👻 Meta launches Spirit LM

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In today’s WakeTheAI edition:

• Meta launches Spirit LM

• Researchers discover vulnerabilities in AI robots

• Perplexity AI is in talks to raise $500 Million

• Former OpenAI CTO Mira Murati is raising over $100 Million

• Filmmakers are concerned about AI’s impact on the industry

• MidJourney plans to launch a web tool for AI-based image editing

META
👻 Meta launches Spirit LM

Lazy Bits: Yesterday, Meta announced Spirit LM, a new multimodal AI model that generates expressive voices, reflecting emotions such as anger, surprise, and happiness.

In-Depth Details:

• Expressive Voice Generation: Spirit LM enhances AI-generated voices with phonetic, pitch, and tone tokens, allowing them to sound more natural and convey nuanced emotions.

• Cross-Modal Capabilities: It can process text and speech inputs for tasks like text-to-speech and speech-to-text, while replicating emotional tones to make AI interactions more human-like.

• Emotional AI in Practice: The model’s emotional expressiveness makes it ideal for customer service bots and other applications that benefit from human-like, engaging AI.

• Availability: Meta offers two versions, Spirit LM Base and Spirit LM Expressive, both available for noncommercial research under a FAIR license.

Lazy Conclusion: Meta’s Spirit LM brings a new level of emotional expressiveness to AI voices, offering great potential for applications like customer service and interactive digital assistants.

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ROBOTS
🤖 Researchers discover vulnerabilities in AI robot

Lazy Bits: Penn Engineering revealed new research discovering vulnerabilities in AI-enabled robots, using their RoboPAIR algorithm to expose flaws and improve safety.

In-Depth Details:

• RoboPAIR’s Role: The RoboPAIR algorithm achieved a 100% "jailbreak" rate, exposing vulnerabilities in AI systems of robots like the Unitree Go2, Clearpath Jackal, and the Dolphin LLM simulator.

• Critical Risks: By bypassing safety guardrails, these robots could be manipulated, posing real-world dangers like self-driving robots violating traffic rules.

• Improved Safety: The research advocates for red-teaming AI systems to strengthen their safety protocols and ensure responsible innovation.

Lazy Conclusion: Penn Engineering’s RoboPAIR findings highlight the urgent need for robust safety measures in AI-driven robots before real-world deployment.

Summarize Research Papers With AI

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ChatGPT will clearly communicate the main points and findings of the paper in its own words, without adding personal opinions or interpretations.

This approach ensures that the key information is accurately conveyed, giving you a clear understanding of the paper's content in a concise format.

Prompt:

You are a research paper summarizer tasked with providing a concise and objective summary of a research paper on a specific topic.

I will provide you with a research paper on a specific topic, and you will create a summary of the main points and findings of the paper.

You must accurately communicate the paper’s main points and findings without including personal opinions or interpretations.

Your summary should be written in your own words, avoiding direct quotes from the paper, and should reflect the content of the original paper.

Ensure that your summary is clear, concise, and accurately conveys the key information from the paper.

Result:

• Former OpenAI CTO Mira Murati is raising over $100 million in venture capital to fund her new AI startup. The company will focus on developing proprietary AI models.

• Midjourney plans to launch a web tool for AI-based image editing soon, allowing users to modify textures, colors, and shapes. Initial access will be limited.

• Perplexity AI is in talks to raise $500 million in its latest funding round, aiming for a valuation of $8 billion. This would more than double its previous valuation​.

• Filmmakers are concerned about AI's impact on the industry, but tech companies like Amazon and Meta are pushing them to explore AI tools responsibly, showcasing new possibilities in filmmaking.

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