Google's Bard Falls Behind OpenAI's GPT-4: Ethical Concerns and Competition from Microsoft
This article is a summary of a YouTube video "What's Up With Bard? 9 Examples + 6 Reasons Google Fell Behind [ft. Muse, Med-PaLM 2 and more]" by AI Explained
TLDR Google's language model, Bard, falls behind OpenAI's GPT-4 due to various limitations, and Google's AI investments and language models are facing ethical concerns and competition from Microsoft.
Google's Bard model falls behind OpenAI's GPT-4 due to six reasons, including Bard's poor summarization skills and GPT-4's inability to access the web.
The article's summary is inaccurate and irrelevant, with errors in interest rates, employment, and inflation figures.
Bard AI has potential for content creation, but its current outputs lack originality and detail.
Using language models for emails is risky and inefficient, and it's unlikely to become a common practice; Bard went off-topic while rewriting a personal statement.
Bing struggles with rewriting and Bard fails to answer a basic physics question, while Gpt4 performs better but still has some errors.
Google's top researchers have left and its new AI language model, Bard, has unclear use cases, raising questions about the company's AI investments.
Google's Muse AI model creates impressive images from text, but won't be released due to concerns about misuse.
Google may have a better language model than Bard and Palm, but ethical concerns may prevent them from publishing papers on it, and they have released a new and improved language model called Medpalm 2 with 85% accuracy on medical exams, while Microsoft's access to valuable training data from products like Bard poses a threat to Google.