News / #developer-tool Tag Developer Tool 500 articles archived under #developer-tool · RSS Sign in to follow Simon Willison community 1mo ago Quoting Calif Research Today, we're releasing a demo of WeWorm, the first zero-click worm to spread through WeChat calls across iOS and Android. [...] The victim does not need to answer the call, or interact with their phone at all. Even if they do answer, they hear nothing, and the exploit still… 31 r/LocalLLaMA community 1mo ago Solved: LLM inference on Windows was 2–3x slower when the server window wasn't focused The fix: run the server detached/headless instead of keeping it attached to a console window. RTX 5090, ~27B NVFP4 model via ninfer: Terminal focused: 130–200 tok/s Terminal unfocused: 50–60 tok/s Click the terminal → immediately back to 130+ tok/s At first I thought GPU… 17 Hugging Face Daily Papers research 1mo ago NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting Abstract NOAH is a generative transformer that models full multimodal patient journeys with continuous time dynamics and stochastic latent states, enabling forecasting, zero-shot classification, and counterfactual simulation across diverse clinical data. Generated by… 11 r/LocalLLaMA community 1mo ago SOTA ImageGen Locally NVIDIA Cosmos3(64B) INT4 quants CUDA/MLX Cosmos3 INT4 T2I + I2V on Apple Silicon — code, weights and a Grok comparison GitHub - https://github.com/gtrg55/cosmos3-quant-mlx-cuda HF weights - https://huggingface.co/JuliaML/Cosmos3-Super-Text2Image-4Step-INT4-G64-BF16 Single clip took approximately 5m on M4 MAX 128 GB Mac… 26 Hugging Face Daily Papers research 1mo ago SynthGait-19K: A Physically Grounded Synthetic Video Dataset for Gait Parameter Estimation Abstract SynthGait-19k is a large synthetic video dataset for gait analysis that enables benchmarking of video-based gait estimation and shows synthetic supervision transfers to real data. Generated by thinkingmachines/Inkling-Small Accurate estimation of clinically meaningful… 9 Hugging Face Daily Papers research 1mo ago Harnessing CLIP and DINO: An Uncertainty-Aware Cascaded Fusion Network for Generalizable Deepfake Image Detection Abstract UCF-Net improves deepfake detection by fusing CLIP and DINO representations with uncertainty-weighted hierarchical feature aggregation, achieving stronger cross-domain generalization. Generated by thinkingmachines/Inkling-Small The growing realism and accessibility of… 31 Hugging Face Daily Papers research 1mo ago Steering Geometry: Validating Human Value Geometry in LLM Steering Space Abstract Activation steering vectors in large language models encode theory-aligned human value geometry when derived via distribution-driven methods, with geometric fidelity scaling with model size but declining after instruction tuning. Generated by… 7 Vercel — AI dev-tools 1mo ago v0 adds one-click integrations for email, auth, search, and databases We're working toward bringing parity across Vercel integration and v0 , starting with Resend , Amazon OpenSearch , MongoDB Atlas , Algolia and Clerk . Prompt v0 with what you want to build, and when your prompt requires a provider, v0 renders a connect card in the chat. With… 8 Vercel — AI dev-tools 1mo ago You can now read and search changelogs from the CLI You and your agents can now read and search the Vercel changelog feed from your terminal using vercel changelog . Coding agents can use this command to discover new Vercel products and features, find updates relevant to your project, and read full announcements to inform their… 16 Vercel — AI dev-tools 1mo ago Vercel Sandbox routing is now 18x faster globally Requests to Vercel Sandbox public domains are now routed 18x faster. Domains created with the sandbox.domain() SDK call are now resolved from the nearest regional replica, instead of a single centralized store. Incoming requests reach the process running in the sandbox with less… 17 The Information — AI news-outlet 1mo ago White House Declines Senate Democrats’ Request for AI Policy Clarity Attempts by Senate Democrats to get more clarity about the White House’s AI policies have gone nowhere. A White House official responded last Friday to an August letter from a group of Senate Democrats asking for more details about the White House’s voluntary AI testing… 21 Hacker News — AI on Front Page community 1mo ago I've operated petabyte-scale ClickHouse clusters for 5 years Article URL: https://www.tinybird.co/blog/what-i-learned-operating-clickhouse Comments URL: https://news.ycombinator.com/item?id=49601138 Points: 214 # Comments: 78 14 Hugging Face Daily Papers research 1mo ago τ^τ-Bench: An Environment for End-To-End, Realistic Agent Construction Abstract The τ^τ-bench benchmark evaluates coding agents on building real-world customer-service agents from business records, client requirements, and production APIs, revealing substantial gaps versus expert performance. Generated by thinkingmachines/Inkling-Small LLM agents… 10 arXiv — Machine Learning research 1mo ago Nested Inductive Bias Framework for SPD Manifold Learning arXiv:2609.04466v1 Announce Type: new Abstract: In Geometric Deep Learning, inductive biases serve two primary functions: enforcing manifold constraints and embedding relational priors. Currently, representation learning on SPD manifolds frequently relies on pullback Euclidean… 7 arXiv — Machine Learning research 1mo ago Mitra-v2 Technical Report arXiv:2609.04540v1 Announce Type: new Abstract: We introduce Mitra-v2, a tabular foundation model that delivers state-of-the-art performance on real-world classification and regression problems, from credit-risk scoring and clinical prediction to equipment-failure detection and… 9 arXiv — Machine Learning research 1mo ago Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learning arXiv:2609.04763v1 Announce Type: new Abstract: Due to resource constraints or external and internal uncertainties, clients in real-world federated learning systems are often intermittently available edge devices. In highly dynamic environments, the parameter server lacks prior… 37 arXiv — Machine Learning research 1mo ago PACE: Propagation-Aware Collaborative Correction for One-Shot Personalized Federated Graph Learning arXiv:2609.04832v1 Announce Type: new Abstract: Client heterogeneity creates both an opportunity and a risk in personalized federated graph learning. Knowledge held by other subgraphs may complement a receiver's Local model, but an incompatible transfer can override reliable… 18 arXiv — Machine Learning research 1mo ago Client-Side Probing of Deleted Ridge Statistics in Federated Unlearning arXiv:2609.04475v1 Announce Type: cross Abstract: Federated unlearning aims to remove a client's data from a shared model without retraining from scratch. Some efficient systems make deletion exact by storing compact, additive summaries of the training features and broadcasting… 8 arXiv — NLP / Computation & Language research 1mo ago VERGE: Verification-Enhanced Refinement for Grounded Extraction of Early-Onset Colorectal Cancer Symptoms in Clinical Notes arXiv:2609.04366v1 Announce Type: new Abstract: Early-onset colorectal cancer is increasing among younger adults, yet red-flag symptoms in this age group have no evidence-based guidelines for follow-up testing, and structured encounter data do not capture the detail needed to… 17 arXiv — NLP / Computation & Language research 1mo ago PetQA: Benchmarking Veterinary Knowledge and Clinical Reasoning arXiv:2609.04598v1 Announce Type: new Abstract: We introduce PetQA, a Korean long-form question-answering (QA) benchmark for evaluating veterinary knowledge and clinical reasoning in large language models (LLMs) and large vision-language models (LVLMs). PetQA contains 10,076… 5 arXiv — NLP / Computation & Language research 1mo ago MMTClinic: Multimodal, Multilingual Time Series Question Answering and Reasoning Benchmark for Clinical Domain arXiv:2609.04842v1 Announce Type: new Abstract: Time-series data in clinical settings is crucial for capturing dynamic changes in a patient's health over time, enabling timely diagnosis, personalized treatment, and early detection of critical events. However, the development of… 27 arXiv — NLP / Computation & Language research 1mo ago A Structured Debate-Mixture-of-Agents Framework for Complex Clinical Diagnostic Decision Support arXiv:2609.05069v1 Announce Type: new Abstract: Large language models (LLMs) show potential for medical tasks, but their single-turn question-answer format does not reflect how clinical diagnosis is performed in practice. As a result, they remain limited in complex diagnostic… 20 Hugging Face Daily Papers research 1mo ago Group Adaptive Clipping Policy Optimization Abstract GAPO adaptively adjusts importance-sampling clipping thresholds based on rollout advantage to preserve stronger gradient signals from low-success groups in reinforcement learning with verifiable rewards. Generated by thinkingmachines/Inkling-Small Group relative policy… 27 Hugging Face Daily Papers research 1mo ago Iris: Climbing to the Search Frontier Abstract Two large-scale search agents are trained via a multi-stage pipeline combining supervised fine-tuning and reinforcement learning against live search, achieving state-of-the-art open-source results on complex web benchmarks through rigorous trajectory filtering and… 15 Hacker News — AI on Front Page community 1mo ago GrapheneOS Overhauled Default Apps and Secure Clipboard Article URL: https://grapheneos.social/@GrapheneOS/117225539756835649 Comments URL: https://news.ycombinator.com/item?id=49590512 Points: 212 # Comments: 142 17 The Information — AI news-outlet 1mo ago How Anthropic Clinched $517 Billion in Compute Deals in 11 Months Anthropic in the last year has scrambled to line up cloud computing deals with SpaceX, Google and others to meet the skyrocketing demand for Claude Code and Cowork that took the company by surprise this year. As the AI powerhouse gears up for a possible record-setting initial… 19 r/LocalLLaMA community 1mo ago vibeblending locally with Qwen 3.8 27B You need Blender 5.x with MCP extension. I use pi so I also need: pi install npm:pi-mcp-adapter and then: $ cat .mcp.json { "mcpServers": { "blender": { "command": "/home/jacek/.local/bin/uvx", "args": [ "--with", "mcp[cli]<2.0.0", "--from",… 19 r/LocalLLaMA community 1mo ago Qwen3.8-27B beat the Wikipedia game in 6 clicks. Used qwen3.8-27b in Opencode to make this silly mini-game because I'm not sober: ``` We are going to play a game, it will be the Wikipedia game. The Wikipedia game has the following rules: You will have a Wikipedia article set as a starting point. You will have a Wikipedia… 22 r/LocalLLaMA community 1mo ago Chalk one up for the frontier model... I just spent the last 2 hours of my life on a Friday night debugging a strange error in a prod CLI app. EF core was receive a readonlyspan during a Contains query. Normally, this query converted to a WHERE [col] IN (...) , but for some reason, after an update, it started… 9 arXiv — Machine Learning research 1mo ago From Euclidean to Graph-Structured Data: A Survey of Collaborative Learning arXiv:2609.02984v1 Announce Type: new Abstract: The conventional approach to machine learning, that is, collecting data, training models, and performing inference in a single location, faces fundamental limitations, including scalability and privacy, that restrict its… 24 arXiv — Machine Learning research 1mo ago Federated Causal Discovery via Regression-Directed Cumulants arXiv:2609.03705v1 Announce Type: new Abstract: In this paper we study linear non-Gaussian acyclic models (LiNGAM) when used in federated environments. These causal models allow one to go beyond Markov equivalence. However, in many domains data are scarce, and increasing the… 25 arXiv — Machine Learning research 1mo ago Privacy Leakage in Federated Learning: Gradient-Based Client Identity Inference and Defenses for Inertial Sensing in Vehicular Edge Networks arXiv:2609.02971v1 Announce Type: cross Abstract: As vehicular networks move toward 5G/6G edge intelligence, federated learning (FL) is widely promoted as a privacy-preserving way for vehicles and infrastructure to train shared models without exposing raw sensor data. Yet the… 22 arXiv — NLP / Computation & Language research 1mo ago Distilled Rapid Embedding Transfer (DRET): Parameter-Efficient Biomedical Domain Adaptation via Priority-Based Embedding Transfer arXiv:2609.02898v1 Announce Type: new Abstract: Large domain-specific language models such as BioBERT and ClinicalBERT achieve strong performance on biomedical NLP tasks, but their computational demands make them impractical for many real-world deployments. General-purpose,… 14 arXiv — NLP / Computation & Language research 1mo ago Counterfactual Fairness Audits of Multi-Step Clinical LLM Agents Require a Measured Per-Action Instability Floor arXiv:2609.03221v1 Announce Type: new Abstract: Counterfactual audits are the standard tool for checking whether a clinical agent treats demographically distinct but clinically identical patients differently. They report a flip rate: how often an action changes when only the… 24 arXiv — NLP / Computation & Language research 1mo ago Accountable AI with Grounded, Faithful, Consistent, Actionable Rationales: A Case Study in Clinical Trial Matching with VERDICT arXiv:2609.03366v1 Announce Type: new Abstract: Accountability means a decision can be examined, justified, and contested. LLMs make this hard: fluent output may be ungrounded, incomplete, or unfaithful to the decision process. Achieving accountability requires verified… 33 OpenAI Python SDK releases dev-tools 1mo ago v3.8.0 3.8.0 (2026-09-03) Features api: add gpt-6-astra and related features ( #3791 ) ( 09f446f ) Documentation add canonical SDK security model ( #3778 ) ( 2a097b9 ) 4 Hugging Face Daily Papers research 1mo ago CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing Abstract CRISP improves long-context sparse attention by replacing indirect routing proxies with a direct structural metric and using a sink-aware threshold to eliminate background noise, achieving large speedups and better retrieval accuracy. Generated by… 26 arXiv — Machine Learning research 1mo ago CliffRank: A Dual-Branch Framework for Activity-Cliff Ranking Prediction arXiv:2609.01673v1 Announce Type: new Abstract: Activity-cliff ranking remains difficult because local structural changes can cause large activity differences, while high-quality data that resolve the underlying mechanisms remain limited. To use available activity labels more… 29 arXiv — NLP / Computation & Language research 1mo ago CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing arXiv:2609.01925v1 Announce Type: cross Abstract: The attention prefilling phase of long-context LLM inference scales quadratically, making self-attention a severe computational bottleneck. Traditional sparse attention methods mitigate this through fixed patterns or offline… 18 arXiv — Machine Learning research 1mo ago Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts arXiv:2609.02101v1 Announce Type: new Abstract: Federated learning (FL) lets institutions train a shared model without exchanging data, and Low-Rank Adaptation (LoRA) makes this practical at scale by communicating only compact low-rank updates. Biomedical imaging is a compelling… 11 arXiv — Machine Learning research 1mo ago Similarity-Aware Personalized Federated Learning in Heterogeneous Environments arXiv:2609.02241v1 Announce Type: new Abstract: Federated Learning (FL) allows decentralized clients to train models collaboratively while preserving data privacy. However, distribution mismatch across clients often leads to poor global generalization and degraded local… 33 arXiv — Machine Learning research 1mo ago Cliff: Learning Process Rewards from the First Mistake arXiv:2609.02817v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has emerged as a powerful paradigm for large language model (LLM) post-training, but its reliance on coarse outcome rewards leads to limited guidance on intermediate reasoning… 32 arXiv — Machine Learning research 1mo ago Pooling and Drift in Delayed Bandits arXiv:2609.01761v1 Announce Type: cross Abstract: A system often has to act long before it learns whether the act worked: a recommender sees a click in seconds and a purchase in days. With $K$ actions and a delay of $d$ rounds, the best rate known for this setting is… 30 arXiv — NLP / Computation & Language research 1mo ago Interpretable Symptom Vectors for Depression in a Large Language Model arXiv:2609.01832v1 Announce Type: new Abstract: Patients with depression present with diverse symptom profiles, yet clinical practice routinely reduces this variation to a single severity score. Large language models (LLMs) can potentially capture various symptoms and their… 36 arXiv — NLP / Computation & Language research 1mo ago Cite or Decline: A Strict Course-Grounded Chatbot for STEM Lecture Videos arXiv:2609.01846v1 Announce Type: new Abstract: Recorded lecture videos, often enhanced with search and summarization features, are a standard study resource. However, students cannot easily ask course specific questions or verify answers against an instructor's lecture. We… 37 arXiv — NLP / Computation & Language research 1mo ago Improving Health Literacy through Lay Summarization of Radiological Reports: An Evaluation of BioNER and Retrieval-Augmented Generation arXiv:2609.02396v1 Announce Type: new Abstract: Radiology reports are written primarily for clinicians, and their specialized terminology often makes them difficult for patients to interpret. As a result, many patients turn to publicly available Large Language Models (LLMs) to… 26 arXiv — NLP / Computation & Language research 1mo ago Predictors of Loneliness in Older Adults Using Multimodal Analysis of Speech and Language arXiv:2609.02606v1 Announce Type: new Abstract: Loneliness is a critical public health issue among older adults, linked to higher risks of depression, cognitive decline, and mortality. Scalable, objective methods for its detection remain limited, particularly in natural… 23 Hugging Face Daily Papers research 1mo ago Cliff: Learning Process Rewards from the First Mistake Abstract Cliff improves reinforcement learning with verifiable rewards by using an off-the-shelf language model to detect the first reasoning error and shaping token-level advantages accordingly. Generated by thinkingmachines/Inkling-Small Reinforcement learning with verifiable… 23 llama.cpp releases dev-tools 1mo ago b10771 mtmd: add mtmd_tokenize_from_parts() ( #28250 ) add mtmd_tokenize_from_parts use it in mtmd-cli move add_special to call level Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/44860492 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple… 22 The Information — AI news-outlet 1mo ago Exclusive: Nscale Touts $100 Billion-Plus in Contracted Revenue After Anthropic Win Nscale is telling prospective investors it has about $103 billion of total contracted revenue after clinching a $45 billion computing deal with Anthropic, ahead of an initial public offering for the neocloud that could take place as soon as this month, according to documents… 25 Page 7 of 10 · 500 articles ← Newer Older →
