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Hacker News
Top stories from the Hacker News community• Updated 5 minutes ago
Why FedRAMP Authorization and CMMC Level 2 Are Now Table Stakes for GovCon AI
InfoQ
Latest articles from InfoQ• Updated 17 minutes ago
QCon AI NY 2025 - Becoming AI-Native Without Losing Our Minds To Architectural Amnesia
Tracy Bannon's QCon AI NY 2025 talk revealed how the rise of AI agents risks amplifying common architectural failures. She emphasized the distinctions between bots, assistants, and agents, highlighting the need for governance, clear identity controls, and disciplined decision-making to address “agentic debt.” Bannon called for architects to apply foundational principles amid rapid AI adoption. By Andrew Hoblitzell
How Artificial Intelligence Can Help Us Connect with Customers
In software development, success means going beyond meeting requirements. We must create products that surprise and delight users and are innovative, create impactful solutions, Ken Hughes said in the keynote “Connection is Everything”. AI can help us connect with customers and create better user experiences. By Ben Linders
Cactus v1: Cross-Platform LLM Inference on Mobile with Zero Latency and Full Privacy
Cactus, a Y Combinator-backed startup, enables local AI inference to mobile phones, wearables, and other low-power devices through cross-platform, energy-efficient kernels and a native runtime. It delivers sub-50ms time-to-first-token for on-device inference, eliminates network latency, and defaults to complete privacy. By Sergio De Simone
Presentation: Ecologies and Economics of Language AI in Practice
Jade Abbott discusses the shift from massive, resource-heavy models to "Little LMs" that prioritize efficiency and cultural sustainability. She explains how techniques like LoRA, quantization, and GRPO allow for high performance with less compute. By sharing the "Ubuntu Punk" philosophy, she shares how to move beyond extractive data practices toward human-centric, sustainable AI systems. By Jade Abbott
OpenAI and Anthropic Donate AGENTS.md and Model Context Protocol to New Agentic AI Foundation
OpenAI and Anthropic have donated their AGENTS.md and Model Context Protocol projects to the Agentic AI Foundation (AAIF), a new directed fund under the Linux Foundation. Block contributed their agent framework, goose, as another founding project, and several other tech companies have joined as Platinum members. By Anthony Alford
Pinecone Introduces Dedicated Read Nodes in Public Preview for Predictable Vector Workloads
Pinecone recently announced the public preview of Dedicated Read Nodes (DRN), a new capacity mode for its vector database designed to deliver predictable performance and cost at scale for high-throughput applications such as billion-vector semantic search, recommendation systems, and mission-critical AI services. By Craig Risi
Target Improves Add to Cart Interactions by 11 Percent with Generative AI Recommendations
Target has deployed GRAM, a GenAI-powered accessory recommendation system for the Home category, using large language models to prioritize product attributes and capture aesthetic cohesion. The system helps shoppers find compatible accessories, integrates human-in-the-loop curation, and achieved measurable improvements in engagement and conversion. By Leela Kumili
Toad: A Unified CLI Tool for All Your LLMs That Promises Improved UX From Existing Ones
During his sabbatical, Will McGugan, maker of Rich and Textual( frameworks for making Textual User Interfaces (TUI)), put his UI skills to work to build Toad. The newly publicly released tool aims to provide a unified, “beautiful” GUI for multiple coding agents in your terminal, accessible via the same tool via the Agent Communication Protocol (ACP). By Olimpiu Pop
Neptune Combines AI‑Assisted Infrastructure as Code and Cloud Deployments
Now available in beta, Neptune is a conversational AI agent designed to act like an AI platform engineer, handling the provisioning, wiring, and configuration of the cloud services needed to run a containerized app. Neptune is both language and cloud-agnostic, with support for AWS, GCP, and Azure. By Sergio De Simone
Top posts from tech subreddits• Updated 17 minutes ago
LLVM considering an AI tool policy, AI bot for fixing build system breakage proposed
New 1B parameter open-source coding model getting 76% on HumanEval [shameless but proud self-plug]
Hugging Face Trending
Popular models from Hugging Face• Updated 17 minutes ago
GitHub Trending
Popular repositories from GitHub• Updated 32 minutes ago
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
inngest
The leading workflow orchestration platform. Run stateful step functions and AI workflows on serverless, servers, or the edge.
qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
qlib
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
khoj
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.