Lifeboat Foundation

Still, ChatGPT operates in a mostly siloed fashion. It can’t yet venture out “into the wild” to execute online tasks. For example, if you wanted to buy a milk frother on Amazon for under $100, ChatGPT might be able to recommend a product or two, and even provide links, but it can’t actually navigate Amazon and make the purchase.

Why? Besides obvious concerns, like letting a flawed AI model go on a shopping spree with your credit card, one challenge lies in training AI to successfully navigate graphical user interfaces (GUIs), like your laptop or smartphone screen.

But even the current version of GPT-4 seems to grasp the basic steps of online shopping. That’s the takeaway of a recent preprint paper in which AI researchers described how they successfully trained a GPT-4-based agent to “buy” products on Amazon. The agent, dubbed the MM-Navigator, did not actually purchase products, but it was able to analyze screenshots of an iOS smartphone screen and specify the appropriate action and where it should click, with impressive accuracy.

“The fear is that they can’t afford to let someone else get there first,” said Scott Jenson, a UX designer who left Google last month.

Apptronik, a NASA-backed robotics company, has unveiled Apollo, a humanoid robot that could revolutionize the workforce — because there’s virtually no limit to the number of jobs it can do.

“The focus for Apptronik is to build one robot that can do thousands of different things,” Jeff Cardenas, the company’s co-founder and CEO, told Freethink. “The best way to think of it is kind of like the iPhone of robots.”

Continue reading “NASA partner unveils the ‘iPhone’ of robots” »

The boom in AI funding rounds requiring a lot of capital at speed has increased attention to funding via SAFE notes.

NVIDIA has accelerated its GPU, CPU & AI roadmap significantly as stated by CEO, Jensen Huang, during the latest earnings call.

NVIDIA Will Be Launching Next-Gen GPUs, CPUs & AI Solutions Much Faster Than Everyone Else, Shifts To A 1-Year Cadence Instead of 2-Year

NVIDIA’s current roadmap includes the likes of Hopper H200 and its follow-up Blackwell in B100 & B200 GPUs. The company also previously teased X100 GPUs though we know from recent reports that the actual next-gen architecture comes as the Rubin “R100” series which looks like a major breakthrough for the company based on the specs, performance, and efficiency data that has been laid out.

Researchers from TU Delft and Brown University have engineered string-like resonators capable of vibrating longer at ambient temperature than any previously known solid-state object—approaching what is currently only achievable near absolute zero temperatures. Their study, published in Nature Communications, pushes the edge of nanotechnology and machine learning to make some of the world’s most sensitive mechanical sensors.

ESA’s newly graduated astronauts reach the end of one year of rigorous basic astronaut training. Discover the journey of Sophie Adenot, Rosemary Coogan, Pablo Álvarez Fernández, Raphaël Liégeois, Marco Sieber, and Australian Space Agency astronaut candidate Katherine Bennell-Pegg. Selected in November 2022, the group began their training in April 2023.

Basic astronaut training provides the candidates with an overall familiarisation and training in various areas, such as spacecraft systems, spacewalks, flight engineering, robotics and life support systems as well as survival and medical training. They received astronaut certification at ESA’s European Astronaut Centre on 22 April 2024.

Continue reading “A year in training: ESA’s new astronauts graduate” »

A former Facebook director is praising AI’s prowess, likening the technology’s co-pilot coding ability to a religious experience.

In a Thursday post on X, Aditya Agarwal attempted to describe the feeling of coding alongside a large language model co-pilot.

Although this is still an emerging area of research, a new study has announced a leap. Researchers from the Center for Neuromorphic Engineering at the Korea Institute of Science and Technology (KIST) have implemented an integrated hardware system consisting of artificial neurons and synaptic devices using hexagonal boron nitride (hBN) material.

They aimed to construct building blocks of neuron-synapse-neuron structures that can be stacked to develop large-scale artificial neural networks.

Continue reading “Neural networks: What it takes to build brain-like computers” »