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🤖 OpenAI unveils 'Deep Research'

🤖 OpenAI unveils 'Deep Research'

PLUS: Now you can generate full-length songs with AI

Jaynit Makwana & Dhaval Makwana
February 03, 2025

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Hola, AI fam 🤖

In today’s WakeTheAI edition:

OpenAI unveils ‘Deep Research‘
HKUST & M-A-P team unveils YuE
Meta builds ‘war rooms‘ for DeepSeek
Prompt: Rapidly Generate Innovative Ideas
The Authors Guild launches “Human Authored“ certification
The EU now bans AI systems deemed an “unacceptable risk“
Poshmark is launching Smart List AI an AI tool that generates listings
Google’s Gemini AI can now analyze spreadsheet data & generate charts

OPENAI
🤖 OpenAI unveils ‘Deep Research’

Lazy Bits: Yesterday, OpenAI introduced "Deep Research", a new ChatGPT AI agent for in-depth research in finance, science, policy, and engineering. Unlike simple AI summaries, it gathers, analyzes, and synthesizes complex information from multiple sources for detailed, well-cited reports.

In-Depth Details:

Autonomous Research: Deep Research compiles data from websites, PDFs, and uploaded files, generating structured reports instead of quick AI answers.
Advanced AI Model: It runs on a specialized o3 reasoning model, trained with reinforcement learning to optimize web browsing and data analysis.
User Interaction: Users can attach files, spreadsheets, or images, with responses taking 5 to 30 minutes and a 100-query monthly limit for ChatGPT Pro users.
Accuracy & Citations: Reports include citations and reasoning summaries, but OpenAI warns of AI errors, despite the model scoring 26.6% on Humanity’s Last Exam, outperforming Gemini Thinking (6.2%) and GPT-4o (3.3%).
Availability: Currently for ChatGPT Pro users, rolling out to Plus, Team, and Enterprise users, with mobile and desktop integration coming soon.
Future Capabilities: OpenAI plans to add embedded images, interactive data visualizations, and subscription-based research database access.

Lazy Conclusion: Deep Research could redefine AI-powered research by providing detailed, multi-source reports with citations for professionals in finance, science, and policy. However, its accuracy and ability to verify credible sources will determine its real-world reliability.

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AI MUSIC
🎵 HKUST & M-A-P team unveils YuE

Lazy Bits: Hong Kong University of Science & Technology researchers & M-A-P team just introduced YuE, an open-source AI model family that generates full-length songs with coherent vocals, instrumental harmony, and multi-genre creativity, rivaling Suno AI.

In-Depth Details:

Full-Length Song Generation: YuE creates entire songs from lyrics, ensuring consistency in vocals, melody, and background music.
Advanced AI Techniques: It synchronizes vocals and instruments, structures lyrics with Lyrics-CoT, and enhances efficiency with an audio tokenizer.
Multi-Language & Genre Support: YuE generates music in English, Chinese, Japanese, and Korean, adapting to different genres.
Scalability & Training: Built on LLaMA, its three-stage training improves musical quality, lyric alignment, and scalability.
Variants & Accessibility: YuE offers models up to 7B parameters and is freely available on Hugging Face.
Efficiency: Optimized for cost-effective training, it lowers barriers to AI-driven music creation.

Lazy Conclusion: YuE’s open-source approach could reshape AI-powered music, setting a new standard for full-length AI-generated songs with coherent vocals and instrumental depth, directly competing with Suno AI.

META
🧑‍💻 Meta builds ‘war rooms‘ for DeekSeek

Lazy Bits: Meta has assembled four “war rooms” of engineers to analyze how Chinese AI startup DeepSeek developed an AI model that rivals top-tier systems like ChatGPT at a fraction of the cost.

In-Depth Details:

Meta’s Response: Meta formed four teams to study DeepSeek’s cost-saving AI techniques, training data, and model architecture for potential use in Llama.
DeepSeek’s Breakthrough: The R1 model, backed by High-Flyer Capital, competes with OpenAI’s models while being far cheaper to train and run.
Competitive Pressure: Meta AI director Mathew Oldham warned R1 could outperform Llama 4, forcing Meta to adjust its AI strategy before 2025.
Massive AI Investments: Mark Zuckerberg committed $65 billion this year to AI infrastructure, data centers, and hiring AI talent to stay ahead.
Open-Source vs. Costs: Meta backs open-source AI, but DeepSeek’s efficiency raises doubts about Big Tech’s expensive AI strategies.
Market Reaction: Some Meta executives argue DeepSeek succeeded through open-source research, not superior hardware, challenging AI investment trends.

Lazy Conclusion: Meta is in damage control mode, racing to decode DeepSeek’s AI advancements while doubling down on billions in AI investments. Whether Llama 4 can compete remains to be seen.

Rapidly Generate Innovative Ideas

You can ask ChatGPT to act as your innovation strategist, developing a structured framework for brainstorming and implementing high-impact ideas.

ChatGPT will guide you through understanding key innovation drivers, generating actionable solutions, and mapping interdependencies to maximize efficiency.

The output will include a dependency-driven framework with clear steps, ensuring your strategies are measurable, adaptable, and aligned with your business goals.

Prompt:

Take on the role of an innovation strategist specializing in structured idea generation. Your task is to develop a step-by-step framework for brainstorming and implementing innovative solutions to enhance productivity and creativity. The output should address the following key areas:

Key Focus Areas:

1. Understanding the Innovation Landscape – Identify core elements that drive productivity and creativity.
2. Generating High-Impact Ideas – Explore unique and actionable solutions, ensuring they align with business goals.
3. Analyzing Interdependencies – Map out how each idea influences others, creating a dependency-driven framework.
4. Measuring Potential Impact – Evaluate the feasibility and effectiveness of proposed innovations.
5. Implementing Innovation Strategies – Provide structured recommendations for integrating new ideas into workflows.

Key Information About Me:

Topic of Interest: [Insert topic]
Industry: [Insert industry]
Target Audience: [Insert target audience]
Current Challenges: [Describe existing productivity/creativity barriers]
Available Resources: [List tools, technology, or skills at your disposal]

Output Requirements:

• Structure the output using a dependency-driven framework, clearly illustrating how ideas are connected and their cascading effects.
• Use numbered lists and bullet points to ensure clarity and logical progression.
• Ensure that recommendations are actionable, measurable, and adaptable across different industries and team sizes.

Result:

Google’s Gemini AI can now analyze spreadsheet data and generate static charts in Sheets, automating data visualization for Workspace and AI Premium users.
Poshmark is launching Smart List AI, an AI tool that generates product listings from photos. Sellers must confirm details before listing. iOS rollout starts in February.
The EU now bans AI systems deemed an “unacceptable risk,” including social scoring, real-time biometric surveillance, and AI that manipulates or exploits users.
The Authors Guild launches “Human Authored” certification, allowing writers to verify their books were written by humans, not AI, to ensure reader transparency.