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Jensen Huang — CEO of NVIDIA, the company worth over $3.5 trillion — just set a new performance benchmark for his engineers. Not lines of code. Not features shipped. 🧠 Token spend. At the All-In Podcast, filmed on the last day of GTC 2026, he laid it out:
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Andrej Karpathy's explaination of Bigram Language Model explained Bigram LMs, though simple, it provides powerful insight into the inner mechanics of how tokens are processed in language models. This is a pre-amble for what's next: GPT, which is the 2nd part of the series The Bigram model here incorporates: Tokenization, Vocabulary, Negative Loss Function, Cross Entropy, Logits, SoftMax, Optimizer, and AdamW These are essential ingredients to understand in order to build our knowledge on how LLM
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Gemini 3.5 Live Translate es el nuevo modelo de Google para traducir voz casi en tiempo real. Te enseño a usarlo en Google AI Studio para doblar en directo un vídeo y en la app Traductor de Google con el modo escucha y conversación. Además, esta tecnología también se integra en Google Meet para reducir las barreras de idioma en videollamadas. ¿Qué te parece?
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🚨 THIS TOOL CUTS CLAUDE TOKEN USAGE BY UP TO 95% Headroom is a free open-source compressor that shrinks everything your agent reads before it hits the LLM. Ships with: • Compresses tool outputs, logs, files & history • One command to wrap Claude Code, Codex, Cursor • Shared memory across multiple agents • Fully reversible (originals cached) • Same answers, fraction of the tokens Massive win for long agent sessions and heavy tool use. 👉 https://github.com/headroomlabs-ai/headroom Who’s cutting
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