Coding with AI: Steve Gibson's Take on ChatGPT's Capabilities and Limitations
Created with AI, edited by humans
In a segment of the Security Now podcast, episode 1004, software engineer and security expert Steve Gibson shared his recent experience conversing with OpenAI's cutting-edge language model, ChatGPT 4o, while working on an update to his DNS Benchmark tool. The interaction showcased both the impressive potential and current limitations of artificial intelligence in the realm of coding assistance.
Gibson, known for his meticulous attention to detail and deep understanding of software development, posed a question to ChatGPT about using a macro in Microsoft's Macro Assembler (MASM) with optional parameters and default values. The AI confidently provided a response that seemed plausible but was ultimately incorrect. When Gibson pointed out the error, ChatGPT acknowledged its mistake and offered an alternative solution – a workaround for what it assumed was a missing feature in MASM.
However, Gibson's intuition led him to dig deeper into MASM's documentation, where he discovered that the assembler did, in fact, support the functionality he was seeking. ChatGPT's initial response was close but missed a crucial piece of syntax. Upon informing the AI of its oversight, ChatGPT graciously accepted the correction and provided an updated, accurate example.
This interaction highlights the incredible progress made in AI language models like ChatGPT, which can engage in context-aware, human-like conversation and offer seemingly knowledgeable assistance. However, it also underscores the importance of verifying AI-generated solutions, especially in complex and esoteric programming scenarios.
As Gibson reflects on this experience, he grapples with the profound implications of these rapidly evolving AI systems. He compares the significance of this technological breakthrough to the hypothetical landing of aliens in our backyard – a transformative event that demands our attention and understanding.
Motivated by his innate curiosity and desire to comprehend the inner workings of such systems, Gibson announces his intention to dive deep into the world of large language models, conversational AI, and generative AI. By educating himself through in-depth technical books on the subject, he aims to take on the role of "Explainer in Chief" for the Security Now audience, helping listeners navigate this complex and rapidly evolving landscape.
Steve Gibson's ChatGPT experience serves as a compelling reminder that while AI has made remarkable strides in recent years, it is not infallible. As these technologies become increasingly integrated into our lives and work, it is crucial that we approach them with a mix of enthusiasm and healthy skepticism, always ready to verify and validate their outputs.
To hear more about Steve Gibson's ChatGPT adventure, as well as other captivating cybersecurity news and insights, be sure to tune in to Security Now episode 1004. Join hosts Steve Gibson and Leo Laporte as they delve into the latest developments in the world of technology and security.
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