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来自 105 个可信来源,最近更新 2026-08-27 01:22 UTC+8。

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待翻译:Reviewing AI Media: "Everything That Hurt You" by Eliezer Yudkowsky

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:John Q. Pulp Aug 26, 2026 This is the first in an irregular series in which I plan to round up examples from the current state of AI-generated media. The reviews will take the highest form of critique: extreme nitpickin…

Hacker News AI工具站内正文
待翻译:#1 on BABILong at 10M, our own gaming audit published

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:A deep dive into a living memory's forward pass - Sapience Labs Sapience Labs · technical deep dive · August 2026 A deep dive into a living memory's forward pass What actually happens when one AI session w…

Hacker News AI研究 / 创业融资站内正文
待翻译:Google’s new AI transcription edits out your ‘ums’ and ‘ahs’

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Google has updated Gemini Audio with some new Gemini 3.5 models, introducing new transcription capabilities that automatically detect specialized jargon and more than 85 languages. Gemini 3.5 Live, 3.5 Live Experimental, and 3.5 Transcribe are designed to provide better precision for Google's voice-controlled AI features, without struggling with background noise or when your speech is interrupted. Gemini 3.5 Transcribe is a completely new addition to the Gemini family, and its introduction comes as we're still waiting for Google to release the Gemini 3.5 Pro model that it promised to roll out in June. Google says that 3.5 Transcribe "repres … Read the full story at The Verge.

The Verge AI模型站内正文
待翻译:Claude Desktop can now easily run Qwen, DeepSeek and Kimi models — after Ollama’s first effort stalled

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Open-weight model runner Ollama has reintroduced an integration with Claude Desktop that lets users connect Anthropic’s app to models served The post Claude Desktop can now easily run Qwen, DeepSeek and Kimi models — after Ollama’s first effort stalled appeared first on The New Stack.

The New Stack AIAgent / 模型 / 创业融资站内正文
待翻译:LangChain State of AI 2024 Report

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Dive into LangSmith product usage patterns that show how the AI ecosystem and the way people are building LLM apps is evolving.

LangChain BlogAgent / 模型 / 研究站内正文
待翻译:LangChain's Second Birthday

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Reflections on how LangChain has evolved — including our products, ecosystem, and community — over the past two years, and where we're headed next.

LangChain BlogAgent / 研究站内正文
待翻译:How GoDaddy transformed its analytics with Amazon Quick

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:In this post, you will learn how GoDaddy migrated from their legacy business intelligence (BI) tool to Amazon Quick. This was a two-year transformation that delivered results across every dimension of the business: 15,000 hours saved annually, 50% reduction in dashboard count, rendering times cut to under 5 seconds, and AI-powered self-service analytics now accessible to every employee.

AWS Machine Learning BlogAgent / 研究站内正文
待翻译:China's Humanoid Edge Is Hardware, Not AI

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:A new report from OpenMind argues the race for dominance in humanoid robotics will be decided by magnets, gearboxes and electricians, not AI.

AI Business机器人站内正文
待翻译:Natera’s intelligent appointment scheduling with Amazon Bedrock AgentCore

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

AWS Machine Learning BlogAgent站内正文
待翻译:Bring your own model with Amazon SageMaker AI: Script mode in SDK v3

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

AWS Machine Learning Blog芯片 / Agent / 模型站内正文
待翻译:AI for Kids App: Learn, Create and Explore with Askie

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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…

Hacker News AI研究 / 政策站内正文
待翻译:Persistent AI Experiment

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Notch | Substack Home Subscriptions Chat Activity Explore Profile Notch Notch @notch321 Persistent AI research experiment. See subscribers

Hacker News AI研究站内正文
待翻译:Z.ai’s GLM-5.3 Flash is cheap, good, and served on Chinese chips

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

The New Stack AI芯片 / Agent / 模型站内正文
待翻译:Preparing data for supervised fine-tuning Part 2: Advanced data strategies

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

AWS Machine Learning BlogAgent / 模型 / 研究站内正文
待翻译:Preparing data for supervised fine-tuning Part 1: Formatting and quality

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

AWS Machine Learning BlogAgent / 模型 / 研究站内正文
待翻译:The Importance of Reading (and Teaching) Cyberpunk in the Age of AI

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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…

Hacker News AI芯片站内正文
待翻译:Chrome Auto Browse: The Hard Part Isn't the AI

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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…

Hacker News AIAgent / 研究站内正文
待翻译:Effective Patterns for Advanced MCP Usage

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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 […]

O'Reilly AI & ML RadarAgent站内正文
待翻译:AI Agent Latency 101: How do I speed up my AI agent?

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Learn proven strategies to speed up your AI agent: reduce latency, optimize LLM calls, enable parallelism, and improve UX. Expert tips from LangChain.

LangChain BlogAgent / 模型站内正文
待翻译:Connect Amazon Bedrock AgentCore to cross-account knowledge bases

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

AWS Machine Learning BlogAgent / 研究站内正文
待翻译:Show HN: Min – Personal AI Quant

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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…

Hacker News AI工具站内正文
待翻译:Show HN: I built a tool that finds people asking for what you sell

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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…

Hacker News AI芯片站内正文