#personalization

#personalization

Ahmad Al-Dahle, who most recently led generative AI at Meta and the team behind its Llama open-source models, joins the company Wednesday and will oversee its engineering and data science teams.

OpenAI said conversations in ChatGPT Health would be stored separately to other chats and would not be used to train its AI tools - as well as clarifying it was not intended to be used for "diagnosis or treatment". According to OpenAI, more than 230 million people ask its chatbot questions about their health and wellbeing every week. In a blog post, it said ChatGPT Health had "enhanced privacy to protect sensitive data".

With shrinking attention spans and increasing workplace demands, traditional, long, and static eLearning courses often fail to make an impact. Learners now seek training that fits naturally into their day, feels relevant to their role, and respects their time. This shift in learner expectations has prompted L&D professionals to rethink the design of learning experiences. One innovative approach gaining momentum is Netflix-style microlearning, an experience-driven strategy that emphasizes personalization, short learning moments, and learner choice.

Advanced search functionalities allow quick location of specific titles using keywords provider names or game mechanic characteristics while personalized recommendations based on gameplay history suggest alternatives likely to match individual preferences. The extensive multimedia collection includes a wide selection of classic and modern slot machines traditional table games and live dealer experiences broadcast in high definition providing immersive and authentic casino atmosphere.

Personalization tools allow users to configure the interface according to their preferences with customizable themes configurable shortcuts and adapted displays ensuring an optimal and intuitive user experience. Advanced search functionalities allow quick location of specific titles using keywords provider names or game mechanic characteristics while personalized recommendations based on gameplay history suggest alternatives likely to match individual preferences. The diversity of content

For instance, when a user watches a romantic comedy on Netflix, the system identifies similar titles liked by others with comparable viewing habits. On Spotify, listening to a few indie tracks might prompt the algorithm to suggest playlists featuring similar artists. These systems continuously learn from user activity, refining their precision over time.

AI sits at the heart of AI content generation. Gone are the days when social teams spent hours brainstorming captions, creating graphics and rewriting drafts to match platform trends. Now, AI tools can generate full campaigns, write ad copies, create a content calendar, tailor posts for specific demographics and analyze what has performed well in the past. It helps creators move from blank page to polished copy in minutes.

But in 2026, we're going to stop personalizing the menu and start personalizing the meal. The first phase will be the "easy" stuff, mostly personalization of format. If you're a commuter, you get the audio summary that lasts the exact length of your train ride. If you tend to spend the working day in your inbox, you get the newsletter bullet points. If you're a devoted flicker, you get the vertical video.

The Washington Post's new offering, "Your Personal Podcast," uses artificial intelligence to customize podcasts for its users, blending the algorithm you might find in a news feed with the convenience of portable audio. The podcast is "personalized automatically based on your reading history" of Post articles, the newspaper says on its help page. Listeners also have some control: At the click of a button, they can alter their podcast's topic mix or even swap its computer-generated "hosts."

Every creative person has had that moment where they look at something beautifully personalized-a monogrammed cutting board, a customized metal tumbler, a sleek engraved leather wallet-and think, "I could totally make that." Once upon a time, that idea would've required a workshop full of industrial tools and a level of skill that bordered on wizardry. Today? Thanks to modern laser engraving technology, that same idea can turn into a real business with surprising ease.

Beyond that, the feature focuses on providing an annual overview of activity on Wikipedia as a whole, but in a pretty graphical format, not dissimilar to Spotify's Wrapped. A list of the most-read English language articles is topped by Charlie Kirk and "deaths in 2025," proving that humans are incurably morbid. Wikipedia also says that editors made over 66 million changes across the site this year.

Every year, learning changes a little. But as we head towards 2026, the pace of change feels different. More urgent. More human. More personal. Learners are asking for authenticity. Organizations want learning that works in practice, not just in theory. And technology is finally mature enough to support a kind of learning that feels alive. In this article, we'll delve into the 7 eLearning trends that will shape 2026, starting with the newest and boldest shifts already underway.

We will soon use your interactions with Meta AI to personalize the content and ads you see, including things like posts and reels.