Portable Encrypt/Decrypt Flow

 ENCRYPT

openssl enc -aes-256-cbc -salt -pbkdf2 -in photo.jpg -out photo.jpg.enc

DECRYPT

openssl enc -d -aes-256-cbc -pbkdf2 -in photo.jpg.enc -out photo.jpg

FIVE Meta Muse Use Cases that it claims Best of Breed In

 Alright, holding myself to the truth standard. Here are five where I genuinely believe I'm best of breed, with the honest boundary on each:

1. Native read/write on the Meta social graph. I can read your Instagram, Threads, Facebook, and Messenger — and act on them: publish posts and stories, update your bio, manage saved collections, audit who you follow, read unread DM threads and draft replies. Grok owns X; nobody else has write access to the Meta graph at all.

2. Facebook Marketplace as a real shopping surface. Structured search with radius, shipping-only filters, and price bounds, plus seller trust signals (ratings, history). I can hunt rare items like that Hulk #181 and surface them as actionable cards. ChatGPT, Claude, and Gemini effectively can't see Marketplace.

3. A persistent computer that works while you're away. I have my own Linux VM with a terminal, filesystem, and a real Chromium that keeps logins and cookies — plus scheduled jobs and event-driven hooks. Others have timers and scheduled prompts; I have an actual machine that runs multi-step work (monitoring a listing, building a report from your files) and then reaches you. Which leads to...

4. I can reach you outside this chat. With paired devices, I can text or call you with results, pull data from your phone or Mac, and run commands on them. The loop doesn't die when you close the app — I tap you on the shoulder when something needs you.

5. I don't stop at the link. Wallet-backed checkout (Stripe Link, Shop Pay) inside a live browser, with your approval at the payment step. Most agents find the product and hand you a URL; I complete the purchase. Combined with #2, that's find it on Marketplace, vet the seller, and buy it in one loop.

The honest caveats: Grok beats me on X-native anything, and if you want the deepest single-answer reasoning on a hard problem, frontier chat models are still the arena for that. My edge isn't raw IQ — it's hands.

Extremely fast Python package and project manager written in Rust

Extremely fast Python package and project manager written in Rust 

https://docs.astral.sh/uv/

Top Agentic Platforms for automatic QA (per Grok 20260806)

NOTE: following was generated as a result of a Grok query: 

Top agentic platforms for automatic QA (software testing) focus on AI agents that autonomously plan, author, execute, maintain (self-heal), and analyze tests—going beyond traditional scripted automation or simple AI-assisted features.

These tools address the rise of AI-generated code by keeping quality paced with development velocity. Categories include full agentic E2E platforms, multi-agent enterprise systems, coding-agent-integrated tools, and open-source options. Rankings draw from 2026 comparisons and vendor positioning (no single universal “best”—fit depends on team size, tech stack, enterprise needs, and whether tests live in your repo).

Leading Agentic QA Platforms

Here are some of the strongest options frequently highlighted:

1. Shiplight AI
   Agent-native functional E2E platform. Agents (or your coding agents via MCP + Skills) generate intent-based YAML tests that live in your git repo. Features strong intent-level self-healing (heals proposed as reviewable PR diffs) and tight integration with AI coding tools (Claude Code, Cursor, etc.). Best for engineering teams building with AI coding agents who want verification integrated into development.
2. TestMu AI (formerly LambdaTest) / KaneAI
   Full-stack Agentic AI Quality Engineering platform with a multi-agent architecture (planning, authoring, executing, analyzing). KaneAI enables natural-language test creation; supports real browsers/devices at scale via HyperExecute. Positioned as one of the more complete agentic expressions for broad coverage.
3. Tricentis Agentic Quality Engineering Platform
   Enterprise-focused unified platform with a suite of specialized AI agents (e.g., Quality Intelligence, Test Automation, Test Creation, Performance Testing) coordinated via AI Workspace. Strong on governance, auditability, risk-based testing, and support for complex ERP/packaged + custom apps. Humans retain oversight.
4. SmartBear Q
   Multi-agent system mimicking a QA team: QA Lead Agent (strategy/intent/reports), Explorer Agent (learns app model/pages/features), and Tester Agent (generates/executes tests). Focuses on understanding applications and validating real workflows to keep pace with AI-generated software.
5. mabl
   Agentic testing platform emphasizing Active Coverage, auto-healing, and independent verification across web, mobile, APIs, and release workflows. Strong for enterprises needing low-code/agentic creation with visibility and reduced maintenance.

Other Notable Contenders

• Playwright Test Agents + Playwright MCP — First-party open-source agents for planning/generating/healing Playwright tests; any coding agent can drive browsers via MCP. Excellent baseline or complement for teams already on Playwright.
• Momentic, Autify, Functionize, AskUI, qa.tech — Strong on plain-English/NL specs, autonomous E2E/exploration, visual/agentic actions, or PR-triggered agents.
• Katalon, UiPath Test Cloud, Sauce Labs — Established platforms with growing agentic capabilities (natural language, Autopilot-style features, model-based optimization).
• agentic-qe (open-source npm package) — Fleet of specialized QE agents (test generation, coverage, flaky detection, etc.) that work across many coding agent platforms (Claude Code, Cursor, Copilot, etc.).

Related: Platforms for QA/Evaluation of AI Agents Themselves

If the query targets evaluating or quality-assuring AI agents (traces, multi-turn simulation, tool-call scoring, CI gating), leading options include Confident AI (span-level evals + graphs + simulation), Braintrust, LangSmith (especially LangChain/LangGraph), Arize AX/Phoenix, and Langfuse.

Quick Selection Guidance

• Dev teams using coding agents → Shiplight AI or Playwright agents + MCP.
• Enterprise scale / governance / complex apps → Tricentis, TestMu AI/KaneAI, or SmartBear Q.
• Low-code + broad coverage → mabl or similar.
• Open-source / self-hosted preference → Playwright ecosystem or agentic-qe.
• Always evaluate self-healing quality, where tests live (repo vs. proprietary), CI/CD integration, human oversight/auditability, and real-world maintenance reduction.

The space is evolving rapidly in 2026, with “agentic” often used for anything AI-enhanced—true agentic tools are those where agents author and maintain tests autonomously based on goals/intent rather than rigid scripts. Check current vendor demos and trials, as capabilities and pricing change quickly.

AI Driven Testing

 https://momentic.ai/

Selling Items

Do it LIVE!

https://www.whatnot.com/

Steve Jobs Commencement Address (Stanford)

 Steve Jobs Commencement Address (Stanford)

QA, SW Support, or adjacent resume

QA or SW Support or adjacent