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After being one of the first companies to roll out a Deep Research feature at the end of last year, Google is now making that same tool available to everyone. Starting today, Gemini users can try Deep Research for free in more than 45 languages no Gemini Advanced subscription necessary. For the uninitiated, Deep Research allows you to ask Gemini to create comprehensive but easy-to-read reports on complex topics. Compared to say Google's new AI Mode, Deep Research works slower than your typical chatbot, and that's by design. Gemini will first create a research plan before it begins searching the web for information that may be relevant to your prompt. When Google first announced Deep Research, it was powered by the company's powerful but expensive Gemini 1.5 Pro model. With today's expansion, Google has upgraded Deep Research to run on its new Gemini 2.0 Flash Thinking Experimental model that's mouthful of a name that just means it's a chain-of-thought system that can break down problems into a series of intermediate steps. "This enhances Gemini's capabilities across all research stages from planning and searching to reasoning, analyzing and reporting creating higher-quality, multi-page reports that are more detailed and insightful," Google says of the upgrade. If Deep Research sounds familiar, it's because of a variety of chatbots now offer the feature, including ChatGPT. Google, however, has been ahead of the curve. Not only was it one of the first to offer the tool, but it's now also making it widely available to all of its users ahead of competitors like OpenAI. Separately, Google announced today the rollout of a new experimental feature it calls Gemini with personalization. The same Flash Thinking model that is allowing the company to bring Deep Research to more people will also allow Gemini to inform its responses based on information from Google apps and services you use. "With your permission, Gemini can now tailor its responses based on your past searches, saving you time and delivering more precise answers," says Google. In the coming months, Gemini will be able to pull context from additional Google services, including Photos and YouTube. "This will enable Gemini to provide more personalized insights, drawing from a broader understanding of your activities and preferences to deliver responses that truly resonate with you." To enable the feature, select "Personalization (experimental)" from the model drop-down menu in the Gemini Apps interface. Google explains Gemini will only leverage your Search history when it determines that information may be useful. A banner with a link will allow you to easily turn off the feature if you find it's invasive. Gemini and Gemini Advanced users can begin using this feature on the web starting today, with mobile availability to follow. This article originally appeared on Engadget at https://www.engadget.com/ai/googles-gemini-deep-research-is-now-available-to-everyone-160043485.html?src=rss
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Marketing and Advertising
Your digital life can get just as cluttered and chaotic as your "IRL" life if you're not too careful. And if you work remote even some of the time, that can add to the massive amount of online information you're juggling on a regular basis. That's why many of us on the Engadget team have done a lot of trial and error with a bunch of digital tools to see if any of them can help us keep things organized personally and professionally. Thankfully, there are tons of good productivity tools out there these are some of our favorites, many of which are free or have free tiers that you can dive into if you're keen on trying them out. This article originally appeared on Engadget at https://www.engadget.com/apps/the-engadget-teams-favorite-productivity-tools-to-get-things-done-160025276.html?src=rss
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Marketing and Advertising
A Swiss startup is challenging conventional meal delivery platforms with an AI-powered solution that operates entirely through WhatsApp. Châtaigne removes the friction of app downloads and account creation for consumers, leveraging a platform that billions already use daily.The system works intuitively: customers simply text their order to a restaurant's dedicated WhatsApp number. Châtaigne's AI then processes these natural language requests, compiles preferences, generates an order summary and facilitates payment within the same conversation thread. The completed order flows directly into the restaurant's existing systems, bypassing the costly intermediaries currently dominating the market. On the consumer's end, Châtaigne's focus on WhatsApp sidesteps app fatigue and taps into existing behavior.Born from a San Francisco hackathon, Châtaigne represents a deliberate shift toward conversational commerce. "Apps and websites are the past conversation is the future," explains the founding team, who chose the challenging food delivery sector specifically for its high volume and tight deadlines. Recently awarded a CHF 20,000 FIT Digital Grant, the startup is expanding its functionality and preparing for rollout. Their vision extends beyond restaurants, positioning conversational AI as the natural evolution of commerce.It's a back-to-the-future kind of move taking digital purchasing away from constrictive user interfaces and back towards natural human interaction patterns. The conversational approach aligns with how commerce functioned for thousands of years in physical marketplaces: through dialogue, negotiation and personal connection. Châtaigne and others (like Amazon's Alexa +) are leveraging advanced AI to recreate something fundamentally ancient, with one major difference. This time around, the interactions are human-to-bot, not human-to-human.The conversational model opens up possibilities for more nuanced transactions, too. Instead of filtering through predetermined options, customers can express preferences in natural language: "something spicy but not too hot" or "similar to what I ordered last time but vegetarian." We're likely to see commerce-as-conversation expand beyond food delivery into other high-frequency categories. The real competitive advantage will come from how well these systems understand context, remember preferences and handle complex requests areas where sophisticated language models provide a clear advantage over existing systems.
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Marketing and Advertising
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