标签：#Intel

IBM’s nanostack transistors could boost chip performance or energy efficiency.

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with predictive analytics.

Indie movie fans are upset about Google DeepMind’s $75 million investment in the studio, which comes as AI companies are deepening their influence in Hollywood.

The AI arms race between China and the US has researchers on both sides worried about a “Chernobyl moment.”

Modular, one of the most promising chip software startups of the AI era, heads for a multibillion-dollar exit.

AI is booming. New use cases are emerging each day. To capitalize on the technology’s potential, enterprises require data at scale. In many cases, though, the relevant information is blocked or unstructured, which limits its use by AI models. To understand this challenge, consider the foundation of the web itself. The web was not designed…

Naomi Saphra discusses 5 rules governing language model behavior, breaking down why LLMs act like populations rather than individuals. She explains how tokenization creates strange semantic blind spots and highlights the mechanics of sycophancy, showing how models leverage subtle data associations to match user biases and demographics - even guessing political views based on favorite sports teams. By Naomi Saphra

Originally published on satyamrastogi.com Three malicious npm packages masquerading as PostCSS tools delivered Windows RAT payloads. Analysis of supply chain attack mechanics, payload delivery chains, and detection gaps in dependency management. Malicious npm Packages Pose as PostCSS Tools to Deliver Windows RAT Executive Summary This is a textbook supply chain attack leveraging npm's trust model. Three packages published in June 2026 - aes-decode-runner-pro , postcss-minify-selector , and postcss-minify-selector-parser - delivered Windows RAT payloads to developers. The attack demonstrates why automated dependency management without behavioral validation is a critical vulnerability. What makes this particularly effective: PostCSS is a legitimate, widely-used build tool. Developers hunting for PostCSS plugins via search or copy-pasting dependency names from tutorials become easy prey. The attacker didn't need zero-days, social engineering sophistication, or exploit kits. Just npm account registration and package uploads. This follows the exact pattern we've seen in credential theft campaigns prioritizing convenience over complexity . Low barrier to entry, high payoff. Attack Vector Analysis MITRE ATT&CK Framework Mapping This attack chains multiple techniques: T1195.001: Compromise Third-Party Software Supply Chain - Malicious package publication on npm registry T1566.002: Phishing - Spearphishing Link - Package discovery and recommendation (implicit trust) T1059.003: Command and Scripting Interpreter - Windows Command Shell - RAT payload execution T1105: Ingress Tool Transfer - Initial RAT download mechanism T1571: Non-Standard Port - C2 communication channels (typical) Kill Chain Breakdown Stage 1: Reconnaissance & Naming Attacker identifies PostCSS as high-value target (builds present in thousands of projects) Creates names that blend legitimacy with search results: postcss-minify-selector exploits incomplete package searches The aes-decode-runner-pro variant sug

At this year's Microsoft Build 2026, Microsoft unveiled a broad set of enhancements to Azure Kubernetes Service (AKS) aimed at making Kubernetes a first-class platform for AI training, inference, and large-scale cloud-native applications. By Craig Risi

Jos Benschop is climbing a ladder to get to the top of his newest machine. It’s a bit of a schlep. The contraption is the size of a double-decker bus—more than 150 tons of gleaming precision-milled aluminum covered in thousands of snaking tubes, colored cables, and pressurized tanks. From the ground, it looks like a…

The move comes after the company left potentially sensitive data from the initiative exposed internally.

Employees had previously raised concerns about the initiative, which involves collecting workers’ keystroke data to train AI models.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. For those of you enjoying your summer unaware of Anthropic’s latest feud with the US government, here’s a recap: In April the company said it had built an AI model called Mythos…

Big Tech is throwing big money into data center buildouts. As national opposition to the facilities grows, some workers are beginning to question whether it’s worth it.

Siri’s AI overhaul may have grabbed the headlines at WWDC, but some of Apple’s most useful AI features are arriving elsewhere in iOS 27.

Sure, anyone can use OpenAI’s chatbot. But with smart engineering, you can get way more interesting results.

For the last 30 years, stopping the flow of cybersecurity-related software has proven to be ineffective. It's unclear why it would work now with Anthropic’s cybersecurity model Mythos.

Block, Inc. describes migrating ~450 JVM repositories into a monorepo across Cash App and Square engineering to reduce dependency drift and coordination overhead. The system supports ~8,800 weekly builds with ~10 min p90 CI time. The approach improves cross-service changes, build visibility, and developer experience through dependency graph–based builds, selective CI, and custom IDE tooling. By Leela Kumili

OpenAI’s Bonnie Xu discusses Kepler, an internal AI data analyst agent built to query 600+ petabytes of data. She explains how they overcome context window limits using MCP, automated code crawling, and RAG. Xu also shares how their team leverages scoped semantic memory for self-learning and utilizes AST-based LLM grading to build a robust, regression-free evaluation pipeline. By Bonnie Xu

CircleCI has launched Chunk Sidecars, a new capability designed to bring CI-style validation directly into an AI coding agent's inner development loop By Craig Risi