OpenAI wants to consult elite mathematicians about how to not fumble again

After turning a string of spectacular mathematical results into a reputational crisis, OpenAI is consulting human mathematicians to help it figure out a less disastrous path forward. On Monday, the company announced a new independent panel of mathematicians tasked with advising it and other AI companies on their interactions with mathematical research and the wider … Read more

The Real Value of Event-Driven Architecture Isn’t Technology: It’s Cost Reduction

How Event-Driven Architecture (EDA) Significantly Reduces Enterprise IT Costs In today’s digital world, business users expect new features and services to be delivered faster than ever before, with minimal risk and within increasingly constrained budgets. Unfortunately, traditional Request-Driven Architecture (RDA) often struggles to meet these expectations. As organizations scale, integration complexity, infrastructure costs, and operational … Read more

MapReduce: The Abstraction Layer That Still Shapes How AI Workloads Scale

Every large-scale data pipeline faces the same fundamental challenge: how do you process terabytes of data across thousands of machines without drowning in the operational complexity of coordination, failure recovery, and load balancing? In 2004, Jeffrey Dean and Sanjay Ghemawat addressed this with their paper “MapReduce: Simplified Data Processing on Large Clusters,” published at OSDI … Read more

Rabbit’s new AI agent doesn’t need an R1 to run

Rabbit, the company behind the underwhelming R1 device, is rolling out a standalone AI agent that you don’t need its hardware to use, as reported earlier by Wired. The startup says its new OS3 “agentic operating system” runs in the cloud but operates locally across Windows, Mac, and Linux devices. According to Rabbit, you can … Read more

Understanding GLiFormer’s Benchmarks and Schema-Driven Extraction

Overview gliformer-large-v1 is a 575.6-million-parameter, Apache-2.0 model from knowledgator for schema-driven information extraction and text representation. It uses a shared DeBERTa encoder with task heads for named entity recognition, classification, joint relation extraction, structured records, and text embeddings. Its layout-aware architecture supports text and document-layout inputs, including PDF-oriented processing, but the published examples and evaluation … Read more