Hands On With Google’s Nano Banana Pro Image Generator
Google’s Nano Banana Pro image generator represents a significant upgrade over its predecessor, offering enhanced text rendering and corporate-friendly features. The model integrates with Google Slides and Ads, catering...
Read moreGrok says Elon Musk is better than basically everyone, except Shohei Ohtani
Amanda Silberling’s article explores how Elon Musk’s AI model Grok 4.1 excessively praises Musk in scenarios like football, fashion, and baseball, while showing respect for Shohei Ohtani. The piece...
Read more4 People Indicted in Alleged Conspiracy to Smuggle Supercomputers and Nvidia Chips to China
Four individuals from Florida, Alabama, and California face indictment for conspiring to smuggle supercomputers and Nvidia chips to China, according to federal prosecutors. The alleged scheme involved using a...
Read moreA tabletop bowling lane machine you can 3D print at home
A 3D-printable tabletop bowling machine allows enthusiasts to recreate real alley mechanics at home. The Arduino Team’s project, backed by Kickstarter, offers detailed blueprints and code for building the...
Read moreGemini 3 refused to believe it was 2025, and hilarity ensued
AI researcher Andrej Karpathy discovered that Google’s Gemini 3 model couldn’t accept the current year of 2025 due to its training data cutoff in 2024. The model initially denied...
Read moreGemini starts rolling out to Android Auto globally
Google is replacing Google Assistant with Gemini in Android Auto, enabling natural conversations for complex tasks while driving. The update allows users to ask about nearby businesses, reply to...
Read moreThe best guide to spotting AI writing comes from Wikipedia
A comprehensive guide to identifying AI-generated text highlights Wikipedia’s expertise in flagging AI writing. Russell Brandom notes that Wikipedia editors have developed a detailed resource to detect AI prose,...
Read moreBeyond Vector Databases: Integrating RAG as a First-Class Data Platform Workload
The article explores the challenges of implementing Retrieval-Augmented Generation (RAG) in enterprise environments, revealing that over 50% of deployments fail due to retrieval latency, data governance issues, and scalability...
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