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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 ↗5379 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
jepacpp/jepa.cpp-fixtures — dataset update ↗
# jepa.cpp parity fixtures PyTorch golden reference dumps for [**jepa.cpp**](https://github.com/aselimc/jepa.cpp), a ggml-based C/C++ inference engine for the JEPA family. `tests/test-parity` and `tests/test-predictor` replay these tensors through the engine and gate per-token cosine, pooled outputs and classifier top-1/top-5 against per-family thresholds. Generated from jepa.cpp `main` @ [`00bfd4e`](https://github.com/aselimc/jepa.cpp/commit/00bfd4e) with `scripts/dump_reference.py --model all`, in float32 eval mode on 32 CPU threads, no autocast. ## Contents | directory | model | files | siz
- Hacker News · Posted on Hacker News · First archived
Running RAG with a (small) language model in the browser ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Developing Zap in the LLM Age ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Just 5 years in, interactive chatbot platform Character.AI files for bankruptcy ↗
Hacker News discussion.
- arXiv · Published · First archived
Steering the Fidelity in State Preparation on Noisy Bosonic Systems with Risk-Seeking Optimization ↗
In order to execute quantum algorithms on bosonic quantum computers, it is necessary to encode their inputs into a desired target quantum state, with a process called state preparation. In real settings, state preparation methods operate in stochastic scenarios, where the prepared state is represented as a mixed state, that is a probabilistic ensemble of pure states. Therefore, existing state preparation methods optimize a variational ansatz by averaging over all possible sequences of photon loss events contained in the prepared ensemble, yielding an output state which approximates the desired…
- Hacker News · Posted on Hacker News · First archived
Mobile Tunnel: Giving AI agents control of Android to drive drones and IoT ↗
Hacker News discussion.
- arXiv · Published · First archived
ReTerm: Recovery Training for Self-Improving Terminal Agents ↗
Terminal agents have shown strong abilities in complex coding tasks. However, they often struggle to recover from errors during long-running execution (e.g., command errors, faulty implementations), eventually leading to task failures. To this end, we present ReTerm, a self-improving terminal agent trained by learning how to recover from its own failed terminal tasks. To support its training, we construct a customized data pipeline and produce ReTerm-10K, a high-quality dataset that provides effective recovery demonstrations for SFT cold start. Furthermore, we propose ReTerm-GRPO, an online RL…
- arXiv · Published · First archived
Lifting: Quantum State Discrimination Framework for Mid-Circuit Measurements ↗
Quantum computing promises new capabilities beyond classical computation. Mid-circuit measurements (MCMs) enable error correction and outcome-dependent control, but their reliability is limited by noise on superconducting hardware. These operations depend on accurate quantum state discrimination (QSD), which assigns measured signals to state labels. Neural network-based (NN-based) QSD improves this assignment, yet its error remains bounded below by the Bayes risk of the available readout distributions. A complementary challenge is state deterioration as successive measurements accumulate and c…
- Hacker News · Posted on Hacker News · First archived
NetBSD may have found a new role: The AI-free FOSS OS ↗
Hacker News discussion.
- GitHub · Repository created · First archived
BijectiveLabs/trading-research-agents ↗
Autonomous trading agents with deterministic execution. The agents propose; the system decides.
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.
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.