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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 ↗5982 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
alphaparkinc/genpark-enterprise-slide-deck-narrative-compiler-skill ↗
Enterprise Presentation & Slide Deck Narrative Structure Compiler (inspired by Tencent WorkBuddy Goal-to-PPT Workflows). Transforms raw enterprise documents, meeting transcripts, and KPI metrics into structured executive slide decks with layout templates, card callouts, speaker notes, and timing budgets.
- GitHub · Repository created · First archived
Alpha-Park/genpark-agentic-travel-multi-leg-itinerary-synthesizer-skill ↗
Universal Agentic Travel & Multi-Leg Hospitality Itinerary Synthesizer (inspired by Meta Muse, Expedia, Booking). Translates natural language vacation and business travel goals into multi-leg flight segments, lodging selection, layover time buffers, baggage fee optimization, and consolidated reservation manifests.
- GitHub · Repository created · First archived
alphaparkinc/genpark-agentic-travel-multi-leg-itinerary-synthesizer-skill ↗
Universal Agentic Travel & Multi-Leg Hospitality Itinerary Synthesizer (inspired by Meta Muse, Expedia, Booking). Translates natural language vacation and business travel goals into multi-leg flight segments, lodging selection, layover time buffers, baggage fee optimization, and consolidated reservation manifests.
- arXiv · Published · First archived
SceneJail: Exploiting Video Scenario Context to Jailbreak Multimodal LLMs ↗
Video Multimodal Large Language Models (Video-MLLMs) support reasoning over video inputs, yet remain vulnerable to jailbreak attacks that elicit policy-violating responses. Existing video jailbreaks primarily manipulate how harmful queries are visually presented, thereby treating video merely as a carrier. Consequently, the surrounding video scenario remains unexplored as a contextual attack surface. In this paper, we show that the same harmful query can elicit different safety responses when placed in different video scenarios. To systematically exploit this vulnerability, we propose SceneJai…
- GitHub · Repository created · First archived
emiralpayar/dashcall ↗
Talk to your Claude Code sessions from your phone or your car's browser — voice & touch, English/Turkish
- Hacker News · Posted on Hacker News · First archived
Ask HN: How do you handle hitting AI coding agent usage limits? ↗
One topic I've been researching lately is the best way to handle switching to another agent when I hit a usage limit on one of them. For example, if I hit the usage limit on Codex, I would want to switch to Claude Code and vice versa. The important part is not losing the ongoing context/task(s) when switching between the tools.. I have found a few things that say they do this but none seem to have much traction. As a result, I was hoping to pick…
- arXiv · Published · First archived
Toward Quantum Software Automation: A Quantum-Aware Harness for LLM-Guided Evolution ↗
Quantum software is critical for improving the efficiency and reliability of scarce quantum hardware. However, its design still relies heavily on ad-hoc, handcrafted heuristics that are often suboptimal and quickly become obsolete as quantum hardware evolves. LLM-guided evolutionary search offers a promising way to automatically explore complex software designs, but existing search frameworks lack the quantum-specific support needed for efficient evolution: verification is expensive, feedback is sparse, and heterogeneous quantum programs require different optimization objectives. In this paper…
- Hacker News · Posted on Hacker News · First archived
PSSA: A non-transformer language model written from scratch in Rust ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Astroforge will fly a spacecraft autonomously using AI next year ↗
Hacker News discussion.
- arXiv · Published · First archived
SparLeak: Privacy Leakage from Sparse Attention in LLM Inference on Shared GPUs ↗
Sparse attention is widely used to accelerate long-context inference in modern large language models (LLMs), but its input-dependent execution behavior introduces previously unexplored privacy risks. We identify a new GPU micro-architectural side channel, termed Sparsity-Induced Memory Access (SIMA), which arises from secret-dependent key-value cache access patterns induced by sparse attention. Based on this observation, we present SparLeak, a phase-aware side-channel attack that extracts SIMA traces during LLM inference and enables two practical privacy extractions: query attribute inference…
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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