China escalates tensions with the US by discouraging local firms from purchasing NVIDIA's H20 AI chips, finding US commerce secretary's remarks about limiting China's access to advanced chips 'insulting', as NVIDIA develops a new chip for the Chinese market.
AI companies are forging global data alliances to train models, sparking privacy concerns as Perplexity bids a staggering $34.5 billion to acquire Google's Chrome browser, escalating the AI supremacy battle.
FieldAI, backed by Jeff Bezos and Nvidia, secures over $400 million to develop AI 'brains' that control third-party robots using models trained on real-world data, powering the next generation of intelligent robotics.
Google launches Gemini, an advanced AI assistant for smart homes, replacing Google Assistant with capabilities to comprehend intricate commands, effortlessly control connected devices, and provide personalized guidance through Gemini Live for tasks like cooking and troubleshooting.
Anthropic unleashes Claude Sonnet 4 with 1 million token context window at higher pricing; Bessemer identifies two AI startup classes: fast 'Supernovas' and sustainable 'Shooting Stars'; security risks emerge in Model Context Protocol adoption, necessitating new threat models.
In a major move, SoftBank injects $2 billion into Intel at $23/share, bolstering U.S. semiconductor self-sufficiency and AI ambitions, supporting Intel's 18A chip manufacturing node and AI roadmap to compete with TSMC, NVIDIA, and AMD amidst intense competition, government subsidies, and geopolitical factors.
The General Services Administration unveils USAi, a secure AI platform enabling federal agencies to test and adopt artificial intelligence technologies at scale, supporting the White House's plan to strengthen U.S. leadership in AI.
Skeptical writer self-hosts AI at home, discovers its versatility for automation and image processing, embracing its potential while prioritizing privacy and data control.
A new 'Efficient Agents' AI framework achieves 96.7% of top performance at only 72.6% of the cost, enabling highly scalable deployment by using moderately-priced language models, limiting planning steps, broad simple tool usage, and lean memory management.
Chinese AI firm DeepSeek delays release of its new model due to persistent technical issues encountered while attempting to train it using Huawei's domestic Ascend chips, forcing it to rely on Nvidia chips instead, underscoring challenges facing China's push for technological self-sufficiency.