Tech news, October 14, 2026

Posted by Jason Buchel, Creative Technologist, Platform & Devices As agentic development accelerates, Android engineering is reaching an exciting new frontier: moving from assisti…

Open models like GLM-5 and MiniMax M2.7 now match closed frontier models on core agent tasks — file operations, tool use, and instruction following — at a fraction of the cost and…

Last week we announced that Gemini Enterprise has evolved to make it even simpler to get work done, and introduced the Gemini agent, your new universal agent for work.

Twilio customers may be experiencing voice call failures and post dial delay from Twilio Phone Numbers to network subscribers in Israel.

Six AI agent security best practices for teams running coding agents and MCP servers: limit what a compromised agent can reach and catch credential misuse.

Replacement: gemini-3.8-flash or gemini-3.5-flash-lite or gemini-3.1-flash-lite.

Data teams all get asked the same questions: "what will sales be next quarter?,"...

As capital, labour, and energy are redirected towards AI infrastructure, the economic risks and consequences could be felt by investors, communities, and consumers worldwide.

Knowing where traffic comes from can help you decide where it goes.

FactSet’s Text-to-Formula (TTF) system has a deceptively difficult job: take a natural-language...

Today we are announcing the release of v26 of the Google Ads API.

Resend is now a first-party Laravel Cloud integration.

Learn the top AI agent security risks, from prompt injection to excessive autonomy and credential exposure, and how to contain them.

Harbor can now run every eval task in Docker Sandboxes Docker Sandboxes are MicroVM environments to run agents like Claude Code, Codex, Cursor, and more safely With Sandboxes, def…

Thanks to Mark Callaghan for filing MDEV‑37992.

Explore the new Azure MCP Server 3.0 stable release, with AI agent tools for Terraform, backup, recovery, and troubleshooting, plus stronger security defaults.

When strikes hit Yandex data centers, many assumed Russian bot operations went dark.

A comparison of declarative deployment config systems across cloud providers.

Authors: Divya Gadde, Ko-Jen Hsiao, Dhaval Patel and Moumita Bhattacharya The motivation for building the Netflix Foundation Model for personalization was laid out in this previou…

In September, we experienced two incidents that resulted in degraded performance across GitHub services.

HydraFusion has an updated model pool, improved orchestration workflows, and introduces HydraFusion Max.

At Databricks, our enterprise customers receive millions of documents every single...

by Olek Gorajek, Samuel Redai, Yian Shang Intro Our Netflix journey from data to dashboards, particularly within the space of the experimentation platform, always presented a uniq…

By Kevin Zielnicki, Guy Aridor, Aurélien Bibaut, Allen Tran, Winston Chou, and Nathan Kallus Introduction Personalization is everywhere on the internet.

By Oleksii Tkachuk, Rajiv Shringi, Chris Lohfink, Abe Ratnofsky, Kartik Sathyanarayanan Introduction In an earlier post, we introduced the TimeSeries Abstraction, our high-through…

By Yogesh Nagarur Introduction In Part 1 of this series, we shared how Netflix built the Ads Event pipeline and approached it as a system design problem: replacing fragmented pipe…

Jev 1.14 is the latest version of Jev, TypeSafe's structured decision model and the first of its System One models.

Universal-3.6 Pro is AssemblyAI's speech-to-text model and the successor to Universal-3.5 Pro, served here through AssemblyAI's Sync API.

New open weights from IBM Granite on the Hugging Face Hub.

New open weights from IBM Granite on the Hugging Face Hub.

This model always redirects to the latest model in the Decider family.

IntroductionZscaler ThreatLabz analyzed a recently active exploitation campaign in which a threat actor abused ARTEX to target South Korean financial institutions.

Guangzhou Juan IoT Technology EseeCloud khardwood Oct 14, 2026 Release Date October 15, 2026 Description View CSAF Summary Successful exploitation of these vulnerabilities could a…

We investigated an intrusion where attackers exploited CVE-2024-47575 to target 500+ firewalls and deploy PEERSTITCH, a memory-resident ARM64 malware.

The internship 2026-2027 season at Quarkslab is open!

The Stable channel has been updated to 156.0.8078.35/.36 for Windows and Mac a s part of our early stable release to a small percentage of users.

Key findings A disruption action targeting prominent players across the Chinese-speaking phishing and fraud ecosystem struck a blow to the most high-volume threats in Proofpoint d…

Most security tooling that fits into a CI/CD pipeline—static analysis (SAST), software composition analysis (SCA), and dynamic scanners (DAST)—flags potential issues from patterns…

Integrate your existing code scanners into Wiz for a unified view of application risk across your environment.

Bulletin ID: 2026-135-AWS Scope: AWS Content Type: Important (requires attention) Publication Date: 10/14/2026 12:30 PM PDT Description: We identified CVE-2026-110310, an issue in…

Learn how to build an agentic intelligent document processing (IDP) system using Amazon Bedrock AgentCore that classifies, extracts, validates, and learns from business documents…

AI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible yet incorrect artifacts makes...

Explore Gemini 4 Argon's Python code, turtle drawing, and responses to small tasks that check modern syntax, release knowledge, focused edits, and made-up functions.

Learn how to structure Python projects: pick between flat and src/ layouts, organize your code, and apply the patterns to CLI, web, and GUI apps.

This post walks you through building an AI agent system with Amazon Bedrock AgentCore that automates PowerPoint presentation creation from enterprise documents.

Learn how Tamnoon built Tami, an agentic cloud remediation orchestrator on Amazon Bedrock that autonomously investigates and safely remediates cloud security findings from CNAPP a…

Learn how to deploy an available model from Amazon SageMaker JumpStart, run a lightweight and repeatable performance test using the SageMaker Python SDK, and delete the endpoint w…

Test your knowledge of building PyQt GUIs with widgets, layouts, and dialogs, connecting signals to slots, and structuring apps with MVC.

A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.

The Medicines and Healthcare products Regulatory Agency (MHRA) has set out ambitious plans to translate cutting-edge scientific and technological innovation into better health out…

Notice is hereby given that a complaint was filed with the U.S.

The Division of Program Coordination, Planning, and Strategic Initiatives (DPCPSI) in the Office of the Director (OD), National Institutes of Health (NIH) is seeking public commen…

npj Digital Medicine, Published online: 14 October 2026; doi:10.1038/s41746-026-03152-w Electronic health record developer adherence to federal AI risk transparency requirements

npj Digital Medicine, Published online: 14 October 2026; doi:10.1038/s41746-026-03220-1 Author Correction: Large language models are powerful electronic health record encoders

At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control.

How Leash Bio tamed DELs, the assay that traumatizes everyone, and used the data to catch cheating models.

How do we know the company’s stated reasons for firing three safety researchers are its actual reasons?

Uber Distinguished Engineer Uday Kiran Medisetty shares how Uber builds internal developer tools, integrates AI agents into engineering workflows, and measures their impact on pro…

This is a current list of where and when I am scheduled to speak: I’m speaking at ATTENTION: Democracy, Rebuilt in Montreal, Quebec, Canada.

We need the frontier labs to have a deep and robust safety culture.

Generating novel views from limited observations requires preserving both the appearance and spatial structure of a scene.

Recent advances in robot learning have driven rapid progress in humanoid control, enabling increasingly agile behaviors in the real world.

Mobile Manipulation (MoMa) is a cornerstone of autonomous robotic systems, yet real-world fine-tuning remains a formidable challenge because of high-dimensional action spaces and…

Representation-alignment methods effectively accelerate the diffusion transformer training.

World-action models aim to turn visual anticipation into driving decisions, yet typically train action experts on trajectory representations defined independently of visual dynami…

We present CommerceGen-Studio, an end-to-end framework for generating commercial-grade main images for e-commerce Stock Keeping Units (SKUs).

Achieving general spatial intelligence requires a unified understanding of both static 3D and dynamic 4D.

Training language agents is bottlenecked by the high cost of long-horizon rollouts, yet standard agentic reinforcement learning (RL) learns only from a terminal scalar reward, lea…

Existing geometry-aware Multimodal Large Language Models (MLLMs) increasingly rely on external 3D encoders to provide structural priors, but executing these additional encoder pat…

Feed-forward 3D Gaussian Splatting (3DGS) methods enable efficient reconstruction of 3D scenes from sparse multi-view images in a single forward pass, without scene-specific optim…