Lifeboat Foundation

Is anything ever normal in the AI industry?

A doozy of a scoop by the newsletter Nongaap Investing and extensively followed up by Business Insider certainly makes us wonder. The gist is that for a period of time in 2023, the person in charge of OpenAI’s $175 million startup fund appears to have been completely fake — and OpenAI says the documents filed with the California Secretary of State to put the fake person in charge were “completely fabricated.”

Head spinning yet? Us too. OpenAI is almost certainly the hottest startup on the planet right now, and it sounds like someone pulled an extrardinary fast one on it, with unclear goals. And lest you think this is some unimportant position, the person now running the fund is none other than OpenAI’s mercurial CEO, Sam Altman.

Google DeepMind researchers have developed a new AI system that excels in fact-checking, outperforming human annotators and saving costs, but critics question what ‘superhuman’ really means in this context.

The bot will see you now.

A new report reveals the chaos behind the startup Stability AI, including an incident where its now-ex CEO disappeared in his pajamas.

As investors are pouring billions of dollars into AI companies, analysts are starting to become wary of an “AI bubble” that’s forming.

A research team led by Prof. Kwon Hyuk-jun of the DGIST Department of Electrical Engineering and Computer Science has developed a next-generation AI semiconductor technology that mimics the human brain’s efficiency in AI and neuromorphic systems.

Combinatorial optimization problems (COPs) have applications in many different fields such as logistics, supply chain management, machine learning, material design and drug discovery, among others, for finding the optimal solution to complex problems. These problems are usually very computationally intensive using classical computers and thus solving COPs using quantum computers has attracted significant attention from both academia and industry.

Over the past decade, organic luminescent materials have been recognized by academia and industry alike as promising components for light, flexible and versatile optoelectronic devices such as OLED displays. However, it is a challenge to find suitably efficient materials.

To address this challenge, a joint research team has developed a novel approach combining a machine learning model with quantum-classical computational molecular design to accelerate the discovery of efficient OLED emitters. This research was published May 17 in Intelligent Computing.

The optimal OLED emitter discovered by the authors using this “hybrid quantum-classical procedure” is a deuterated derivative of Alq₃ and is both extremely efficient at emitting light and synthesizable.

Amazon is betting big on Anthropic even as it plans to compete with it.