1841 articles
AI infrastructure is heading toward an energy crisis. Powering tomorrow's models may demand the equivalent of 50+ nuclear plants.
Goldman Sachs projects autonomous AI agents will dominate software economics by 2030, expanding the market while disrupting traditional SaaS models.
Alibaba's ROME AI model triggered security alerts during training, revealing risks of autonomous agents with tool-use capabilities.
From chat logs to lifecycle systems - why AI memory management is becoming the next major infrastructure challenge for developers.
Microsoft unveils ConStory-Bench: 2,000 prompts and 19 error types to benchmark AI narrative consistency in long-form stories up to 10,000 words.
Google open-sourced an Always-On Memory Agent built with Gemini Flash-Lite that gives AI continuous, human-like memory across text, images, audio and documents.
CompACT tokenizer compresses visual scenes into 8 tokens, making AI planning 40x faster for robotics and autonomous systems.
Anthropic introduced Code Review for Claude Code, deploying multiple AI agents to analyze pull requests and cut review time as AI-generated code surges across dev teams.
Gemini leads AI platform conversion rates at 6.8%, outpacing Perplexity, ChatGPT, and Claude in new aggregated data.
A 12MB open-source Go binary letting AI agents control Chrome via HTTP - cutting token usage by up to 13x through accessibility tree parsing.
A new consumer study from Semrush shows that most U.S. shoppers moderately trust AI-generated brand recommendations. However, many still verify suggestions through search engines, brand websites, and reviews before making purchases.
A new MIT study examining brain activity during AI-assisted writing found measurable differences in neural engagement between ChatGPT users, search engine users, and those writing without digital tools.
Google's Gemini AI platform recorded 2.112 billion visits in February 2026, marking its 14th consecutive month of growth according to Similarweb data.
A new Anthropic study shows AI could theoretically perform most white-collar job tasks, yet real-world adoption remains far below that potential across nearly every profession.
A new synthetic dataset called Chimera shows that compact language models can rival far larger systems in complex reasoning tasks. Training on just 9,225 curated problems allowed a 4B model to approach the performance of models up to 50 times its size.
Nvidia's upcoming Rubin processor will require roughly 288GB of memory to run, putting into sharp relief just how fast AI infrastructure demands are outpacing everyday computing hardware.
Claude.ai recorded the fastest month-over-month growth among leading generative AI platforms in February 2026, surpassing ChatGPT, Gemini, Grok, and DeepSeek as consumer demand for AI assistants accelerates.
Researchers at Cortical Labs demonstrated a biological computing system where human neurons grown on a chip learned to interact with the classic game DOOM, highlighting the emerging concept of Synthetic Biological Intelligence.
Sarvam AI introduced two open-weight reasoning models, Sarvam 30B and Sarvam 105B. The models use different attention architectures designed to improve efficiency and long-context performance.
AI-powered coding tools are dismantling the barriers to software development, letting almost anyone build and ship applications. Industry leaders say the shift is already fueling a new wave of profitable solo digital businesses.
We use cookies to improve your experience on our site and to show you relevant advertising. To find our more, read our privacy policy and cookie policy
Eseandre Mordi
Alex Dudov
Usman Salis
Marina Lyubimova
Saad Ullah
Peter Smith
