technocracy

arXiv:2602.06175v2 Announce Type: replace-cross Abstract: Expand-and-sparsify representations are a class of theoretical models that capture sparse representation phenomena observed in the sensory systems of many animals. At a high level, these representations map an input $x in mathbb{R}^d$ to a much higher dimension $m gg d$ via random linear projections before zeroing out all but the $k ll m$ largest entries. The result is a $k$-sparse vector in ${0,1}^m$. We study the suitability of this representation for two […]

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:::info Astounding Stories of Super-Science, October, 2022, by Astounding Stories is part of HackerNoon’s Book Blog Post series. Title: Astounding Stories of Super-Science, October, 2022 Author: Astounding Stories Release Date: October 2, 2022 [eBook #69087] Updated: November 19, 2024 Language: English THE MURDER OF ROGER ACKROYD ::: TABLE OF LINKS DR. SHEPPARD AT THE BREAKFAST TABLE WHO’S WHO IN KING’S ABBOT THE MAN WHO GREW VEGETABLE MARROWS DINNER AT FERNLY MURDER THE TUNISIAN DAGGER I LEARN MY NEIGHBOR’S PROFESSION […]

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arXiv:2601.20005v1 Announce Type: new Abstract: The urgent need for building decarbonization calls for a paradigm shift in future autonomous building energy operation, from human-intensive engineering workflows toward intelligent agents that interact with physics-grounded digital environments. This study proposes an end-to-end agentic AI-enabled Physics-Informed Machine Learning (PIML) environment for scalable building energy modeling, simulation, control, and automation. The framework consists of (1) a modular and physics-consistent PIML digital environment spanning building thermal dynamics, Heating, Ventilation, and Air Conditioning (HVAC), […]

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Transfer learning plays a vital role in improving model performance in data-scarce scenarios. However, naive uniform transfer from multiple source tasks may result in negative transfer, highlighting the need to properly balance the contributions of heterogeneous sources. Moreover, existing transfer learning methods typically focus on optimizing either the source weights or the amount of transferred samples, while largely neglecting the joint consideration of the other. In this work, we propose a theoretical framework, Unified Optimization of Weights and […]

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disclosure first: i built this and it lives on my tool (8-fold.io), so i’m biased. but the path itself is free to read and i genuinely want it corrected. the gap i kept seeing: people know supervised learning, want to learn RL, and bounce off because the resources assume either too much or too little. so i ordered it: intuition first, then the foundational stuff (spinning up, sutton & barto selectively), then the modern algorithms, with a ‘why […]

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arXiv:2605.15203v1 Announce Type: new Abstract: We introduce Agent4POI, the first POI recommendation framework that generates context-conditioned multimodal representations at recommendation time, rather than relying on static POI embeddings pre-computed independently of context. Existing multimodal systems encode each POI once as a static embedding, a design that precludes reasoning about why the same cafe affords solo work on Monday but group celebration on Friday evening. We formally prove that no pre-computed encoder can satisfy context-sensitive ranking under standard bilinear […]

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arXiv:2602.16745v1 Announce Type: new Abstract: Test-time scaling can improve model performance by aggregating stochastic reasoning trajectories. However, achieving sample-efficient test-time self-consistency under a limited budget remains an open challenge. We introduce PETS (Principled and Efficient Test-TimeSelf-Consistency), which initiates a principled study of trajectory allocation through an optimization framework. Central to our approach is the self-consistency rate, a new measure defined as agreement with the infinite-budget majority vote. This formulation makes sample-efficient test-time allocation theoretically grounded and amenable to […]

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Apple Intelligence is headed to China after regulators approved Apple’s AI services through a partnership with Alibaba. The long-rumored deal will bring Alibaba’s Qwen AI models to Apple’s operating systems, marking a major expansion of the company’s generative AI platform into one of its most important markets.

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Disclaimer While working as a project manager, I often heard comments like: “Why do we even need PMs? What do they actually do? They only talk and nothing more.” It’s a fairly common opinion. So I prepared an article about what PM can actually do (together with their team) and how impactful that work can be for a project. As we PMs and producers love — with numbers, tables and charts. There are three part about Art Pipeline, […]

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Artificial intelligence is moving beyond software and further into the physical side of business. Companies in food production and logistics are starting to use data systems to support day-to-day decisions, not long-term planning. That change is visible in The Hershey Company’s latest strategy update. At its Investor Day, the company said it plans to use AI in its operations, from sourcing analytics to plant automation and fulfilment, with a focus on how the business runs behind the scenes. […]

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