For years, we’ve treated coding interviews as the gateway to software engineering. Solve a few algorithm problems under pressure, and you’re “in.” Struggle with them, and suddenly your ability as an engineer is questioned. But here’s the uncomfortable truth: LeetCode-style interviews have never been a reliable measure of engineering skill. At best, they’re a hit-or-miss signal. Sometimes you’re in the zone. Sometimes the pressure gets to you. Sometimes you’ve seen a similar problem before. Sometimes you blank out […]

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In reinforcement learning (RL), Q-learning is a fundamental algorithm whose convergence is guaranteed in the tabular setting. However, this convergence guarantee does not hold under linear function approximation. To overcome this limitation, a significant line of research has introduced regularization techniques to ensure stable convergence under function approximation. In this work, we propose a new algorithm, periodic regularized Q-learning (PRQ). We first introduce regularization at the level of the projection operator and explicitly construct a regularized projected value […]

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Turning written blog posts into audio is a simple way to reach more people. Many users prefer listening during travel or workouts. Others enjoy having both reading and listening options. With OpenAI’s text-to-speech models, you can build a clean service that takes a blog URL or pasted text and produces a natural-sounding audio file. In this article, you will learn how to build this system end-to-end. You will learn how to fetch blog content, send it to OpenAI’s […]

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In what could be interpreted as a warning of what lies ahead, AI pioneer Yoshua Bengio is warning that AI is showing signs of consciousness or “self-preservation” and humans might need to pull the plug at some point.  AI continues to rapidly evolve, moving beyond simple automation into more autonomous systems capable of complex, multi-step tasks. This incredible progress promises immense productivity gains, but it has amplified a wide range of concerns including economic disruption and longer-term societal, […]

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Introduction: The “Double-Processing” Nightmare In distributed data engineering, we assume failure is the default state. Whether it is a network hiccup, a memory spill, or a service timeout, your pipelines will fail. The real test of an architect is not preventing failure, but ensuring that when a job is re-run, it doesn’t leave the target data in a corrupt or duplicated state. This is the power of Idempotency—the ability to perform the same operation multiple times without changing […]

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arXiv:2601.05403v1 Announce Type: new Abstract: Large language models (LLMs) have been widely applied across various domains of finance. Since their training data are largely derived from human-authored corpora, LLMs may inherit a range of human biases. Behavioral biases can lead to instability and uncertainty in decision-making, particularly when processing financial information. However, existing research on LLM bias has mainly focused on direct questioning or simplified, general-purpose settings, with limited consideration of the complex real-world financial environments and high-risk, […]

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arXiv:2601.16356v1 Announce Type: new Abstract: Large Language Model (LLM)-powered web GUI agents are increasingly automating everyday online tasks. Despite their popularity, little is known about how users’ preferences and values impact agents’ reasoning and behavior. In this work, we investigate how both explicit and implicit user preferences, as well as the underlying user values, influence agent decision-making and action trajectories. We built a controlled testbed of 14 common interactive web tasks, spanning shopping, travel, dining, and housing, each […]

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arXiv:2601.15487v1 Announce Type: new Abstract: The rapid evolution of Retrieval-Augmented Generation (RAG) toward multimodal, high-stakes enterprise applications has outpaced the development of domain specific evaluation benchmarks. Existing datasets often rely on general-domain corpora or purely textual retrieval, failing to capture the complexity of specialized technical documents where information is inextricably multimodal and reasoning requires synthesizing disjoint evidence. We address this gap by introducing MiRAGE, a Multiagent framework for RAG systems Evaluation, that leverages a collaborative swarm of specialized […]

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