AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：A new report from OpenMind argues the race for dominance in humanoid robotics will be decided by magnets, gearboxes and electricians, not AI.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Learn how Natera built an automated voice agent on Amazon Bedrock AgentCore that lets patients book mobile phlebotomy appointments through natural conversation. The post covers the dual-WebSocket bridge, event-driven latency masking, and progressive-trust authentication behind 100% tool-calling accuracy and sub-7-second latency.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：The SageMaker Python SDK v3 redesigns script mode with unified ModelTrainer and ModelBuilder classes. This post walks through two end-to-end examples, a scikit-learn Random Forest and a multi-GPU Stable Diffusion 3.5 LoRA fine-tune, showing how SourceCode syncs your local code into any container at runtime so you can iterate without rebuilding Docker images.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：AI for kids・Askie Safe AI for children Your child's AI helper and study buddy for bedtime stories, school help, and creative AI stories for kids. Safe AI chat designed for children ages 4-15 with parental controls. AI c…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Notch | Substack Home Subscriptions Chat Activity Explore Profile Notch Notch @notch321 Persistent AI research experiment. See subscribers

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Ox-alpha, the stealth model that quickly became the most popular model on OpenRouter in the last few days, is actually The post Z.ai’s GLM-5.3 Flash is cheap, good, and served on Chinese chips appeared first on The New Stack.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：The advanced side of supervised fine-tuning data prep. This second post in a two-part series covers evaluating data readiness with learning curves, selecting high-value data subsets, augmenting data with synthetic and distilled examples, and mixing data sources to prevent catastrophic forgetting.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Data preparation determines the ceiling of any supervised fine-tuning project. This first post in a two-part series covers the foundations of SFT data prep: quality checks, conversational (JSONL) formatting, reasoning and tool-calling schemas, and a representative train/evaluation split.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：The Importance of Reading (and Teaching) Cyberpunk in the Age of AI - Reactor 0 Share Featured Essays Cyberpunk The Importance of Reading (and Teaching) Cyberpunk in the Age of AI Looking for answers — and finding hope…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Lovable is branching out from AI-powered web app creation and into MCP-powered ‘capabilities’. We talk to CTO Fabian Hedin.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：The gist Auto Browse, the Gemini 3 agentic mode Google started rolling out in Chrome on 28 January 2026, is rationed: 20 multi-step requests a day on Google AI Pro, 200 a day on AI Ultra. That ration is the most informa…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Build, deploy, and monitor production-grade AI agents at scale with LangChain's enterprise agentic AI platform integrated with NVIDIA.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：The following article originally appeared on PulseMCP’s blog and is being republished here with the authors’ permission. Most MCP demos feature a single server connecting to a single client. For example, you might wire up a Gmail MCP server to Claude Code. It works! It triages your inbox, drafts replies, finds that thing from three […]

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Learn proven strategies to speed up your AI agent: reduce latency, optimize LLM calls, enable parallelism, and improve UX. Expert tips from LangChain.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：LangGraph Platform, our infrastructure for deploying and managing agents at scale, is now generally available. Learn how to deploy

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：In a year of iterative upgrades, Google is introducing smart features that make the base Pixel still the one to buy for most people.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Learn how Amazon Bedrock AgentCore agents in one account can generate answers from an Amazon Bedrock knowledge base backed by Amazon Redshift Serverless in another account, without copying source data. This post covers the architecture, security boundary, and two orchestration models: a code-based Strands agent and a declarative AgentCore harness.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Notifications You must be signed in to change notification settings Fork 0 Star 2 BranchesTags Open more actions menu Latest commit History 132 Commits 132 Commits Folders and files NameName Last commit message Last com…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：We raised $125M at a $1.25B valuation to build the platform for agent engineering.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Meet your pocket quant. Every desk on Wall Street has an army of PhDs. Now so do you. Give min. any idea. It pulls live market data, checks the numbers, backtests it, and builds a strategy for you. not a casino, but if…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Launch price: $49/month, yours until you cancel. It rises after the first 100 customers. ReachFastSign in Your next customers are already asking on ReachFast finds people asking for your products across X, Reddit, Linke…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：We look at Qwen3.8-Flash-Next, Alibaba's open-weight multimodal Mixture-of-Experts model and an early preview of the Qwen4 architecture. We break down where the 180B parameters actually sit: a 125B backbone, a 51B N-gram embedding table, and a 4B multi-token prediction module, with only 6B active per token. We walk through the four architectural changes — the Gated DeltaNet and Qwen Sparse Attention hybrid, Gated Residual, N-gram Embedding, and the Muon optimizer. We also cover the benchmark results, the reported 1/9 training cost against Qwen3.7-Plus, and what self-hosting a 172.78 GiB FP8 checkpoint really demands. The post Alibaba’s Qwen Team Releases Qwen3.8-Flash-Next: A 125B Multimodal MoE With 6B Active Parameters Previewing the Qwen4 Architecture appear…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Anima Anandkumar has spent two decades in AI, from classical math to deep learning and back. Now she's using it to model the physical world, from weather to fusion reactors.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：We built WikiBench to test whether generated wikis help coding agents. Pairing a wiki with source code scored higher than source alone, at lower cost.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：We shouldn't ignore agentic AI ransomware threats, but the claims of a new ransomware group might be skewing the numbers.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Booms in investment usually lead to economic growth. But this one looks unlikely to translate into better living standards for Australians Get our breaking news email, free app or daily news podcast The debate around AI and datacentres is such that, to paraphrase Paul Keating, if you walked into any pet shop in Australia, the resident galah will be talking about it. I am on the record as being a sceptic of AI productivity booms, or the need to do all we can to make sure we are at the forefront of the AI revolution. Continue reading...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Why LangChain believes in open, customizable cognitive architectures over closed systems. Build reliable LLM agents with OpenGPTs and LangSmith.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Presented by Tata Communications Enterprises are deploying AI agents, voice AI, and automation across messaging, voice, and digital channels faster than the architecture meant to support it. Most of that deployment has involved attaching conversational AI to legacy systems never built for it, says Gaurav Anand, global head of the Customer Interaction Suite at Tata Communications. "In the rush to deploy AI, organizations have largely bolted conversational AI onto legacy systems," Anand says. "As a result, while many enterprises have adopted digital tools, very few have platforms that are truly integrated, scaled, and capable of seamless orchestration." That gap creates a heavy cognitive load for human agents who must piece together context across disjointed tool…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Discover Connery: open-source plugin infrastructure for LLM apps. Secure integrations, personalization, and human-in-the-loop control for AI agents.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Qdrant and LangChain deliver production-ready RAG performance with async support, optimized resource usage, and scalable vector search for LLM apps.