My 8-Year-Old’s Request Seemed Impossible. The AI Said Differently.
Part 1: A Father-Son Journey Building an AI Autonomous Robot from Scratch
Part 1: A Father-Son Journey Building an AI Autonomous Robot from Scratch
Google has quietly published a new Play Store listing for Magic Pointer, an unannounced app built for Googlebooks. Updated on July 10, the app turns the cursor into a Gemini shortcut that can act on whatever a user selects on screen. Magic Pointer can send an image to Lens, generate a related image, or surface…
# Inroduction This article is part of my noob series where we write about the questions people Google most but may not understand well because of complex math and everything. So, if you are here, you might have heard fine-tuning somewhere in the context of large language models (LLMs) especially. This concept already existed in…
The same question drives both the plot of Moana and decades of archaeological research: Why, after centuries of relative stability, did Polynesian voyagers suddenly begin settling islands thousands of kilometers away across the Pacific? The latest Moana movie is a live-action adaptation of a Disney animated movie of the same name. While the films are…
Contact centers and their agents are a critical part of customer service. They’re the ambassadors of the organization, responding to large call volumes daily, interacting with customers and collecting feedback to pass on to the business. Modern contact center platforms increasingly use AI-driven analytics, speech recognition and sentiment analysis tools to monitor interactions in…
Enterprise companies are running AI agents ahead of the controls needed to manage them — and they deployed that way knowingly. That is the central finding from VentureBeat Research’s June survey of 573 technical leaders at companies with 100 or more employees, fielded across five parallel surveys of the agentic stack. Enterprises are now retrofitting…
Top Kalshi trader Caleb Davies usually speaks to the press about how prediction markets help him rake in money. The Minneapolis-based IT worker estimates he’s made $1.2 million overall across different prediction platforms, with $414,000 in winnings from Kalshi’s culture markets alone. He especially enjoys wagering on music charts, because he carefully analyzes Spotify data…