
Today’s episode dives into practical shifts and structural realities shaping AI. We cover the push to unify sales workflows and prioritize rep effectiveness over tool sprawl; the UK’s plan to pre-test AI models for child-safety risks; ESET’s RMM integration for MSPs; OpenAI’s capital crunch versus broader CHIPS Act tax credits; Apple reserving over half of TSMC’s 2nm capacity and the ripple effects on AI compute; reports that Meta’s Yann LeCun plans a world-models startup; Google’s €5.5B AI data center investment in Germany and sustainability scrutiny; advanced feature engineering methods for high-stakes models; rising calls for secret key hygiene; Google’s LearnLM RCT in math tutoring and new education funding; research showing knowledge edits often decay after fine-tuning and that memorization can be separated from reasoning pathways (with math tied to memory); licensed AI voice marketplaces and improved transcription; evolving copyright and attribution norms; Samsung’s ambient AI; Google’s privacy-hardened cloud AI; and KPIT’s momentum in AI-defined vehicles. Three takeaways: prioritize effectiveness, embed safety and governance, and remember AI progress hinges on real-world infrastructure.
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