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- 💻 Piramidal’s Foundation Model
💻 Piramidal’s Foundation Model
PLUS: Viggle: Customizable AI Characters
Hyrise AI
August 27, 2024
Welcome, AI Enthusiasts.
Piramidal, founded by Dimitris Sakellariou and Kris Pahuja, is developing an AI model to standardize and automate the analysis of EEG data, aiming to improve brain disorder diagnostics and reduce the burden on medical staff.
Viggle, a Canadian AI startup, has gained attention for creating viral memes using controllable AI characters, such as videos where characters like Joaquin Phoenix's Joker replace the rapper Lil Yachty at a music festival.
In today’s issue:
🤖 PIRAMIDAL
🦾 VIGGLE
🛠️ AI PRODUCTS
🥋 AI DOJO
🤖 QUICK BYTES
Read time: 6 minutes.
LATEST HIGHLIGHTS
Image source: Piramidal
To recap: Piramidal, founded by Dimitris Sakellariou and Kris Pahuja, is developing an AI model to standardize and automate the analysis of EEG data, aiming to improve brain disorder diagnostics and reduce the burden on medical staff. The model is designed to work with any EEG setup, and the startup plans to deploy it in hospitals next year after successful pilot programs. Backed by $6 million in seed funding, Piramidal is also aggregating open-source EEG data to further train the model, with the goal of eventually surpassing human diagnostic capabilities.
The details:
1. Standardization of EEG Analysis: Piramidal's AI model aims to standardize and automate the detection of brain wave patterns across different EEG machines, potentially improving diagnostics for brain disorders.
2. Hospital Deployment: The model is set to be deployed in hospitals next year, with four ICU pilot programs planned to test its effectiveness in real-world medical settings.
3. Funding and Data Aggregation: Piramidal has raised $6 million in seed funding and is aggregating open-source EEG data to train and refine the model for broader application.
Here is the key takeaway: Piramidal is developing a groundbreaking AI model designed to standardize and automate the analysis of EEG data, which could significantly enhance brain disorder diagnostics and reduce the workload for medical professionals.
Image source: Viggle
In Summary: Viggle, a Canadian AI startup, has gained attention for creating viral memes using controllable AI characters, such as videos where characters like Joaquin Phoenix's Joker replace the rapper Lil Yachty at a music festival. Their AI model, JST-1, stands out by enabling users to specify realistic character motions, unlike other AI video models that often produce unrealistic movements. Beyond memes, Viggle's technology is being adopted by filmmakers, animators, and game designers as a visualization tool. The startup recently raised $19 million in Series A funding to scale its operations and accelerate product development. However, Viggle's use of YouTube videos as training data has raised concerns about potential violations of YouTube’s terms of service, placing them in a controversial position within the AI community.
Key points:
1. Viral AI Memes: Viggle gained popularity for creating customizable AI characters used in viral meme videos, such as replacing Lil Yachty with characters like Joaquin Phoenix's Joker.
2. Realistic Motion Control: Viggle's AI model, JST-1, allows users to specify realistic character motions, setting it apart from other AI video models that often produce unnatural movements.
3. Adoption in Creative Industries: Beyond memes, Viggle's technology is being used by filmmakers, animators, and game designers to visualize ideas and create animated content.
4. Controversy Over Training Data: Viggle's use of YouTube videos for training its AI model has raised potential legal concerns, as it may conflict with YouTube's terms of service, sparking controversy in the AI community.
Our thoughts: Viggle's approach to AI-generated content is fascinating, especially in how it merges entertainment and creativity with advanced technology. The ability to create customizable and controllable AI characters that can be used in everything from memes to professional visualizations is a strong indication of where AI is headed in creative industries. However, the controversy surrounding their use of YouTube videos as training data is a significant issue. It highlights the ongoing tension between innovation and the ethical use of data, especially in a landscape where the rules around AI training are still being defined. This situation serves as a reminder that as AI continues to evolve, transparency and compliance will be crucial in maintaining trust and avoiding potential legal challenges.
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AI DOJO
Automated Customer Service with Chatbots
Context:
Customer service is a crucial aspect of many businesses, often requiring 24/7 support to handle inquiries, resolve issues, and provide information. Traditional customer service setups can be resource-intensive and may lead to long wait times for customers.
How AI Chatbots Work:
1. Integration:
AI chatbots are integrated into websites, mobile apps, and social media platforms. They use natural language processing (NLP) to understand and interpret customer queries.
2. Handling Queries:
When a customer interacts with the chatbot, the AI analyzes the text or voice input to understand the intent. It then retrieves relevant information or provides responses based on pre-defined scripts or dynamic learning from previous interactions.
3. Learning and Improvement:
Advanced AI chatbots use machine learning to continuously improve their responses. They analyze previous interactions to learn common questions, understand context better, and provide more accurate answers over time.
4. Escalation and Personalization:
If the chatbot cannot resolve an issue, it can escalate the query to a human representative, passing along all relevant context to ensure a smooth transition. Additionally, chatbots can personalize interactions based on customer data, offering tailored recommendations or solutions.
Benefits:
- 24/7 Availability:
Chatbots provide round-the-clock support, ensuring that customers receive assistance at any time, without the need for human agents to be constantly available.
- Efficiency:
By handling routine inquiries and tasks, chatbots reduce the workload on human customer service representatives. This allows human agents to focus on more complex or high-priority issues.
- Cost Savings:
Implementing AI chatbots can reduce operational costs associated with customer service staffing. Businesses can handle a higher volume of queries without proportionally increasing their workforce.
- Improved Customer Experience:
Chatbots can deliver instant responses, reduce wait times, and offer consistent service, which enhances overall customer satisfaction. Personalization features further improve the customer experience by addressing individual needs.
- Data Collection and Insights:
Chatbots can gather valuable data on customer interactions, preferences, and pain points. This data can be analyzed to identify trends, improve services, and make informed business decisions.
Example in Practice:
A retail company implements a chatbot on its website to assist customers with common queries such as order status, product details, and return policies. The chatbot can handle these questions efficiently, provide real-time updates, and even suggest products based on customer preferences. When a customer has a more complex issue, the chatbot escalates the case to a human agent, along with a summary of the interaction, ensuring a seamless continuation of support.
QUICK BYTES
Inflection will introduce usage caps on its AI chatbot Pi and allow users to export their conversations, following the recent hiring of its founders by Microsoft. This move comes after Microsoft acquired Inflection's AI model for $650 million, leading to scrutiny from antitrust regulators. Inflection, now focusing on enterprise products, plans to manage its GPU resources by limiting free access to Pi and is exploring licensing its AI models to various organizations. The company is also working on new enterprise partnerships and aims to set a new standard in data transferability.
San Francisco remains the top destination for startups in 2024, driven by its concentration of tech talent and investor funding, according to new data from SignalFire. Despite perceptions of a tech exodus, founders like those from Unify and Lago are relocating to the Bay Area for its unparalleled networking opportunities, access to capital, and vibrant AI community. The city's dense concentration of tech professionals and serendipitous networking events continue to attract founders who seek to leverage the region's resources and connections to grow their businesses.
Stephen Wolfram believes that addressing the challenges posed by AI requires a philosophical perspective. Drawing from his background in science and computing, Wolfram argues that philosophical inquiry is crucial for understanding and guiding AI development, particularly in areas like ethics and decision-making. He criticizes the tech industry for neglecting these deeper questions and advocates for integrating philosophical rigor into AI research to better navigate its implications for humanity.
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