Researchers from MIT and the MIT-IBM Watson AI Lab developed a technique to estimate the reliability of foundation models, like ChatGPT and DALL-E, before deployment. By training a set of slightly different models and assessing consistency, they can rank models based on reliability scores for various tasks.
Microsoft CTO Kevin Scott emphasizes the potential of large language model scaling laws in driving AI progress. Scott played a crucial role in the $13 billion technology-sharing deal between Microsoft and OpenAI, highlighting the impact of scaling up model size and training data on AI capabilities.
AI Recommendation Systems excel at suggesting similar products, but struggle with complementary ones. The zeroCPR framework offers an affordable solution for discovering complementary products using LLM technology.
Using a GloVe embedding-based algorithm, achieve 100% accuracy in the game "Codenames" by automating the roles of spymaster and operative. Representing word meaning with pre-trained GloVe embeddings to maximize accuracy in decoding clues and choosing words efficiently.
Tate Modern's Electric Dreams exhibition explores artists embracing AI as opportunity, not threat, showcasing their longstanding relationship with technology. Director Catherine Wood highlights the symbiosis between art and technology, emphasizing their enduring connection.
VerifAI project, funded by the EU, creates a unique generative search engine for biomedical domain using LLMs. Focus on hallucination detection sets it apart from other RAG-based products, addressing the issue of misleading text.
Basic income pilot scheme in Ireland provides artist Elinor O’Donovan with guaranteed salary, enabling her to focus on art full-time. Guaranteed income gaining traction as a solution to impact of AI, encouraging more rewarding work.
OpenAI whistleblowers seek investigation into restrictive contracts requiring permission to contact regulators, potentially stifling concerns about the company. Non-disclosure agreements at OpenAI under scrutiny for potential repercussions on employees raising issues with federal authorities.
AI-enabled weapons are on the rise in military use, with companies like Elbit Systems leading the way in developing lethal autonomous drones. The industry is booming as defense companies showcase their advancements in AI technology for combat purposes.
Dynamic programming and Monte Carlo algorithms merge in reinforcement learning. Temporal-difference algorithms combine advantages of both, updating states after n time steps.
Renée DiResta, former Stanford Internet Observatory manager, delves into online propaganda in her new book. She highlights the evolution of propaganda and its impact on society, emphasizing the need for a more accurate diagnosis of the issue.
AI system ChatGPT sparks creativity in writers lacking flair, but may limit unique ideas. Researchers find AI can assist authors in storytelling, potentially altering the creative process.
Foundation models, like Large Language Models (LLMs), are being adapted for time series modeling through Large Time Series Foundation Models (LTSM). By leveraging sequential data similarities, LTSM aims to learn from diverse time series data for tasks like outlier detection and classification, building on the success of LLMs in computational linguistic domains.
Breakthrough DQN Megazord "Rainbow" combines 6 powerful variants of DQN for optimal performance in Deep Reinforcement Learning. Stoix library breaks down Rainbow components, including DQN algorithm and neural network implementation.
OpenAI introduces 5-tier system to measure progress towards AGI, sparking debate on feasibility and impact. CEO Sam Altman predicts AGI within the decade, highlighting potential societal disruptions.