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  • OpenAI Removes ChatGPT Text Limits and Launches GPT-5.6 Luna

OpenAI Removes ChatGPT Text Limits and Launches GPT-5.6 Luna

AND: OpenAI Moves to Dismiss Apple’s Trade Secrets Lawsuit

TodayOnAI’s Daily Drop

  • OpenAI Removes ChatGPT Text Limits and Launches GPT-5.6 Luna

  • OpenAI Moves to Dismiss Apple’s Trade Secrets Lawsuit

  • MacPaw and Liquid AI Team Up to Bring Private AI Models On-Device

  • 💬 Let’s Fix This Prompt

  • 🧰 Today’s AI Toolbox Pick

📌 The TodayOnAI Brief

OPENAI

🚀 TodayOnAI Insight: OpenAI is removing text-chat limits across ChatGPT as the platform crosses 1 billion weekly users. The update introduces GPT-5.6 Luna for Free and Go users, an upgraded GPT-5.6 Sol for Plus and Pro, and new controls for scaling reasoning to harder tasks.

🔍 Key Takeaways:

  • GPT-5.6 Luna replaces GPT-5.5 as the default model for Free and Go users.

  • Free and Go users get a “Think” button for complex queries, while Plus and Pro users receive a slider for adjusting reasoning effort.

  • Plus and Pro gain an upgraded GPT-5.6 Sol designed for concise, reliable answers across research, planning, writing, and decision-making.

  • OpenAI says factual errors fell 62% with Luna and 68% with Sol versus GPT-5.5-Instant.

  • Unlimited text chats arrive next week; separate limits remain for files, images, voice, and image generation.

💡 Why This Stands Out: OpenAI is shifting basic text access from a scarce resource toward a default utility, while making reasoning depth the new point of differentiation. As usage scales past a billion weekly users, the competitive question increasingly becomes not how often people can use AI, but how much intelligence they can summon when it matters.

OPENAI

🚀 TodayOnAI Insight: OpenAI is seeking dismissal of Apple’s trade secrets lawsuit, arguing that Apple’s own security and employee offboarding practices undermine its claims. The filing reframes the dispute from alleged data theft toward whether Apple adequately protected—and even clearly identified—the information as trade secrets.

🔍 Key Takeaways:

  • OpenAI says Apple allowed work through personal iCloud accounts and sometimes failed to revoke access after employees departed.

  • Exhibits reportedly show an Apple manager accessing a former engineer’s personal iCloud and later seeking his help on Apple projects.

  • OpenAI argues Apple describes the alleged secrets only through broad product-development categories rather than specific protected information.

  • Apple has requested expedited discovery after identifying additional former employees who may have participated in or witnessed alleged misconduct.

  • OpenAI claims the lawsuit is partly an attempt to constrain a rival competing for AI hardware talent.

💡 Why This Stands Out: The case could become as much about corporate information controls as employee conduct. As AI companies aggressively recruit experienced hardware engineers, protecting intellectual property—and proving it was genuinely treated as secret—may become an increasingly important competitive battleground.

MacPaw

🚀 TodayOnAI Insight: Ukraine-based MacPaw has partnered with Liquid AI to bring locally hosted AI models to its products, starting with its Eney assistant. The broader ambition is a developer stack for private, offline AI applications optimized for specific hardware.

🔍 Key Takeaways:

  • Liquid AI is developing Elix, an on-device inference system paired with local memory for Eney, which MacPaw unveiled last year.

  • Hardware-specific model architectures aim to improve efficiency while keeping sensitive processing on-device.

  • MacPaw plans to support offline assistants and agentic workflows, alongside cloud models from providers such as Google.

  • The technology could eventually become available to third-party developers building on-device AI apps.

  • Setapp, with 150,000+ paying users, is testing credit-based plans where AI usage depends on task complexity.

💡 Why This Stands Out: MacPaw is positioning local AI as both a product advantage and a developer platform. If on-device models can combine privacy, personalization, and offline agents with cloud AI when needed, hybrid inference could become a compelling architecture for the next generation of desktop apps.

💬 Let’s Fix This Prompt

 See how a simple prompt upgrade can unlock better AI output.

🔹 The Original Prompt

"Generate blog ideas for a tech company."

At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.

The Improved Prompt

Generate a list of unique, engaging blog post ideas for a B2B tech company that wants to attract decision-makers in mid-sized companies. Focus on topics related to emerging technology trends, industry insights, and practical solutions their software offers. Include suggested titles and a 1–2 sentence summary for each idea.

💡 Why It's Better

  • Specific audience: Targets decision-makers in mid-sized companies.

  • Contextual focus: Emphasizes emerging tech and practical solutions.

  • Actionable output: Requests summaries and titles to spark execution.

  • Tone and style: Guides the type of content (insightful, engaging, relevant).

🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown

💡 Bonus Tool: Want to generate and master prompts instantly?
👉 Try PromptPilot by TodayOnAI (Free to use)

🧠 Smart Picks

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  • Meta Launches Aria Gen 2 to Power the Future of Perception & Contextual AI.

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🧰 Today’s AI Toolbox Pick

  • 🍋LemonSqueezy (Finance Tool): Handles the tax compliance burden so you can focus on more revenue with less headache.

  • 💻ZipWP (Web Design Tool): Creates stunning websites in seconds.

  • ⚙️DupDub (Content Tool): An all-in-one content creation platform that allows you to craft your content effortlessly and streamline your workflow.