a big company that helps people with things they can't do gave them more money so they can make even more things that are really hard to do. Read from source...

1. OpenAI’s ChatGPT is the fastest-growing consumer application in history, as it was estimated to have reached 100 million monthly active users within two months of launch.

- This is a highly speculative and unverified claim, with no credible source or data to back it up.

2. The company was seeing an average of about 13 million unique visitors per day at that time, per Reuters.

- Again, no actual data is provided to substantiate this claim. It's also questionable how Reuters would have access to such precise user data from a private company like OpenAI.

3. OpenAI said Wednesday that more than 250 million people across the globe are currently using ChatGPT daily to enhance their work, creativity and learning.

- This claim is also unsupported by any actual data, and it contradicts the claim in the previous sentence that the platform only had an average of 13 million unique visitors per day.

4. According to a Bloomberg report citing people familiar with the matter, OpenAI’s new funding deal is one of the largest private investments ever alongside SpaceX and TikTok parent ByteDance.

- The Bloomberg report is not provided or referenced, and the claim is unverified.

5. The funding was reportedly led by Thrive Capital. Previous reports suggested the venture capital firm would invest at least $1 billion. OpenAI was also reportedly in funding talks with Apple Inc AAPL, Nvidia Corp NVDA and Microsoft Corp MSFT.

- This is another unverified claim that lacks supporting evidence or a reliable source.

6. Apple ended up pulling out of discussions early, but separate reports suggested SoftBank was looking to step into the deal.

- Again, these claims are unsupported by any actual evidence or sources.

7. Microsoft has been the main backer of OpenAI to date, having invested $13 billion in the AI company over the past five years.

- This statement is contradicted by the earlier claim that the recent funding round raised $6.6 billion, which would mean Microsoft's investment was less than 22% of the total.

8. After Apple Reportedly Backed Out, SoftBank Eyes $500M Investment In ChatGPT Parent, Pushing Valuation To $150B

- The headline is misleading and lacks context, implying that SoftBank's $500 million investment would be the sole factor in pushing OpenAI's valuation to $150 billion.

The overall tone of the article is sensationalist and speculative, with little to no supporting evidence or credible

neutral

### AI-Signal's Sentiment: neutral

The Sentiment Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Score:

The Sentiment Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Trend:

The Trend Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Volume:

The Volume Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Pattern:

The Pattern Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Structure:

The Structural Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Emotions:

The Emotional Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Sentences:

The Sentence Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Words:

The Word Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Tone:

The Tone Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Sources:

The Source Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Mood:

The Mood Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Sense:

The Sense Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Memory:

The Memory Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text.


### AI-Signal's Temperature:

The Temperature Analysis Machine Learning model categorizes the sentiment of the article as neutral based on the language and context of the text