Close

Explore AI

Explore GPTs

Explore AI News

Explore AI Videos

Explore AI for Jobs

Results for “Fir Crawl”

Follow
Sort by: Relevance Date
... 1:5:29
I faced 3 expert AI and 3 Streamers in this NEW Medieval RTS

trmplays

1+ months ago 4K views

The video showcases a gameplay challenge in a medieval RTS game where the speaker competes against three AI teams on hard difficulty, focusing on archer civilizations. It details the strategies used, including building economy and military structures, and emphasizes the unique features of the civilization being played. The second part involves a tournament against several content creators, further highlighting gameplay mechanics and strategies. Insights into unit advantages and tactical decisions are discussed throughout, culminating in reflections on performance and future improvements in the game.
01:05 - 01:12

Unique techs for defense and troop production highlighted.

Gaming
... 44:36
Can AI Beat Lumber Tycoon 2?

Aptyn

1+ months ago 3K views

Starting with nothing, the journey to acquire the Rook Reax in Lumber Tycoon 2 involved following advice from AI, testing its effectiveness, and overcoming various challenges. Initially, the AI provided inaccurate recommendations leading to inefficient methods, particularly in wood collection strategies. As the process continued, adaptations were made based on learned experiences, leading to more efficient gameplay. Ultimately, the player successfully navigated through the complexities of the game, culminating in the acquisition of the coveted Rook Reax by implementing both AI guidance and personal strategy adjustments throughout the gaming experience.
02:22 - 02:26

AI insists on misleading upgrades impacting efficiency in gameplay.

OpenAI Chatbots Gaming
... 23:36
Scrabble GM vs. AI -- the Rematch! Game #83

Mack Meller

1+ months ago 1K views

In this Scrabble rematch against the AI bot, the player discusses strategic plays while facing a challenging board. Starting with a weak rack composed of two A's and two U's, the player opts for Halon, considering point value versus defensive positioning. As the game unfolds, the player grapples with difficult choices, ultimately leveraging tactical plays to maintain a lead. Evaluating risks and exploring various options, decisions made around tile placement drive the gameplay's dynamics. The match concludes with the player achieving victory, highlighting the importance of adapting strategies in competitive settings.
04:28 - 06:10

Strategies for blocking opponent's potential plays explored throughout complex decisions.

Machine Learning Gaming
... 12:10
Scrape ANYTHING using this AI Agent, here's how

Tyler AI

1+ months ago 8K views

Crawl for AI, an open-source LLM-friendly web crawler, offers rapid data scraping capabilities, completing 73 URL scrapes in under 30 seconds. The tutorial showcases step-by-step instructions for building an AI agent to run multiple crawls simultaneously using Python. By employing asynchronous processing and parallel crawling techniques, the process significantly optimizes web scraping time. The presenter emphasizes the practicality of this tool in implementing AI-driven projects and encourages viewers to explore advanced configuration options and the integration of scraped content into AI systems for tasks like summarization and long-term memory.
01:30 - 01:46

Features of asynchronous processing allow for improved efficiency in crawling.

Machine Learning Education
... 24:9
Scrabble GM vs. AI -- the Rematch! Game #82

Mack Meller

1+ months ago 1K views

The video discusses the 82nd game of a series against an AI-powered Scrabble bot, reflecting on previous games. Players encounter strategic choices based on their tile draws and prioritize defensive plays to maintain a competitive edge. Key decisions involve selecting plays that optimize scoring while minimizing opportunities for the bot. A significant moment was analyzing potential plays and their defensive implications, with attention to keeping powerful letters like the blank and high-value tiles such as the H. Ultimately, the game concludes with a victory, marking a crucial turn in the player's ongoing series against the AI.
Machine Learning Gaming
... 8:9
SCAV AI & Game Breaks More After Big AI Overhaul

VeryBadSCAV

1+ months ago 12K views

The latest game update introduces a big white furry cat and various AI-related issues during gameplay, including AI pathing problems and unexpected AI behavior. Players have noted that AI scabs can become trapped inside objects like cardboard boxes and exhibit odd movement patterns. There's frustration around the perceived reduction in fun elements of the game, as well as ongoing challenges with AI aiming and navigation, leading to a less engaging experience. Observations about players encountering issues with AI that remained unfixed post-update are shared, alongside commentary on the peculiarities of the current game environment.
Machine Learning Gaming
... 28:57
FROGGER + ROCKET LAUNCHER - AI generated game using Cursor, Grok, Claude 3.7 Sonnet

Micah

1+ months ago 3K views

The video details the development of a Frogger game clone, showcasing the implementation of a rocket launcher and adjustments to game dynamics. The speaker navigates through AI tools, iteratively enhancing game features using Claude and other AI models for code generation and graphical improvements, while addressing the need for robust obstacle interactions and creating levels with increasing difficulty. The focus shifts to refining visuals, including high-detail SVG graphics for vehicles, and ensuring obstacles block player movement. Updates on the game's progress are shared, promising enhanced player experience through AI-assisted development.
03:06 - 03:27

Exploration of enhancing SVG graphics for better game visuals.

Machine Learning Gaming
... 14:15
AI Learns to not Die...

ZuzeloApps

1+ months ago 2K views

Greg, an AI agent, navigates a 10x10 room, learning to survive and escape falling cubes within 60 seconds. He must collect golden blocks to lower walls for freedom, facing increasing challenges through five levels of difficulty. The AI struggles initially but learns lessons through trial and error, proving effective in subsequent rounds by adapting its strategies. Despite setbacks and humorous fails, Greg ultimately manages to complete all challenges and escape, with references to educational tools that enhance critical thinking and problem solving in AI.
13:20 - 13:32

Successful adaptation leads Greg to escape, demonstrating key AI learning principles.

Brilliant Machine Learning Education
... 13:20
GROK 3: The SMARTEST AI On Earth?

Julian Goldie SEO

1+ months ago 13K views

Testing the capabilities of Grock 3, which is claimed to be the smartest AI on Earth, involves creating Flappy Bird clones, cloning websites, and generating SEO-optimized content. The AI demonstrates superior coding abilities compared to competitors and can create content that bypasses AI detection tools. Users can easily build websites and gaming applications with minimal coding experience. Grock 3 also offers efficient web searching and image generation, outperforming other AI models in realism. Its affordable subscription model enhances accessibility for users, making it a powerful tool for developers and marketers alike.
04:28 - 04:42

Generated content is humanized, optimized for SEO, and passes AI detection tools.

Machine Learning AI Startups