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Google’s John Mueller Answers if MUM Makes SEO Obsolete

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Google’s John Mueller Answers if MUM Makes SEO Obsolete

Google’s John Mueller responded to a Reddit discussion about whether MUM will make SEO obsolete. Given that the purpose of MUM is to provide answers from multiple languages, answers not currently answered by ten blue links, it’s not an unreasonable question to ask.

Google MUM

MUM is an acronym for Multitask Unified Model. It’s a way of answering complex questions that cannot be answered with just a few sentences in a featured snippet or with current technology.

Google refers to MUM as a significant event in the evolution of search technologies, calling it a milestone that is 1,000 times more powerful than the BERT algorithm.

Is MUM SE-Un-optimizable?

One astounding way MUM solves answers is to use the total sum of knowledge about a topic, even if that knowledge is in a different language.

Google said that it can source answers from across different languages. And that makes sense because answers in other languages may be more authoritative that the limited content produced in your local language.

In the recipe niche, an article about how to make a paella that was written in Spanish by a Spanish chef might be considered more authoritative than an article written by a stay at home mom in California who has little to no lived experience with Spanish cooking.

Who would you trust for an authentic Spanish recipe? The stay at Home Mom in California or the fourth generation Spanish chef?

Google uses the example of using native Japanese content for search queries related to hiking Mount Fuji, which can also drill down to subtopics that only a native might know about.

Keyword Based SEO?

Another feature is that MUM can find answers to questions that are a mix of images and text and provide answers to that mix.

How would an SEO optimize an answer to a question that is partially in the form of an image?

An image is not a word. It’s a representation of a thing, an entity.

Here’s what Google says:

“Eventually, you might be able to take a photo of your hiking boots and ask, “can I use these to hike Mt. Fuji?”

MUM would understand the image and connect it with your question to let you know your boots would work just fine. It could then point you to a blog with a list of recommended gear.”

In the MUM search paradigm, optimizing for keywords seems to break down because MUM is answering a complex question comprised of multiple subtopics.

Here’s how Google’s announcement explains it:

“Since MUM can surface insights based on its deep knowledge of the world, it could highlight that while both mountains are roughly the same elevation, fall is the rainy season on Mt. Fuji so you might need a waterproof jacket.

MUM could also surface helpful subtopics for deeper exploration — like the top-rated gear or best training exercises — with pointers to helpful articles, videos and images from across the web.”

It does not seem unreasonable to conclude that the above described MUM search result is drawn from multiple websites from different languages.

And if that’s the case, how would you even visualize which website is top ranked for a MUM search query when the query draws from multiple “helpful subtopics?”

  • If your primary language is English and part of your answer is from a Japanese website, is the Japanese site considered top ranked?
  • Will the blog post with the article about “top-rated gear” be the winner?
  • Or is the winner of that search query the publisher of the “best training exercises” article?
  • Can all five sites, one of which is in a foreign language, be considered top ranked?
  • Will MUM redefine what it means to be top ranked for certain search queries?

Sourcing answers from multiple websites seems like selecting five winners and breaking off five pieces of the trophy for them to take home with them.

If we accept the scenario of five sites have the opportunity to be top ranked, how would you, as an SEO, attempt to optimize for that?

Not an Unreasonable Question

We don’t know what MUM will look like once it rolls out in months or years as Google’s announcement said. We’re limited to drawing conclusions from the limited information that Google has shared.

And what they announced does not seem to fit the contours of search results as we know it.

Does that mean SEO has to adapt?

John Mueller Comments on Impact of MUM on SEO

Google’s John Mueller responded to the Reddit thread by affirming that SEO will always be needed.

Mueller’s answer referenced a joke about keyword stuffing:

“How many SEO experts does it take to change a light bulb, lightbulb, light, bulb, lamp, lighting, switch, sex, xxx, hardcore”

This is Mueller’s response:

“I don’t really see how this would reduce the need for SEO.

Things always evolve.

Remember the SEO joke about changing the lightbulb? None of that’s been necessary for a while now, which is due to developments like these, and yet, people still have enough to do as SEO.”

The Work of SEO Evolves

Mueller’s right. The nature of the work associated with SEO is under constant evolution. Some in the SEO community have a hard time changing and continue clinging to the idea of ranking for search results comprised of ten blue links.

But the truth is that the age of ten blue links has been replaced by a hybrid that is responsive to the context of the question being asked.

Google’s MUM algorithm could be said to be a way to respond to a search question with a complex context.

If the answer is best served with content originally written in Japanese or Spanish, then that may be a part of the answer.

At this point in time, given that there is no actual product, it may be premature to begin shouting that the sky is falling.

The prudent thing may be to reserve judgment until Google actually rolls out a product.

Citation

MUM Will Replace SEO?

Searchenginejournal.com

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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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