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Video title: Blessing is riches forbidden in your family ‪@maryjanetv6209‬ please don’t fall for this Content creator ( Youtuber ) : Miss confidence tv Official YT video:

Nick Movie: TREX ALL DINOSAUR ULTIMATE BATTLES 1 HOUR DINOSAUR COMPILATION 2025 INDIMONIS REX Time: 2025 Netflix / Amazon / HBO?: None Duration of the movie:24h 23s Trailer:

Music title: Kim Kardashian vs Kanye West: The Co-Parenting Feud Over Daughter North Signer: WHG Release date: 18/03/2025 Official YouTube link:

Vivo Y39 5G, which was unveiled in Malaysia in February, may launch in India soon. While there hasn't been any official details regarding the launch, a recent report has suggested the expected price of the Indian variant of the smartphone as well as some of its key features. It will likely be similar to its Malaysian counterpart, that is powered by Qualcomm's 4nm octa-core Snapdragon 4 Gen 2 SoC paired with 8GB of RAM. Notably, it is the same chipset that the preceding Vivo Y38 5G carries. Vivo Y39 5G Price in India, Colour Options (Expected) The Vivo Y39 5G will likely be priced at Rs. 16,999 in India for the 8GB + 128GB variant. Meanwhile, an 8GB + 256GB option may cost Rs. 19,999, according to an Xpertpick report citing tipster Sudhanshu Ambhore. The smartphone may be offered in Lotus Purple and Ocean Blue colour options, the report added. Some of these details have surfaced via leaked promotional images. Vivo Y39 5G Key Features (Expected) As per the same report, the Vivo Y39 5G will get an HD+ (720 x 1,608 pixels) resolution display with a 120Hz refresh rate, up to 1,000 nits peak brightness level, and a 264ppi pixel density. The Malaysian variant sports a 6.68-inch LCD screen. The Indian version is expected to carry a Snapdragon 4 Gen 2 SoC paired with 8GB of RAM and support for 128GB and 256GB storage options. Vivo Y19e With 5,500mAh Battery Launched in India: Price, Offers In the camera department, the Vivo Y39 5G Indian variant is expected to get a 50-megapixel Sony rear sensor alongside a 2-megapixel bokeh lens and a ring LED flash unit. The phone may offer an 8-megapixel front camera. Vivo may pack a 6,500mAh battery in the Indian variant of the Y39 5G with support for 44W FlashCharge. It is expected to come with a 5-year battery health certification. For security, the handset will likely get a side-mounted fingerprint sensor. Vivo V50 Lite 5G With MediaTek Dimensity 6300 SoC, 6,500mAh Battery Launched Vivo X200 Ultra Camera Module Officially Teased; Key Features Leaked Again According to the leaked promotional images shared by the publication, the Lotus Purple option measures 8.28mm in thickness and weighs 205g, while the Ocean Blue variant is said to have an 8.37mm thick profile and weigh 207g. For the latest tech news and reviews, follow Gadgets 360 on X, Facebook, WhatsApp, Threads and Google News. For the latest videos on gadgets and tech, subscribe to our YouTube channel. If you want to know everything about top influencers, follow our in-house Who'sThat360 on Instagram and YouTube. Link: https://www.gadgets360.com/mobiles/news/vivo-y39-5g-india-launch-expected-price-leak-features-report-7977706

Large language models (LLMs) like ChatGPT have wowed the world with their capabilities. But they’ve also made headlines for confidently spewing absolute nonsense. This phenomenon, known as hallucination, ranges from fairly harmless mistakes – like getting the number of ‘r’s in strawberry wrong – to completely fabricated legal cases that have landed lawyers in serious trouble. Sure, you could argue that everyone should rigorously fact-check anything AI suggests (and I’d agree). But as these tools become more ingrained in our work, research, and decision-making, we need to understand why hallucinations happen – and whether we can prevent them. To understand why AI hallucinates, we need a quick refresher on how large language models (LLMs) work. LLMs don’t retrieve facts like a search engine or a human looking something up in a database. Instead, they generate text by making predictions. “LLMs are next-word predictors and daydreamers at their core,” says software engineer Maitreyi Chatterjee. “They generate text by predicting the statistically most likely word that occurs next.” We often assume these models are thinking or reasoning, but they’re not. They’re sophisticated pattern predictors – and that process inevitably leads to errors. This explains why LLMs struggle with seemingly simple things, like counting the ‘r’s in strawberry or solving basic math problems. They’re not sitting there working it out like we would – not really. Another key reason is they don’t check what they’re pumping out. “LLMs lack an internal fact-checking mechanism, and because their goal is to predict the next token [unit of text], they sometimes prefer lucid-sounding token sequences over correct ones,” Chatterjee explains. And when they don’t know the answer? They often make something up. “If the model’s training data has incomplete, conflicting, or insufficient information for a given query, it could generate plausible but incorrect information to ‘fill in’ the gaps,” Chatterjee tells me. Rather than admitting uncertainty, many AI tools default to producing an answer – whether it’s right or not. Other times, they have the correct information but fail to retrieve or apply it properly. This can happen when a question is complex, or the model misinterprets context. This is why prompts matter. The hallucination-smashing power of prompts Certain types of prompts can make hallucinations more likely. We’ve already covered our top tips for leveling up your AI prompts. Not just for getting more useful results, but also for reducing the chances of AI going off the rails. For example, ambiguous prompts can cause confusion, leading the model to mix up knowledge sources. Chatterjee says this is where you need to be careful, ask “Tell me about Paris” without context, and you might get a strange blend of facts about Paris, France, Paris Hilton, and Paris from Greek mythology. But more detail isn’t always better. Overly long prompts can overwhelm the model, making it lose track of key details and start filling in gaps with fabrications. Similarly, when a model isn’t given enough time to process a question, it’s more likely to make errors. That’s why techniques like chain-of-thought prompting – where the model is encouraged to reason through a problem step by step – can lead to more accurate responses. Providing a reference is another effective way to keep AI on track. “You can sometimes solve this problem by giving the model a ‘pre-read’ or a knowledge source to refer to so it can cross-check its answer,” Chatterjee explains. Few-shot prompting, where the model is given a series of examples before answering, can also improve accuracy. Even with these techniques, hallucinations remain an inherent challenge for LLMs. As AI evolves, researchers are working on ways to make models more reliable. But for now, understanding why AI hallucinates, how to prevent it, and, most importantly, why you should fact-check everything remains essential. Link: https://www.techradar.com/computing/artificial-intelligence/the-surprising-reason-chatgpt-and-other-ai-tools-make-things-up-and-why-its-not-just-a-glitch

We love Raspberry Pi handhelds and they just keep getting cooler — in this case, it's minty cool. Makers Jackw01 and Soaporsalad have created a really cool Pi-powered gaming handheld they call the "Pi Tin". This tiny gaming handheld uses a Raspberry Pi Zero 2 W and is designed to fit in a case small enough that it can be swapped out for an Altoids brand mint tin. The Raspberry Pi Zero 2 W is a fairly capable gaming machine. It might not be the most powerful Pi, it closely matches the Raspberry Pi 3, but it's definitely the most powerful option with this form factor. The Pi Zero 2 can emulate a handful of consoles — no pun intended — including SNES, Nintendo 64, Sony PlayStation 1 and other handheld systems like the Nintendo Game Boy Advance, Sega Game Gear and the Atari Lynx. The final design features a few elements that take the experience to the next level. The button setup uses Alps tactile switches along with elastomer membranes found in both the Nintendo DSi and Game Boy Advance SP. The hardware can be housed inside of either a custom 3D-printed shell that the team designed themselves or an Altoids tin with a bit of modification and insulation for the circuit boards. One of the biggest aspects of this project design is the custom PCBs. These connect the Pi Zero 2 W to the LCD screen and buttons. There are two PCBs that have been made open source that you can find the design files for over at GitHub and custom order through a website like JBLPCB Or PCBWay to create your own at home. Software-wise you've got a lot of options but the first pick for many would be the official Raspberry Pi OS. However, when it comes to gaming, you can always opt for something like RetroPie or Lakka. If you want some inspiration from similar projects, we definitely recommend checking out MintyPi which also uses an Altoids-sized form factor. To get a closer look at this Raspberry Pi project, check out the official build guide shared to GitHub where you'll find more details about its construction as well as links to all of the files you need to create one for yourself at home. Ash Hill is a contributing writer for Tom's Hardware with a wealth of experience in the hobby electronics, 3D printing and PCs. She manages the Pi projects of the month and much of our daily Raspberry Pi reporting while also finding the best coupons and deals on all tech. Link: https://www.tomshardware.com/raspberry-pi/pi-tin-retro-gaming-handheld-is-minty-fresh-thanks-to-a-raspberry-pi-zero-2-w

Final Fantasy 14's patch 7.2 is coming soon—which means preliminary patch notes. While these aren't usually of much interest, with much of the meat contained in the game's live letters, one particular note leapt out at me: FF14's making changes to its blacklist. I wrote a full story on this back in January, but here's the cliffnotes: In the game's latest expansion, Dawntrail, FF14 made some overall solid changes to its otherwise ineffective blacklisting system. One major benefit was the ability to vanish anyone you've blocked out of your game world entirely—whereas previously, if you were being stalked, you were powerless to do so. However, Square Enix's integration of the feature left a lot to be desired. As modders soon discovered, the change had caused FF14 to beam your account ID, not just your character ID, to other clients. This ID could then be scraped easily, with mods (like the controversial Playerscope) able to snag it—and the way some modders talked about it, it wasn't particularly hard. It should be noted that it was also used by other mods for less nefarious reasons. Well, as the preliminary patch notes read, Square has taken steps to stop it—and is wiping the slate clean for its account IDs as a hard reset: "In accordance with measures introduced in Patch 7.2 to help prevent the identification of account IDs that are not displayed in-game, relevant saved client data has been reset. We apologize for any inconvenience caused and ask for your understanding as we introduce these measures." While this doesn't reveal what Square Enix has actually done to address the issue (which is fair enough, no reason to give stalkers more info than they need), the fact that the client data's been completely reset seems a sign the company's patched up the vulnerability. Otherwise, why go through the hassle? It does, as Square notes, result in a couple of things to keep in mind. "Although information registered on the Blacklist has been preserved, characters blacklisted prior to Patch 7.2 will be displayed as '(Character name could not be retrieved)' … To have blacklisted character names display once more, please consider removing relevant characters from the Blacklist and registering them again. We apologize for the inconvenience." Basically, your blacklist will still work, but blacklisted characters'll no longer have their names present in your list. If Square Enix has fiddled with the account ID system, then this makes sense, because blacklisted player's alts would also be blocked from appearing in your game world. Assuming they were blacklisted by the game via the same system, readjusting account IDs would, well, do that. The post also reads "players will be unable to blacklist characters that were registered as contacts prior to Patch 7.2 via their Contact List" based on the deletion of mute list data—which seems scary at first, but this just means that you won't be able to blacklist someone via your mute list because, one assumes, the account IDs have been scrubbed or re-generated. It remains to be seen whether this has actually fixed the issue. It was a pretty glaring vulnerability in the first place, and one that has likely already still done damage. Even if it is fixed, anyone with a mind to stalk someone has likely already grabbed the information needed to do so. Better late than never, I guess—though for others' sake, I'd have preferred if this'd never happened at all Link: https://www.pcgamer.com/games/final-fantasy/after-a-controversial-coding-mistake-fed-stalkers-info-on-their-victims-alts-ff14-wipes-the-slate-clean-to-try-and-fix-its-mistakes/

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- In-game Name: King_of_dark - Date & Time: 21/3/2025 - Streak Number: 20 -Screen Shot: https://imgur.com/lRspsue