How can we design AI tools that effectively support human decision-making by complementing and enhancing users' reasoning processes? Common recommendation-centric approaches face challenges such as inappropriate reliance or a lack of integration with users' decision-making processes. Here, we explore an alternative interaction model in which the AI outputs build upon users' own decision-making rationales. We compare this approach, which we call ExtendAI, with a recommendation-based AI. Participants in our mixed-methods user study interacted with both AIs as part of an investment decision-making task. We found that the AIs had different impacts, with ExtendAI integrating better into the decision-making process and people's own thinking and leading to slightly better outcomes. RecommendAI was able to provide more novel insights while requiring less cognitive effort. We discuss the implications of these and other findings along with three tensions of AI-assisted decision-making which our study revealed.

"It appears to me virtually certain that many big changes fueled by artificial intelligence working with human intelligence will lead to shocking advances in many areas over the next 10 years (in fact over the next three years)." It seems like every time we turn around, there's a new gadget or app that's changing the way we live our lives. But did you know that this is just the beginning of a much bigger trend that's happening all around us? That's what Ray Kurzweil's concept of the Exponential Cycle is all about. It might sound a bit scary at first, but trust me, it's actually pretty exciting. The Exponential Cycle is all about how technological progress is not linear but exponential.

Less than 24 hours into its fundraising, the Dash 2 Trade crypto trading intelligence platform has already raised more than $300,000 in the first stage of its presale. Positioning itself as the'Bloomberg Terminal for crypto' – but minus the $2,000 a month subscription, Dash 2 Trade is bringing the functionality and feature-set of a fully professional analytics and intelligence suite to the ordinary crypto trader. At the core of the Dash 2 Trade platform is its powerful and innovative dashboard. It's been in development for several months and is already at the minimum viable product stage, and the polished version will be ready to launch at the end of the presale. The Dash 2 Trade dashboard brings together all the tools, metrics, signals and indicators to turbo-charge trading performance.

Artificial intelligence has led to some pivotal changes in the financial sector. Fintech companies are projected to spend over $12 billion on AI this year. A growing number of traders are taking advantage of AI technology to make more informed trading decisions. AI technology has actually changed stock market investing as we know it. There are a number of ways that traders can benefit from AI.

BitVex is the end destination of a crypto scam using deep fakes of prominent cryptocurrency advocates as promotion to steal deposited currency. In the deepfake videos, advocates such as Musk claim to own the scam trading platform, stating that he created the site to allow everyone to earn up to 30% returns on their crypto deposits. According to researchers at BleepingComputer, the campaign began in early May, with threat actors creating or hacking existing YouTube accounts to host deep fake videos of crypto advocates including Cathie Wood, Brad Garlinghouse, Michael Saylor, and Charles Hoskinson. The scammers then take these legitimate interview clips, modify them with deepfake technology, using the person's voice in a low-quality script provided by the threat actors. Despite the effort by the scammers, the deep fake synchronizes the person's talking to the script, and it is quickly obvious that the interviews are not real.

Algorithmic trading can be fun and rewarding. To the unaware, it refers to trading based on pre-programmed instructions instead of human sentiment. The idea is to leverage computers' superior speed and analytical abilities relative to humans. Algorithmic trading has gained a lot of popularity with retail and institutional traders. The algorithmic trading market is still increasing, with an expected compound annual growth rate (CAGR) of 11.23% between 2021 to 2026 (Mordor Intelligence).

Crypto industry peaks deserve more than two hands to handle; more traders are looking into AI as an advantage. Quick analysis and making the right calls at the right time can be a game-changer. Will AI be the new frontier in the crypto markets? Admittedly, precise calls in the crypto space or any other industry are scarce, with complex graphs and other determinants to contemplate. Decent patterns at the right pace, coupled with a thirsty investor, can always get the job done.

The second form of AI is what makes online casinos the front-runners in the battle against corruption. This cryptocurrency reportedly has over 5 million users from all around the world and thanks to the AI system that Bitcoin trading sites use, it is reported that there are around 100,000 millionaires who made their fortune by trading Bitcoin. One of the most reputable trading sites that use these forms of AI is https://bitqh.app/. The AI system of this trading platform takes all the data about Bitcoin from the market. Not only that, but these AI systems have proven to be extremely efficient and effective since the daily profitability rate at the aforementioned site is very high.

RBC Capital Markets is preparing to launch Aiden in Europe and to launch another algorithm on its artificial intelligence-based electronic trading platform. Shary Mudassir, co-head of global electronic trading at RBC Capital Markets, told Markets Media: "We are in the final stages of preparing to launch Aiden in Europe over the coming months." The Canadian bank launched Aiden in October last year after being developed jointly by RBC Capital Markets and Borealis AI, a research center created by the bank. The platform has been available to RBC Capital Markets clients trading in U.S. and Canadian equities. "As client activity and data increased, we began exploring ways to make changes more efficiently and started investing in machine learning and artificial intelligence with Borealis AI five years ago," added Mudassir.

For decades, trading has been done primarily by humans, some of them crowding at the busy exchange, others picking out the best assets to buy and sell from the office. Today, however, a major share of market transactions is in fact conducted by sophisticated algorithms. In fact, just a few years ago, algorithmic trading was reportedly behind 60-70% of transactions on US financial markets, although their current share is probably lower. In itself, however, algorithmic trading is not necessarily something particularly new: in fact, the widely spoken-about practice known as High-Frequency Trading, one of the prime examples of top-notch algorithmic strategies, stems from the early 2000s. What is new these days, however, is a fintech trend that holds a promise of amplifying the success of algo-traders by giving them extra tools to improve the performance of their models.