Lifeboat Foundation

NOTE: This article was written by GPT-4 based on the code base. For more info, read this.

Abstract:

In this research, we propose a novel task-driven autonomous agent that leverages OpenAI’s GPT-4 language model, Pinecone vector search, and the LangChain framework to perform a wide range of tasks across diverse domains. Our system is capable of completing tasks, generating new tasks based on completed results, and prioritizing tasks in real-time. We discuss potential future improvements, including the integration of a security/safety agent, expanding functionality, generating interim milestones, and incorporating real-time priority updates. The significance of this research lies in demonstrating the potential of AI-powered language models to autonomously perform tasks within various constraints and contexts.

Musk warned of “stormy weather” ahead, flagged Tesla’s key challenges, and touted its Dojo supercomputer and autonomous driving tech as revolutionary.

Clearlink CEO James Clarke has drawn attention for praising an employee who gave up a family dog to return to the office, but his A.I. comments are also timely.

Hydrogen, the most abundant element in the universe, is found everywhere from the dust filling most of outer space to the cores of stars to many substances here on Earth. This would be reason enough to study hydrogen, but its individual atoms are also the simplest of any element with just one proton and one electron. For David Ceperley, a professor of physics at the University of Illinois Urbana-Champaign, this makes hydrogen the natural starting point for formulating and testing theories of matter.

Ceperley, also a member of the Illinois Quantum Information Science and Technology Center, uses computer simulations to study how hydrogen atoms interact and combine to form different phases of matter like solids, liquids, and gases. However, a true understanding of these phenomena requires quantum mechanics, and quantum mechanical simulations are costly. To simplify the task, Ceperley and his collaborators developed a machine learning technique that allows quantum mechanical simulations to be performed with an unprecedented number of atoms. They reported in Physical Review Letters that their method found a new kind of high-pressure solid hydrogen that past theory and experiments missed.

“Machine learning turned out to teach us a great deal,” Ceperley said. “We had been seeing signs of new behavior in our previous simulations, but we didn’t trust them because we could only accommodate small numbers of atoms. With our machine learning model, we could take full advantage of the most accurate methods and see what’s really going on.”

Korean automotive manufacturer “moving beyond land, sea, and air mobility to expand into space”.

Hyundai Motor Group, a leading South Korean automotive manufacturer, has announced its entry into the space exploration industry. On April 20, 2023, the company unveiled plans to build a lunar exploration rover development model, in collaboration with several Korean research institutions in the aerospace sector.

The ambitious project aims to create a versatile mobility platform capable of handling various payloads, with cutting-edge autonomous driving technology, solar charging, thermal management, and radiation shielding features. The rover is designed to carry various pieces of equipment on top of it, with a maximum weight of 70 kg.

“Astronomers are struggling to keep up with the complexity and volume of incoming exoplanetary data. The challenge is an excellent platform to facilitate cross-disciplinary solutions with AI experts.”

Fancy winning a ticket to the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) or a cash prize? Put forth your technical and artificial intelligence skills to help astronomers understand planets outside our solar system, and you just may.

The Ariel Data Challenge 2023, launched on 14 April, invites experts with an AI or machine learning background from industry and academia.

Google’s conversation AI tool Bard can now help software developers with programming, including generating code, debugging and code explanation — a new set of skills that were added in response to user demand.

Coding has been one of the top requests Google has received from users, according to a Friday blog post by Google Research product lead Paige Bailey.

Google said Friday it is launching these software development capabilities in more than 20 programming languages including C++, Go, Java, JavaScript, Python and TypeScript. Users can export Python code to Google Colab. Bard can also help with writing functions for Google Sheets.

Mini GPT 4 has visual understanding abilities to carry out reasoning from pictures and complete numerous next gen AI tasks all before OpenAI releases their own visual modality. Nvidia unveils next gen text to video artificial intelligence model that can be customized.

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Try Mini GPT 4 here: https://minigpt-4.github.io/

Continue reading “Mini GPT 4 AI SHOCKS Entire Industry w/ 3 Next Gen Vision Abilities + NVIDIA LDM” »

This group might appreciate this new show about fighting the AI overlord, lol:

Mrs. Davis is streaming April 20th on Peacock: https://pck.tv/3IMMtIP

Continue reading “Mrs. Davis | Official Trailer | Peacock Original” »