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America needs to stop getting shocked by Chinese AI
People visit the booth of Kimi, an LLM developed by the Chinese startup Moonshot, during the World AI Conference in Shanghai, China, Monday, July 20, 2026. | Image: LONG WEI/ Feature China/Future Publishing via Getty Images Last week, two Chinese AI companies unveiled models they say can credibly compete with the best systems from OpenAI and Anthropic. The response was swift and predictable. Markets wobbled, commentators declared Silicon Valley shooketh, and policymakers reached for the familiar language of arms races and wake-up calls. In one headline, The Associated Press said a Chinese model had taken the "US tech industry by surprise." Bloomberg described it as a "surprise breakthrough" that is "roiling markets" and sending global tech stocks tumbling over concerns it could force US firms to rethink their gargantuan spending on data centers, chips, and ot … Read the full story at The Verge.
Who’s afraid of the big, bad GPU?
How does AI make you feel? Are you excited to “vibe-code” your smart home? Or anxious about all the added pollution and billions of gallons of water used by data centers? Dig a little deeper and you’ll start to question the actual value of the GPUs that underpin all the leaps and promises of generative AI. Right now, GPUs, hundreds of thousands of them, are being crammed into data centers around the world to power the AI boom. These chips are also found in everything from smartphones to cars to gaming PCs. Nvidia — once a niche chipmaker that has become the world’s most valuable company — still brags about releasing what it calls “the world’s first GPU” and a “gaming breakthrough” in 1999, although some trace the origins of the GPU back to at least the ’70s with graphics hardware used in arcade games. “There are massive hardware developments that start because of games,” says Catherine Flick, a professor of ethics and games technology at University of Staffordshire. And whether it’s a
Gritt exits stealth with $34 million for robots to build solar plants—then, everything else
Gritt is coming out of stealth with $34 million and plan to automate the hardest tasks on construction sites.
AI Career Guide: How to Build a Successful Future in Artificial Intelligence
The growth of artificial intelligence (AI) is reshaping lives and work processes all across the world, from self-driving automobiles to Continue reading on Medium »
Common Tally Reporting Problems and How AI Solves Them
If you ve ever run a business finance team in India, chances are Tally has been part of your life for years, maybe even decades. It s Continue reading on Medium »
Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
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AI Doesn’t Trust Every Brand — It Trusts Consistent Entities
Why Trust Is Becoming the New Ranking Signal in AI SearchContinue reading on Medium »
Accuracy, Precision & Recall — Why One Number Is Never Enough
Series 2, Part 8: Technical AI Terms, Simply ExplainedContinue reading on Medium »
Atlassian: Why AI speeds up employees but not organizations
Presented by Atlassian Most companies are approaching AI adoption backwards by optimizing how individuals use AI instead of how teams work together, said Dr. Molly Sands, head of the Teamwork Lab at Atlassian, during a fireside chat with VentureBeat senior technology contributor Sam Witteveen at VB Transform 2026.Sands leads a team of behavioral scientists and psychologists who study how AI is reshaping the way people work together, using those findings to help organizations redesign how work gets done. We don t just study it, we also actively go in and change it, she explained. Her teams teach new ways of working and remap how work flows across companies, a challenge that many organizations are still struggling with, she said.Why AI speed isn’t translating into ROIAtlassian s annual State of Teams Report, which this year surveyed 12,000 global knowledge workers and interviewed roughly 200 Fortune 1000 executives, found a significant disconnect between activity and value, showing that
อวสาน code review
open source code review AI agent pr-agent contribute open source project Continue reading on Medium »
Drupal AI Agents: Transforming Enterprise Content Management
Artificial intelligence is changing the way organizations manage digital content, and AI agents are at the center of this transformation Continue reading on Medium »
DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth
arXiv:2607.16203v1 Announce Type: new Abstract: Document parsing is a foundational step for document understanding tasks such as visual question answering and key information extraction, as it transforms unstructured scanned images into structured representations by extracting textual, visual, and layout information. While numerous Optical Character Recognition (OCR) engines and multimodal large language models (MLLMs) have been developed for this purpose, selecting an appropriate document parsing solution for a given document collection remains challenging, particularly in label-scarce settings. In this work, we conduct a systematic evaluation of text recognition performance across a diverse set of OCR engines and state-of-the-art MLLMs on multiple scanned document benchmarks spanning different domains and languages. Motivated by the limited contextual reasoning capabilities of many OCR engines and the high cost of manual annotations, we propose DocOCR-Eval, an annotation-free evaluat