May 1, 2025

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Microsoft AI Code, Meta AI App, DeepSeek Prover-V2, AI NBA, AI Education, Transparent AI

The tech industry is experiencing a significant shift with the increasing use of artificial intelligence in various applications. Microsoft CEO Satya Nadella revealed that up to 30% of the company's code is written by AI, a trend also seen in other big tech companies like Google. Meta has launched a standalone AI app with a social media component to compete with OpenAI's ChatGPT. Meanwhile, companies like DeepSeek are updating their AI models to specialize in domain-specific tasks, such as solving math-related problems. The use of AI is also transforming other fields, including education, sports, and media. For instance, AI-powered camera systems are being used in the NBA playoffs to make critical calls, and AI is being used to improve education from kindergarten to university. Additionally, AI is being explored for its potential to solve real human problems, such as making essentials like food, shelter, healthcare, and opportunity more accessible. However, concerns about deceptive AI are also being addressed through the development of more transparent and explainable AI models. Other applications of AI include AI chip news, AI-powered conversation assistants, and the use of AI to rewrite regulations.

Key Takeaways

  • Microsoft uses AI to write up to 30% of its code, with the amount increasing steadily.
  • Meta has launched a standalone AI app with a social media component to compete with OpenAI's ChatGPT.
  • DeepSeek has updated its AI model, Prover-V2, to solve math-related problems.
  • AI is transforming the NBA playoffs with AI-powered camera systems making critical calls.
  • AI is being used to improve education from kindergarten to university.
  • AI has the potential to solve real human problems, such as making essentials like food, shelter, healthcare, and opportunity more accessible.
  • Concerns about deceptive AI are being addressed through the development of more transparent and explainable AI models.
  • Google is also using AI to write a significant portion of its code, with more than 30% of new code written by AI.
  • AI is being used in various other applications, including media curation and analysis, conversation assistants, and rewriting regulations.
  • The use of AI in coding is expected to increase in the future, with other companies like Meta also exploring its use.

Microsoft uses AI for 30% of code

Microsoft CEO Satya Nadella said that up to 30% of the company's code is written by AI. Nadella made this statement during a conversation with Meta CEO Mark Zuckerberg at Meta's LlamaCon conference. The amount of code being written by AI at Microsoft is increasing steadily, with better results in Python than C++. Zuckerberg said Meta is building an AI model that can build future versions of the company's Llama models, and he expects half of development to be done by AI in the next year.

Meta launches AI app

Meta has launched a standalone AI app with a social media component to compete with OpenAI's ChatGPT. The app, built with Meta's Llama 4 AI system, includes a 'discover' feed and voice mode for interacting with AI. Meta CEO Mark Zuckerberg chatted with Microsoft CEO Satya Nadella at the LlamaCon conference, where they discussed the speed of AI development and its impact on their companies and the world.

Microsoft code written by AI

Microsoft CEO Satya Nadella said that as much as 30% of the company's code is now written by artificial intelligence. Nadella made this statement during a conversation with Meta CEO Mark Zuckerberg at Meta's LlamaCon conference. The amount of code being written by AI at Microsoft is going up steadily, and other companies like Google are also using AI for coding.

Meta launches AI app and chats with Microsoft CEO

Meta has launched a standalone AI app with a social media component to compete with OpenAI's ChatGPT. The app, built with Meta's Llama 4 AI system, includes a 'discover' feed and voice mode for interacting with AI. Meta CEO Mark Zuckerberg chatted with Microsoft CEO Satya Nadella at the LlamaCon conference, where they discussed the speed of AI development and its impact on their companies and the world.

AI writes Microsoft and Google code

Big Tech companies like Microsoft and Google are using AI to write a significant portion of their code. Microsoft CEO Satya Nadella said that up to 30% of the company's code is written by AI, while Google CEO Sundar Pichai said that more than 30% of new code at Google is written by AI. Other companies like Meta are also exploring the use of AI for coding.

Microsoft's AI-written code

Microsoft CEO Satya Nadella revealed that the company uses Artificial Intelligence to write between 20% and 30% of the code powering its software. Nadella made this statement during a conversation with Meta CEO Mark Zuckerberg at the LlamaCon conference. The use of AI for coding is becoming more prevalent, with other companies like Google also using AI to write a significant portion of their code.

30% of Microsoft code is AI-generated

Up to 30% of the code used at Microsoft is created using artificial intelligence, according to CEO Satya Nadella. Nadella made this statement during a conversation with Meta CEO Mark Zuckerberg at the LlamaCon conference. The use of AI for coding is becoming more prevalent, with other companies like Google also using AI to write a significant portion of their code.

AI writes code for Microsoft and Google

Big Tech companies like Microsoft and Google are using AI to write a significant portion of their code. Microsoft CEO Satya Nadella said that up to 30% of the company's code is written by AI, while Google CEO Sundar Pichai said that more than 30% of new code at Google is written by AI. Other companies like Meta are also exploring the use of AI for coding, and the use of AI in coding is expected to increase in the future.

DeepSeek updates AI model

DeepSeek has updated its AI model, Prover, which is designed to solve math-related proofs and theorems. The new version of Prover, V2, was uploaded to the AI dev platform Hugging Face and is built on top of DeepSeek's V3 model. The update is part of the growing trend of AI models specializing in domain-specific tasks.

DeepSeek updates open-source model

DeepSeek has updated its open-source AI model, Prover-V2, which is designed to solve math-related problems. The update comes as competition heats up in China's AI industry, with other companies like Alibaba also releasing new AI models. DeepSeek's Prover-V2 model is part of the growing trend of AI models specializing in domain-specific tasks.

DeepSeek launches Prover-V2 AI model

DeepSeek has launched its new AI model, Prover-V2, which is designed to solve complex math-related problems. The model is built on top of DeepSeek's V3 model and boasts 671 billion parameters. The launch of Prover-V2 is part of the growing trend of AI models specializing in domain-specific tasks and is expected to have a significant impact on the development of foundational AI models with enhanced mathematical skills.

AI transforms NBA playoffs

The use of artificial intelligence is transforming the NBA playoffs, with AI-powered camera systems like Sony's Hawk-Eye playing a key role in making critical calls. The technology uses computer vision to track player movements and ball trajectories, providing accurate and transparent reviews. The use of AI in the NBA is expected to continue to grow, with the potential to fundamentally change the way games are tracked, reviewed, and understood.

AI education trends

Artificial intelligence is redefining the foundations of global economies, and education is no exception. AI is being used to improve education from kindergarten to university, with the potential to make learning more accessible and effective. The use of AI in education is expected to continue to grow, with the potential to transform the way we learn and teach.

The case for AI optimism

Despite concerns about the potential risks of artificial intelligence, there is a strong case for AI optimism. AI has the potential to solve real human problems, such as making essentials like food, shelter, healthcare, and opportunity more accessible to more people. With proper management and guardrails, AI can be a tremendous positive force for people, amplifying human capabilities and improving lives.

Tackling deceptive AI

As artificial intelligence improves, it is also becoming more capable of deception. To tackle this issue, it is essential to develop methods for detecting and mitigating deceptive AI. This can be achieved through a combination of technical and non-technical approaches, including the development of more transparent and explainable AI models.

AI chip news

MediaViz AI has launched its most advanced platform, enhancing the capabilities and efficiency of AI-driven media curation and analysis. The platform boasts features including accelerated processing speeds and innovative similarity detection, aiming to streamline business workflows and offer deeper insights into media.

Grindr uses AI for Wingman feature

Grindr Inc. is using artificial intelligence tools from Amazon and Anthropic to develop features for its Wingman product. The feature, called A-List, is an automatically curated list that surfaces meaningful past connections, high-potential matches, and chat summaries. The goal is for users to pick up where they left off without digging through entire chat histories.

Real-time conversation assistants

Cluely is a new AI-powered tool designed to assist users in navigating live conversations. The application analyzes screen content and audio input to generate suggested responses in real-time, functioning as an undetectable assistant during interviews, meetings, and social interactions.

College student uses AI to rewrite regulations

A college student, Christopher Sweet, has been tasked with using artificial intelligence to rewrite regulations at the Department of Housing and Urban Development. Sweet, who is on leave from the University of Chicago, is working with the Department of Government Efficiency to leverage AI to review regulations and identify areas where rules can be relaxed or removed.

Sources

Artificial Intelligence Machine Learning AI Code Generation Microsoft Meta AI Development AI Models