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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 ↗5437 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
Ultron28/thor-lm-1b — model update ↗
# ⚡ THOR-LM-1B: Frontier Language Model Pre-Trained with THOR **THOR-LM-1B** is a ~915 Million parameter modern autoregressive transformer pre-trained from scratch on high-purity **FineWeb-Edu** tokens, optimized exclusively with **THOR (Tempered High-velocity Orthogonal Representation)**. --- ## 🏛️ Model Architecture - **Parameters**: 914,696,192 (~1.0B parameters) - **Layers**: 18 Transformer Decoder Blocks - **Hidden Dimension ($d_{\text{model}}$)**: 2,048 - **Attention**: Grouped Query Attention (GQA, 16 Query Heads, 4 KV Heads) - **Feed-Forward**: SwiGLU Gated MLP ($d_{\text{ff}} = 5,632
- GitHub · Repository created · First archived
DiegoLopez0208/mechanism ↗
Model a real object exactly, take it apart, film it. A skill for coding agents: every number says where it came from, and a spec that does not add up is not rendered.
- Hacker News · Posted on Hacker News · First archived
Army turning to AI in its fight against biological threats ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
ozanhs/motif_lora_test — model update ↗
# motif_lora_test ## Model description Motif Lora Test ## Download model [Download](/ozanhs/motif_lora_test/tree/main) them in the Files & versions tab.
- Hacker News · Posted on Hacker News · First archived
Epic Games reportedly pivoting to "AI first" game development model ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
chenhaodev/triage-qwen3-8b-lora — model update ↗
# Qwen3-8B 电话分诊 LoRA (Telephone Triage LoRA) 基于 **Qwen/Qwen3-8B** 的 4-bit QLoRA 指令微调适配器，面向**电话医疗分诊**场景：给定患者来电主诉（自然语言，中文优先），模型输出**分诊级别 + 疑似诊断/考虑 + 处置建议**。 ## 用途 面向成人电话分诊（emergency triage）领域的专科助手，适用于： - 来电症状紧急程度分级（emergency / urgent / non-acute） - 疑似诊断提示与初步处置建议 - 辅助分诊护士的决策支持 > ⚠️ **医疗免责声明**：本模型仅用于研究与辅助参考，**不构成医疗建议**，不能替代专业医疗人员与急救判断。紧急情况请拨打当地急救电话（如 120/911）。 ## 训练方法（知识蒸馏） 1. **数据来源**：一份成人电话分诊协议手册（PDF，481 页），解析其规范化的三栏表格结构，得到 887 条「症状→分级→处置建议」记录。 2. **教师蒸馏**：使用本地 vLLM 教师模型（`minimax`）将结构化症状记录改写为**逼真的第一人称中文来电主诉**，保留全部医学信息 —— 将领域知识转化为自然语言对话素材。 3. **SFT**：unsloth + 4-bit QLoRA（r=16, α=16, use_rslora），8
- Hacker News · Posted on Hacker News · First archived
Math community could learn from bio[med]'s to live with AI ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
FrontierCode: Can AI models write code maintainers would merge? ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Turn a frontier AI into a multi-agent systems architect ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Recover Claude Code Desktop sessions after switching accounts ↗
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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