February 2026

Need some guidance on building up my research career in RL

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Hi. I am an undergrad (school of 2027), greatly interested in RL. I came across RL in the second year of my undergrad, and it greatly fascinated me. I will be starting off with the RL courses (online ofc) from the next semester (currently studying Deep Learning). As I want to become a Research Scientist in the future, I want to know how to prepare along my courses to surely get an MS (Research) or PhD abroad (in […]

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Build AI workflows on Amazon EKS with Union.ai and Flyte

Build AI workflows on Amazon EKS with Union.ai and Flyte

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As artificial intelligence and machine learning (AI/ML) workflows grow in scale and complexity, it becomes harder for practitioners to organize and deploy their models. AI projects often struggle to move from pilot to production. AI projects often fail not because models are bad, but because infrastructure and processes are fragmented and brittle, and the original pilot code base is often forced to bloat by these additional requirements. This makes it difficult for data scientists and engineers to quickly […]

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Zero grip, maximum fun: A practical guide to getting into amateur ice racing

Zero grip, maximum fun: A practical guide to getting into amateur ice racing

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In Formula One, grip is everything. The world’s best engineers devote their careers to designing cars that maximize downforce and grip to squeeze every bit of performance out of a set of four humble tires. These cars punish their drivers by slinging them at six Gs through corners and offer similar levels of abuse in braking. It’s all wildly impressive, but I’ve long maintained that those drivers are not the ones having the most fun. When it comes […]

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Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models

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Learning from self-sampled data and sparse environmental feedback remains a fundamental challenge in training self-evolving agents. Temporal credit assignment mitigates this issue by transforming sparse feedback into dense supervision signals. However, previous approaches typically depend on learning task-specific value functions for credit assignment, which suffer from poor sample efficiency and limited generalization. In this work, we propose to leverage pretrained knowledge from large language models (LLMs) to transform sparse rewards into dense training signals (i.e., the advantage function) […]

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Learning with Boolean threshold functions

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We develop a method for training neural networks on Boolean data in which the values at all nodes are strictly $pm 1$, and the resulting models are typically equivalent to networks whose nonzero weights are also $pm 1$. The method replaces loss minimization with a nonconvex constraint formulation. Each node implements a Boolean threshold function (BTF), and training is expressed through a divide-and-concur decomposition into two complementary constraints: one enforces local BTF consistency between inputs, weights, and output; […]

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Amazon Quick Suite now supports key pair authentication to Snowflake data source

Amazon Quick Suite now supports key pair authentication to Snowflake data source

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Modern enterprises face significant challenges connecting business intelligence platforms to cloud data warehouses while maintaining automation. Password-based authentication introduces security vulnerabilities, operational friction, and compliance gaps—especially critical as Snowflake is deprecating username password. Amazon Quick Sight (a capability of Amazon Quick Suite) now supports key pair authentication for Snowflake integrations, using asymmetric cryptography where RSA key pairs replace traditional passwords. This enhancement addresses a critical need as Snowflake moves toward deprecating password-based authentication, which requires more secure authentication […]

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El juicio a Zuckerberg es solo la punta del iceberg: por qué Meta, X y TikTok son estructuralmente tóxicas para la democracia

El juicio a Zuckerberg es solo la punta del iceberg: por qué Meta, X y TikTok son estructuralmente tóxicas para la democracia

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En la sala del Tribunal Superior de Los Ángeles, bajo la presidencia de la jueza Carolyn B. Kuhl, Mark Zuckerberg ha tenido que escuchar cómo se le recuerdan sus propias decisiones. No se trata de una comparecencia amistosa ante el Congreso ni de una entrevista cuidadosamente preparada. Es un juicio con jurado, con documentos internos proyectados en pantalla y con víctimas que afirman que el diseño de sus productos contribuyó a su deterioro psicológico. Pero si reducimos lo […]

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SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery

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Generalized Category Discovery (GCD) aims to identify novel categories in unlabeled data while leveraging a small labeled subset of known classes. Training a parametric classifier solely on image features often leads to overfitting to old classes, and recent multimodal approaches improve performance by incorporating textual information. However, they treat modalities independently and incur high computational cost. We propose SpectralGCD, an efficient and effective multimodal approach to GCD that uses CLIP cross-modal image-concept similarities as a unified cross-modal representation. […]

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OpenClaw security fears lead Meta, other AI firms to restrict its use

OpenClaw security fears lead Meta, other AI firms to restrict its use

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Last month, Jason Grad issued a late-night warning to the 20 employees at his tech startup. “You’ve likely seen Clawdbot trending on X/LinkedIn. While cool, it is currently unvetted and high-risk for our environment,” he wrote in a Slack message with a red siren emoji. “Please keep Clawdbot off all company hardware and away from work-linked accounts.” Grad isn’t the only tech executive who has raised concerns to staff about the experimental agentic AI tool, which was briefly […]

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Why AI in CRM Fails Without a Warehouse-First Architecture

Why AI in CRM Fails Without a Warehouse-First Architecture

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Rebuilding CRM as a Probabilistic Control System Instead of a Campaign Engine When Model Accuracy Is Not Enough In Part 1 of this series, we explored how a warehouse-first composable CDP restores architectural control to modern CRM systems. In Part 2, we examined the Identity Nexus, addressing semantic fragmentation through embedding-based resolution and governed arbitration. These layers provide the essential foundation for structural integrity and identity resolution. Yet across multiple production audits, a deeper pattern consistently emerged: Many AI initiatives […]

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