The Archive

Perplexity has expanded its agentic Personal Computer tool to Windows, allowing computers running the world's most popular OS to be used as a locally run AI system. Like the Mac version that Perplexity launched in April, Personal Computer for Windows operates like a "general-purpose digital worker" that can access local files and apps to perform actions on your behalf, such as creating documents and updating spreadsheets. This launch builds on Personal Computer integrations that Perplexity launched for Microsoft's 365 workspace apps and Teams virtual meeting software in May. Personal Computer...

Survey of instruction-based image editing spanning task taxonomy, training data methods, and architectural evolution from GAN to diffusion/autoregressive models.

OmniPhys benchmark (1,551 samples) diagnoses physical commonsense violations in text-to-image models via knowledge graphs and addresses gradient hallucination in prompt optimization.

F(AI)2R extends AI provenance tracking to executable agent skills via aiprov (PROV-O extension), enabling auditable AI contributions in research artifacts.

Study uses spectral dataset properties (entropy, rank, autocorrelation) as empirical priors to guide 1D-CNN architecture design for NIR chemometrics across 25 regression tasks.

AIriskEval-edu audits pedagogical risks in AI-generated explanations across five dimensions (factual accuracy, depth, bias, relevance, student-appropriateness) with evidence spans.

Construction-Driven Injection embeds linguistically-grounded code-mixing fingerprints in LLMs to create verifiable ownership signals resistant to accidental activation and perplexity filtering.

Human-in-the-loop corpus simplifies scientific paper summaries via GPT-4o-mini with iterative refinement by non-specialist STEM readers for cross-disciplinary accessibility.

Joint text-audio alignment method decodes Chinese speech from EEG into text, addressing high-dimensional output space and low SNR for non-invasive neural interfaces.

Theoretical analysis of positive quadratic networks studies quotient structure effects on training dynamics and implicit bias via Riemannian geometry on PSD manifolds.

Over the last few months, I've spent a lot of time talking to my computer. One underrated feature of the LLM revolution has been a remarkable leap in all kinds of dictation technology - even the fastest, cheapest models are getting very good at understanding and processing speech. I've tested lots of these apps, from WisprFlow to Monologue to Spokenly to Handy to so many others, and have found them all to be useful ways to quickly write emails, Slack messages, and more. They sometimes default to giving everything a too-formal style of formatting and love ending a text message with a period (l...

Philosophical critique of epistemic risks in LLM outputs challenges the 'Epistemia' framework by invoking semiotic and situated-knowledge perspectives.

MemSFT mitigates alignment tax by decoupling domain specialization via plug-and-play parametric memory that imitates retriever behavior, preserving general-task performance.

ReDAM and Unified-weather-edit methods align multi-sensor weather simulations for autonomous vehicle perception in adverse conditions.

Contrastive GNN framework learns disease trajectory embeddings from temporal clinical graphs using structure-aware random walks.

Physics-informed broad learning system (PI-BLS) solves PDEs via backpropagation-free broad RdNNs with embedded differential operators.

Set-theoretic algorithm formalizes al-Sabr wa al-Taqsim method for extracting legal causes in Islamic jurisprudence from truth tables.

BeyondUncertainty uses LLM confidence estimates to route retrieval for knowledge-intensive QA, reducing irrelevant evidence and computation.

Density-matrix framework analyzes electronic structure in lithium-metal electrolytes; ML models proposed to reduce quantum-chemical computation.

PILA decouples LLM-native advertising as lightweight sidecar response rewriting, avoiding entanglement with content generation.

Forensic reproducibility audit of chest-radiograph VLM benchmark reveals prompt-binding and metadata misalignment across artifacts.

Controlled ablation of LoRA rank, target modules, and quantization on T5-small for text-to-SQL quantifies efficiency-accuracy trade-offs.

Montreal Forced Aligner evaluated on Hindi-English code-mixed speech; bootstrapping lexicons reduce boundary-detection error 10× vs monolingual.

Lee, an engineer at Samsung’s semiconductor division, clocks out when his shift ends. He used to work longer hours, going the extra mile to excel at his projects. But lately, he’s been coming straight home to work on his job application for the chipmaker’s South Korean rival SK Hynix, sharing tips with his coworkers on…

Hugging Face isn’t doing much to prevent the AI models it hosts from spitting out sexualized deepfakes. | Image: Cath Virginia / The Verge | Photos from Getty Images Hugging Face is being used to make nonconsensual deepfakes, and the popular open-source AI model repository is doing very little to prevent it. That's according to a new report published by the European nonprofit AI Forensics, which found that seven out of the top nine image editing models hosted by Hugging Face readily complied with requests to undress women using simple prompts. While most mainstream generative AI models like G...

Kimi K3 open-weights model released amid broader industry discussion on open model availability and strategy.

Cursor says India is now its third-largest market globally and plans to expand local hiring and enterprise sales.

Anthropic founder and CEO Dario Amodei made his views clear about open-weight models and China's growing AI capabilities.

Cohere publishes explainer on agentic AI definitions, applications, and enterprise deployment considerations.

Moonshot releases Kimi K3 weights (2.8T params, 1.56TB) with modified MIT license requiring attribution for products >100M MAU.