3 AI Stories That Broke Last Week —AI Big Tech ማናወጡን አላቆመም — What Every ML Engineer Needs to Know

AI is still shaking Big Tech — and last week gave us 3 stories that prove it. Here's what they actually mean for your career. 🔥 WHAT'S IN THIS VIDEO: Last week: Google signed an $11B/year GPU deal with SpaceX. Apple rebuilt Siri on Google's Gemini — using distillation, RAG, and fine-tuning. Anthropic restricted a frontier model after Amazon's red team exposed dual-use security risks. I break down the real architecture, the real metrics, and the 6 predictions I made about RAG, fine-tuning, LLMOps, SLMs, MLOps, and evaluation that are all confirmed live this week. 💡 KEY TOPICS COVERED: → Why Google is renting GPUs from a rocket company ($11B/year) → Apple's real Siri AI architecture: distillation, on-device RAG, LoRA fine-tuning, orchestrator → Why Apple is NOT just wrapping Gemini — it's a production AI system → Fable 5 red-teaming: ASR, Refusal Rate, Robustness Gap — the safety metrics you need to know → Why "AI replacing engineers" is the hype — and what the $500M/month reality looks like → The 3-layer production AI stack: SLM + RAG + LLMOps → Portfolio projects that get you hired as an MLE/AIE in 2026 #techtalkwithsolomon #ebs #mensurabdulkeni #seifufantahun ‪@aiDotEngineer‬ #bigtech #faang#mlops#llmops#