TrajGenAgent proposes a hierarchical LLM agent framework for generating realistic synthetic human mobility trajectories without model fine-tuning. It uses a two-stage orchestrator-worker design: an LLM first synthesizes individual- and weekday-conditioned activity chains via in-context learning, then a deterministic workflow grounds each activity into a complete visit using personalized POI retrieval, distance-aware location selection, kinematics-aware travel-time propagation, and LLM-based duration estimation. An anomaly-detection-based evaluation framework assesses behavioral and semantic plausibility. Experiments show improvements in spatiotemporal fidelity, semantic coherence, and individual-specific behavioral realism over existing methods.

This study evaluates lie detectors for large language models by creating 13 reasoning model organisms with verified hidden beliefs and a Varied Deception testbed. Testing four detectors across 31 models reveals positive scaling with capability on prompted lying, but sharp drops on trained organisms except for the chain-of-thought judge. Current detectors cannot support high-confidence claims about model beliefs.

PersonaDrive is a novel pipeline that conditions a vision-language-action (VLA) driving agent on retrieved demonstrations from a style-instructed human driving dataset, enabling diverse driving styles without per-style retraining. It improves driving score by 4.6% over SimLingo and achieves top scores across all styles on Bench2Drive.

Pythagoras-Prover is a compute-efficient family of open-source Lean theorem provers, featuring autoregressive models (4B and 32B) and a diffusion-based prover (4B). It uses curriculum SFT with stratified data and dynamic proof filtering for training efficiency, and introduces Augmented Lean Formalisation (ALF) to expand verified corpora via self-distillation. The 4B model outperforms DeepSeek-Prover-V2-671B on MiniF2F-Test (86.1% vs 82.4%) with ~167x fewer parameters, while the 32B model sets a new open-source SOTA at 93.0% and solves 93 PutnamBench problems.

Traditionally, decision support studies how humans use ML models to make better decisions. In modern agentic systems, AI agents act on behalf of users, reversing roles. This paper proposes a framework to minimize support usage while controlling counterfactual missed-support error. Optimal policy is a threshold rule; online algorithm with adaptive thresholding and calibration-on-the-fly reduces unnecessary support. Experiments show reliable error control and reduced support usage.

Arbor is a multi-agent framework introducing structured tree search as a cognition layer for autonomous agents in large stateful action spaces. Validated on full-stack LLM inference optimization, it achieves up to 193% Pareto improvement in throughput-latency over vendor baselines, with a critic agent ensuring stability.

Researchers propose ToolSense, an open-source diagnostic framework to evaluate how well large language models truly understand tools. It generates three benchmarks to expose a knowledge-retrieval dissociation: models that excel on standard ToolBench benchmarks often collapse by 50-64 percentage points on more realistic queries, sometimes falling below embedding-based baselines.

A local-first AI coding CLI that adapts to you.

Otty is a native, GPU-accelerated terminal for Mac, designed for users who care about every keystroke. It's built to work seamlessly with code agents like Claude Code and Codex, offering features like session recovery, clickable links, and split panes without bloat.

AI agents are evolving from simple chatbots to autonomous digital workers, raising security and governance concerns. Experts advise treating them like human interns with strict oversight, specific instructions, and careful monitoring to prevent unintended actions. Balancing independence with control is essential.

OpenAI Group PBC today announced plans to acquire Ona, a startup with a platform for managing long-running AI agents. The acquisition will enhance OpenAI's Codex AI assistant by enabling it to perform tasks that span hours or days. Ona's cloud sandbox technology allows AI agents to continue running even when developers shut down their workstations, and provides security features such as blocking malicious programs via hashing.

Preply leverages OpenAI to offer AI-generated lesson summaries, personalized feedback, and language exercises, blending technology with human tutoring.

At FinOps X 2026, Datadog's senior FinOps analyst Deeja Cruz emphasized that the core of AI cost management remains understanding usage, reasons, and costs, with good tagging being key to allocating spend and identifying optimization opportunities. She also highlighted the importance of model governance and cross-team collaboration, sharing a concrete example of AI-assisted FinOps.

Simon Willison details how Claude Fable 5 autonomously debugged a CSS scrollbar bug using numerous creative techniques, including writing test pages, injecting JavaScript, and building a CORS server. The session cost ~$12.11 and highlights both the power and danger of unsandboxed coding agents.

As enterprise AI spending accelerates, FinOps AI governance is under stress. Traditional cost optimization levers are insufficient against token-based pricing and opaque billing. 98% of practitioners now manage AI spend, but most lack visibility and governance structures. Automation is essential, and cross-team collaboration is key to understanding cost context.

Israeli data engineering startup Upriver Data Ltd. today announced it has raised $14 million in new funding to automate the data work that enterprises depend on to make artificial intelligence projects succeed. Founded in 2024 by Chief Executive Ido Bronstein and Chief Technology Officer Omri Lifshitz, Upriver has built what it calls an artificial intelligence-native platform that connects to an organization’s full data stack, resolves data quality issues and maintains pipelines automatically. The company pitches the result as a reliable data foundation that AI systems can run on without constant manual upkeep from engineering teams.

Anthropic released Claude Fable 5, but a plan to silently degrade responses for prompts related to frontier LLM development sparked backlash. Critics said it hinders research and trust. Anthropic changed to transparently downgrade users to a weaker model. Even so, Fable 5's safety filters are extremely strict, flagging even basic questions like "What is protein?" The article explains Anthropic's safety filter approach and its evolution.

detectly uses AI to automatically analyze dashcam footage, flag dangerous incidents, and generate risk scores for drivers, eliminating the need for manual review and working with any existing dashcam hardware.

Ultramemory is a free, open-source app that turns your Mac into a private AI memory, indexing emails, Slack, files, and screenshots into a local database for searchable, citation-backed answers without cloud or account.

Mercedes-Benz Korea built a unified semantic layer on Databricks, migrating over 500 KPIs from Power BI to Unity Catalog, leveraging Genie and Agent Bricks to enable consistent semantics for BI and AI. An automated DAX-to-Metric-View transpiler accelerated the migration, providing a reference for other markets.

xAI today released the Grok Build Plugin Marketplace, a built-in catalog of plugins for its terminal coding agent. Plugins bundle skills, commands, agents, hooks, MCP servers, and LSPs into one package, installable without leaving the terminal. Six plugins launch with partners including MongoDB, Vercel, Sentry, Chrome DevTools, Cloudflare, and Superpowers, with commit-SHA pinning for security.

The next wave of enterprise AI focuses on software and data infrastructure needed to make models useful in real businesses. Snowflake is positioning itself as a connector between proprietary data and AI models. Key insights include strong data foundations, security and governance frameworks, and the importance of trusted, governed intelligence for production AI.

Databricks formalizes its Forward Deployed Engineering (FDE) organization to accelerate customer business outcomes with AI, combining the Lakehouse platform with embedded engineering, a global partner network, and direct R&D interlock. The team has worked with over 1,900 customers in the past year, including Fox, JPMC, and Qualcomm, delivering measurable results such as doubled search success rates, massive data migrations, and reduced workflow times from days to minutes.

Elvin is a proactive AI tool that automatically identifies and completes tasks without waiting for user commands, streamlining workflows.

Benchling's Head of AI Nicholas Larus-Stone discusses building agents for life sciences on the Max Agency podcast. He explains their multi-model approach for quality, production trace review processes, and how agents compress workflows to accelerate scientific discovery. Benchling AI launched in October 2025 on top of a 14-year-old data platform.

Prometheus Inc., an AI startup co-led by Jeff Bezos, raised $12 billion in Series B funding at a $41 billion valuation. The company is developing AI tools to accelerate hardware development, focusing on prototyping and pre-production manufacturing. The funds will mainly be used for computing infrastructure.

Chainguard introduces a new source code scanner that detects 'greyware' — open-source packages that are functionally transparent but contain harmful behaviors. The scanner has identified and blocked over 52,000 malicious or greyware packages, highlighting how agentic development exacerbates the problem.

Ship AI agents where your users already work.

LocIn AI launches on Product Hunt as a localization tool that preserves brand voice across languages using tone-aware AI, automated workflows, and developer-first tools. The platform offers CLI integration and API access, aiming to solve the problem of translations that are technically correct but feel off-brand.

Relay turns any website link into an AI phone receptionist that works 24/7, answers only from the business's own facts, and learns from every call with owner approval. It books real appointments on Google Calendar, Square, Calendly, Outlook, and more. The tool reduces setup time from hours to seconds.