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Earlier sources: Artificial Intelligence
Artificial intelligence covers systems that learn from data, generate content, perceive their surroundings, or act toward a goal. Follow model research, agent tooling, evaluation, and the infrastructure used to build and run these systems.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗6044 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- Hacker News · Posted on Hacker News · First archived
Slowly, then all at once: AI agents that know how a company works ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Hotel Lobby AI Video Generator – Two Photos to Rap Duet ↗
Hacker News discussion.
- arXiv · Published · First archived
HexVIO: Towards All-Day Stereo-Inertial Tracking Through Commodity DSPs ↗
The ability of a device to localize itself within its surroundings is a fundamental prerequisite for spatial computing. Visual-inertial odometry (VIO) has proven to be a cost-effective and accurate solution for this task. Robots, wearables, XR devices, and drones can benefit significantly from efficient implementations of VIO since they allow for cooler, lighter, and cheaper devices with longer battery life and a better user experience. In this work, we propose to enhance the efficiency of a VIO system by leveraging the Hexagon DSP, a commodity co-processor present in many modern smartphones a…
- Hacker News · Posted on Hacker News · First archived
Robot Hands for Modern AI and Real Work ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Spens sandboxed, observable coding agents ↗
Spens is a tool created to standardized sandboxing (good enough) and observability around coding agents. It leverages docker, nono and mitmproxy to create a reproducible sandbox environment for agents, that captures all traffic and helps you understand what your coding agent is doing and when. Right now pi, opencode, claude and codex are supported out of the box, with node and python - but you can configure any agent or environment. It was create…
- arXiv · Published · First archived
DexJoCo-X: Benchmarking Action Representations for Multi-Hand Dexterous Manipulation ↗
As dexterous hands proliferate, collecting data and training policies separately for every morphology becomes increasingly impractical. Scalable cross-embodiment learning therefore requires a unified representation that captures shared manipulation structure while preserving morphology-specific control. Differences in hands, tasks, datasets, and control interfaces prevent existing studies from isolating the effects of representation, pretraining, and architecture. We introduce DexJoCo-X, a benchmark and toolkit for controlled comparison across seven representative dexterous hands, six single-a…
- Hacker News · Posted on Hacker News · First archived
GPT-6 Astra plays World of Warcraft for the first time with agent-wow ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Nvidia DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI ↗
Hacker News discussion.
- arXiv · Published · First archived
Moving Forward with Video Saliency: A New Dataset and Benchmark where Motion Matters ↗
Video saliency prediction is inherently harder to model than static image saliency due to the additional temporal dimension. Video saliency benchmarks rest on the premise that predicting gaze on video requires utilizing temporal activity distributed across frames. Prior work has challenged this, showing that static baselines recover a significant fraction of the explainable gaze information on LEDOV, a popular video saliency dataset, and that video saliency models fail in the same places as this static baseline. We verify that this diagnosis still stands: under a more capable gold standard tha…
- arXiv · Published · First archived
EVOL: Simulator-Guided Evolutionary Expert Synthesis for Deployment-Free Learning Path Recommendation ↗
Reinforcement learning (RL) for learning path recommendation (LPR) faces two coupled obstacles. First, the policy must commit to a sequence of L concepts without intermediate feedback, producing a combinatorial search space that grows super-exponentially with L and provides reward only at the final step. Second, expert learning paths would be the natural cure for sparse-reward RL, but they do not exist in educational data, because student logs record what learners did, not what they should have done. We address both obstacles by importing a recipe from simulator-based demonstration learning in…
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How to assess evidence about Artificial Intelligence
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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