Exciting AI Updates: Game Mod Voices, Moderation, and More!

Exciting AI Updates: Game Mod Voices, Moderation, and More!

Table of Contents:

I. Introduction II. AI Voice Acting Tool XVA Synth Gets Even Better at Recreating Video Game Voices III. Microsoft Acquires AI-Powered Moderation Platform Two Hat IV. MIT's Latest AI Research Using Deep Neural Networks Explains How the Brain Processes Language V. Making Machine Learning More Useful to High-Stakes Decision Makers VI. Clearview AI Undergoes Testing by the National Institutes of Standards and Technology VII. Tesla Pulls the Latest FSD Beta from Owner's Cars VIII. Rue Dolly: Generating Images from Text Descriptions or the Largest Computational Project in Russia IX. Ethics and Society Stories X. Conclusion

II. AI Voice Acting Tool XVA Synth Gets Even Better at Recreating Video Game Voices

In recent years, there have been demonstrations of using AI to generate voice acting for video games. XVA Synth is a tool created by a modder that is freely available to be used by any modders. It is now in version 2.0 and has a lot of features, including a lot of voices and control over energy. This is a really exciting direction for synthetic voices, especially for indie game developers who don't have super high margins.

However, there is a gray area when it comes to using existing characters or voices from existing games. It's not like they licensed those voices from those actors. But since this is for Mods, as long as You stay in a non-commercial aspect, it could be okay. It's possible that they will adapt to this over time and find a way to pay those actors or strike some kind of deal.

Pros:

• XVA Synth is an open-source tool that is freely available to be used by any modders.
• It has a lot of features, including a lot of voices and control over energy.
• This is a really exciting direction for synthetic voices, especially for indie game developers who don't have super high margins.

Cons:

• There is a gray area when it comes to using existing characters or voices from existing games.
• It's not like they licensed those voices from those actors.

III. Microsoft Acquires AI-Powered Moderation Platform Two Hat

Microsoft has acquired Two Hat, an AI content moderation platform. They have been working together for the past few years on proactively moderating gaming and non-gaming experiences for Microsoft. Four in ten Americans have personally experienced some form of online harassment, so it's important to have platforms like these helping with moderation.

Two Hat was founded in 2012 by a person who was a security specialist at Disney Interactive, working on the safety and security team for Club Penguin. This person certainly has experience with the sort of issues of cyberbullying and harassment on the web, and Club Penguin is especially used by children who are especially susceptible to these issues.

Pros:

• Microsoft has acquired Two Hat, an AI content moderation platform.
• Four in ten Americans have personally experienced some form of online harassment, so it's important to have platforms like these helping with moderation.
• Two Hat was founded by a person who has experience with the sort of issues of cyberbullying and harassment on the web.

Cons:

• There are a lot of famous platforms that are known to be poorly moderated or very heavily user moderated, such as Reddit.

IV. MIT's Latest AI Research Using Deep Neural Networks Explains How the Brain Processes Language

MIT's latest AI research using deep neural networks explains how the brain processes language. The basic idea is that we have neural models that process text speech, and there are different kinds of tasks we could train neural networks for, such as question answering. They trained neural networks to do this task and then had people do the same task. They showed that at least for one of these tasks, you get some amount of accuracy, and you can predict what is going to happen in the human's brain.

However, there is a good reason to be skeptical. It doesn't mean that deep neural networks work the same as human brains or even similar. It's not too clear how to really interpret this aside from their sum correlation. It's maybe in some ways similar, but it's not too obvious how to interpret this aside from their sum correlation.

Pros:

• MIT's latest AI research using deep neural networks explains how the brain processes language.
• They showed that at least for one of these tasks, you get some amount of accuracy, and you can predict what is going to happen in the human's brain.

Cons:

• There is a good reason to be skeptical. It doesn't mean that deep neural networks work the same as human brains or even similar.

V. Making Machine Learning More Useful to High-Stakes Decision Makers

A study was done on usability challenges of machine learning in high-stakes decision making. People want to know the factors going in and why behind the answers that they're getting. They specifically examined the usability challenges in child welfare screening. The call screeners really wanted to see why a machine learning algorithm predicted a certain risk for a child.

This is very much a study around usability and the downstream use of machine learning. It's important to understand how to interpret those predictions, and this sort of human-computer interaction research is less common with AI but definitely useful.

Pros:

• A study was done on usability challenges of machine learning in high-stakes decision making.
• People want to know the factors going in and why behind the answers that they're getting.
• This sort of human-computer interaction research is less common with AI but definitely useful.

Cons:

• There are disagreements between humans and a model.

VI. Clearview AI Undergoes Testing by the National Institutes of Standards and Technology

Clearview AI is a company that sells facial recognition. They scraped 10 billion photos from the internet, so there are a lot of lawsuits going on. They underwent testing by the National Institutes of Standards and Technology to evaluate the accuracy of their algorithm. Their product is accurate in correctly matching to photos of the same person, although that's not what they sell.

Pros:

• Clearview AI underwent testing by the National Institutes of Standards and Technology to evaluate the accuracy of their algorithm.
• Their product is accurate in correctly matching to photos of the same person.

Cons:

• They scraped 10 billion photos from the internet, so there are a lot of lawsuits going on.

VII. Tesla Pulls the Latest FSD Beta from Owner's Cars

Tesla rolled back their latest FSD beta because it was having some issues. Elon Musk confirmed the downgrade and said that this only underscores the need for public betas. It's good that they rolled things back if things weren't working well, but things are moving very quickly in the space, and things are being rolled out very quickly.

Pros:

• Tesla rolled back their latest FSD beta because it was having some issues.
• Elon Musk confirmed the downgrade and said that this only underscores the need for public betas.

Cons:

• Things are moving very quickly in the space, and things are being rolled out very quickly.

VIII. Rue Dolly: Generating Images from Text Descriptions or the Largest Computational Project in Russia

Rue Dolly is a model that generates images from text descriptions. It is the largest computational project in Russia, with the largest model having 12 billion parameters. It is open source, and people are making it usable in English language. It is very cool that this is coming out everywhere, and it is exciting to see the different countries compete.

Pros:

• Rue Dolly is a model that generates images from text descriptions.
• It is the largest computational project in Russia, with the largest model having 12 billion parameters.
• It is open source, and people are making it usable in English language.

Cons:

• None.

IX. Ethics and Society Stories

There are a lot of ethics and society stories in this week's episode. Clearview AI underwent testing by the National Institutes of Standards and Technology to evaluate the accuracy of their algorithm. Microsoft acquired Two Hat, an AI content moderation platform. MIT's latest AI research using deep neural networks explains how the brain processes language. Making machine learning more useful to high-stakes decision makers is important. Tesla pulled the latest FSD beta from owner's cars.

Pros:

• There are a lot of ethics and society stories in this week's episode.

Cons:

• None.

X. Conclusion

In conclusion, this week's episode covered a lot of interesting AI News. XVA Synth is a tool created by a modder that is freely available to be used by any modders. Microsoft has acquired Two Hat, an AI content moderation platform. MIT's latest AI research using deep neural networks explains how the brain processes language. Making machine learning more useful to high-stakes decision makers is important. Clearview AI underwent testing by the National Institutes of Standards and Technology to evaluate the accuracy of their algorithm. Tesla pulled the latest FSD beta from owner's cars. Rue Dolly is a model that generates images from text descriptions and is the largest computational project in Russia.