The more sinsiter aspect is that every confidential document and internal process you feed these models teaches them exactly how your business wins. The labs collect the token fee and the compounding intelligence....... Then that stolen alpha gets repackaged, or distilled, and sold back to you, your competitors, or worse.It's the same playbook foreign labs run on American models via API queries. Enterprises are now doing it to themselves, at premium prices, while subsidizing the tools that commo

$13k in 9 days. 😅I have been live streaming myself building CNVS ( a mac os app built from the ground up in swift for raw performance on apple hardware ) every day for 46 days now. nividia parakeet runs locally inside the app and makes spawning agents happen in less than 300ms. I added an option for gpt realtime 2 to make the app conversational like jarvis. it uses your existing ai subs ( claude code, codex, cursor, etc.. ) so you don't pay api pricing. the hermes integration, the canvases that

$AMD| Enterprises are accelerating Agentic AI 🧵Not Financial Advice! DYOR!1. EPYC CPUs: The Orchestration and Control BackboneAgentic AI workloads differ from traditional training-focused AI. They involve complex, multi-step workflows: intent interpretation, planning, tool-calling (APIs, databases, code execution in sandboxes), multi-agent coordination, state management, policy enforcement, and observation/feedback loops. @AMD has explicitly highlighted that agentic AI is driving a “CPU renaiss