why woykd you say they are on "red alert"? Sounds like lazy investors pumping or dumping to me.
Google already has very large LLMs online for search and other applications.
A similar take on similar spin: https://twitter.com/westurner/status/1614002846394892288
From April 2022, "Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance" https://ai.googleblog.com/2022/04/pathways-language-model-pa... :
> In recent years, large neural networks trained for language understanding and generation have achieved impressive results across a wide range of tasks. GPT-3 first showed that large language models (LLMs) can be used for few-shot learning and can achieve impressive results without large-scale task-specific data collection or model parameter updating. More recent LLMs, such as GLaM, LaMDA, Gopher, and Megatron-Turing NLG, achieved state-of-the-art few-shot results on many tasks by scaling model size, using sparsely activated modules, and training on larger datasets from more diverse sources. Yet much work remains in understanding the capabilities that emerge with few-shot learning as we push the limits of model scale.
> […] More recent LLMs, such as GLaM, LaMDA, Gopher, and Megatron-Turing NLG, achieved [SOTA] few-shot results on many tasks by scaling model size, using sparsely activated modules, and training on larger datasets from more diverse sources. Yet much work remains [for few-shot LLMs] /2
DeepMind Dreamerv3 is more advanced than all the LLMs.