AI Clones for Business Content: When to Clone Yourself and How to Pilot Safely

The Real McCoy: How and When to Clone Yourself with AI Julia McCoy says she spent a year bedridden with long COVID. An AI version of her, a persona called Dr. McCoy, then published roughly 700 videos and sustained 15 months of her channel’s output. She reports that the channel grew from “20K views a […]

Bitcoin to $1,000,000? Institutions Demand Proof of Quantum Security

Kevin O’Leary Says $1, 000, 000 Bitcoin Is Possible, But Institutions Want Proof on Quantum Security Kevin O’Leary told The Rollup podcast at the Avalanche Summit in New York that Bitcoin could reach $1, 000, 000, but he framed that as conditional. “It will if it can resolve the doubt creeping in around quantum computing, […]

Dream‑RSI: Replay Search Trees to Cut Live Model Generations and Cloud GPU Costs

Paying for generations you don’t need Large‑scale search and synthesis runs can burn thousands of costly model generations, translating directly into GPU minutes and cloud bills. Google and DeepMind’s Dream‑RSI promises a straightforward lever: record what the agent already tried, “dream” through those transcripts offline to test many alternative search policies cheaply, then run the […]

Container and quantizer choices to run 70B models efficiently on constrained hardware

As of June 2026: choose the right container and quantizer, not just a smaller model Running a 70B model on constrained hardware isn’t only a hardware problem. It’s a storage and numeric strategy problem. The combination of file format (how tensors live on disk) and quantization (how weights are shrunk to fewer bits) determines whether […]

Amazon SageMaker Inference 2026: Caching, Token-Level Telemetry and Routing for Production AI

Amazon SageMaker Inference: 2026 year-to-date launches in review Thirteen new capabilities across managed SageMaker AI endpoints and Amazon SageMaker HyperPod Inference in 2026. These releases target the real operational pains of generative AI, such as long weight downloads, token-level latency, cold starts, and weak observability, and push the product beyond “model choice” toward system maturity. […]

AI Policy Split on the Left: Present Harms vs Frontier Governance

Left‑Wing Split: Present Harms vs. Frontier Risk in AI Policy NYC DSA Tech Action Working Group: “AI alarmism and AI hype are the same story: both keep your attention on a science-fiction future to distract you from the real harms experienced in the present.” In early September 2026, a string of high‑profile moments made a […]