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- Apple and Meta to Come Together
Apple and Meta to Come Together
PLUS: Little Tech Brings a Big Flex to Sacramento
Hey There, Human Marvel!
Apple is considering incorporating AI features into iOS 18 through a new program called Apple Intelligence. Users may be able to choose between different AI models from companies like Meta and OpenAI.
Also: Y Combinator and over 140 AI startups have voiced strong opposition to California's proposed AI safety bill, SB 1047, arguing it could harm the state's tech industry.
TODAY’S MARVELS
Apple and Meta to Come Together
Little Tech Brings a Big Flex to Sacramento
OpenAI Bolsters Real-Time Analytics with Rockset Acquisition
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Prompt of the day - Text and Image
Apple and Meta to Come Together
Overview: Apple is reportedly in discussions with AI companies like Meta about incorporating AI models into a new feature called Apple Intelligence for iOS 18. This feature would leverage the power of AI to enhance the user experience on iPhones, iPads, and Macs.
Highlights
Apple Intelligence would allow users to interact with AI models to potentially improve tasks and features on their devices.
Apple is considering models from various companies, including Meta's Llama 3 and OpenAI's ChatGPT.
Users may have the option to choose which AI model they prefer.
Importance: The inclusion of AI models in iOS 18 could significantly impact the way users interact with their Apple devices. By offering a variety of AI models, Apple may provide users with more control and customization over their AI experience. However, some privacy concerns have been raised regarding the use of Meta's AI model, with some users expressing a desire to opt out.
Little Tech Brings a Big Flex to Sacramento
Overview: California's AI landscape is facing a significant debate as Y Combinator, a major venture capitalist firm, and numerous AI startups challenge a new AI safety bill proposed by state Sen. Scott Wiener. The bill, SB 1047, aims to impose safety testing on large AI models to prevent potential risks. However, tech leaders argue that the bill could stifle innovation and drive talent away from California.
Highlights:
Y Combinator's Stance: The firm, along with 140 AI startups, argues that the bill could harm California's ability to retain AI talent and remain a hub for AI companies.
Bill's Requirements: SB 1047 mandates risk assessments for large AI models costing $100 million or more to train.
Opposition's Concerns: Critics fear the bill's vague language and stringent requirements could inadvertently target smaller startups and lead to legal liabilities.
Support for the Bill: Proponents, including a significant majority of likely voters, believe the bill is necessary for public safety and responsible AI development.
Importance: The debate over SB 1047 highlights the tension between innovation and regulation in the tech industry. While the bill aims to ensure AI safety, its opponents argue it could hinder California's competitive edge in the AI sector. This issue underscores the need for balanced policies that protect public interests without stifling technological advancement.
OpenAI Bolsters Real-Time Analytics with Rockset Acquisition
Overview: In a move that will significantly enhance its data analysis capabilities, OpenAI has acquired Rockset, a company known for its powerful real-time analytics database platform. This integration will allow OpenAI users to leverage Rockset's technology to gain deeper insights from their data and access real-time information streams.
Highlights:
OpenAI has acquired Rockset, a leading real-time analytics database platform.
This acquisition will allow OpenAI users to better analyze data and access real-time information.
Both OpenAI and Rockset are enthusiastic about the potential of this collaboration.
Importance: The acquisition of Rockset is a strategic move for OpenAI as it strives to strengthen its data analysis capabilities. By incorporating Rockset's real-time analytics technology, OpenAI will empower its users to extract more value from their data and make data-driven decisions in real-time. This could have significant implications across various industries that rely on real-time data analysis, such as finance, healthcare, and manufacturing.
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CREATIVE TEXT PROMPT:
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AI TERM TIME - AI Term of the Day
Recurrent Neural Network (RNN):
A recurrent neural network (RNN) is a type of artificial neural network which uses sequential data or time series data. These deep learning algorithms are commonly used for ordinal or temporal problems, such as language translation, natural language processing (nlp), speech recognition, and image captioning; they are incorporated into popular applications such as Siri, voice search, and Google Translate. Like feedforward and convolutional neural networks (CNNs), recurrent neural networks utilize training data to learn. They are distinguished by their “memory” as they take information from prior inputs to influence the current input and output. While traditional deep neural networks assume that inputs and outputs are independent of each other, the output of recurrent neural networks depend on the prior elements within the sequence. While future events would also be helpful in determining the output of a given sequence, unidirectional recurrent neural networks cannot account for these events in their predictions.
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