Many people think of large language models (LLMs) as advanced question-answering machines or magic writing tools. But understanding what’s really happening inside these systems can change how you use them—and help you avoid common mistakes. A story from last year highlights this: a client struggled for months trying to get an LLM to reliably extract
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In Washington, something unusual is happening. It’s not a political scandal or a new law, but a rush of activity around artificial intelligence. Government officials, bankers, and AI experts are racing to understand and control a technology that’s advancing faster than many expected. The focus isn’t just on AI’s capabilities to generate text or images,
Meta has introduced a new artificial intelligence model called Muse Spark, marking a significant shift from its previous open-source approach. While Meta’s earlier models like Llama gained popularity because of their open weights and accessibility, Muse Spark is entirely proprietary. This means developers and researchers can’t freely download or build on it, signaling a move
Major tech companies like Apple and chipmakers such as Qualcomm are working on advanced AI assistants. These next-generation AI tools are being designed with safety features and controls to prevent mistakes. Early reports suggest that these AI agents can perform tasks within set boundaries, balancing usefulness with safety. Smart AI with Human Oversight Initial versions
As artificial intelligence becomes more embedded in daily operations, companies face new challenges in managing its risks and benefits. To keep profit margins healthy, business leaders need to put strong AI governance in place. This means creating clear rules and processes for how AI is developed, used, and monitored across the organization. The Evolution of
Chapter, a platform that helps seniors navigate Medicare using AI, has raised $100 million in a Series E funding round. The investment was led by Generation Investment Management, with new investors Fifth Down Capital and 8VC joining existing backers like Stripes, XYZ Venture Capital, Addition, Narya Capital, Susa Ventures, and Maverick Ventures. The company says
Haast, a startup based in New York, has announced the closing of a $12 million Series A funding round. The company specializes in automating compliance reviews within enterprise workflows. The funding was led by Peak XV Partners, with participation from DST Global Partners, Airtree, Aura Ventures, and Black Sheep Capital. With this new investment, Haast’s
SoftServe, a leader in digital engineering and technology services, has announced a fresh new brand identity centered around the theme of “Technology Elevated.” This new branding reflects the company’s belief that technology can do more than just serve as a tool — it can truly elevate and transform everything it touches. With a strong focus
UltiSim Inc., a company specializing in enterprise AI and digital twins, has announced a new platform called the Data Fusion Plane. This innovative system offers a secure and easy-to-deploy infrastructure designed for mid-size organizations, including government and enterprise clients. It focuses on giving these organizations full control over their data while enabling advanced AI applications.
Fingerprint, a leading company in device intelligence for fraud prevention, has introduced a new AI feature to improve its Suspect Score system. This update allows businesses to train their fraud detection models using their own data, making the system more accurate and tailored to their specific needs. The goal is to help fraud teams detect
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