Latest news with #YOLO
NDTV
5 days ago
- Business
- NDTV
Trader Shares How ChatGPT, Grok Helped Him Double His Money In 10 Days
A Redditor has sparked a frenzy online after claiming to have doubled his money in just ten days, purely by taking investment advice from artificial intelligence (AI) models like ChatGPT and Grok. In the post titled 'Watching ChatGPT Make Me Money While I Chill and Crack a Cold One!', the user explained how he funded $400 into Robinhood two weeks ago to test if ChatGPT could outperform his own trading instincts. "Day 1, boom, doubled my money faster than Kris Jenner can sign a new reality deal," he wrote. The user revealed that by day four, his confidence in the AI's decision grew, and he decided to split the portfolio into two and set up a head-to-head match between ChatGPT and Grok. He fed both the AI bots with extensive "nerdy data," including spreadsheets and screenshots of detailed fundamentals, options chains, technical indicators, and macro data. He then instructed the chatbots to cut through the clutter and "spit out trades that'll turn my beer and BBQ budget into Kardashian-level cash". Watching ChatGPT Make Me Money While I Chill and Crack a Cold One! by u/Plastic-Edge-1654 in ChatGPT After 10 trading days, the original poster (OP) said that he was shocked to see the results. "I've made 18 trades, closed out 17, and somehow these AI bros both have a flawless, 100% win rate," he wrote. The user revealed that while ChatGPT "nailed 13", Grok "hit 5" and "neither has let me down yet!" "I'm hyped to see how far this YOLO AI adventure goes over the next six months. Stay tuned; It's time to crack another cold one-it's gonna be a wild ride!" the user concluded. Since being shared, the Reddit post has gone viral, triggering an avalanche of reactions. While some praised AI, others warned against drawing conclusions from a short-term win. "Goddamn, it's like the universe was screaming at me here. I was planning on trying this on Monday to see if I could make it work while I look for jobs. Guess this is all the motivation I need to push forward with the plan," one user wrote. "I mean, ChatGPT has helped me tremendously with my golf game, so why not help me crush some trades too," said another. However, some users were sceptical about using AI for trading. "Bro you realize it's not the AI, right? The saying is old as hell: "Everyone is a genius in a bull market ". Holds true time, and time again," wrote one user. "This is fun and all but don't fool yourself that this is anything more than putting money on red," commented another. "Everyone is a genius when the market is hot. I wouldn't put your bets on ChatGPT compared to just getting lucky based on a trending up market," said a third user.
News18
10-07-2025
- Entertainment
- News18
Divyanka Tripathi Spreads Positivity With A YOLO Mantra: ‘Travel, Love, Live'
Divyanka Tripathi spreads positivity with her latest video featuring her husband, Vivek Dahiya. Divyanka Tripathi and Vivek Dahiya have embarked on a serene and picturesque journey to celebrate their wedding anniversary. The couple, who tied the knot on July 8, 2016, marked nine years of togetherness with a romantic escape to Nashik, Maharashtra. Adding to the charm, Divyanka shared a video from their travel diaries, spreading positivity with her signature 'YOLO" mantra. Taking to Instagram, the actress posted a montage that opened with her posing beside their four-wheeler. The video featured adorable glimpses of her and Vivek during their road trip through the misty hills, enjoying cosy moments amidst the cloudy weather. The reel also showcased the couple striking playful poses with quirky props at their scenic stay, capturing the joy of their special celebration. On Instagram, Divyanka Tripathi dropped a video featuring an array of sneak peeks into her latest travel diary. It kicked off with the actress posing with the four-wheeler, followed by some mushy moments with the driver and her husband, Vivek Dahiya. The duo was seen on a road journey to the hills amidst the cloudy weather. As the scene changes, the lovebirds are also seen striking cool poses with the props kept at their place of stay. In one of the segments of the video, we can spot Divyanka and Vivek indulging in a scrumptious platter which featured chocolate bars, savoury crackers, a pile of what seemed like powdered sugar and some form of breadsticks. A big bottle of fine wine was also kept on the same table. Alongside the video, the Yeh Hai Mohabbatein star penned an inspirational message, spreading pure YOLO (You Only Live Once) vibes. Her can be read as 'Travel, love, live… Because – #Yolo." View this post on Instagram A post shared by Divyanka Tripathi Dahiya (@divyankatripathidahiya) Reacting to the heartwarming video, one of their fans said, 'Your journey is proof — love and travel make the best memories #LiveFully." Another person added, 'The joy of life is in enjoying every single moment of it." Someone said, 'Rain, peace, and views like this — this is what living looks like." Divyanka and Vivek have been spending quality time at Sula Vineyards in Nashik. She also shared a video of clinking pink wine glasses on her Instagram Stories. The duo's happiness upon being able to savour the finest wine over there was clearly evident on their faces. On July 8, Divyanka marked her 9th wedding anniversary with Vivek by posting a lovely video on Instagram. In the clip, the actress was seen indulging in a romantic moment with her husband while helping him fix their home's metal lights, and it simply won the hearts of their fans. She captioned the moment as 'Unapologetically, romantically, critically, silly-ly…in love with you. The forever kind! Happy Anniversary Viv!" View this post on Instagram A post shared by Divyanka Tripathi Dahiya (@divyankatripathidahiya) On their professional front, Vivek was last seen in the 2023-released movie Chal Zindagi, while Divyanka was seen in the web series The Magic Of Shiri, which premiered in 2024. view comments First Published: July 10, 2025, 16:10 IST Disclaimer: Comments reflect users' views, not News18's. Please keep discussions respectful and constructive. Abusive, defamatory, or illegal comments will be removed. News18 may disable any comment at its discretion. By posting, you agree to our Terms of Use and Privacy Policy.
Forbes
08-07-2025
- Business
- Forbes
Axelera AI Accelerators Smoke Competitors In Machine Vision Research Study
Axelera CEO Fabrizio Del Maffeo Holds The Company's PCIe AI Accelerator As AI-accelerated workloads proliferate across edge environments—from smart cities to retail and industrial surveillance—choosing the right inference accelerator has become a mission-critical decision for many businesses. In a new competitive benchmark study conducted by our analysts at HotTech Vision and Analysis, we put several of today's leading edge AI acceleration platforms to the test in a demanding, real-world scenario: multi-stream computer vision inference processing of high-definition video feeds. The study evaluated AI accelerators from Nvidia, Hailo, and Axelera AI across seven object detection models, including SSD MobileNet and multiple versions of YOLO, to simulate a surveillance system with 14 concurrent 1080p video streams. The goal was to assess real-time throughput, energy efficiency, deployment complexity and detection accuracy of these top accelerators, which all speak to a product's overall TCO value proposition. Measuring AI Accelerator Performance In Machine Vision Applications All of the accelerators tested provided significant gains over CPU-only inference—some up to 30x faster—underscoring how vital dedicated hardware accelerators have become for AI inference. Among the tested devices, PCIe and M.2 accelerators from Axelera showed consistently stronger throughput across every model, especially with heavier YOLOv5m and YOLOv8l workloads. Notably, the Axelera PCIe card maintained performance levels where several other accelerators tapered off, and it consistently smoked the competition across all model implementations tested. SSD MobileNet v2 Machine Vision AI Model Inferencing Test Results Show Axelera In The Lead YOLOv5s Machine Vision AI Model Results Shows The Axelera PCIe Card Wins Hands-Down But Nvidia Is ... More Competitive That said, Nvidia's higher-end RTX A4000 GPU maintained competitive performance in certain tests, particularly with smaller models like YOLOv5s. Hailo's M.2 module offered a compact, low-power alternative, though it trailed in raw throughput. Overall, the report illustrates that inference performance can vary significantly depending on the AI model and hardware pairing—an important takeaway for integrators and developers designing systems for specific image detection workloads. It also shows how dominant Axelera's Metis accelerators are in this very common AI inference application use case, versus major incumbent competitors like NVIDIA. Power consumption is an equally important factor, especially in AI edge deployments, where thermal and mechanical constraints and operational costs can limit design flexibility. Using per-frame energy metrics, our research found that all accelerators delivered improved efficiency over CPUs, with several using under one Joule per frame of inferencing. SSD MobileNet v2 Power Efficiency Results Shows Axelera Solutions Win In A Big Way YOLOv5s Power Efficiency Results Show Axelera Solutions Ahead But Nvidia And Hailo Close The Gap Here, Axelera's solutions out-performed competitors in all tests, offering the lowest energy use per frame in all AI models tested. NVIDIA's GPUs closed the gap somewhat in YOLO inferencing models, while Hailo maintained respectable efficiency, particularly for its compact form factor. The report highlights that AI performance gains do not always have to come at the cost of power efficiency, depending on architecture, models and workload optimizations employed. Beyond performance and efficiency, our report also looked at the developer setup process—an often under-appreciated element of total deployment cost. Here, platform complexity diverged more sharply. Axelera's SDK provided a relatively seamless experience with out-of-the-box support for multi-stream inference and minimal manual setup. Nvidia's solution required more hands-on configuration due to model compatibility limitations with DeepStream, while Hailo's SDK was Docker-based, but required model-specific pre-processing and compilation. The takeaway: development friction can vary widely between platforms and should factor into deployment timelines, especially for teams with limited AI or embedded systems expertise. Here Axelera's solutions once again demonstrated simplicity in its out-of-box experience and setup that the other solutions we tested could not match. Our study also analyzed object detection accuracy using real-world video footage. While all platforms produced usable results, differences in detection confidence and object recognition emerged. Axelera's accelerators showed a tendency to detect more objects and draw more bounding boxes across test scenes, likely a result of its model tuning and post-processing defaults that seemed more refined. Still, our report notes that all tested platforms could be further optimized with custom-trained models and threshold adjustments. As such, out-of-the-box accuracy may matter most for proof-of-concept development, whereas other, more complex deployments might rely on domain-specific model refinement and tuning. Axelera AI's Metis PCI Express Card And M.2 Module AI Inference Accelerators Our AI research and performance validation report underscores the growing segmentation in AI inference hardware. On one end, general-purpose GPUs like those from NVIDIA offer high flexibility and deep software ecosystem support, which is valuable in heterogeneous environments. On the other, dedicated inference engines like those from Axelera provide compelling efficiency and performance advantages for more focused use cases. As edge AI adoption grows, particularly in vision-centric applications, demand for energy-efficient, real-time inference is accelerating. Markets such as logistics, retail analytics, transportation, robotics and security are driving that need, with form factor, power efficiency, and ease of integration playing a greater role than raw compute throughput alone. While this round of testing (you can find our full research paper here) favored Axelera on several fronts—including performance, efficiency, and setup simplicity—this is not a one-size-fits-all outcome. Platform selection will depend heavily on use case, model requirements, deployment constraints, and available developer resources. What the data does make clear is that edge AI inference is no longer an exclusive market GPU acceleration. Domain-specific accelerators are proving they can compete, and in some cases lead, in the metrics that matter most for real-world deployments.
Business Insider
29-06-2025
- Business
- Business Insider
Hasan Minhaj says he once kept his money in shoeboxes — and wonders why he shouldn't hoard cash like Warren Buffett
Hasan Minhaj spoke about keeping his savings in shoeboxes, why using money wisely is so hard, and Warren Buffett 's cash hoard on a recent episode of his podcast. The comedian, best known for his Netflix stand-up specials, laid bare his personal-finance anxieties and doubts about investing advice in a conversation with JL Collins, the author of "The Simple Path to Wealth," on "Hasan Minhaj Doesn't Know." "Money and finances have been something that were oftentimes fear-inducing and very painful for me growing up," he said. Minhaj, who rose to fame as a correspondent on "The Daily Show," recalled doing open-mic nights in Los Angeles as a young comic and being paid in cash or checks that he'd cash immediately. He kept the money in his room and wound up having $3,200 stashed in Nike shoeboxes. One day, he said his roommate walked in and asked, "Are you selling drugs?" Minhaj quickly dispelled him of that notion, but the friend then quizzed him on whether he had a checking account (he did, but only kept a small sum in there) or a 401(k) or Roth IRA to save for retirement (he didn't). That was a wake-up call for Minhaj, who realized he lacked a solid grounding in personal finance. The awakening led him to read Collins' book, and the author's three rules for money resonated with him: Spend less than you earn; invest your savings in an index fund; and avoid debt. Money problems On the podcast, Minhaj underscored to Collins how much temptation there is to "get rich quick" and squander cash. "My feed is a constant stream of financial grifters," he said. "I'm talking crypto bros, NFT scammers, affiliate link farmers, and pump-and-dump incels." Minhaj described the urge to spend money on nice things like iced coffees and vacations, and the YOLO mindset that the stock market could crash tomorrow and pinching pennies was pointless. He also lamented how his bitcoin buddies taunt him for missing out on the crypto boom, and how eking out a modest return from an index fund doesn't seem attractive when others have seen their wealth explode by owning tech stocks like Tesla or Nvidia. Collins responded that it's OK to splurge but be selective, and there have been many crises in past decades yet stocks have always recovered and reached new highs. He added that nobody has a "crystal ball" to see which bets will pay off and which will go to zero ahead of time. Minhaj also asked about Buffett choosing to hold more than $300 billion of cash in Berkshire Hathaway's coffers. Be more Buffett? "If Warren Buffett is sitting on cash and not VTSAX and holding, why are we?" he asked, referring to Collins' favorite holding, the Vanguard Total Stock Market Index Fund. "Why can't we be more like Buffett and just know that something bad is about to happen and maybe hold on to that bread?" Minhaj added. Collins responded by noting the legendary bargain hunter had been stockpiling cash not because he's predicting doomsday, but because he can't find enough compelling purchases to make. Minhaj added that as he approaches 40, he feels the competing forces of the "greed to make more money" and the "fear, holy shit, I could lose a lot of money," and asked how to reconcile them. Collins answered that staying the course and owning an index fund for the long term is the most surefire way to get rich and to avoid losing money. In short, he made it clear to Minhaj that the smart money isn't in crypto or shoeboxes, but in low-fee, long-term index funds that are the safest route to lasting wealth.
Egypt Today
22-06-2025
- General
- Egypt Today
The Ups & Downs Of YOLO
'YOLO' ('You Only Live Once') was a term popularized in 2011, and ever since then, everyone has taken it as a mantra to live life to the fullest and take as many risks as possible. While yes, some aspects in life do require us to jump the gun and be risky and fearless, sometimes, the line between risky and impulsive can be blurry, and we don't always have 20/20 vision. When done wrong, 'YOLO' as a mantra can be destructive and lead to consequences we couldn't handle. So, when do we embrace 'YOLO' and when do they say 'Not now' For starters, this isn't the be-all and end-all guide to know when to go full risk taker, but it's a simplified version of understanding 'YOLO' and knowing how to embrace it or leave it. So, the first thing you need to acknowledge is… Is It The Right Timing? Let's mention a simple example that demonstrates the concept of when to drop 'YOLO.' Say you are at the end of the month and you have barely enough money till the next paycheck, only to see a huge sale on something you like to buy. Ask yourself this question: Is it a vital thing you need, or is it something you can buy later on? So this time, there's no need to follow the 'YOLO' concept and be cautious about what you're going to do. Are You Doing It For The Plot or Do You Need To Be More Adventurous? Raise your hand if you put yourself in a situation that's too risky because you wanted to have an entertaining story, not because you've been waiting to do this thing. I think it's safe to say that we've all been guilty of doing things 'for the plot,' not because we want to do them. 'YOLO' as a mantra is good if you want to get out of your comfort zone and try new things, but is it always the right thing to do? Do you really need to try new things to get out of your shell, or is it a plea for attention and seeking thrills out of boredom, without thinking of the consequences? Before jumping the gun, you should sit with yourself and wonder if your actions are based on being adventurous or reckless. Are You In The Right Mental State to Apply 'YOLO' In the first point mentioned above, I mentioned financial risk when applying YOLO, but what about the mental risk? To fully embrace YOLO, being a risk taker and embracing yourself if things go south, are you okay mentally, and can you handle it when things don't go your way? Risks and impulsivity require levels of carelessness and a calm state of mind. It's not driven by irrationality or emotionality or having a weak state of heart and mind. YOLO is about going all the way, betting it all like in a casino, willingly risking it all, either you win or lose, but either way, you have already embraced yourself to go in those directions. So, before YOLO, you should be sure of yourself and in a peaceful state of mind. After all said above, I cannot dissuade you from YOLO-ING, but I can give you a heads-up. Risks are necessary and crucial, but you should at least know what's coming ahead.
