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xAI has launched Grok 4.1, an advanced AI model that excels in emotional intelligence and creative dialogue, while a recent safety report highlights a rise in sycophantic tendencies.
Sphere, an AI-native tax compliance software, secures $21 million in Series A funding led by a16z to automate tax registration, calculation, filing, and remittance for businesses.
Microsoft, NVIDIA, and Anthropic have joined forces in a groundbreaking AI compute alliance aimed at revolutionizing cloud infrastructure investment and AI model deployment. This partnership introduces a diversified, hardware-optimized ecosystem that shifts away from single-model dependency, promising transformative impacts on enterprise AI strategies and governance.
In a daring move during the rise of ChatGPT, Blue J, a Canadian legal tech startup, rebuilt its entire platform around large language models, catapulting its valuation to over $300 million and dramatically expanding its customer base in the tax research sector.
Bain & Company highlights the need for Southeast Asian businesses to embrace AI as a strategic transformation rather than just a set of tools, unveiling a new guide for CEOs alongside a regional AI Innovation Hub in Singapore.
Despite widespread adoption of AI for web searches, significant gaps in data accuracy pose risks to business compliance, legal integrity, and financial planning. This article explores the challenges and outlines strategies for enterprises to ensure reliable AI usage.
Franklin Templeton has partnered with Wand AI to integrate agentic AI into its global asset management operations, aiming to enhance data-driven decision-making and operational efficiency in investment processes.
Google Cloud and UCLA researchers introduce Supervised Reinforcement Learning (SRL), a novel training framework that enables smaller language models to master complex multi-step reasoning tasks, outperforming traditional methods in math and software engineering benchmarks.
As enterprises adopt agentic AI systems capable of autonomous actions, traditional human-focused identity and access management (IAM) systems fall short. A new identity control plane is essential to secure AI agents, ensuring dynamic, context-aware authorization and purpose-bound data access.
After two years of intense hype, vector databases have proven to be just one component in the evolving landscape of AI-powered search and retrieval. The initial promise of seamless semantic search gave way to a more nuanced reality, where hybrid approaches combining vectors, keyword search, and knowledge graphs are becoming the new standard.