Databricks says a new enterprise data-agent benchmark developed with Turing found that Genie with Genie Ontology achieved 1.6 times the accuracy while using less than half the tokens. The performance figures are reported by Databricks.
A ChinaTalk investigation reported by The Decoder identifies at least nine US data firms selling roughly $500 million in AI training data to Chinese AI labs. Some of the data consists of reinforcement learning environments for tasks such as coding, financial analysis and office work. Buyers reportedly purchase environments previously sold to OpenAI or Anthropic, allowing them to avoid some in-house development costs and wasted training runs. The investigation’s authors called for export controls on dual-use environments, particularly in cybersecurity and biology, while saying Chinese labs still trail US peers by at least several months structurally.
A Fast Company Chinese edition feature, republished by Huxiu AI, profiles the fast-growing white-collar gig workforce that probes frontier models for failures and teaches them to do better. It follows game-theory researcher Lazaros-Antonios Chatzilazarou, recruited by San Francisco AI training startup Mercor via LinkedIn, who now writes prompts, tests how models apply game theory and scores their answers as a side job. Mercor CEO Brendan Foody says the company pays up to $5 million a day to experts on its roster of more than 100,000, and that demand runs three to four times its supply capacity. The piece also covers Surge AI, founded by Edwin Chen in 2020 and bootstrapped past $1 billion in revenue with reported clients including OpenAI, Google, Anthropic and Meta, plus Scale AI's Outlier network, Ethos, Wirestock and Shift; it notes concerns about unpaid assessments and deactivated accounts, and an IMF estimate that generative AI will touch about 40% of jobs globally.
What problem it solves
Coding agents need a consistent way to inspect, control, debug, and verify applications across mobile, web, TV, and desktop targets. They also need repeatable workflows and reviewable evidence across local devices, simulators, CI, and remote device clouds.
Key features
Inspect and control app interfaces — Agents can read accessibility snapshots, act through refs and selector…
What problem it solves
The project provides a structured workflow for market review, risk management, trade planning, journaling, and continuous improvement. It is designed for investors who use long-term investing, ETFs, and dividend stocks as their core, while using disciplined swing trading as a satellite strategy when market conditions are favorable.
Key features
Workflow manifests for routine…
What problem it solves
Developers, researchers, teams, and students need practical examples to understand and evaluate AI agent architectures. The collection organizes production examples, tutorials, and working code by framework and industry to support implementation and learning.
Key features
Runnable agent examples — Each project under agents/ is presented as a self-contained implementation wit…
What problem it solves
3D scans need to be checked against nominal geometry, measured, and understood before they can guide manufacturing or inspection workflows. ScanRuler addresses this with browser-based measurement, deviation analysis, wall-thickness mapping, reverse engineering, and mesh editing while keeping local file processing on the user’s computer.
Key features
Geometric measurement and…
What problem it solves
Game developers need an engine that combines 2D and 3D capabilities with a simple, modular, data-oriented architecture. The project also seeks to support both newcomers and experienced developers through flexible composition and an Entity Component System paradigm.
Key features
Data-oriented architecture — Application logic is organized around a data-oriented architecture us…
What problem it solves
Agent workflows, corrections, debugging patterns, and repository conventions often disappear when a session ends or remain trapped inside one coding tool. Beacon addresses this by capturing session history across harnesses and turning useful findings into reusable memory for future agents.
Key features
Cross-harness session history — Capture session history from Claude Code,…
What problem it solves
People need presence, activity, vital-sign, and environmental information in spaces where cameras or wearable devices are undesirable or impractical. The platform addresses this by capturing WiFi Channel State Information with edge sensors and converting radio disturbances into actionable sensing data.
Key features
Presence and occupancy sensing — Detect people through walls…
What problem it solves
Building Python APIs often requires coordinating request handling, data validation, serialization, editor support, and API documentation. FastAPI addresses these concerns through standard Python type hints, Pydantic models, and automatic OpenAPI-based documentation.
Key features
Type-hint-based API declarations — Declare paths, parameters, and request bodies using standard m…
What problem it solves
Folia is centered on full-screen immersive lyric playback, supporting NetEase Cloud Music, Kugou, QQ Music, Navidrome and local music libraries, with the desktop version also supporting BoDian Music, YouTube Music, Spotify and Soda Music. Local songs need lyrics and cover art, so Folia matches them automatically against online sources or reads same-name lyric files from the …
What problem it solves
Creating an editable product film normally requires capturing product pages, planning motion, animating scenes, synchronizing sound, and checking the final frames. This skill gives Claude Code and Codex a structured workflow that uses real product screenshots and copy to produce an editable MP4 and source project.
Key features
Code-driven product films — The agent builds pro…
What problem it solves
Turning natural-language or image requests into manufacturable 3D models requires structured CAD workflows, engineering documentation, and fabrication checks. The project addresses these tasks by giving agents local workflows for creating, inspecting, exporting, and preparing physical-product designs.
Key features
Script-based 3D model generation — Agents create models as Py…
What problem it solves
Agent sessions often end without preserving the observations and project knowledge needed for continuity. Claude-Mem addresses this by capturing session activity, generating semantic summaries, and making relevant context available in later sessions.
Key features
Automatic session capture — Claude-Mem records tool usage and other session observations through lifecycle hooks …
agent-device• Pinned
