This is to the benefit of savvy users as it makes it possible to run tasks in a longer timeframe without worrying that the terminal will be down for updates.

Visual updates

One of the visual updates in this release is the addition of more line types that can be displayed. Users will now be able to display colored, dashed, dotted, or double lines.

But that’s not all. The company has also added updates to the way search results are displayed in Windows Terminal. For example, when searching for text in it, the results will now be highlighted.

Windows Terminal also got several usability updates, such as that the AtlasEngine rendering engine is now enabled by default, the “Canary” ZIP distribution defaults to portable mode, readability of settings disclaimers is improved, and more.

And for those of you who prefer a more vintage experience, the console host in the Canary channel of the Windows Insider Program now ships with features, bug fixes and updates equivalent to the version that comes with Windows Terminal 1.19.

You can see the full list of updates on the Microsoft blog here.

Musk was again criticized for endorsing a false claim on Nov. 15 by a user who claimed that Jews promote hostility against white people, citing the “Great Replacement” conspiracy theory. Musk described that post as the worst ever on Platform X.

Rejecting accusations of anti-Semitism, the billionaire confronted the advertisers who have left X, dismissing the idea that they could blackmail him by using harsh language directed at them to make a point. One of the companies that stopped its ads on the former Twitter is Walt Disney.

Amidst the ongoing controversy, Musk made a visit to Israel and toured the site of Hamas’ assault on October 7. He participated in a live-streamed conversation with Israeli Prime Minister Benjamin Netanyahu on X, reiterating his strong stance against antisemitism and hate speech on the platform.

During the discussion, Netanyahu encouraged Musk to strike a balance between preserving online free speech and combating hate speech. Musk clarified that his trip to Israel had been planned independently of the controversy surrounding his message on X. The two leaders had previously met at Tesla’s headquarters in California in September to discuss advanced artificial intelligence.

The founder Jack Dorsey and former Chief Executive Officer said he has deleted his Instagram account and switched to “Meta free”.

“Deleted my instagram account after 12 years. was one of the first 10 accounts I believe, and one of the first angel investors”, Dorsey wrote in a Twitter post.

Why is it so important?
Dorsey’s decision managed to get the attention of Elon Musk, who commented on the post with a fire emoji.

He doesn’t like you, Mark
We remind you of the latest incident that proves that Dorsey is not among Mark’s fans. In July, after the launch of Meta’s Threads, Zuckerberg sent a request to Dorsey about following the new platform, but the response surprised everyone. Not long after, Dorsey posted a screenshot onTwitter showing Zuckerberg’s request to follow him. However, he did not respond to the request, terming it as “too soon”.

Dorsy’s recent decision to delete her Instagram account has left users wondering if she will continue to be a part of Twitter.

With the development of artificial intelligence technology, social media provides us with information that without technology is difficult to get our hands on. There are many artificial intelligence tools on the market that help with social media management, content creation, analytics, ads, and much more.

Artificial intelligence can take on many of the time-consuming and monotonous tasks associated with social media. In this way, AI frees up teams by helping them focus on other more important tasks. In this regard, today we have chosen to introduce you to the top 5 best AI tools for social media that Analytics Insights has informed us about.

Top 5 Best AI Tools for Social Media

Flick
Flick enables you to create social media content faster and at scale. Users can craft highly personal and on-brand captions 10x faster than before. Instead of spending hours coming up with content ideas, the Assistant can help you generate original and engaging content ideas based on the topics you enter within seconds.

Crafting unique captions can be challenging, but the Assistant helps you do more in less time, within your own unique voice. The tools are wrapped within the ‘Content Planner’, a space for your ideas, whether they’re fully fleshed out or just a working title. This can help you organize your thoughts better and create more cohesive content.

Content Studio
With Content Studio you can create Instagram captions, Tweet ideas, inspirational quotes, rewrite content and never run out of content ideas. You can save time and overcome lack of muse and brain block as a writer through AI-generated captions and images for your social media posts.

Some users may also appreciate the emoji feature, where the AI creates visually engaging posts by analyzing the tone of the text and adding relevant emojis. One feature that most users will find useful is that you can instantly create amazing images for your social media posts by simply giving text descriptions to the AI bot.

Lately
For those of you looking to incorporate artificial intelligence into your social media strategy, one of the best options is Lately. It allows you to recognize context from a larger collection of content, which can then be used to create social media posts that promote it.

Lately also offers a social media dashboard that can be used for tasks like scheduling and managing social media projects. Beyond these, you can use Lately to analyze social page metrics, helping you determine the best time to post to reach a wider and more engaged audience.

Socialbakers
Another leading artificial intelligence tool for social media is Socialbakers. It is an AI-powered social media management platform that performs advanced audience insights, influencer marketing discovery, and an impressive tracking dashboard and content stream. The single content feed gives you the ability to see all posts across all your platforms. You can also see an analytics dashboard and smart scheduling tools that offer optimal posting times.

Heyday
Heyday is a good choice for those who want to use AI to create content for their bots. This conversational AI tool for social media interacts with people in real time. In addition to answering queries, Heyday uses natural language processing (NLP) and natural language generation (NLG) to personalize product recommendations and make sales.

In a post on the new social media app Threads, Meta’s owner said he had suggested the clash take place on August 26.

In a post on X (ex. Twitter), Elon says he’s been training “all day”, but Zuckerberg was quick to refute his claims, writing that Mr. Musk had not yet confirmed.

The two became direct competitors in July with the release of Threads.

Musk cast further doubt over the upcoming fight, saying the exact date was still in flux. He also said he is likely to need surgery on his neck and upper back.

The two social media moguls have not stopped challenging each other in recent months. On Sunday, Elon said their fight would be streamed live on his social media platform X.

He reaffirmed that all proceeds from the match will go to veterans charities.

In addition to building cross-platform mobile apps, .NET MAUI can also be used to create beautiful desktop apps for Windows and Mac.
Your app can target desktop platforms only, or it can target mobile and desktop form factors anywhere. Either way, you want to provide the best experience for your users no matter what device they’re on.

Multi-window

A fundamental change in .NET MAUI was the introduction of the window as the underlying foundation. When an application is created and launched in .NET MAUI, it automatically has a default Window that is used to display content. The Application class has a new CreateWindow method that is called whenever a new Window is created. When applications run on the desktop (or on a tablet), there is more real estate to take advantage of, which means you may want to create a second or third Window instead of navigating around.

The top-level menu bar

When using desktop apps, one of the most common features is the menu bar, which is integrated into the app in Windows or the system menu bar on a Mac. With .NET MAUI, you can easily integrate a menu bar with just a few lines of code. An added benefit is that when your users launch your application on an iPad with a keyboard, they will also have access to the menu bar.

Context menus

Sometimes developers want to give more options when a user right-clicks on an item. They want a menu similar to the menu bar, but based on a specific context. This is where context menus come into use in .NET MAUI applications. They have a similar API as the menu bar, but are placed over a specific control.

Tooltips

Tooltips are a quick and easy way to add functionality to an application and improve the user experience. Desktop users have a mouse and keyboard at their disposal, which means additional context can be provided when they hover over a control in the application. Using the attached TooltipProperties.Text property allows you to specify additional information that is displayed to the user when they mouse over.

Pointer gestures

Speaking of enhancing desktop applications when users navigate with the mouse, .NET MAUI has several new gesture recognizers specifically for the mouse pointer. You can easily see when a pointer has entered, excited, or moved inside a control.

For months, the tech giant has been at the center of a wide-ranging debate about how world leaders who post problematic content should be dealt with. Democrats and progressive groups have called on Meta to extend Trump’s suspension, arguing that his habit of spreading false accusations of election fraud is dangerous. Some free speech activists argue that a politician like Trump deserves a platform on the country’s most popular social networks.

Meta Global Affairs President Nick Clegg has categorically stated that the company does not want to interfere in the democratic process, but that there should be limits on what politicians can publish.

“The public should be able to hear what their politicians are saying — the good, the bad and the ugly — so that they can make informed choices at the ballot box. But that does not mean there are no limits to what people can say on our platform. When there is a clear risk of real world harm — a deliberately high bar for Meta to intervene in public discourse — we act.”

he wrote in a blog post.

Under Meta’s new rules, accounts that have been banned once will be subject to stricter measures for repeat offenses or posts that cause real-world harm. Meta also includes government officials, politicians and users with more than 1 million followers can be suspended for a first offense from one month to two years depending on the severity of the violation.

Meta also introduced new remedies for posts by public figures who have been suspended that do not violate company policy but could lead to harmful events.

Some scholars argue that social media platforms shouldn’t just decide whether to take something down, but can give public figures the ability to post problematic content while not allowing it to be shared with a large audience, The Washington Post reports further on the topic.

The particular post explains that the company’s even bigger ambition now is a more open, accessible and safe form of immersion in the metaverse.

“Looking to the future, we see opportunities for VR to spread beyond consumers into enterprises. We hope to create a platform with Mesh that provides the most opportunities for everyone involved, including creators, partners and customers”

reads the post.

One of the first virtual reality social networking apps is AltspaceVR, which allows users to join 3D chat rooms, play games, watch movies and attend events using headsets and online platforms.

Microsoft acquired the firm as part of a goal to create its own mixed reality ecosystem when it was on the brink of failure in 2017 due to financial issues. The tech giant said customers can now pull their data and content from the VR platform as AltspaceVR has ceased operations.

With its Mesh platform, a tool for creating collaborative apps for users in augmented reality, Microsoft is still in the race for the metaverse.

Data completeness, accuracy, and consistency are some of the criteria used to determine data quality, which assesses the health of the data.

Some product teams performed manual testing, independently, by running SQL commands manually through the BigQuery user interface and/or Jupyter notebooks. There was no single framework for automating and consistently performing data quality checks.

It is important to have automated data quality checks to identify anomalies, accuracy and reliability of datasets at scale to achieve:

Confidence: when there is better data quality, customers have confidence in the results they produce, which lowers risk in the results and increases efficiency.

Better performance: Allows clients to be more productive instead of spending time validating and debugging data. They can focus on their core decisions.

Avoid lost revenue: In the decision-making process, bad data can lead to lost revenue.

Data Quality Platform (DQP), which is a managed, configuration-driven, workflow-based solution for building and collecting standard and custom quality metrics, alerting on data validation, and adding monitoring to those metrics/statistics within GCP.

These features within the platform allow us to identify and monitor anomalies, latency, accuracy and reliability of these data sets.

As shown in the diagram, the system input is a YAML configuration for GCP. It triggers Airflow jobs to test different resources with different cadence and granularity. The results are sent to the PubSub queue. Later, the Dataflow job lands the dataset at the correct destination with the appropriate quality metrics.

As mentioned earlier, automation in data quality is the key to having high-quality data products. Many cloud service providers such as AWS and GCP provide data quality automation solutions. There are also many open sources related to data quality automation for more research and exploration.

Data2vec is a framework that uses the same learning method for either speech, NLP or computer vision. The core idea is to predict latent representations of the full input data based on a masked view of the input in a self-distillation setup using a standard Transformer architecture, told arXiv.

According to a post in Meta’s blog, data2vec is simplifying the different algorithms functioning by training models to predict their own representations of the input data, regardless of the modality. A single algorithm can work with completely different types of input. This removes the dependence on modality-specific targets in the learning task. Directly predicting representations is not straightforward, and it requires defining a robust normalization of the features for the task that would be reliable in different modalities.