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OpenAI Forms For-Profit Arm, Updates Microsoft Partnership With New AGI Agreement

OpenAI Finalises For-Profit Transition and Strengthens Microsoft Partnership With AGI-Proof Agreement

OpenAI has taken a major step in its long-running restructuring process by completing the formation of its new for-profit entity — OpenAI Group Public Benefit Corporation (PBC). The entity will operate under the control of the non-profit OpenAI Foundation, marking a significant evolution in the company’s governance and capital structure. The move aims to streamline OpenAI’s ability to raise funds while maintaining its public-benefit mission amid growing demands for advanced artificial intelligence (AI) development.

OpenAI Group PBC Officially Established

In a detailed announcement, OpenAI confirmed that its recapitalisation process has concluded, allowing for a clearer separation between its non-profit oversight and for-profit operations. The OpenAI Foundation now directly holds equity in the newly established PBC, giving it access to a portion of the company’s capital while ensuring that the foundation maintains strategic control. This structure enables OpenAI to pursue high-impact projects without being bound by traditional non-profit fundraising limitations.

New Agreement With Microsoft Includes AGI Clause

Alongside this structural shift, OpenAI has signed a new agreement with Microsoft, its largest investor and cloud partner. The deal explicitly outlines conditions for their collaboration in the event OpenAI achieves artificial general intelligence (AGI) — a milestone that could fundamentally change the AI landscape. The revised terms aim to ensure continued cooperation between the two companies while clarifying ownership, control, and ethical responsibilities tied to AGI development.

Foundation to Invest in Health and Cybersecurity

With its new structure in place, the OpenAI Foundation will manage approximately $25 billion (around Rs. 2.2 lakh crore) in two primary focus areas — health and cybersecurity. The organisation intends to leverage AI to revolutionise diagnostics and treatment capabilities, while also developing stronger security frameworks to protect global AI infrastructure. This dual focus underscores OpenAI’s intent to balance innovation with societal benefit as it moves closer to achieving AGI.

OpenAI Faces Criticism After Revealing Methods for Assessing ChatGPT Users’ Mental Health Concerns

OpenAI has drawn mixed reactions after publishing new details about how it evaluates and responds to potential mental health concerns among ChatGPT users. In a blog post released on Monday, the company explained that it has built a structured “safety evaluation mechanism” to detect signs of distress, suicidal ideation, or unhealthy emotional reliance on the chatbot. As part of this system, OpenAI has developed extensive “taxonomies” — internal guides that define sensitive conversation types and outline how the model should respond. While the company says the framework was created in consultation with clinicians and mental health professionals, critics argue that the initiative raises ethical and privacy concerns.

According to OpenAI, the new safety system is designed to help ChatGPT identify users who might be in emotional crisis and steer them toward professional support rather than attempting to intervene directly. The company stated that its large language models (LLMs) are now trained to recognize emotional distress, de-escalate tense conversations, and offer crisis hotline information when needed. Additionally, OpenAI said that sensitive chats can be “re-routed” to specialized, safer versions of the model to minimize potential harm or miscommunication during vulnerable moments.

The backbone of this effort lies in the newly created taxonomies — detailed classification systems that guide the AI in distinguishing between different types of sensitive interactions. These taxonomies also define what constitutes undesired or risky behavior from the model, such as giving inappropriate advice in response to a mental health query. OpenAI emphasized that detection accuracy is still a major challenge, and that the system is tested rigorously before being rolled out. It also clarified that it does not monitor users’ conversations continuously but relies on structured testing environments to assess safety performance.

However, the update has sparked backlash among some users and privacy advocates, who see the move as intrusive and potentially paternalistic. Critics worry that labeling and rerouting conversations based on perceived emotional content could lead to overreach, false positives, or a chilling effect on users who seek open, judgment-free discussions. Others argue that while the goal of improving safety is commendable, mental health support should remain firmly in the hands of trained professionals — not automated systems. As OpenAI continues refining its approach, the debate underscores a growing tension between AI safety innovation and user autonomy in emotionally sensitive spaces.

Amazon Unveils Smart Glasses and AI Tools to Boost Delivery Speed

Amazon has introduced new wearable technology and robotics aimed at accelerating delivery times and improving worker efficiency. At its “Delivering the Future” event in Seattle, the company showcased advanced eyeglasses for drivers, known internally as Amelia, which provide real-time navigation, package scanning, and photo capture for proof of delivery.

The smart glasses, equipped with a small display and controlled by a paired vest-mounted device, are designed to replace handheld GPS units. Amazon said the eyewear helps drivers stay focused and reduces time lost switching between devices — in some cases saving up to 30 minutes per shift. Hundreds of drivers have already tested the glasses, which will be distributed for free on an optional basis.

Amazon also unveiled Blue Jay, a new robotic arm that assists warehouse staff with picking and sorting tasks, and announced an artificial intelligence system for managing warehouse operations in real time. The company said these technologies will optimize “the last 100 yards” of delivery — the costliest part of logistics.

While Amazon’s automation drive is expected to streamline operations, reports indicate it could reduce U.S. hiring by 160,000 positions over two years. Shares of Amazon fell 1.8% on Wednesday to $217.95, marking a rare decline among major tech firms.