technocracy

We propose LSCP, a self-gated post-training framework for autonomous knowledge acquisition: learning only what a model does not already know, verified against what it does know, at a strength proportional to conviction, with no external oracle. When a passage produces anomalously high per-token loss, LSCP flags it, generates a Q&A chain that forces the model to articulate its own knowledge and identify gaps, then adjusts AdamW’s $β_2$ proportionally to conviction depth k (the number of self-verification steps the […]

Ver mais

This technical case study explores the architectural transition from monolithic systems to a resilient Microservices framework using Domain-Driven Design (DDD). It details the strategy for managing high-stakes tax compliance across multiple international jurisdictions for global enterprises. Key takeaways include implementing Bounded Contexts to isolate regulatory logic, ensuring 100% operational uptime through fault isolation, and scaling infrastructure to handle massive transaction volumes.

Ver mais

Large Reasoning Models (LRMs) achieve impressive performance on complex reasoning tasks via Chain-of-Thought (CoT) reasoning, which enables them to generate intermediate thinking tokens before arriving at the final answer. However, LRMs often suffer from significant overthinking, spending excessive compute time even after the answer is generated early on. Prior work has identified the existence of an optimal reasoning length such that truncating reasoning at this point significantly shortens CoT outputs with virtually no change in performance. However, determining […]

Ver mais

Emergent cooperation in classical Multi-Agent Reinforcement Learning has gained significant attention, particularly in the context of Sequential Social Dilemmas (SSDs). While classical reinforcement learning approaches have demonstrated capability for emergent cooperation, research on extending these methods to Quantum Multi-Agent Reinforcement Learning remains limited, particularly through communication. In this paper, we apply communication approaches to quantum Q-Learning agents: the Mutual Acknowledgment Token Exchange (MATE) protocol, its extension Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange (MEDIATE), the peer rewarding mechanism […]

Ver mais

How are you, hacker? 🪐 What’s happening in tech today, May 2, 2026? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Electric Theatre opened in 1902, and we present you with these top quality stories. From HackerNoon Projects of the Week: MealRoaster, WayaVPN, and DeepSearch to Vibe Coding is Gambling, let’s dive right in. What Happens When Crypto Communities and Their Developers Disagree By @obyte [ 5 Min read ] When crypto […]

Ver mais

arXiv:2604.05114v1 Announce Type: new Abstract: We study a pipeline that curates reasoning data from initial structured data for improving long-context reasoning in large language models (LLMs). Our approach, $pi^2$, constructs high-quality reasoning data through rigorous QA curation: 1) extracting and expanding tables from Wikipedia, 2) from the collected tables and relevant context, generating realistic and multi-hop analytical reasoning questions whose answers are automatically determined and verified through dual-path code execution, and 3) back-translating step-by-step structured reasoning traces as […]

Ver mais

The constant experimentation amidst large language models continues to reshape expectations. While Anthropic released Claude 5 and Mythos 5, OpenAI is at the epicenter of speculation surrounding the unreleased model GPT 5.6. Though OpenAI has not officially declared its release, developer communities have speculated through internal testing. These revelations offer signals of what GPT 5.6 may contain, what the users can expect from it, and how it compares to Anthropic’s Mythic-class models. ​What Leaks Suggest About GPT 5.6 […]

Ver mais

Amazon launches private AI bug bounty to strengthen Nova models Partnering with professional security researchers and the academic community to build safer, more robust AI. Security, privacy, and abuse prevention Staff writer November 11, 12:20 PM November 11, 12:20 PM Today, Amazon announced the launch of a private AI bug bounty program for select Amazon AI models and applications, including the Amazon Nova foundation models. The goal is to engage with security researchers and experts at leading universities […]

Ver mais