MediaTek sets ambitious goal to capture 10-15% of the $50 billion data center ASIC chip market, targeting $1 billion in cloud AI chip revenue by 2026 through partnerships with Nvidia on the GB10 Grace Blackwell Superchip.
Cognition unveils SWE-1.5, a breakthrough AI coding model with hundreds of billions of parameters that blazes at 950 tokens per second—13x faster than Sonnet 4.5—while delivering near state-of-the-art performance through advanced reinforcement learning and partnership with Cerebras infrastructure.
Cursor 2.0 launches with breakthrough Composer AI that codes 4x faster than competitors, completing most programming tasks in under 30 seconds while introducing agent-based interface that runs multiple coding processes simultaneously without interference.
Major AI interpretability research approaches including feature visualizations, saliency maps, and sparse autoencoders fail to decode how neural networks actually work after over a decade of investment, prompting Google DeepMind to abandon leading techniques and researchers to shift toward higher-level analysis methods.
Cursor launches Composer, a revolutionary AI coding agent that generates software four times faster than competitors using advanced mixture-of-experts architecture and reinforcement learning trained on real-world engineering challenges.
Qualcomm launches AI200 and AI250 chips to challenge Nvidia's AI processor dominance, featuring 768GB RAM and promising lower power consumption for AI deployment, with Saudi Arabia's Humain already planning implementation.
MiniMax launches M2, a groundbreaking 230-billion parameter open-source AI model that achieves the #1 global ranking among open-source models on intelligence benchmarks while excelling at coding tasks with 69.4% performance on SWE-bench Verified and 46.3% on Terminal-Bench, now available free through multiple platforms.
Revolutionary AI systems achieve 20% accuracy improvements by implementing self-reflection capabilities that allow models to critique and correct their own outputs, with studies showing dramatic gains from 70% to 91% accuracy across coding, math, and database tasks through intelligent feedback loops.
AI chatbots create an illusion of memory by rereading entire conversations from scratch with each response, facing exponentially growing computational costs as discussions lengthen, while new retrieval systems offer potential solutions to these fundamental limitations.
Revolutionary wafer-scale AI chips deliver breakthrough performance of 2,700 tokens per second—10 times faster than traditional GPU systems—by integrating hundreds of thousands of cores with massive on-chip memory, achieving sub-millisecond inference latency through new PLMR optimization model.