This is going to happen more and more. AI is a tool that should make your employees more efficient not replace them outright. And if it doesn't make your employees better? I guess AI isn't applicable to your business then.
I can see a lot of companies coming to this realization over the coming months and years.
The pricing is all out of sorts. Close to $500 more expensive than a PS5 for worse performance. I understand this is a PC and you can do other things with it, but if you're buying a gaming device to play games this is a horrible value.
Which then gets tossed into a compiler and who knows what kind of code that thing spits out. That's why I only support projects written in assembly by real programmers.
"Even it that'd be the best code and design in the world, I won't use it. I don't trust it."
Nothing about this sentence makes sense. What don't you trust about code you can see and audit yourself? What's untrustworthy about "the best code and design in the world"?
Sometimes I wonder if any of this will even matter in a few years. How many of us compile code and then have to clean up the assembly, or even worry about what a compiler generates as long as it's correct?
Bluesky is insufferable. Literally any issue in any program is labelled "#vibecoded" by these clearly genius-level engineers who've never shipped a bug.
This is a great idea. Even if you're one of those developers squarely focused on getting the final result working, code quality still matters (to people and LLMs).
Everyone should be doing regular code reviews and this helps a lot.
Low quality, bug laden code has existed long before LLMs and it'll continue to exist long after. Their rationale about avoiding future headaches could literally apply to any open source project they have a dependency on.
This sounds like a gamechanger for speed and efficiency if it can scale up.
"However, our models are nevertheless relatively small and trained on tiny amounts of instruction examples, compared to the scale of modern instruction data and multiple post-training stages used to reinforce the default message-based format. We do think that parallel streams are a conceptually enticing format, and that future work on a larger scale will go further to show these benefits."
To a lot of people AI is just image and text generation. And yes, these uses alone aren't worth the time, money, and energy.
But there are a lot of areas where AI is helping that people don't see, like in medicine. Drug development, cancer research and early detection, CT and MRI analysis, just to name a few. These uses cases are vastly more important but rarely get discussed. It's important to know that AI isn't this one singular thing or else we risk throwing the baby out with the bathwater.
I can see a lot of companies coming to this realization over the coming months and years.