Right from My Lovely Liar to Thirst, here is a carefully curated list of the best fantasy Korean dramas arranged along with their IMDb ratings, cast, creators and so much more. Read

Fantasy Korean dramas

The K-drama community is currently abuzz with Rowoon's upcoming drama, The Matchmakers, as the release date approaches.

Where to watch Rowoon's The Matchmakers online? Release date, air time, plot, cast, & all you need to know

It’s always frustrating when your favorite show gets a new episode delayed, especially when you’re turning in with millions of fellow fans from around the world. Unfortunately, episode 4 of A Good Day to Be a Dog Korean drama series has sadly been postponed,

K-drama fans disappointed as popular series is delayed for major baseball game

A Good Day to Be a Dog episode 4 is now scheduled to premiere on Wednesday, November 1. The new episode will premiere from the following international times: A Good Day to Be a Dog episode 4 will then be released on Viki and Viu when the English translations have been processed.

A Good Day to Be a Dog episode 4 delayed, new release date and time confirmed

“The Matchmakers” tells the story of the meeting between the young widower Shim Jung Woo ( Rowoon) and young widow Jung Soon Deok ( Cho Yi Hyun) as well as the struggle the two go through together to marry off Joseon era’s unmarried women and men who are considered older than the typical prime age range.

Cho Yi Hyun Takes A Bold Step Toward Rowoon In “The Matchmakers”

According to global OTT (over-the-top) platform Rakuten Viki on October 23, “A Good Day to Be a Dog” placed No. 1 in viewership in a total of 93 regions all over the globe including the United States, Canada, Brazil, Mexico, France, Germany ...

“A Good Day To Be A Dog” Ranks No. 1 In Over 90+ Regions On Viki

Cha Eun-woo and Park Gyu-young star as lovers in the latest webtoon adaptation, "A Good Day To Be A Dog." The new series, centred around a generational curse, is innocent and fuzzy romance. Read.

A Good Day To Be A Dog Review: Cha Eun-woo, Park Gyu-young’s ‘puppy’ romance is fun

On October 21 at midnight KST, Dreamcatcher hinted at an upcoming comeback by releasing a brand-new Mystery Code teaser. (As Dreamcatcher fans know, the group’s Mystery Code teasers signal the start of a new era leading up to a comeback.)

Watch: Dreamcatcher Unveils Intriguing Mystery Code Teaser

A Time Called You, My Queen and more, 7 fascinating and mind-blowing K dramas about time travel; on Netflix, MX Player & more

What to watch today: 7 fascinating and mind-blowing K-dramas about time travel; on Netflix, MX Player & more

The live-action adaptation of Shiho Watanabe's Kissing the Ring Finger manga is now streaming on Rakuten Viki in India, as spotted by ANN.

Live-Action Adaptation of Kissing the Ring Finger Manga Now Streaming in India

Rakuten Viki

viki

DUBAI, UAE, September 18th, 2024/Chainwire/--VIKITA, a memecoin operating on the SunPump platform, has been listed on the Poloniex exchange, available for trading against USDT (Tether). Built on the TRON blockchain, VIKITA benefits from fast, low-cost transactions, providing users with an efficient trading experience. SunPump, the platform hosting VIKITA, specializes in supporting memecoins, allowing users to create, buy, and sell tokens without the need for initial liquidity. This structure aims to simplify access to token creation and trading for users within the ecosystem. With a limited supply of 1 million tokens, VIKITA has seen notable trading activity since its listing. The liquidity of the token has surpassed $300,000, while the daily trading volume has exceeded 1 million TRX. The token has also reached a market capitalization of over $7 million as of the date of this release, placing it among the top 10 tokens by market capitalization on the SunPump platform. VIKITA’s distribution has been managed exclusively through SunPump, ensuring transparency in the process. The platform's structure seeks to eliminate potential risks of manipulation. SunPump is a growing platform within the TRON ecosystem, known for its role in facilitating USDT trading. The platform’s focus on memecoins has attracted significant interest in VIKITA, contributing to its early market performance. About VIKITA VIKITA is a memecoin built on the TRON network and operates on the SunPump platform, which is designed to support the creation, buying, and selling of memecoins without requiring initial liquidity. With a limited supply of 1 million tokens, VIKITA offers fast, low-cost transactions, benefiting from TRON’s blockchain infrastructure. Since its launch, VIKITA has gained significant attention in the market, becoming one of the top tokens by market capitalization on the SunPump platform. Contact Jessica Coner VIKITA team@vikita.xyz This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here DUBAI, UAE, September 18th, 2024/Chainwire/--VIKITA, a memecoin operating on the SunPump platform, has been listed on the Poloniex exchange, available for trading against USDT (Tether). Built on the TRON blockchain, VIKITA benefits from fast, low-cost transactions, providing users with an efficient trading experience. SunPump, the platform hosting VIKITA, specializes in supporting memecoins, allowing users to create, buy, and sell tokens without the need for initial liquidity. This structure aims to simplify access to token creation and trading for users within the ecosystem. With a limited supply of 1 million tokens, VIKITA has seen notable trading activity since its listing. The liquidity of the token has surpassed $300,000, while the daily trading volume has exceeded 1 million TRX. The token has also reached a market capitalization of over $7 million as of the date of this release, placing it among the top 10 tokens by market capitalization on the SunPump platform. VIKITA’s distribution has been managed exclusively through SunPump, ensuring transparency in the process. The platform's structure seeks to eliminate potential risks of manipulation. SunPump is a growing platform within the TRON ecosystem, known for its role in facilitating USDT trading. The platform’s focus on memecoins has attracted significant interest in VIKITA, contributing to its early market performance. About VIKITA VIKITA is a memecoin built on the TRON network and operates on the SunPump platform, which is designed to support the creation, buying, and selling of memecoins without requiring initial liquidity. VIKITA With a limited supply of 1 million tokens, VIKITA offers fast, low-cost transactions, benefiting from TRON’s blockchain infrastructure. Since its launch, VIKITA has gained significant attention in the market, becoming one of the top tokens by market capitalization on the SunPump platform. Contact Jessica Coner VIKITA team@vikita.xyz This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here

VIKITA Token Listed On Poloniex, Facilitating Trading On The TRON Network

VIKITA Token llistat a Poloniex, facilitant el comerç a la xarxa TRON

VIKITA-Token auf Poloniex gelistet, was den Handel im TRON-Netzwerk erleichtert

El token VIKITA se incluye en Poloniex, lo que facilita el comercio en la red TRON

Poloniex-en zerrendatutako VIKITA tokena, TRON sarean merkataritza erraztuz

VIKITA token uvršten na Poloniex, olakšava trgovanje na mreži TRON

VIKITAトークンがPoloniexに上場、TRONネットワークでの取引を促進

VIKITA ტოკენი ჩამოთვლილია Poloniex-ზე, ხელს უწყობს ვაჭრობას TRON ქსელში

VIKITA Token Listé Na Poloniex, Facilitation Ya Commerce Na Réseau TRON

VIKITA Tokens ir iekļauts Poloniex sarakstā, atvieglojot tirdzniecību TRON tīklā

Token VIKITA listado na Poloniex, facilitando a negociação na rede TRON

VIKITA Token Yashyizwe kuri Poloniex, Yorohereza Ubucuruzi Kumurongo wa TRON

VIKITA Chiratidzo chakanyorwa paPoloniex, Inofambisa Kutengeserana paTRON Network

In the name of God, this year’s third release of Flutter 3.3 is here, giving Flutter developers more opportunities to build out the world apps for Android, iOS, Mac, Windows, and more from a single codebase. Google unleashed what’s new in Flutter 3.3 at the beginning of a community-led conference, Flutter Vikings, dedicated to Flutter and Dart that took place in Oslo. It’s good to see how the Flutter economy is snowballing. Over 500K developers from different corners of the world registered for the event. Not only fan following but the usage of Google’s “massive cross-platform” development kit has also increased, said Tim Sneath, “Every day, more than 1,000 new mobile apps using Flutter are published to the Apple and Google Play stores, along with more usage on web and desktop,” he added. Moving further, the Flutter 3.3.0 release note focuses on refining the performance to reinforce Flutter 3’s features. It also includes extending support for Google’s latest design language, Material You, with newly updated widgets and improvements, Scribble handwriting, selectable text grouping, and more. With this release, Flutter’s underlying programming language Dart upgrades to 2.18 with FFI support for libraries and connects with Swift and Obj-C code. There is so much to know about Flutter 3.3.0 release note so that you can . So, let’s get going! enhance Flutter development performance across desktop, web, and mobile Flutter 3.3 Release Note Highlights Worth Your Attention Material Design 3 IconButton, Chips, and AppBar, with large and medium variants from Material 3 have all been improved in this Flutter release. And faster loading times and lower memory usage for images included in the app are possible with the new ui.ImmutableBuffer.fromAsset() method. However, to leverage these redesigned widgets of Material You, Flutter developers need to opt for “useMaterial3.” Given that the team has kept it optional. Scribble The Flutter team has brought interesting, exhilarating, and amusing UI with default support for Scribble handwriting input on iPadOS using the Apple Pencil. Flutter developers can easily enable this functionality by upgrading to Flutter 3.3, and it will be enabled by default on “CupertinoTextField,” “TextField,” and “EditableText.” Text input Flutter 3.3 has also focused on the text input and improved it by introducing the ability to receive granular text updates directly from “TextInputPlugin.” So now, TextEditingDeltas and the DeltaTextInputClient fill the information gap that occurred previously as the plugin couldn’t differentiate between old and new. Consequently, developers can create an input field that contracts and expands as you type. Global Selection Mark our words when we say Flutter will dissolve the fine line between cross-platform and native apps no matter what platform. Until the Flutter 3.3 release, you couldn’t match web experience with expected behavior while attempting to select text. Because web native apps also contain a tree of elements, and you can easily select multiple web elements with a single gesture. But this was not the case in Flutter web apps before. Now, the introduction of the SelectableArea widget lets you enable the selection of any child of the widget for free. New Graphic engine “Impeller” Flutter uses the Skia rendering engine but looking at the future, Google’s team is working on a new next-gen rendering layer, “Impeller.” The new graphic engine will utilize the power of hardware-accelerated graphic APIs Metal on iOS and Vulkan on Android to give a performance boost to your Flutter app. However, the Impeller is currently available as an early adopter preview on iOS and seeking your feedback. So, when are you trying? Wonderous: UI reference app Partnering with Gskinner’s design team, the Flutter team has created this wonderful Wonderous app that showcases how far Flutter goes in delivering high-end, beautiful user experiences. The app lets you explore the world’s best places, from the Taj Mahal to the Mayan ruins of Chichén Itzá, right on your phone. Its wide range of visual techniques, UI, and graphics are to inspire Flutter developers. Above all, by installing the app on an Apple device, you can see Impeller in action. VS Code improvements The Flutter 3.3 release has taken the pain of adding dependencies out of the Visual Studio Code Extention for Flutter. Using Dart: Add Dependency, Flutter developers can now add multiple and comma-separated dependencies in one step. Navigation API The Flutter team has taken care of Flutter app development with complex navigation requirements by extending its native navigation API. the go_router is a Flutter package that simplifies routing through a declarative, URL-based API to navigate and handle deep links. Now, they have rolled out a new version, 4.3 of this package, that enables redirecting using asynchronous code. Ultimately, it makes navigation across mobile, web, and desktop even smoother. DevTools The DevTools have been updated with a number of refinements since the last release to make the development process smoother and more geared towards results. These updates include performance boosts in data display tables, UX optimization, smoother scrolling of large lists of events, and more. Lastly, let’s peep into what’s new in Dart 2.18 With Google’s SDK, its programming language also grows, and this time it turns to Dart 2.18; here are its notable improvements. Dart’s “FFI–Foreign function interface” support has been extended to seamlessly connect with code written in Swift and Obj-C. Dart 2.18 minimizes the need to write platform-specific code using the , which enables developers to achieve platform-specific behavior. package:http Client API It also brings improved type inference to write more concise code while maintaining the complete soundness properties of the strongly inferred types. Performance improvements to async code; Improved interoperability; New pub.dev features, such as a funding tag; For more, you must check . Dart 2.18 official post Upgrade or Build your app with Flutter 3.3 Not only enterprises but software companies have also started hiring Flutter developers rigorously, and the reasons are obvious. Every other project is using Flutter these days. So, the rising demand for Flutter developers is inevitable. From the Flutter 3.3 and Dart 2.18 releases, we can foresee where Google is taking cross-platform app development to. It would be foolish if you won’t take advantage of this marvelous technology to build out-of-the-box solutions. Are your resources ready to create a Valhalla experience for your users with Flutter?

Highlights Of Flutter 3.3 Released During Flutter Vikings Conference

March 7th, It was as usual as it gets on the Viking Swap telegram feed. Viking Token price was down %90 from its mouth-watering ATH of 73$. Members were talking about the new NFT burn model that has been said to be worked on by devs. As usual devs were nowhere to be seen on the channel. When asked about, moderator Enzee remarked that the devs “value their privacy”. Then in a few hours suddenly the telegram channel was locked and Viking Swap’s medium feed and telegram channel both displayed the same message titled “An Ode to Warriors” that announced devs have pulled the plug. The result was a frenzy of people trying to pull their liquidity assets from the Viking Swap pools. As VIKING token price headed for 0$, those who were hit the worst was the people who staked on the VIKING/BUSD pool. They were able to get a tiny fraction of what they put in if they were lucky. So what happened? Is this a rug pull? Some new kind of scam? Or just sheer incompetence? Who is at fault here? Before this story unfolded, I was reading through the Viking Swap contract codes, and sifting through the addresses to understand how it works. Viking swap was obviously a clone of Goose Finance, which in turn seemed to have taken most of its contract code from SushiSwap. It was one of the many clones most of which seemed to have animal names for some reason. In my short research I didn’t find any vulnerabilities or deliberately put in backdoors in the code. As it was mostly SushiSwap code with migrator removed, and a timelock of 24h put in the administrative functions, it seemed to be quite safe. Although the tokenomics didn’t really make sense. The swap fees wouldn’t really amount to anything as the site really wasn’t used for swap except for its own token. Most of the value the users get from the system was VIKING tokens that were being constantly minted for stakers. I checked the token contract history to see 50000 VIKING tokens were preminted to 0x41bc71f56bebf212be0448e2f418c493bbb9f46d before its control was passed to over to MasterChef contract. And this address was also set as the developer fee address. All VIKING tokens transferred to this address have been burned by sending them to 0x000…dead. But this wallet also had a huge amount EGG tokens that are tokens awarded to Goose Finance stakers. These token came at a steady rate from the Viking MasterChef contract. They are the %4 deposit fees taken from Viking Swap Armory stakers, which they promised will be used to buyback VIKING tokens, which they never did. This wallet now holds 320K worth of EGG tokens, along with other tokens taken from armory deposit fees adding up to 1.2mil$ at the time of writing. It seems the “devs” didn’t put much trust in their token after all and they didn’t keep their promise to buyback VIKING tokens with the armory fees. It is possible that all the other functionalities of the service was just a front to pull money into Armory Vaults to get the developer fees. When the armory started to slow down and VIKING token price inevitably tanked they just pulled the plug. So is this a rug pull? Not really, as the code was solid and none of the staker funds could be moved by the developers. They just took the developer fees that they and never did what what they promised with it, buying back VIKING tokens. That inevitably to lead to tanking of the VIKING price because all stakers sold their VIKING tokens to realize their “gains”. When the music stopped they shut down the shop and took the developer fees with them. So I think this is an exit scam. And it clearly shows stakers don’t have the knowledge to check if the devs are doing what they promised. The victims are now gathered at a Telegram Channel called “Valhalla” and discussing what can be done. If you are a victim you can reach the telegram channel here: . It has been discussed that most of the trust they put in the project stems from audits made by Hacken, an Ukrainian Smart Contract Auditing service. Some victims blame Hacken for giving Viking Swap a safe aura. https://t.me/joinchat/WY9EuMtMkJcxYTJh I don’t really agree with them. They did their job correctly. There were no security problems involved in this scam. The stakers were just blinded by the echo chamber of constant shilling on the telegram channel, and none of them had the expertise or tenacity to review the system as a whole to see what could go wrong. Or maybe someone did but they were dismissed as disseminating FUD. This highlights that most of the De-Fi projects on Binance Smart Chain is are just clones without any real business model. They are Ponzi Schemes at best. Some aspects are even worse than a Ponzi Scheme as not all the newcomers money trickles up through the layers. Most of the money goes right through to developers to do with it whatever they want. A true de-fi project should always back their promises with smart contract. If it was the intention of Viking Swap developers to really buy back VIKING tokens with developer fee money, they could have replaced the developer fee account with a smart contract that does what they promised automatically and verifiably. The fact that they didn’t, shows us it was never their intention all along. For all the victims, I’m sorry for your loss. Please do your research before venturing forth to uncharted waters next time.

What Does A DeFi Rug Pull Look Like: A Viking Swap Story

AI Consciousness is Inevitable: A Theoretical Computer Science Perspective: References

Learning how to use AI tools using plots and examples from science fiction movies. 77% of people fear they could lose their jobs to artificial intelligence in the next 12 months. These are the results of a July 2023 study published by Forbes. It is a great demonstration of people's propensity for irrational fears. Particularly, when people have been scared for a long time with stories about Skynet, TechnoCore, and similar soulless, but invariably bloodthirsty, AI. In reality, there are no streams of ex-employees leaving their offices with boxes of personal belongings in their hands. Among our colleagues, acquaintances, and clients, there is not a single person who has fired an employee or lost his or her job because artificial intelligence has replaced them. On the contrary, there is a consistent shortage of qualified personnel. This includes those who are able to effectively search for and use various AI applications in their work. There is a very real, factual problem that we want to dedicate this article to. While working on our Pitch Avatar, we have more than once encountered complaints about the difficulties of working with AI tools. To summarize, they boil down to the fact that many users have found their expectations of AI to be unrealistic. "I thought it would be smarter," one of our acquaintances irritatedly remarked, sharing his experience with one popular AI chatbot that he used as a text generator and editor. And he is, to repeat, not alone. Notorious "hallucinations", errors, and multiple repetitions or banalities are only part of the problem. Much worse is the fact that people often fail to find a "common language" with AI. The application, which purports to be trained to perceive natural speech, nevertheless struggles to understand what users want from it, interpreting its requests in its own way time after time. In turn, the human user is repeatedly frustrated in their attempts to tell the AI what it wants... Have you experienced any of the above? If so, then welcome aboard. In search of answers and solutions to these problems, we embark on a journey through the plots of sci-fi movies. The Brute Force Method To begin with, while seemingly similar, AI-based tools, even those designed to accomplish the same goals, are still different. You shouldn't conclude that AI can't handle your tasks based on one or two solutions. Even if they all look the same to you. Try to act like Detective Del Spooner from Alex Proyas' movie I, Robot. He believed in the existence of a unique robot among serial models, persistently searched for it, and managed to find it. Moreover, in the end, this robot turned out to be the tool that helped the detective to fulfill a supremely difficult task - to defeat an out-of-control artificial intelligence, V.I.K.I. So be persistent. If you must - explore the myriad possibilities and try dozens, if necessary, of different AI tools in your work. Almost certainly you will find one to your liking. Exclusion Method Imagine that you have formulated a task for your AI (for example, to find some article or create some content), and it "mined" or generated something that technically meets your request, but is not what you wanted. At the same time, for various reasons, you can't clarify your query or reformulate it. This may be because you lack sufficient information. What to do? Skynet and the Terminator in James Cameron's movie were in the same situation. Remember, they didn't know exactly which Sarah Connor from Los Angeles they wanted. So the Terminator decided to "visit" all the Sarah Connors in Los Angeles by simply moving through all of the Sarah Connors listed in the phone book. Makes sense, doesn't it? This is not a bad solution in situations where the AI responding to your query is not giving you the result you want. If you have time, you can simply be patient and methodically repeat your query, specifying that the previous results are not suitable. Sooner or later, the AI will hit the target. A Method of Checking for Complexity and Contradictions Anyone who has worked with AI has encountered the proverbial machine hallucinations and delusions. This includes all of those situations where text generators write incoherent nonsense, AI analytics show calendar data from a century ago, universal AI assistants create empty references and invent quotes from non-existent people, and image generators offer a maze of disfigured people, skewed buildings, and insane landscapes. However, before you rage at your AI assistants, consider why this is happening. Let's reveal a terrible secret: Artificial intelligence isn't trying to piss you off. It's trying to please you by producing the most satisfying result possible. But all AI is limited in terms of resources, time, and skill. That is why AI always tries to follow the path of least resistance. And if a task exceeds its capabilities for one reason or another, it starts to "rave", simplifying the task to a level that allows it to fit into the Procrustean bed of its skills and resources. Think of the classic example from Stanley Kubrick's movie 2001: A Space Odyssey, made in 1968. In it, HAL 9000, a very smart AI that is installed in a spaceship was given a task that contradicted its basic programming. As a result, it "went mad" and decided to eliminate the contradiction by destroying the crew... When faced with signs of "madness" in your AI tools, think about whether your task is ambiguous or contradictory. Can it be formulated more clearly, specifically, and as a result, more simply? Keep in mind - "simpler" does not always mean "shorter". Sometimes, in order to make the task unambiguous, you have to spend not less, but more words for clarification. A Method for Identifying Major and Minor Another common problem is that AI focuses on secondary tasks rather than primary ones. Let's say you need a text about otters living in a lake. And you instruct the AI writer to generate it. But as a result, it produces a narrative 90% is dedicated to the lake itself and only 10% to otters. And the story about the lake, in its turn, is full of details that have nothing to do with nature at all. For example, human settlements located on its shores and their history. Something similar is demonstrated by such movie characters as the protocol robot C3PO from the epic Star Wars or the android Data from the Star Trek: The Next Generation series. They would, occasionally, start sharing information not directly related to the solution for which they had been approached. Other characters were often forced to either clarify the task at hand or simply interrupt the stream of consciousness from the AI. From these examples, it is clear that when formulating tasks for AI, one should clearly prioritize them. A good example is the straightforward order given to the android Ash in Ridley Scott's movie, Alien. Ash was tasked with ensuring the delivery of an alien organism to Earth. It was explicitly specified that the survival of the crew of the ship Nostromo, which included him, could be neglected. Though Ash himself even admitted to sympathizing with the humans he served with, orders were orders and he followed them diligently. Human-AI System, or the Inevitable "42" It is time for the main conclusions of this text. Let's ask ourselves - why, for all their logic, did Skynet and Terminator, HAL 9000 and Ash, and many other movie-villain AIs fail? It goes without saying that "Because the script said so" is not an acceptable answer. The correct answer is because all of these AIs opposed humans, rather than cooperating with them. And this is the point of any artificial intelligence’s basic philosophy. It is not designed to work independently but rather to interact with humans. If you will, any artificial intelligence is a part of a "Human-AI" system. Outside of this system, it is incomplete. For AI to work effectively, it will always need people to give it tasks, as well as to edit, correct, and refine the results of its work. As a consequence, as we develop artificial intelligence we will constantly need to develop our skills in working with it. AI mistakes are inevitable because they are inevitable in humans. It is important to keep in mind that AI is learning and developing. And, as we know, it is impossible to travel this path without mistakes and failures. That's why we should always be ready to hear this answer from AI: "42" The article was created in collaboration with Andriy Tkachenko. Feature (C) Image created with Bing Learning how to use AI tools using plots and examples from science fiction movies. Learning how to use AI tools using plots and examples from science fiction movies. 77% of people fear they could lose their jobs to artificial intelligence in the next 12 months. These are the results of a July 2023 study published by Forbes . It is a great demonstration of people's propensity for irrational fears. Particularly, when people have been scared for a long time with stories about Skynet, TechnoCore, and similar soulless, but invariably bloodthirsty, AI. published by Forbes published by Forbes In reality, there are no streams of ex-employees leaving their offices with boxes of personal belongings in their hands. Among our colleagues, acquaintances, and clients, there is not a single person who has fired an employee or lost his or her job because artificial intelligence has replaced them. On the contrary, there is a consistent shortage of qualified personnel. This includes those who are able to effectively search for and use various AI applications in their work. There is a very real, factual problem that we want to dedicate this article to. While working on our Pitch Avatar , we have more than once encountered complaints about the difficulties of working with AI tools. To summarize, they boil down to the fact that many users have found their expectations of AI to be unrealistic. Pitch Avatar Pitch Avatar "I thought it would be smarter," one of our acquaintances irritatedly remarked, sharing his experience with one popular AI chatbot that he used as a text generator and editor. And he is, to repeat, not alone. Notorious "hallucinations", errors, and multiple repetitions or banalities are only part of the problem. Much worse is the fact that people often fail to find a "common language" with AI. The application, which purports to be trained to perceive natural speech, nevertheless struggles to understand what users want from it, interpreting its requests in its own way time after time. In turn, the human user is repeatedly frustrated in their attempts to tell the AI what it wants... Have you experienced any of the above? If so, then welcome aboard. In search of answers and solutions to these problems, we embark on a journey through the plots of sci-fi movies. The Brute Force Method To begin with, while seemingly similar, AI-based tools, even those designed to accomplish the same goals, are still different. You shouldn't conclude that AI can't handle your tasks based on one or two solutions. Even if they all look the same to you. Try to act like Detective Del Spooner from Alex Proyas' movie I, Robot. He believed in the existence of a unique robot among serial models, persistently searched for it, and managed to find it. Moreover, in the end, this robot turned out to be the tool that helped the detective to fulfill a supremely difficult task - to defeat an out-of-control artificial intelligence, V.I.K.I. So be persistent. If you must - explore the myriad possibilities and try dozens, if necessary, of different AI tools in your work. Almost certainly you will find one to your liking. Exclusion Method Imagine that you have formulated a task for your AI (for example, to find some article or create some content), and it "mined" or generated something that technically meets your request, but is not what you wanted. At the same time, for various reasons, you can't clarify your query or reformulate it. This may be because you lack sufficient information. What to do? Skynet and the Terminator in James Cameron's movie were in the same situation. Remember, they didn't know exactly which Sarah Connor from Los Angeles they wanted. So the Terminator decided to "visit" all the Sarah Connors in Los Angeles by simply moving through all of the Sarah Connors listed in the phone book. Makes sense, doesn't it? This is not a bad solution in situations where the AI responding to your query is not giving you the result you want. If you have time, you can simply be patient and methodically repeat your query, specifying that the previous results are not suitable. Sooner or later, the AI will hit the target. A Method of Checking for Complexity and Contradictions Anyone who has worked with AI has encountered the proverbial machine hallucinations and delusions. This includes all of those situations where text generators write incoherent nonsense, AI analytics show calendar data from a century ago, universal AI assistants create empty references and invent quotes from non-existent people, and image generators offer a maze of disfigured people, skewed buildings, and insane landscapes. However, before you rage at your AI assistants, consider why this is happening. Let's reveal a terrible secret: Artificial intelligence isn't trying to piss you off. It's trying to please you by producing the most satisfying result possible. But all AI is limited in terms of resources, time, and skill. That is why AI always tries to follow the path of least resistance. And if a task exceeds its capabilities for one reason or another, it starts to "rave", simplifying the task to a level that allows it to fit into the Procrustean bed of its skills and resources. Think of the classic example from Stanley Kubrick's movie 2001: A Space Odyssey, made in 1968. In it, HAL 9000, a very smart AI that is installed in a spaceship was given a task that contradicted its basic programming. As a result, it "went mad" and decided to eliminate the contradiction by destroying the crew... When faced with signs of "madness" in your AI tools, think about whether your task is ambiguous or contradictory. Can it be formulated more clearly, specifically, and as a result, more simply? Keep in mind - "simpler" does not always mean "shorter". Sometimes, in order to make the task unambiguous, you have to spend not less, but more words for clarification. A Method for Identifying Major and Minor Another common problem is that AI focuses on secondary tasks rather than primary ones. Let's say you need a text about otters living in a lake. And you instruct the AI writer to generate it. But as a result, it produces a narrative 90% is dedicated to the lake itself and only 10% to otters. And the story about the lake, in its turn, is full of details that have nothing to do with nature at all. For example, human settlements located on its shores and their history. Something similar is demonstrated by such movie characters as the protocol robot C3PO from the epic Star Wars or the android Data from the Star Trek: The Next Generation series. They would, occasionally, start sharing information not directly related to the solution for which they had been approached. Other characters were often forced to either clarify the task at hand or simply interrupt the stream of consciousness from the AI. From these examples, it is clear that when formulating tasks for AI, one should clearly prioritize them. A good example is the straightforward order given to the android Ash in Ridley Scott's movie, Alien. Ash was tasked with ensuring the delivery of an alien organism to Earth. It was explicitly specified that the survival of the crew of the ship Nostromo, which included him, could be neglected. Though Ash himself even admitted to sympathizing with the humans he served with, orders were orders and he followed them diligently. Human-AI System, or the Inevitable "42" It is time for the main conclusions of this text. Let's ask ourselves - why, for all their logic, did Skynet and Terminator, HAL 9000 and Ash, and many other movie-villain AIs fail? It goes without saying that "Because the script said so" is not an acceptable answer. The correct answer is because all of these AIs opposed humans, rather than cooperating with them. And this is the point of any artificial intelligence’s basic philosophy. It is not designed to work independently but rather to interact with humans. If you will, any artificial intelligence is a part of a "Human-AI" system. Outside of this system, it is incomplete. For AI to work effectively, it will always need people to give it tasks, as well as to edit, correct, and refine the results of its work. As a consequence, as we develop artificial intelligence we will constantly need to develop our skills in working with it. AI mistakes are inevitable because they are inevitable in humans. It is important to keep in mind that AI is learning and developing. And, as we know, it is impossible to travel this path without mistakes and failures. That's why we should always be ready to hear this answer from AI: "42" The article was created in collaboration with Andriy Tkachenko. The article was created in collaboration with Andriy Tkachenko. Feature (C) Image created with Bing Feature (C) Image created with Bing

A Cinematic Tutorial on How to Work With Artificial Intelligence

After an April full of exciting game releases like The Crew Motorfest, Stellar Blade, and No Rest for the Wicked, May isn’t staying even a bit behind. In this story, we are going to check out the 10 best games to be released this month. Personally, I can’t wait to play them, and you shouldn’t miss out too. Endless Ocean Luminous - May 2 https://www.youtube.com/watch?v=tKXjoA_Gai4&embedable=true Release Date: May 2
Platforms: Switch
Publisher: Arika Following the steps of his predecessors, Endless Ocean Luminous puts you in control of a scuba diver to explore the fictional Velled Sea, with over 500 species for you to discover. Team up with folks all over the world, because now, the matches allow groups of up to 30 people to explore sunk temples and shipwrecks. Crow Country - May 9 https://www.youtube.com/watch?v=iy1cICMVSTk&embedable=true Release Date: May 9
Platforms: PC, PS5
Studio: SFB Games With a retro style, Cow Country tries to bring to life the golden era of horror games; using a tank camera, its art style and mechanics resemble a lot of the classic Resident Evil games in all its glory. In this game, you’re gonna explore an abandoned park to understand why Edward has closed it while solving many puzzles and mysteries. A demo for Crow Country is available here. Little Kitty, Big City - May 9 https://www.youtube.com/watch?v=LWUdu2q88K4&embedable=true Release Date: May 9
Platforms: PC, Switch, Xbox One, Xbox Series X/S
Studio: Double Dagger Studio With a cutesy art style, Little Kitty, Big City lets you take control of a cat who is trying to go back home; you can mainly focus on finding your way back, or explore as a true cat would. Climb on people’s furniture, break their glasses, steal their objects, find collectibles, and interact with other animals before going home. Homeworld 3 - May 13 https://www.youtube.com/watch?v=oVCUI70kF7o&embedable=true Release Date: May 13
Platforms: PC
Studio: Blackbird Interactive Homeworld 3 is a galactic real-time strategy game where you can play solo, PvP, and Coop. It continues the award-winning story of Homeworld 2, with massive battles among the stars and nebulas. Now, the game also includes a coop mode for up to 3 players, in a battle on the molds of roguelike. Team up with your friends in random fleet battles while obtaining artifacts to improve your ships. The Rogue Prince of Persia - May 14 https://www.youtube.com/watch?v=XZzOxEK7hXo&embedable=true Release Date: May 14
Platforms: PC
Studio: Evil Empire The Rogue Prince of Persia is a new take on the franchise. This time, in the hands of Evil Empire, the creators of Dead Cells, this new entry will get a different art style from its predecessor and will have a roguelike gameplay, which the team at Evil Empire are professionals doing. The game will also feature a procedurally generated map, set place around the city of Ctesiphon. You will battle the Hun army that was sent to destroy the city, and it is your job to prevent it. Ghost of Tsushima: Directors Cut - May 16 https://www.youtube.com/watch?v=EzWBNwhb870&embedable=true Release Date: May 16
Platforms: PC
Studio: Sucker Punch Productions The once-Playstation exclusive is making its way to PC this month. This version includes everything from the original version and some extra functionalities due to the power of the PC. Enjoy the Tsushima island with unlocked FPS and multiple graphic customizations, support to super ultra-wide monitors, increase the performance using the functionalities of your GPU, like DLSS, FSR, and XeSS, and enjoy high-quality sync with Japanese, due to real-time cutscene rendering. Senua’s Saga: Hellblade 2 - May 21 https://www.youtube.com/watch?v=3VYGOkMnGCE&embedable=true Release Date: May 21
Platforms: PC, Xbox Series X/S
Studio: Ninja Theory In the sequel Hellblade: Senua’s Sacrifice, we follow again the story of Senua while she battles for survival on the Viking Island. There, you will fight to save the victims of the tyranny while dealing with her own darkness. System Shock: Remake - May 21 https://www.youtube.com/watch?v=mNDdQ6_pYgk&embedable=true Release Date: May 21
Platforms: PS4, PS5, Xbox One, Xbox Series X/S
Studio: Nightdive Studio The complete remake of the 1994 cult System Shock that was released for PC in 2023 is now making its way to consoles. In this game, you live in Cidadela Station, but everything gets out of hand when the most advanced AI takes control of everything, turning its people into cyborgs and mutants looking for blood. Fight for survival and destroy SHODAN before it destroys you. Paper Mario: The Thousand-Year Door - May 23 https://www.youtube.com/watch?v=gCV-uTRULn8&embedable=true Release Date: May 23
Platforms: Switch
Studio: Intelligent Systems Initially released for the GameCube in 2004, Super Paper Mario The Thousand-Year Door is an RPG praised by critics and won the RPG of the Year award in 2005. In this entry, you will take the role of Mario, while he tries to save Princess Peach from the hands of Grodus, collecting all the Crystal Stars and making new friends along the way. F1 24 - May 31 https://www.youtube.com/watch?v=NnyCWsA6KSI&embedable=true Release Date: May 31
Platforms: PC, PS4, PS5, Xbox One and Xbox Series X/S
Studio: Codemasters That is the newest entry in the F1 yearly franchise; it includes more refined graphics, a revamped campaign, a new physics system that impacts the performance of your car, crossplay, and a VR mode. Those were the games I’m keeping an eye on this month; let me know what games you are interested in this month or if I missed an important game in the comments below. After an April full of exciting game releases like The Crew Motorfest, Stellar Blade, and No Rest for the Wicked, May isn’t staying even a bit behind. In this story, we are going to check out the 10 best games to be released this month. Personally, I can’t wait to play them, and you shouldn’t miss out too. Endless Ocean Luminous - May 2 https://www.youtube.com/watch?v=tKXjoA_Gai4&embedable=true https://www.youtube.com/watch?v=tKXjoA_Gai4&embedable=true Release Date: May 2 Platforms: Switch Publisher: Arika Release Date: May 2 Release Date: Platforms: Switch Platforms: Publisher: Arika Publisher: Following the steps of his predecessors, Endless Ocean Luminous puts you in control of a scuba diver to explore the fictional Velled Sea, with over 500 species for you to discover. Team up with folks all over the world, because now, the matches allow groups of up to 30 people to explore sunk temples and shipwrecks. Crow Country - May 9 https://www.youtube.com/watch?v=iy1cICMVSTk&embedable=true https://www.youtube.com/watch?v=iy1cICMVSTk&embedable=true Release Date: May 9 Platforms: PC, PS5 Studio: SFB Games Release Date: May 9 Release Date: Platforms: PC, PS5 Platforms: Studio: SFB Games Studio: With a retro style, Cow Country tries to bring to life the golden era of horror games; using a tank camera, its art style and mechanics resemble a lot of the classic Resident Evil games in all its glory. In this game, you’re gonna explore an abandoned park to understand why Edward has closed it while solving many puzzles and mysteries. A demo for Crow Country is available here . here Little Kitty, Big City - May 9 https://www.youtube.com/watch?v=LWUdu2q88K4&embedable=true https://www.youtube.com/watch?v=LWUdu2q88K4&embedable=true Release Date: May 9 Platforms: PC, Switch, Xbox One, Xbox Series X/S Studio: Double Dagger Studio Release Date: May 9 Release Date: Platforms: PC, Switch, Xbox One, Xbox Series X/S Platforms: Studio: Double Dagger Studio Studio: With a cutesy art style, Little Kitty, Big City lets you take control of a cat who is trying to go back home; you can mainly focus on finding your way back, or explore as a true cat would. Climb on people’s furniture, break their glasses, steal their objects, find collectibles, and interact with other animals before going home. Homeworld 3 - May 13 https://www.youtube.com/watch?v=oVCUI70kF7o&embedable=true https://www.youtube.com/watch?v=oVCUI70kF7o&embedable=true Release Date: May 13 Platforms: PC Studio: Blackbird Interactive Release Date: May 13 Release Date: Platforms: PC Platforms: Studio: Blackbird Interactive Studio: Homeworld 3 is a galactic real-time strategy game where you can play solo, PvP, and Coop. It continues the award-winning story of Homeworld 2, with massive battles among the stars and nebulas. Now, the game also includes a coop mode for up to 3 players, in a battle on the molds of roguelike. Team up with your friends in random fleet battles while obtaining artifacts to improve your ships. The Rogue Prince of Persia - May 14 https://www.youtube.com/watch?v=XZzOxEK7hXo&embedable=true https://www.youtube.com/watch?v=XZzOxEK7hXo&embedable=true Release Date: May 14 Platforms: PC Studio: Evil Empire Release Date: May 14 Release Date: Platforms: PC Platforms: Studio: Evil Empire Studio: The Rogue Prince of Persia is a new take on the franchise. This time, in the hands of Evil Empire, the creators of Dead Cells, this new entry will get a different art style from its predecessor and will have a roguelike gameplay, which the team at Evil Empire are professionals doing. The game will also feature a procedurally generated map, set place around the city of Ctesiphon. You will battle the Hun army that was sent to destroy the city, and it is your job to prevent it. Ghost of Tsushima: Directors Cut - May 16 https://www.youtube.com/watch?v=EzWBNwhb870&embedable=true https://www.youtube.com/watch?v=EzWBNwhb870&embedable=true Release Date: May 16 Platforms: PC Studio: Sucker Punch Productions Release Date: May 16 Release Date: Platforms: PC Platforms: Studio: Sucker Punch Productions Studio: The once-Playstation exclusive is making its way to PC this month. This version includes everything from the original version and some extra functionalities due to the power of the PC. Enjoy the Tsushima island with unlocked FPS and multiple graphic customizations, support to super ultra-wide monitors, increase the performance using the functionalities of your GPU, like DLSS, FSR, and XeSS, and enjoy high-quality sync with Japanese, due to real-time cutscene rendering. Senua’s Saga: Hellblade 2 - May 21 https://www.youtube.com/watch?v=3VYGOkMnGCE&embedable=true https://www.youtube.com/watch?v=3VYGOkMnGCE&embedable=true Release Date: May 21 Platforms: PC, Xbox Series X/S Studio: Ninja Theory Release Date: May 21 Release Date: Platforms: PC, Xbox Series X/S Platforms: Studio: Ninja Theory Studio: In the sequel Hellblade: Senua’s Sacrifice, we follow again the story of Senua while she battles for survival on the Viking Island. There, you will fight to save the victims of the tyranny while dealing with her own darkness. System Shock: Remake - May 21 https://www.youtube.com/watch?v=mNDdQ6_pYgk&embedable=true https://www.youtube.com/watch?v=mNDdQ6_pYgk&embedable=true Release Date: May 21 Platforms: PS4, PS5, Xbox One, Xbox Series X/S Studio: Nightdive Studio Release Date: May 21 Release Date: Platforms: PS4, PS5, Xbox One, Xbox Series X/S Platforms: Studio: Nightdive Studio Studio: The complete remake of the 1994 cult System Shock that was released for PC in 2023 is now making its way to consoles. In this game, you live in Cidadela Station, but everything gets out of hand when the most advanced AI takes control of everything, turning its people into cyborgs and mutants looking for blood. Fight for survival and destroy SHODAN before it destroys you. Paper Mario: The Thousand-Year Door - May 23 https://www.youtube.com/watch?v=gCV-uTRULn8&embedable=true https://www.youtube.com/watch?v=gCV-uTRULn8&embedable=true Release Date: May 23 Platforms: Switch Studio: Intelligent Systems Release Date: May 23 Release Date: Platforms: Switch Platforms: Studio: Intelligent Systems Studio: Initially released for the GameCube in 2004, Super Paper Mario The Thousand-Year Door is an RPG praised by critics and won the RPG of the Year award in 2005. In this entry, you will take the role of Mario, while he tries to save Princess Peach from the hands of Grodus, collecting all the Crystal Stars and making new friends along the way. F1 24 - May 31 https://www.youtube.com/watch?v=NnyCWsA6KSI&embedable=true https://www.youtube.com/watch?v=NnyCWsA6KSI&embedable=true Release Date: May 31 Platforms: PC, PS4, PS5, Xbox One and Xbox Series X/S Studio: Codemasters Release Date: May 31 Release Date: Platforms: PC, PS4, PS5, Xbox One and Xbox Series X/S Platforms: Studio: Codemasters Studio: That is the newest entry in the F1 yearly franchise; it includes more refined graphics, a revamped campaign, a new physics system that impacts the performance of your car, crossplay, and a VR mode. Those were the games I’m keeping an eye on this month; let me know what games you are interested in this month or if I missed an important game in the comments below.

May 2024's Must-Play List: The Top 10 Game Releases You Can't Miss

This is paper is available on arxiv under CC 4.0 DEED license.
Authors:
(1) Dhruv Shah, UC Berkeley and he contributed equally;
(2)  Michael Equi, UC Berkeley and he contributed equally;
(3) Blazej Osinski, University of Warsaw;
(4) Fei Xia, Google DeepMind;
(5) Brian Ichter, Google DeepMind;
(6) Sergey Levine, UC Berkeley and Google DeepMind. Table of Links Abstract & Introduction
Related Work
Problem Formulation and Overview
LFG: Scoring Subgoals by Polling LLMs
LLM Heuristics for Goal-Directed Exploration
System Evaluation
Discussion and References
A. Implementation Details
B. Prompts A Implementation Details A.1 Hyperparameters A.2 Computational Resources A.3 Real World Results Generating Prompts: For both topological and geometric maps we use hand engineered methods for clustering objects in ways that the LLM can efficiently reason over. For geometric maps we implement two functions: parseObjects and clusterObjects. In our implementation, parseObejcts filters the geometric map and identifies the cluster centers among each class. clusterObjects takes the cluster centers and performs agglomerative clustering with a threshold of 6 meters, which is roughly the size of one section of a standard house. For topological maps we rely on the configuration of the four cameras to automatically perform parsing and clustering. In our implementation all the objects detected in each frame from either the front, left, right, or rear facing cameras is considered a single cluster. Perception: For the hardware, we use a locobot base with a four HD logitech web cameras that are positioned at 90 degrees relative to each other. At each step of LFG each of four cameras is recorded and frames are semantically annotated. LFG directly uses these frames to determine if the robot should continue to move forward, turn left, turn right, or turn around a full 180 degrees. To improve the performance of our system we choose to whitelist a subset of the 20,000 classes. This reduces the size of the API calls to the language models and helps steer the LLM to focus on more useful information. Following is the complete whitelist used in our experiments: • toaster • projector • chair • kitchen table • sink • kitchen sink • water faucet • faucet • microwave oven • toaster oven • oven • coffee table • coffee maker • coffeepot • dining table • table • bathtub • bath towel • urinal • toilet • toilet tissue • refrigerator • automatic washer • washbasin • dishwasher • television set • sofa • sofa bed • bed • chandelier • ottoman • dresser • curtain • shower curtain • trash can • garbage • cabinet • file cabinet • monitor (computer equipment) • computer monitor • computer keyboard • laptop computer • desk • stool • hand towel • shampoo • soap • drawer • pillow Low-level Policy: The low-level policy running on the robot is the NoMaD goal-conditioned diffusion policy trained to avoid obstacles during exploration and determine which frontiers can be explored further [41]. High-level Planning: For real-world experiments, we follow the setup of ViKiNG [34], where the agent runs a simple frontier-based exploration algorithm and incorporates the LLM scores as goaldirected heuristics to pick the best subgoal frontier. For simulation experiments, we use a geometric map coupled with frontier-based exploration, following the setup of Chaplot et al. [38]. Algorithms 3 and 4 summarize the high-level planning module in both cases. A.4 More Experiment Rollouts Figure 6 shows an example where the negative scoring is essential to LFG’s success. Figures 7 and 8 show examples of LFG deployed in a previously unseen apartment and an office building, successfully exploring the environments to find an oven and a kitchen sink. This is paper is available on arxiv under CC 4.0 DEED license. Authors: (1) Dhruv Shah, UC Berkeley and he contributed equally; (2)  Michael Equi, UC Berkeley and he contributed equally; (3) Blazej Osinski, University of Warsaw; (4) Fei Xia, Google DeepMind; (5) Brian Ichter, Google DeepMind; (6) Sergey Levine, UC Berkeley and Google DeepMind. This is paper is available on arxiv under CC 4.0 DEED license. Authors: Authors: (1) Dhruv Shah, UC Berkeley and he contributed equally; (2)  Michael Equi, UC Berkeley and he contributed equally; (3) Blazej Osinski, University of Warsaw; (4) Fei Xia, Google DeepMind; (5) Brian Ichter, Google DeepMind; (6) Sergey Levine, UC Berkeley and Google DeepMind. Table of Links Abstract & Introduction Related Work Problem Formulation and Overview LFG: Scoring Subgoals by Polling LLMs LLM Heuristics for Goal-Directed Exploration System Evaluation Discussion and References A. Implementation Details B. Prompts Abstract & Introduction Abstract & Introduction Related Work Related Work Problem Formulation and Overview Problem Formulation and Overview LFG: Scoring Subgoals by Polling LLMs LFG: Scoring Subgoals by Polling LLMs LLM Heuristics for Goal-Directed Exploration LLM Heuristics for Goal-Directed Exploration System Evaluation System Evaluation Discussion and References Discussion and References A. Implementation Details A. Implementation Details B. Prompts B. Prompts A Implementation Details A.1 Hyperparameters A.2 Computational Resources A.3 Real World Results Generating Prompts: For both topological and geometric maps we use hand engineered methods for clustering objects in ways that the LLM can efficiently reason over. For geometric maps we implement two functions: parseObjects and clusterObjects. In our implementation, parseObejcts filters the geometric map and identifies the cluster centers among each class. clusterObjects takes the cluster centers and performs agglomerative clustering with a threshold of 6 meters, which is roughly the size of one section of a standard house. For topological maps we rely on the configuration of the four cameras to automatically perform parsing and clustering. In our implementation all the objects detected in each frame from either the front, left, right, or rear facing cameras is considered a single cluster. Generating Prompts: Perception: For the hardware, we use a locobot base with a four HD logitech web cameras that are positioned at 90 degrees relative to each other. At each step of LFG each of four cameras is recorded and frames are semantically annotated. LFG directly uses these frames to determine if the robot should continue to move forward, turn left, turn right, or turn around a full 180 degrees. To improve the performance of our system we choose to whitelist a subset of the 20,000 classes. This reduces the size of the API calls to the language models and helps steer the LLM to focus on more useful information. Following is the complete whitelist used in our experiments: Perception: • toaster • projector • chair • kitchen table • sink • kitchen sink • water faucet • faucet • microwave oven • toaster oven • oven • coffee table • coffee maker • coffeepot • dining table • table • bathtub • bath towel • urinal • toilet • toilet tissue • refrigerator • automatic washer • washbasin • dishwasher • television set • sofa • sofa bed • bed • chandelier • ottoman • dresser • curtain • shower curtain • trash can • garbage • cabinet • file cabinet • monitor (computer equipment) • computer monitor • computer keyboard • laptop computer • desk • stool • hand towel • shampoo • soap • drawer • pillow Low-level Policy: The low-level policy running on the robot is the NoMaD goal-conditioned diffusion policy trained to avoid obstacles during exploration and determine which frontiers can be explored further [41]. Low-level Policy: High-level Planning: For real-world experiments, we follow the setup of ViKiNG [34], where the agent runs a simple frontier-based exploration algorithm and incorporates the LLM scores as goaldirected heuristics to pick the best subgoal frontier. For simulation experiments, we use a geometric map coupled with frontier-based exploration, following the setup of Chaplot et al. [38]. Algorithms 3 and 4 summarize the high-level planning module in both cases. High-level Planning: A.4 More Experiment Rollouts Figure 6 shows an example where the negative scoring is essential to LFG’s success. Figures 7 and 8 show examples of LFG deployed in a previously unseen apartment and an office building, successfully exploring the environments to find an oven and a kitchen sink.

Navigation with Large Language Models: Implementation Details

Navigation with Large Language Models: Discussion and References

The Genies Tool Kit: Everything You Need to Know

জিনিস টুল কিট: আপনার যা জানা দরকার

Das Genies-Toolkit: Alles, was Sie wissen müssen

El kit de herramientas Genies: todo lo que necesitas saber

La trousse à outils Genies : tout ce que vous devez savoir

जिनी टूल किट: वह सब कुछ जो आपको जानना चाहिए

Genies ツールキット: 知っておくべきことすべて

Genies 도구 키트: 알아야 할 모든 것

O kit de ferramentas Genies: tudo o que você precisa saber

Набор инструментов Genies: все, что вам нужно знать

Genies Araç Seti: Bilmeniz Gereken Her Şey

Bộ công cụ Genies: Mọi thứ bạn cần biết

精灵工具包：你需要知道的一切

ChatGPT 4 is required. In a Hurry?: See it in action, shared ChatGPT session: https://chat.openai.com/share/ab0ce967-68ec-4757-8b49-cd89a22c197a Introduction Discover how to swiftly incorporate a visually appealing "rating system" into your ChatGPT conversations. Use cases include: Add your own visually appealing rating system to any ChatGPT content. Using ChatGPT AI analysis to rate something you've written. Screenshot on iPhone ⏱️ Your 30 Second Guide Steps: Copy all the text below and paste it into any ChatGPT or ChatGPT Builder chat session: 1: AI Instructions for Rating System:

1. Convert text like [Rating: X/Y] to ★★★½ (X/Y).
2. Keep other text as is, including any Markdown tags.
3. Display without elaboration. Now, you can use prompts such as: 2: a) Please rate my essay (without making any changes to it) out of 5 using Rating System
b) Then, make improvements to it, and rate it again.

### History of Canada

Canada's history stretches back thousands of yeers, with Indigenous pepoles inhabiting the land long before European contat. First Nations, Inuit, and Métis populations developed rich cultures, languages and traditions intrinisically tied to there land. European explorers, begining with the Vikings around 1000 AD, and later French and British colonizers, dramatically altered the landskap. The fur trade feeled early economic activity, while competition between France and Britan lead to conflicts like the Seven Years' War, ultimately resulting in British dominance by the late 1700s You can also instruct ChatGPT by typing things like: Do that again, but use 🍅 as the rating system.

Do that again but use ⭐ and rate it out of 10.

I think the move "School of Rock" deserves a rating of [Rating: 4/5] Examples Rating can be out of anything you want, and display any symbol or Emoji that you want ★★★½ (3.5/5) 🍎🍎🍎½ (3.5/5) ⭐⭐⭐⭐ (4/4) Note: Since we are asking ChatGPT to do something it says it can't do, this technique may not be perfectly reliable within the existing chat interface. I have written OpenAI developers to ask that this feature using AImarkdown Script be added (with a more direct method). Making a Custom Version Say you want to use the tomato Emoji as your default 🍎 and always rate it out 100% rather than a scale. Just change the AI instructions to:
then AI Instructions for Rating System:

1. Convert text like [Rating: X%] to 🍎 X%.
2. Keep other text as is, including any Markdown tags.
3. Display without elaboration. Here is an example of the 🍎 X% style rating: https://chat.openai.com/share/a1f522e0-a6b6-4cb3-85fc-2690bcbab3e8 Use Basic Formatting (Markdown) In the custom version above, you will notice that you can apply some basic formatting in ChatGPT. This uses the . Markdown Language If you want to try out playing with - click here: Markdown Language https://markdownlivepreview.com/ Markdown Tip: If you want the raw Markdown version (just the plain text) of the ChatGPT response, just type: Can you give me that as Markdown, in a Markdown code window. Then, ChatGPT will give you the raw Markdown version you can work with. Sample Emojis You Could Use With the "Rating System." Food 🍎🍎🍎½ (3.5/5) _ (Apples, whole and half)_ 🍓🍓🍓½ (3.5/5) (Strawberries) 🍕🍕🍕½ (3.5/5) _ (Pizza slices)_ 🌮🌮🌮½ (3.5/5) _ (Tacos)_ 🍰🍰🍰½ (3.5/5) _ (Cake slices)_ Nature 🌻🌻🌻½ (3.5/5) (Sunflowers) 🌲🌲🌲½ (3.5/5) _ (Trees)_ 🦋🦋🦋½ (3.5/5) _ (Butterflies)_ 🐞🐞🐞½ (3.5/5) _ (Ladybugs)_ Celestial 🌕🌕🌕½ (3.5/5) _ (Moon phases)_ ☀️☀️☀️½ (3.5/5) _ (Sun and cloud)_ Miscellaneous 💎💎💎½ (3.5/5) _ (Diamonds)_ 💡💡💡½ (3.5/5) (Lightbulbs - representing ideas) 👍👍👍½ (3.5/5) _ (Thumbs up/down)_ 🏅🏅🏅½ (3.5/5) (Medals) 🚩🚩🚩½ (3.5/5) _ (Flags)_ What Is This Technique of Using Snippets Called? The AI Instruction snippets are part of the larger AImarkdown Script Language. For more info visit: https://aimarkdown.org For simple tasks like a "Rating System", short snippets are the better solution to controlling ChatGPT than more complex AImarkdown Script. Conclusion This simple technique adds a valuable layer of interactivity to ChatGPT conversations. Whether you're soliciting feedback on your writing, rating products or services, or just adding a touch of fun to your chats, the rating system provides a visually engaging way to interact. As ChatGPT and AImarkdown Script continue to evolve, we can expect even more creative and powerful ways to customize our interactions with AI. Appendix: Taking it Further AImarkdown is a simple scripting language that enhances ChatGPT's abilities. We'll use a tiny bit of it to unlock the image display. It is meant for programmers and non-programmers alike. Explore more AImarkdown Script Articles: Anyone Can Add Beautiful Interactive Images in ChatGPT 4 (in 30 Seconds): Here's How Finally! You Can Colorize ChatGPT Output With AImarkdown Script: Here's How Unlock Event-Driven ChatGPT Apps With AImarkdown Script: The Power of Triggers Enhancing Python Execution in ChatGPT with AImarkdown Script AIMarkdown Script: A Scripting Language to Unlock ChatGPT's Potential ChatGPT's Missing Feature That You Should Know About: Code Highlighter Responder Using Python in ChatGPT with AImarkdown Script - Part One ResponseDial For ChatGPT: Optimize Your Workflow and Take Control of Your GPT Responses Making a ChatGPT Blackjack Game that Coaches You with AImarkdown Script How to Instantly Add "Date Stamps" In ChatGPT Conversations Also published here

Stories, News & Mentions about VIKI

Viki’s Stories on HackerNoon

Viki's News & Mentions