MIT researchers introduce generative AI for databases

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1. MIT researchers introduce generative AI for databases

GenSQL, a generative AI system for databases, enables users to perform complex statistical analyses of tabular data without knowing the underlying processes. It can help users make predictions, detect anomalies, guess missing values, fix errors, or generate synthetic data with just a few keystrokes.

GenSQL automatically integrates a tabular dataset and a generative probabilistic AI model, which can account for uncertainty and adjust decision-making based on new data. It can also produce and analyze synthetic data that mimics real data in a database, especially in situations where sensitive data cannot be shared or when real data is sparse.

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2. OpenAI Startup Fund backs AI healthcare venture with Arianna Huffington

Huffington Post founder Arianna Huffington and OpenAI CEO Sam Altman are backing Thrive AI Health, a new venture aiming to create AI-powered assistant tech to promote healthier lifestyles. Thrive AI Health will build an AI health coach to provide personalized advice on sleep, food, fitness, stress management, and "connection."

The company has appointed DeCarlos Love as CEO and counts Walmart co-founder Helen Walton's Alice L. Walton Foundation among its strategic investors. The goal is to train an AI health "coach" on scientific research and medical data, leveraging a health data platform and collaborations with Stanford Medicine.

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3. OpenAI has updated its ChatGPT app for Mac after a developer discovered the app was storing users' conversations in plain text.

OpenAI's ChatGPT Mac app, available only through the company's website, has been criticized for not following Apple's sandboxing requirements. This means that any other running app or process could potentially access ChatGPT conversations without user permission.

OpenAI has since released an update that encrypts the chats, but the update has not worked for users who downloaded it. The Verge reported that the app no longer works and users were unable to see conversations with the chatbot in plain text.

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4. Ex-Meta scientists debut gigantic AI protein design model

EvolutionaryScale, an AI model developed by ex-Meta scientists, has used its protein language model to create new fluorescent proteins. The model, known as ESM3, was trained on over 2.7 billion protein sequences and structures. The company has received US$142 million in new funding to apply its model to drug development, sustainability, and other pursuits.

The model can be used to create proteins to specifications provided by users, similar to chatbots. The company aims to make biology programmable and create new proteins that could transform medicine.

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5. Tesla shows its humanoid robot Optimus at China AI conference, but behind glass

Tesla showcased its second-generation Optimus humanoid robot at the World Artificial Intelligence Conference in Shanghai, showcasing its self-developed neural network and computer vision technology.

The robot, which has yet to enter full-scale production, is seen as the future of robots, capable of handling multiple tasks. Despite being used in sectors like education, entertainment, healthcare, and factory manufacturing, humanoid robots are still in lab research and not generating sales yet.

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