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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 ↗5644 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
Show HN: AI SRE Arena, an Open Benchmark for AI SRE Agents on Kubernetes ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
The Download: AI roadblocks for humanoids and portable rubber dams ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Anthropic bans 'abusive or cruel behavior' towards Claude ↗
Hacker News discussion.
- GitHub · Repository created · First archived
VectorSpaceLab/AgentSWE ↗
Can coding agents build the agent you actually want? A benchmark of 25 agent software engineering tasks across creation, editing and optimization.
- arXiv · Published · First archived
Data Representation Matters: Optimizing Machine Learning for X-ray Source Classification by Leveraging Spatio-Spectral Information ↗
Distinguishing between faint extended X-ray sources is a fundamental yet challenging task in X-ray surveys. This paper presents a benchmark comparison of convolutional neural network models for classifying simulated XMM-Newton observations of AGN and galaxy clusters, focusing on the impact of data representation and interpretability of that data. We evaluate 1D, 2D, 2D+1D, and 3D CNNs trained on distinct data representations derived from simulated XMM-Newton observations of AGN and clusters: 1D (spectral), 2D (imaging) and 3D (event cube) data. We further apply 3D-GradCAM to interpret the lear…
- Hugging Face · Model / dataset date · First archived
niejunnan25/pi05-robotwin — model update ↗
# π₀.₅ RoboTwin Checkpoints for PACE Task-specific π₀.₅ checkpoints used in **PACE: Phase-Aware Chunk Execution for Robot Policies with Action Chunking** ([paper](https://openreview.net/forum?id=mjYg599A94)). Each task has its own model and normalization statistics. PACE is a training-free execution method: Fixed-horizon, PACE and the adaptive baselines in the paper use the same task-specific model weights. PACE calibration results and evaluation code are distributed with the companion codebase. **Available checkpoints:** 37 of 50. The complete available-task list is in `manifest.json`. ## Con
- Hugging Face · Model / dataset date · First archived
interimlabs/InterimLabs-Huihui-Qwen3.5-9B-abliterated-GGUF-Q4_K_M — model update ↗
 # Interim Labs Huihui Qwen3.5-9B abliterated · GGUF Q4_K_M A standalone GGUF Q4_K_M release published by [Interim Labs](https://huggingface.co/interimlabs) for local text generation. This package derives from [huihui-ai/Huihui-Qwen3.5-9B-abliterated](https://huggingface.co/huihui-ai/Huihui-Qwen3.5-9B-abliterated). The GGUF weights are redistributed byte-for-byte from the credited conversion source below. ## Model series Part of the [Interim Labs Qwen3.5 series](https://huggingface.co/collections/interimlabs/interim-labs-qwen
- Hacker News · Posted on Hacker News · First archived
OpenAI mathematics papers have no correspondence address ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Give Your Agent Context Before You Buy an AI SRE ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Trump says anyone who uses the phrase "artificial intelligence" is "the enemy" ↗
Hacker News discussion.
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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