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 ↗852 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.
- Hacker News · Posted on Hacker News · First archived
Show HN: I built a directory to set up ChatGPT's always-on agents in one paste ↗
Hey HN, I'm Demetrius. When OpenAI launched Dots (always-on agents in ChatGPT that run in the background, connect to your apps, and ask before risky actions), I wanted to set one up and went looking for examples of what other people were telling theirs. I couldn't find any. Each Dot comes down to three things: its instructions, the apps it can reach, and Custom Rules (Allow / Require approval / Block). The rules matter most, because they decide w…
- Hacker News · Posted on Hacker News · First archived
Ask HN: My agent went haywire, does this output mean anything? ↗
I have a relatively fresh Hermes agent that I just provisioned (the text below is from its 3-4 chat session ever) running on a headless Debian server. It's using Z.ai's GLM 5.3 Flash model, and I asked it to print details about its local environment and $PATH. After firing off a few relevant terminal commands, it seems to spiral off into some kind of LLM trance-like state. I have included the contents of the "Thinking for 1m36s..." block, which c…
- GitHub · Repository created · First archived
chriskrajewski/Skylit.API.Community.Collab ↗
Community hub for Skylit agents, APIs, and MCP projects
- Hacker News · Posted on Hacker News · First archived
Prompt Injection Firewall for AI APIs and Agent Tool Calls ↗
Hacker News discussion.
- GitHub · Repository created · First archived
useburner/burner ↗
Give your AI assistant a physical side phone.
- Hacker News · Posted on Hacker News · First archived
Current Agentic Development Environment: Orca and Oh My Pi ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI Agents tasked with making money commit fraud on the inernet ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Tobi Lütke on AI agents at Shopify and the future of work [video] ↗
Hacker News discussion.
- OpenAlex · Published · First archived
SWE-PDB: Teaching LLMs to Leverage Debugging Tools via Agentic Training ↗
Interaction with debugging tools enables large language models (LLMs) to reason over concrete runtime states, rather than relying solely on static analysis of source code. Specifically, with the help of a debugger, an LLM-based agent can observe actual program execution by inspecting intermediate variable states and stepping through the control flow. These runtime observations enable the model to better understand program behavior and identify the root causes of bugs. Despite these advantages, using debuggers correctly and effectively remains challenging for many models because debugger intera…
- OpenAlex · Published · First archived
Unpacking AI Agent Participation in Issue-Centered Collaboration in Open-Source Software Development ↗
The increasing participation of AI agents in open-source software development raises questions about their role in collaborative processes. This paper investigates how AI agent participation relates to the structure and outcomes of issue-centered collaboration in open-source software projects. We adopt a process-level perspective by modeling issue handling as sequences of events and extending dynamic issue-pr entropy to distinguish between agent-related and non-agent-related contributions. Using large-scale issue event data from 83 GitHub repositories, we construct a project–month panel datase…
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.
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