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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 ↗6001 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.
- GitHub · Repository created · First archived
bottomless/agent-duel ↗
Blinded battles between coding agents: two agents, one prompt, you pick the winner. Desktop app, runs locally.
- Hugging Face · Model / dataset date · First archived
liofoil/timememory — dataset update ↗
# TimeMemory — private academic research artifacts This repository is a private migration archive, not a public dataset release or a single uniform `load_dataset` table. Companion code, detailed recovery manual and sanitized research/conversation history: [GitHub liofoil/timememory](https://github.com/liofoil/timememory). Start with GitHub `RESTORE.md`, `CODEX_HANDOFF.md`, and `docs/RESEARCH_HISTORY.md`. Download only the explicit files in `migration/artifacts_manifest.json`, using the frozen HF commit recorded in the companion GitHub `migration/artifact_release.json`. Contents: eight consecut
- Hugging Face · Model / dataset date · First archived
phanerozoic/qiskit-calibration-drift — dataset update ↗
# Qiskit Calibration Drift Calibration parameters from IBM Quantum Heron processors joined to ambient and space-weather conditions at the time of each measurement. Designed for time-series forecasting of qubit drift and for studying environmental coupling to superconducting calibrations. A GitHub Action ([source](https://github.com/CharlesCNorton/qiskit-calibration-drift)) polls `backend.properties()` on every available Heron device every 30 minutes and appends new calibration events keyed on `(backend, property, qubit_a, qubit_b, calibrated_time)`. ## Backends | Backend | Processor | Qubits |
- Hacker News · Posted on Hacker News · First archived
Open source didn't get less important because AI can write the code ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: The Velocity Trap, the Phoenix Project for the AI Age ↗
I'm taking a bit of a risk with this one, this is a novella I authored with the help of AI. If that offends you, please move on! Everyone on HN knows just how much AI is disrupting our industry. Although, much of the industry narrative focusses on the tools, the AI, the harnesses, and their ever-growing capabilities. We need to spend just as much, if not more time discussing the impact this is having on us. Humans will still be a significant part…
- Hacker News · Posted on Hacker News · First archived
A Design System in and for the Agentic Era ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
FINAL-Bench/OSC-Superconductor — dataset update ↗
# OSC — Open Superconductor Challenge **Screen thousands of 2D materials for unconventional (d-wave) superconductivity — from your own laptop — and climb an open, verified leaderboard.** 🏆 **Leaderboard, live challenge & submission:** **https://huggingface.co/spaces/FINAL-Bench/OSC-Leaderboard** --- ## TL;DR (the short answer) OSC is a free, open-science competition on Hugging Face to find the next candidate **twisted-2D superconductor**. We provide a computed **effective model** (`t`, `U`, `N(E_F)`) for each material; you estimate its **d-wave pairing tendency** with any method — a laptop CP
- Hugging Face · Model / dataset date · First archived
unsloth/FLUX.1-schnell-FP8 — model update ↗
This is an FP8 / INT8 quantized version of [FLUX.1-schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell). - Optimized for efficient inference with reduced memory footprint. Same-seed LPIPS vs the bf16 model (lower is better): 0.151 INT8, 0.157 FP8. --- ### Samples Prompt: "cute sloth typing on a computer" INT8 INT8 FP8 FP8 --- ![FLUX.1 [schnell] Grid](./schnell_grid.jpeg) `FLUX.1 [schnell]` is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. For more information, please read our [blog post](https://blackforestlabs.ai/announcing-
- GitHub · Repository created · First archived
alyakan/lantern ↗
Lantern for Claude Code: see what Claude is doing, one reviewable step at a time.
- Hacker News · Posted on Hacker News · First archived
Show HN: I built a 3D globe of upcoming AI conferences ↗
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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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.