Focus AI #132
#Meta #AIRegulation #Lyft #Databricks
Focus AI, the latest AI news in only 3 minutes !
In short this week:
💸 Databricks Strikes $1.3 Billion Deal for Generative AI Startup MosaicML
🤡 Generated Data Fouls Human Datasets
🎭 Mark Zuckerberg Was Early in AI. Now Meta Is Trying to Catch Up
⚖️ Washington Gears Up to Regulate
🃏 Meta - Introducing 22 system cards that explain how AI powers experiences on Facebook and Instagram
🚗 Building Real-time Machine Learning Foundations at Lyft
== News ==
💸 Databricks Strikes $1.3 Billion Deal for Generative AI Startup MosaicML
Databricks has agreed to acquire MosaicML, a move aimed at capturing the fast-growing demand from businesses to build their own ChatGPT-like tools.
🤡 Generated Data Fouls Human Datasets
Researchers at École Polytechnique Fédérale de Lausanne found that written material supplied by workers hired via Amazon Mechanical Turk showed signs of being generated by ChatGPT.
44 Mechanical Turk workers summarized medical research abstracts in roughly 100 words. The authors analyzed each summary for evidence that it had been generated by ChatGPT.
🎭 Mark Zuckerberg Was Early in AI. Now Meta Is Trying to Catch Up
While Microsoft and Google scramble to supercharge their businesses with text generation, Meta has yet to launch a flagship generative AI service. Reporters went looking for reasons why.
Staff turnover, misaligned priorities, insufficient processing power, and caution in the wake of earlier controversies have hindered Meta’s ability to take advantage of generative AI,
⚖️ Washington Gears Up to Regulate
Chuck Schumer, the majority leader in the U.S. Senate, announced an unusual plan to educate legislators who are crafting AI regulations. It could lead to legislation “within months,” he said.
🃏 Meta - Introducing 22 system cards that explain how AI powers experiences on Facebook and Instagram
Meta is sharing 22 system cards that contain information and actionable insights. These system cards can be used by everyone to understand and customize their specific AI-powered experiences in Meta's products. The release of these cards aims to assist people in gaining a better understanding of AI's role in various Instagram and Facebook features. Additionally, the cards explain how people's choices and behaviors influence the content they see through Meta's ranking and recommendation systems, such as discovering new videos or following creators.
🚗 Building Real-time Machine Learning Foundations at Lyft
A blog post that highlights what the Lyft team has done to enable the hundreds of ML developers within the company to efficiently develop and enhance models with streaming data.
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#Meta #AIRegulation #Lyft #Databricks
A big thanks 😙 to our sources: https://jack-clark.net/, https://www.actuia.com/, https://thevariable.com/news/, https://techcrunch.com/, https://read.deeplearning.ai/the-batch/
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Have a good week-end,
Maxime 🙃 from Toulouse, France with 🌺