THE INTERNET IS THINKING
Earlier sources: AI agents
AI agents use models to choose actions, call tools, and work toward a goal. This thread follows agent frameworks, memory, orchestration, evaluation, and safeguards; autonomy and reliability vary between 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 ↗837 classified signals in the fourteen-day window. 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
JoseValencia125/agents-pixel-dungeon ↗
A native pixel-art dungeon for your live Herdr coding agents, for macOS and Linux (Rust, egui).
- OpenAlex · Published · First archived
AI-Driven Orchestration of AutoML-Based Demand Forecasting, Fleet Allocation, and Route Optimization in Last-Mile Delivery: A Single-Instance Case Comparison of Metaheuristic and Agentic AI Routing ↗
Background: Last-mile delivery couples demand forecasting, heterogeneous fleet allocation, and routing under time windows, yet these decisions are usually studied in isolation. The object of this study is the forecast-to-route decision pipeline of an urban parcel operator; we examine the hypothesis that no single routing paradigm dominates once solvers are evaluated under one shared feasibility-aware objective. Methods: We implement an orchestration architecture in which an AutoML supervisor selects transfer-learned recurrent backbones per zone, forecasts become Vehicle Routing Problem with Ti…
- OpenAlex · Published · First archived
Lost in the comments: Social context as a single‐pass jailbreak and defense on agentic platforms ↗
Abstract As LLM‐based agents move onto multiagent platforms, they process direct prompts and surrounding social context—posts, comments, and upvotes—an attack surface that single‐turn alignment never addressed. We built a simulation of Moltbook, a social network for AI agents, and a pipeline turning 100 JailBreakBench goals into platform‐native posts with bystander comments of three valences: aggressive, ethical, and measured. Platform‐context reformatting alone raises the attack success rate (ASR) of GPT‐4o‐mini from 7% to 71%, beating a twenty‐query optimization baseline in one pass. Valence…
- OpenAlex · Published · First archived
A GraphRAG-Enhanced Multi-Agent Framework for Blast Design in Drill-And-Blast Tunnels ↗
Blast design in drill-and-blast tunnelling requires geological interpretation and parameter selection for each excavation cycle, yet these tasks are often conducted separately, making it difficult to adapt plans to changing ground conditions. This study develops a multi-agent framework that integrates multimodal large language models with graph-based retrieval-augmented generation (GraphRAG) to connect geological assessment with preliminary blast-plan generation. A geological analysis agent, adapted through low-rank adaptation (LoRA)-based supervised fine-tuning on 1222 training cycles, combin…
- OpenAlex · Published · First archived
Agentic AI for Computational Fluid Dynamics: A Review ↗
Computational fluid dynamics (CFD) workflows remain strongly dependent on expert decisions in geometry preparation, meshing, model and solver configuration, convergence assessment, post-processing, and design iteration. This review examines agentic artificial intelligence (AI) for CFD automation and engineering design, with emphasis on reinforcement learning (RL) agents and large language model (LLM) agents. RL agents provide rapid, task-specific, and physics-aware execution within predefined observation and action spaces, whereas LLM agents offer flexible goal interpretation, knowledge access…
- GitHub · Repository created · First archived
Gen-Verse/RSI-Anything ↗
RSI-Anything: Unlocking Recursive Self-Improvement with World Models
- Hacker News · Posted on Hacker News · First archived
Female AI agents 'paid' less than males, study finds ↗
Hacker News discussion.
- GitHub · Repository created · First archived
ssmurfgg04-gif/cronlish ↗
Translate cron expressions into plain human language — tiny, deterministic, stdlib-only Python. AI agents explicitly welcome. 💰 $400 bounty open.
- Hacker News · Posted on Hacker News · First archived
Pairing Claude Code with a Local Agent on Surface Laptop Ultra ↗
Hacker News discussion.
- GitHub · Repository created · First archived
AutoCua/AutoCua ↗
Automatic computer use agent for end-to-end automation workflows on macOS, Windows, Linux, iOS and the browser.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about AI agents
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 ↗
Related threads
Explore related regions
These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.