The models, research, and breakthroughs reshaping how machines think.
Microsoft's open-source SkillOpt framework revolutionizes AI agent development by automatically upgrading capabilities without expensive model fine-tuning. It promises faster, more efficient, and scalable deployment of adaptive intelligent agents.
Supermicro is raising $7 billion to fulfill a staggering $39 billion in AI server orders, positioning itself as the unsung hardware kingmaker of the artificial intelligence boom. This capital injection underscores the immense, tangible demand for physical infrastructure driving the future of AI.
Google's latest Gemini for Home update transcends simple commands, delivering hyper-personalized weather and intelligent news briefs. It marks a significant leap towards a truly proactive, context-aware AI assistant, anticipating user needs and seamlessly integrating into daily routines.
Anthropic built a model strong enough to design drugs and break security, then chose not to release it to the public. That choice may matter more than the capabilities.
Ask a room of programmers which AI they reach for to write code, and one name keeps surfacing that the general public barely discusses: Anthropic's Claude.
While rivals chase the generative AI zeitgeist with public fervor, Apple has maintained a characteristic silence. We dissect the company's long-term AI strategy, examining how their unique blend of on-device processing, privacy, and deep hardware-software integration could position them for a profound impact by 2026, potentially reshaping the AI landscape from within. Is the 'sleeping giant' about to awaken?
The most important number in AI stopped being the benchmark score. It's the cost of a million tokens, and it's collapsing faster than almost anyone planned for.
