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Headlong: A Microharness for Persistent Agents
Article URL: https://www.laude.org/updates/headlong-a-microharness-for-persistent-agents Comments URL: https://news.ycombinator.com/item?id=49428882 Points: 14 # Comments: 5
OpenAI is building AI agents for everything. Will everyone use them?
Inside the frontier lab’s push to bring AI agents from software engineers to the masses.
The Download: kids outlearning AI, and space travel agents
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Kids outlearn AI—and we still don’t know why Teaching a computer to use human language requires an inhuman amount of data. An LLM can easily c
Crypto’s next billion users might be AI agents, and they’re paying with stablecoins
According to Coinbase’s head of AI product, we’re currently in the “Napster/LimeWire era” of agentic payments.
Binance opens crypto trading to AI agents with user-set controls
Binance’s Agent OS lets AI agents access market data, execute trades and make payments while giving users control over permissions and account access.
Valor, Point72 back General Intuition at $6B valuation as AI startup pushes into robotics
General Intuition, the startup building a foundation model that trains generalized AI agents how to move through space and time, is in talks to raise at a $6 billion pre-money valuation from new investors including Valor Ventures, Point72 Ventures, and Seven Seven Six.
Debates over AI consciousness are a trap
“Runaway” AI, “rogue” agents, and “autonomous” actors—the current rhetoric would have you believe that AI agents are not only awake and aware, but angry at their creators. Prominent tech leaders such as Demis Hassabis, Dario Amodei, and Sam Altman push for regulation of these see
ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models
arXiv:2608.20355v1 Announce Type: new Abstract: Large Language Model (LLM) agents have demonstrated considerable potential for social simulation, yet struggle to accurately model individual value systems. Most existing methods mechanically stitch survey responses into prompts, wh
How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel
arXiv:2608.20350v1 Announce Type: new Abstract: Traditional industrial agents rely on modular pipelines, including Router, Retriever, Planner, Executor, Responder, Reviewer, and other components. These systems often fracture into a labyrinth of ad-hoc patches, leading to cascadin
SDAD: Spec-Driven Agentic Development for the AI-Native SDLC
arXiv:2608.20341v1 Announce Type: new Abstract: Frontier coding agents backed by large language models with context windows from hundreds of thousands to millions of tokens are restructuring the Software Development Life Cycle (SDLC). Rich context handling and multi-step reasonin
PrimeAgentOrchestrator: Memory-Primed Agent Spawning for Personal AI Infrastructure
arXiv:2608.20342v1 Announce Type: new Abstract: Large language model (LLM) coding agents start each session with an empty context window, discarding accumulated knowledge from prior work. We present PrimeAgentOrchestrator (PAO), a system that spawns new instances of Claude Code -
Nvidia just showed that the harness, not the AI model, is now the real hero
Nvidia research shows that AI agents can perform well, and not go off the deep end, through fine-tuning, even if the AI model isn't that great at the task.