That's actually a really interesting way to leverage that feature. Have you found this easier than other services built specifically for this use case?
I guess there's something about Python that just makes it really easy to read and write for me. I haven't found another language that fits the vibe. From my experience, the resentment towards stronger typing comes from developers misusing it.
Those "actual" working products had little use until infrastructure was built around it to make it useful. The same could definitely be happening to LLMs, we'll just have to wait and see. It is just way too early to claim that they're a mimic of a product.
It's unfair to dismiss and simplify this technology when it only just started reaching critical mass ~2 years ago. Looking at history, transformative technologies rarely show immediate productivity gains. The internet took nearly a decade from the early 1990s before we saw clear economic impact. Electricity needed 30 years (1890s-1920s) to significantly transform industrial productivity, as factories had to completely redesign their operations. Personal computers were around since the late 1970s, but their productivity impact wasn't measurable until the late 1980s/early 1990s. Major technological shifts require time for society to develop optimal use cases, build supporting infrastructure, and adapt workflows
This is actually a great perspective to have. The idea that there is no fundamental law of physics that should prevent us from replicating or exceeding the functionality of the human brain through artificial means makes this a question of when, not if.
I haven't been able to get a great answer regarding why OpenAI is consistently leading the pack. What could they possibly be doing different? I can't imagine they've invented a technique that nobody else can reach at this point