what's the Epstein email to Trump? https://www.perplexity.ai/search/what-s-the-epstein-email-to-tr-Ql4AZMODRBu6ZN7hZCC2VA #Epstein #trump
Next PC I'll build will have libreboot and KDE Linux full encrypted (hopefully post quantum), with maxed out ram and GPU for local AI. I guess 2-3 years until then #Linux #AI #KDE #libreboot
c402 Demo - the agentic #bitcoin usecase: How it works: 🥜 Mint tokens to fund your wallet 🥜 Try the paid endpoints 🥜 Tokens are stored locally in your browser 🥜 No accounts, no tracking, just payments #Cashu #nutnovember
Asked Claude to grade my AI literacy based on our conversation history. Got: A+ in AI Security, A in Implementation, but B in Content Creation. The insight? I'm building in private. My AI+blockchain+ZK intersection is rare - need to amplify it more. 30 seconds. 3 action items. #ai
The Self-Learning Clock Is an Ultra-Low-Power ePaper Timepiece That Improves with Age
just submitted my Nut November #Cashu Demo project! A production-ready demonstration of HTTP 402 (Payment Required) using Cashu for privacy-preserving Bitcoin-backed micropayments. Demo: @Cashu #bitcoin
Cashu-402Demo HTTP 402 Payment Required with Cashu Ecash #cashu
Anthropic published an engineering proposal called "Code Execution with MCP" to make Model Context Protocol (MCP) agents "code-first," letting agents generate executable code that a separate harness runs rather than embedding full tool definitions in the LLM context, a change aimed at cutting token usage and making tool calls more efficient. The approach stresses that the agent harness should handle authentication and never expose API tokens to the agent, which proponents say improves security and operational hygiene. Technically, MCP’s requirement for OAuth dynamic client registration (RFC 7591) is highlighted as a key enabler for agents to connect to previously unknown MCPs at runtime. Read more on Kagi: #AI #anthropic
#orchestr8 security research (Claude):
Wow. Enterprise-grade autonomous software orchestration for Claude Code with research-driven development. 79+ specialized agents, 31 automated workflows, 3-6x speedups through parallelism and evidence-based decision making. #Claude #ai