Generative AI, exemplified by ChatGPT, is becoming integral across various sectors, with widespread use in Fortune 500 companies and educational institutions. Yet, despite its growing presence, these technologies demonstrate persistent flaws. A recent ChatGPT outage highlighted how dependent users are on AI for tasks, and while the functionality of generative AI has improved, users still encounter subtle errors such as incorrect dates and discrepancies. This underlines the critical need for reliability in tools that people increasingly depend on daily.
A car that accelerates instead of braking every once in a while is not ready for the road. A faucet that occasionally spits out boiling water instead of cold does not belong in your home.
When ChatGPT went down for several hours last week, everyday users, students with exams, and office workers posted in despair.
For all their promise, these tools are still ... janky. At the start of the AI boom, there were plenty of train wrecks.
Today, though the overall quality of generative-AI products has improved dramatically, subtle errors persist: the wrong date, incorrect math, fake books and quotes.
Collection
[
|
...
]