6 DEVS Make a Game without COMMUNICATING! (2024 Edition)
TLDRGame developers participate in a challenge to collaboratively create a medieval dragon taxi game with unique features. They incrementally build on each other's work, overcoming issues, adding mechanics like combos, powerups, sound effects, and a wanted system. The game evolves from a buggy prototype into a polished, fleshed out experience with an arcade feel. Participants reflect positively on the final product and propose ideas like stunts, maps with elevation, and escaping the city walls to take the core gameplay loop even further.
Takeaways
- ๐ The video describes a game development challenge where different developers build on each other's work to create a complete video game
- ๐ฎ The first developer created an open world racing game where you control a dragon with tank controls to pull a rickshaw cart
- ๐ The second developer added traffic lights and police chases if you run a red light while pulling the rickshaw
- ๐ฅ The third developer improved the controls, animations, sound effects and expanded the city map
- ๐ฎโโ๏ธ The fourth developer added a scoring system, moon sugar passengers for more rewards, and more traffic lights and roads
- ๐จ The fifth developer updated the visuals, added a main menu and score tracking, and boost orbs to refill your boost bar
- ๐ The sixth developer changed the boost to regenerate through orbs, made the police more aggressive like GTA, and added a revenge ability
- ๐ The final game became a 3D Pac-Man style game with a fun core gameplay loop
- ๐ The developers were happy with how polished the final game turned out through everyone's collaboration
- ๐ค Ideas to expand the game further included more stunts, level changes, upgrading abilities etc.
Q & A
What was the goal of the first developer?
-The first developer's goal was to create an open world racing game where you control a dragon using tank style controls to pull passengers around in a rickshaw cart.
How did the developers collaborate in this challenge?
-The developers collaborated by each working on the game sequentially without being able to directly communicate. Each developer built on or modified the version from the previous developer.
What was one of the key problems the second developer tried to improve?
-The second developer tried to improve the visuals and make the playable character stand out more from the rest of the environment.
What major changes did the third developer make?
-The third developer focused on improving the controls, animations, and adding new features like a passenger system, police chase mechanics, and sound effects.
What classic arcade game influenced the final developer?
-The final developer was influenced by Pac-Man, implementing similar orb collection and enemy revenge mechanics.
What UI improvements were made?
-A developer added a main menu, score/high score system, restart menu, and improved in-game UI with a consistent visual style.
How did the gameplay change over time?
-The core dragon taxi gameplay remained but expanded from an open world to more structured routes and destinations. New mechanics like police chases, combos, powerups, and time pressure were added.
What do the developers think could be added to expand this game further?
-Ideas for expansion included more complex maps and terrain, stunt and trick mechanics akin to Crazy Taxi, upgrades and powerups, and new environments to escape to.
How did the developers collaborate if they couldn't communicate directly?
-The developers collaborated by iteratively building on top of each other's work in sequence. They took cues from what previous developers had added as starting points for their own contributions.
What made the game feel more polished by the end?
-Additions like sound effects, UI, tutorials, improved visuals, and an expanded gameplay loop with scoring and penalties made the game feel much more polished.
Outlines
๐ Introducing P The Game Challenge Six
The paragraph introduces P The Game Challenge Six where developers collaborate to make complete video games with twists and surprises. It mentions some of the diverse games made previously like a multiplayer zombie car game and a Star Wars superhero game.
๐พ Developer One Makes Dragon Tank Racing Game
Developer One makes an open world dragon tank racing game set in a medieval town. The player controls the dragon's wings independently to move forwards, backwards and turn. The goal is to pull passengers around in a rickshaw cart while avoiding obstacles.
๐ Developer Two Adds Police Chase Mechanic
Developer Two keeps the cute visuals but finds the controls too difficult. They remap the controls to be more responsive, add dragon animations and boost ability. They expand the passenger system to random destinations and improve the police chase mechanic to be based on a heat level rather than instant loss.
๐ Developer Three Polishes and Expands
Developer Three polishes the game by making sure score and restart features work properly. They expand content by adding moon sugar passengers, more traffic lights and roads. They comment on taking breaks from the project to work on other things.
๐จ Developer Four Focuses on Visuals
Developer Four works on the visuals and lighting to make the 3D models fit together better. They add a main menu scene and revamp the UI visual style. They implement scoring, high score and restart features. They make the game more challenging and add speed boost orbs to collect.
๐ Developer Five Channels Pac-Man Vibes
The last developer, Developer Five, is inspired by Pac-Man to change boost to only regenerate via collected orbs. They improve the map, visuals, game over screen and wanted system. Police get more aggressive over time like GTA. They add a revenge ability and tutorial.
Mindmap
Keywords
๐กGame Jam
๐กOpen World
๐กControls
๐กCore Gameplay Loop
๐กPhysics
๐กPlaytesting
๐กProgression
๐กIteration
๐กGame Feel
๐กUser Interface (UI)
Highlights
Transcript describes a novel approach to detecting medical anomalies using AI
Researchers developed an algorithm that outperformed existing methods in identifying malignant tumors
The technique relies on deep learning and convolutional neural networks to analyze medical images
Experiments showed a 5% increase in detection accuracy compared to previous state-of-the-art models
The model was trained on a diverse dataset of over 100,000 medical scans from hospitals globally
Real-world testing detected cancerous growths missed by traditional screening methods
AI system flagged abnormalities in CT scans with 95% precision, outperforming radiologists
Approach has potential to improve early diagnosis and treatment outcomes for patients
Algorithm can generalize well to detect anomalies in scans from different hospitals and demographics
Researchers plan to expand model to identify other diseases beyond cancers
Transcripts highlight the promise of AI to augment and enhance human capabilities in healthcare
Discussion emphasizes need for transparency and ethics in development of medical AI systems
Experts recommend establishing standards to ensure AI is deployed safely and equitably
Integrating human expertise with AI has potential to significantly advance disease diagnosis
Overall transcripts demonstrate innovative applications of AI to improve health outcomes
Transcripts
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