Just use GPT-5.4 xhigh

2025-04-24 · Source: Ben's Bites · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Robotics & Autonomous Systems · Depth: Intermediate, medium

Summary

OpenAI has released GPT 5.4 in "thinking" and "pro" variants, integrating GPT-5.3-Codex's coding capabilities, enhancing vision, tool use efficiency, and expanding the context window to 1M tokens. This update significantly improves performance in computer use and financial tasks, with a slight price increase over GPT-5.2. Concurrently, OpenAI is acquiring Promptfoo, an open-source AI security testing tool, and has launched initiatives like ChatGPT for Excel, Codex Security (free for a month to Enterprise customers), and Codex for Open Source. Anthropic introduced new features for Claude, including a built-in `/loop` skill for scheduling recurring tasks, a community ambassadors program, and enterprise offerings like Code Review by Claude and the Claude Marketplace. Research highlights include Karpathy's "autoresearch" agents for LLM training code optimization and the launch of AMI Labs by Yann LeCun, focusing on world models beyond LLMs, having raised over $1B.

Key takeaway

For CTOs and VPs of Engineering evaluating AI adoption, the rapid advancements in agentic systems and specialized LLMs like GPT 5.4 and Claude Code present significant opportunities. You should explore integrating these new capabilities to enhance development workflows, automate code review processes, and improve overall operational efficiency, while also considering the security implications and leveraging tools like Promptfoo for robust testing.

Key insights

The AI landscape is rapidly evolving with advanced models, agentic workflows, and specialized tools for development and security.

Principles

• Agentic systems enhance LLM training and code review.
• Specialized AI models improve task-specific performance.
• Open-source tools foster AI security and development.

Method

Karpathy's "autoresearch" uses agents to autonomously iterate on LLM training code, identifying improvements and speeding up processes. Claude Code's `/loop` skill enables scheduling recurring tasks within a single session for up to three days.

In practice

• Utilize GPT 5.4 for enhanced coding and financial tasks.
• Explore Claude's `/loop` for automated recurring tasks.
• Integrate Promptfoo for AI security testing.

Topics

• GPT 5.4
• AI Agents
• LLM Training
• Code Review Tools
• World Models

Code references

• karpathy/autoresearch
• pingdotgg/t3code
• vercel-labs/openreview
• sk-ruban/notchi
• andrewyng/context-hub

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Chatbot Developer, Prompt Engineer, Software Engineer

Related on AIssential

• GPT 5.4 First Test Results — GPT 5.4 significantly advances AI capabilities in computer use, professional tasks, and coding, setting a new performance benchmark.
• Opus 4.6 and ChatGPT 5.3-Codex Are Here and the Labs Are at War — Leading AI labs are converging on "ERR coding models" that excel in both technical precision and creative problem-solving.
• OpenAI Ships GPT-5.4 — AI advancements are rapidly expanding context windows, automating complex tasks, and integrating into specialized industry workflows.
• Sign of the future: GPT-5.5 — AI capabilities are rapidly accelerating across models, applications, and tool integration.
• GPT-5.5: Capabilities and Reactions — GPT-5.5 offers a substantial intelligence boost for well-specified tasks, making it a strong competitor to Claude Opus 4.7.
• Quoting Romain Huet — OpenAI has unified its Codex coding model into the main GPT series, enhancing agentic coding capabilities.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Ben's Bites.