Study of verbatim memorization during Fill-in-the-Middle (FIM) pretraining on Llama 3.2. FIM recovers more short or partial spans compared to standard LTR, with extraction growing linearly with repetitions. Suffix context is insufficient: memorization remains anchored in prefix context.
arXiv paper proposing a methodology for designing AI benchmarks suited to knowledge work (coding, research, healthcare). Authors critique current evaluations that don't reflect real-world conditions and propose a 3-step framework: define the activity, specify the setting (tools, roles, constraints), score the final product. Analysis of 3 cases: GDPval, OfficeQA Pro, APEX-SWE.
Datasette 1.0a30 introduces a customizable "Jump to..." menu accessible via the `/` key. The new `jump_items_sql()` plugin hook allows plugins to add their own items to the searchable menu.
Datasette-agent 0.1a4 integrates an agent chat interface into the Jump menu (/ key) using the new makeJumpSections() JavaScript hook from Datasette 1.0a30. Enables natural language database queries directly from the UI.
DeepSeek makes its 75% discount on V4-Pro permanent: $0.435 per million input tokens, 11.5× cheaper than GPT-4.5 on input, 34× cheaper on output. This aggressive pricing could squeeze Western providers, especially for agentic systems.
Meituan releases LongCat-Video-Avatar 1.5, an open-source framework for audio-driven human avatar video generation. Upgrades audio encoder from Wav2Vec2 to Whisper-Large, supports Audio-Text-to-Video and Video Continuation with 8-step inference. Human evaluation on 508 image-audio pairs across 6 scenarios and 2 languages.
Nvidia and Hugging Face introduce Nemotron-Labs, diffusion-based language models to accelerate text generation. The approach parallelizes token generation, reducing latency compared to traditional autoregressive methods.
Llama.cpp adds Programmatic Dependent Launch (PDL) support for Nvidia Blackwell GPUs (CC >= 90). PDL improves kernel execution: +5-6% token generation speedup on Qwen 35B and Gemma 26B, no pre-fill gains. Enable with '-D GGML_CUDA_PDL=ON' at build time.
OpenAI generated $5.7 billion in Q1 2026 revenue but lost $1.22 per dollar earned, with an adjusted operating margin of -122%.
SupraLabs releases Supra-50M, a 50M-parameter model trained on 20B tokens of high-quality educational text. Llama-style architecture with 32k vocab. Outperforms GPT-2 (124M) and SmolLM-135M on multiple benchmarks (BLiMP 76.3%, SciQ 77.2%, ARC-Easy 52.2%). Roadmap includes Supra-124M and Supra-350M.
Trump cancels an AI safety executive order after last-minute calls from Musk, Zuckerberg, and Sacks. The order would have established a voluntary review system for frontier models with a 90-day pre-release window.
DeepSeek raises $10.29 billion. Founder Liang Wenfeng commits to continuing open-source AI model development over short-term commercialization. Company targets AGI.
GitHub releases a multi-platform SDK for integrating Copilot Agent into third-party apps and services. Enables developers to access Copilot's AI capabilities through a standardized API.
TimesFM is a pretrained foundation model developed by Google Research for time-series forecasting. The GitHub repository provides an open-source implementation of this specialized model.
Microsoft releases governance toolkit for autonomous AI agents. Includes policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering. Covers all 10 OWASP Agentic Top 10 risks.
FTC requires Cox Media Group and two other firms to pay nearly $1 million to settle charges they deceived customers about an "Active Listening" AI marketing service. The service claimed to listen to conversations via smart devices for ad targeting, but actually used no voice data at all.
FlowLM converts pre-trained diffusion language models into flow matching models via efficient fine-tuning. By realigning curved diffusion trajectories into straight-line flows, FlowLM achieves high-quality few-step text generation rivaling 2,000-step diffusion sampling. Performance saturation reached with half the training epochs compared to training from scratch.
Comparative study of 5 classifiers (logistic regression, random forest, XGBoost, SVM, naive Bayes) for chronic kidney disease risk prediction. All achieve AUROC 1.00 internally (UCI, 400 patients) but collapse on external MIMIC-IV data (AUROC 0.48-0.58). Calibration and conformal coverage severely degraded. No model meets clinical deployment criteria.
Psy-Chronicle is a data-generation framework for synthesizing long-horizon campus psychological counseling dialogues. Authors create CPCD, a Chinese dataset of 90,000 dialogues across 100 student profiles spanning a semester, with a benchmark evaluating long-horizon memory and causal reasoning. Code and data open-sourced.
Faithful-MR1 is a training framework for MLLMs improving multimodal reasoning via reinforcement learning. It anchors visual attention directly on image regions (not via textual descriptions) and reinforces faithful use through counterfactual image intervention. Results on Qwen2.5-VL-Instruct 3B/7B with substantially less training data.
Mahjax is a fully vectorized Riichi Mahjong simulator in JAX for reinforcement learning on GPU. Achieves 2 million steps/sec on 8 NVIDIA A100s (no-red rules) and 1 million (red rules). Demonstrates training agents from scratch without supervised pre-training.
Theoretical study of why critic-free RL methods (PPO, GRPO) improve LLMs. Authors show actor updates are value-gradient-like in expectation, and autodifferentiation through attention produces empirical costates approximating the value signal. Decomposition of RL impact into value-gradient signal and reachable reward headroom.
FlyRoute is a self-evolving agent profiling framework that improves enterprise query routing. Via a data flywheel mechanism, it collects capability evidence from real traffic, distills learned descriptions, and injects them into an LLM router with BM25-retrieved successes. On a proprietary dataset, FlyRoute improves from 72.57% (zero-shot) to 89.83% accuracy after 7,211 labeled queries.
Optimization study for industrial agent pipelines (AssetOpsBench). Proposes temporal semantic cache and MCP optimizations (tool discovery, parallel execution): 1.67x speedup, 40% latency reduction, 30.6x on cache hits. Identifies failure modes of pure semantic caching for parameter-rich queries.
Datasette Agent, a conversational AI assistant for Datasette, has been released. It enables asking questions about data stored in Datasette and generates charts via the datasette-agent-charts plugin. The demo runs on Gemini 3.1 Flash-Lite.
Release of datasette-agent-sprites 0.1a0, a Datasette Agent plugin for running commands in a Fly Sprites sandbox.
Cohere releases Command A+, its most powerful language model to date, as open source under Apache 2.0 license.
Anthropic is approaching its first profitable quarter with projected operating profit of $559 million on $10.9 billion Q2 revenue. Profitability is accelerated by coding tools and agentic Claude usage, which at times exceeded available compute capacity.
SpaceX IPO filing reveals xAI losses of $6.36 billion in 2025, a $15 billion/year Anthropic compute deal, and targets a $2 trillion valuation. Musk retains 85.1% voting power through dual-class shares.
LLM Planner is an interactive guide to match hardware or open-weights models. 60+ build configs, 50+ models, sourced tokens/sec, power draw, multi-region pricing, 150+ reviewer YouTube videos. Bidirectional modes: "which rig for this model/budget" or "what models run on my GPU". Data updated weekly, public GitHub repo.
Google officially announces ads will be integrated into AI Mode search results. This monetization of generative search responses marks a strategic shift for the tech giant amid competition from chatbots.
OpenAI GPT-next solved the 80-year-old Erdős planar unit distance problem for under $1000. Significant result at the intersection of AI and mathematics.
Qwen 3.7 Max from Alibaba is now available on Vercel AI Gateway. The model, designed as an agent foundation, excels at frontend prototyping, multi-file engineering, and office workflow automation through multi-agent orchestration.
M-ORE, an online editor for multimodal LLMs, corrects MLLMs from a continuous stream without degradation. Uses proximal-projection formulation with Sherman-Morrison recursion to avoid cross-modal conflicts and inter-edit interference. Code released.
Theoretical paper on out-of-distribution generalization in RL. Authors extend state abstraction framework to POMDPs and introduce successor-weighted model reduction. They prove smaller abstract state spaces improve generalization to more complex tasks.
LEAP couples a domain-specialized LLM with active learning to discover perovskite precursor additives for solar cell optimization. The model extracts mechanistic knowledge from literature and generates interpretable descriptors integrated into Bayesian optimization. Experimental validation: PCE 20.13–20.87% vs 19.25% control, champion 21.32%.
Kernel Discovery, an LLM-driven evolutionary framework, automates Gaussian kernel design for high-dimensional Bayesian optimization. The method generates novel mathematical forms via LLM, converts them to validated code, and uses LOO-CRPS criterion to penalize overfitting. On 5 benchmarks, it achieves average rank 1.2 out of 17.
Joint training of autonomous vehicle and 12 pedestrians using MARL (MAPPO) in simulation. SDC reaches 78% goal completion with 14% collision rate vs 35%/33% for rule-based baseline. Jaywalkers (13% of crossings) account for 62% of collisions. Co-training reduces collisions by 30% vs single-agent RL.
CP-MoE introduces a continual learning framework for LLMs and VLMs using Mixture-of-Experts architecture. A transient expert captures early task-specific updates and guides their integration into stable experts via consistency-preserving routing bias and regularization. Validated on SuperNI and VQA v2, CP-MoE reduces catastrophic forgetting while preserving cross-task knowledge transfer.
MedicalBench is a benchmark for extracting implicit medical concepts from electronic health records (MIMIC-IV). It formulates the task as verification of note-concept pairs with sentence-level evidence identification. State-of-the-art LLMs show modest performance, highlighting the difficulty of implicit medical reasoning.