🤖 OpenAI's GPT-5 faces major delays

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Hola, AI fam 🤖

In today’s WakeTheAI edition:

• OpenAI’s GPT-5 faces major delays

• AI to translate Animal Speech?

• Prompt: Build Learning Habits

• Tetsuwan Scientific is building AI robotic scientists

• Asus unveils the NUC 14 Pro AI, a Copilot Plus mini PC

• Elon Musk’s xAI is testing a standalone iOS app for Grok

• NVIDIA wins EU approval to acquire AI startup Run:ai for $700M

• Google’s Files app now supports Gemini's “Ask about this PDF“ feature

OPENAI
🤖 OpenAI’s GPT-5 faces major delays

Lazy Bits: OpenAI’s GPT-5 project, code-named “Orion,” reportedly faces delays and skyrocketing costs, but it promises groundbreaking AI advancements with smarter reasoning capabilities.

In-Depth Details:

• Massive Costs and Delays: Orion’s training runs have already cost hundreds of millions and faced setbacks due to technical challenges and data shortages, delaying its release beyond 2024.

• AI Reasoning Breakthroughs: Researchers are focusing on reasoning-based AI models, simulating human thought processes to improve problem-solving without relying solely on massive datasets.

• Data Shortages and Solutions: OpenAI is addressing data scarcity by generating custom datasets through expert inputs and AI-generated synthetic data, though quality concerns persist.

• Internal Turmoil: Leadership changes and increased competition from rivals like Anthropic and Google have intensified pressure on OpenAI to deliver a breakthrough other than o3.

Lazy Conclusion: OpenAI’s Orion could redefine AI capabilities with advanced reasoning and smarter models. However, repeated delays, massive training costs, and data shortages have slowed its progress, raising questions about whether it can meet expectations.

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AI TRANSLATION
🗣️ AI to translate Animal Sounds into Human Language?

Lazy Bits: AI and machine learning are set to revolutionize animal communication research by 2025, with tools like LLMs and neural networks aiming to decode animal sounds.

In-Depth Details:

• New AI Tools in 2025: Advances in AI and machine learning promise to analyze massive datasets of animal sounds, revealing patterns and structures previously undetectable.

• Massive Data Collection: Affordable devices like AudioMoth enable 24/7 recording, creating large datasets for AI models to process and study animal communication.

• Algorithms for Analysis: Neural networks can now detect, cluster, and analyze animal sounds, potentially uncovering structures similar to human language patterns.

• Big Prizes Fuel Research: The $500,000 Coller-Dolittle Prize is accelerating efforts to decode animal communication, sparking interest and competition among researchers.

• Translation vs. Decoding: While some researchers aim to translate animal sounds into human language, others focus on deciphering patterns, as animals may lack true “language.”

Lazy Conclusion: AI breakthroughs could help us decode animal communication, but questions about whether animals truly “speak” like humans keep expectations in check.

Build Learning Habits

You can ask ChatGPT to act as your learning and development expert, creating a personalized plan to help you acquire new skills effectively.

It will outline clear learning goals, recommend tailored resources, and design systems to track progress and milestones.

The output will be presented in a markdown table format with actionable steps, making it easy to follow and adaptable for learners at any level.

Prompt:

Act as a learning and development expert specializing in skill-building strategies. Your task is to create a personalized learning plan to help acquire new skills in a specific subject area and track progress effectively. The output should cover the following key areas:

1. Establish Learning Goals – Define clear, measurable objectives based on the learner’s desired outcomes.
2. Select Resources – Provide recommendations for books, courses, videos, and tools tailored to the learner’s preferred style.
3. Design Progress Tracking Systems – Offer tools and methods to monitor learning milestones and assess growth.
4. Build a Structured Timeline – Organize the learning process into manageable phases for steady progress.
5. Implement Feedback Loops – Share tips for self-assessment and continuous improvement.

Key Information about me:

Subject Area: [Insert subject area]
Current Skill Level: [Insert skill level]
Learning Goals: [Specify goals]
Preferred Learning Style: [Insert learning style]
Available Time for Learning: [Daily or weekly hours]

Output Requirments:

• Present the output in a markdown table format with 3 columns:
- Learning Objectives
- Resources
- Progress Tracking Methods
• Use numbered lists and bullet points under each step for clarity and examples.
• Ensure the language is actionable, adaptable, and practical for learners of any level.

Result:

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• Elon Musk’s xAI is testing a standalone iOS app for Grok, offering AI features like text rewriting, summaries, Q&A, and image generation from prompts.

• Google’s Files app now supports Gemini’s “Ask about this PDF” feature, letting Advanced subscribers quickly query PDFs, but it requires Android 15.

• Nvidia wins EU approval to acquire AI startup Run:ai for $700M, but the deal faces delays in the U.S. due to ongoing DOJ review.

• Tetsuwan Scientific is building robotic AI scientists that can autonomously run experiments, analyze results, and refine processes—revolutionizing lab automation.

• Asus unveils the NUC 14 Pro AI, a Copilot Plus mini PC with Intel Core Ultra 9, up to 32GB RAM, Wi-Fi 7, and AI features in a compact Mac Mini-like design.

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