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Earlier sources: Language models
Language models learn patterns in text and other representations to predict or generate sequences. Follow model releases, training methods, reasoning, evaluation, and deployment research; a benchmark result is specific to its test conditions.
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 ↗449 classified signals in the fourteen-day window. 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.
- GitHub · Repository created · First archived
bvolpato/kevala ↗
Decision models (Laya, Kev) in any web page: a zero-dependency Rust engine compiled to WebAssembly, with WebGPU kernels. One import, no server.
- GitHub · Repository created · First archived
Li-Evan/awesome-jev ↗
The most complete gallery of what people build with Jev, TypeSafe's System One model: 3,400+ projects, demos, and write-ups by scenario, each with its original link, image, and description.
- GitHub · Repository created · First archived
jev-chat/jev-chat-windows ↗
JevChat-Windows：聊天窗口旁挂的回复辅助。窗口截图 + 本地离线 OCR 读对方消息 → Jev 判断意图 → 3 条候选一键填入，发送永远手动
- GitHub · Repository created · First archived
jev-chat/jev-chat-jarvis-mac ↗
聊天悬浮窗助手（macOS）：屏幕感知 + 本地小模型判断意图与风险，按话术生成回复候选。纯只读。
- GitHub · Repository created · First archived
jev-chat/jev-chat-jarvis ↗
装在手机上的对话副驾：在 QQ / X / 飞书里读懂对方、给出候选回复、一键填入输入框，发不发由你。非侵入，只读屏幕，不 hook 不改包。
- GitHub · Repository created · First archived
nokia-applied-research/AnyJev ↗
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
- GitHub · Repository created · First archived
Alex314618-create/JevRev ↗
An LLM + Jev workflow that changes EVERYTHING. Boost your vertebrate brain with a spine inside.
- GitHub · Repository created · First archived
HorusJiang/dsh-jev-tools ↗
Jev judgment, not generation: prune long tool output, screen fetched pages for injected instructions, and gate completion claims inside DeepSeek Harness.
- GitHub · Repository created · First archived
2022hpsk/SpeakerMemR1 ↗
SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue
- arXiv · Published · First archived
Financial Language Models as Applied Artificial Intelligence Systems for News-Based Trading under Market Frictions ↗
Financial language models can transform unstructured firm-specific news into structured decision signals, but financial AI research lacks an integrated deployment framework for evaluating whether those signals remain useful in financial decision systems. Computer science research has developed strong methods for time-series forecasting, text classification, multimodal stock prediction, graph-based market modeling, and machine-learning operations, yet these streams do not provide a domain-specific protocol that jointly tests financial language-model outputs under event-time observability, proba…
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Language models
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.