THE INTERNET IS THINKING
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 ↗5499 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
AI borrowing slows as investors grow wary of debt binge ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
The AI Torture Chamber ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Ariodb – a proxy that checks and can undo what AI agents do to your DB ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
There's little that's "inevitable" about AI ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
xhowold/file-storage-7485 — dataset update ↗
# File Storage Dataset This dataset is used for file storage purposes. ## Files This dataset contains uploaded files organized in the `uploads` directory.
- Hugging Face · Model / dataset date · First archived
Flownium/zeus-28b-v0.1 — model update ↗
# Zeus-28b-v0.1 ## What Zeus is mainly intended for Zeus is intended for **structured decisions over options supplied by an application or agent**. Its added decision interface is aimed at tasks such as: - **Tool or action selection:** choose the next step from a provided candidate list, using the available context. - **Classification and triage:** select a label or route from defined options. - **Single-choice and multi-choice decisions:** select one or more supplied answers or actions. - **Structured yes/no and ordinal scoring:** return a decision using the supplied options or scale. These a
- Hugging Face · Model / dataset date · First archived
User01110/100M-exp — model update ↗
# 100M-exp A 98M-parameter base language model, trained from scratch on 21B tokens. `100M-exp` is an experiment in small-model design: a hybrid sliding-window / full-attention transformer with a few additions meant to help at this scale. It was trained for 40k steps as a branch of a longer run, ending with a learning-rate cooldown. It scores **22.47** on the Open SLM Leaderboard's Intelligence Index (self-evaluated). --- ## At a glance | | | |---|---| | **Parameters** | 98.2M (tied input/output embedding) | | **Layers** | 20 (18 sliding-window + 2 full attention) | | **Width** | 576 hidden, 9
- GitHub · Repository created · First archived
ChillingWombat/AntigravitySwissKnife ↗
Cross-platform companion for Google Antigravity: Account Switcher, Custom Model Gateway, UI/UX Enhancement, Preview Browser, File Explorer, GitHub Workspace, Token Monitor, and many more features !
- GitHub · Repository created · First archived
liliy886/google-gmail-account ↗
谷歌邮箱_谷歌账号一手货源 | 个人/企业/API直登授权 | Gmail成品号免绑手机号·纯净IP·密码密保全可改 | 同步供应Outlook双令牌API、TikTok/YouTube/Vinted/Steam跨境养号、AI代充 | 8年老店包售后包稳定 | 一个也是批发价丨WorkBuddy账号2毛/个丨TikTok/YouTube/Vinted/Steam成品号丨AI代充丨workbuddy注册丨workbuddy中转站
- Hugging Face · Model / dataset date · First archived
chaeeun7201/furniture_partial_finetuning — model update ↗
# furniture_partial_finetuning This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 an
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 ↗
Follow a thread
Explore related regions
These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.