FeelCool

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FeelCool

The FeelCool editorial team covers AI, gadgets, software, cybersecurity and the business of tech. We test products hands-on, explain complex topics in plain English and follow a strict editorial policy on accuracy and independence.

AI

Runway Gen-4 for professional video production

Runway Gen-4 serves as a primary tool for filmmakers following Lionsgate's AI integration and OpenAI's discontinuation of Sora. The platform offers advanced motion control and character consistency, with the Pro plan providing 2,250 monthly credits for diverse model access.

Software & Apps

Snowflake Cortex AI architecture vs Databricks

Snowflake integrates the 480-billion parameter Arctic model directly into its data platform for governed AI. While Databricks offers 3.4x better price/performance for ETL, Snowflake provides superior semantic automation, reducing data modeling projects by up to 81%.

Mobile & Gadgets

Magnetic charging for the OnePlus 13

Since the OnePlus 13 lacks native Qi2 magnets, using a magnetic case enables compatibility with MagSafe accessories. Users can achieve up to 50W wireless charging speeds when pairing the device with an official 80W or higher adapter.

Cybersecurity

Common mistakes with Okta Identity Threat Protection

Learn how improper configuration and session hijacking vulnerabilities led to an 84 million dollar revenue loss for MGM. This analysis covers technical flaws in delegated authentication and essential deployment requirements for Okta Identity Threat Protection.

Software & Apps

The trajectory of OpenAI reasoning models

OpenAI faces intense competition as DeepSeek-R1 offers costs 20 times lower than o1. While OpenAI shifts focus to o3-pro for science and math, DeepSeek prepares a 1.2 trillion parameter R2 model despite hardware challenges.

AI

Common mistakes with Cohere Command R+ enterprise RAG deployment

Avoid deployment failures by implementing seven essential components like hierarchical chunking and freshness filters. Since 70% to 80% of enterprise RAG projects fail before production, teams must move beyond simple tutorials to build robust, evaluated pipelines.