TechCrunch AIglossary
The only AI glossary you’ll need this year
The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.
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Meta's AI investment strategy could reshape corporate culture, emphasizing in-house innovation and efficiency while reducing external dependencies. The post Meta invests billions in AI, urges employees to use in-house tools over third-party coding assistants appeared first on Crypto Briefing.
Read full articleThe rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.
The AI-driven memory demand surge could lead to prolonged supply shortages, impacting tech infrastructure costs and investor strategies. The post UBS raises DRAM and NAND price forecasts amid AI demand surge appeared first on Crypto Briefing.
Microsoft's unified Copilot app could streamline AI integration across sectors, potentially boosting user engagement and enterprise adoption. The post Microsoft merges consumer and enterprise Copilot AI chatbots into one application appeared first on Crypto Briefing.
The case could redefine AI copyright norms, impacting how industries balance innovation with intellectual property rights. The post Midjourney wants to peek inside Hollywood’s AI closet, and studios are not having it appeared first on Crypto Briefing.
Satoshi Nakamoto remains Bitcoin’s most coveted mystery, with the creator’s true identity continuing to captivate researchers, journalists, cryptographers, and enthusiasts more than 17 years after the network’s launch. To explore whether that mystery will ever be solved, several of today’s top artificial intelligence (AI) models used Bayesian scenario trees to estimate the odds that Nakamoto’s […]
Readers respond to the profile of Iason Gabriel, a philosopher and research scientist at Google DeepMind The Guardian’s profile of Google DeepMind’s philosopher was encouraging because it showed how seriously many of the people building AI are taking their ethical responsibilities (‘There’s this deep mystery of what, actually, is this thing?’: the philosopher inside Google DeepMind AI, 30 June). Yet it also left me wondering whether the most important decision has already been made. The article asks whose moral compass should guide artificial intelligence. My concern is that the direction of travel may already have been set, not by philosophers or engineers, but by the incentives surrounding the technology. Hundreds of billions are now being invested because AI promises commercial returns and geopolitical advantage. Those pressures are understandable, but they are also quietly determining the future before society has consciously debated where it wants to go. Continue reading...
Meta has quietly released a new app called Pocket, an AI-powered platform that allows users to generate small interactive games and experiences using text prompts, alongside a scrollable discovery feed of content created by others. The app, first spotted by reverse engineer Alessandro Paluzzi and confirmed live on both the App Store and Google Play […]
Insider Brief PRESS RELEASE — AI model lab Scaled Cognition announced it has raised $100 million in a Series A funding round led by Khosla Ventures. The company is focused on solving one of the biggest challenges in AI today: reliability. While AI systems have become remarkably capable, they remain prone to mistakes and hallucinations that limit their use […]