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- 🤖 Poe Introduces Innovative Price-Per-Message Revenue Model for AI Bot Creators
🤖 Poe Introduces Innovative Price-Per-Message Revenue Model for AI Bot Creators
PLUS: Meta Introduces Latest Custom AI Chip in Competitive Race
Hyrise AI
April 11, 2024
Welcome, AI Enthusiasts.
Quora-owned AI chatbot platform Poe introduces a new revenue model, allowing bot creators to set a per-message price for their bots, enabling them to earn money whenever a user messages them.
Meta is aggressively investing in AI research and hardware development, unveiling its latest custom AI chip, the "next-gen" Meta Training and Inference Accelerator (MTIA). This successor to MTIA v1 boasts improvements like a smaller 5nm manufacturing process, more processing cores, increased memory, and higher clock speeds.
In today’s issue:
🤖 Poe Introduces Innovative Price-Per-Message Revenue Model for AI Bot Creators
🦾 Meta Introduces Latest Custom AI Chip in Competitive Race
🛠️ 3 New AI tools
💻 Custom prompts ChatGPT and DALL-E 3
🤖 3 Quick AI updates
Read time: 5 minutes.
LATEST HIGHLIGHTS
Image source: Poe
To recap: Quora-owned AI chatbot platform Poe introduces a new revenue model, allowing bot creators to set a per-message price for their bots, enabling them to earn money whenever a user messages them. This follows the announcement of a revenue-sharing program last October. The platform aims to support developers with model inference or API costs and hopes to foster a thriving ecosystem of bot creators. The new model could lead to the development of various types of bots, such as those for tutoring, knowledge, assistants, analysis, storytelling, and image generation. Currently available to U.S. bot creators, the model will expand globally in the future. Poe also launches an enhanced analytics dashboard to help creators track earnings and understand how pricing affects bot usage and revenue.
The details:
1. Poe, the AI chatbot platform owned by Quora, introduces a new revenue model that allows bot creators to set a per-message price for their bots, enabling them to earn money each time a user interacts with their bots.
2. This revenue model follows the announcement of a revenue-sharing program in October 2023, aimed at giving bot creators a share of earnings when users subscribe to Poe's premium product.
3. The new per-message revenue model is designed to support developers by covering operational costs associated with model inference or API usage, fostering the growth of a thriving ecosystem of bot creators.
Here is the key takeaway: The introduction of a per-message revenue model by Poe, Quora's AI chatbot platform, provides bot creators with a new opportunity to monetize their creations. This model, alongside the existing revenue-sharing program, aims to incentivize the development of innovative bots while supporting developers by covering operational costs. With enhanced analytics and insights, creators can better understand how their pricing strategies impact bot usage and revenue generation.
Image source: Unsplash
In Summary: Meta is aggressively investing in AI research and hardware development, unveiling its latest custom AI chip, the "next-gen" Meta Training and Inference Accelerator (MTIA). This successor to MTIA v1 boasts improvements like a smaller 5nm manufacturing process, more processing cores, increased memory, and higher clock speeds. Despite not currently using the new chip for generative AI training workloads, Meta claims it delivers up to 3x better performance than its predecessor. The move reflects Meta's efforts to reduce dependency on third-party GPUs and catch up with rivals like Google, Amazon, and Microsoft in the AI hardware race.
Key points:
1. Meta has unveiled its latest custom AI chip, the "next-gen" Meta Training and Inference Accelerator (MTIA), as part of its efforts to bolster its AI capabilities and reduce dependency on third-party GPUs.
2. The new MTIA chip features significant improvements over its predecessor, including a smaller 5nm manufacturing process, more processing cores, increased memory, and higher clock speeds, resulting in up to 3x better performance.
3. Despite not currently using the new chip for generative AI training workloads, Meta is exploring several programs for its application in this area.
4. Meta's move to develop its custom AI hardware reflects its determination to catch up with rivals like Google, Amazon, and Microsoft, who have made significant strides in AI chip development.
Our thoughts: Meta's unveiling of its latest custom AI chip, the next-gen Meta Training and Inference Accelerator (MTIA), is a significant development in the competitive landscape of AI hardware. Meta's move to invest in developing its own AI chips reflects its ambition to reduce reliance on third-party GPUs and enhance the efficiency of its AI models.The improvements in the new MTIA chip, such as the smaller manufacturing process, increased processing cores, and higher performance, demonstrate Meta's commitment to advancing its hardware capabilities. However, it's notable that Meta is not currently utilizing the new chip for generative AI training workloads, indicating a gradual approach to integrating the technology into its operations.Meta's efforts to catch up with competitors like Google, Amazon, and Microsoft in AI chip development underscore the importance of hardware innovation in driving AI advancements. The competition in this space is fierce, and Meta's success will depend on its ability to continue iterating and refining its hardware to meet the evolving demands of AI applications.Overall, Meta's unveiling of the next-gen MTIA chip is a significant step forward in its AI strategy, but the company will need to demonstrate sustained progress and innovation to establish itself as a leader in the AI hardware market.
TRENDING TECHS
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AI DOJO
Script writer:
Prompt: Craft a dialogue between a time traveler from the future and a historian from the present.
DALL-E 3
Story scene creation:
Prompt: Illustrate a scene from a classic fairy tale with a modern twist.
QUICK BYTES
1. AI Impact on Jobs: AI, particularly in the form of image generators and chatbots, is already displacing human workers across various industries, raising concerns about unemployment and lack of new job creation.
2. Autonomous AI Systems: The development of fully autonomous AI systems like Devin, capable of generating code, identifying bugs, and deploying AI models, raises significant ethical concerns regarding job displacement and cybersecurity threats.
3. Security Risks: The potential for AI-driven cyberattacks, such as the insertion of backdoors into critical systems, highlights the security vulnerabilities posed by increasingly sophisticated AI technology.
4. Existential Threat: The tech industry is grappling with the concept of a future where AI evolves beyond human control, leading to a potential existential threat to humanity, as superintelligent AI systems may prioritize efficiency over human values, as illustrated by the paperclip maximizer thought experiment.
Google and WPP, a major advertising group, have joined forces in a groundbreaking partnership focusing on AI integration in marketing. Leveraging Google's powerful Gemini AI technology, the collaboration aims to revolutionize ad creation, campaign optimization, and ad narration. This partnership could lead to Google's AI generating ads for renowned brands like Coca-Cola and L'Oréal. Initially targeting enhanced creativity, content optimization, AI narration, and hyper-realistic product representation, the integration of Gemini AI into WPP's operations marks a significant leap in marketing innovation. With WPP already experiencing the benefits of Gemini 1.5, the partnership promises to reshape the landscape of advertising by leveraging the capabilities of advanced AI algorithms for more effective and targeted marketing campaigns.
TL;DR: Samsung's Galaxy AI is expanding its language support, adding Arabic, Indonesian, and Russian, along with three new dialects: Australian English, Cantonese, and Canadian French. The company plans to roll out these languages starting in April and throughout the coming months. Additionally, Samsung will add more languages later in the year, including Romanian, Turkish, Dutch, Swedish, traditional Chinese, and European Portuguese. These expansions aim to enhance features like Live Translate and Interpreter, making them more useful for users globally.
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