Leaked audio from Accenture reveals that non-technical employees are burning through AI token budgets on trivial tasks like converting PDFs to slides. As providers shift to per-token pricing, firms face soaring costs. Uber and Walmart have capped AI tool usage. Accenture plans to launch 'Token IQ' to manage token economics.

AI may widen intelligence gaps, leading to new forms of inequality.

Rolling aggregations compute statistics over a continuously shifting window of data, enabling real-time behavioral change detection and anomaly detection for AI systems. This article explores three approaches to efficiently compute rolling aggregations: tiled window aggregations, incremental views (Feldera), and parallel pushdown aggregations in RonDB, comparing their computational complexity and latency. Hopsworks offers both shift-left (precompute) and shift-right (on-demand) options to suit different use cases.

Coval, a voice AI testing startup, raised $28M to expand its platform as more enterprises deploy voice agents. Founded in 2024, Coval offers simulation, live performance tracking, and data labeling for voice and chat agents. Customers include Zoom and Deepgram. The funding round brings total to $31M.

Princeton researchers are using reinforcement learning and generative AI to design radio-frequency integrated circuits (RFICs) from scratch, producing chips that outperform human designs in record time. The AI generates unconventional layouts that push performance limits, but the field needs open datasets to advance further.

ZerfAI is a tool that uses AI to analyze user complaints from Reddit, Hacker News, and GitHub to generate micro SaaS ideas, helping entrepreneurs find opportunities from real pain points.

This article explores the accelerating pace of human progress, introducing the concept of the Law of Accelerating Returns and explaining why we tend to underestimate future advancements. Using analogies like time travel, it illustrates how exponential growth will lead to a world in 2050 that is unrecognizable today, setting the stage for the coming AI revolution.

This article explains why large context windows are not the same as agent memory, and how retrieval, compression, and summarization techniques fit together in an agent’s cognitive stack.

About 1,600 workers signed petition against tool that tracked staff keystrokes, mouse clicks and computer screen content. Meta pauses the program.

Grass 2.0 provides coding agents (Claude Code, Codex, OpenCode) with an always-on cloud computer, allowing you to monitor progress, approve decisions, and push changes from your iPhone. The redesigned, faster version is now on the App Store, with 10 free hours per new account, no credit card required.

The article argues that the AI agent industry is falling into a 'tool trap' by obsessing over protocols like MCP and AI Skills while neglecting the true strategic discipline: Agent Experience (AX). The author contends that protocols will keep changing, and understanding how agents interact with your systems and optimizing that experience is the key to long-term competitiveness. The piece outlines five steps to build an AX practice and emphasizes that AX is an extension of UX, DX, and CX.

Harness-1 is a compact retrieval agent that separates state management from the model, using an eight-tool interface and two-phase compression for efficient search.

Execlave is an AI agent management platform that provides real-time policy enforcement, security monitoring, and compliance auditing to keep AI agent behavior under control. It supports multiple policy types, compliance frameworks, and offers both cloud and self-hosted deployment options.

A deep dive into one of the most important techniques in modern AI — distillation — and how it addresses the cost, deployment, and specialization challenges of large-scale models.

A senior engineer reflects on why debugging remains crucial in the era of AI coding agents. While agents can produce confident but wrong explanations, humans must rely on hypothesis construction, evidence gathering, and learning system invariants to debug effectively. The article offers practical advice for cultivating debugging skills.

A German court ruled that Google is liable for its AI search summaries, rejecting defenses that users can check for themselves, and holding that the summaries are an expression of Google's business activities.

Local coding models are now mature, running on consumer GPUs with privacy and efficiency. This article reviews the best seven models, covering general coding, multimodal, reasoning, and more.

Samsung Electronics is expanding employee access to ChatGPT Enterprise and Codex, giving staff wider use of AI tools for technical and non-technical work. The deployment covers all Samsung Electronics employees in Korea and all Device eXperience employees worldwide, reversing earlier restrictions due to data security concerns.

Cory Doctorow discusses the dual impact of AI on workers: some find it helpful while others feel miserable. He clarifies he is not anti-AI but critical of its misuse. He defends web scraping for AI training as beneficial and warns against making internet records illegal.

Amazon Prime Day is on now, and ZDNET is tracking the best discounts in real time across TVs, laptops, tablets, smartwatches, phones, headphones, vacuums, and more. Plus, competing deals from Walmart, Costco, and Sam's Club. Sale runs through June 26; members can save at least 20%.

A study finds only 7% of Americans rely on AI tools for news, ranking AI at the bottom of news sources, and many distrust AI-assisted reporting.

GELab-Zero is an open-source Android GUI Agent framework providing plug-and-play inference infrastructure and a 4B model. It supports local deployment, one-click launch, task distribution, and three agent modes. Its self-built benchmark AndroidDaily covers daily life scenarios, achieving 73.4% accuracy on static tests and 75.86% success rate on end-to-end tasks.

This complete guide for indie developers covers ASO ranking factors, metadata fields, iOS vs Google Play differences, and a 90-day playbook to move apps from obscurity to top-3 visibility. Key updates: Apple's OCR indexing of screenshot text (2025), conversion rate as a ranking signal, and the compounding flywheel of visual quality and ratings.

This tutorial demonstrates how to build a fully offline Graphify workflow that transforms a realistic multi-module Python application into a knowledge graph. It covers installing Graphify and graph libraries, generating a sample app, extracting the graph locally using tree-sitter without any API key or LLM backend, analyzing the codebase with NetworkX (file types, relationships, centrality, community detection, shortest paths), and creating both static and interactive visualizations to understand how modules, classes, functions, and database objects connect.

Nous Research has introduced /learn, a new command in the Hermes Agent Skills System that automatically generates reusable skills from various sources. The command uses the agent's existing tools to source material and writes a standards-compliant SKILL.md file. Skills are loaded progressively to keep token usage low, and the system supports multiple creation methods including manual writing, auto-saving, and Hub installation.

Heron is a passive network analyzer that reconstructs what AI agents are doing by capturing TLS-encrypted LLM calls via eBPF, with zero SDKs or proxies. It's open-source, Rust-based, and latest v0.7.0 aligns with OpenTelemetry, adds eBPF capture discovery, auto-filters hidden sidecars, and enables one-click SFT trajectory export for fine-tuning.

The writer who coined the word ‘enshittification’ tells us why AI will never deliver what it promises – and why it still appeals so much to those in power. He introduces the concept of 'reverse centaur' where humans become assistants to machines, and warns of AI's potential societal threats.

The debate between forward-deployed engineers (FDEs) and AI engineers continues. FDE job postings surged 1,165%, but Andrew Ng argues AI engineers have more potential. Experts suggest that integration skills and practical impact matter more than titles, and a new 'human systems architect' role is emerging.

Anthropic launched a beta version of its Claude Tag feature for Enterprise and Team tiers, integrating its chat model into shared Slack channels. Users can invoke the AI by @Claude to delegate tasks, review outputs, and track context. This follows a $65B Series H funding round, valuing Anthropic at $965B, surpassing OpenAI's $852B. Internal data shows 34.4% enterprise adoption rate, ahead of OpenAI's 32.3%. The feature is built on Opus 4.8, supports asynchronous work, and includes ambient monitoring. While boosting productivity, it also introduces data exposure and governance challenges.

This page details how LibLS uses AI in its creation and maintenance. AI is never used for core concepts or IP, only for auxiliary tasks under human oversight.