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kapilansh

@kapilansh_twt

AI lab salaries in 2026: OpenAI → $640k median total comp Anthropic → up to $690k for research engineers Google DeepMind → packages reaching $893k Meta AI → $100M offers to pull talent from OpenAI The engineers getting these numbers all have one thing in common They don't just use AI. They build it from scratch. "Stanford CS336 – Language Modeling from Scratch 2025" by Percy Liang is the only course that bridges that gap Free on YouTube. Spring 2025. Stanford's most cutting edge AI course You don't just learn how LLMs work. You build one: • Transformer architecture – built from scratch using only PyTorch primitives, zero shortcuts • Training at scale – distributed training across GPUs the way OpenAI actually does it • Flash Attention – the optimization that made modern LLMs possible to train • Scaling laws – predicting model performance before spending millions on compute • Fine tuning & alignment – how a raw model becomes something humans can actually use Everyone is using the black box The engineers building it are getting $640k+ That's the gap. That's the salary difference

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kapilansh

@kapilansh_twt

reposts appreciated 🙏🙏🙏

kapilansh

@kapilansh_twt

check this too: <a target="_blank" href="https://x.com/kapilansh_twt/status/2032873665843572866?s=20" color="blue">x.com/kapilansh_twt/…</a>

kapilansh

@kapilansh_twt

<a target="_blank" href="https://x.com/kapilansh_twt/status/2033035596030161281?s=20" color="blue">x.com/kapilansh_twt/…</a>

kapilansh

@kapilansh_twt

<a target="_blank" href="https://x.com/kapilansh_twt/status/2033071716097011792?s=20" color="blue">x.com/kapilansh_twt/…</a>

kapilansh

@kapilansh_twt

<a target="_blank" href="https://x.com/kapilansh_twt/status/2033137527624991143" color="blue">x.com/kapilansh_twt/…</a>