1841 articles
OpenAI is reportedly running out of GPUs almost daily as recent product launches pile on the pressure. Until new compute infrastructure like "Stargate" comes online next year, every new feature risks pushing the system closer to its limits.
McKinsey's 2025 AI Report shows most companies are using AI but few are getting real results. While 88% have adopted AI tools, most remain stuck in testing phases with limited business impact.
Grok 4 Fast now features a massive 2 million-token context window, allowing users to process entire codebases or lengthy documents in one go. Initial tests show impressive speed and stability improvements.
A recent comparison demonstrates that Nano-banana 2 produces much clearer and more accurate text rendering than its earlier version, marking significant progress in how AI handles mathematical formatting.
Sam Altman shares an ambitious timeline for AI development, expecting small scientific discoveries by 2026 and major breakthroughs starting in 2028, alongside plummeting costs and dramatic efficiency gains.
Oracle's Larry Ellison believes companies with exclusive datasets have a stronger edge than AI models using public web data, highlighting HIMS, DUOL, and LMND as potential winners.
Data center financing is exploding in 2025, with debt issuance projected to hit $25.4 billion as the AI infrastructure race intensifies and operators scramble to build the computing power needed for next-generation models.
Nano Banana 2 has unexpectedly shown up in Preview mode on Media IO. Multiple users have confirmed access, though experts warn it might not stick around for long.
ChatGPT maintains its position as the world's fifth most-visited website in October 2025, outpacing major platforms like X and Reddit while demonstrating consistent monthly growth.
A new analysis suggests global token generation is accelerating so fast that machine-created text could surpass all human speech by 2032—raising questions about how governments might regulate or tax an economy built on exponentially expanding AI data.
A new image-generation model from Nano Banana/GemPix 2 is turning heads after nailing two notoriously tough visual accuracy tests in a single image—something most AI systems struggle to do.
Google has launched DS-STAR, an advanced AI agent that automates data science workflows and handles messy, multi-file datasets with unprecedented accuracy, achieving top benchmarks in real-world data analysis tasks.
Two industry analysts report that China's Kimi AI model cost just $4.6 million to train—roughly 1/100th of what comparable U.S. models require—sparking debate about whether resource constraints are driving unexpected innovation advantages.
xAI's Grok-4-Fast just landed a massive upgrade, pushing reasoning accuracy from 77.5% to 94.1% and non-reasoning performance from 77.9% to 97.9% — one of the biggest leaps in the model's history.
Google Research launched Nested Learning, an AI framework that lets models learn continuously without forgetting past knowledge. Their Hope model shows strong improvements in handling long contexts and maintaining memory.
A new AI model believed to be GPT-5.1 takes the lead in creative writing as crypto mining faces regulatory challenges.
Fresh code snippets from OpenAI's Enterprise RBAC system hint that three GPT-5.1 models are on the way. Developer screenshots show internal descriptions for GPT-5.1, GPT-5.1 Reasoning, and GPT-5.1 Pro.
Anthropic's revenue has skyrocketed over ninefold in just one year, prompting the AI company to expand its workforce with new local teams to keep up with surging demand.
The Magnificent 7 now control a record 35.9% of the S&P 500's market cap, pushed higher by AI excitement, while generating just 26.8% of actual profits.
Morgan Stanley predicts private credit will supply over half of the $1.5 trillion needed for data center expansion, fundamentally changing how AI infrastructure gets funded.
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Peter Smith
Saad Ullah
Marina Lyubimova
Eseandre Mordi
Usman Salis
Sergey Diakov
Alex Dudov
