Anthropic files confidential IPO paperwork with the SEC, eyeing a staggering $1 trillion valuation that could make it one of the largest public offerings in history, following a $65 billion funding round that already crowns it the world's most valuable startup.
Apple launches its third-generation Apple Foundation Models in partnership with Google Cloud, introducing five new AI models — including on-device and server-based variants — that power a redesigned Siri with major performance gains, with human evaluations showing the new cloud model preferred over its predecessor on nearly 65% of prompts.
Google DeepMind releases Gemma 4 QAT models that shrink AI memory requirements to under 1GB, making powerful on-device AI accessible on everyday consumer hardware through advanced quantization techniques.
Amazon Bedrock launches a revamped console featuring a next-gen inference engine called bedrock-mantle, enabling side-by-side comparison of up to three AI models, project-based workflows, and live auto-filling code documentation, now available across major AWS regions worldwide.
Google signs a massive $920 million per month deal with SpaceX for access to roughly 110,000 NVIDIA GPUs to power its surging Gemini Enterprise platform, running from October 2026 through June 2029, as the tech giant bridges capacity gaps ahead of a planned $180–$190 billion infrastructure expansion.
Apollo Global Management and Blackstone seal a landmark $35 billion financing deal to expand Anthropic's AI infrastructure, funding Google's custom AI chips in one of the largest financing arrangements in the artificial intelligence race.
Apple strikes a secret deal with Google to power a rebuilt Siri using Gemini AI after a crisis meeting reveals Apple Intelligence has badly fallen behind rivals, with a chatbot-style Siri overhaul set to debut at WWDC 2026 as Tim Cook's final major bet before handing the CEO role to …
Microsoft and Snowflake unveil powerful new AI tools in San Francisco, directly targeting enterprise AI's two biggest obstacles — trust and simplicity — with innovations spanning data governance, security enforcement, intelligent personal work agents, and seamless automation for non-technical users.
Microsoft breaks free from OpenAI dependency, launching seven in-house 'MAI' AI models and unveiling a bold five-year plan to become a self-sufficient frontier AI lab capable of achieving superintelligence using its own researchers, custom silicon, and enterprise data pipelines.
Enterprises are abandoning costly 'tokenmaxxing' AI strategies as efficiency dominates Microsoft Build and Snowflake Summit, with major tech firms unveiling cost-cutting tools and experts urging businesses to question whether AI is even needed for every task.