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Daily Edition · Page 4

THE DAILY INDEX

Technology, AI, software, security, crypto and business

ARTICLES & TUTORIALS

TLDR Dev

TLDR Dev

EXPLOITING VULNERABILITIES IN JOHNSON & JOHNSON WEB APPS

Two vulnerabilities were identified in Johnson & Johnson's web applications, one affecting a campus recruiting system that exposed nearly 1,000 students' details, and the other allowing administrative takeover of an internal audit system used by 20 companies. The campus recruiting vulnerability came from a simple misconfiguration where an API key was used instead of proper token authentication, while the audit system's flaw involved unauthenticated access to sensitive employee information through poorly secured APIs.

eaton-works.com · 6 min

TLDR Dev

THE ANNOTATED PYTORCH TRAINING LOOP

To build an effective training loop in PyTorch, it's necessary to understand the order and placement of various operations, as misplaced lines can lead to issues such as failed convergence or excessive memory usage. This includes setting up the model, loss function, optimizer, and data loader, followed by executing the training and validation phases while managing gradients through techniques like gradient clipping and learning rate scheduling.

idlemachines.co.uk · 31 min

TLDR Dev

YOU CAN'T UNIT TEST FOR TASTE

The development of the app "In the Long Run" allows runners to engage in virtual runs across popular global routes, tracking their progress on interactive maps. A key aspect of the app is improving these maps with points of interest, which led to the creation of a data processing pipeline that filters a dataset to identify and serve relevant landmarks based on user-defined parameters. However, it was challenging to automate aspects of taste and accuracy with AI.

dev.karltryggvason.com · 12 min

TLDR Dev

EVERY TEAM IS BUILDING THE SAME CACHE

Many companies working with cloud compute workloads repeatedly face the issue of unnecessary delays caused by slow data access, leading infrastructure teams to build caching solutions from scratch, even though these solutions ultimately converge on similar designs. The increasing reliance on ephemeral computing instances and the growing size of data make this problem worse, resulting in multiple teams devising their own proprietary caching methods without sharing them.

tierfs.com · 9 min

TLDR IndexPage 4