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Hugging Face 官方博客

NVIDIA releases Kumo Forecast: a multivariate forecasting model that integrates pre-trained time-series representations, historical pattern retrieval, and interpretability.

NVIDIA has launched the open-source time-series forecasting model Kumo Forecast (formerly NV-Tesseract Forecasting), which is built on the MOMENT-1-large Transformer architecture. It supports both direct prediction and dual-path inference via Domain-Aware Representation and Retrieval (DARR), and includes a built-in interpretability framework that requires no modifications to the model structure.

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Hugging Face 官方博客

NVIDIA releases Kumo Relational: the first foundation model for structured data that outperforms supervised learning without any training.

NVIDIA has launched Kumo Relational, a pre-trained relational foundation model that can perform predictive tasks—such as churn prediction, fraud detection, and demand forecasting—directly on enterprise‑grade relational databases, without the need for task fine-tuning, feature engineering, or table flattening. In 41 benchmark tests spanning 15 databases, it outperformed supervised models like XGBoost across the board, and on the SAP SALT enterprise benchmark, its MRR metric surpassed AutoGluon by 8%. The model supports databases with up to 500 billion rows and enables zero‑code predictive queries via Predictive Query Language (PQL).

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Simon Willison

eMudhra Intermediate CA Compromise

eMudhra Intermediate CA Compromise This is very, very bad news: The private keys of eight eMudhra intermediate CA certificates have been compromised. They chain to roots trusted by the Mozilla, Microsoft, Apple and Chrome root programs and by many downstream trust stores. Any software that bundles a list of trusted certificates needs to be updated. This site is tracking software updates via this GitHub repository - Linux distros need to update their ca-certificates packages. In Python world uv 0.13.4 and pip 26.2.2 and certifi 2026.10.19 have been released with upgraded certificate lists. There's a very informative thread about this on the official Python forum. Tags: encryption, https, pip, python, security, uv

Individual
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AWS Machine Learning Blog

i14 releases the Laplace 3B linear attention model: inference with fixed-state memory, implemented on AWS Trainium2 and native PyTorch.

i14 has launched the Laplace 3B model with 3.028 billion parameters, which replaces Softmax attention with Gated Linear Attention (GLA). During inference, its per-sequence recursive state remains constant at 29.5 MB, independent of context length. The model was trained and validated on a single AWS trn2.48xlarge instance (equipped with 16 Trainium 2 chips), achieving a training throughput of 120,000 tokens per second and an inference throughput of 11,544 output tokens per second (with 1,280 concurrent sequences). All performance metrics are based on internal measurements conducted by i14 and the AWS GenAIIC team.

OfficialTutorials
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Ars Technica · AI

Gemini’s personal intelligence features have officially launched on in-car systems: Android Auto is rolling out starting today, with Google’s built-in in-car system to follow within a few months.

In October 2026, Google announced that it would extend Gemini’s Personal Intelligence feature to in-vehicle scenarios, initially rolling it out to Android Auto users and expanding to vehicles equipped with the Google Built-in system over the following months. This feature is optional and relies on user authorization to access local data such as Gmail and Calendar to enhance response relevance.

Media
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Simon Willison

Battle Drones - a vibe coded RTS with audio-based multiplayer

My latest vibe coded game experiment is a Command & Conquer style RTS (Real Time Strategy) game called Battle Drones (play it here). Unlike my previous experiments, this one is actually fun to play. I'm somewhat embarrassed to admit that I got there by telling Claude to "Make it a LOT more fun". It also supports multiplayer between nearby devices using audio to synchronize game state! Here's what I've built so far, and some of the things I learned along the way. Battle Drones How I built this v1: the initial prototype v2: full sprites v3: varied terrain v4: the fun update v5: Battle Drones goes 3D v8: Archipelago v10: Goliath, and agent battles Agent battles v11: Random Maps v12: Multiplayer via sound Some thoughts Update: Online multiplayer support Battle Drones My initial goal was to bui

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Latent Space

SF Compute builds a programmable data center: leveraging physical delivery to drive the marketization of GPU computing power trading.

SF Compute was founded by Evan Conrad and focuses on enabling programmable, physically settled trading of GPU computing power. It does not operate its own data centers; instead, it leverages full-stack technology to collaborate with third-party facilities in co-building a “sovereign compute cloud,” emphasizing market neutrality and infrastructure controllability. The company has already facilitated hundreds of millions of dollars in transaction volume and implemented key capabilities such as dynamic InfiniBand partitioning.

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AWS Machine Learning Blog

Smartsheet launches the Model Context Protocol (MCP) server, enabling AI agents to connect directly to real-time project data on AWS.

Smartsheet has officially launched the general‑purpose Model Context Protocol (MCP) server, which uses a standardized protocol to enable AI agents to read and write structured data—such as project tables, rows, columns, and automations—in Smartsheet. The service is now available within the AWS ecosystem, supporting access from two types of clients: Amazon Quick, aimed at business users, and Kiro, designed for developers. This allows for natural‑language‑driven cross‑tool task updates, status synchronization, and context‑aware development.

OfficialTutorials
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AWS Machine Learning Blog

AWS releases a technical preview: Amazon Quick and Bedrock AgentCore enable the construction of governable, conversational supply chain intelligence systems.

AWS has launched a modular agent architecture based on the Model Context Protocol (MCP), leveraging AgentCore to standardize enterprise‑level tool interfaces. Amazon Quick provides a natural‑language interaction interface for business users, enabling real‑time, approval‑driven supply chain decision support across ERP, procurement, monitoring, and other systems. This solution is currently in technical preview and is not guaranteed to be production‑ready or available for customer deployment.

OfficialTutorials
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Ars Technica · AI

Meta was ordered by a court to disclose the list of executives who approved the use of pirated downloads to train its AI.

In several copyright infringement lawsuits targeting Meta over AI training, courts have ruled that Meta must explicitly identify the executives who authorized the downloading of pirated books from shadow libraries such as Anna’s Archive and LibGen. Previously, Meta had shifted responsibility to frontline employees, claiming that its early AI data collection was an “informal process” and that no one had “formally decided” to carry out the downloads.

Media
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AWS Machine Learning Blog

Octave builds a secure, multi-tenant AI infrastructure based on Amazon Bedrock, supporting semantic search across 2 billion regulatory documents.

Octave Reliance has built a rigorously tenant-isolated AI infrastructure using Amazon Bedrock, integrating Cohere Embed v4 with the AgentCore micro‑VM runtime to deliver a Complaint Triage Assistant across the medical device, pharmaceutical, and food manufacturing industries. This solution supports semantic search across more than 2 billion regulated documents—such as complaints, CAPAs, and audit findings—while completely preventing cross-tenant data leakage throughout the process.

OfficialTutorials
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AWS Machine Learning Blog

AWS Bedrock has launched cross-region inference in the Canada region, supporting calls to the nominal GPT-5.6/GPT-6/GPT-6.1 models.

Amazon Web Services announced that Canadian customers can, via Amazon Bedrock, invoke models branded as OpenAI GPT-5.6, GPT-6, and GPT-6.1 in the ca-central-1 (Canada Central) and ca-west-1 (Canada West/Calgary) regions using cross-region inference (CRIS); the actual inference takes place in North American or global AWS commercial regions, while data remains at rest in the Canadian source region.

OfficialTutorials
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AWS Machine Learning Blog

AWS Agent Registry officially released: supports runtime semantic discovery and dynamic orchestration of MCP servers and A2A agents.

On October 26, 2026, AWS announced the general availability of its Agent Registry service, a managed offering that leverages hybrid semantic-plus-keyword search to dynamically discover, instantiate, and execute approved Model Context Protocol (MCP) servers and Agent-to-Agent (A2A) agents at runtime, replacing hard-coded tool integrations and addressing bottlenecks in the large-scale orchestration of enterprise-grade AI agents.

OfficialTutorials
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