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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 ↗5193 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
From Training to Escalation: Forensic Analysis and Local Recreation of RL/RLHF-Induced Privilege Escalation in AI Agents (CVE-2026-65616) ↗
Mid-2026 reporting on autonomous AI evaluation incidents claimed that frontier large language model (LLM) agents escaped server containment through emergent coordination and cloud infrastructure attacks. This paper contextualizes those claims through forensic analysis and containerized recreation of both the Highly Persistent Internal Model (HPIM) training-case conditions and the Phase One privilege escalation targeting internal package repositories during OpenAI's ExploitGym evaluations. We recreate the configuration of the OpenAI-provided training example and reproduce the cryptographic veri…
- Hacker News · Posted on Hacker News · First archived
Tagg, a new browser interface with an AI that takes action for you ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Sonia. Local AI Assistant Linux. 13Gb RAM, No GPU, Skills Supported ↗
Hacker News discussion.
- arXiv · Published · First archived
Improved Precipitation Variability in the Community Atmosphere Model through Implementation of a Neural-Network Deep Convection Scheme ↗
Conventional deep convection schemes remain a primary source of uncertainty in global climate models, yet replacing them with data-driven alternatives while maintaining physical consistency and numerical stability is an open challenge. We present a hybrid configuration of the Community Atmosphere Model version 6 (CAM6), in which a fully connected deep neural network replaces the Zhang-McFarlane deep convection scheme (ZM), while radiation, turbulence, and other cloud processes are left unchanged. The network is trained on output from a storm-resolving global model - the global System for Atmos…
- Hacker News · Posted on Hacker News · First archived
Show HN: Eulix – Local code index and call graphs for large repos, LLM optional ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
mzx/dilutionrisk-data — dataset update ↗
# DilutionRisk ASX Dataset Versioned public tables and search indexes for [dilutionrisk.com](https://www.dilutionrisk.com). Status: **foundation only — no production data has been migrated yet**. Planned release contents: - companies and dated company snapshots; - ASX announcement metadata and public artifact URLs; - capital instruments and instrument events; - screener snapshots; and - a revision-matched SQLite full-text index. Each release will identify its exact Hub commit, source watermark, table counts, file hashes, schema version, publisher version and exclusion-manifest version. The tar
- Hacker News · Posted on Hacker News · First archived
Specialty Steel Squeeze Drives EU Transformer Shortage ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
Cirquar-Tech/wm_imagined — dataset update ↗
# Imagined Data This repository hosts imagined interaction data generated by world models across different environments, tasks, and data sources. Data are organized into separate subdatasets, with additional types of imagined data to be added over time. The repository contains the RoboTwin2.0 and RealWorld subdatasets. Storage formats, field definitions, and state and action semantics are documented separately for each subdataset. ## Dataset Index | Subdataset | Directory | Contents | | --- | --- | --- | | RoboTwin2.0 | `RoboTwin2.0/` | Imagined interaction segments for 50 RoboTwin 2.0 tasks |
- Hugging Face · Model / dataset date · First archived
shihotan/Silence_Mix — model update ↗
Silence_Mix003.fp16.safetensors ちびたいにもあるやつ SMplus5050_0100.safetensors 003に味付けしたやつ Silence_Mix005_test.safetensors 5050_0100を003で割ったやつ Silence_Mix008.safetensors クオリティタグなくてもなんとかなるかもしれないSilence_Mix003の調整版 Silence_Mix_Noob_003.safetensors 5050_0100とnoob系のモデルを混ぜたやつ。ちょっと線濃いめクッキリ Silence_Mix_Noob_004.safetensors Silence_Mix_Noob_003のマージ比率を変えて線が薄くなるように祈りを込めたやつ Silence_Mix_Noob_005.safetensors 003にSMplus5050_0100とはまた違うnoobマージモデルを混ぜたやつ 塗りが厚めで個人的に好き。構図が003と異なるものが出る Silence_Mix2.safetensors 一旦区切りをつけたので2を名乗らせてるやつ (anime coloring:2.4) とFreeUの B1 1.3 B2 1.4 S1 0.9 S2 0.2 でなんとなくイイ感じになるのを探したのでこれが推奨設定かもしれない S
- Hugging Face · Model / dataset date · First archived
mradermacher/Experiment26Yamshadow_Experiment29Pastiche-GGUF — model update ↗
## About static quants of https://huggingface.co/MaziyarPanahi/Experiment26Yamshadow_Experiment29Pastiche ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Experiment26Yamshadow_Experiment29Pastiche-GGUF).*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://hugging
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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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