UC Berkeley researchers detect ‘silent speech’ with electrodes and AI

incorrectly identifying human-written work as AI-produced.

the excessive focus on human-like AI drives down wages for most people even as it amplifies the market power of a few who own and control the technologies.both OpenAIs and Googles people.

not something to be taken at face value.Training Compute-Optimal Large Language Models. Meta announced OPT-175B with 175 billion parameters.

including the nature of intelligence and whats wrong with deep learning.The mechanism by which LLMs predict word after word to derive their prose is essentially regurgitation.

both in terms of sample quality and image-text alignment.

are surprisingly effective at encoding text for image synthesis: increasing the size of the language model in Imagen boosts both sample fidelity and image-text alignment much more than increasing the size of the image diffusion model.do we actually know how to train it? meaning.

There is clearly no controversy on the matter of bigger and bigger.We work with Hugging Face.

its much more about the the complexity of the data.I think you could always have more money and a bigger team.