Lifeboat Foundation

With the rise of AI, we’re abstracting complexity by embracing technologies that resonate with human intuition. Take ChatGPT, for instance. We can simply articulate our goals in plain English, and it generates code for provisioning the infrastructure accordingly.

Another approach is using visualization. For example, with Brainboard, you can draw your cloud infrastructure, and the necessary deployment and management code is automatically generated.

These examples illustrate the next-generation software and mindset. The shift is happening now, and the next set of tools will be adapted and optimized for humans.

Unlike most organizations, OpenAI says it is run as a “capped-profit” company where its for-profit arm is governed by a nonprofit.

For humanity’s sake, regulation is needed to tame market forces, argue Helen Toner and Tasha McCauley.

2BP

2-Stage Backpropagation.

As Deep Neural Networks (DNNs) grow in size and complexity, they often exceed the memory capacity of a single accelerator, necessitating the sharding of model parameters across multiple accelerators.

Continue reading “2BP: 2-Stage Backpropagation” »

A research team at Stanford’s Wu Tsai Neurosciences Institute has made a major stride in using AI to replicate how the brain organizes sensory information to make sense of the world, opening up new frontiers for virtual neuroscience.

The Kia EV3 — the new all-electric compact SUV revealed Thursday — illustrates a growing appetite among global automakers to bring generative AI into their vehicles.

The automaker said the Kia EV3 will feature a new voice assistant that is built off ChatGPT, the text-generating AI chatbot developed by OpenAI. The Kia EV3, and its AI assistant, will first come to market in Korea in July 2024, followed by Europe in the second half of the year. Kia expects to expand sales of the vehicle into other regions following the European launch. It will eventually come to the United States, although the automaker did not provide a date.

This isn’t, however, a pure OpenAI affair. Kia had its hands in the development of the voice assistant too.

New technology is shaping the toy industry by making manufacturing more efficient and the toy playing experience more immersive.

Modern smart toys, designed to provide a more immersive experience, often feature artificial intelligence (AI), Bluetooth connectivity, and sensors. These could include toys such as educational tablets that adapt to a child’s learning pace or robotic animals that can respond to voice commands.

Current AI training methods burn colossal amounts of energy to learn, but the human brain sips just 20 W. Swiss startup FinalSpark is now selling access to cyborg biocomputers, running up to four living human brain organoids wired into silicon chips.

The human brain communicates within itself and with the rest of the body mainly through electrical signals; sights, sounds and sensations are all converted into electrical pulses before our brains can perceive them. This makes brain tissue highly compatible with silicon chips, at least for as long as you can keep it alive.

Continue reading “Living brain-cell biocomputers are now training on dopamine” »

Despite their performance, current AI models have major weaknesses: they require enormous resources and are indecipherable. Help may be on the way.

By Manon Bischoff

ChatGPT has triggered an onslaught of artificial intelligence hype. The arrival of OpenAI’s large-language-model-powered (LLM-powered) chatbot forced leading tech companies to follow suit with similar applications as quickly as possible. The race is continuing to develop a powerful AI model. Meta came out with an LLM called Llama at the beginning of 2023, and Google presented its Bard model (now called Gemini) last year as well. Other providers, such as Anthropic, have also delivered impressive AI applications.