AI Evolution: OpenAI Changes, FTC’s Warning to Tech Giants, China’s AI Blueprint, and More


Biggest Changes and Interesting Use Cases for AI

Artificial intelligence (AI) is undergoing significant changes and finding interesting use cases in various industries. Here are some of the key developments:

1. OpenAI API Streamed Response

William Chong discusses the implementation of HTTP streamed response for the OpenAI API. This allows users to see the generative process in real-time, improving the user experience. The article provides code examples for backend and frontend implementation.

Source: Medium

2. FTC’s Warning to Big Tech

FTC Chair Lina Khan warns Big Tech about the risks and concentration of power in AI. She emphasizes that antitrust laws apply to AI and highlights concerns about control over key AI tools and the need for a clear liability regime.

Source: Stanford Institute for Economic Policy Research

3. OpenAI Facing Competition

OpenAI is facing competition and vulnerabilities in the AI field. Rising open-source movements and the need for consistent results challenge its position as a dominant AI player.

Source: TheWrap

4. China’s AI Global Blueprint

China has launched the Global AI Governance Initiative, focusing on principles such as human rights, data protection, international collaboration, and avoiding biases. The initiative aims to manage AI development and governance.

Source: Xinhua News Agency

5. AI in API Management

API management is evolving with the use of AI and machine learning. These technologies automate tasks such as API design, testing, security, and analytics, enhancing the efficiency of API management processes.

Source: Medium

6. AI in Travel

The emergence of AI in travel is being addressed at industry events. AI technology, such as generative AI, is being used to create itineraries and improve the booking process.

Source: Travel Weekly

7. NTT Enhancing AI Understanding of Japanese

NTT is providing Language Model (LLM) to businesses, enabling generative AI systems to understand Japanese language data better. This technology change aims to enhance AI systems‘ processing and interpretation abilities.

Source: MarketScreener

8. Microsoft’s Revamped Software Security

Microsoft is revamping its software security after a series of cloud attacks. The Secure Future Initiative (SFI) will rely on automation and AI to identify and fix vulnerabilities more quickly, enhancing the security of Microsoft’s cloud services.

Source: TechPluto

9. Brave’s AI Assistant for Desktop Users

Brave has released its AI-powered assistant, Leo, for desktop users. Leo can handle context-aware requests such as summarizing webpages, translating text, and rewriting phrases. Other browsers like Opera and Microsoft Edge have also introduced AI assistants.

Source: TechCrunch

10. Fine-tuning Large Language Models

A tool called gpt-llm-trainer simplifies the process of fine-tuning large language models like GPT-3.5 and Llama 2. It uses model distillation to transfer knowledge from a larger model to a smaller one, making it easier for users to adapt the models to their specific needs.

Source: TechTalks

11. Elon Musk’s xAI

Elon Musk’s xAI is set to unveil a groundbreaking AI product that claims superiority over OpenAI and Google. The goal is to develop a language model that can rival or surpass existing models.

Source: Bollyinside

12. AI in the Energy Sector

New initiatives, including an Executive Order and recommended best practices, aim to enhance the safe and trustworthy development of AI in the energy sector. These initiatives focus on AI safety, security, and protecting individuals and data.

Source: Smart Energy International

13. AI Accountability and Executive Order

The Biden administration’s Executive Order addresses AI accountability, safety, and security requirements. It promotes responsible AI innovation and covers various aspects such as privacy protection, equity, and competition.

Source: JD Supra

14. Machine Identity and AI Accountability

Machine identity is crucial for AI accountability, and its effective implementation is necessary to strengthen AI governance, security, and trust. The EU AI Act aims to regulate AI systems based on their risk level.

Source: BetaNews

15. Google’s Shift in API Proposal

Google has shifted its focus from the Web Environment Integrity API to the Android WebView Media Integrity API. This change reflects Google’s commitment to enhancing the integrity of embedded media within Android apps.

Source: Bollyinside