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- 🚀 OpenAI Co-founder Launches Safe Superintelligence Company
🚀 OpenAI Co-founder Launches Safe Superintelligence Company
🤖Anthropic’s Speedy AI Model, xAI’s Supercomputer Collaboration, and more!
Welcome, AI enthusiasts.
2024 is set to be an exciting year for AI and robotics. Let's dive in..
In today’s Generative AI Newsletter:
Curious Thing AI Set to Replace Voicemail with Free AI Phone Agent
Co-founder of OpenAI Starts Safe Superintelligence Company
Anthropic Launches Fast New AI Model and Innovative Chatbot Interaction
Dell, Nvidia, and Super Micro Collaborate to Build AI Factory for xAI’s Supercomputer
Creativity Has Left the Chat: The Price of Debiasing Language Models
5 Best AI Tools for Business Calls
Curious Thing AI Set to Replace Voicemail with Free AI Phone Agent
Curious Thing AI introduces Lucy, a free AI phone agent, poised to revolutionize how missed calls are managed for both personal and business use.
Unique Offering: Lucy stands out as the only free AI phone agent in the market. No credit card required.
Quick Setup: Just 2 minutes on your mobile.
Top-Tier Experience: Provides exceptional conversational interactions and self-service features.
Widespread Availability: Now accessible in the US and Australia, with upcoming launches in the UK and Canada.
Instant Summaries: Get call summaries via text and email.
Complete Records: Access full transcripts and audio recordings.
Easy Sharing: Effortlessly share your website, online booking, and more.
Advanced Capabilities: New features are regularly added to both free and paid versions of the product.
Co-founder of OpenAI Starts Safe Superintelligence Company
Ilya Sutskever, co-founder and former chief scientist of OpenAI, has launched Safe Superintelligence Inc. (SSI).
The company aims to develop a superintelligent AI system prioritizing safety and security. SSI, announced on June 19, 2024, will focus on a single product to avoid management distractions and short-term commercial pressures.
Sutskever is joined by Daniel Gross, former AI lead at Apple, and Daniel Levy, former OpenAI researcher. The company's offices are located in Palo Alto, California, and Tel Aviv, Israel​.
Anthropic Launches Fast New AI Model and Innovative Chatbot Interaction
Anthropic has unveiled the Claude 3.5 model family, featuring three AI models: Opus, Sonnet, and Haiku.
Sonnet, designed for enterprise use, offers a balance between cost and performance, excelling in tasks like data processing and sales forecasting.
These models are known for improved accuracy, fewer refusals, and enhanced recall capabilities, handling up to 1 million tokens of context.
Available now through Anthropic's API and Amazon Bedrock, these models promise advanced performance while prioritizing safety and bias mitigation
Dell, Nvidia, and Super Micro Collaborate to Build AI Factory for xAI’s Supercomputer
Elon Musk's AI startup, xAI, is leveraging Dell and Super Micro server racks to build powerful supercomputers for AI research.
These servers, featuring advanced Nvidia AI chips, are designed to handle the computational demands of developing sophisticated AI systems. xAI aims to create AI that surpasses human intelligence while maintaining a focus on safety and transparency.
The startup's first product will compete with existing AI models from companies like OpenAI and Google, with an emphasis on openness and minimal content moderation​.
RLHF Reduces LLM Creativity and Output Variety
Creativity Has Left the Chat: The Price of Debiasing Language Models
A recent paper highlights that Reinforcement Learning from Human Feedback (RLHF) significantly diminishes the creativity of Large Language Models (LLMs).
While RLHF effectively reduces toxic and biased content, it also limits syntactic and semantic diversity, making models function more like deterministic algorithms.
This reduction is attributed to the blocking of many token trajectories during RLHF, causing models to get stuck in specific "attractor states."
Experiments show decreased diversity in practical contexts, semantic clustering, and lower syntactic entropy in aligned models.
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