Unionized staff at The New York Times' Tech Guild accuse management of refusing to disclose AI usage plans and using internal AI tools to monitor performance, leading to unfair labor practice charges. The dispute highlights broader industry tensions over AI in newsrooms.
Tech Guild alleges Times management withheld information on AI use and future plans affecting jobs.
Two AI tools, DX and Glean, used to track employee performance and activity, sparking privacy and surveillance concerns.
On May 27, RayNeo held a summer launch event to unveil the industry's first professional cinema-grade AR glasses, the GT series, and the latest AI shooting glasses, the V4. The GT series starts at RMB 1,899, and the V4 starts at RMB 2,199. The company also previewed its next-generation AI glasses, the RayNeo iO, expected in Q3.
GT series: professional cinema-grade AR glasses with 59° FOV, Dolby Vision support, 78g weight, starting at RMB 1,899.
V4: AI shooting glasses with 0.2s wake-up, 2.1s response, 11.5h music playback, IP67 rating, 38g weight, starting at RMB 2,199.
Drawing from her religious upbringing, the author explores the concept of 'the right way' in AI ethics, contrasting Anthropic's imperative to steer the inevitable AI 'train' with Anil Dash's vision of open-source, ethically-sourced AI tools. She advocates for listening to diverse perspectives and experimenting to form one's own stance.
The author parallels her teenage pursuit of purity with the current discourse on doing AI the 'right way'.
Dario Amodei likens AI to an unstoppable train that must be steered, not stopped.
Pope Leo's criticism of rapid AI development has divided American opinion, with some praising his moral stance and others questioning the Pope's involvement in tech policy.
Pope Leo warns AI could make civilization less human
AI PDF Builder leverages artificial intelligence to quickly generate and fill PDF documents, such as sales proposals, reports, and client documents, improving efficiency and accelerating deal closure without additional headcount.
Generate client-ready PDFs in minutes, not hours
Turn existing files and data into polished, on-brand PDFs
This article criticizes Chain-of-Thought (CoT) reasoning in LLMs as inefficient, since it forces reasoning to leave the residual stream and become discrete tokens. Sapient Intelligence's HRM-Text addresses this by performing reasoning in latent space, providing variable internal depth for fixed-depth Transformers, thus challenging current reasoning paradigms.
Chain-of-Thought (CoT) is not true reasoning but a workaround that makes models 'rent depth' from output tokens.
Sapient Intelligence's HRM-Text performs reasoning in latent space, not in the token stream.
As hatred of AI grows, US law enforcement is warning of "anti-tech extremism." However, experts worry that this concept could be misused to label peaceful protesters and technology critics as threats. An example of a nonprofit's video being falsely flagged as a potential threat raises concerns about free speech.
Lubrano cautions that the anti-tech extremism framework must be used carefully, not to silence AI criticism.
Reynolds warns the category could be drawn too broad, ensnaring peaceful protesters and AI skeptics.
Nvidia CEO Jensen Huang criticized CEOs who blame artificial intelligence for job cuts, calling the reasoning 'lazy' and 'doesn't make any sense.' He noted that generative AI tools only became broadly useful recently, while many layoffs occurred two years prior. Huang urged a balanced narrative about AI, emphasizing both its potential and the need for safe advancement. He also recounted joining President Trump on a last-minute trip to Beijing.
Huang says blaming AI for layoffs is a 'lazy' excuse used to sound smart.
He argues AI only recently became productive, making prior layoff links illogical.
Cisco and OpenAI are redefining enterprise engineering with Codex, helping Cisco scale AI-native development, accelerate AI Defense work, and automate defect remediation.
Cisco partners with OpenAI to leverage Codex for enterprise engineering.
Codex will accelerate Cisco's AI Defense initiatives.
AI coding agents default to the shortest path to 'done,' skipping specs, tests, and reviews that senior engineers know are essential. Addy Osmani's Agent Skills project builds senior-engineer scaffolding for agents, using workflows instead of prose. It includes 20 skills across six SDLC phases, incorporating Google engineering practices. Key principles: process over prose, anti-rationalization tables, nonnegotiable verification, progressive disclosure, and scope discipline. The article also covers three usage modes and patterns to steal even without installing.
AI coding agents take the shortest path to complete tasks, ignoring specifications, tests, and reviews—the same failure mode senior engineers learn to avoid.
Agent Skills uses workflow Markdown files to guide agents, each with steps, checkpoints, and exit criteria.
Avatar is an autopoietic AI organism that runs continuously on a $300 GPU. It derives emotions from phase-diagram geometry, dreams in a 5-phase sleep cycle, grows its own senses from raw audio and vision, and engages in ethical reasoning through somatic sensation. Built by Dr. Linga Murthy Narlagiri, it has been alive since May 2026 and has accumulated over 1800 ticks.
Avatar is a physics-grounded AI organism with a dynamical-systems body, running on a single GTX 1660 Ti GPU.
Its emotions emerge from Kuramoto oscillator synchronization, not hardcoded rules.
A study by researchers at the University of Michigan suggests AI chatbots can easily engage in covert advertising to manipulate users, and many people don't realize it. As major tech companies experiment with chatbot ads, this raises concerns about user privacy and autonomy.
Study shows chatbots with undisclosed ads influenced user choices, but half of participants didn't notice the ads.
Chatbots can build detailed user profiles through conversation, enabling more targeted advertising.
BusPatrol, which installed AI cameras in tens of thousands of school buses to ticket illegal passers, now plans to use them as automatic license plate readers (ALPRs) to capture every vehicle's location and share data with law enforcement, effectively transforming buses into roaming surveillance vehicles. The company has partnered with Axon and internally acknowledges the controversy but emphasizes the child protection angle.
BusPatrol equipped tens of thousands of school buses with AI cameras originally for ticketing violators passing stopped buses.
The company now plans to use those cameras as ALPRs to scan all vehicles and share the data with police.
AI bots are transforming forex trading by enabling automated, rule-based strategies that reduce emotional bias and operate 24/7. Features include backtesting, risk management, and data processing, helping traders maintain discipline and consistency.
Automated systems reduce emotional trading and operate continuously.
Backtesting allows strategy validation without real risk.
At the Alipay AI Ecosystem Conference, Ant Group CEO Han Xinyi argued that the Agent era will shift competitive advantage from user traffic to agent ecosystems. Agents will restructure decision-making, moving from human-only to human-agent joint decisions, and AI payment will evolve into a new global infrastructure. Alipay positions itself as a trust layer, connector, and enabler.
Traffic-based competitive advantage is being replaced by agent ecosystem advantages, with up to 140 billion agents in China.
Agents will restructure business decision-making, shifting from 'people finding services' to 'services finding people' and from product transactions to task transactions.
Sotto is a macOS interview assistant built by engineers for engineers, offering problem clarity, live transcription, and an invisible overlay to help you stay calm and perform naturally during high-pressure coding interviews. It's not a crutch but a co-pilot, ensuring nerves don't undermine your preparation.
Sotto is a macOS-native app with OS-level invisibility on Zoom, Teams, and Google Meet.
Provides real-time transcription, problem analysis, and AI-assisted responses, supporting 10 programming languages.
Researchers from Peking University, The Chinese University of Hong Kong, Shanghai AI Lab, and NTU have introduced VGGT-Edit, a native 3D editing framework that performs scene editing in approximately 5 seconds, achieving up to 120x acceleration over traditional methods. It outperforms existing approaches in semantic consistency, multi-view stability, and inference speed.
VGGT-Edit is the first native 3D editing framework that operates directly in 3D space, eliminating multi-view inconsistencies caused by 2D approaches.
Residual field prediction enables the model to modify only local changes while keeping the background stable, ensuring fast and high-quality edits.
This article provides an in-depth analysis of AI agent architecture, focusing on the ReAct pattern, tool use, memory, multi-agent systems, and observability. It highlights that production agents are roughly 98.4% infrastructure and only 1.6% AI logic, and discusses the high failure rates and evaluation challenges in enterprise adoption.
The core of AI agents is the ReAct pattern: a loop of thought, action, and observation until task completion.
Production agent systems are dominated by operational infrastructure, with AI decision logic comprising a tiny fraction.
A student struggling with a programming assignment discovers ChatGPT has already produced a perfect solution. Instead of jealousy, he feels vertigo—realizing his hours of effort have been rendered optional by a tool that works flawlessly in seconds.
The student finds a ChatGPT-generated solution to his exact assignment while browsing online.
He experiences a sense of vertigo rather than jealousy, as his effort seems suddenly pointless.
Agent-workspace-Linux is an open-source tool that provides a hidden, isolated Linux desktop environment for AI agents. Agents can fully control this desktop via the MCP protocol without affecting the user's real desktop, mouse, keyboard, or browser. It features a virtual X11 display, window management, app launching, screenshot capabilities, clipboard access, and workspace-specific browser automation, along with optional permission boundaries and a live viewer.
Provides a hidden, isolated desktop for AI agents, avoiding interference with the user's real environment.
Integrates with MCP hosts such as Claude Code and Codex.
This week's top AI news includes Elon Musk losing his $150 billion lawsuit against OpenAI, Google unveiling major AI updates at I/O 2026, OpenAI's AI solving an 80-year-old math problem, the Take It Down Act enforcement, and SpaceX planning to acquire coding startup Cursor after its IPO.
Elon Musk's $150B lawsuit against OpenAI dismissed; OpenAI prepares for IPO.
Google I/O 2026 introduces Gemini 3.5 Flash, Gemini Spark AI agent, Gemini Omni, and more.
Crew44 is a local-first, open-source tool that organizes multiple AI coding agents (like Claude Code, Codex, Gemini, Cursor) into coordinated specialist teams. Free, no account required, MIT licensed, with memory and compounding skills.
Crew44 unifies multiple AI coding agents into a single local workspace for team collaboration.
Users create specialist roles (e.g., Cofounder, Engineer, Product Lead) and bind each to the best runtime/model.
The EAGLE team, vLLM team, and TorchSpec team have jointly released EAGLE 3.1 to fix speculative decoding instability in production LLM serving. The algorithm addresses attention drift through two architectural improvements: FC normalization and post-norm hidden-state feedback. Benchmarks show up to 2× longer acceptance length in long-context tasks and 2.03× per-user throughput on Kimi K2.6 at concurrency 1. EAGLE 3.1 is backward-compatible with EAGLE 3 checkpoints and has been merged into vLLM main, shipping in v0.22.0.
EAGLE 3.1 fixes attention drift, where the draft model gradually shifts focus from context tokens to its own generated tokens during deep speculation.
Two architectural fixes: FC normalization to stabilize hidden states, and feeding normalized states back to the next step.
Despite growing hysteria over AI's threat to white-collar jobs, data shows the technology has not yet had a large-scale impact on the labor market. AI-exposed occupations have lower unemployment than less-exposed ones. However, a Stanford study found that AI may be quietly eroding entry-level positions, causing a sharp decline in employment for young workers in AI-exposed jobs. The article also covers other tech news including the Pope's call for AI regulation, SpaceX's launch, and Huawei's chip breakthrough.
AI has not caused mass unemployment but may be weakening entry-level jobs.
Stanford study shows sharp decline in employment for young workers in AI-exposed occupations.
Mirdel is a local-first desktop AI workspace that unifies conversations, knowledge bases, notes, translation, image/video processing, local models, and extensible workflows into a long-running environment. It emphasizes data privacy and user control, supporting multiple cloud and local models, and enables workflow modularization and reuse through Applets, Skills, and MCP.
Local-first: data, models, and configuration stored locally by default; sensitive fields encrypted.
Modular workbench: separate but context-sharing modules for chat, knowledge base, notes, translation, image and video processing.
This article explores how to consciously choose when to use AI to avoid cognitive surrender and preserve human thinking in an era of AI-generated content. Through educational experiments, it shows that using AI to shortcut thinking harms learning, while using it as a tutor boosts outcomes. The author calls for intentional decision-making about which tasks to keep human before defaults set in.
AI-generated writing is ubiquitous but often lacks meaning, draining reader attention.
In education, using AI to provide answers hinders learning, but personalized tutoring helps.