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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 ↗5215 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.
- Hugging Face · Model / dataset date · First archived
thousandml/Qwen3-Coder-Next-CQ-4bit — model update ↗
# Qwen3-Coder-Next-CQ-4bit > **80B-parameter Mixture-of-Experts coding model · 3B activated parameters · Coded Quantization (CQ) 4-bit** > > **Note on Hugging Face's model-size display:** Hugging Face may report a smaller stored parameter count for this repository because CQ stores the weights in a packed 4-bit representation. The underlying model is **Qwen3-Coder-Next**, with approximately **80B total parameters and 3B activated parameters per token**. The smaller number reflects the packed storage tensors counted by the Hub, not the parameter count of the original model architecture. **Qwen3
- Hugging Face · Model / dataset date · First archived
thousandml/Qwen3.8-Flash-Next-CQ-4bit — model update ↗
# Qwen3.8-Flash-Next-CQ-4bit > **Qwen3.8-Flash-Next · Coded Quantization (CQ) 4-bit** > > **Note on Hugging Face's model-size display:** Hugging Face may report a smaller stored parameter count for this repository because CQ stores model weights in a packed 4-bit representation. The displayed stored tensor count therefore does not directly represent the parameter count of the original model architecture. **Qwen3.8-Flash-Next quantized to 4-bit with Coded Quantization (CQ).** **ThousandML:** https://thousandml.com CQ is a **calibration-free 4-bit quantization method** designed to preserve the b
- GitHub · Repository created · First archived
reacher-z/Awesome-REA ↗
Awesome Reverse Engineering Anything: tools, projects, case studies and research papers for websites, games, apps, binaries, firmware and communication protocols.
- Hacker News · Posted on Hacker News · First archived
Show HN: Sjq – Jq, but for AI Streaming ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Subversion of clinical judgment by conversational artificial intelligence ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
kornitsovivan/rbdata — dataset update ↗
# AXIS Franka training data for Subnet 80 Per-task LeRobot v3.0 datasets converted from [axisrobotics/Franka-Datasets-v2](https://huggingface.co/datasets/axisrobotics/Franka-Datasets-v2) and [axisrobotics/Franka-dataset-v2-2](https://huggingface.co/datasets/axisrobotics/Franka-dataset-v2-2) into the form the Subnet 80 AXIS evaluator feeds a pi0.5 policy. The terms of the source datasets apply to this data. Layout: ` / /` (one LeRobot v3.0 dataset per task). | | Source | Here | |---|---|---| | Rate | 15 Hz | **5 Hz** (control rate): frames with `frame_index % 3 == 0` | | Cameras | third_person,
- Hacker News · Posted on Hacker News · First archived
What causes AI fatigue for engineers and how to ease the strain ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Free-AI-tools – Curated list of free and low cost AI tools ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
GPT-Live-1.1 – New voices. Better accents. Less "checking." ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
A tool to compare LLM benchmarks ↗
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.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.