1846 articles
METR's latest research reveals AI model time horizons are accelerating beyond exponential growth patterns, signaling rapid advances in how long systems can maintain coherent reasoning across complex tasks.
AI data center developers are installing jet-engine-based gas turbines and diesel generators on site to secure power within months, bypassing grid connections that can take up to seven years, despite higher costs and emissions.
Fresh data from Epoch AI reveals Google commanding U.S. frontier AI data-center capacity in mid-2025, with Amazon-backed Anthropic securing second place ahead of OpenAI in the infrastructure arms race.
Recent analysis reveals critical challenges in AI robotics development, including hardware outpacing software capabilities, absent industry benchmarking standards, and fundamental flaws in current training architectures that may limit real-world deployment.
Physicist Brian Cox says consciousness is the most complex emergent system known, suggesting that a sufficiently powerful computer could one day model the human brain. His remarks come as AI and AGI development continues to accelerate worldwide.
Elon Musk announced xAI expects to surpass all rivals in AI compute within five years, backed by massive data center expansion and plans to deploy 50 million GPUs.
New research reveals a looming 44-gigawatt electricity shortfall threatening U.S. AI data centers through 2028, potentially requiring $4.6 trillion in power generation and infrastructure investments.
A new "System 3" thinking layer aims to give AI agents the ability to learn from experience, build identity over time, and improve themselves—capabilities that go beyond today's perception and logic-based systems.
ByteDance and Zhejiang University launched OpenVE-3M, a massive dataset for instruction-based video editing, alongside a 5-billion-parameter model delivering state-of-the-art results. The breakthrough demonstrates AI's growing ability to handle complex natural-language editing commands.
A fresh look at advanced chip patterning shows that combining Double SADP with SALELE and fully self-aligned vias could slash the number of masks needed at cutting-edge nodes—potentially making chip production cheaper and faster.
Google's AI tool NotebookLM is getting solid feedback for its Mindmap feature, which users say makes learning and understanding complex topics much easier, including analyzing code structures.
Fresh Goldman Sachs data reveals IT budgets are staying at unusually high levels going into 2026, pointing to solid demand for tech companies and hardware makers.
Big Tech concentration has defined recent markets, with Nvidia leading the $3 trillion AI boom. But market history shows peak dominance often marks the beginning of decades-long underperformance.
LangChain just rolled out the LLM Inference Visualizer—a hands-on tool that lets you see exactly how context, prompts, and workflows shape what AI models spit out, all happening right before your eyes.
LangChain just rolled out a unified Gemini integration for LangChainJS, merging six packages into one and making authentication way simpler for AI Studio and Vertex AI users.
Chinese scientists just dropped a bombshell optical computing chip that crushes Nvidia's top GPU by over 100x in speed and efficiency. This breakthrough is pushing AI adoption way beyond the usual suspects, fueling a 10% earnings jump in the S&P 500's Impressive-493 as competition heats up across industries.
Kuaishou Technology drops a fresh approach to AI training stability with Entropy Ratio Clipping (ERC) - a method that keeps AI behavior in check by managing overall randomness instead of just tweaking individual updates, beating out PPO-Clip across multiple tests.
Liquid AI's new LFM2-2.6B-Exp proves that size isn't everything—this 3B-class model uses pure reinforcement learning to outperform much larger competitors on instruction following, knowledge extraction, and math tasks.
MirrorMe's Black Panther II robot dog clocks a blistering 13.4 m/s top speed, proving AI and hardware can work together to create seriously impressive autonomous machines.
Tesla's evolving from carmaker to AI powerhouse, betting big on self-driving tech and robotics. Here's how the company's chasing a $3 trillion valuation through full-stack intelligent systems.
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Sergey Diakov
Usman Salis
Saad Ullah
Peter Smith
Victoria Bazir
Eseandre Mordi
Marina Lyubimova
Alex Dudov
