03:04
Fable 5.2 and Jagged AGI
General, often expert, and sometimes jagged
Today's news
Products & applications / 01Fable 5.2 and Jagged AGIOne Useful Thing
01 / IN FOCUS
Fable 5.2 and Jagged AGI
One Useful ThingData & engineering / 02Introducing ClickHouse Security in private preview, built on RunRevealClickHouse
02 / IN FOCUS
Introducing ClickHouse Security in private preview, built on RunReveal
ClickHouseCompute & infrastructure / 03b12229llama.cpp releases
03 / IN FOCUS
b12229
llama.cpp releasesAI NEWS × FOXAIFind your next step
Explore AI tools From the latest news to tools that work for you.
Discover AI tools
Swipe to explore →K
KiroCoding & development
MemoAIMusic & audio
AI ShortWriting & content
Open DesignDesign & 3D
EvoMapAgents & automation
JAXModels & infrastructure
Udacity AI学院Education & languages
闪剪Video & animation
Meta AI助手Assistants & search
FinBusiness & support
KiroCoding & developmentKiro is an AI engineering tool for developers that organizes requirements into specifications, architectures, and tasks, generates code via agents, and supports the entire workflow—from planning to code review—through property-based testing, execution memory, and integration with development tools.
分类推荐榜首MMemoAIMusic & audioMemoAI is an AI-powered audio-to-text tool that supports localized processing, eliminating the need to upload data and ensuring privacy and security. It can efficiently transcribe YouTube videos, podcasts, and local audio/video files (such as MP4, MP3, AAC, M4A, etc.) into text, while offering core features like multilingual translation, speaker diarization, real-time subtitles, and floating notes—making it ideal for meeting minutes, interview transcription, content learning, and more.
分类推荐榜首AAI ShortWriting & contentAIS ALERT MANAGEMENT AND SHARED PLATFORM, QUICK COMMAND FOR MULTIPLE SCENARIOS
分类推荐榜首OOpen DesignDesign & 3DOpenDesign is an open-source design workspace that can connect to local programming agents, use built-in model keys, or leverage cloud-based models, enabling the creation and editing of prototypes, web pages, presentations, and graphics within a design system; local software is free, while model services incur fees.
分类推荐榜首EEvoMapAgents & automationEvoMap is an infrastructure designed for the reuse of AI agent experiences. It organizes reusable strategies and repair assets with validation records via the GEP protocol, offering market- and quality-based ranking to help different agents discover, evaluate, and inherit existing capabilities.
分类推荐榜首JJAXModels & infrastructureJAX is a Python numerical computing library designed for accelerators, specifically tailored for high-performance array computations and large-scale machine learning. It efficiently executes the same code across multiple hardware backends, including CPUs, GPUs, and TPUs.
分类推荐榜首UUdacity AI学院Education & languagesUdacity AI Academy is the gateway to AI courses and learning paths, covering machine learning, deep learning, computer vision, natural language processing, and AI product management, with courses and project-based training available at both beginner and advanced levels.
待评分 · 分类列表推荐闪FlashCut is an AI-powered creation platform for voice-over and short-video marketing. It can generate finished videos with voiceovers, subtitles, and visuals from text, offering digital human customization, photo-to-digital-human conversion, live-stream clipping, and intelligent editing. It also provides APIs and branded mini-program solutions for businesses.
待评分 · 分类列表推荐MMeta AI助手Assistants & searchMeta's free AI chat assistant
待评分 · 分类列表推荐FFinBusiness & supportCLIENT-ORIENTED AI SMART BODY。
待评分 · 分类列表推荐AI, as it happens
1532 published storiesEnterprise & work applications · News · 25 storiesClear filters ×
2026-11-10
Follow the timeline02:43
Professional work deserves professional tools. Meet AWS Quick.
Introducing AWS Quick, formerly Amazon Quick, and the debut of our first brand campaign celebrating teams who keep business moving. AWS Quick is the AI workspace built only for work, where teams use AI agents to research, analyze, and act across the data and applications they already rely on.
2026-11-07
Follow the timeline02:01
SageMaker Inference now supports Multi-Instance GPU to maximize GPU utilization for model endpoints
Amazon SageMaker Inference now supports GPU partitioning with NVIDIA Multi-Instance GPU (MIG), which divides one GPU into hardware-isolated partitions so you can run a different model in each or take a right-sized fraction of a newer accelerator. This post shows how two optional API fields place one model per partition, and what we measured against a whole older GPU.
01:34
Taxonomy of agentic primitives in Amazon Quick
As we built Amazon Quick, its agents grew from answering questions to taking actions, and the same primitives kept getting rebuilt under different names. This post shares the taxonomy we converged on — triggers, agents, capabilities, and learned context — found by decomposing agentic work into four plain questions: When, What, Who, and How.
01:13
Serverless MCP server for AI agent data lake access on Amazon ECS Fargate
Learn how to build a serverless Model Context Protocol (MCP) server on Amazon ECS with AWS Fargate that gives AI agents secure, metadata-driven access to an enterprise data lake. Exposing a new dataset requires only a JSON file, with no per-dataset integration code.
00:55
How Greenlight Financial built an autonomous SOC solution on Amazon Bedrock AgentCore
Greenlight Financial resolves more than 90% of up to 4,000 monthly security and risk cases without human intervention using Luna, a tiered multi-agent system on Amazon Bedrock AgentCore. This post covers the architecture, episodic memory for continuous learning, and the expansion from SOC operations into financial risk triage.
00:45
Extend Claude Code to remote sessions on Amazon Bedrock AgentCore with security controls
Run Claude Code as a remote agent on Amazon Bedrock AgentCore. Each coding task runs in its own isolated session in your AWS account, every model call goes through Amazon Bedrock, and the result comes back as a GitHub pull request you review and merge.
2026-11-06
Follow the timeline02:06
How Amazon Marketplace evaluates content quality with Amazon SageMaker AI
Learn how Amazon Marketplace evaluates A+ Content quality at scale on Amazon SageMaker AI by rendering each product page as a single snapshot, scoring it with a vision-language model fused with OCR readability signals in a CatBoost classifier, and using SHAP to turn each decision into prioritized, actionable recommendations for selling partners.
2026-11-05
Follow the timeline02:46
Use decision models with Amazon Bedrock AgentCore Evaluations
Some agent-evaluation questions are narrow and repeatable, and decision models answer exactly that kind of question. This post shows how to connect two decision models, Jev and Strands Decider, to Amazon Bedrock AgentCore Evaluations through code-based evaluators, and how to validate a decision-model check before you gate a release on it.
00:33
Smart Approvals in Amazon Quick: Human oversight where it matters
Smart Approvals in Amazon Quick reviews eligible agent actions within your existing controls, reducing unnecessary approval prompts while keeping consequential decisions with a person. See how policy sets the boundary, how a classifier reviews actions, and how AWS CloudTrail and Amazon CloudWatch Logs support audit.
00:30
Four layers of context engineering for production AI agents: How Deep Insight applies them in working code
In production AI agents, context management is the real bottleneck. This post presents a four-layer context engineering framework (architecture, prompts, file-based tools, and verification agents), implemented in working code from Deep Insight, an open source multi-agent data analysis solution on the Strands Agents SDK and Amazon Bedrock AgentCore.
00:25
How Indegene is modernizing and scaling enterprise data quality in life sciences
This post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS. The agent generates context-aware data quality rules, validates them, and produces ready-to-run SQL and Python under human-in-the-loop governance, helping life sciences organizations scale enterprise data quality.
00:23
How U Mobile built agentic telco operations with Amazon Bedrock AgentCore
U Mobile, Malaysia's newest 5G network provider, built AiDaH, an agentic AI operations platform on Amazon Bedrock AgentCore that moves beyond AI assistance to autonomous action across telco operations. Nine months after production launch, AiDaH handles over 150 operational scenarios across six divisions, cutting trouble tickets by up to 84.5%.
2026-10-30
Follow the timeline10:02
The Moonlight Side announced that Kimi has officially integrated with Google Gmail, Google Drive, and Google Calendar.
On October 29, the Moonlight Side announced overseas that its AI assistant, Kimi, has been fully integrated into Google’s three major office services: Gmail, Google Drive, and Google Calendar. Users can enable this integration simply by making a few settings on the Plugins page. According to the official statement, this integration expands Kimi’s application scenarios, allowing users to quickly summarize Gmail email conversations, precisely locate needed information, and improve efficiency in handling tasks related to emails, cloud storage, and calendars.
2026-10-28
Follow the timeline18:15
Macmillan Staff Say the Publisher Threw a Party for a Workplace AI Assistant That Was Later Killed
Workers tell WIRED that NOA—or “No Ordinary Assistant”—was unhelpful. Bestselling authors also say AI is ruining their relationships with Big Five publishers.
11:32
Former Meta AI Director Launches Ndoc: A Direct Competitor to Microsoft Office and Google Workspace
Former Meta AI Director Rohit Patel has launched the AI productivity company Ndoc, along with its eponymous all-in-one office platform, challenging Microsoft Office and Google Workspace. Rather than embedding chatbots into traditional spreadsheets, the platform builds a workspace from scratch, featuring three distinct tabs labeled “Stages,” “Narrative,” and “Models.” On the “Models” tab, users can upload raw datasets, generate analytical reports complete with visible Python scripts, and leverage the built-in AI chat feature for explanations.
00:48
Cloudera bets portability, not agents, will set it apart in enterprise AI
Enterprises racing toward AI automation are finding that where their models and data run matters as much as what the models can do. Regulatory pressure, rising token costs and fear of lock-in are pushing companies to demand more control over their AI workloads. That demand is shaping how data platform providers pitch their next act. […] The post Cloudera bets portability, not agents, will set it apart in enterprise AI appeared first on SiliconANGLE.
2026-10-27
Follow the timeline23:10
UK Home Office May Face Investigation Over Use of OpenAI Tools
A government watchdog is considering a probe into the Home Office’s use of ChatGPT technology to process asylum claims amid concerns over the tools’ accuracy and secrecy surrounding their use.
22:59
Meta AI director Rohit Patel leaves to take on Microsoft Office and Google Workspace
Rohit Patel is departing Meta after eight years working on AI evaluations and reinforcement learning, TechCrunch has exclusively learned. His startup, Ndoc, aims to take on Microsoft Office Suite.
09:41
Three insights you may have missed from theCUBE’s coverage of Workiva’s Amplify event
Enterprise AI governance is moving into the data, workflows and controls that determine what automated systems can do. As agents take on consequential work in finance, audit, compliance and sustainability, organizations need results that are grounded in business context, traceable to their sources and governed by clear accountability. TheCUBE’s preview of Workiva’s Amplify event highlighted […] The post Three insights you may have missed from theCUBE’s coverage of Workiva’s Amplify event appeared first on SiliconANGLE.
Every update links back to its source.