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Moonshot AI released the weights for its Kimi K3 model with 2.8 trillion parameters and a 1M token context window under a new Kimi K3 License, which allows inference providers like Modal, Baseten, Fireworks, DigitalOcean…
The Trump administration is signaling it could ban cutting-edge Chinese AI models, a move that critics say mirrors the corrupt, xenophobic protectionism behind the TikTok ban and aims to lock in dominance by OpenAI and A…
An MCP server is a program that exposes data, tools, and actions to AI agents through the Model Context Protocol, an open specification developed by Anthropic and released in late 2024. It allows AI agents like Claude an…
A developer released an open-source AI shopping assistant called Lee-AI that integrates an avatar cursor to guide website visitors. The tool, available via GitHub under an MIT license, can talk, point at products, and di…
Comfy UI CEO Yoland Yan announced that the platform’s node-based interface provides precise control and reproducibility for AI image generation, positioning it as an industry-standard tool adopted by Netflix and VFX hous…
HackerRank open-sourced its AI résumé screener, hiring-agent, revealing that the same résumé scores between 66 and 99 across runs due to LLM nondeterminism, not parsing errors. The volatility means a candidate can pass o…
Amazon Web Services has released official Model Context Protocol (MCP) servers for Amazon Aurora MySQL, Aurora PostgreSQL, and Aurora DSQL, enabling natural language database queries and administration. The servers conve…
Jackrong released an open-source knowledge base for LLM fine-tuning, dataset distillation, reinforcement learning, and local deployment. The guide provides reproducible training pipelines, SFT and RL workflows, data prep…
Nous Research's open-source Hermes Agent, using Mixture of Agents presets, outperformed Anthropic's Claude Opus 4.8 and OpenAI's GPT-5.5 on SWE-bench Pro benchmarks. The framework strings multiple language models togethe…
Haystack, an open-source AI orchestration framework by deepset, uses explicit directed acyclic graphs (DAGs) instead of implicit chains to build production-ready RAG systems. Its modular, serializable architecture enable…
Nvidia CEO Jensen Huang defended Chinese AI models and rejected calls to ban them, telling Axios that American companies should "absolutely" be allowed to use Chinese open-source models. Huang argued that cheaper, open m…
People often must act against their personal ethics due to societal pressures, practical constraints, or imperfect circumstances, using examples like using Meta-owned WhatsApp or occasionally eating meat. It then critiqu…
Magnus, a former SVP of Engineering at Lark and VP Engineering at Strive Health, is now Chief Tentacle Officer at Groktopus LLC, writing about AI and the future of work. He has been actively developing open-source AI too…
Qualcomm acquired Modular for $3.9 billion in stock, gaining its Mojo programming language and MAX inference platform to challenge NVIDIA's CUDA dominance. The deal, expected to close in the second half of 2026, aims to …
Moonshot AI released the model weights and technical report for Kimi K3, a 2.8-trillion-parameter Mixture-of-Experts model with native visual understanding and a 1-million-token context window, along with open-sourced in…
Anthropic released Claude Sonnet 5, a cheaper and faster version of Opus 4.8, while the industry awaits more advanced models like Claude Fable 5 and GPT-5.6-Sol. The article also discusses AI regulation, noting that the …
A developer created Moji, an open-source desktop application that opens Markdown files with the same convenience as PDFs, rendering them immediately without requiring a code editor. The tool, available for Windows, macOS…
University of Maryland researchers developed HumanEgo, a method enabling bimanual robots to learn manipulation tasks from just 30 minutes of human egocentric video without any robot data, achieving a 92.5% success rate a…
Grafana Labs competes directly with Datadog by charging across five usage meters—metrics, logs, traces, profiles, and k6 load tests—while marketing against Datadog's opaque overage bills. The company offers a generous fr…
LLM red teaming is an adversarial testing methodology that intentionally provokes large language models into producing incorrect, biased, harmful, or insecure outputs to identify vulnerabilities before deployment. The pr…