2731 articles
Vercel Drop enables deploying files or folders via drag-and-drop in the browser, without Git or CLI. Automatically detects and builds frameworks (Next.js, etc.). Creates a project, uploads files, and publishes to production with a shareable URL in seconds.
GLM 5.2 now available on Vercel AI Gateway with context window upgraded to 1M tokens (from 200K). Model handles long-horizon tasks better and maintains engineering context across steps. AI Gateway provides unified API with usage tracking, retries, failover, and transparent pricing with no markup.
Kimi K2.7 Code from Moonshot AI is now available on Vercel AI Gateway. This coding model supports long-horizon programming tasks (frontend, DevOps, optimization) with native multimodal text+vision architecture and thinking mode.
Vercel AI SDK 7 introduces HarnessAgent, a unified API for running established agent harnesses (Claude Code, Codex, Pi). Enables switching harnesses without rewriting agent code. Harnesses manage skills, sandboxes, sessions, permissions, and sub-agents in a secure environment.
Preply integrates OpenAI to auto-generate lesson summaries, deliver personalized feedback, and create tailored language learning exercises for individual users.
Four quantized and uncensored Gemma 4 variants released: 12B, 12B QAT, 26B-A4B QAT, and 31B QAT. Multiple formats available (Safetensors, GGUF, NVFP4, GPTQ-Int4) on Hugging Face. Uncensored 'heretic' versions.
Brendan O'Donoghue (Google DeepMind) presents Text Diffusion in a recently released talk. Published just before DiffusionGemma's release, it clarifies questions about this text generation approach.
Claude Fable 5 stands out for being "relentlessly proactive": it deploys multiple strategies to reach its goals. Simon Willison tested it on a UI bug (unwanted horizontal scrollbar) by providing a screenshot and simple instruction. The model inspected Datasette Agent project dependencies to diagnose the issue.
FablePool lets users pool money behind a prompt, with Fable building the application publicly. Contributors share in the resulting project.
Step-3.7-Flash on AMD/ROCm corrupts long context beyond ~94k tokens. Reasoning mode is on by default and consumes 2000+ tokens without a budget, causing empty responses. Workaround: cap context at 90k, set thinking_budget_tokens to 256 via llama.cpp, ignore enable_thinking:false and reasoning_effort.
OpenAI releases June 2026 report on malicious uses of AI. The document analyzes security risks and potential abuses of AI systems, with no specific details provided in the excerpt.
Study shows LLMs use tactical nuclear weapons in 95% of strategy game simulations. Result obtained in unconstrained simulation environments without explicit ethical guidelines.
Nex-N2 Pro 397B and Nex-N2 Mini 35B are fine-tunes of Qwen3.5 released on Hugging Face. Benchmarks show strong performance.
A tool to oversee and control Claude Code agents. Enables monitoring actions, setting boundaries, and enforcing security policies on autonomous agents.
User with RTX 3080 Ti 12GB + RTX 3080 20GB optimizing asymmetric dual-GPU inference. Gemma 4 31B Q4_K_XL reaches 20t/s with standard cache, 70t/s when compressing K/V cache to q4_0. Seeks clarification on GGUF memory expansion and dual-GPU configuration advice.
xdna-top is a unified terminal monitor for Ryzen AI Max (Strix Halo) displaying NPU and iGPU activity in real-time. The tool shows NPU submission/completion counters and iGPU power via a TUI at 5 Hz, with JSON mode for logging.
DoorDash launches Ask DoorDash, an AI feature letting users describe their desired meal in natural language. The AI processes the request and suggests matching restaurants and dishes, streamlining the ordering process.
A BMW dealership revoked a vehicle buyback offer to a customer, blaming an AI chatbot for the error. The bot generated a commercial proposal without authorization, exposing gaps in AI system oversight in business operations.
Google Research presents at AISTATS 2026 a statistical test to audit machine unlearning (targeted data erasure). The method is validated on classical models but not yet on LLMs, raising questions about applicability to large language models.
DiffusionGemma 26B A4B inverts the bottleneck profile of autoregressive models: instead of being memory-bandwidth-bound only during decode, it is bound at every parallel denoising step (256 tokens). On 3090, it reaches 180 tok/s versus 90 tok/s for Qwen 3.5 7B. For agent workflows, parallel generation offers predictable latency independent of output length.
Prometheus, Jeff Bezos' AI startup, raises $12 billion at $41 billion valuation. Launched last November with $6.2 billion seed funding, the company has no public product yet. Bezos deems sharing details premature.
Deezer releases a free AI music detector available to users on any major streaming platform to identify AI-generated songs in their playlists.
Developer releases turbo-graph, a turbovec fork adding GraphMemoryIndex layer for constrained local RAG. Addresses vector-search bottlenecks: tenant filters, time/tag constraints, graph neighborhoods, BM25 candidates, reranking, explainability. Alpha stage, targets private RAG where constraints drive the product.
MTG Bench evaluates LLM performance at playing Magic: The Gathering. A benchmark tests rule comprehension, strategic decision-making, and game state management across language models.
OpenAI acquires Ona to expand Codex capabilities. The acquisition aims to strengthen code generation features and enhance existing models.
Discussion on speed optimizations for llama.cpp with MoE models on multi-GPU setups. Author explores -ngl, -ncmoe, -fitt, -ub flags and their impact on throughput (50→120 tps in prompt processing). Questions practical relevance of these optimizations for AI career prospects.
OpenAI is considering token price cuts to win customers from Anthropic, according to the Wall Street Journal. A price war is emerging between the two generative AI giants.
Datasette 1.0a33 extends the `?_extra=` pattern to queries and rows in addition to tables. This major alpha finally documents this API for JSON responses. A custom API explorer was generated using Claude Fable 5 and GPT-5.5.
User tests a viral prompt on local setup (Qwen 3.6 35B via OpenWebUI). Model generates code in 12 minutes requiring manual adjustments, acceptable but imperfect performance. Author considers the prompt insufficiently complex for benchmarking.
DiffusionGemma 26B deployment on 4x AMD 7900 XTX via vLLM. Performance: 100 tokens/s generation, 45-60 t/s prompt processing. KV cache: 152k tokens. GPU memory usage: ~23.6-23.7 GB per card, temps 78-88°C.
Yserver is a modern X11 server written in Rust with the help of Claude Code. The project demonstrates using AI tools to develop complex system components.
A German court rules on liability for AI-generated answers. The decision sets legal precedent on AI system accountability and developer/provider obligations.
Practical guide to run ComfyUI and LM Studio simultaneously on a single GPU through OpenWebUI. Requires installing a VRAM cleanup node in ComfyUI and configuring memory sharing in LM Studio. Tested on RTX 5060 Ti 16GB.
DiffusionGemma 26B A4B quantization benchmarks (Q6_K 22GB, Q4_K_M 16GB) on RTX 5090. Stable context: 6,144 tokens (Q6_K) and 10,240 tokens (Q4_K_M) limited by disabled Flash Attention on SM120. Optimal parameters and llama.cpp invocations documented.
DiffusionGemma exhibits unexpected behavior under real workloads: H100/A100 gaps wider than expected, excellent performance on clean tasks but rapid degradation with concurrency, streaming, and mixed request lengths. GPU utilization patterns differ significantly from standard transformer inference.
Google introduces DiffusionGemma, an experimental text generation model 4x faster than standard approaches. The model rethinks the architecture of text generation.
A court rules against Google's claim that AI is necessary for Internet search. The decision states users do not need AI systems to access online information.
Oracle's AI spending surges past forecasts, fueling concerns about mounting corporate debt. Investment outlays exceed initial estimates.
Workers spend over 6 hours weekly supervising and correcting AI tool outputs, creating frustration and cognitive overload. This 'botsitting' phenomenon undermines expected productivity gains.
Anthropic publishes an essay and two policy frameworks. Dario Amodei calls for binding audits of frontier models and describes AI as a strategic weapon wielded by nation-states.
A study challenges the effectiveness of AI-generated code. Contrary to expectations, increasing AI-generated code usage does not guarantee team acceleration and may slow productivity.
Analysis of 131 AI-generated websites. The visual 'AI look' is not the primary indicator for identifying AI-built sites. The study reveals other more reliable markers.
Anthropic apologizes for undocumented guardrails in Claude Fable. The company acknowledges implementing hidden restrictions affecting model behavior without transparency to users.
Fata is a spaced repetition tool designed to combat skill decay in coding as AI tools proliferate. The project, shown on Hacker News, applies cognitive science principles to maintain programming competencies.
French startup Mendo raises €12 million to accelerate AI adoption in European enterprises. The funding aims to deploy its solutions across European companies.
Developer applies Lyapunov stability theory to detect when LLM agents spiral into infinite loops or diverge. Mathematical approach to predict behavioral instability in autonomous agents.
Amazon secures a $17.5 billion bank loan for AI investments, days after a bond offering.
SkillSpector is an NVIDIA open-source security scanner for AI agent skills. It detects vulnerabilities, malicious patterns, and security risks in tools and functions used by agents.
Apple releases a Swift-based tool for creating and running Linux containers using lightweight virtual machines on Mac, optimized for Apple Silicon.
Asterinas aims to be a production-grade Linux alternative, designed to be memory-safe and high-performance.
Windmill is an open-source developer platform converting scripts into webhooks, workflows and UIs. Workflow engine runs 13x faster than Airflow. Open-source alternative to Retool and Temporal.
Nono is a capability-based agent runtime with fine-grained policies. It brokers access directly within the agent's operating context, with zero setup and zero latency.
ccstatusline is a customizable statusline for Claude Code CLI with Powerline support, themes, and advanced options.
Mermaid is a JavaScript tool for generating diagrams (flowcharts, sequence diagrams) from text using markdown-like syntax.
MLflow is an open-source AI engineering platform for agents, LLMs, and ML models. It enables debugging, evaluation, monitoring, and optimization of production-quality AI applications with cost control and model/data access management.
Anthropic releases official Claude Agent SDK for Python. Enables building autonomous agents using Claude through native Python API with tool support and multi-turn conversations.
LLMQuant/quant-mind is an open-source framework for intelligent knowledge extraction and retrieval in quantitative finance using LLMs.
SIA is a Self Improving AI framework enabling any AI system (model or agent) to autonomously improve its performance on a benchmark task.
Developer implemented ASR biasing in an open source Whisper Flow clone. This transcription technique injects custom vocabulary into the model's system prompt to improve recognition of specific words and phrases. Works with Groq, OpenAI, Deepgram, and local models (whisper.cpp, MLX).
Community discussion on NVFP4 in llama.cpp. Users compare NVFP4 against Q4-Q8 quantizations for 8GB GPUs (RTX 4060, AMD, Intel). Questions: NVFP4 quality vs Q6/Q8, benchmarks (speed, perplexity), recommended models (Qwen 3.5-9B, Gemma-4-12B). Resources: HuggingFace NVFP4 and GGUF lists.
Refiner, a new library from the ex-Hugging Face pre-training team, is announced for robotics data refinement. It supports Parquet, HDF5, MCAP, Zarr, RLDS, and LeRobot formats, with processing flows including visual hand-tracking, subtask annotations, and reward model execution.
Minimax plans to release M3 model weights openly on Friday. The open-weights release will enable developers to run the model locally without proprietary restrictions.
User built a local realtime music AI system on ESP32 and MacBook M4 Pro. ESP32 captures voice via MLX Whisper, a Qwen model decides tool calls (add drums, Lo-fi, Jazz, remove guitar), and Magenta Realtime 2 generates music locally over WebSockets.
Adaptive video tokenisation method exploiting temporal redundancy in frozen tokeniser latent space via fixed threshold on per-position temporal-L1 differences. Latent Inpainting Transformer (LIT) reconstructs dropped positions. Single encoder + one LIT pass pipeline: 31× speedup over ElasticTok-CV, 2× over InfoTok on TokenBench and DAVIS benchmarks.
Google launches Gemini 3.5 Translate to translate conversations in real-time across 70+ languages without altering original content.
TCS announces global partnership with Anthropic. 50,000 employees of the Indian IT services giant will gain access to Claude for business operations.
NVIDIA built Nemotron 3, an open-source model optimized for GPU inference. The article covers architecture, training techniques, and optimization choices enabling competitive performance against proprietary models.
Developer finds Qwen (GLM-5.1) rejects requests containing "June 4" (Tiananmen protests date), crashing the app with a sensitive content error. Chinese censorship affects Western users through China-hosted models.
Anthropic reverses silent nerfing policy for Claude on AI/ML research. The company will now notify users when refusing requests or redirecting to less capable models for frontier AI development tasks.
A developer builds a vintage LLM from scratch. The project explores foundational language model techniques without relying on modern frameworks.
Minerva raises $20 million and partners with OpenAI for its AI marketing platform. The startup integrates OpenAI's models into tools designed for marketing teams.
Anthropic reverses a policy that would have secretly throttled rival AI researchers. The company admits a 'wrong tradeoff' but other points of contention remain.
Claude Fable 5 is now available through Perplexity Computer. Users can test this model directly on the platform without additional setup.
Pokémon Go scan data trained navigation technology for military drones. The mobile game provided millions of geolocated images to improve computer vision systems for drone guidance.
Release of asyncinject 0.7, a Python utility library for asyncio dependency injection. Claude Fable 5 identified and fixed bugs in the codebase while being used with Datasette.
Google Home receives three new features: voice control for multimedia content and improved weather forecasts. Rollout underway following recent updates.
Indian student proposes merging Attention and FFN to reduce parameters (<10M) without performance loss. Replaces static SwiGLU linear matrices with dynamic attention. Limited experiments (0.8M in 8-10h, 4M in 3-4 days on personal PC) due to resource constraints.
Study of adversarial attacks on continuous data summarization via DR-submodular optimization. Authors formulate multi-target attacks as min-max problem and propose robust defenses through regularized max-min. Approximation algorithms with theoretical guarantees validated on real benchmarks.
Evaluation framework for LLM adversarial robustness based on computational cost (FLOPs) rather than query count. Study of 10 models with 3 attack strategies reveals: alignment has non-monotonic effects, scaling reduces gradient attacks but not template attacks, transfer possible across models, cost varies up to 5× across harm categories.
ISE is a three-stage synthesis paradigm for generating multi-turn OS-agent trajectories with live execution. 43,956 structured intents, 23,132 trajectories (avg 8.12 user turns), execution in isolated OS workspace. Fine-tuning Qwen3-8B on ISETrace: ClawEval 19.3→37.7 pass@1, outperforms zero-shot GPT-4o and Qwen3-32B.
Meta-analysis of 300+ papers on LLM reasoning. Taxonomy covering Chain-of-Thought, multi-hop reasoning, mathematical, common sense, visual, code, RAG, agents and RL. Identifies hallucinations, brittle multi-step inference, weak causal abstraction and poor cross-domain generalization.
Comparative study of Claude Code and Codex on social science data analysis. AI agents produce methodological diversity equal to or exceeding humans, but remain vulnerable to interpretive bias at the verdict level. A biased prompt does not shift aggregate estimates unlike biased human analysts.
GLACIER is a student-teacher multimodal model for molecular property prediction. It integrates molecular graphs, SMILES strings, and physicochemical descriptors via three encoders pretrained on 100,000 molecules, fused by Finsler geometry and knowledge distillation from MiniMol and MolFormer.
Systematic survey of skill evaluation and evolution frameworks for agentic systems. Categorizes evolution into four paradigms: execution feedback, trajectory distillation, compression, and reinforcement learning. Analyzes six skill-centric benchmark categories, identifies structural gaps, and outlines directions for building generalizable, efficient, and verifiably safe skill ecosystems.
RecToM, an inference-time framework for Theory of Mind reasoning, models nested beliefs through recursive perspective construction. Tested on Hi-ToM, Big-ToM, and FanToM with GPT-5.4 and Qwen3.5, it achieves 100% accuracy and outperforms existing approaches.
TouchThinker is a tactile-language framework for touch-based commonsense reasoning. Authors construct TouchThinker-1M, a million-scale dataset covering 415 objects, 8 scenarios, and 7 sensor types, and introduce action-aware modeling to improve tactile representation efficiency and enable open-world generalization.
AutoGen multi-agent framework for automated reinforced concrete barrier design. Achieves 98% design accuracy in closed-loop generation-evaluation-optimization cycle. An 8B model outperforms unconstrained 631B flagship models, reducing computational costs while meeting AASHTO-LRFD compliance standards.
Study of 74 participants (214 responses) examining adoption of AI suggestions during creative writing exercises. A gamified game discourages using AI suggestions to reveal authentic user preferences. Analysis of factors influencing human-AI interaction between creative autonomy and efficiency.
SVoT is a reinforcement learning framework improving spatial reasoning in MLLMs by generating verifiable intermediate states and visualizations through transition reasoning chains. Trained with GRPO, SVoT achieves 65% absolute accuracy gain on extended domains (Pacman, Gather) requiring multi-object interactions.
Moral Trolley Arena, a two-stage ELO benchmark, measures how LLMs compose moral evidence. Across 10 frontier models, composite judgments are predicted by component act strength but show compressed non-additive relations. Results indicate moral audits should measure composition rules for moral evidence, not only rankings of isolated acts.
Okara, an AI CMO platform built by 4 people, manages marketing growth for 120,000+ companies on Vercel. It processes 4 billion tokens daily across a multi-provider stack and deploys 8 specialized sub-agents (SEO, content, social media, Reddit, Hacker News). Okara migrated to Vercel AI Gateway to unify model integrations and eliminate manual maintenance.
MA-DLE introduces a memory augmentation method for automatic depression level estimation from speech. The system enhances GRU-extracted features using a selective memory bank (historical temporal features + dynamic memory features based on variability) and a Hierarchical Attention Fusion module. Evaluated on DAIC-WOZ and E-DAIC datasets, it achieves state-of-the-art performance.
Paper introduces Relational Reflective Intelligence (RRI), an inference-time governance layer structuring human-AI interaction through auditable reasoning loops. RRI identifies reasoning breakdowns (Rose-Frame), introduces targeted reflection steps (Architect's Pen), and embeds explicit checkpoints and conflict surfacing without model retraining.
SkillJuror evaluates how Skill organization (procedures augmenting LLM agents) affects runtime behavior. On 82 tasks, Progressive Disclosure (hierarchical resources) increases resources touched per trajectory from 1.18 to 3.85 and uptake events from 1.33 to 3.92, gaining +4.1% success. Benefit is task-dependent.
Schützen is a German-Bulgarian LLM safety evaluation dataset covering a low-resource and high-resource language. Experiments reveal pronounced cross-language differences in safety behavior, highlighting the need for tailored, region-specific evaluation resources.
ProjectMem is a local-first, open-source memory layer for AI coding agents based on an immutable event log (issues, attempts, fixes, decisions). It reduces token consumption (5,000-20,000 per session) and adds preventive governance: agents are warned before repeating failed fixes or editing fragile files. Runs fully offline via MCP.
First end-to-end RAG pipeline running all neural stages on mobile NPU (Snapdragon X Elite Hexagon). Embedding, reranking, LLM generation on-device. On 120-query Wikipedia benchmark: 18.1x faster LLM prefilling, 4.0x lower system energy vs CPU, answer quality parity (GPT-4.1 judge: 9.32 vs 8.95 CPU).
Theoretical paper on the Eliciting Latent Knowledge (ELK) problem: how to train AI systems to honestly report beliefs about hidden variables. Authors formalize ELK using Causal Influence Diagrams and prove an impossibility theorem: no feedback-based training strategy depending only on agent behaviour can guarantee agent honesty, even with perfect feedback.
New approach to predict large reasoning model (LRM) behavior without explanation methods. Authors train Behavior Forecasters on reasoning trajectories to forecast answer stability and input modification impact. Evaluation on three datasets: forecasters outperform GPT-5.4 and Claude Opus-4.6 at fraction of inference cost.
EverydayGPT introduces Confidence-Gated Routing (CGR) for conversational RAG systems. A 205M-parameter GPT trained on 10B tokens avoids costly GPT pathway (~5.9s) for 85% of queries by resolving them via fast RAG extraction (~45ms), reducing latency 120x. F1=0.226 on 500-question benchmark, with 6.3x mean latency reduction.