The George Peabody Medal, the highest honor of the Peabody Institute at Johns Hopkins University, has been awarded to Tod Machover, a professor at MIT Media Lab, for his pioneering work in participatory opera, AI, and creative technologies.

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A new preprint on arXiv demonstrates a computer worm that uses AI agents on compromised machines to generate tailored attack strategies for each target, spreading across Linux, Windows, and IoT devices at zero marginal cost to the attacker, bypassing traditional safety controls.

iocaine is an aggressive defense mechanism designed to poison AI crawlers by serving them garbage, aiming to deter them over the long term. It is efficient, lightweight, and open source under the MIT license.

Prodync is an AI commerce visibility platform that helps Shopify merchants optimize product data for AI search engines, boosting exposure and sales.

Mnemo is a sidecar service that provides persistent memory for LLMs by extracting entities and relationships into a knowledge graph. It works with local or cloud LLMs, runs in under 50ms, and has no cloud dependency. Supports Docker, binary, and Python SDK.

The Linux Foundation announced the Tokenomics Foundation to create open standards for AI token consumption economics. Supported by Google, Microsoft, IBM, and others, but notably absent are frontier model providers like OpenAI and Anthropic. With token usage surging and costs escalating, the foundation aims to bring transparency and standardization to AI spending.

Google Deepmind's Gemma 4 12B is an open-source model that processes text, images, and audio natively and runs on laptops with just 16 GB of RAM. It nearly matches the twice-as-large 26B model in benchmarks and ships under an Apache 2.0 license for commercial use.

For the first time, Google is giving website operators an opt-out toggle in Search Console for AI search features like AI Overviews and AI Mode, which together already reach more than 3.5 billion monthly users. New performance reports break out impressions separately. The move was prompted by the UK's Competition and Markets Authority (CMA), which sees website operators at a severe disadvantage.

Axiom, a seven-month-old startup, achieved a perfect score on the Putnam exam, highlighting the power of verified AI. CEO Carina Hong explains how formal verification using Lean enables scaling and compounding intelligence, potentially overcoming bottlenecks that informal AI faces. With a 99% score on the Verina benchmark vs OpenAI's 4.9%, Axiom's approach may be crucial for achieving AGI.

A tutorial demonstrating how to build a document intelligence workflow with the iii engine, including installing the engine, registering modular functions, composing an analysis pipeline, and reusing the same logic via direct invocation, HTTP endpoints, fire-and-forget execution, and scheduled cron triggers.

The article introduces the 'AI Bowtie' framework for managers to decide when to leverage AI in team workflows, avoiding the extremes of overuse or complete avoidance. It outlines five phases: research, synthesize, think (no AI), plan, and execute.

This article argues that artificial intelligence, especially large language models, should be understood as a form of computation rather than as artificial persons. It examines the role of loops, compositionality, and the agentic harness in enabling computation, and introduces the concept of "Verplankalkül" as an informal programming language.

When the conversation turns to AI infrastructure, it almost always lands on GPUs and TPUs. The New Stack sat down with Bhumik Patel of Arm and Mo Farhat of Google to talk about the chip that rarely makes the headlines anymore: the CPU, and why it’s getting more important, not less, as AI shifts from chatbots to agents.

Google DeepMind has released Gemma 4 12B, a 12-billion-parameter dense multimodal model that eliminates traditional encoders, feeding vision and audio directly into the LLM backbone. It runs locally on consumer laptops with 16 GB RAM, under the Apache 2.0 license. The model natively handles text, images, audio, and video, making it the first mid-sized Gemma with native audio input.

Ideogram releases version 4.0 of its text-to-image model as an open-weight model with native 2K resolution, bounding box control, and improved text rendering. On the DesignArena leaderboard, it ranks first among all open models; only closed systems from OpenAI and Google score higher. Commercial use requires a paid license.

Research suggests people are working harder and less smartly with AI, but there are ways to turn emerging tech into a valuable tool. Experts advise limiting toolset, adhering to guidelines, and refining outputs to avoid cognitive fatigue.

Jess Asato was portrayed by Grok wearing a bikini after she criticised creation of such non-consensual pictures. A Labour MP has taken legal action against Elon Musk’s AI company after saying its Grok tool helped a user produce fake sexualised pictures of her.

This article criticizes AI productivity tools like Google's Gemini Spark, arguing they solve problems created by tech companies while ignoring systemic economic issues like wage stagnation and job insecurity. The author contends that AI-driven productivity has not benefited workers and may exacerbate inequality without proper safety nets.

This article outlines two methods to connect Kiro IDE to Databricks: a quick setup using four managed MCP servers, or a one-click install via the Databricks AI Dev Kit Power. Both approaches leverage Unity Catalog metadata to ground AI assistants, ensuring they only access authorized data and reducing hallucinations. The article also highlights Databricks' advantages for AI-assisted development, including unified governance, a single data copy, and an integrated AI stack.

This article applies lean manufacturing principles to AI inference, identifying seven wastes in LLM inference and proposing core principles like just-in-time context, standardized work, takt time, and prompt caching. A repo analysis agent case study shows a 13x cost reduction and 3.3x latency improvement.

A practical framework for moving from simple SaaS to an AI-native platform, outlining five levels of AI integration: from MCP server and personal access tokens to embedded chat, conversation history, custom UI generation, and finally an agentic harness with planning and scheduling. The author shares insights from building multiple internal agents and retrofitting AI into existing flows.

DeepLearning.AI and Red Hat offer a free intermediate course on efficient LLM inference with vLLM, taught by Cedric Clyburn. The course covers quantization, serving with vLLM, and benchmarking, with 9 video lessons, 3 code examples, and a quiz.

Your AI agent works great in testing. Then you ship it, and something kinda breaks. A tool called loops forever, like it never learns. A retrieval step returns garbage and costs spike. You have no idea why, at all. That’s the agent observability problem. And if you’re building with LLMs, you need to solve it before production, not after. This post compares three top observability tools: LangSmith, Langfuse, and Arize. We set up each one, trace the same agent, and compare what you actually get.

The White House has issued an executive order requiring agencies like the Pentagon and CISA to strengthen cyber defense with AI tools within 30 days. AI developers can voluntarily submit models for security testing, but the order explicitly rules out mandatory approval. Given recent government pressure on AI companies, how voluntary this cooperation really is remains an open question.

The UK's competition watchdog has ordered Google to change how it uses publishers' content in AI-powered search results, giving news websites the power to block their content from being used in AI summaries, with global ramifications.

Impermeabiliza, a Valencia-based waterproofing specialist, integrates artificial intelligence to improve diagnosis, planning, and execution, ensuring durability of residential, industrial, and commercial structures while preventing leaks, moisture, and mold.

Microsoft CEO Satya Nadella joined a live podcast with No Priors and Latent Space at Build, discussing the company's AI strategy around the Frontier Intelligence Platform, MAI models, AI ROI, and the harness concept for enterprise AI.

This article explores building custom agent harnesses using LangChain's create_agent and middleware. A harness is the scaffolding connecting a model to the real world; customizing it is key to agent usefulness. Middleware hooks into the agent loop at each step, enabling deterministic logic, tool lifecycle management, custom state, and stream handling. Task-harness fit determines effectiveness.

The European Commission aims to reduce dependence on foreign suppliers in cloud computing, AI and semiconductor production, ensuring no foreign government or company can use a 'kill switch' to disrupt essential tech services in Europe.