We love Haskell, but we also love learning new languages. In this article, we want to show how to use your Haskell knowledge to write Rust code. We’ll go through the concepts familiar to most Haskell developers, present a few gotchas, and cover these questions: To what extent is FP possible in Rust? (On the scale from Java streams to doing Lambda Calculus on paper.) Which Haskell concepts map well to Rust, and which don’t? Are there monads […]

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Diabetic retinopathy (DR) is a leading cause of vision impairment and permanent blindness worldwide, requiring an accurate and automated system to classify its multi-grade severity to ensure timely patient intervention. However, standard Convolutional Neural Networks (CNNs) often struggle to capture the fine, high-frequency microvascular patterns critical for diagnosis. This study proposes a Robust Intelligent CNN Model (RICNN) designed to improve multi-level DR classification by integrating Gabor-based feature extraction with deep learning. The model also incorporates SMOTE (Synthetic Minority […]

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Canguilhem argues that while machines can imitate life, only living beings create their own rules for survival. A machine obeys commands; an organism invents its own norms. Life isn’t just mechanical function—it’s the power to adapt, to value, to define what “working” even means. Living things aren’t built—they build themselves.

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Industrial Internet of Things (IIoT) and SCADA-connected networks face disruptive DDoS events where detection must be both accurate and low-latency at the edge. This study benchmarks deep reinforcement learning (DRL) for real-time binary attack detection and proposes a Proximal Policy Optimisation (PPO) detector tailored for deployment. Five DRL agents—DQN, Double DQN, Duelling DQN, DDPG, and PPO—are trained under a unified preprocessing pipeline (automatic label mapping, numeric-feature selection, robust scaling, and class balancing) and evaluated on three representative datasets: […]

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arXiv:2601.04285v1 Announce Type: new Abstract: Escalating air traffic demand is driving the adoption of automation to support air traffic controllers, but existing approaches face a trade-off between safety assurance and interpretability. Optimisation-based methods such as reinforcement learning offer strong performance but are difficult to verify and explain, while rules-based systems are transparent yet rarely check safety under uncertainty. This paper outlines Agent Mallard, a forward-planning, rules-based agent for tactical control in systemised airspace that embeds a stochastic digital […]

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Plaud is going after the likes of Granola to launch a desktop app that records online meetings

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Published on December 20, 2025 12:17 AM GMT Screwtape, as the global ACX meetups czar, has to be reasonable and responsible in his advice giving for running meetups. And the advice is great! It is unobjectionably great. I am here to give you more objectionable advice, as another organizer who’s run two weekend retreats and a cool hundred rationality meetups over the last two years. As the advice is objectionable (in that, I can see reasonable people disagreeing), […]

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Why the next 24 months represent not an upgrade cycle, but an architectural transformation in human-AI symbiosis The Fallacy of Linear Extrapolation When analyzing AI trajectory predictions, most analysts fall into the trap of linear extrapolation — projecting current capabilities forward at constant rates. The predictions outlined in the source document, while appearing speculative, actually reveal something more profound: we’re approaching an architectural phase transition in how intelligence itself is deployed in human systems. Let me be explicit about what’s technically […]

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