| For certain things I think so. For me the fascinating and really useful utility of LLMs is their ability to synthesize answers to questions. This is something search generally speaking can't do. I find myself using ChatGPT to answer question like: > Explain tar -xzvf > Answer:
The command tar -xzvf is used to extract a tar archive. Here is what each option does: -x: This option tells tar to extract the contents of the archive. -z: This option tells tar to decompress the archive using gzip compression. -v: This option tells tar to run in verbose mode, which means it will display the names of the files being extracted as they are extracted. -f: This option specifies the file name of the archive that you want to extract. So, the full command tar -xzvf is used to extract a tar archive that has been compressed with gzip and display the names of the files being extracted as they are extracted. However for other types of information I much more care about being taken to a trustworthy source of information rather seeing a summarized view or worse, a synthesized view of various sources that might not agree with each other. References are useful, but it's risky to rely on what a bot says without validating the references at which point the utility of the bot for that type of query is questionable. |