AI News: GPT-4-Level Open Source, New Image Models, Neuralink (And More)

1. Bard's image generation limitations

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Bard's image generation feature has limitations, denying prompts that seem reasonable, such as generating images of real people.

• It denies prompts that are physically impossible or misleading.
• It struggles with certain prompts, even those that are not offensive or trademarked.

2. MidJourney's Nii V6 model for anime-style image generation

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MidJourney introduces the Nii V6 model for generating anime-style images, catering to users interested in creating cartoon and anime-style images.

• Enables users to generate anime-style images within the MidJourney platform.
• Caters to the niche interest of creating anime-style images.

3. Shopify's AI image editor for product enhancement

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Shopify introduces AI-powered background editing features for product image enhancement, offering style presets and background matching for a cohesive storefront.

• Enables instant boost of professionalism with style presets.
• Facilitates background matching for a cohesive brand image.

4. StrokeNUWA's vector graphic synthesis

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StrokeNUWA introduces a new approach to image generation, using vector graphic synthesis to prompt drawings, offering a unique method compared to traditional AI image generation models.

• Utilizes a large language model to draw pictures, distinct from standard diffusion models.
• Represents a novel approach to image generation, potentially revolutionizing the field.

5. Image to Sound Effects feature

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Hugging Face's 'Image to SFX' allows users to upload an image and receive a corresponding sound clip, offering a unique and creative way to pair images with audio.

• Generates sound clips based on uploaded images, providing a creative audio-visual experience.
• Represents an innovative approach to associating images with sound.

6. Mistral's leaked GPT-4 level open source model

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Mistral's leaked GPT-4 level open source model, 'Miq', achieves near GPT-4 outputs, hinting at potential game-changing AI developments from Mistral.

• Scores 83.5 on the EQ Benchmark, surpassing other large language models except for GPT-4.
• Indicates Mistral's capability to develop high-performing AI models, potentially revolutionizing the field.

7. Meta's CodeLlama70b model for code generation

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Meta's CodeLlama70b model achieves high performance in code generation, serving as a top-performing base for fine-tuning code generation models.

• Scores 67.8 on human evaluation, making it one of the highest performing open models available.
• Serves as a strong base for developing code generation models.

8. Apple is heavily investing in AI acquisitions.

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Apple has acquired more AI companies than any other major tech company since 2017, indicating a significant focus on AI technology.

• This demonstrates Apple's commitment to integrating AI into its software platforms.
• The company's generative AI features are expected to be launched later this year.

9. Introduction of Apple Vision Pro and its impact.

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The launch of Apple Vision Pro, along with 600 purpose-built apps, marks a significant move for Apple in the tech market.

• The availability of specialized apps for Apple Vision Pro enhances its utility for consumers.
• The product's potential impact on the tech industry is noteworthy.

10. Arc Search Mobile Browser's innovative features.

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Arc Search offers a unique browsing experience by generating comprehensive web pages based on user prompts, streamlining information access.

• The browser's ability to consolidate relevant information into a single page is a user-friendly innovation.
• However, it poses challenges for content creators in driving traffic to their websites.

11. AI-generated robocalls being outlawed by the FCC.

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The FCC's move to outlaw AI-generated robocalls aims to combat scams and spam, although enforcement challenges are anticipated.

• Despite the legal prohibition, concerns persist about the effectiveness of preventing misuse of this technology.
• The ethical implications of AI in communication are being addressed through regulatory measures.

12. Morpheus 1's potential to induce lucid dreaming.

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The Morpheus 1 model, designed to induce lucid dreaming, presents a novel application of AI in altering cognitive states, with beta testing scheduled for 2024.

• The technology's implications for dream control and cognitive exploration are intriguing.
• The skepticism surrounding its effectiveness highlights the need for further exploration and validation.

13. Neuralink's groundbreaking implantation in humans.

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Neuralink's implantation in a human marks a significant milestone in brain-computer interface technology, with potential future implications for knowledge acquisition.

• The initial focus on assisting quadriplegics hints at broader applications in knowledge transfer and skill acquisition.
• The technology's potential to revolutionize learning and accessibility is noteworthy.

14. Apple's strategic approach to AI integration.

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Apple's discreet approach to AI integration, despite significant acquisitions, reflects a deliberate strategy to unveil developments at key events, fostering anticipation and speculation.

• The company's emphasis on secrecy generates curiosity and buzz around its AI initiatives.
• This strategic communication approach contributes to heightened interest and engagement among consumers.