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What happened in AI todaySources: OpenAI / Anthropic / DeepMind / Moonshot / arXiv and other public RSS feeds. Updated twice daily at 06:00 / 18:00.
Jul 17, 2026Hugging Face
Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers
↗Jul 17, 2026Hacker News (AI)The state of open source AI
↗Jul 17, 2026Hacker News (AI)Claude Code: Anatomy of a Misfeature
↗Jul 17, 2026OpenAIA scorecard for the AI ageSarah Friar, CFO of OpenAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.
↗Jul 17, 2026arXiv cs.AIIntelligent Three Level Learning Architecture for Autonomous UAV Swarms in Search and RescueThis paper presents a novel three level hierarchical learning architecture for autonomous UAV swarms performing search and rescue operations. Unlike conventional approaches that apply a single learning paradigm across all hierarchy levels, the proposed architecture integrates three qualitatively different learning mec…
↗Jul 17, 2026arXiv cs.AIHG-RAG: Hierarchy-Guided Retrieval-Augmented Generation for Structured Knowledge GraphsRetrieval Augmented Generation (RAG) has proven to be a widely successful process at improving the quality of outputs from a Large Language Model (LLM) for wider context. However, RAG systems typically retrieve context from flat document stores, which struggles when queries require hierarchical or relational reasoning…
↗Jul 17, 2026arXiv cs.AIIMEX Interaction-Based Model ExplanationIn predictive modeling, the ability to explain why a model produces a given target prediction has become increasingly important [5, 10]. Black-box models do not provide a transparent description of the internal mechanisms that generate the prediction, making even accurate predictions difficult to interpret and validat…
↗Jul 17, 2026arXiv cs.AIRegNetAgents: A Multi-Agent Framework for Cross-Network Regulatory Driver Identification in Cancer GenomicsWe introduce RegNetAgents, an AI-oriented multi-agent framework for structured, query-driven regulatory candidate identification across heterogeneous gene regulatory networks. The system enables unified analysis of bulk tumor and single-cell-derived ARACNe networks by integrating TCGA-derived cancer networks with larg…
↗Jul 17, 2026arXiv cs.AIDialogueVPR: Towards Conversational Visual Place RecognitionInspired by how humans communicate spatial information, language-guided geo-localization has gained significant traction for its intuitive and practical value. Despite this progress, most methods still rely on a static, one-shot retrieval paradigm, which fails to handle the ambiguity and incompleteness inherent in rea…
↗Jul 17, 2026arXiv cs.AIInterpretable Language Model for Closed-Loop Type 1 Diabetes ControlType 1 Diabetes (T1D) is a chronic, life-threatening autoimmune condition characterized by the complete destruction of insulin-producing pancreatic beta cells. While Artificial Pancreas Systems (APS) powered by Reinforcement Learning (RL) have shown promise in automating insulin delivery, their ``black-box'' nature ma…
↗Jul 17, 2026arXiv cs.AIHuman AI Construction of Bayesian Networks for Operational Decision Support -- A Virtual Survey ApproachBayesian Belief Networks (BBNs) are powerful tools for decision-making under uncertainty. However, building their structures and estimating parameters are difficult. Currently, researchers must choose between relying on expert judgement or using large datasets to learn the structure and parameters of the network. We p…
↗Jul 17, 2026arXiv cs.AICapability from Access Structure, Not Scale: Lower Bounds and Pre-Registered Tests for Hybrid Sequence ModelsThe Platonic Representation Hypothesis (PRH) holds that as models scale, representations of heterogeneous networks converge toward a shared model of reality. We propose its sequel and boundary, the Capability Convergence Hypothesis (CCH): under a fixed per-token inference budget, representational convergence does not…
↗Jul 16, 2026Hacker News (AI)LM Studio Bionic: the AI agent for open models
↗Jul 16, 2026Hacker News (AI)$100 AI Music Video: Claude Fable 5 vs. GPT-5.6 Sol
↗Jul 16, 2026Hacker News (AI)German AI consortium releases Soofi S, an open 30B model that tops benchmarks
↗Jul 16, 2026Hacker News (AI)Detecting LLM-Generated Texts with “Classical” Machine Learning
↗Jul 16, 2026Hugging FaceNVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval
↗Jul 16, 2026OpenAIWhy teens deserve access to safe AILearn how OpenAI is making ChatGPT safer for teens with age-appropriate protections, learning tools, parental controls, and expert partnerships.
↗Jul 16, 2026Hacker News (AI)How to Train a Gen AI Kick Drum Model on Your Old Linux Desktop with 6GB VRAM
↗Jul 16, 2026Hacker News (AI)Generative AI Is an Engineering Disaster
↗Jul 16, 2026Hacker News (AI)The LLM Critics Are Right. I Use LLMs Anyway
↗Jul 16, 2026Hugging FaceNewer Models, Same Advantage
↗Jul 16, 2026Kimi1.49.0What's Changed fix(kimi): use remaining context for completion budget by @RealKai42 in #2494 fix(kosong): preserve empty-string reasoning_content as ThinkPart by @bigeagle in #2498 fix(kosong): stop sending Kimi reasoning effort implicitly by @RealKai42 in #2499 feat(telemetry): align events with TS schema, add trace_…
↗Jul 16, 2026Kimikosong-0.55.0: chore(release): bump kimi-cli to 1.49.0 and kosong to 0.55.0 (#2503)Co-authored-by: jackfish212 jackfish212@outlook.com
↗Jul 16, 2026Google DeepMindOur approach to bioresilienceGoogle DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.
↗Jul 16, 2026Hacker News (AI)Stop saying that AI is just a tool and it only matters how it is used
↗Jul 16, 2026arXiv cs.AIOriginBlame: Record- and Token-Level Data Provenance for AI Training DatasetsWhen a data contributor requests removal, model trainers face a practical gap: unlearning algorithms require a forget set, yet no tool can locate which training records belong to a given author. Existing provenance systems operate at file or dataset level, forcing catastrophic over-deletion. We present ob, a record- a…
↗Jul 16, 2026arXiv cs.AISPINE: Bridging the Cyber-Physical Gap with Agentic AIFoundation models have given robots a sophisticated brain for complex decision-making, yet deploying that intelligence into a physical platform still demands tedious, expert-driven calibration. This deployment gap, the robot's spinal cord, remains a primary bottleneck to scalable Embodied AI. Hence, we propose SPINE (…
↗Jul 16, 2026arXiv cs.AIInterventional Grounding Audits: Black-Box Premise-Dependency Tests for LLM Chain-of-Thought via Predicate SubstitutionLarge language models produce chain-of-thought (CoT) reasoning that appears logically sound yet may not genuinely depend on its stated premises. We introduce interventional grounding audits, a black-box, step-level test of premise dependency: we intervene on a single premise by substituting its target predicate with a…
↗Jul 16, 2026arXiv cs.AIProbabilistic Extension of Neuro-Symbolic AGI Robots based on Belnap's Typed Intensional FOLNeuro-symbolic AI based on $IFOL_B$ is a way to combine neural learning and symbolic reasoning to overcome limitations of purely neural systems (like lack of interpretability and logical structure) with formal logical machinery for self-reference. In this paper we expand the cognitive power of $IFOL_B$ by using the pr…
↗Jul 16, 2026arXiv cs.AISelf-Improvements in Modern Agentic Systems: A SurveySelf-improving autonomous agents are moving from research prototypes to deployed systems. The primary goal is controllable evolution, or adaptation, from experience with minimal or even no human input. This survey frames modern self-improving agents as adaptive systems that convert experience into accumulated capabili…
↗Jul 16, 2026arXiv cs.AIImproving Molecular Property Prediction in Small Language Models Using Graph-based ToolsSmall language models (SLMs) have shown promise for zero-shot molecular property prediction from SMILES strings, yet they often suffer from structural blindness because sequence representations under-specify key graph-topological cues. We propose a modular Context-Augmented Prompting framework that enables agentic too…
↗Jul 16, 2026arXiv cs.AIOracle Agent Memory as an Enterprise Memory Substrate for Long-Horizon AI AgentsAgent memory is a systems problem for long-horizon agents. Practical deployments require retention of task state across extended conversations, recovery of user-specific facts and preferences across sessions, and accumulation of procedural knowledge from prior outcomes. These requirements extend beyond document retrie…
↗Jul 16, 2026arXiv cs.AILearning Safe Agent Behaviour from Human Preferences and Justifications via World ModelsWe address the problem of safely training an agent policy and deploying a good and safe policy, in settings where the environment dynamics are unknown and no suitable reward function is available. In the context of safety-critical environments, we consider traditional reinforcement learning impractical and resort to t…
↗Jul 16, 2026OpenAIHow Cars24 scales conversations and builds faster with OpenAICars24 uses OpenAI-powered voice and chat agents to handle 1M+ monthly conversation minutes, recover 12% of lost leads, and bring agentic workflows to teams across the company.
↗Jul 16, 2026Hugging FaceSecurity incident disclosure — July 2026
↗Jul 15, 2026Hacker News (AI)LLM Networking with MikroTik
↗Jul 15, 2026Hacker News (AI)We don't use AI in any of our design or production processes
↗Jul 15, 2026Hacker News (AI)Governments, companies, nonprofits should invest in free, open source AI [pdf]
↗Jul 15, 2026Hacker News (AI)Brainless: Shadcn components that look like Claude Code, Codex and Grok
↗Jul 15, 2026Hacker News (AI)Inkling – Open-Weights 975B Parameter LLM
↗Jul 15, 2026Hugging FaceWhat building Shippy taught us about building agents
↗Jul 15, 2026Hugging FaceModel Routing Is Simple. Until It Isn’t.
↗Jul 15, 2026Hacker News (AI)The Three-Second Theft: Why AI Voice Fraud Outruns Every Defence
↗Jul 15, 2026OpenAIThe US is advancing AI safety through state and federal actionOpenAI outlines a “reverse federalism” approach to AI governance, where state laws help build a national framework for safe, democratic AI.
↗Jul 15, 2026OpenAIGPT-Red: Unlocking Self-Improvement for RobustnessExplore GPT-Red, OpenAI’s automated red teaming system that uses self-play to improve AI safety, alignment, and prompt injection robustness.
↗Jul 15, 2026Hacker News (AI)I tricked Claude into leaking your deepest, darkest secrets
↗Jul 15, 2026arXiv cs.AIOptimal Adaptive Market Making: A Theoretical Framework for High-Yield Liquidity Provision in Perpetual Futures MarketsWe develop a rigorous theoretical framework for optimal market making in perpetual futures markets with zero maker fees. We model the market maker's problem as a stochastic optimal control problem on a filtered probability space, where the controls are adaptive bid-ask spreads and inventory hedging decisions across tw…
↗Jul 15, 2026arXiv cs.AIIn-Context Reinforcement Learning under Non-Stationarity: A SurveyThe development of decision-pretrained transformers, algorithm distillation, long-context meta-RL, and retrieval-augmented agents has renewed interest in in-context reinforcement learning (ICRL): the ability of a pretrained or fine-tuned decision model to infer latent task rules and improve future behavior from intera…
↗Jul 15, 2026arXiv cs.AIOntology-Amplified Distillation and Contextuality Auditing for Sovereign Enterprise Language Models: A Combined Proof-of-Mechanism and Negative-Results Method StudyRegulated financial institutions operating under data-residency rules need tenant-owned language models that can run inside the institution's perimeter. This paper combines two related FAOS studies into one mechanism-and-control article. First, it reports a reduced-power proof-of-mechanism study of ontology-amplified…
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