The AI-Panic Cycle-And What's Actually Different Now
Briefly

The AI-Panic Cycle-And What's Actually Different Now
"The episode examines what's new: AI-agent coding tools that can work in the background like personal assistants. Warzel is joined by Anil Dash, a longtime technologist, to unpack how hype and venture-capital incentives can distort the conversation around advances, and what the rise of tools like Claude Code and the more reckless "OpenClaw" experiments mean for labor, security, and everyday work."
"At the end of 2022, ChatGPT came out. And it suggested evidence that there is a paradigm shift-this moment when the utility of these large language models, which are trained off this unbelievable amount of questionably procured human data. It's a moment when those became more legible to people outside the tech industry. Chatbots allowed people to interact with these models like they would a human. As such,"
AI insiders are unsettled by the emergence of autonomous coding agents that can operate like background personal assistants. The arrival of ChatGPT in late 2022 made large language models and their utility more visible beyond tech circles. These models are trained on vast, often questionably sourced human data. Venture-capital incentives and hype cycles can distort perceptions of advances. Tools such as Claude Code and experimental efforts like "OpenClaw" highlight tangible risks to labor and security. Some people are panicking while others are quietly building alternatives. The shift marks a move from chatbots toward more autonomous agents that act on users' behalf.
Read at The Atlantic
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