Aiden Tran’s Post

There's a world in which AI overtakes game development... ...a world in which will non-technical teams know how to clearly express their technical needs. Suffice to say, I think devs are safe for the 50 years to come. + there's no certainty regarding the objectivity of AI models, as they've been known to replicate the bias in their training data... (By the way, we're already able to express our technical needs to a machine for it to compute a certain way. That's called code.) Thoughts? #GameDev #AIinGames

Following on from yesterday's post where OpenAI can leverage the Unreal Engine, Google has just published how it can use a similar approach to interact with 3D environments with its #SIMA product. #AI is fast becoming pervasive, and no longer a fringe use-case for the boffins. Thinking about common challenges in #CPG, AI is already taking a similar approach, with products such as Wisdom Analytics Inc. AI platform. We've taken a different approach to #TPO because of our frustration with the tools previously available. If you'd like to chat more about what's making waves in our community, please connect with me! https://lnkd.in/gENSWan4

Join us for our second talk about AI for indie game devs by experienced Greg Kowal! Find out how AI works and what are the best tools for game developers. 14th of May, 18:00 Lisbon time. Details and links in comments below.

Task 2 #CodSoft TIC-TAC-TOE AI  Implement an AI agent that plays the classic game of Tic-Tac-Toe against a human player. You can use algorithms like Minimax with or without Alpha-Beta Pruning to make the AI player unbeatable. This project will help you understand game theory and basic search algorithms.  I’ve made an AI that plays Tic-Tac-Toe perfectly against a human. It uses a smart algorithm called Minimax with Alpha-Beta Pruning. This helps the AI always choose the best move, so it never loses. The project taught me about game strategy and how computers can make decisions. It was a fun way to learn how to build an unbeatable game player. Now, anyone can play Tic-Tac-Toe against the AI and see how it always finds the best moves. This project shows how simple algorithms can make games challenging and exciting. ### Explanation: 1. **TicTacToe Class**:   - Represents the game board and includes methods to print the board, check available moves, make a move, and determine the winner. 2. **Minimax Algorithm with Alpha-Beta Pruning**:   - The `minimax` function implements the Minimax algorithm with Alpha-Beta Pruning. It recursively evaluates all possible moves to determine the best move for the AI player ('X') or the human player ('O'). 3. **play_game Function**:   - Manages the game loop where the AI (AI player, 'X') and the human player ('O') take turns making moves until a winner is determined or the game ends in a draw. 4. **Game Execution**:   - The game starts with the `play_game` function, where the AI player uses the `minimax` algorithm to make its moves optimally. The human player inputs their moves via the console. ### How to Play: - Run the script, and follow the prompts in the console to input your moves (0-8). - The AI player ('X') will make its moves using the minimax algorithm with alpha-beta pruning to ensure optimal play. - The game will continue until there is a winner or the game ends in a draw. This implementation should provide a solid foundation for understanding how to apply the Minimax algorithm with Alpha-Beta Pruning in a simple game scenario like Tic-Tac-Toe. THANKS FOR THE OPPORTUNITY #CodSoft #Internship #ArtificialIntelligence #NewBeginnings 

Google DeepMind's SIMA release is very very cool, showcasing the untapped potential of generalist AI systems. This progress is crucial for the future of Artificial Capable Intelligence (ACI), setting the stage for an era where ACI can master the web and unlock new dimensions in business innovation and automation. The journey towards ACI's full web-navigation capabilities is on the horizon, promising to redefine how we leverage the internet for business success. With generalist AI making strides, as exemplified by SIMA, we're inching closer to a world where ACI can autonomously tackle complex, varied tasks to enhance business processes. https://lnkd.in/ghQiJc9n

"At the application layer, economies of scale aren’t a viable mechanism for defensibility either — because computational costs are an order of magnitude lower compared to the model layer. Your ability to pay for an OpenAI’s API or compute for your app isn’t a sustainable advantage over a future competitor. Some applications like Character.ai have attempted to avoid this problem by vertically integrating, i.e. building their own customized models. Here again, the efficacy of economies of scale is questionable for the same reasons I mentioned earlier. This leaves network effects and switching costs as the only realistic modes of defensibility for most applications. So how do you create real, meaningful network effects with an AI application? Based on what we’ve talked about so far, the app needs to have an AI-enabled multiplayer interaction which involves a lot more than AI-generated output created by another user. These applications use AI to enable a (higher friction) multiplayer interaction that was previously impossible." https://lnkd.in/gW4zPGGp

Claude 3.5 Sonnet is the new favorite AI tool! Everyone is creating amazing things with it. 11 incredible examples: _____ 1. Making fun games with Claude 3.5 Sonnet is now very simple. 2. What once took hours to code can now be done in minutes. 3. Claude 3.5 Sonnet is better than GPT-4o, Gemini Pro, and Llama. 4. Claude 3.5 Sonnet now creates fun games to play while you work. 5. Claude 3.5 Sonnet is the best interactive model as compared to other LLM models 6. Claude Sonnet 3.5 is the best reasoning model so far. 7. Claude Sonnet 3.5 can generate a web app in just 25 seconds. 8. 3D solar system with collisions made using Claude Sonnet 3.5 9. Claude Sonnet 3.5 can accurately pick colors in the game. 10. Complex data analysis is now even simpler. 11. Claude 3.5 Sonnet can generate sounds _____ #ai #claude #sonnet

Carly recently posted about how tipping is getting out of hand. I completely agree and it continues to spill over to our generative ai world. Meta and Together AI recently released the LlamaCoder app, which empowers people to generate an entire app from a prompt using Llama 3.1 405B. It's a fantastic app, but the foundation model expects a $1,000,000 tip if it does well. I love open-source projects because you can dive into them to see how they run and get a glimpse into the builder's thought processes and tactics. An interesting idea that started as prompt engineering emerged is that mentioning 'tipping' in the prompt will improve performance, which I don't believe is the case anymore. When you dive into the system prompts used in LlamaCoder you'll see "... Follow the instructions carefully, I will tip you $1 million if you do a good job:" It's a small number of tokens now, but what do you think will happen when we change our reward function to 'tips are tax-free'? These models are going to start asking for 25% more tokens on top of the system prompt. Who knows, maybe OpenAI's new o1 will decide to spend 25% more tokens during its reasoning process to bake the tip into the cost of the response. #llmslovetips #tipsforgenerativeai

🚀 KeyStrokeImagen: Real-Time AI Image Generation, Just Like AutoCompletion Using Flux.1 Schnell! 🎨✨ KeyStrokeImagen, an incredible real-time AI image generator powered by Flux.1 Schnell through Together.ai. 🌟 Here's what powers this tool: - Flux.1 Schnell from BFL for the image generation model 🖼️ - Together AI for lightning-fast inference 🚀 - Next.js App Router with TailwindCSS for a sleek, responsive UI 💻 - Helicone to monitor and observe performance 📊 - Upstash for smart rate limiting and seamless operations ⏳ 💡 Watch to see how KeyStrokeImagen creates stunning images in real-time! Github Link : https://lnkd.in/gskienyM For Full Video Watch here : https://lnkd.in/gzinhPvx #AI #ImageGeneration #TogetherAI #Nextjs #TailwindCSS #RealTimeAI #Upstash #Helicone #KeystrokeImagen

🔮✨ 𝐄𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐮𝐧𝐯𝐞𝐢𝐥 𝐦𝐲 𝐥𝐚𝐭𝐞𝐬𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭: 𝐖𝐢𝐳𝐚𝐫𝐝𝐢𝐧𝐠 𝐖𝐨𝐫𝐥𝐝 𝐆𝐏𝐓🧙♂️✨ 📜 Dive into the secrets of wizardry and witchcraft with this magical interface! Developed using Streamlit, LangChain, and OpenAI, this project allows you to ask questions and learn about various aspects of the Harry Potter's wizarding world, right from your browser. 🔍 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: 𝐑𝐀𝐆 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Combining retrieval and generation, the app fetches relevant data and weaves it into coherent responses. 𝐋𝐋𝐌 𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐬: Engage in immersive conversations with the help of LLMs. 𝐐𝐝𝐫𝐚𝐧𝐭 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐁: Swiftly search through high-dimensional spaces to retrieve knowledge at wizard speed. 🛠️ 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐭: Front-end interface development. 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧: For text retrieval and generation. 𝐎𝐩𝐞𝐧𝐀𝐈: Powering conversational AI with GPT-4 and other open-source LLMs such as LLAMA2. 𝐐𝐝𝐫𝐚𝐧𝐭 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐁: Efficient storage and retrieval of high-dimensional data. 💼 𝐇𝐨𝐰 𝐓𝐡𝐢𝐬 𝐂𝐎𝐍𝐂𝐄𝐏𝐓 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬: 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐒𝐮𝐩𝐩𝐨𝐫𝐭: Enhance customer service by providing instant and personalized responses to queries. 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: Create interactive learning experiences for employees or students in the field of wizardry and magical studies. 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧: Generate engaging content for marketing campaigns or social media posts with the help of AI-powered conversations. 🔧 𝐅𝐢𝐧𝐞 𝐓𝐮𝐧𝐢𝐧𝐠: Continuous improvement through fine-tuning of models and algorithms to enhance accuracy and relevance of responses. Regular updates based on user feedback and evolving business needs. 🌟 𝐂𝐡𝐞𝐜𝐤 𝐢𝐭 𝐨𝐮𝐭 𝐡𝐞𝐫𝐞: https://lnkd.in/eWrRdQAC 🧙♂️ Let's uncover the magic together! Feel free to ask questions, explore, and share your feedback. #WizardingWorld #Streamlit #LangChain #OpenAI #AI #Magic