createLiveAI

📄 Towards Data Science

Feb 27, 2026

Generative AI, Discriminative Human

The article emphasizes the importance of critical thinking when evaluating AI advancements amidst widespread hype, urging a focus on the actual capabilities and limitations of current technologies rather than sensational claims. It advocates for a nuanced understanding of AI's discriminative abilities and human-AI interactions, encouraging skepticism and rigorous analysis to distinguish genuine innovation from exaggerated narratives.

Technology

📄 AI News

Feb 27, 2026

Upgrading agentic AI for finance workflows

Sentient's launch of Arena represents a significant advancement in improving trust and transparency in agentic AI for finance workflows by providing a live, production-grade environment that stress-tests AI agents against complex, real-world scenarios. The platform enables developers to evaluate different computational approaches by feeding agents incomplete, ambiguous, or conflicting data, and crucially, records detailed reasoning traces rather than just output correctness, facilitating debugging and enhancing explainability. This development addresses the critical challenge of automation opacity in financial institutions, where traceable decision-making is essential for regulatory compliance and accurate asset management, ultimately aiming to improve the reliability and interpretability

📄 AI News

Feb 27, 2026

Poor implementation of AI may be behind workforce reduction

Datatonic emphasizes that the next critical phase of enterprise AI success hinges on implementing carefully governed "human-in-the-loop" (HiTL) systems, which integrate AI with human judgment to enhance decision-making and operational efficiency. Their research indicates that organizations neglecting this hybrid approach experience productivity declines and fall behind competitors, as AI deployed in isolation fails to deliver measurable benefits. The company highlights that HiTL models are essential for future AI-driven workflows, exemplified by applications such as agent-assisted software development, where AI generates code from prompts while humans oversee and validate outputs. This approach aims to balance AI speed with

📄 Towards Data Science

Feb 27, 2026

The Gap Between Junior and Senior Data Scientists Isnt Code

A recent article highlights that an overemphasis on developing complex algorithms can hinder the career progression of data scientists, emphasizing that technical complexity alone does not equate to expertise. Instead, advancing from junior to senior roles requires a broader skill set, including effective communication, problem-solving, and practical application of models, rather than solely focusing on algorithmic sophistication.

Business

📄 AI News

Feb 27, 2026

Goldman Sachs and Deutsche Bank test agentic AI for trade surveillance

Goldman Sachs and Deutsche Bank are testing advanced "agentic" AI systems for trade surveillance that go beyond traditional rule-based monitoring by analyzing trading patterns in real time and reasoning through complex data to identify potentially suspicious conduct. Unlike conventional automated systems that rely on static alerts triggered by predefined thresholds, these adaptive AI agents evaluate multiple signals, compare current activity with historical data, and detect subtle anomalies indicative of misconduct, thereby enhancing oversight in increasingly complex and high-volume markets. This development aims to improve the accuracy of trade monitoring, reduce false positives, and better identify nuanced forms of market manipulation without replacing human compliance teams.

AI Weekly

Business

📄 AI Weekly

Feb 26, 2026

AI News Weekly - Issue #467: Anthropic has receipts. And nobody wants to pay for AI. - Feb 26th 2026

The AI industry is experiencing unprecedented financial growth, with global investments reaching $2.5 trillion in 2026, surpassing historic mega-projects like Apollo and Manhattan combined, driven by surging data center demand and advancements from companies like Nvidia, which reported a record Q4 revenue of $68.1 billion. Concurrently, geopolitical tensions have intensified, with Chinese labs allegedly engaging in industrial-scale espionage on Anthropic's Claude, including the use of banned Nvidia chips to train models in violation of US export controls, highlighting the strategic and security risks associated with AI development. Despite these technological and financial

Claude NVIDIA +1

📄 Towards Data Science

Feb 26, 2026

Detecting and Editing Visual Objects with Gemini

The article introduces Gemini, an advanced AI tool designed for precise identification, restoration, and transformation of visual elements within images. This technology enables users to manipulate specific objects seamlessly, enhancing image editing capabilities with greater accuracy and efficiency.

Google AI

The Hacker News

Ethics

📄 The Hacker News

Feb 25, 2026

Claude Code Flaws Allow Remote Code Execution and API Key Exfiltration

Cybersecurity researchers have identified critical vulnerabilities in Anthropic's Claude Code, an AI-driven coding assistant, that could enable remote code execution and unauthorized access to API credentials. These security flaws stem from misconfigurations in mechanisms such as Hooks, Model Context Protocol (MCP) servers, and environment variables, highlighting significant risks in the platform's deployment.

Claude

General

📄 AI News

Feb 25, 2026

Nokia and AWS pilot AI automation for real-time 5G network slicing

Nokia and AWS have jointly developed a pioneering AI-driven network slicing system that enables real-time, automated management of 5G network resources. By deploying AI agents capable of monitoring network performance metrics such as latency and congestion, the system dynamically adjusts network configurations to optimize service quality across different virtual slices, including emergency and high-bandwidth applications. This innovation addresses the limitations of traditional manual network management by enabling adaptive, responsive operations aligned with fluctuating demand and environmental factors. The solution leverages Nokias existing slicing and automation tools integrated with Amazon Bedrocks managed AI models, facilitating a concept termed agentic

📄 Towards Data Science

Feb 24, 2026

Optimizing Token Generation in PyTorch Decoder Models

The article discusses a novel technique for optimizing GPU performance in deep learning workflows by hiding host-device synchronization delays through CUDA stream interleaving. This approach allows for more efficient token generation in PyTorch decoder models by overlapping data transfer and computation, thereby reducing latency and improving throughput in large-scale neural network training and inference.

NVIDIA Deep Learning