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Google Has Moved Away From 200 Ranking Signals Number via @sejournal, @martinibuster

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In a Google SEO Office Hours Hangout, Google’s John Mueller revealed that Google has “moved away from the 200 ranking signals number.” He said that having a number like that is misleading.

Mueller said it’s not the case that the ranking signals can be sorted and ranked as a list on a spreadsheet.

Google Ranking Signals

In the distant past various HTML elements were used by Google’s algorithms for identifying what a web page is about. HTML elements like the page title, headings and font sizes were given extra importance, as well as the location of keywords on a web page (top of the page more important) and links and the anchor text associated with those links.

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These were collectively known as ranking factors.

A web page literally needed to have all of these ranking factors filled out with keywords in order to rank properly.

Many of those ranking factors were described in Google’s first Stanford University research paper from 1998, The Anatomy of a Large-Scale Hypertextual Web Search Engine.

It’s been over twenty years and while many still cling to the idea of ranking factors, Google itself has evolved beyond ranking factors and incorporates things like Natural Language Processing, BERT, Neural Matching and AI spam fighting, and many other algorithms.

Not only that but by 2005 Google was already incorporating statistical analysis to identify normal sites and sites that were outliers and tended to be spam.

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Statistical analysis is not a ranking factor in the traditional sense but it played a role in ranking.

A case can arguably be made that the paradigm of 200+ ranking factors was breaking down as early as 2005.

While in the past the idea of scoring points against a list of ranking factors made sense, in 2021 the idea of a list of ranking factors to focus on for better rankings has somewhat lost relevance because of how search rankings are calculated in modern search engines today.

Which Ranking Factors are Most Important?

Someone from the search community asked John Mueller which of the ranking factors was most important.

Ordinarily Googlers have in the past mentioned that the content is the most important ranking factor. But not today.

The person asked which ranking factors are most important:

“Among all of the 200 ranking signals, which are the most important?”

Mueller answered:

“I don’t like to rank ranking signals. So I can’t give you an answer there.

And… the other small thing there is we’ve kind of moved away from the over 200 ranking signals number, because it feels like even having a number like that is kind of misleading in the sense that, Oh Google has a spreadsheet with all of the ranking signals and they can just sort them by importance and tell me which ones they are.

And that’s definitely not the case.

Like… a lot of these things just take into account so many different things, you can’t just isolate them out.”

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No More Top Ranking Factors?

Mueller said that it’s not the case that ranking signals could be listed and sorted by importance and that the factors cannot be isolated out.

Mueller didn’t elaborate beyond that. But it’s easy to understand how complicated Google’s search engine is today.

For example, the MUM algorithm can take images as an input (no keywords!) and provide an answer sorted from web pages around the world, regardless of language.

How would a general ranking factor like links or keywords in title even work in a scenario like that?

John Mueller has given the search community a deep insight into ranking factors by stating that the signals cannot be listed and sorted by importance because the search community believes that ranking factors can be sorted and ranked.

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Citation

Google’s Moved Away from 200 Ranking Signals Number

Watch John Mueller answer the question at the 49:47 minute mark:

[embedded content]

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We asked ChatGPT what will be Google (GOOG) stock price for 2030

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We asked ChatGPT what will be Google (GOOG) stock price for 2030

Investors who have invested in Alphabet Inc. (NASDAQ: GOOG) stock have reaped significant benefits from the company’s robust financial performance over the last five years. Google’s dominance in the online advertising market has been a key driver of the company’s consistent revenue growth and impressive profit margins.

In addition, Google has expanded its operations into related fields such as cloud computing and artificial intelligence. These areas show great promise as future growth drivers, making them increasingly attractive to investors. Notably, Alphabet’s stock price has been rising due to investor interest in the company’s recent initiatives in the fast-developing field of artificial intelligence (AI), adding generative AI features to Gmail and Google Docs.

However, when it comes to predicting the future pricing of a corporation like Google, there are many factors to consider. With this in mind, Finbold turned to the artificial intelligence tool ChatGPT to suggest a likely pricing range for GOOG stock by 2030. Although the tool was unable to give a definitive price range, it did note the following:

“Over the long term, Google has a track record of strong financial performance and has shown an ability to adapt to changing market conditions. As such, it’s reasonable to expect that Google’s stock price may continue to appreciate over time.”

GOOG stock price prediction

While attempting to estimate the price range of future transactions, it is essential to consider a variety of measures in addition to the AI chat tool, which includes deep learning algorithms and stock market experts.

Finbold collected forecasts provided by CoinPriceForecast, a finance prediction tool that utilizes machine self-learning technology, to anticipate Google stock price by the end of 2030 to compare with ChatGPT’s projection.

According to the most recent long-term estimate, which Finbold obtained on March 20, the price of Google will rise beyond $200 in 2030 and touch $247 by the end of the year, which would indicate a 141% gain from today to the end of the year.

2030 GOOG price prediction: Source: CoinPriceForecast

Google has been assigned a recommendation of ‘strong buy’ by the majority of analysts working on Wall Street for a more near-term time frame. Significantly, 36 analysts of the 48 have recommended a “strong buy,” while seven people have advocated a “buy.” The remaining five analysts had given a ‘hold’ rating.

1679313229 737 We asked ChatGPT what will be Google GOOG stock price
Wall Street GOOG 12-month price prediction: Source: TradingView

The average price projection for Alphabet stock over the last three months has been $125.32; this objective represents a 22.31% upside from its current price. It’s interesting to note that the maximum price forecast for the next year is $160, representing a gain of 56.16% from the stock’s current price of $102.46.

While the outlook for Google stock may be positive, it’s important to keep in mind that some potential challenges and risks could impact its performance, including competition from ChatGPT itself, which could affect Google’s price.


Disclaimer: The content on this site should not be considered investment advice. Investing is speculative. When investing, your capital is at risk.

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This Apple Watch app brings ChatGPT to your wrist — here’s why you want it

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Apple Watch Series 8

ChatGPT feels like it is everywhere at the moment; the AI-powered tool is rapidly starting to feel like internet connected home devices where you are left wondering if your flower pot really needed Bluetooth. However, after hearing about a new Apple Watch app that brings ChatGPT to your favorite wrist computer, I’m actually convinced this one is worth checking out.

The new app is called watchGPT and as I tipped off already, it gives you access to ChatGPT from your Apple Watch. Now the $10,000 question (or more accurately the $3.99 question, as that is the one-time cost of the app) is why having ChatGPT on your wrist is remotely necessary, so let’s dive into what exactly the app can do.

What can watchGPT do?

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Discord goes all in with AI: chatbots, automods, whiteboards and more

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Discord goes all in with AI: chatbots, automods, whiteboards and more

AI is the future, at least over on Discord.

The messaging application originally made for gamers has become Gen Z’s favorite online hangout destination of choice, and now it’s rolling out a number of features powered by artificial intelligence.

In an announcement(Opens in a new tab) on Thursday, Discord shared what’s coming to the platform soon: an AI chatbot, an automated AI moderator, a conversation summarizer, an avatar remixer, and a whiteboard. Some of these features begin rolling out today, March 9. Others will launch in the coming weeks and months.

While AI has jumped into the mainstream thanks to the popularity of OpenAI’s ChatGPT chatbot, Discord has had an active AI community for quite a while now. According to the company, third-party AI apps already on the platform already have more than 30 million monthly users. Nearly 3 million servers on Discord have some AI element integrated into the community.

In fact, the biggest community on Discord is Midjourney, a text-to-image AI project which allows users to generate art from right within the server. Discord says Midjourney’s server has more than 13 million members.

So, with AI being such an integral part of Discord already, it seemed like only a matter of time before Discord itself started bringing AI directly into the platform.

images

AutoMod AI
Credit: Discord

The first feature coming to some Discord servers as soon as today is AutoMod AI. Discord already has an AutoMod feature, which basically automatically moderates rooms for admins based on the rules of the server. Discord has now integrated OpenAI-powered AI into AutoMod, allowing it to search the server and contact moderators when it thinks rules are possibly being broken. According to Discord, AutoMod AI can also consider the context of a conversation so, for example, users don’t get penalized for posts that are misconstrued.

Clyde is a bot that Discord users may already be familiar with, and starting next week, Clyde is getting an AI upgrade. Currently, the Clyde bot provides information, such as server error messages, and also responds to timeout or ban requests from users and mods. However, that’s pretty much all Clyde was able to do. Until now.

Clyde chatbot

Clyde
Credit: Discord

Clyde will now be able to answer all sorts of questions from users, much like OpenAI’s ChatGPT chatbot. Users simply have to type “@Clyde” followed by their prompt. Clyde will be able to pull up information and also help find specific emojis or GIFs based on a user’s description.

Another AI feature coming to Discord next week is Conversation Summaries. Again, the name is fairly descriptive of what it does. With users all over the world, many Discord channels are always moving regardless of time of day. Conversation Summaries will allow users to catch up on what they missed on a Discover Server. The AI-powered feature will “bundle” chats into topics so users can easily read up on what they find most interesting.

Conversation Summaries

Conversation Summaries
Credit: Discord

Starting today, developers can start playing with Avatar Remix, an open-source Discord app that integrates AI art into the messaging app. Avatar Remix allows users to take a fellow user’s avatar and change it up “using the power of generative image models.” What does that mean? In the demo that Discord showed Mashable, a user was able to add a party hat or a mustache to a friend’s avatar by simply mentioning their username and describing what changes they’d like to make.

Avatar Remix

Avatar Remix
Credit: Discord

The company is also launching an “AI incubator,” offering support for developers creating AI-powered apps on Discord.

Finally, Discord revealed a feature that’s coming soon that has long been requested by the Discord community: a whiteboard. But, of course, this won’t be just any collaborative whiteboard feature. It’s going to be AI-powered, allowing users to collaborate in generating AI art and more.

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