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JPMorgan begins tracking how employees use AI at work

JPMorgan Chase is integrating AI tools such as ChatGPT and Claude into the daily workflows of its approximately 65,000 engineers and technologists, with managers actively monitoring usage patterns to influence performance evaluations. This strategic move aims to standardize AI adoption across teams, moving beyond experimental use to embed AI as a core component of routine tasks like coding, document review, and risk analysis, thereby enhancing operational efficiency and consistency. The company's approach signifies a shift in corporate AI integration, where employee engagement with AI tools is systematically tracked and potentially factored into performance metrics. By classifying workers as "light"

GPT Claude
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📄 Towards AI Newsletter

The engineering best practices you can drop straight into Claude

Towards AI has made publicly available their internal markdown files, which serve as decision-ready references for common AI engineering challenges, distilled from their courses and real-world experience. These files can be directly fed into language models like Claude to streamline the development process by providing tested best practices and frameworks, effectively reducing the learning curve for AI engineers. This initiative aims to facilitate faster, more efficient AI system building by offering accessible, practical guidance without requiring additional courses or paywalls, thereby democratizing expert-level knowledge and accelerating innovation in AI development.

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📄 Towards AI Newsletter

We're sharing our internal AI engineering cheatsheets

Towards AI has made publicly available their internal markdown files, which serve as comprehensive, decision-ready references for AI engineering challenges. These files distill years of experience and best practices from their courses into practical, easily accessible guides that can be directly fed into language models like Claude to streamline development processes and decision-making in AI projects. By sharing these resources, Towards AI aims to lower the barrier to effective AI engineering, enabling practitioners to leverage tested strategies without the need for extensive training or paywalled content. This initiative provides immediate value for AI engineers by offering dense, actionable documentation covering common problems and solutions encountered during

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📄 AI News

BMW puts humanoid robots to work in Germanyand Europes factories are watching

BMW Group has introduced humanoid robots into its manufacturing processes at the Leipzig plant, marking the first deployment of Hexagon Robotics' wheeled humanoid, AEON, in the automotive industry worldwide. This pilot project signifies a major milestone for European manufacturing, demonstrating that physical AI solutions are now extending beyond North America and East Asia, with prior successful trials in BMW's Spartanburg, South Carolina plant supporting over 30,000 BMW X3s in 2025. AEON's design emphasizes industrial utility over entertainment, featuring a wheeled locomotion system optimized for factory floors, which enhances efficiency in speed

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📄 The Algorithmic Bridge

Anthropics New AI Report Accidentally Reveals an Industry-Sized Weak Spot

Anthropic's recent report introduces a novel metric called "observed exposure," which combines theoretical large language model (LLM) capabilities with real-world usage data to assess the actual impact of AI on various jobs. The key technical innovation lies in this dual approach, contrasting the potential tasks AI could perform (represented by the blue area) with those it is actively performing in practice (the red area), based on empirical data from professional settings. This analysis reveals a significant gap between AI's theoretical abilities and its real-world application, highlighting that despite LLMs' broad potential, their current practical impact on employment

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📄 AI News

Physical AI adoption boosts customer service ROI

The partnership between KDDI and AVITA exemplifies a significant advancement in physical AI by deploying humanoid robots that combine digital intelligence with human-like physical interactions to enhance frontline customer service. Unlike traditional industrial robots, these humanoids are designed to handle complex, unpredictable scenarios such as equipment failures and require sophisticated nonverbal communication skills, including synchronized nodding, eye contact, and facial expressions, to effectively engage with customers. This development leverages AVITAs expertise in avatar creation and KDDIs robust communications infrastructure to enable real-time operation of humanoids in commercial environments. The deployment relies on high

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📄 AI News

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

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📄 Towards AI Newsletter

6 Mistakes Breaking Your Agents

A new free six-day email course, the "Agentic AI Engineering Guide," offers engineers practical insights into building reliable probabilistic systems, drawing from over three years of real-world failures. The course emphasizes critical mistakes that cause agents to perform well in demos but fail in production, such as mismanaging context windows, overcomplicating designs, and relying on fragile regex parsing, providing detailed explanations, root causes, and proven solutions for each issue. This initiative aims to bridge the knowledge gap in probabilistic system design, focusing on creating evaluation-first architectures that prevent regressions and improve system robustness. By

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📄 AI News

SS&C Blue Prism: On the journey from RPA to agentic automation

SS&C Blue Prism is advancing the automation landscape by transitioning from traditional robotic process automation (RPA) to agentic AI, enabling organizations to handle increasingly complex workflows involving unstructured data and real-time decision-making. This shift leverages large language models (LLMs) to perform reasoning tasks, such as analyzing multiple data points in processes like credit agreement reviews, where outcomes depend on contextual understanding rather than predefined step-by-step instructions. The company emphasizes a gradual adoption approach, allowing organizations to specify desired outcomessuch as onboarding a customer or reviewing a loanwithout dictating explicit procedural steps, thus reflecting a