arXiv:2512.17374v3 Announce Type: replace Abstract: Given a probability distribution $mu$ in $mathbb{R}^d$ represented by data, we study in this paper the generative modeling of the corresponding conditional probability distributions on the level-sets of a collective variable $xi:mathbb{R}^d rightarrow mathbb{R}^k$, where $1 le k

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Active Few-Shot Learning (AFSL) adapts LLMs to specialized domains by identifying the most valuable unlabeled samples for annotation and use as few-shot demonstrations, effectively reducing human annotation costs while promoting high performance. However, existing methods typically rely on output-level signals for sample identification, such as predictive entropy or semantic similarities with test-time data based on external embeddings, which often overlook models’ internal dynamics, which could pinpoint specific knowledge gaps. To bridge this gap, we propose NeuFS, a Neuron-Aware […]

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## What is Agentic Testing? By @qatech [ 6 Min read ] If your test suite breaks every time a button moves, a div changes, or – gods forbid – an A/B test runs, is it really testing anything? Read More. Pretext Does What CSS […]

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arXiv:2603.08257v1 Announce Type: new Abstract: Machine learning models involving discrete latent variables require gradient estimators to facilitate backpropagation in a computationally efficient manner. The most recent addition to the Straight-Through family of estimators, ReinMax, can be viewed from a numerical ODE perspective as incorporating an approximation via Heun’s method to reduce bias, but at the cost of high variance. In this work, we introduce the ReinMax-Rao and ReinMax-CV estimators which incorporate Rao-Blackwellisation and control variate techniques into ReinMax […]

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When OpenAI’s list of its top 30 customers by token consumption surfaced across social channels, the immediate reaction focused on who appeared on the list. But the more important insight came from the pattern: a mix of large, mature enterprises and fast-moving AI-native startups all consuming tokens at similar scales. This wasn’t a leaderboard of experimentation. It was a snapshot of where cognition-heavy work is already being automated—and where AI has quietly become embedded infrastructure. It’s also important to understand […]

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IBM and Red Hat’s May 28 announcement of Project Lightwell puts a hard dollar figure behind a problem security leaders have been feeling for years. The companies are committing $5 billion to help secure open-source software through AI-assisted validation, patching and engineering support, backed by more than 20,000 engineers and positioned as a trusted enterprise clearinghouse for open-source security. That scale matters because the risk is no longer limited to software teams. IBM noted that more than 90% […]

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