Advanced Micro Devices (AMD) declared mixed financial results for the second quarter of 2025. The company posted a record $7.7 billion in revenue, marking a 32% increase compared to last year and surpassing analyst expectations. However, adjusted earnings per share came in at $0.48, slightly below forecasts, with margins affected by an $800 million inventory write-down related to U.S. export restrictions on AI chips destined for China. Looking ahead, AMD remains optimistic, forecasting third-quarter revenues between $8.4 billion and $9 billion. This positive outlook is driven by increasing demand for AMD’s AI-focused processors, signaling robust growth in its data center and AI business despite current market challenges.
Google DeepMind has introduced Genie 3, an advanced AI model built to create real-time, interactive 3D environments from just a single text or image prompt. Unveiled as a major step in world modeling, Genie 3 allows users to instantly generate immersive worlds, enabling several minutes of continuous exploration at 720p and 24 frames per second. The model features dynamic memory—objects and changes within the environment remain consistent as users interact, a key improvement over earlier versions. Genie 3 has applications spanning gaming, education, research, and AI agent training, marking a significant advance toward more realistic, customizable AI-driven simulations
OpenAI announced the release of GPT-OSS 20B, an open-weight language model featuring 21 billion parameters, on August 5, 2025. This release is described as one of the largest and most accessible open-source language models available to the public. The model is distributed under the Apache 2.0 license, allowing researchers, developers, and businesses unrestricted usage, modification, and deployment, including for commercial applications.
GPT-OSS 20B leverages a Mixture-of-Experts architecture, meaning that only 3.6 billion parameters are active during each inference. This design offers improved computational efficiency, making it possible to deploy the model on consumer hardware with as little as 16GB of RAM. Weights and code are available through platforms like Hugging Face and GitHub, enabling broad accessibility.
OpenAI stated that the release of GPT-OSS 20B aims to encourage innovation across research, enterprise, and individual communities. By providing full transparency over the model weights and internals, the company highlights benefits for users working in environments with strict privacy or regulatory needs. Organizations are able to fine-tune, audit, or adapt the model to their specific requirements without data ever leaving their premises.
The model introduces advanced features previously exclusive to proprietary offerings, such as agentic task support, chain-of-thought reasoning, dynamic tool integration (including browsing and external code execution), and structured outputs. These capabilities are intended to bring competitive large-language-model performance to the open-source ecosystem.
OpenAI CEO Sam Altman explained in recent interviews that the company views individual empowerment and community-driven innovation as key drivers for making advanced AI accessible. The release of GPT-OSS 20B reflects this philosophy, offering tools for anyone wishing to experiment, build, or deploy language models without API restrictions or usage fees.
The open distribution of GPT-OSS 20B is seen by analysts as a significant shift toward the democratization of artificial intelligence technologies. Industry observers note that open-weight releases could accelerate the adoption of AI across industries and support new research and product development initiatives.
TurboHire, an India-based recruitment automation platform, has secured $6million in Series A funding led by IvyCap Ventures. With its AI-powered solutions for large enterprises, TurboHire aims to streamline hiring processes and make talent discovery more efficient. The fresh capital will fuel product development and market expansion, responding to accelerated demand for digital hiring in South Asia and beyond.
TurboHire, an India-based recruitment automation platform, has secured $6million in Series A funding led by IvyCap Ventures. With its AI-powered solutions for large enterprises, TurboHire aims to streamline hiring processes and make talent discovery more efficient. The fresh capital will fuel product development and market expansion, responding to accelerated demand for digital hiring in South Asia and beyond.
Dubai-based fintech Alaan has closed a $48million Series A round, one of the largest in the Middle East and North Africa. Focused on leveraging AI for smarter corporate expense management, Alaan plans to use the funds on product innovation and regional expansion. This robust investment highlights sustained appetite for AI-powered fintech solutions and the growing significance of the MENA market in the global tech scene.
The U.S. government has added OpenAI, Google, and Anthropic to its list of approved AI vendors. Through a revamped Multiple Awards Schedule, federal agencies can now access these leading AI platforms using pre-negotiated contracts, easing procurement and accelerating digital transformation. This move signals a major shift in how governments work with cutting-edge AI tools and the growing recognition of generative AI’s transformative potential across public services.
Tesla has asked shareholders to approve a $29 billion compensation package for CEO Elon Musk as the company faces an “AI talent war.” The proposal underscores Tesla’s priority to retain Musk’s leadership during a transformative period for the company, with AI playing a crucial role in autonomous driving, robotics, and manufacturing. The move comes as competition in AI innovation heats up, with rivals aggressively pursuing top technical talent worldwide.
Demis Hassabis, CEO of DeepMind, has stated that artificial intelligence is poised to create an impact that is potentially ten times greater and faster than the Industrial Revolution. In a recent interview, he emphasized AI’s vast ability to rapidly reshape both society and the business world. Hassabis also stressed the importance of implementing balanced regulations and forward-thinking strategies to manage these changes effectively. His remarks highlight the ongoing discussions around generative AI, underlining how its speed and magnitude of disruption surpass those of previous technological breakthroughs.
Airtel has unveiled its new sovereign cloud and AI platform, targeting enterprise and government clients who require strict data localization and privacy compliance. The platform promises robust security, seamless deployment, and industry-leading AI capabilities designed for Indian regulatory standards. Airtel’s move underscores growing demand for local cloud solutions as businesses accelerate digital transformation and rely more on AI-driven insights. The telecom giant aims to position itself as a leading one-stop solution for cloud infrastructure and artificial intelligence in the Indian market.
