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 Reveals New Details About its Algorithm

New information about how various factors influence YouTube’s video recommendation algorithm is revealed by members of the team responsible for working on it.
Having only been implemented in 2016, we still have a rudimentary of how YouTube’s machine learning algorithm works.
We know video recommendations are influenced by factors such as clicks, watch time, likes/dislikes, comments, freshness, and upload frequency.
We do not know, for example, whether external traffic has any impact on video recommendations.
It’s also not known whether underperforming videos will affect the likelihood of future videos being recommended.
The impact of other potentially negative factors, such as inactive subscribers or too-frequent uploads, is not known either.
Those are the factors YouTube’s team discusses in a new Q&A video about the recommendation algorithm. Here is a summary of all questions and answers.
Underperforming Videos
If one of my videos under-performs, is that going to hurt my channel? Could a few poor videos pull down better videos in the future?
YouTube doesn’t make assessments about a channel as a whole based on the performance of a few videos.
YouTube only cares about how people are responding to a given video when deciding whether to recommend it to others.
The recommendation algorithm is always going to be “following the audience.”
If a video is attracting an audience then it will show up in users’ recommendations regardless of how the channel’s previous videos performed.
Channels shouldn’t be concerned about some kind of algorithmic demotion based on a dip in viewership.
It’s normal for the performance of videos to fluctuate in terms of views and other metrics. So YouTube is careful not to have all of its recommendations driven by those metrics.
Too Many Uploads Per Day
Is there a point at which the number of videos per day/week on each channel is so high that the algorithm is overwhelmed and videos slip through?
There is no limit to how many videos can be recommended to a given viewer from a channel in a single day.
Channels can upload as much as they want. How many views each video receives comes down to viewer preferences.
YouTube’s recommendation system will continue to recommend videos as long as viewers continue to watch them.
If a channel is uploading more videos than usual, and each video is getting progressively fewer views, that may be a sign the audience is getting burned out.
While there is no limit to how many videos YouTube will recommend from a channel in a single day, there is a limit to how many notifications will be sent out.
YouTube only allows 3 notifications per channel in a 24 hour period.
Inactive Subscribers
My channel has been around for quite a few years and I think I may have lots of inactive subscribers. Should I create a new channel and then re-upload the videos in order to appear more acceptable to the algorithm?
Inactive subscribers is not a factor impacting YouTube’s recommendation algorithm.
This goes back to the first question where YouTube says it is algorithm follows the audience.
A channel with inactive subscribers can still get its next video shown in the recommendations section if it attracts an audience.
Creating a new channel and re-uploading the same videos will not help with getting those videos shown to more people.
YouTube remembers viewer preferences, so there’s little chance of reaching those inactive subscribers with a new channel.
Creators should only start a new channel if they decide to go in a different direction with their content.
External Traffic
How important is external traffic?
External traffic is definitely a factor that influences YouTube’s recommendation algorithm.
However, its influence only extends so far.
External traffic can help get a video shown in the recommendations section. But once it’s there it has to perform well with viewers.
Long term success of a video depends on how people respond after clicking on it in their recommendations.
I’m getting lots of traffic from external websites which is causing my click-through-rates and average view durations to drop, is this going to hurt my video’s performance?
YouTube says it’s not a problem if average view duration drops when a video receives a significant amount of external traffic.
Apparently it’s common for this to happen, and it has no impact on a video’s long-term success.
Again, YouTube’s algorithm cares more about viewers engage with a video after clicking on it in their recommendations.
The algorithm is not concerned with what viewers do after clicking on a video from an external website or app.
To hear any of these points explained in more detail, 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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