All entries

Source-Modality Monitoring in Vision-Language Models

arXiv:2604.22038v1 Announce Type: new Abstract: We define and investigate source-modality monitoring -- the ability of multimodal models to track and communicate the input source from which pieces of

agentsarxiv-cs-cl

Content type

All Blog X Post Paper YouTube Reddit GitHub

Sources detail Microsoft's 'Windows K2', an ongoing initiative to address major Windows 11 user complaints about AI features, OS bloat, performance, and more (Zac Bowden/Windows Central)

DGX agent

Zac Bowden / Windows Central: Sources detail Microsoft's “Windows K2”, an ongoing initiative to address major Windows 11 user complaints about AI features, OS bloat, performance, and more — Microsoft

industrytechmeme

27 Apr 2026

Sources: some UK officials fear Keir Starmer's plan for closer EU ties risks the US-UK alliance, and worry the UK may be forced to adopt the EU's AI regulation (Financial Times)

Financial Times: Sources: some UK officials fear Keir Starmer's plan for closer EU ties risks the US-UK alliance, and worry the UK may be forced to adopt the EU's AI regulation — Officials concerned a

industrytechmeme

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems

model-releasesarxiv-cs-lg

arXiv:2604.22136v1 Announce Type: cross Abstract: Large language model (LLM) agents increasingly issue API calls that mutate real systems, yet many current architectures pass stochastic model outputs

SpaMEM: Benchmarking Dynamic Spatial Reasoning via Perception-Memory Integration in Embodied Environments

model-releasesarxiv-cs-cv

arXiv:2604.22409v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have advanced static visual--spatial reasoning, yet they often fail to preserve long-horizon spatial coherence

Tools

Speech translation in Google Meet is now rolling out to mobile devices

Speech translation in Google Meet is now rolling out to mobile devices I just encountered this feature via a 'try this out now' prompt in a Google Meet meeting. It kind-of worked! This is Google's imp

toolssimon-willison

Spend Less, Fit Better: Budget-Efficient Scaling Law Fitting via Active Experiment Selection

model-releasesarxiv-cs-lg

arXiv:2604.22753v1 Announce Type: new Abstract: Scaling laws are used to plan multi-million-dollar training runs, but fitting those laws can itself cost millions. In modern large-scale workflows, asse

Hardware

SpikingBrain2.0: Brain-Inspired Foundation Models for Efficient Long-Context and Cross-Platform Inference

arXiv:2604.22575v1 Announce Type: new Abstract: Scaling context length is reshaping large-model development, yet full-attention Transformers suffer from prohibitive computation and inference bottlenec

hardwarearxiv-cs-lg

Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations

arXiv:2604.22109v1 Announce Type: cross Abstract: Large language models (LLMs) possess strong persuasive capabilities that outperform humans in head-to-head comparisons. Users report consulting LLMs t

Spotify partners with Peloton to offer Premium subscribers access to curated playlists and 1,400+ ad-free fitness classes, its first foray into fitness content (Bloomberg)

Bloomberg: Spotify partners with Peloton to offer Premium subscribers access to curated playlists and 1,400+ ad-free fitness classes, its first foray into fitness content — Spotify Technology SA is no

industrytechmeme

SS3D: End2End Self-Supervised 3D from Web Videos

arXiv:2604.22686v1 Announce Type: new Abstract: We present SS3D, a web-scale SfM-based self-supervision pretraining pipeline for feed-forward 3D estimation from monocular video. Our model jointly pred

researcharxiv-cs-cv

SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking

arXiv:2604.22438v1 Announce Type: cross Abstract: Watermarking has emerged as a promising technique for tracing the authorship of content generated by large language models (LLMs). Among existing appr

StateX: Enhancing RNN Recall via Post-training State Expansion

arXiv:2509.22630v3 Announce Type: replace-cross Abstract: Recurrent neural networks (RNNs), such as linear attention and state-space models, have gained popularity due to their constant per-token comp

STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation

arXiv:2604.22282v1 Announce Type: new Abstract: Knowledge Graph-based Question Answering (KGQA) plays a pivotal role in complex reasoning tasks but remains constrained by two persistent challenges: th

researcharxiv-cs-cl

Stop blaming the users. It’s not that simple:

Stop blaming the users. It’s not that simple: People keep blaming the users for the growing number of vibe-coded reasoners. Doing so is *half* right. Users *are*screwing up - by letting vibe coded stu

Tutorials

Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction

arXiv:2604.22649v1 Announce Type: cross Abstract: Objective: Decoding visual information from electroencephalography (EEG) is an important problem in neuroscience and brain-computer interface (BCI) re

tutorialsarxiv-cs-cv

Study: Infrasound likely a key factor in alleged hauntings

Recent research found that participants exposed to infrasound reported increased irritation, unease, and elevated stress levels regardless of other conditions. While infrasound appears to be one contr

industryars-technica

Sum-of-Checks: Structured Reasoning for Surgical Safety with Large Vision-Language Models

model-releasesarxiv-cs-cv

arXiv:2604.22156v1 Announce Type: cross Abstract: Purpose: Accurate assessment of the Critical View of Safety (CVS) during laparoscopic cholecystectomy is essential to prevent bile duct injury, a comp

Local Ai

Sunday night: Soju, Seafood Broil with Noodles, and scaffolding my own agents with pi powered by @ollama cloud and @OpenAI models.

This post discusses a developer's weekend project combining soju and seafood broil with noodles while working on building custom AI agents using Ollama's pi-powered infrastructure and OpenAI models. I

local-aiollama--x

'Super ZSNES' is a stab at a modern SNES emulator from the original developers

Super ZSNES is a modern SNES emulator created by two of the original ZSNES developers, zsKnight and _Demo_, which has been rewritten from scratch as a GPU-powered successor. The emulator uses GPU acce

industryars-technica

Superminds Test: Actively Evaluating Collective Intelligence of Agent Society via Probing Agents

arXiv:2604.22452v1 Announce Type: new Abstract: Collective intelligence refers to the ability of a group to achieve outcomes beyond what any individual member can accomplish alone. As large language m

agentsarxiv-cs-ai

Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models

arXiv:2510.11586v2 Announce Type: replace Abstract: Many in-silico simulations of human survey responses with large language models (LLMs) focus on generating closed-ended survey responses, whereas LL

safetyarxiv-cs-cl

Tools

.@swyx on whether AI infrastructure has finally stabilized:

.@swyx on whether AI infrastructure has finally stabilized: Media Always enjoy getting to chat with @swyx on our annual cross-episode with @latentspacepod on the state of AI. We hit on what’s shifted,

toolsswyx--x

System-Mediated Attention Imbalances Make Vision-Language Models Say Yes

arXiv:2601.12430v2 Announce Type: replace Abstract: Vision-language model (VLM) hallucination is commonly linked to imbalanced allocation of attention across input modalities: system, image and text.

safetyarxiv-cs-cl

TabSCM: A practical Framework for Generating Realistic Tabular Data

arXiv:2604.22337v1 Announce Type: new Abstract: Most tabular-data generators match marginal statistics yet ignore causal structure, leading downstream models to learn spurious or unfair patterns. We p

safetyarxiv-cs-lg

Teaching an Agent to Sketch One Part at a Time

arXiv:2603.19500v2 Announce Type: replace Abstract: We develop a method for producing vector sketches one part at a time. To do this, we train a multi-modal language model-based agent using a novel mu

agentsarxiv-cs-ai

Tell Me Why: Designing an Explainable LLM-based Dialogue System for Student Problem Behavior Diagnosis

arXiv:2604.22237v1 Announce Type: cross Abstract: Diagnosing student problem behaviors requires teachers to synthesize multifaceted information, identify behavioral categories, and plan intervention s

Tensor Network Estimation of Distribution Algorithms

arXiv:2412.19780v2 Announce Type: replace Abstract: Tensor networks are a tool first employed in the context of many-body quantum physics that now have a wide range of uses across the computational sc

researcharxiv-cs-lg

Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models

model-releasesarxiv-cs-ai

arXiv:2510.07632v2 Announce Type: replace Abstract: Frontier AI models have achieved remarkable progress, yet recent studies suggest they struggle with compositional reasoning, often performing at or

that said, another tweet by the same user does correctly assess what’s wrong with most user’s model of what LLMs say.

Gary Marcus critiques common misconceptions about how large language models (LLMs) function, suggesting that most users have an incorrect mental model of what LLMs actually do when generating response

That’s what it comes down to

That’s what it comes down to The Musk v. OpenAI trial starts today After all these years of delays, I really hope we finally see justice. No one should be allowed to loot a charity like that and walk

industryelon-musk--x

The 2020 US election was audited on a massive scale. Researchers examined audit results from 856 jurisdictions across 27 states, covering ov…

The 2020 US election was audited on a massive scale. Researchers examined audit results from 856 jurisdictions across 27 states, covering over 71 million votes. The audits found the net error rate in

researchyann-lecun--x

The advantage of having eyes all around

The advantage of having eyes all around FSD v14.3.2 pulled onto the shoulder to avoid a car coming up at full speed that hadn't started its lane change yet, then got back into the lane, and then chang

industryelon-musk--x

The AI agent race will be won by companies that build the right data foundation

The agentic AI boom has an inconvenient truth: Without a solid data foundation, the revolution stops before it starts. Conversations surrounding an emergent agent control plane signal that agentic AI

agentssiliconangle

The AI-designed car is taking shape

The auto design world is full of advanced 3D visualization tools and VR sculpting platforms, but your average new car still enters the world as a sketch. Those sketches traditionally see endless itera

industrythe-verge-ai

the beauty of a jagged frontier is that every failure is the user's fault and every breakthrough is the model's glory

This statement critiques the asymmetrical attribution of outcomes in AI development, where users are blamed for failures while AI models receive credit for successes. Gary Marcus uses the metaphor of

The Biggest Risk of Embodied AI is Governance Lag

arXiv:2604.21938v1 Announce Type: cross Abstract: Embodied AI is widely discussed as a job-displacement problem. The deeper risk, however, is governance lag: the inability of public institutions to ke

safetyarxiv-cs-ai

The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check

arXiv:2601.12979v3 Announce Type: replace Abstract: The pursuit of real-time agentic interaction has driven interest in Diffusion-based Large Language Models (dLLMs) as alternatives to auto-regressive

agentsarxiv-cs-cl

Applications

The conclusions here feel wrong to me. The two lessons I see are: 1. Don't run agents anywhere they might be able to access production envir…

applicationssimon-willison--x

The conclusions here feel wrong to me. The two lessons I see are: 1. Don't run agents anywhere they might be able to access production environment credentials - it's on you to know which credentials t

The DeepSeek V4 garbled output bug in open source inference engine is fixed in SGLang. To everyone affected over the weekend, sorry for the …

The DeepSeek V4 garbled output bug in open source inference engine is fixed in SGLang. To everyone affected over the weekend, sorry for the trouble. Huge thanks to @Ant_Group for landing the fix PR. I

model-releasesollama--x

Tutorials

the difference is that we don’t hype giving 12 year-olds bulldozers. of course it’s a kind of user error when a model destroys all of us…

the difference is that we don’t *hype* giving 12 year-olds bulldozers. *of course* it’s a kind of user error when a model destroys all of user’s data and they didn’t have a backup. that’s the point. v

tutorialsgary-marcus--x

The divorce between Microsoft and OpenAI that I projected three years ago is now underway. Time for everyone to start seeing other people.

The divorce between Microsoft and OpenAI that I projected three years ago is now underway. Time for everyone to start seeing other people. OpenAI is moving away from its exclusive Microsoft arrangemen

The Download: DeepSeek’s latest AI breakthrough, and the race to build world models

model-releasesmit-tech-review

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Three reasons why DeepSeek’s new model matters On Friday, Chin

The EU AI Act is the first comprehensive regulation for AI systems, and it’s right around the corner. With the clock running down, we took a…

The EU AI Act is the first comprehensive regulation for AI systems, and it’s right around the corner. With the clock running down, we took a deeper look at what these requirements mean for your agents

safetyharrison-chase--x

The EU unveils new proposals under the DMA aimed at opening up Android to rivals' AI services; Google says the measures are 'unwarranted intervention' (Samuel Stolton/Bloomberg)

Samuel Stolton / Bloomberg: The EU unveils new proposals under the DMA aimed at opening up Android to rivals' AI services; Google says the measures are “unwarranted intervention” — Google was targeted

industrytechmeme

The Exact Replica Threshold for Nonlinear Moments of Quantum States

arXiv:2604.22627v1 Announce Type: cross Abstract: Joint measurements on multiple copies of a quantum state provide access to nonlinear observables such as operatorname{tr}(rho^t), but whether replica

researcharxiv-cs-lg

The greatest con of the decade was calling autocomplete “AI”. The second greatest is calling autocomplete-in-a-loop an “agent”.

Gary Marcus critiques the marketing of large language model autocomplete systems as 'artificial intelligence,' arguing this terminology misrepresents their actual capabilities. He extends this critici

agentsgary-marcus--x

The latest from the LangChain team. https://www.langchain.com/blog/april-2026-langchain-newsletter

The April 2026 LangChain newsletter from Harrison Chase covers the latest updates, developments, and announcements from the LangChain team regarding their language model framework and tools. The newsl

agentsharrison-chase--x