🤖 Inkling-Small - Multimodal Model for Coding and Agents

🤖 Inkling-Small - Multimodal Model for Coding and Agents

This article introduces Inkling-Small, an open-weight multimodal model available on Together AI and Command Code. It details the model's specifications and availability for various development workloads.

Key Points:

• Inkling-Small operates as a multimodal model processing text, image, and audio data.

• The model has 276 billion total parameters with 12 billion active parameters.

• It offers a context window up to 1 million tokens with variable thinking effort.

• Performance on Terminal-Bench 2.1 is comparable to the larger Inkling model at lower cost.

• Pricing on Command Code is $0.50/M input tokens and $1.20/M output tokens.

🚀 Implementation:

1. Access Inkling-Small via Together AI for production inference.
2. Use Command Code by updating the CLI with $ cmd --update.
3. Select the model using $ cmd --model thinkingmachines/inkling-small.

🔗 Resources:

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🚀 ADE - Unified Development Workspace for AI Models

This article introduces ADE, an open-source native workspace designed to integrate various AI coding assistants and development tools. It enables parallel execution and workflow management within a single environment.

Key Points:

• ADE provides a single workspace for tools like Claude Code, Codex, and Cursor.

• It supports Git worktrees for task isolation and includes PR review capabilities.

• The tool is open source and available for free.

• Integrations include Linear, GitHub, and Tailscale.

• An iOS companion app and Homebrew installation are available.

🚀 Implementation:

1. Install ADE using the Homebrew package manager.
2. Configure integrations with platforms like GitHub and Linear.
3. Manage tasks using Git worktrees directly within the workspace.

🔗 Resources:

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✨ Tempo Labs - Free Access to GPT-5.6 Luna

This article notes a promotional offer from Tempo Labs providing free, unlimited access to their GPT-5.6 Luna model. Access is granted upon interaction with a specific post.

Key Points:

• Tempo Labs is offering free, unlimited access to its GPT-5.6 Luna model.

• The offer requires users to like and reply to a promotional post.

🔗 Resources:

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✨ OpenAI Codex - ImageGen Visual Enhancements

This article reports an update to ImageGen within OpenAI Codex, introducing a new lightbox and canvas feature. These additions aim to improve visual exploration and refinement workflows.

Key Points:

• ImageGen in OpenAI Codex now includes a new lightbox feature.

• A new canvas has been added to the ImageGen interface.

• These updates are intended to simplify visual exploration and refinement processes.

🤖 TaskletAI - Multi-Model Subagent Delegation

This article describes how TaskletAI supports multi-model subagent delegation, allowing developers to optimize costs by assigning tasks to different AI models based on their efficiency.

Key Points:

• TaskletAI enables the use of multiple AI models through subagent delegation.

• A main agent model, such as Opus 5, can delegate tasks.

• Less expensive models, like Luna-powered subagents, can handle routine work.

• This approach can reduce operational costs, with subagents potentially costing less than 3% of the main agent.

🔗 Resources:

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💡 Vapi - Selecting and Integrating AI Models

This article references a past livestream that discussed criteria for choosing and integrating AI models on the Vapi platform. The session covered specific models like Nova-3, Flux, and Aura-2.

Key Points:

• The discussion focused on how to select appropriate AI models for various applications.

• Guidance was provided on integrating and using these models within the Vapi ecosystem.

• Specific models highlighted included Nova-3, Flux, and Aura-2 from DeepgramAI.

🔗 Resources:
• Vapi Livestream RSVP ↗ - Event registration for model selection discussion.

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