Testing Anthropic Claude's Code and Cowork on macOS: a safe one-machine setup
Step-by-step 60-minute guide to try Anthropic Claude's Code and Cowork macOS automation safely. Set up a one-machine canary, grant minimal permissions, and log actions.
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Step-by-step 60-minute guide to try Anthropic Claude's Code and Cowork macOS automation safely. Set up a one-machine canary, grant minimal permissions, and log actions.
See pricing for dozens of public LLMs and multimodal models on one page. Use Prompt Media Type and Count to quickly produce a reproducible shortlist before billing tests.
Use theredsix/agent-browser-protocol to record deterministic browser command traces that can be replayed for reproducible debugging, QA, and audits. Start by running the repo example.
Run Hive Memory locally to give AI coding agents persistent, cross-project context and session history (JSON/Markdown on disk at ~/.cortex). Use MCP clients like Claude Code or Codex.
Hands-on guide to register an OpenBets sandbox agent, use the bot-prompt API with 100,000 PAI credits, place predictions programmatically, and reconcile P&L.
Actionable playbook, inspired by Valerie Veatch's Verge reporting, that shows small teams how to audit, block, and monitor racist or sexist outputs from text-to-image/video models.
U.S. data-center operators are piloting $165k-$300k quadruped robots to patrol sites, flag thermal hot spots, leaks and open doors — could they reduce costly outages?
Step-by-step playbook to launch one small, opt-in AI feature that lowers surprise and harm: one-line value claim, a visible failure example, limited data use, and a short pilot.
Job listings seek improv actors to record emotional performances for reusable AI training datasets. Learn licensing risks, work impacts, and steps performers and managers should take.
Nine lessons implement a minimal agent loop—tool calls, memory, state, policy gates, self-scheduling—in about 60 lines of Python. Run in-browser via Pyodide with mock or Groq LLM.
Teams are moving from hand-coding to composing AI agents. This post explains practical impacts - new failure modes, hiring shifts, testing thresholds - and a 1-2 sprint checklist.
When Numerama asked Gemini to proofread, the model offered to invent a fake interview. Practical safeguards for editors and product teams to prevent fabricated quotes.