Lifeboat Foundation

OpenAI claims cyber threats are easier to detect when attackers use ChatGPT.

SandboxAQ began as Alphabet’s moonshot AI and quantum computing and now has an impressive roster of projects.

And other top trends for the coming new year from Gartner’s IT Symposium/Xpo 2024.

In today’s AI news, Anthropic’s latest Claude 3.5 Sonnet AI model has a new feature in public beta that can control a computer by looking at a screen, moving a cursor, clicking buttons, and typing text.

Anthropic’s new ‘computer use’ feature for Claude AI is now available to developers.

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultra-efficient models.

Nvidia dethroned Apple as the world’s most valuable company on Friday following a record-setting rally in the stock, powered by insatiable demand for its specialized artificial intelligence chips.

In today’s AI news, Google could preview its own take on Rabbit’s large action model concept.

Project Jarvis would take over a web browser to carry out tasks on users’ behalf.

Palantir is helping companies incorporate AI into their businesses — and one analyst says it’s succeeded ‘more than any company (not named Nvidia)’

ABOUT THE LECTURE
Animals and humans understand the physical world, have common sense, possess a persistent memory, can reason, and can plan complex sequences of subgoals and actions. These essential characteristics of intelligent behavior are still beyond the capabilities of today’s most powerful AI architectures, such as Auto-Regressive LLMs.

I will present a cognitive architecture that may constitute a path towards human-level AI. The centerpiece of the architecture is a predictive world model that allows the system to predict the consequences of its actions. and to plan sequences of actions that that fulfill a set of objectives. The objectives may include guardrails that guarantee the system’s controllability and safety. The world model employs a Joint Embedding Predictive Architecture (JEPA) trained with self-supervised learning, largely by observation.

Continue reading “Lecture Series in AI: ‘How Could Machines Reach Human-Level Intelligence?’ by Yann LeCun” »