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Feature
Evaligo Benchmark Compares Open and Closed LLMs in Writing Dating Bios
The Evaligo benchmark tests DeepSee's open-source models against OpenAI's closed GPT-5.6 Luna.
Why it mattersThe Evaligo benchmark highlights a shift towards evaluating AI models based on openness, transparency, and customization. This trend suggests a growing preference for adaptable AI solutions over closed, proprietary systems, impacting future AI tool choices.
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Around the Web
AI Mental Models in Crisis
AI Agents Everywhere
Top Hacker News discussion.
github
Shipped an internal agent tool. Then three more teams wanted it. Building one AI agent for yourself is a weekend project now. Getting it to a point where three other teams can use it safely, without you personally confi…
r/nocode
Tools
Trending AI model on Hugging Face — sentence-similarity.
🤗huggingface
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
github | stars 133,222
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base S…
github | stars 35,277
Build
Top Hacker News discussion.
academy.dair
Cost reduction isn’t a given. It also depends on the types of requests the application receives, the price difference between models, and how well the routing system performs. In this article, we are going to look at va…
blog.bytebytego
Research
Agent harnesses (the system prompt, tool set, execution hooks, and context-management scaffolding around a model) are a critical determinant of agentic task success. Automated harness evolution can enable smaller models…
arxiv
In this work, we present Gander, an end-to-end model that unifies omni perception, realtime interaction, and agentic capabilities within a single framework. In contrast to turn-based conventional paradigms, Gander conti…
arxiv
Whether a language model looks demographically biased can depend on how the audit asks its question. A charitable-aid benchmark reports that the same models favor minority applicants when rating requests one at a time a…
arxiv
Playbooks
Learn how Connections in Managed Deep Agents securely manage credentials, support per-user OAuth, and let agents act with each caller’s identity.
langchain
What we learned from three iterations of a performance engineering take-home that Claude keeps beating.
anthropic
Deep dive into self-improving evaluators in LangSmith, motivated by the rise of LLM-as-a-Judge evaluators plus research on few-shot learning and aligning human preferences.
langchain
News
TorchServe is no longer maintained, leaving teams to own the entire GPU inference stack. The AWS Ray Serve Deep Learning Container is a supported, pre-tested container with the framework, GPU drivers, and serving layer…
aws.amazon
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.
kitploit
Learn how Heurist built Heurist Finance, a conversational AI investment workbench, on Amazon Bedrock AgentCore. This customer story shows how AgentCore payments, Identity, Memory, Code Interpreter, and Observability let…
aws.amazon