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.
NEWS
YouTube Shares 3 Keyword Research Tips For Videos

YouTube offers advice on competitive keyword research for videos, and answers a number of other questions about its search and discovery algorithm.
In what has become a regular series on YouTube’s Creator Insider channel, a member of the search and discovery team fields questions from users in the first upload of the year.
One of those questions focuses on keyword research and how to gauge which video topics will resonate with users.
Here’s a recap of the questions and answers, starting first with the keyword research question.
YouTube Keyword Research
When researching which keywords to use in a video, what is a good way to gauge the likelihood that it will be surfaced in users’ recommendations?
YouTube recommends these three tactics for keyword research:
- Audience Insights
- Google Trends
- Competitive Analysis
Audience Insights
Within YouTube Analytics is an Audience Insights card that shows creators what other videos their audience is watching.
This can be a useful source for keyword research as you may discover new topics your viewers are interested in that you hadn’t considered before.
Creators should pay close attention to titles and thumbnails of videos surfaced in the Audience Insights card. Analyze the similarities as a way to guide the optimization of your next videos.
Google Trends
This one may be obvious to SEOs, but YouTube recommends Google Trends as a way to stay informed about which topics are popular right now.
With Google Trends you can enter multiple topics and compare their popularity over time to see which once is currently generating the most interest.
Let’s take two enormously popular topics on YouTube: Roblox and Minecraft. Which is more popular right now? Let’s take a look.
You can see how there was a time in September 2020 where the two topics were equally popular, but now the gap has widened and Minecraft is generating the most interest. It looks like Roblox is even declining in popularity.
If you have a few topics in mind and can’t decide which one should be the focus of your next video, Google Trends can help inform your decision.
Competitive Analysis
Another tactic SEOs are familiar with is competitive analysis. This involves entering keywords in YouTube’s search bar and seeing what you can learn from the most successful videos.
Analyze aspects such as titles, thumbnails, descriptions, intros, use of video chapters, ad placement, and so on.
Your goal is to determine not only what encourages users to click on the video, but what keeps them watching until the end.
Other Algorithm Questions
YouTube addresses several additional questions about its algorithm. Here’s a summary of everything else that’s discussed.
Upload Frequency
Is it better to publish videos regularly? Or is it acceptable to let large gaps of time elapse between video uploads?
Ideal upload frequency depends more on the viewers and how much content they’re willing to watch. There’s audiences who enjoy binge-watching content, and others who would prefer to watch a video every few days.
As it relates to YouTube’s discovery algorithm, there’s no single approach that’s going to work for all channels. The algorithm is designed to surface videos based on how users respond when they see those videos in their recommendations.
If you upload content on a regular basis, but those videos go unwatched by a majority of your audience, then that may impact how the algorithm surfaces your videos in the future.
YouTube recommends experimenting to see what works best for your specific audience. Then cater to their viewing habits based on what you learn.
Monetization
Is it true that monetized videos have a greater likelihood of being recommended over non-monetized videos?
YouTube’s search and recommendation system is not able to identify which videos are monetized and which ones aren’t. The advertising and discovery systems are separate from each other.
To answer the question – no, monetization has no impact on which videos are recommended to users. Channels can even turn off monetization temporarily without any impact to video performance.
Taking Breaks From Uploading
Is it okay for video creators to take breaks from uploading videos? Will a channel get hurt algorithmically if there’s an extended length of time between new content being published?
It’s perfectly fine for creators to take breaks. YouTube actively encourages it and cites data to back this up.
YouTube analyzed 40,000 upload breaks that lasted between 8 and 60 days. It found there’s no correlation between upload breaks and a consistent loss of viewership.
Many channels even received higher viewership after taking a break. YouTube’s study found 25% of channels that took a break grew their viewership by 50% after they returned.
There’s no algorithmic penalty for taking a break, and data suggests the longer the break the more positive the change in views. Creators should not feel pressured to upload daily or weekly.
If you’re trying to find an ideal time to take a break, YouTube notes that many creators take breaks in January because that’s when advertising budgets tend to run dry.
For more, see the full video below:
NEWS
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.
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.

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

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.
NEWS
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.
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
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
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
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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