✨ Framer - New AI Models (Sol, Terra, Luna)

✨ Framer - New AI Models (Sol, Terra, Luna)

Framer has released three new AI models: Sol, Terra, and Luna. These models aim to provide better control over creative quality, operational cost, and processing speed for users within the Framer platform.

Key Points:

• Sol is Framer's strongest creative model, scoring 100% on internal benchmarks.

• Sol operates at the same credit cost as the previous GPT 5.5 model.

• The new model lineup offers options to balance AI model quality, cost, and speed.

🔗 Resources:
• Framer Blog Post ↗ - Details on Sol, Terra, and Luna models.
• Framer Benchmarks ↗ - Full benchmark results for the new models.

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🤖 ChatGPT - GPT-Live Feature Rollout

GPT-Live is now available to ChatGPT users on Go, Plus, and Pro plans. This feature enables real-time interaction capabilities directly within the ChatGPT application.

Key Points:

• GPT-Live is available for ChatGPT subscribers on Go, Plus, and Pro plans.

• A rollout for free ChatGPT users is currently in progress.

• Accessing the feature requires updating the ChatGPT mobile application.

🚀 Implementation:

1. Update the ChatGPT app to the latest version on iOS or Android.

🔗 Resources:

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🚀 Typefully - X Articles Publishing Integration

Typefully now integrates with X to allow users to draft and publish long-form articles. This feature includes tools for feedback and content previewing before publication.

Key Points:

• Typefully supports drafting and publishing long-form X Articles.

• The platform offers features for feedback comments and article previewing.

• Publishing Articles requires X Premium, but drafting is available for all Typefully users.

🚀 Implementation:

1. In Typefully, click on the "New draft" menu.
2. Select the new "Article" option to begin drafting.

🔗 Resources:
• Typefully AI Agents ↗ - Information on AI agent capabilities.
• Typefully API Docs ↗ - Documentation for the Typefully API.
• Typefully Changelog ↗ - Recent changes and updates for Typefully.

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💡 MMARA - Custom AI for Specialized Domains

MMARA's founders opted to build a custom AI solution instead of integrating existing large language models. This decision prioritizes user trust and domain-specific accuracy, particularly in sensitive areas like women's health.

Key Points:

• Generic LLMs can exhibit performance limitations in specialized application domains.

• Developing custom AI allows for tailored accuracy in specific use cases.

• Prioritizing user trust can drive investments in proprietary model development.

• A custom AI development path, while slower, can yield better long-term reliability.

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