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 ↗5225 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
TheoHsiung/d3-NVFP4 — model update ↗
# d3-NVFP4 **d3-NVFP4** is an unofficial NVFP4 (W4A4) quantization of [d3](https://huggingface.co/vllm-sr/d3), the 27B multimodal foundation decision model of Decision 3.0. It takes the same inputs and questions as d3 and returns a probability for every answer, without generating text, on a single 32 GB GPU: 17.2 GB of weights instead of 52 GB. | | | | --- | --- | | **Base model** | [vllm-sr/d3](https://huggingface.co/vllm-sr/d3), revision `093cffba` (the same weights as v3.1.0, which the boards evaluated, and the current main) | | **Quantization** | NVFP4 (W4A4): compressed-tensors `nvfp4-pac
- Hugging Face · Model / dataset date · First archived
TheoHsiung/d3-W4A16-G128-GPTQ — model update ↗
# d3-W4A16-G128-GPTQ **d3-W4A16-G128-GPTQ** is an unofficial INT4 weight-only (W4A16) quantization of [d3](https://huggingface.co/vllm-sr/d3), the 27B multimodal foundation decision model of Decision 3.0. It takes the same inputs and questions as d3 and returns a probability for every answer, without generating text, on a single 32 GB GPU: 16.1 GB of weights instead of 52 GB. | | | | --- | --- | | **Base model** | [vllm-sr/d3](https://huggingface.co/vllm-sr/d3), revision `093cffba` (the same weights as v3.1.0, which the boards evaluated, and the current main) | | **Quantization** | INT4 weight
- Hacker News · Posted on Hacker News · First archived
Show HN: Evaluate and improve your agent steering ↗
Hi HN, excited to be open sourcing two tools that we have built over past few months which helps to understand your own work with AI coding agents Agent Desk is a local macOS app which allows you to browse your sessions across all top coding agents - Claude code, cursor, codex, github copilot, Kiro, Antigravity. You can find sessions by your projects, revisit those conversations, understand and inspect your entire harness - rules, skills, hooks,…
- Hacker News · Posted on Hacker News · First archived
To Keep Human Judgment, We Need AI Courts ↗
Hacker News discussion.
- GitHub · Repository created · First archived
mmm1712/Local_AI_esp32 ↗
A language model trained from scratch and running offline on an ESP32-S3 with a touchscreen chat interface.
- Hugging Face · Model / dataset date · First archived
ashrafkassem/leadpilot-data — dataset update ↗
# LeadPilot Automation Dataset Companion dataset for the [LeadPilot HuggingFace Space](https://huggingface.co/spaces/ashrafkassem/LeadPilot). LeadPilot is a multi-tenant SaaS automation platform for lead capture via WhatsApp and Meta (Instagram DM, Messenger, Lead Ads), with Zoho CRM sync. ## Dataset Contents ### static/ Pre-seeded catalog data — does not change at runtime. | File | Rows | Description | |---|---|---| | `static/templates.jsonl` | 12 | Automation flow templates (slug, name, category, platforms, builder_graph_json, variables) | | `static/plans.jsonl` | 3 | Subscription plans (fre
- Hugging Face · Model / dataset date · First archived
Willie999/Caspian-LFM2.5-350M-Reasoning — model update ↗
# Caspian-LFM2.5-350M-Reasoning A fine-tuned model for reasoning tasks. ### Evaluation Results | Metric | Value | |--------|-------| | Loss | 1.0038 | | Entropy | 0.9854 | | Num Tokens | 112053656.0000 | | Mean Token Accuracy | 0.7227 | ### Model Benchmarks (Throughput & Latency) Evaluated on an **NVIDIA A100-SXM4-80GB GPU** (BF16 Precision, PyTorch v2.11): | Sample Domain | Prompt Context | Generated Tokens | Generation Latency | Throughput (tokens/sec) | |---------------|----------------|------------------|--------------------|-------------------------| | **MATH** | Diophantine equation | 51
- Hugging Face · Model / dataset date · First archived
NullRabbit/nr-network-known-class-detector — model update ↗
# nr-network-known-class-detector A binary **attack-vs-benign** detector for **blockchain-node network/resource attacks**, trained entirely on faithful reproductions of **publicly-disclosed** attacks. Every attack class in the corpus reproduces a specific public disclosure — a CVE, a GHSA, or a named third-party security audit — and each carries a `provenance.source_class` recording how public its sourcing is. Part of NullRabbit's work on **autonomous defence for decentralised networks** — *watch the outside of the perimeter*. > **STATUS: DIAGNOSTIC, not a deployment claim.** Trained on synthe
- GitHub · Repository created · First archived
assafkip/claudemy ↗
Claudemy: an open-source alternative to Udemy and Coursera. Give Claude a topic, it researches the web and builds a course of 2-minute audio lessons with cited sources. A free Claude Code skill.
- Hacker News · Posted on Hacker News · First archived
Show HN: Can AI read your mind? ↗
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 ↗
Follow a thread
Explore related regions
These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.