February 2026

Free Claude Max for (large project) open source maintainers Anthropic are now offering their $200/month Claude Max 20x plan for free to open source maintainers… for six months… and you have to meet the following criteria: Maintainers: You’re a primary maintainer or core team member of a public repo with 5,000+ GitHub stars or 1M+ monthly NPM downloads. You’ve made commits, releases, or PR reviews within the last 3 months. Don’t quite fit the criteria If you maintain […]

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We present improved learning-augmented algorithms for finding an approximate minimum spanning tree (MST) for points in an arbitrary metric space. Our work follows a recent framework called metric forest completion (MFC), where the learned input is a forest that must be given additional edges to form a full spanning tree. Veldt et al. (2025) showed that optimally completing the forest takes $Ω(n^2)$ time, but designed a 2.62-approximation for MFC with subquadratic complexity. The same method is a $(2γ+ […]

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Reconstructing fluid flows from sparse sensor measurements is a fundamental challenge in science and engineering. Widely separated measurements and complex, multiscale dynamics make accurate recovery of fine-scale structures difficult. In addition, existing methods face a persistent tradeoff: high-accuracy models are often computationally expensive, whereas faster approaches typically compromise fidelity. In this work, we introduce BLISSNet, a model that strikes a strong balance between reconstruction accuracy and computational efficiency for both flow reconstruction and nudging-based data assimilation. The model […]

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Modern microscopy routinely produces gigapixel images that contain structures across multiple spatial scales, from fine cellular morphology to broader tissue organization. Many analysis tasks require combining these scales, yet most vision models operate at a single resolution or derive multi-scale features from one view, limiting their ability to exploit the inherently multi-resolution nature of microscopy data. We introduce MuViT, a transformer architecture built to fuse true multi-resolution observations from the same underlying image. MuViT embeds all patches into […]

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Federated learning (FL) is an effective paradigm for distributed environments such as the Internet of Things (IoT), where data from diverse devices with varying functionalities remains localized while contributing to a shared global model. By eliminating the need to transmit raw data, FL inherently preserves privacy. However, the heterogeneous nature of IoT data, stemming from differences in device capabilities, data formats, and communication constraints, poses significant challenges to maintaining both global model performance and privacy. In the context […]

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Earlier this week in our HackerNoon editorial meeting, we noticed an interesting pattern. We were reviewing the top-performing stories from the past two weeks, and couldn’t help but notice an interesting trend. https://hackernoon.com/welcome-to-the-museum-of-ai-hallucinations?embedable=true https://hackernoon.com/i-traded-my-sketchpad-for-a-prompt-boxand-art-will-never-be-the-same?embedable=true https://hackernoon.com/anyone-can-be-a-victim-to-a-phishing-scam-heres-mine?embedable=true https://hackernoon.com/why-everyone-is-panic-buying-mac-minis-for-openclaw-moltbot-clawdbot?embedable=true https://hackernoon.com/how-anonymous-instagram-stories-viewing-changed-my-social-media-strategy?embedable=true Are you seeing what we’re seeing? Here’s a hint—the leaderboard was full of specific, lived experiences. We’ve got an artist talking about making digital art in the age of AI; an observation on why people were panic-buying Mac minis; a PSA […]

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Optimizing the consolidation process in container-based fulfillment centers requires trading off competing objectives such as processing speed, resource usage, and space utilization while adhering to a range of real-world operational constraints. This process involves moving items between containers via a combination of human and robotic workstations to free up space for inbound inventory and increase container utilization. We formulate this problem as a large-scale Multi-Objective Reinforcement Learning (MORL) task with high-dimensional state spaces and dynamic system behavior. Our […]

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Welcome to the latest HackerNoon Projects of the Week installment. Each week, we shine a light on standout projects from our Proof of Usefulness Hackathon—a contest built around the core question every builder should answer: Is my product actually useful in the real world? For each edition, we’ll highlight projects that demonstrate clear usefulness, technical execution, and real-world impact; all backed by data and not witty buzzwords. This week, we’re excited to share three projects that have proven […]

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