Zed Editor is your first look at GPT-5

PLUS: Google takes on AI hallucinations and how to manage the industry's big 'vibe shift'

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A popular code editor, Zed, is changing its pricing model, but the more significant news is its newly added support for next-generation AI. The editor is becoming a gateway for developers to access tools like GPT-5 before their official launch.

By integrating unreleased models, Zed is positioning itself as a crucial testing ground for developers. Does this signal a new trend where specialized applications become the first point of access for frontier AI?

Today in AI:
  • Zed editor offers a first look at GPT-5

  • Google’s new tool to fight AI hallucinations

  • How to manage the tech industry's 'vibe shift'

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What’s new? Code editor Zed has announced a major shift to a token-based pricing model for its AI features. The bigger story is the simultaneous reveal of support for next-generation models, giving developers a potential on-ramp to test tools like GPT-5 before they're widely available.

What matters?

  • The standout news is the inclusion of unreleased models, offering developers a potential first look at GPT-5, Gemini 2.5 Pro, and Grok 4 within the editor.

  • The move to token-based pricing aims to align Zed's costs with actual usage and ensure the editor's long-term sustainability, as LLM bills had become its largest expense.

  • Users aren't locked into Zed's hosted offering; the editor continues to support bringing your own API keys and running local models via Ollama.

Why it matters?

Zed is positioning itself as more than just an editor, becoming a direct gateway for developers to access the next wave of powerful AI models. This provides a valuable testing ground for professionals eager to integrate future AI capabilities into their workflows ahead of a wide-scale release.

AI TOOLS

What’s new? Google has released the Data Commons Model Context Protocol (MCP) Server, a new tool designed to ground AI agents in verified public data and reduce LLM hallucinations.

What matters?

  • The MCP Server gives AI agents a standardized way to access Data Commons, which dramatically accelerates the creation of data-rich applications without developers needing to learn complex APIs.

  • A new platform from the ONE Campaign, the ONE Data Agent, already uses the server to let policy-makers and advocates search millions of health financing data points using plain language.

  • The tool offers seamless integration into existing agent development workflows, and developers can immediately get started with clients like Gemini CLI.

Why it matters?

By anchoring AI responses to real-world statistics, this makes AI assistants more reliable for data-driven tasks. This represents a foundational step toward building a public data infrastructure that future AI systems can trust and build upon.

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What’s new? A new analysis explores a significant “vibe shift” across the tech industry, as optimism gives way to widespread anxiety. The article identifies AI-driven job fears, unpopular return-to-office mandates, and a new, impersonal leadership style as key factors curdling the workplace mood.

What matters?

  • AI is a primary source of this destabilization, sparking developer anxiety about job replacement and the rising tide of low-quality AI Workslop that makes work more difficult.

  • Top-down mandates like forced office returns and rigid hours are breaking trust, signaling to employees that their autonomy and proven performance are no longer valued.

  • Executive leadership is shifting away from a mission-driven, employee-first culture toward an impersonal, efficiency-focused mentality, fundamentally altering the employer-employee relationship in tech.

Why it matters?

This cultural shift directly affects team morale and productivity, placing more responsibility on individual managers to build stability and psychological safety. Understanding these undercurrents helps professionals better navigate the uncertainty and advocate for leadership that keeps people at its core.

Everything else in AI

Zed introduced its Agent Communication Protocol (ACP), a new feature that allows developers to integrate third-party agents like Gemini CLI and Claude Code directly within the editor.

Google released a new Colab notebook to help developers build AI agents using its Data Commons MCP Server, offering a hands-on guide for integrating real-world data into applications.

Zed expanded its 'bring your own key' integrations, allowing developers to connect their editor directly to services like OpenRouter and AWS Bedrock in addition to direct provider APIs.

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