation

arXiv:2605.03202v1 Announce Type: new Abstract: Large language models offer a tempting solution to address the peer review crisis. This position paper argues that today's AI systems should not be used

researcharxiv-cs-ai

Stopped by the @huggingface Paris office during GOSIM. Lowkey for the open-source AI leader — hidden in the city center. People writing code…

Stopped by the @huggingface Paris office during GOSIM. Lowkey for the open-source AI leader — hidden in the city center. People writing code wherever they feel like sitting. 🤗 keeps shipping the best

industryclem-delangue--x

Storage Is Not Memory: A Retrieval-Centered Architecture for Agent Recall

arXiv:2605.04897v1 Announce Type: new Abstract: Extraction at ingestion is the wrong primitive for agent memory: content discarded before the query is known cannot be recovered at retrieval time. We p

Stories like this is why we built E2B. Watching @genspark_ai go from zero to $250M ARR in 12 months on our infrastructure is one of the best…

Stories like this is why we built E2B. Watching @genspark_ai go from zero to 250M ARR in 12 months on our infrastructure is one of the best feelings in this job. Their Super Agent does deep research,

agentsyohei-nakajima--x

StoryAlign: Evaluating and Training Reward Models for Story Generation

arXiv:2605.04831v1 Announce Type: new Abstract: Story generation aims to automatically produce coherent, structured, and engaging narratives. Although large language models (LLMs) have significantly a

Tutorials

Stream-T1: Test-Time Scaling for Streaming Video Generation

arXiv:2605.04461v1 Announce Type: new Abstract: While Test-Time Scaling (TTS) offers a promising direction to enhance video generation without the surging costs of training, current test-time video ge

tutorialsarxiv-cs-cv

Safety

Structural Equivalence and Learning Dynamics in Delayed MARL

arXiv:2605.04345v1 Announce Type: new Abstract: We formally establish the equivalence between Observation Delay (OD) and Action Delay (AD) in cooperative partially observable multi-agent systems using

safetyarxiv-cs-lg

Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion

arXiv:2605.04412v1 Announce Type: new Abstract: 3D asset generation plays a pivotal role in fields such as gaming and virtual reality, enabling the rapid synthesis of high-fidelity 3D objects from a s

researcharxiv-cs-cv

Local Ai

Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search

arXiv:2605.04057v1 Announce Type: new Abstract: This paper focuses on a key challenge in Neural Architecture Search (NAS): integrating established architectural knowledge while exploring new designs u

local-aiarxiv-cs-lg

Superposition Is Not Necessary: A Mechanistic Interpretability Analysis of Transformer Representations for Time Series Forecasting

arXiv:2605.05151v1 Announce Type: new Abstract: Transformer architectures have been widely adopted for time series forecasting, yet whether the representational mechanisms that make them powerful in N

researcharxiv-cs-lg

Tutorials

SV-GS: Sparse View 4D Reconstruction with Skeleton-Driven Gaussian Splatting

arXiv:2601.00285v2 Announce Type: replace Abstract: Reconstructing a dynamic target moving over a large area is challenging. Standard approaches for dynamic object reconstruction require dense coverag

tutorialsarxiv-cs-cv

SWAN: Semantic Watermarking with Abstract Meaning Representation

arXiv:2605.04305v1 Announce Type: new Abstract: We introduce SWAN (Semantic Watermarking with Abstract Meaning Representation), a novel framework that embeds watermark signatures into the semantic str

SWE 1.6 Fast is available in Devin for Terminal. http://devin.ai/terminal

Cognition AI announced that SWE 1.6 Fast, an upgraded version of their software engineering model, is now available for use in Devin's Terminal interface. This update likely provides faster performanc

agentscognition-ai--x

SymptomAI: Towards a Conversational AI Agent for Everyday Symptom Assessment

arXiv:2605.04012v1 Announce Type: new Abstract: Language models excel at diagnostic assessments on currated medical case-studies and vignettes, performing on par with, or better than, clinical profess

agentsarxiv-cs-ai

Syn4D: A Multiview Synthetic 4D Dataset

arXiv:2605.05207v1 Announce Type: new Abstract: Dense 3D reconstruction and tracking of dynamic scenes from monocular video remains an important open challenge in computer vision. Progress in this are

researcharxiv-cs-cv

Syntax- and Compilation-Preserving Evasion of LLM Vulnerability Detectors

model-releasesarxiv-cs-lg

arXiv:2602.00305v2 Announce Type: replace-cross Abstract: LLM-based vulnerability detectors are increasingly deployed in CI/CD security gating, yet their resilience to evasion under syntax- and compil

TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding

arXiv:2605.04962v1 Announce Type: new Abstract: Foundation models have established unified representations for natural language processing, yet this paradigm remains largely unexplored for tabular dat

Tailored Prompts, Targeted Protection: Vulnerability-Specific LLM Analysis for Smart Contracts

arXiv:2605.03697v1 Announce Type: cross Abstract: Smart contracts on blockchains are prone to diverse security vulnerabilities that can lead to significant financial losses due to their immutable natu

applicationsarxiv-cs-ai

TajikNLP: An Open-Source Toolkit for Comprehensive Text Processing of Tajik (Cyrillic Script)

arXiv:2605.04583v1 Announce Type: new Abstract: The Tajik language, written in Cyrillic script, remains severely under-resourced in terms of publicly available natural language processing (NLP) toolki

researcharxiv-cs-cl

Talked to @ramplabs Head of Applied Research Alex Shevchenko on the Max Agency podcast to learn how @Ramp Sheets was built, their internal a…

Talked to @ramplabs Head of Applied Research Alex Shevchenko on the Max Agency podcast to learn how @Ramp Sheets was built, their internal agent Inspect, and so much more. YouTube: https://www.youtube

agentsharrison-chase--x

Taming Outlier Tokens in Diffusion Transformers

arXiv:2605.05206v1 Announce Type: new Abstract: We study outlier tokens in Diffusion Transformers (DiTs) for image generation. Prior work has shown that Vision Transformers (ViTs) can produce a small

researcharxiv-cs-cv

TCM-Serve: Modality-aware Scheduling for Multimodal Large Language Model Inference

arXiv:2603.26498v2 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) power platforms like ChatGPT, Gemini, and Copilot, enabling richer interactions with text, images, an