@msimoni: Sol can understand a 20 KLOC program in one reading, and answer interesting questions about it, but it cannot write a s…
Summary
Sol AI can understand and answer questions about large codebases in one reading, but it struggles to write meaningful comments for code.
Similar Articles
@reach_vb: Hola! quick usage update on usage patterns for Sol: We’ve shipped several improvements that should make typical Sol usa…
Sol, an AI assistant for ChatGPT Work and Codex, receives improvements for longer usage and efficiency, with a reset of usage limits and a return of the five-hour limit.
@askalphaxiv: GPT 5.6 Sol can one-shot convert an arXiv paper into an interactive Marimo notebook! Great for papers best understood h…
GPT 5.6 Sol can one-shot convert an arXiv paper into an interactive Marimo notebook, useful for hands-on understanding of papers in interpretability, inference engineering, and more.
@gdb: Sol for complex reasoning and data analysis:
Sol, a new model from GPT-5.6, is a breakthrough in complex reasoning and data analysis, capable of analyzing hundreds of pages of legal documents and generating source-cited reports.
@hqmank: Codex Sol's overengineering problem is real. Small task, 3x the code you asked for. This AGENTS.md approach fixes it
This article discusses the overengineering problem in Codex Sol AI models, which generate excessive code for simple tasks, and proposes an AGENTS.md approach to mitigate this issue.
Any example of code that AI cannot tackle?
A discussion questioning whether there is any code that AI cannot handle, noting that even difficult coding interviews at Anthropic are solvable by their own AI.