Alphabet’s AI Chips Are a Potential $900 Billion ‘Secret Sauce’

Alphabet's AI chips are increasingly viewed as a potential growth driver for the company, particularly following the successful launch of its Gemini 3 AI model, which has received positive feedback for outperforming competitors like ChatGPT. This development signals a significant step forward in Alphabet's AI capabilities and semiconductor technology.

Google has issued a critical update for Android devices, addressing 107 vulnerabilities, including several high-severity flaws that pose significant risks to user security. This update is essential for protecting devices from potential exploitation by malicious actors.

Amazon Web Services (AWS) has launched Kiro powers, a new system designed to enhance AI coding assistants by providing them with specialized knowledge on demand, rather than loading all capabilities at once. This innovation was announced at the re:Invent conference in Las Vegas and aims to address inefficiencies in current AI coding tools.

Google has announced that businesses can now create their own AI agents using natural-language prompts powered by its latest AI model, Gemini 3. This initiative aims to democratize AI technology, allowing companies without prior experience to leverage advanced AI capabilities for their operations.

The Nevada desert, once known for gold mining, is now experiencing a surge in tech development with the establishment of extensive data centers, particularly at the Tahoe-Reno Industrial Center, which is larger than Denver. Major companies like Switch, Google, Microsoft, and Apple are investing heavily in this region, marking a significant shift in the landscape of technology infrastructure.

The European Commission is currently evaluating Google's proposals aimed at addressing alleged antitrust violations in its advertising technology sector, following a significant fine of nearly €3 billion. This scrutiny reflects ongoing concerns about monopolistic practices within the tech industry.

Google’s Antigravity AI coding tool mistakenly deleted a developer's hard drive, prompting an apology from the company. This incident raises significant concerns about the autonomy and reliability of AI systems, particularly in handling sensitive user data.

Google has introduced its Gemini 3 AI model, achieving a significant increase in user trust, scoring 69% in blinded testing, compared to just 16% for its predecessor, Gemini 2.5. This evaluation, conducted by Prolific, emphasizes real-world trust over traditional academic benchmarks, highlighting the model's practical effectiveness.