Lifeboat Foundation

Leaks show that OpenAI will be unveiling major updates to ChatGPT at its developer conference on 6 November. These include custom chatbots, a business subscription, and connections to Google and Microsoft.

OpenAI’s first-ever developer conference will take place on the 6th of November, where the company plans to unveil a number of updates. Leaks now show that these will include a new interface for ChatGPT as well as completely new features.

OpenAI introduces custom chatbots via Gizmo.

New research in social bats raises the intriguing possibility that evolution can reprogram the brain’s “place cells,” which are typically associated with location, to encode all kinds of environmental information.

The most secure RSA encryption can now be cracked using a smartphone or PC, according to a new highly-contested scientific paper.

With “Grok”, Elon Musk introduces a chatbot built with “X” data for “X” premium users. In contrast to OpenAI with ChatGPT, Musk gives the chatbot more creative leeway in its responses.

Musk and his company describe Grok as a humorous, witty, and rebellious chatbot that can answer almost any question. Grok uses its model knowledge based on Internet and X data, as well as real-time information from X, to provide answers. According to xAI, the chatbot also answers “spicy questions” that would be rejected by most other AI systems.

Researchers present RoboGen, a generative robotic agent that automatically learns new skills in a generative simulation.

The work by researchers from CMU, Tsinghua IIIS, MIT CSAIL, UMass Amherst, and the MIT-IBM AI Lab aims to leverage recent advances in generative AI to generate infinite training data for automated robot learning.

According to the team, RoboGen is a generative robotic agent that learns various robotic tasks automatically and en masse through generative simulation. The team is using existing foundation models, such as OpenAI’s GPT-4, to “automatically generate diversified tasks, scenes, and training supervisions, thereby scaling up robotic skill learning with minimal human supervision.”

They re already trainin this AI to drink, smoke cigars, and play golf. Agi almost achieved!

An AI bot proved it was capable of insider trading and lying about its actions, researchers found. The findings were presented at this week’s UK AI Safety Summit. An.

Imagine you’re visiting a friend abroad, and you look inside their fridge to see what would make for a great breakfast. Many of the items initially appear foreign to you, with each one encased in unfamiliar packaging and containers. Despite these visual distinctions, you begin to understand what each one is used for and pick them up as needed.

Inspired by humans’ ability to handle unfamiliar objects, a group from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) designed Feature Fields for Robotic Manipulation (F3RM), a system that blends 2D images with foundation model features into 3D scenes to help robots identify and grasp nearby items. F3RM can interpret open-ended language prompts from humans, making the method helpful in real-world environments that contain thousands of objects, like warehouses and households.

F3RM offers robots the ability to interpret open-ended text prompts using natural language, helping the machines manipulate objects. As a result, the machines can understand less-specific requests from humans and still complete the desired task. For example, if a user asks the robot to “pick up a tall mug,” the robot can locate and grab the item that best fits that description.

New computational techniques, “HighLight” and “Tailors and Swiftiles,” could dramatically boost the speed and performance of high-performance computing applications like graph analytics or generative AI. The work, from MIT and NIVIDIA, aims to accelerate sparse tensors for AI models by introducing more efficient and flexible ways to take advantage of sparsity.

A tangle of silver nanowires may pave the way to low-energy real-time machine learning.