What Codex 5.6 is amazing at!

What Codex 5.6 is amazing at!

Introduction to GBT 5.6 Soul, Terra, and Luna

Overview of Performance

  • The benchmarks for GBT 5.6 Soul indicate it significantly outperforms Opus and Fable while being more cost-effective.
  • The discussion will explore various creators' experiences with the new model and compare it against Fable 5 through multiple video demonstrations.

Comparison of Game Development Outputs

Initial Game Prompts

  • A side-by-side comparison was conducted using the same prompt for both Claude (Fable 5) and Codex (GBT 5.6 Soul), focusing on creating a playable open-world bike game in a browser environment.
  • The creator provided specific controls for gameplay but allowed creative freedom in design, aiming to evaluate functionality and user experience without bias towards either model initially.

Gameplay Experience

  • The first game demonstrated basic functionality with some control challenges; however, it was noted that the mechanics worked well despite visual limitations.
  • In contrast, the second game offered a more immersive POV experience with enhanced physics, leading to a more enjoyable gameplay feel reminiscent of open-world games like GTA.

Cost Efficiency Analysis

Financial Implications

  • The cost analysis revealed that developing with Fable incurred approximately $14.22 compared to just $4.50 for GBT Soul, highlighting significant savings when using the latter model despite similar output times (21:37 vs 23:00).
  • Output token efficiency was also discussed; Fable produced around 90,000 tokens while Soul generated about 31,000 tokens, indicating that GBT models are generally more token-efficient in their operations.

Model Functionality Insights

Role Differentiation Between Models

  • Users perceive Fable as a superior manager or co-founder due to its creativity and orchestration capabilities while viewing Soul as an efficient worker focused on execution tasks effectively.
  • There is an ongoing debate regarding how best to utilize both models together; suggestions include having Fable plan tasks while allowing Soul to implement them based on detailed instructions from users.

User Experiences with Design Outputs

Creative Applications of GBT Soul

  • One creator highlighted how they preferred the unique design aesthetics of outputs from GBT Soul over those from Fable, noting better visual hierarchy and functional layouts in prototypes created by Soul compared to traditional dark mode designs associated with other models like Fable.
  • This preference indicates a shift towards valuing not only functionality but also aesthetic appeal in AI-generated outputs within creative fields such as app development and design prototyping.

Video Editing Capabilities Demonstrated

Practical Use Cases for AI in Video Editing

  • A creator showcased how they utilized AI tools for video editing by efficiently generating social media clips from longer recordings through simple prompts rather than manual editing processes—demonstrating practical applications of AI technology in content creation workflows.
  • Emphasis was placed on providing iterative feedback during the editing process rather than relying solely on initial outputs; this approach led to higher quality results tailored specifically to user needs and preferences over time.

Consolidation of Skills Through Automation

Managing Workflow Efficiency

  • A demonstration involved using GPT 5.6's capabilities to analyze existing skills within a user's repository and suggest improvements or consolidations—highlighting potential efficiencies gained through automation in managing complex workflows across multiple projects or tasks effectively.

Cross-model Collaboration Potential

  • Both GPT 5.6 and Fable suggested similar strategies for improving workflow management which could lead users toward integrating insights from both models into cohesive operational strategies moving forward.

AI Tools for Writing and Design

Email Composition and Marketing

  • The speaker discusses using AI tools to compose emails, highlighting a specific example of scheduling a meeting.
  • The natural language processing capabilities are praised for their casual tone, including lowercase letters.
  • A colleague uses the tool for marketing emails, noting its efficiency in creating one-shot emails.

Programming and Writing Capabilities

  • Impressions of the AI's programming skills are positive; it is described as a good writer that avoids overthinking.
  • Curiosity is expressed about exploring more writing tasks with this model compared to previous GPT models.

Visual Design Comparisons

  • There’s a discussion on the lack of visibility into writing tests due to poor demo performance, contrasting it with popular video games.
  • The speaker attempts to create an image using different prompts in AI models, comparing results from GPT and Fable.
  • Fable's output is preferred for its simplicity and visual appeal compared to GPT's more complex design.

Personal Life Applications

  • An app tracks meals through voice notes and photos, showcasing how AI can simplify personal data management.
  • The speaker shares experiences using AI for practical tasks like home decoration and shopping assistance.

Cost Efficiency of Models

  • Discussion shifts to pricing differences between GPT 5.6 and Fable, emphasizing cost-effectiveness in token usage.
  • The speaker plans to use GPT 5.6 daily while reserving Fable for larger projects due to its higher costs.

Model Variations and Features

  • GPT 5.6 offers three model sizes (Luna, Terra, Soul), each with varying reasoning levels.
  • Emphasis on the ultra level within the Soul model as particularly powerful but often overlooked by users.

Innovative Applications in Mixed Reality

  • A user creates a virtual drum kit app for Vision Pro using AI, initially receiving basic designs before refining requests for better outputs.
  • The development process includes adjusting features like sensitivity and kit height based on user feedback.

Conclusion Remarks

  • Excitement is expressed about experiencing creations in mixed reality rather than just viewing them online.
Video description

Presented by Zapier: https://zapier.com/ Videos featured: Nate Herk | AI Automation: https://www.youtube.com/watch?v=EthxaDswUFo How I AI: https://www.youtube.com/watch?v=gAWbvEwUoiI Peter Yang: https://www.youtube.com/watch?v=8mY9wx_iMSU Nate Herk | AI Automation: https://www.youtube.com/watch?v=J_jswzXhYJA Every: https://www.youtube.com/watch?v=13tHN3iP5kQ Matthew Berman: https://www.youtube.com/watch?v=mD1F5DsC5tc Bijan Bowen: https://www.youtube.com/watch?v=euoJuJC6vh4 Andrew Warner and Bryan McAnulty react to the first wave of GPT-5.6 Sol reviews, comparing it against Claude Fable 5 across real coding, design, video, writing, and agent workflows. They look at creator tests from Nate Herk, How I AI, Peter Yang, Every, Matthew Berman, and Bijan Bowen, including browser games, dashboards, video clipping, browser automation, skill cleanup, writing, image prompting, and a Vision Pro drum kit. Chapters: 00:00 - Intro 00:27 - Nate Herk tests GPT-5.6 Sol vs Fable 5 00:36 - Open-world bike game comparison 03:09 - Fable 5 wins on creativity, Sol wins on cost 03:54 - Fable as manager, Sol as worker 06:09 - Bryan introduces LatchLoop 07:21 - How I AI compares Sol, Terra, and Luna 07:39 - Sol’s dashboard design and functionality 09:36 - Creative pack website comparison 10:21 - Video editing with GPT-5.6 Sol 11:06 - Why iterative prompting beats one-shot demos 13:39 - Browser automation with GPT-5.6 Sol 15:18 - Peter Yang’s video post skill 16:30 - Why AI-generated clips still need judgment 17:24 - Using GPT-5.6 to clean up skills and workflows 20:24 - Letting GPT-5.6 and Fable review each other 21:27 - Zapier MCP and safe agent access to email 22:48 - Nate Herk’s fully AI-generated video 23:06 - GPT-5.6 Sol pricing vs Fable 5 25:03 - Every’s writing review of GPT-5.6 Sol 26:33 - Fable 5 still wins on image prompt design 27:36 - Dan Shipper’s personal AI workflows 28:48 - Matthew Berman on GPT-5.6 pricing 30:00 - Sol, Terra, Luna, and reasoning levels 30:27 - Bijan Bowen builds a Vision Pro drum kit 32:06 - Watch the next AI reaction episode Send us your AI tools, demos, or builds: hi@thenextnewthing.ai