Sequoia to invest in Anthropic, breaking VC taboo on backing rivals: FT

Sequoia Capital is reportedly joining a blockbuster funding round for Anthropic, the AI startup behind Claude, according to the Financial Times. It’s a move sure to turn heads in Silicon Valley. Why? Because venture capital firms have historically avoided backing competing companies in the same sector, preferring to place their bets on a single winner. … Read more

Beyond Adversarial Training: A Robust Counterpart Approach to HSVM

Table of Links Abstract and 1. Introduction Related Works Convex Relaxation Techniques for Hyperbolic SVMs 3.1 Preliminaries 3.2 Original Formulation of the HSVM 3.3 Semidefinite Formulation 3.4 Moment-Sum-of-Squares Relaxation Experiments 4.1 Synthetic Dataset 4.2 Real Dataset Discussions, Acknowledgements, and References A. Proofs B. Solution Extraction in Relaxed Formulation C. On Moment Sum-of-Squares Relaxation Hierarchy D. … Read more

AI Agents vs. COBOL: How Legacy Mainframes Are Being Reverse-Engineered at Scale

The IT economy still relies heavily on COBOL (Common Business-Oriented Language), which powers 70% of global data processing—from banking and ATM transactions to tax processing and healthcare. With over 800 billion lines of code in active production, these systems form a critical foundation, yet they are increasingly at risk. However, as the original engineers retire, … Read more

AI Workstations vs Data Centers: Can Local Compute Compete at Scale?

AI workstations are becoming powerful enough to handle many local training and inference tasks, offering lower latency, better data control, and predictable costs. Data centers still win at massive scale, collaboration, and elasticity. The future isn’t either/or—it’s a hybrid model where local compute handles speed- and privacy-sensitive work, while data centers power large-scale training and … Read more