OpenAI closes the robotics team because it does not have enough data yet • The Register

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In short OpenAI has disbanded its AI robotics team and no longer tries to apply machine learning to physical machines.

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

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

Zaremba said a lack of training data was holding back robotics research: there was not enough information available to teach systems the desired level of intelligence.

“From a point of view of what we want to achieve, which is to build AGI, I think there were actually some components missing,” he added. A spokesperson for OpenAI confirmed this week that it has indeed stopped working on robotics.

You can now download an advanced AI model for protein prediction

DeepMind this week posted AlphaFold, the most advanced protein structure prediction machine learning model to date, on GitHub.

If you want to play with it, you’ll need to be familiar with Docker and have the space to store hundreds of gigabytes of genetic sequencing data along with the model.

AlphaFold is formed to predict how a protein folds and takes shape based on its constituent amino acids. Last year, DeepMind entered its system in the Protein Structure Prediction Critical Appraisal Competition and beat its rivals.

The goal of DeepMind is to obtain a model precise enough to be useful in the development of drugs that can target specific proteins to cure or alleviate disease. A DeepMind article on the design of AlphaFold was published this month in Nature.

In a separate project, a large team of researchers from various universities and academic institutions also released their own open source AI protein folding model. Known as RoseTTaFold, it doesn’t perform as well as AlphaFold although it’s not too shabby, according to an article published in Science.

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

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

In the magazine article, documentary filmmaker Morgan Neville admitted to using software that mimicked Bourdain’s voice, forcing the celebrity chef and writer to say words he hadn’t written. Specifically, the software was used to read an email Bourdain wrote to a friend. The code was formed on clips of Bourdain speaking on television, radio, audiobooks, and podcasts.

“If you watch the movie… you probably don’t know what other lines the AI ​​has said, and you won’t,” Neville said. “We can have a documentary ethics panel on this later.”

Should the director inform viewers or listeners when an audio clip has been synthetically generated? Does this matter, given that Bourdain expressed these sentiments although in an email and not into a microphone? Will this put a dent in confidence in future documentaries, journalism and media production? This Tech Policy Press interview with Sam Gregory – a deep counterfeit expert and program director for Witness Media Lab – has more on that.

Discord believes AI can help moderate hate speech online

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

Sentropy, based in Palo Alto, Calif., Confirmed the deal in a blog post this week. “Three years after starting this company with Michele, Ethan and Taylor, I am delighted to announce that we are joining Discord to continue to fight hate and abuse on the Internet,” said CEO and co-founder John Redgrave.

The newcomer built proprietary machine learning models that would be able to detect hate speech and toxic language to end online harassment. The amount paid by Discord to acquire the technology and the Sentropy team has not been disclosed.

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



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