
OpenAI Kicks Off 12 Days of “Ship-mas” With Big Announcements, Day 4 Covered.
Keep an eye out for more surprises as "ship-mas" unfolds!

Keep an eye out for more surprises as "ship-mas" unfolds!

Google, the world's dominant search engine with over a billion daily users, is reportedly exploring charging for certain premium content powered by artificial intelligence.

There is growing scrutiny over the issue of algorithmic bias. AI models trained on skewed data can perpetuate and amplify societal biases.

Facebook can recognize your face and Google can beat you at chess. But experts clash on when - or even whether - machines will finally attain the common sense and adaptability that comes naturally to a 5-year-old. Predictions for artificial general intelligence diverge wildly.

Reddit is ready to start profiting from its most prized feature - the barrage of posts, media, and discussions pumped out daily by its 50M+ active users. Company licenses data to AI firm.

Apple sees major potential in using AI to make its platforms and developers more productive. The automated coding and testing tools are the first manifestations of this, with more AI integration likely coming across Apple's products and services soon.

Almost every economic sector will feel impacts from increasingly capable AI and automation.

Meta is promoting the adoption of existing technical standards (IPTC and C2PA) that can be used to embed metadata labels in AI-generated photos, videos, and audio. This metadata would allow platforms to identify and label AI content.

Priced at $349, the Frame AI glasses feature a microOLED display, spatial camera, microphone, and nylon frame. Design files and code publicly available on GitHub for customization.

Biased data can indeed lead to prejudiced AI models. When the data used to train an AI model contains biases, those biases can be reflected in the model's outputs and decisions. This phenomenon is often referred to as "algorithmic bias."

By 2024, the regulation of artificial intelligence technologies has become a major policy issue worldwide.

Major changes, uncertain implications, employees concerned, company states it will enhance oversight but no clarity yet on how. It seems like an evolving situation worth monitoring closely given Google's influential role in AI development.