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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 ↗5876 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
I'm not paying $20 for ChatGPT or Claude because a free local LLM does ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI Model Groupthink ↗
Hacker News discussion.
- arXiv · Published · First archived
Deep Learning vs. Statistical Models for Multi-Horizon Price Forecasting of Second-Hand Electronics: A Systematic Benchmark ↗
Forecasting resale prices of used electronics is critical for subscription-based platforms where pricing errors translate directly into risk. Unlike structured financial markets, second-hand electronics exhibit high volatility, sparse listing histories, and non-normal price dynamics - yet no systematic time-series benchmark exists for this domain. This paper presents the first multi-horizon benchmark of statistical and deep learning forecasting models for used electronics price prediction. We use a large-scale dataset of daily price listings from Polish online marketplaces (January 2022 to Mar…
- Hacker News · Posted on Hacker News · First archived
Funding the AI revolution: evidence from euro area sectors ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
GPT‑6 and Intelligent UI for everyone ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
luisastellet/qwen-metaphor-unke — model update ↗
# Model Card for Model ID ## Model Details ### Model Description This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] - **Repository:**
- Hugging Face · Model / dataset date · First archived
deplana/stream-archive — dataset update ↗
# stream-archive Twitch and Kick chat logs from Italian streamers. ## Streamers ### Twitch.com (39) aladinottv, alisonrevenge, arkanightlive, bartopanzer, billybella_, dankol83, dariomocciatwitch, davidrubino, diariodelrusso, enkk, federicacasula_, fufflix, grenbaud, gskianto, homyatol, ilgabbrone, ilrossopiubelloditwitch, immortale____, kasumisen, lollolacustre, lucakingm, luiskant690, macchiativincenzo_babbohs, marcomerrino, menestointhailandia, none_cerbero_podcast, ocwsport, paolettopierino, patrizio_official, prokitchentv, ruvido_twitch, sdrumox, ssjreda, studytme, teozano_, thepresidentc
- arXiv · Published · First archived
Tetris3D: 3D Scene Generation With Objects That Fit Together ↗
We propose Tetris3D, a generative framework for single-image 3D scene reconstruction that recovers objects which are physically and geometrically coherent as a scene. Existing methods often generate objects independently or couple them implicitly, providing limited guidance for ensuring fine-grained spatial compatibility between neighboring objects that interact with one another. To address this, we explicitly condition the generation of each object on the geometry of surrounding objects and their physical relationships, guiding its shape and pose to remain geometrically and physically plausib…
- arXiv · Published · First archived
Never Look Back: Understanding Persistence in 3D Object Memory from Egocentric Videos ↗
As we move through the world and carry out everyday tasks, we encounter objects that may become relevant only later. We are capable of recalling where we left something or what was inside a container, even without knowing we would need it later. Here, we study how an embodied assistant can build a similar memory from egocentric videos, by observing a person's day-to-day activities. We present Ledger, a persistent 3D object memory that combines object locations, their histories, and contextual descriptions. It associates observations across the recording and retains objects after they leave the…
- arXiv · Published · First archived
Decoupling Exploration from Optimization in RLVR ↗
Modern language models undergo reinforcement learning with verifiable rewards (RLVR) on top of already-trained checkpoints. A key promise of RLVR is the discovery of new reasoning strategies. In principle, a model can sample novel ideas absent from its prior training data. In practice, however, augmenting RLVR with strong novelty incentives has seen limited success and can degrade model quality. Because verifiable rewards supervise only a narrow slice of the model's knowledge and behavior, such degradations are difficult to recover from. Instead, we decouple exploration from optimization in a…
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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.
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