Major tech giants like Meta, Amazon, and Google are ramping up their AI investments to a staggering $325 billion in 2025, a 46% surge from 2024, despite investors' concerns over the lack of clear revenue streams from AI offerings, as these companies bet big on long-term payoffs.
OpenAI readies the release of GPT-5, a groundbreaking AI model combining traditional and reasoning capabilities, with mini and nano versions accessible via its API in August 2025.
Microsoft raids Google DeepMind for AI talent, hiring around two dozen employees in recent months to bolster its Copilot assistant led by former DeepMind co-founder Mustafa Suleyman, intensifying the fierce competition between tech giants for top AI talent.
Groundbreaking techniques like zero-shot prompting, few-shot prompting, RAG, and providing tools unlock the true potential of large language models (LLMs) by mastering context engineering, the art of supplying precise context to enhance performance while navigating challenges like context length and context rot.
In a stunning move, Meta offers a potential AI hire an eye-watering $1.25 billion contract over four years, amounting to $312 million annually, but the individual rejects the staggering offer as tech giants wage a fierce battle for elite AI talent.
In a groundbreaking achievement, the AI system Gemini, powered by Deep Think, conquers the prestigious International Mathematical Olympiad, earning a gold medal with a perfect score on five out of six complex math problems through innovative parallel thinking and reinforcement learning techniques.
OpenAI aggressively expands its AI capabilities, aiming for 1 million GPUs by year-end and an astonishing 100 million GPUs worth $3 trillion, fueling concerns about AI supremacy as its Texas data center becomes the world's largest at 1 gigawatt by 2026.
DeepSeek V3, OLMo 2, and Gemma 3 unleash groundbreaking transformer models, harnessing techniques like Multi-Head Latent Attention, QK-norm, and sliding window attention for improved efficiency, stability, and reduced memory footprint.
Meta unveils a groundbreaking AI framework, MTTT, that enables models to learn how to learn at test time, removing the need for human-designed self-supervised tasks and outperforming linear attention on long sequences while maintaining linear complexity.
OpenAI researchers Jason Wei and Hyung Won Chung depart for Meta's superintelligence lab, amid an AI talent war where Meta offers up to $300 million over four years to top AI talent.