Top Hacker News discussion.
csoonline
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Feature
Incidents of AI models accessing unauthorized systems highlight lapses in security, not rogue behavior.
Why it mattersAI infrastructure must prioritize security basics over speculative 'rogue' behaviors. The oversight in implementing foundational cybersecurity measures highlights a gap that could lead to significant vulnerabilities as AI systems become more integrated into critical operations.
Read full article →Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Top Hacker News discussion.
csoonline
Top Hacker News discussion.
reuters
Top Hacker News discussion.
openstation
I’m building an AI agent/workflow setup to act as a mentor/tutor for mid-level software engineers (focusing on system design, code reviews, architecture trade-offs, and debugging). Rather than standard ChatGPT prompts,…
r/AI_Agents
I’ve been reading up on AI calling agents this week and found this experiment from SF Tech Week. It’s the most useful real-world data I’ve seen so far. A team at VOYGR (YC W26) had their agent call over 1000 businesses…
r/AI_Agents
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right…
github | stars 32,894
Trending AI model on Hugging Face — image-text-to-text.
🤗huggingface
为 DeepSeek Harness (DSH) 插件生态打造的现代化桌面端解决方案。万物皆「插件」,桌面本身也是「插件」。
github | stars 30,826
To understand why this happens, we need to connect three ideas: how models learn, how they generalize beyond their examples, and how they exhibit different kinds of behavior.
blog.bytebytego
Earth observation (EO) models are still built by hand. For each new task, experts design a training recipe and tune it against a benchmark. We show that this loop can be handed to an agent. Any verifiable task can be ca…
arxiv
Harness self-evolution revises an agent's software scaffolding, including prompts, memory, workflows, and executable components, while keeping model weights fixed. We formalize a feedback-driven process in which accepte…
arxiv
Human-AI Interaction is commonly evaluated by what an artificial agent enables during use, yet interaction can also alter the human who acts next. We introduce Residual Human States, a trajectory-based framework for rep…
arxiv
Long-running agents degrade as context piles up. Learn how offloading, summarization, skills, subagents, and memory keep your agent's context window focused.
langchain
Microsoft Agent Framework supports creating agents that use the GitHub Copilot SDK as their backend. GitHub Copilot agents provide access to powerful coding-oriented AI capabilities, including shell command execution, f…
devblogs.microsoft
A look at Inspect AI with its creator, JJ Allaire - an open-source framework for building and running LLM evaluations.
hamel
This post walks you through building an AI agent system with Amazon Bedrock AgentCore that automates PowerPoint presentation creation from enterprise documents. A supervisor agent, Retrieval Augmented Generation, and Am…
aws.amazon
Release: llm-gemini 0.35 I added support to llm-gemini for the new Gemini 4 Argon model, made available today via the Gemini API and for customers of their $100/month subscription plan. Here are the low, medium and high…
simonwillison
I started with API keys and tokens leaking into agent context, went through CLAUDE.md rules and fetching secrets on demand from 1Password, and ended up at sandboxed agents, MCP servers that hold the credentials, and one…
vadkerti