As its traffic continues to climb, alternative search engine DuckDuckGo is leaning into anti-AI sentiment with new browser extensions that allow users to set its no-AI search experience as their default search engine. The extensions, available for Chrome and Firefox, direct users to noai.duckduckgo.com where AI-assisted answers, chat prompts, and AI images are minimized. DuckDuckGo browser users retain their AI settings even after clearing history.

An experiment with AI agent Goose and Claude Haiku 4.5 showed that giving an agent vision capabilities doesn't guarantee it will use them. The agent succeeded on a tough table extraction task not by seeing, but by using a layout-aware text tool. The run was recorded via the open AVP standard, revealing that persistence and the right tools matter more than pricey models.

When you build agentic AI solutions, you face unique operational challenges. Agents make unpredictable decisions, costs spiral unexpectedly, and debugging non-deterministic failures seems impossible. Agentic AI applications don't just execute predetermined workflows. They reason, adapt, and make autonomous decisions, and DevOps practices need to be adapted. That's where AgentOps comes in, the operational discipline for deploying, managing, and continuously improving AI agents in production.

This post explores how combining Amazon FSx for Lustre, NVIDIA GPUDirect Storage, and sharded parallel loading reduces cold-start time-to-first-token for large language models from minutes to seconds, and how TurboQuant KV cache significantly increases context window size.

The article examines the growing trend of nations seeking technological sovereignty, using Brazil's pursuit of medical sovereignty as an analogy for AI. It argues that decoupling is too narrow a frame; instead, countries want to stay connected while building their own capacities, similar to federation rather than separation. Open-source AI models and protocols are key tools, but infrastructure (data centers, chips, power grids) is the critical layer that is hard to replicate. The piece envisions a federated AI future and the need to rebuild infrastructure for the AI era.

Rippling uses LangChain Deep Agents and LangSmith to run cross-domain AI across HR, IT, finance, payroll, and global operations.

This post walks through a practical implementation using KDB-X MCP server integration with Amazon Quick, demonstrating how traders and analysts can ask questions using conversational language and receive actionable insights from datasets. The integration pattern applies to various domains, from financial market analysis to IoT sensor monitoring to DevOps performance dashboards.

Learn how Googlers used AI to produce Google I/O 2026, from the jellyfish pre-show to the “TPU Training Day” film, see how Gemini helped make I/O happen this year.

SkipLabs launched Skipper, a closed-loop AI coding agent that generates a complete backend service from a plain-language description without requiring human feedback. It uses a reactive runtime from the Skip language to handle state management and concurrency, where AI-generated code most often fails. Skipper treats AI models as commodities, defaulting to Claude Opus but supporting multiple models. Future plans include an incremental TypeScript implementation and an incremental update mode.

JetBrains releases Mellum2, a 12B-parameter MoE model activating only 2.5B parameters per token, optimized for low-latency text-and-code workloads. It excels in routing, RAG, sub-agents, and private deployments, achieving 2x faster inference than comparable models. Released under Apache 2.0.

Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and why Grok Imagine is so underrated.

Aivil (AI Vital Identity Layer) is an emerging identity layer for AI systems, aiming to provide unique authentication and management frameworks. This article explores its core concepts and potential impact.

Artificial intelligence is helping historians crack centuries-old encrypted manuscripts in libraries and archives worldwide. From the Borg cipher to Mary Queen of Scots' letters, AI accelerates decoding, potentially revealing hidden historical information.

QVAC SDK 0.12.0 introduces TurboQuant, a KV-cache quantization algorithm that reduces context memory consumption by up to 5x, enabling full 262K-token contexts on consumer GPUs. It works without model retraining and is based on Google Research's ICLR 2026 paper.

A free boilerplate to build and ship a real SaaS in a weekend, with a guided journey from setup to deployment. Includes Next.js, Supabase, Stripe, Resend, and built-in AI-assisted development context. Free tier with $0 monthly overhead; Pro for $97 one-time.

Hyland CEO Jitesh Ghai argues against the industry trend of radically reengineering enterprises for AI agents. Instead, Hyland’s new Enterprise Context Engine and Agent Mesh enable AI integration with existing systems, emphasizing context, governance, and a headless architecture.

AI hardware startup Majestic Labs is developing a new AI server, Prometheus, with up to 128 terabytes of memory, over 60 times more than Nvidia's DGX B300. It uses a DRAM-centric architecture with a proprietary copper-cable memory interface and custom memory aggregation chips, delivering up to 25.6 TB/s bandwidth. The server features 12 Ignite AI processors combining ARM and RISC-V cores, and supports PyTorch, vLLM, and Triton frameworks without code modifications. Expected to ship in 2027, it claims to reduce capital expenditure and power consumption by 10 to 50 times.

Microsoft is heading to San Francisco this week for its Build conference, where it plans to unveil new AI models for Windows, a reasoning model, a Copilot super app, and developer-focused Windows improvements. The company aims to rebuild trust with developers amid low confidence in Windows and GitHub.

SoftBank CEO Masayoshi Son says the AI revolution is 50 times bigger than the dot-com boom and announces a €75 billion investment in AI infrastructure in France.

Today I’m talking with Harvey Mason Jr., who is CEO of the Recording Academy — that’s the outfit that puts on the Grammy Awards. I last talked to Harvey in 2024, when it was obvious that generative AI would upend the music industry, but still not exactly clear how that would happen.  Well, it’s been 18 months since that conversation, and you’re going to hear Harvey say that AI is now “omnipresent” in music production. And Harvey knows what he’s talking about — he is himself a legendary producer who’s worked with everyone from Janet Jackson to Beyoncé. Harvey has said that every session he’s been in recently has had AI in it, and I really wanted to know what that meant — what kinds of tools are musicians using, in what way, and what kind of music is it making for us? Is it any good?  Verge subscribers, don’t forget you get exclusive access to ad-free Decoder wherever you get your podcasts. Head here. Not a subscriber? You can sign up here. Because, as it stands, there’s an exponential increase in the rate of AI music creation. Streaming platform Deezer reports that more than 50,000 AI-generated songs are being uploaded every day. All that AI-generated music is getting harder to identify and filter out, while at the same time, tools like Suno have become mainstream parts of the creative process for musicians of all kinds. So I really wanted to know how Harvey experiences all of that and balances his role running the Grammy Awards, especially since the Recording Academy’s rules say that AI music isn’t eligible for the industry’s highest honors. There’s a lot going on in this one. Harvey and I also talked about the Grammys moving to Disney after years on CBS and what it means to reach new younger audiences with award shows in the age of TikTok. If you’re a Decoder listener, you know that I’m always saying that whatever happens to the music industry happens to everything else five years later, and this conversation really underlined that for me. Okay, Harvey Mason Jr., the CEO of the Recording Academy, on the future of AI and music. Here we go. 

A detailed walkthrough of the AI tools and workflows powering the author's productivity in 2026, covering five loops: capture, think, build, know, and operate, along with cross-platform advice and emerging patterns.

Popular fitness-tracking platform Strava is restricting API access to combat AI scraping and abuse. Developers now need to pay $11.99/month for API usage. The company cites a 448% surge in developer applications and policy violations by API intermediaries.

A step-by-step guide to generating a year's worth of daily temperature readings that mimic real seasonal patterns, using Mimesis, pandas, and NumPy for IoT sensor simulation.

IBM Research introduces 'agent logic'—software primitives like knowledge graphs and program analysis that guide LLMs to focus on enterprise workflow cores, dramatically reducing token consumption and improving performance. Validated across legacy code understanding, test generation, incident response, and compliance automation, agent logic enables AI agents to outperform pure LLM approaches with up to 30x token reduction in app understanding and 20-45% coverage improvement in test generation. Case studies include a configurable generalist agent (CUGA) in healthcare and condition-based maintenance for IBM Global Real Estate.

Chinese AI company MiniMax has released its new model M3. It's billed as the first open-weight model to combine top-tier coding performance, a one-million-token context window, and native multimodality.

ToolPix offers 50+ free online tools for PDF editing, image optimization, coding, and AI generation, all running locally in the browser with privacy protection.

According to benchmark platform Artificial Analysis, Nvidia's new Nemotron 3 Ultra is the most capable open AI model from the US to date, but China remains ahead in the open model landscape.

Nvidia announces Cosmos 3, an open-source foundation model for physical AI that integrates reasoning, world generation, and action generation.

An open-source ecommerce starter kit that lets you build and customize a Magento store by talking to Claude in natural language, with no coding required. Launch a running store from your browser in about 8 minutes.

The article discusses the rapid growth of the AI economy (US AI GDP growing ~2600% per year), challenges of AI oversight using AI, the GPIC dataset of 100M licensed images, and the protein folding model ESMFold2 for cancer research.