Lifeboat Foundation

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.

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The illusion of AI consciousness: why gpt-4o and other chatbots are not conscious.

• Shannon Vallor, an AI expert and contributor to DeepMind, discusses the latest developments in generative AI, particularly OpenAI’s GPT-4o model, and warns of the dangers of the illusion of artificial consciousness.

Continue reading “The dangerous illusion of AI consciousness” »

OpenAI’s “next frontier model” is expected to replace the GPT-4 model powering ChatGPT.

LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters.

https://huggingface.co/papers/2405.

A good initialization of deep learning models is essential since it can help them converge better and faster.

Continue reading “Paper page — LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters” »

Synthetic biology has been game-changing and with generative artificial intelligence, generative biology holds immense potential; let’s just speed it up.

How can rapidly emerging #AI develop into a trustworthy, equitable force? Proactive policies and smart governance, says Salesforce.

These initial steps ignited AI policy conversations amid the acceleration of innovation and technological change. Just as personal computing democratized internet access and coding accessibility, fueling more technology creation, AI is the latest catalyst poised to unlock future innovations at an unprecedented pace. But with such powerful capabilities comes large responsibility: We must prioritize policies that allow us to harness its power while protecting against harm. To do so effectively, we must acknowledge and address the differences between enterprise and consumer AI.

Enterprise versus consumer AI

Continue reading “How AI is poised to unlock innovations at unprecedented pace” »

At the South Korean tech giant’s headquarters, people can get a unique Starbucks experience with 100 robots serving customers daily.