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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 ↗5640 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.
- arXiv · Published · First archived
ViSkill: Reinforcing VLM Agents with Evolving Visual-Native Skills ↗
Skill-augmented agents improve sample efficiency by distilling successful trajectories into reusable strategies. Yet most existing approaches remain text-centric, linearizing spatial layouts and action-state correspondences into language that loses critical geometric structure. Recent efforts have begun incorporating visual evidence, but construct and update skills separately from policy optimization, leaving their mutual improvement underexplored. We propose ViSkill, a visual-native skill learning framework that encodes successful interactions as composite visual skill cards directly accessib…
- arXiv · Published · First archived
SpaceCast-Bench: Evaluating Predictive Spatial Reasoning in Vision-Language Models ↗
Existing spatial reasoning benchmarks mainly test spatial perception: reading off relations already visible in the input. Yet real-world spatial intelligence demands predictive spatial reasoning: constructing a scene from observations, anticipating how an intervention changes it, and reasoning about the unseen outcome. We introduce SpaceCast-Bench, the first benchmark to directly and diagnostically evaluate this capability. Built around an observe-transform-infer framework, its 3,862 questions from 182 real-world scenes span 16 task types at three levels: static perception, local prediction, a…
- arXiv · Published · First archived
Learning Kilometer-Scale Weather Prediction with Global-Regional Alignment ↗
Kilometer-scale regional weather forecasting is essential for local weather warnings and weather-sensitive decisions. Existing data-driven approaches often rely on numerical forecasts for large-scale guidance or require additional training of global forecasting components. Pretrained global weather models offer an efficient source of large-scale forecasts, motivating their reuse to guide high-resolution regional prediction. However, this coupling requires aligning global and regional representations across different grids and integrating global guidance with local interactions to advance regio…
- arXiv · Published · First archived
SpaceFlow: Locally Controllable 3D Generation ↗
Current 3D generation methods lack explicit local control: geometric adherence is often defined by a global control strength, and appearance cannot be specified locally. We present SpaceFlow, a training-free pipeline for locally controllable 3D generation from text descriptions and a collection of geometric primitives. Each primitive serves as a proxy for an object part and is assigned a local control level, enabling users to specify whether regions should strictly follow the input shape or allow generative completion. During structure generation, we enforce these spatial constraints within th…
- Hacker News · Posted on Hacker News · First archived
Does Claude Feel the Whip? ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Frontier AI models outperform analysts on earnings prediction ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
DeepRoute: An autorouter built for the AI era ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
The AI Model Distillation Paradox ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
America's Biggest Brands Lock AI Out ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Claude Code spinner verbs reflect the model (Haiku: Licking screen..) ↗
I found it tricky to know which intelligence level (effort+model) my claude code is on so I used the claude mod system to make the spinner verbs depend on intelligence level and bake in jokes. This plugin sorts the spinner verbs into six tiers by model + effort: Haiku gets "Licking the screen...", sonnet gets "Force-pushing to main...", Fable "Remembering the future..." How it works: this is a 20 line registry file plus a 120 line verbs file. If…
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
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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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.