OpenAI

OpenAI and Google face lawsuits while advocating for AI copyright exceptions

OpenAI and Google have urged the US government to allow AI models to be trained on copyrighted material under fair use.

The companies submitted feedback to the White House’s ‘AI Action Plan,’ arguing that restrictions could slow AI progress and give countries like China a competitive edge. Google stressed the importance of copyright and privacy exceptions, stating that text and data mining provisions are critical for innovation.

Anthropic also responded to the White House’s request but focused more on AI risks to national security and infrastructure rather than copyright concerns.

Meanwhile, OpenAI and Google are facing multiple lawsuits from news organisations and content creators, including Sarah Silverman and George R.R. Martin, who allege their works were used without permission for AI training.

Other companies, including Apple and Nvidia, have also been accused of improperly using copyrighted material, such as YouTube subtitles, to train AI models.

As legal challenges continue, major tech firms remain committed to pushing for regulations that support AI development while navigating the complexities of intellectual property rights.

For more information on these topics, visit diplomacy.edu.

OpenAI expands ChatGPT capabilities with Google Drive and Slack integration

OpenAI is preparing to beta test its new feature, ChatGPT Connectors, which will enable businesses to link their Google Drive and Slack accounts to ChatGPT.

Employees can leverage internal company data, including files, presentations, and Slack discussions, to enhance their interactions with the AI chatbot.

The feature will provide answers informed by these internal resources, similar to how ChatGPT currently uses web search to answer general queries.

The initial beta testing will be available to ChatGPT Team subscribers, with plans to extend the functionality to other platforms, such as Microsoft SharePoint and Box.

The move is part of OpenAI’s effort to integrate ChatGPT deeper into business operations, aiming to make it an essential tool for workplace productivity.

While some companies have expressed concerns about sharing sensitive data with AI, ChatGPT Connectors offers reassurances that permissions from Google Drive and Slack will be fully respected and up-to-date.

The ChatGPT Connector model is powered by OpenAI’s GPT-4o, which can refine responses based on a company’s internal knowledge. However, the integration has certain limitations.

For example, it cannot analyse images in Google Drive files or access private Slack messages and group chats. Additionally, companies must provide OpenAI with select documents and conversations for the beta test, though OpenAI assures that no data will be directly used for training the AI.

Enterprise AI-powered search tools may see a significant impact from this development, creating challenges for competitors in the industry.

For more information on these topics, visit diplomacy.edu.

OpenAI fast-tracks court clash with Elon Musk

Elon Musk and OpenAI have agreed to expedite their legal dispute concerning OpenAI’s transition to a for-profit entity, proposing a trial in December 2025. The development follows a series of legal manoeuvres, including a recent court decision denying Musk’s request to halt the restructuring process.

Musk, who co-founded OpenAI in 2015 but departed in 2018, initiated legal action last year, alleging that the company’s shift to a for-profit model deviates from its original mission to develop AI for the benefit of humanity.

In response, OpenAI and its CEO, Sam Altman, have refuted these claims, suggesting that Musk’s actions aim to impede a competitor, especially considering his establishment of the rival AI firm, xAI, in 2023.

The outcome of this lawsuit holds significant implications for OpenAI’s financial strategy. The company’s recent $6.6 billion funding round and a prospective $40 billion investment, currently under negotiation with SoftBank Group, are contingent upon its transition to a for-profit structure. Restructuring is essential to attract the capital needed to remain competitive in the evolving AI industry. ​

In February 2025, Musk led an unsolicited $97.4 billion takeover bid for OpenAI, which Altman promptly declined, reinforcing his stance that OpenAI is not for sale. Musk’s bid further intensified the complex relationship between Musk and OpenAI, highlighting the broader debate over the commercialisation of AI and the ethical considerations associated with balancing profit motives against societal benefits.

As the presumed December trial approaches, the tech industry and the public will closely monitor the proceedings, given their potential to influence the future trajectory of AI development and corporate governance within the sector.

For more information on these topics, visit diplomacy.edu.

SoftBank invests in AI infrastructure with OpenAI partnership

SoftBank plans to transform a former Sharp LCD factory in Osaka into a large-scale data centre for AI.

The Japanese telecom giant intends to purchase the facility and surrounding land for approximately 100 billion yen ($677 million), with operations set to begin in 2026.

Once operational, the centre will be among Japan‘s largest, boasting a power capacity of 150 megawatts.

The project is part of SoftBank’s collaboration with OpenAI to commercialise AI agent technology in Japan. The data centre will support the training of AI models on client companies’ data, offering customised AI solutions tailored to business needs.

The investment in the venture is expected to be significant, potentially reaching 1 trillion yen ($6.77 billion).

SoftBank’s move highlights its commitment to AI infrastructure as demand for advanced computing power grows. The company and OpenAI have not yet commented on the reported plans.

For more information on these topics, visit diplomacy.edu.

Dapr integrates AI agent support for developers

Dapr, the open-source microservices runtime introduced by Microsoft in 2019, has added new capabilities to support AI agents, broadening its appeal to developers creating scalable distributed applications.

Initially designed to simplify microservice-based app development, Dapr’s new functionality builds on its existing concept of virtual actors, making it easier to incorporate AI agents into systems.

The newly launched Dapr Agents offer developers a framework to efficiently run AI agents at scale with statefulness, making it ideal for applications involving large language models (LLMs).

However, this update allows seamless integration with popular AI providers, such as AWS Bedrock, OpenAI, and Hugging Face. Developers also benefit from Dapr’s orchestration and resource-efficient model, ensuring agents can spin up quickly when needed and retain state after tasks are completed.

Dapr Agents currently support Python, with plans for .NET and other languages like Java and Go coming soon.

For more information on these topics, visit diplomacy.edu.

OpenAI launches responses API for AI agent development

OpenAI has unveiled new tools to help developers and businesses build AI agents, which are automated systems that can independently perform tasks. These tools are part of OpenAI’s new Responses API, allowing enterprises to create custom AI agents that can search the web, navigate websites, and scan company files, similar to OpenAI’s existing Operator product. The company plans to phase out its older Assistants API by 2026, replacing it with the new capabilities.

The Responses API provides developers with access to powerful AI models, such as GPT-4o search and GPT-4o mini search, which are designed for high factual accuracy. OpenAI claims these models can offer more reliable answers than previous versions, with GPT-4o search achieving a 90% accuracy rate. Additionally, the platform includes a file search feature to help companies quickly retrieve information from their databases. The CUA model, which automates tasks like data entry, is also available, allowing developers to automate workflows with more precision.

Despite its promise, OpenAI acknowledges that there are still challenges to address, such as AI hallucinations and occasional errors in task automation. However, the company continues to improve its models, and the introduction of the Agents SDK gives developers the tools they need to build, debug, and optimise AI agents. OpenAI’s goal is to move beyond demos and create impactful tools that will shape the future of AI in enterprise applications.

For more information on these topics, visit diplomacy.edu.

OpenAI launches responses API to boost AI agents

OpenAI has unveiled new tools for developers to build advanced AI agents, stepping up its game amid rising competition from Chinese startups.

The latest offering, called the Responses API, allows developers to create AI systems that execute complex tasks independently. This new tool replaces the Assistants API, which will be phased out by mid-2026.

The launch comes as Chinese startups make rapid advances in AI, with some claiming their models rival or surpass those of leading US firms at a lower cost.

One such company, Monica, recently introduced its autonomous AI agent, Manus, which it says outperforms OpenAI’s DeepResearch agent.

Monica’s rise follows growing recognition of Chinese AI innovations, including DeepSeek, which has impressed Silicon Valley executives.

On Tuesday, Monica announced a partnership with the team behind Alibaba’s Qwen AI models, further intensifying the global AI race.

For more information on these topics, visit diplomacy.edu.

ChatGPT expands reach as new features drive engagement

OpenAI’s ChatGPT has experienced a surge in growth, reaching 400 million weekly active users by February 2025, according to a report from venture capital firm Andreessen Horowitz.

The AI chatbot, which took nine months to grow from 100 million to 200 million users in 2024, has now doubled its numbers in under six months. New AI model releases and enhanced functionality, such as GPT-4o’s multimodal capabilities and Advanced Voice Mode, have contributed to this accelerated adoption.

Mobile usage has played a crucial role in sustaining ChatGPT’s momentum, with mobile users growing consistently between 5% and 15% each month over the past year.

Of the 400 million weekly active users, 175 million now access ChatGPT via mobile devices. Despite growing competition, OpenAI’s chatbot remains the leading AI app in terms of unique monthly visits on the web and active users on mobile, according to market intelligence provider Similarweb.

Rival AI app DeepSeek has emerged as a strong competitor, quickly capturing 15% of ChatGPT’s mobile user base and ranking No. 2 globally within 10 days of launch. However, while DeepSeek has seen higher engagement than other competitors like Perplexity and Claude, it still lags behind ChatGPT overall.

The report also highlights AI developer tools, revenue trends, and the top generative AI apps across mobile and web.

For more information on these topics, visit diplomacy.edu.

Google unveils experimental AI search for premium users

Google has introduced an experimental version of its search engine that removes the traditional 10 blue links in favour of AI-generated summaries.

The new ‘AI Mode’ is available to subscribers of Google One AI Premium, a $19.99 per month plan, and can be accessed through a tab alongside existing options like Images and Maps.

Users will see a detailed AI summary with hyperlinks to cited sources, replacing standard search results with a search bar for follow-up questions.

The feature is powered by a customised version of Google’s Gemini 2.0 model, designed to handle complex queries more effectively.

AI Overviews, which provide summaries atop search results, are already available in over 100 countries, with advertisements integrated into them since last May. Google says the new AI-driven approach responds to demand from “power users” seeking more AI-generated responses.

As Google pushes deeper into AI-powered search, it faces competition from Microsoft-backed OpenAI, which introduced search capabilities to ChatGPT last October.

The shift has raised concerns among content creators, with edtech company Chegg suing Google in February, alleging that AI previews are reducing demand for original content and hurting publishers’ ability to compete.

For more information on these topics, visit diplomacy.edu.

Antitrust probe into Microsoft and OpenAI ends in the UK

The UK Competition and Markets Authority (CMA) has concluded its investigation into Microsoft’s partnership with OpenAI, deciding not to move forward with a merger probe.

The decision comes after the CMA found that Microsoft does not hold enough control over OpenAI, a key factor in triggering a merger review. The companies’ collaboration began in 2019, when Microsoft invested $1 billion in the AI startup.

Despite this, the CMA stated that Microsoft’s influence had not evolved to the level of de facto control required for further scrutiny.

This marks the end of the UK’s formal investigation into the deal, although the CMA clarified that its decision should not be interpreted as a dismissal of potential competition concerns related to the partnership.

While the investigation is closed, the CMA has been increasingly active in examining major tech company acquisitions, particularly those involving AI startups.

Microsoft welcomed the CMA’s decision, asserting that their ongoing partnership with OpenAI fosters innovation and competition in AI development.

Meanwhile, the CMA continues to monitor the tech sector, with broader powers to investigate companies deemed to hold ‘strategic market status’.

For more information on these topics, visit diplomacy.edu.