Agentify Your App with GitHub Copilot’s Agentic Coding SDK
For years, GitHub Copilot has served as a powerful pair programming tool for programmers, suggesting the next line of code.
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technocracy
Scientists crack the case of “screeching” Scotch tape
Scotch tape has been a household mainstay for nearly a century, but it still holds some scientific surprises. Researchers have discovered that the screeching sound emitted when one rapidly peels Scotch tape—akin to the screech of fingernails on a chalkboard—is the result of shock waves produced by micro-cracks propagating along the tape at supersonic speeds, according to a new paper published in the journal Physical Review E. It was a 3M engineer named Richard Drew who developed the […]
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On the Entropy Calibration of Language Models
arXiv:2511.11966v2 Announce Type: replace-cross Abstract: We study the problem of entropy calibration, which asks whether a language model’s entropy over generations matches its log loss on human text. Past work found that models are miscalibrated, with entropy per step increasing as generations grow longer, due to error accumulation. To calibrate the model and improve text quality, it has become standard practice to truncate the distribution, but this approach reduces output diversity, which we would like to avoid. Therefore, […]
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Fast and Effective On-policy Distillation from Reasoning Prefixes
arXiv:2602.15260v1 Announce Type: new Abstract: On-policy distillation (OPD), which samples trajectories from the student model and supervises them with a teacher at the token level, avoids relying solely on verifiable terminal rewards and can yield better generalization than off-policy distillation. However, OPD requires expensive on-the-fly sampling of the student policy during training, which substantially increases training cost, especially for long responses. Our initial analysis shows that, during OPD, training signals are often concentrated in the prefix of each […]
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Quoting Adam Wathan
[…] the reality is that 75% of the people on our engineering team lost their jobs here yesterday because of the brutal impact AI has had on our business. And every second I spend trying to do fun free things for the community like this is a second I’m not spending trying to turn the business around and make sure the people who are still here are getting their paychecks every month. […] Traffic to our docs is […]
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Agentic Workflow Using RBA$_theta$ for Event Prediction
arXiv:2602.06097v1 Announce Type: new Abstract: Wind power ramp events are difficult to forecast due to strong variability, multi-scale dynamics, and site-specific meteorological effects. This paper proposes an event-first, frequency-aware forecasting paradigm that directly predicts ramp events and reconstructs the power trajectory thereafter, rather than inferring events from dense forecasts. The framework is built on an enhanced Ramping Behaviour Analysis (RBA$_theta$) method’s event representation and progressively integrates statistical, machine-learning, and deep-learning models. Traditional forecasting models with post-hoc event extraction […]
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A Developer’s Guide to Building Next-Gen Smart Wallets With ERC-4337 — Part 2: Bundlers
In Part 1, a smart account was deployed and the first UserOperation successfully executed through the EntryPoint. At that point, everything worked — but a critical part of the system stayed mostly invisible: the bundler. Bundlers are the bridge between account abstraction and the Ethereum execution layer. They take UserOperations from a separate mempool, pay gas costs upfront, and get reimbursed through the protocol. Understanding how they work—the validation rules, reputation system, and economic incentives—is essential for debugging […]
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The HackerNoon Newsletter: AI Coding Tip 006 – Review Every Line Before You Commit (2/13/2026)
How are you, hacker? 🪐 What’s happening in tech today, February 13, 2026? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, we present you with these top quality stories. From OpenClaw After the Hype: A Real-World Test of a “Do-Anything” AI Assistant to AI Coding Tip 006 – Review Every Line Before You Commit, let’s dive right in. OpenClaw After the Hype: A Real-World Test of a “Do-Anything” AI Assistant By @navigatingnoise […]
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Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals
arXiv:2601.17103v1 Announce Type: new Abstract: Performance uncertainty quantification is essential for reliable validation and eventual clinical translation of medical imaging artificial intelligence (AI). Confidence intervals (CIs) play a central role in this process by indicating how precise a reported performance estimate is. Yet, due to the limited amount of work examining CI behavior in medical imaging, the community remains largely unaware of how many diverse CI methods exist and how they behave in specific settings. The purpose of […]
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FedAdaVR: Adaptive Variance Reduction for Robust Federated Learning under Limited Client Participation
Federated learning (FL) encounters substantial challenges due to heterogeneity, leading to gradient noise, client drift, and partial client participation errors, the last of which is the most pervasive but remains insufficiently addressed in current literature. In this paper, we propose FedAdaVR, a novel FL algorithm aimed at solving heterogeneity issues caused by sporadic client participation by incorporating an adaptive optimiser with a variance reduction technique. This method takes advantage of the most recent stored updates from clients, even […]
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