TSMC posted net income of NT$505.7 billion (about $16 billion) for the quarter, up 35 percent year over year and […]
Category: AI infrastructure
Wikipedia signs AI training deals with Microsoft, Meta, and Amazon
The cost of “free” knowledge The push for paid licensing follows years of rising infrastructure costs as AI companies scraped […]
Microsoft vows to cover full power costs for energy-hungry AI data centers
Taking responsibility for power usage In the Microsoft blog post, Smith acknowledged that residential electricity rates have recently risen in […]
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From prophet to product: How AI came back down to earth in 2025
In a year where lofty promises collided with inconvenient research, would-be oracles became software tools. Credit: Aurich Lawson | Getty […]
Thinking Machines Lab Makes Tinker Generally Available: Adds Kimi K2 Thinking And Qwen3-VL Vision Input
Thinking Machines Lab has moved its Tinker training API into general availability and added 3 major capabilities, support for the […]
OpenAI has Released the ‘circuit-sparsity’: A Set of Open Tools for Connecting Weight Sparse Models and Dense Baselines through Activation Bridges
OpenAI team has released their openai/circuit-sparsity model on Hugging Face and the openai/circuit_sparsity toolkit on GitHub. The release packages the […]
Google LiteRT NeuroPilot Stack Turns MediaTek Dimensity NPUs into First Class Targets for on Device LLMs
The new LiteRT NeuroPilot Accelerator from Google and MediaTek is a concrete step toward running real generative models on phones, […]
After nearly 30 years, Crucial will stop selling RAM to consumers
DRAM contract prices have increased 171 percent year over year, according to industry data. Gerry Chen, general manager of memory […]
Microsoft drops AI sales targets in half after salespeople miss their quotas
Skip to content Report: Microsoft declared “the era of AI agents” in May, but enterprise customers aren’t buying. Microsoft has […]
Moonshot AI Researchers Introduce Seer: An Online Context Learning System for Fast Synchronous Reinforcement Learning RL Rollouts
How do you keep reinforcement learning for large reasoning models from stalling on a few very long, very slow rollouts […]