Apple launches an affordable A18-powered MacBook with vibrant color options like silver, pink, and yellow, aiming for 5-7 million unit sales in 2026 through an aggressive pricing strategy.
AI-powered accounting startup Campfire raises $35 million Series A led by Accel, leveraging AI capabilities like automatic reconciliation and cash flow analysis to win over startups from NetSuite, as founder John Glasgow draws on experience from Invoice2go acquisition.
In a bold move, Meta CEO Mark Zuckerberg unveils Meta Superintelligence Labs, poaching top AI talent from rivals like OpenAI and Google to spearhead development of cutting-edge foundation models and AI products under the new division.
Innovative AI-powered IDEs like Replit, Amazon Q Developer, and Windsurf are transforming coding with real-time collaboration, intelligent assistance, code reviews, security scanning, and auto-completions, revolutionizing the development experience.
Google introduces Gemini AI Suite, offering over 30 free AI tools integrated into Google Classroom, empowering educators to create interactive AI experiences, track student progress against learning standards, and differentiate instruction for personalized learning.
Satellite internet providers Starlink, OneWeb, and Kuiper launch thousands of satellites into low Earth orbit, fueling a global race backed by billions in investment while navigating challenges like space debris and satellite replenishment.
Researchers unveil Hunyuan-A13B, a groundbreaking 80B-parameter open-source AI model that employs a fine-grained Mixture-of-Experts architecture, delivering competitive performance while optimizing efficiency and scalability across various benchmarks.
Salesforce's Agentblazers, a community of customers, employees, and partners, actively shape AI's future through collaborative experimentation, practical skill development, data-driven approaches, hands-on learning, and simplified user experiences, delivering tangible benefits and real-world solutions.
Powerful AI coding tools streamline software development, raising concerns about potential talent erosion as junior engineers may not undergo the trial-and-error learning process that fosters mastery, threatening the future talent pipeline in the software engineering field.
Large Language Models are accelerating exponentially, with capabilities doubling every 7 months, reshaping software development by 2030 as advanced LLMs could complete month-long tasks with 50% reliability, often much faster, raising significant potential benefits and risks.