Browse Tag

Open-Source

RISC-V vs ARM vs x86: The 2025 Silicon Architecture Showdown

RISC-V’s Edge & IoT Takeover: Billions of Open-Source Cores Drive 2025 Tech Revolution

RISC-V Shipments Soar in Edge & IoT Devices Once a niche academic project, RISC-V is now shipping in billions of devices, especially at the edge. RISC-V International reports the ISA is implemented in over 13 billion cores on the market as of end-2023 riscv.org – a stunning rise driven largely by IoT and embedded use cases. In fact, some estimates suggest over 10 billion of those cores were shipped by 2023 primarily for IoT sensors, microcontrollers, storage controllers, and wireless chips ts2.tech. The momentum is accelerating: according to the CEO of RISC-V International, “the ecosystem is expanding rapidly… over two
28 August 2025
AI Shake-Up: Pentagon’s $200M Contracts, Meta’s Mega Investment, and an Open-Source AI Outsmarting GPT-4

AI Shake-Up: Pentagon’s $200M Contracts, Meta’s Mega Investment, and an Open-Source AI Outsmarting GPT-4

The U.S. Department of Defense awarded up to $200 million contracts to four AI firms: OpenAI, Google, Anthropic, and xAI. The contracts fund development of agentic AI systems to tackle critical national security challenges, according to DoD official Doug Matty. Musk’s Grok chatbot will be adapted for government use as part of a new “Grok for Government” suite under the DoD deal. President Trump announced plans to invest $70 billion in AI and energy initiatives to be unveiled on July 14 at a Pittsburgh innovation summit. The plan includes funding for new data centers and power grid upgrades to support
Everything You Need to Know About Google Gemini CLI: Features, News, and Expert Insights

Google’s Gemini CLI Just Dropped—Here’s Why This Free, Open‑Source AI Agent Could Replace Your Favorite Coding Tool

Gemini CLI is a command‑line AI agent that passes natural-language prompts to Gemini 2.5 Pro and returns structured responses, code, or multimedia within the terminal. Gemini 2.5 Pro supports a 1,000,000-token context window, about 50–100× larger than mainstream LLMs, enabling repository-scale reasoning. The CLI integrates with Veo for video, Imagen for images, and Google Search via the Model Context Protocol (MCP) to handle multimodal tasks. During the preview, individuals can issue 60 requests per minute and 1,000 per day. Google released the entire Gemini CLI codebase under the Apache 2.0 license on GitHub, inviting pull requests and forks. Taylor Mullen,
Go toTop