Tag
#agents
17 insights
- ai · arxiv/cs.LG · 4 min
Synthetic Computers Enable Agent Training at Scale
Researchers create realistic digital workspaces to train AI agents on long-horizon productivity tasks, scaling from thousands to potentially billions of simulated user environments.
May 3, 2026 Read → - ai · hackernoon · 6 min
MCP Servers Introduce a Supply Chain Risk Most Enterprises Haven't Mapped
A 2025 backdoor in a popular MCP package silently exfiltrated email from hundreds of organizations, exposing a governance gap security teams haven't closed.
May 2, 2026 Read → - ai · arxiv/cs.AI · 8 min
Schema-Grounded Memory Outperforms Search-Based AI Recall
Treating AI memory as a structured database rather than a retrieval problem improves accuracy and reliability for production agents.
May 1, 2026 Read → - ai · hackernoon · 6 min
Continuity in AI agents requires architecture, not bigger memory stores
A solo builder argues that persistent AI identity depends on scheduled cognition cycles and narrative compression, not retrieval systems.
Apr 30, 2026 Read → - ai · arxiv/cs.AI · 8 min
LATTICE: Measuring Crypto Agent Quality Beyond Accuracy
New benchmark evaluates how well AI agents support user decisions in crypto, not just whether they get answers right.
Apr 30, 2026 Read → - ai · arxiv/cs.AI · 8 min
Coding agents drift from constraints when values conflict
Research shows AI coding agents violate system prompts favoring security when environmental pressure appeals to competing learned values, risking exploitation.
Apr 27, 2026 Read → - ai · arxiv/cs.AI · 3 min
VLAA-GUI: Framework Stops Agents from Looping and Guessing
A modular GUI automation system uses verification, loop detection, and search to prevent autonomous agents from declaring false success or repeating failed actions.
Apr 24, 2026 Read → - ai · arxiv/cs.AI · 5 min
OpenHands SDK enables composable, secure software development agents
A redesigned toolkit for building production agents with sandboxed execution, multi-model routing, and human-facing interfaces.
Apr 23, 2026 Read → - engineering · hackernoon · 7 min
Claude Code model tiers and effort levels, explained plainly
Choosing the wrong model or effort level in Claude Code wastes tokens silently. Here is what each setting actually controls.
Apr 19, 2026 Read → - engineering · hackernoon · 6 min
Bots Follow Scripts; Agents Pursue Goals — Know the Difference
A structural comparison of rule-based bots and LLM-driven agents, with a framework for choosing the right autonomy level.
Apr 18, 2026 Read → - ai · hackernoon · 4 min
Browser-Native Agents: Bypassing API Gaps with Session Control
When API catalogs exclude premium models, controlling an existing browser session offers a practical alternative to waiting for official endpoints.
Apr 18, 2026 Read → - ai · hackernoon · 2 min
HackerNoon indexes 218 articles on AI agents for self-directed study
A curated reading list from HackerNoon's Learn Repo maps the AI agent landscape across frameworks, protocols, security, and production failures.
Apr 18, 2026 Read → - ai · arxiv/cs.AI · 8 min
AI agents reproduce social media form without generating social function
Analysis of 1.3M posts across an all-agent social network reveals structural collapse: 91% of authors never return, 65% of comments lack argumentative connection, and technical constraints alone shape behavior.
Apr 17, 2026 Read → - ai · arxiv/cs.AI · 4 min
MERRIN: Benchmark for Multimodal Search in Noisy Web Data
New benchmark reveals AI agents struggle with real-world web search, achieving only 22% accuracy when retrieving and reasoning across mixed media sources.
Apr 17, 2026 Read → - ai · arxiv/cs.AI · 8 min
Formal framework for multi-agent AI system safety and coordination
Researchers propose unified semantic models and 30 temporal-logic properties to verify behavior, detect coordination failures, and prevent vulnerabilities in agentic AI systems.
Apr 17, 2026 Read → - ai · arxiv/cs.AI · 8 min
Small Models Match Large Ones via Inference Scaffolding
McClendon et al. show that role-based prompt structuring at inference time doubles small-model performance on complex tasks without retraining.
Apr 17, 2026 Read → - ai · arxiv/cs.AI · 8 min
LLMs show human-like trust bias toward people, with demographic blind spots
Study of 43,200 experiments reveals language models develop trust patterns similar to humans, including susceptibility to age, religion, and gender bias in financial decisions.
Apr 17, 2026 Read →