OpenAI closes robotics team because it doesn’t have enough data yet • The Register

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Shortly OpenAI has disbanded its AI robotics team and is no longer trying to apply machine learning to physical machines.

Wojciech Zaremba, co-founder of OpenAI who led the robotics group, confirmed that the company recently disbanded the team to focus on more promising areas of artificial general intelligence research.

“Here’s a reveal … recently we changed focus at OpenAI and I actually disbanded the robotics team,” he said said during an episode of the Weights & Biases podcast.

Zaremba said a lack of training data is holding back robotics research: there isn’t enough information to teach the systems the intelligence they want.

“From the perspective of what we are trying to achieve, which is to build AGI, I think I was actually missing some components,” he added. A spokesperson for OpenAI confirmed this week that it has actually stopped working on robotics.

You can now download a top AI model for protein prediction

DeepMind released AlphaFold on GitHub this week, the most advanced machine learning model to predict protein structure.

If you want playing around With that, you need to be familiar with Docker and have the space to store hundreds of gigabytes of genetic sequencing data as well as the model.

AlphaFold is trained to predict how a protein will fold and take shape based on its constituent amino acids. Last year, DeepMind entered the Critical Assessment of Protein Structure Prediction competition with its system, beating its competitors.

DeepMind’s goal is to make the model accurate enough to be useful in developing drugs that target specific proteins to cure or attenuate disease. A paper by DeepMind on the design of AlphaFold was published in Nature this month.

In a separate project, a large team of researchers at various universities and academic institutions has also published their own open source AI protein folding model. Known as RoseTTaFold, it doesn’t work as well as AlphaFold, although according to one paper it isn’t too shabby released in science.

Is it wrong to bring the dead back to life in documentaries without telling the audience?

A New Yorker review by Roadrunner, a documentary about the late and great Anthony Bourdain, has raised the question of whether or not it is ethical to use machine learning technology to falsify people’s voices.

In the magazine article, documentary filmmaker Morgan Neville admitted using software that mimicked Bourdain’s voice and made the celebrity chef and writer say words he just wrote. Specifically, the software was used to read an email that Bourdain wrote to a friend. The code was trained on clips of Bourdain speaking on television, radio, audiobooks, and podcasts.

“When you watch the movie … you probably don’t know what the other lines the AI ​​said, and neither will you,” Neville said. “We can have a documentary ethics panel on it later.”

Should the director notify viewers or listeners when an audio clip has been synthesized? Does it matter that while Bourdain expressed these feelings in an email rather than a microphone? Will this break a hole of trust in future documentaries, journalism and media production? This tech policy press interview with Sam Gregory – a deep fakes expert and program director of the Witness Media Lab – has more on this.

Discord believes AI can help moderate hate speech online

IRC-for-the-next-generation Discord picked up an AI startup for its automated moderation tools.

Sentropy, based in Palo Alto, California, confirmed the deal in a blog post this week. “Three years after starting this company with Michele, Ethan and Taylor, I am excited to announce that we are joining Discord to continue fighting against online hatred and abuse.” said CEO and Co-Founder John Redgrave.

The upstart has developed proprietary machine learning models that are purportedly capable of detecting hate speech and toxic language to help cut down online harassment. The amount Discord paid to acquire the Sentropy technology and team has not been disclosed.

Discord was known to be popular primarily with gamers, although it has exploded in other communities, from programming to cryptocurrencies. Microsoft reportedly turned down a $ 10 billion offer earlier this year. ®

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