When we first land in the Codex environment, it feels like stepping into a co-pilot’s seat for coding. Codex is designed to take over much of the routine or overwhelming parts of software engineering, like understanding massive codebases, drafting PRs, and finding bugs, and help us focus on higher-level thinking. In this guided setup, we…
Reward models are fundamental components for aligning LLMs with human feedback, yet they face the challenge of reward hacking issues. These models focus on superficial attributes such as response length or formatting rather than identifying true quality indicators like factuality and relevance. This problem arises because standard training objectives fail to differentiate between spurious correlations…
Understanding the Limits of Current Interpretability Tools in LLMs AI models, such as DeepSeek and GPT variants, rely on billions of parameters working together to handle complex reasoning tasks. Despite their capabilities, one major challenge is understanding which parts of their reasoning have the greatest influence on the final output. This is especially crucial for…
Robinhood has begun offering tokenised shares in private companies, sparking backlash from OpenAI as one of the targeted firms. During an event in Cannes on Monday, Robinhood co-founder and CEO Vlad Tenev displayed what he described as “stock tokens” for OpenAI and SpaceX. The move forms part of Robinhood’s European expansion, which also includes offering…
In the telecommunications industry, managing complex network infrastructures requires processing vast amounts of data from multiple sources. Network engineers often spend considerable time manually gathering and analyzing this data, taking away valuable hours that could be spent on strategic initiatives. This challenge led Swisscom, Switzerland’s leading telecommunications provider, to explore how AI can transform their…
Although rapid generative AI advancements are revolutionizing organizational natural language processing tasks, developers and data scientists face significant challenges customizing these large models. These hurdles include managing complex workflows, efficiently preparing large datasets for fine-tuning, implementing sophisticated fine-tuning techniques while optimizing computational resources, consistently tracking model performance, and achieving reliable, scalable deployment.The fragmented nature of…
Research by cybersecurity consultancy CyXcel has revealed 29% of UK businesses surveyed have only recently implemented their first AI risk strategy, with 31% not no AI governance policies set up. The is despite a third of businesses recognising AI as a potential cybersecurity threat. The blind spot in AI risk preparedness leaves businesses prey to…
TNG Technology Consulting has unveiled DeepSeek-TNG R1T2 Chimera, a new Assembly-of-Experts (AoE) model that blends intelligence and speed through an innovative model merging strategy. Built from three high-performing parent models—R1-0528, R1, and V3-0324—R1T2 demonstrates how expert-layer interpolation at scale can unlock new efficiencies in large language models (LLMs). Assembly-of-Experts: Efficient Model Composition at Scale Traditional…
In this tutorial, we implement the BioCypher AI Agent, a powerful tool designed for building, querying, and analyzing biomedical knowledge graphs using the BioCypher framework. By combining the strengths of BioCypher, a high-performance, schema-based interface for biological data integration, with the flexibility of NetworkX, this tutorial empowers users to simulate complex biological relationships such as…
Passwords are passé. Adaptive identity systems are your best defense against evolving cyber threats. Why are enterprises that heavily invest in cybersecurity still exposed to dangerous breaches? The answer increasingly points to a foundational oversight—identity. In 2025, identity management isn’t just an IT function—it’s a strategic imperative. As the rise of cybercriminal threats grows more…