Lifeboat Foundation

He was ranked the number 1 most influential neuroscientist in the world by Semantic Scholar in 2016, and has received numerous awards and accolades for his work. His appointment as chief scientist of Verses not only validates their platform’s framework for advancing AI implementations but also highlights the company’s commitment to expanding the frontier of AI research and development.

Friston is short listed for a Nobel Prize, is one of the most cited scientists in human history with over 260,000 academic citations, and invented all of the mathematics behind the fMRI scan. As one pundit put it, “what Einstein was to physics, Friston is to Intelligence.”

Indeed Friston’s expertise will be invaluable in helping the company execute its vision of deploying a plethora of technologies working toward a smarter world through AI.

This physics-inspired circus performance enthralled attendees of the American Physical Society’s March Meeting, but a casual observer may have missed some of the scientific concepts that performers enacted.

By Karmela Padavic-Callaghan

With the development of computing and data, autonomous agents are gaining power. The need for humans to have some say over the policies learned by agents and to check that they align with their goals becomes all the more apparent in light of this.

Currently, users either 1) create reward functions for desired actions or 2) provide extensive labeled data. Both strategies present difficulties and are unlikely to be implemented in practice. Agents are vulnerable to reward hacking, making it challenging to design reward functions that strike a balance between competing goals. Yet, a reward function can be learned from annotated examples. However, enormous amounts of labeled data are needed to capture the subtleties of individual users’ tastes and objectives, which has proven expensive. Furthermore, reward functions must be redesigned, or the dataset should be re-collected for a new user population with different goals.

New research by Stanford University and DeepMind aims to design a system that makes it simpler for users to share their preferences, with an interface that is more natural than writing a reward function and a cost-effective approach to define those preferences using only a few instances. Their work uses large language models (LLMs) that have been trained on massive amounts of text data from the internet and have proven adept at learning in context with no or very few training examples. According to the researchers, LLMs are excellent contextual learners because they have been trained on a large enough dataset to incorporate important commonsense priors about human behavior.

To divine that wonderful arts lie hid behind trivial and childish things is a conception for superhuman talents.

Microsoft’s latest layoffs throw ethics out the window and we should all be worried.

“That’s got molecules in it that will prevent cancer, among other things” like anti-inflammatory properties, he said. Some older research has shown, for example, that green tea consumption might be linked to a lower risk of stomach cancer.

Sinclair also said he takes supplements (like those sold on the Tally Health website) that contain resveratrol, which his team’s research has shown can extend the lifespan of organisms like yeast and worms.

While the compound, famously found in red wine, is known to have anti-inflammatory, anti-cancer, heart health, and brain health benefits, the research is mixed on if or how well such benefits can be achieved in humans through a pill.

These days, we don’t have to wait long until the next breakthrough in artificial intelligence impresses everyone with capabilities that previously belonged only in science fiction.

In 2022, AI art generation tools such as Open AI’s DALL-E 2, Google’s Imagen, and Stable Diffusion took the internet by storm, with users generating high-quality images from text descriptions.

Continue reading “AI Might Be Seemingly Everywhere, but There Are Still Plenty of Things It Can’t Do—For Now” »

ChatGPT’s successor GPT-4 has not just passed various major exams, but has actually aced them. Elon Musk has now reacted to the news and says, ‘What will humans do?’

It will be released with a new tool called MakerSuite, which lets you prototype ideas, do prompt engineering, synthetic data generation and custom-model tuning. Waitlist available soon.