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 ↗5797 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
Sub-1-Bit LLM Compression via Latent Factorization ↗
Hacker News discussion.
- arXiv · Published · First archived
Market Impact Estimation via Causal Foundation Models ↗
When a trader executes a large order, the relevant question is not \emph{what will the price be?} but \emph{what would the price have been had I not traded?} Market impact is thus a causal quantity, yet classical models (Almgren--Chriss, propagators) regress price on flow, which is biased whenever informed flow moves prices through information as well as trading. We present a proof-of-concept \emph{Causal Market Simulator}: a continuous-time causal prior-data fitted network (PFN) trained on a synthetic market prior in which a hidden informational flow confounds the flow--price relation by cons…
- arXiv · Published · First archived
Digital Twin for Pre-Deployment Validation of AI-Driven Safety-Critical Industrial Edge Control Loops ↗
Industrial environments are increasingly characterized by the tight interaction among physical processes, communication infrastructures, and intelligent applications. In this context, Digital Twins (DTs) have emerged as a key technology for system analysis and optimization. However, existing DT solutions typically focus either on industrial processes or communication networks, while lacking an integrated and application-aware perspective. To fill this gap, this paper proposes a modular DT framework for industrial environments that jointly models physical processes, wireless communications, and…
- arXiv · Published · First archived
From Public Posts to AI-Search Citations: Measuring the Fragility of AI Search ↗
As more users ask AI systems for information, AI-search platforms are becoming a common gateway to web information. Unlike traditional search, which maps keywords to ranked pages, AI search retrieves pages, filters sources, selects citations, and generates answers before users see sources. This selection layer may amplify source bias and turn source choice into a security question. If a platform repeatedly cites domains where new users can publish posts easily, ordinary publication on those domains can become an indirect path into AI-search citations and answer text. Measuring this path is har…
- Hacker News · Posted on Hacker News · First archived
LLM analytics benchmark: the best model for your analytics agent ↗
Hacker News discussion.
- GitHub · Repository created · First archived
edmer664/fila-boost ↗
Free, open-source AI planning tool. Supercharge AI coding agents with Filament v5 best practices and spec driven planning, and automated implementation reviews inspired of Laravel Boost.
- Hacker News · Posted on Hacker News · First archived
Show HN: TinyWebUI – A small, self-hosted AI chat UI with MCP, search and memory ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Tell HN: News flash is that you guys were writing slop waaay before AI ↗
I am sickened by the self delusional comments and behaviors from a lot of software engineers. People need to stop pretending that their work was not sloppy prior to AI. All of y’all are and were not Karpathy, or even some mid-tier programmer. For 99.9 percent of you, your were and always have been: 1) the reason for bad times during pull requests and peer reviews, 2) the reason why “it works on your machine”, 3) the reason why pair programming wa…
- arXiv · Published · First archived
Forms of LLM-Integrated Applications from LLM-Chats to Autonomous AI Agent System ↗
Large language models (LLMs) are increasingly embedded as components in software systems, marketed under labels such as chatbot, copilot, retrieval-augmented generation, workflow, coding agent and AI agent. Whether these labels denote genuine architectural forms or serve as branding has not been assessed systematically. In the sources surveyed, labels do carry architectural content, most clearly in vendor usage: copilot denotes a router-worker architecture operating a host application under step-by-step user confirmation, while the more recent shift to the label agent coincides with AI-planned…
- Hugging Face · Model / dataset date · First archived
Nekodeus/mistral-7b-instruct-v02-openvino — model release ↗
# Mistral-7B-Instruct-v0.2 OpenVINO (INT8) OpenVINO IR conversion of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) with weight-only INT8 quantization, produced on CPU-only Kaggle with `optimum-cli` (fully offline, token-free). - Base model: `mistralai/Mistral-7B-Instruct-v0.2` (MistralForCausalLM, 7.2B params, Apache-2.0) - Task: `text-generation` - Precision: weights INT8 (NNCF), activations FP16/FP32 as traced - Converted with: `optimum-intel 2.2.0`, `openvino 2026.4.1`, `transformers 5.16.1` - Contents: `openvino_model.xml/.bin`, `openvino_t
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.