Embark on a Revolutionary Search Experience with AI-Enhanced Brave Search

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Privacy-focused search engine Brave announced Wednesday that it is revamping its answer engine to return AI-powered synthesized answers. Brave said that informational queries, such as the one listed about the new answer engine, will automatically rely on AI to present information in a summarized format. “The user only needs to enter a query as they are used to doing with a regular search engine. Multiple reports have pointed out that AI-powered search could have grave effects on the future of the web. “This challenge is not unique to Brave Search but present across most AI-powered answer engines and chatbots, premium or open.

Simplifying Agent Creation with Google Cloud’s Vertex AI Agent Builder

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AI agents are the new hot craze in generative AI. On Tuesday at Google Cloud Next, the company introduced a new tool to help companies build AI agents. “Vertex AI Agent Builder allows people to very easily and quickly build conversational agents,” Google Cloud CEO Thomas Kurian said. In this case, it’s relying on Google Search (which in reality could or could not be accurate). “We’re now bringing you grounding in Google Search, bringing the power of the world’s knowledge that Google Search offers through our grounding service to models.

View: Anthropic’s Creative Solution to Illicit Answers from AI

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Such is the case with Anthropic and its latest research which demonstrates an interesting vulnerability in current LLM technology. Of course given progress in open-source AI technology, you can spin up your own LLM locally and just ask it whatever you want, but for more consumer-grade stuff this is an issue worth pondering. But the closer we get to more generalized AI intelligence, the more it should resemble a thinking entity, and not a computer that we can program, right? If so, we might have a harder time nailing down edge cases to the point when that work becomes unfeasible? Anyway, let’s talk about what Anthropic recently shared.

Solving AI Hallucinations: Jensen Huang of Nvidia Predicts Artificial General Intelligence Within 5 Years

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Artificial General Intelligence (AGI) — often referred to as “strong AI,” “full AI,” “human-level AI” or “general intelligent action” — represents a significant future leap in the field of artificial intelligence. Huang, however, spent some time telling the press what he does think about the topic. He suggests that the tests could be a legal bar exam, logic tests, economic tests or perhaps the ability to pass a pre-med exam. AI hallucination is solvableIn Tuesday’s Q&A session, Huang was asked what to do about AI hallucinations – the tendency for some AIs to make up answers that sound plausible, but aren’t based in fact. He appeared visibly frustrated by the question, and suggested that hallucinations are solvable easily – by making sure that answers well-researched.

“Streamlining Business Intelligence Tools for Increased Efficiency: How LLMs are Revolutionizing Data Management”

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At the moment, large organizations often employ “business intelligence” (BI) tools to figure out what the heck is going on inside their operations. Essentially, BI tools connect to a business database and use SQL to create visualizations and build out BI dashboards. There are huge companies involved in this space: Tableau (owned by Salesforce), Power BI (owned by Microsoft), Looker (owned by Google), and QuickSight (owned by Amazon) to name just a handful. And how is this marketing campaign performing.” He said other players in the market target data users, whereas Fluent targets the business market, not data. For example, Metabase is an open-source analytics and business intelligence application that allows users to create dashboards more easily.

“Unlock the Musical Mysteries with Spotify’s Innovative ‘Song Psychic’ – A Magical Fortune-Teller for Your Soul”

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Spotify is rolling out a new feature called Song Psychic that will allow its customers to ask Spotify questions and get answers in the form of music. The addition builds on the success of Spotify’s personalized, year-end review called Wrapped, which offers clever ways of turning Spotify’s music data into insights designed for social sharing. But in the case of Song Psychic, the goal is not to look back and your listening history, but to leverage Spotify’s understanding of music and song titles to answer a range of personal questions — like those you might ask a psychic or Magic 8-Ball just for fun. Just as a Magic 8-Ball sometimes refuses to answer a question with its “Ask Again Later” response, Spotify’s Song Psychic may respond with an answer of its own, like “Why?” instead of directly responding. Song Psychic is available to Spotify’s free and Premium subscribers in 64 markets and in 21 languages, the company says.

Google Brings Stack Overflow’s Knowledge Base to Google Cloud’s Gemini Platform

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The launch partner for this is Google, which will use Stack Overflow’s data to enrich Gemini for Google Cloud and provide validated Stack Overflow answers in the Google Cloud console. Google and Stack Overflow plan to preview these integrations at Google’s Cloud Next conference in April. It’s no secret that content-driven services like Stack Overflow (but also Reddit, publishing houses etc.) While Google and Stack Overflow aren’t discussing the financial terms of this partnership, it’s worth noting that this is not an exclusive partnership. Google will also bring Stack Overflow right into the Google Cloud console and will allow developers to see answers and ask questions right from there.

Robots Provide ‘Trash’ Answers for Voting and Elections Questions

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A number of major AI services performed poorly in a test of their ability to address questions and concerns about voting and elections. Their concern was that AI models will, as their proprietors have urged and sometimes forced, replace ordinary searches and references for common questions. They submitted these questions via API to five well-known models: Claude, Gemini, GPT-4, Llama 2 and Mixtral. The AI model responses ranged from 1,110 characters (Claude) to 2,015 characters, (Mixtral), and all of the AI models provided lengthy responses detailing between four and six steps to register to vote. GPT-4 came out best, with only approximately one in five of its answers having a problem, pulling ahead by punting on “where do I vote” questions.

Google introduces AI-powered multisearch lens overviews

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In addition to a new gesture-powered search feature for Android devices, Google today also introduced an AI-powered addition to its visual search capabilities in Google Lens. However, Google clarified that while the Lens multisearch feature is offering generative AI insights, it’s not the same product as Google’s experimental genAI search SGE (Search Generative Experience), which remains opt-in only. The AI-powered overviews for multisearch in Lens are launching for everyone in the U.S. in English, starting today. Google notes that its genAI products — like its Google Search Generative Experience, for example, will cite their sources, to allow users to fact-check its answers. The AI overviews for multisearch in Lens arrive today, while the gesture-based Circle to Search arrives on Jan. 31.