This is true when fresh college grads are building stuff. Experienced engineers know how to build things much more efficiently.
Also people like to fantasize that their project, their API, their little corner of the codebase is special and requires special treatment. And that you simply cant copy the design of someone much more experienced who has already solved the problem 10 years ago. In fact many devs boast about how they solved (resolved) that complex problem.
In other domains - Professional engineers (non-swe) know that there is no shame in simply copying the design for a bridge that is still standing after all those years.
BTW - UAC is not a security boundary, so UAC-bypass is not the same as privilege escalation, and there is no bounty for it, etc, etc. It's a common misunderstanding, probably in no small part due to Microsoft's own lack of communication around it.
The amount of private data that is locked up inside private internal databases is huge. This is especially true of regulated industries. There is a wealth of data - financial data showing how to budget for things, pricing data on various products that are B2B, standard operating procedures at mature companies that have gone through various revisions, designs for manufacturing plants so people don't keep reinventing and making the same mistakes again, and on and on.
I think there are post training tweaks that can be done with corporate data to help fit an AI to a specific corporation. But I don’t think that private data will deliver us AGI. The knowledge for AGI is out in the world, not hidden inside corporations. Private data brings us knowledge of the XYZ project status and the division ABC budget and whether Bob wants a chocolate cake for his going away dinner or not.
I'm not seeing it the same way. Businesses in various industries have several types of moats - money, knowledge, experience, skills, etc. There is ton of competitive intelligence hidden in private data.
Its one of the reasons you can't use chatGPT and start manufacturing chips or vaccines, or anti-cancer medication. The gap between publicly available data that informs academic "core science" research versus specific product-based knowledge that shows you how to make a successful drug candidate that can withstand regulatory scrutiny or be a safe and effective drug for the worlds population.
We could iterate so quickly if this private data set was democratized.
> uses human feedback and comments to correct the output
tbf, lots of saas have a similar attitude with things like "give us feedback" on their pages; like i'm paying you money to figure this stuff out so why are you asking me if its good or not? with more and more "vibing" i feel this kind of attitude is going to infect everything at some point...
Sure, If ranking is done purely based on clicks and not quality. I'm just thinking of it as a meta "loss" function in the AI context. So I'd say its the passionate enthusiasts who care enough to provide feedback on such topics.
>The thing is, LLM's produce better quality one-shots than any of the products that get returned from overseas ultra-budget contractors in India or SEA.
They use data from the poor student tier, but arguably, large corporates and businesses hiring talented devs are going to create higher quality training data. Just looking at it logically, not that I like any of this...
Since this exodus (year of the linux desktop has been promised every year since 1998) has not yet happened, there is likely an actual reason (or several) that people choose to stay on Windows.
I use both, but prefer linux to stay behind the scenes on my servers. Windows has been a solved problem for me for the past couple of decades. Here's a random 100 day uptime screenshot that I found from 2017, https://imgur.com/a/PRp9L50. These days I usually shutdown more often to not waste power, and my NVMe makes bootups instant anyway.
As per https://endoflife.date/macos only 3 MacOS versions are under active support. Also I would wager that most people upgrade the OS anyway due to the piss-poor backwards compatibility for software - Xcode being a prime example.
Cherry picking examples to paint broad brush/strokes doesn't work. There are game companies all over the world, and have varying levels of work/life balance. Your crude caricature is just that; crude.
Also people like to fantasize that their project, their API, their little corner of the codebase is special and requires special treatment. And that you simply cant copy the design of someone much more experienced who has already solved the problem 10 years ago. In fact many devs boast about how they solved (resolved) that complex problem.
In other domains - Professional engineers (non-swe) know that there is no shame in simply copying the design for a bridge that is still standing after all those years.
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