His methodology is to put his hands on the keyboard, write a function, a struct, make it compile, make it produce the correct output, make it faster, make it use less memory...
It all comes down to a religious faith in AGI or not.
There can't be things that a human can program that AGI can not program or it is not "AGI".
While I am never a true believer in AGI, it seems to go I get a little faith when a new model comes out then I become increasingly agnostic the weeks and months after that. Repeat.
Right, so for the folks at home who already know and use `git checkout`, no switch needed (no pun intended) as everything already works fine and probably won't be deprecated in the near future.
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've tried other tools. But I'm on GitHub most days, so it's been a seamless way to keep track of some things that would otherwise disappear into a calendar, or some tool that I don't use as often.
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.
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
Agreed, but is this technology promise too much to bet on a single company? Are we being sold R&D dreams or tangible products?
Compare this with firms that had an actual working product (ex: Lightbulb, Internet, Windows, iPhone) and not the mimics of one (ChatGPT, Bitcoin, Metaverse, Nanotechnology, Quantum).
PS: There is just too much money in the economy now (infused from covid), so chasing speculative investments is expected.
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.
Not really. A lot of people are happy to take in a metric ton of cash from what is very questionable hype. Nvidia certainly doesn’t mind everyone overselling AI, and neither do CEOs drooling at the thought of AI replacing workers. That’s the reason behind all this insanity.
