AI·42wBREAKING: GitHub accidentally leaked GPT-5 details (proof inside)
GitHub accidentally published and quickly deleted a changelog entry announcing GPT-5's general availability in GitHub Models. An archived version of the deleted page serves as evidence of the premature announcement, suggesting GPT-5 may be launching imminently.
DiamantAI·41wGPT-5 just proved something important - the scaling era is over
The performance gap between GPT-4 and GPT-5 is smaller than previous generational leaps, signaling the end of the AI scaling era where bigger models automatically meant better performance. The future of AI development is shifting toward sophisticated engineering and AI agents built with existing models, rather than relying on massive compute budgets and larger model architectures.
Hacker News·41wgpt-5 leaked system prompt
A leaked system prompt reveals GPT-5's internal instructions and capabilities. The prompt shows personality guidelines emphasizing clarity and enthusiasm, memory management through a 'bio' tool, canvas functionality for document creation, image generation capabilities, Python code execution environment, and web search tools. It includes specific behavioral constraints like avoiding opt-in questions and copyright material reproduction.
Fireship·41wGPT-5 is here... Can it win back programmers?
OpenAI released GPT-5, claiming it's the first AI to outperform humans on certain benchmarks, but the reality is more nuanced. While GPT-5 unifies multiple models for better task routing and costs significantly less than competitors at $10 per million tokens, it still has limitations in coding tasks. Testing shows it can generate functional Svelte applications but makes errors with framework-specific rules. The model represents more of a consolidation effort than a revolutionary breakthrough, and programmers' jobs remain safe for now.
Medium·38wGPT-5 System Prompt Leaked : 7 Prompt Engineering Tricks to learn
Analysis of a leaked GPT-5 system prompt reveals seven key prompt engineering techniques including identity locking to prevent prompt injection, knowledge anchoring for temporal context, multimodal toggles for routing, personality injection for behavioral control, content safety as first-class instructions, self-denial of hidden mechanisms to prevent conspiracy theories, and dynamic retrieval gates for up-to-date information. The techniques demonstrate advanced strategies for building robust AI systems through careful prompt design rather than fine-tuning.
Collections·40wComparing GPT-5 and Claude Opus for Agentic Coding
GPT-5 and Claude Opus are compared for agentic coding tasks through implementing a landing page with newsletter signup. GPT-5 excels in initial accuracy and accessibility for beginners but has slower iteration cycles. Claude Opus offers faster iterations and better professional integration through MCP tools, though it requires more debugging initially. The choice depends on whether developers prioritize initial accuracy or iterative speed, with Claude Opus suited for professionals and GPT-5 better for consumer developers.