DeepSeek has everyone freaking out; we'll look at what's legitimately fascinating, what bits have been an overreaction, and the big mistake that made this all possible. Plus, there's some bad news for Java fans.Sponsored By:Bitcoin Well: Bitcoin sent directly to your wallet is the safest way to buy Bitcoin. Immediate settlement, direct to self-custody. Supports the Lightning Network.Coder QA: Take $2 a month off for the lifetime of your membership and contribute to our show directly Promo Code: jarjarSupport Coder RadioLinks:💥 Gets Sats with Strike — Strike is a lightning-powered app that lets you quickly and cheaply grab sats in over 100 countries. Easily integrates with Fountain.fm. Setup your Strike account, and you have one of the world's best ways to buy sats.🇨🇦 Bitcoin Well — The fastest and safest way to buy Bitcoin in Canada and the USA. With self-custody built in. 🥇📻 Boost with Fountain.FM — Boost with Fountain.FM and kick the tires on the Podcasting 2.0 revolution! 🚀Report: 88% of companies are contemplating leaving Oracle Java — 72% of respondents were already thinking about it when surveyed in 2023.State of Java 2025 - Azul Report — Insights from over 2,000 Java users across six continents to reveal 2025 Java trends that are shaping key areas of enterprise technology. Nvidia sheds almost $600 billion in market cap, biggest drop ever — The sell-off, which hit much of the U.S. tech sector, was sparked by concerns about increased competition from Chinese AI lab DeepSeek.DeepSeek’s AI Model Tests Limits of US Curbs on Nvidia Chips DeepSeek-V3 Technical Report — We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, which were thoroughly validated in DeepSeek-V2. Furthermore, DeepSeek-V3 pioneers an auxiliary-loss-free strategy for load balancing and sets a multi-token prediction training objective for stronger performance. We pre-train DeepSeek-V3 on 14.8 trillion diverse and high-quality tokens, followed by Supervised Fine-Tuning and Reinforcement Learning stages to fully harness its capabilities. Comprehensive evaluations reveal t