211–220 of 397 posts
The future is that people stop buying software and just build it themselves. The spam filter in thunderbird was broken for me, I built my own in hours and it works way better. Oh that CRM doesn’t have the features you want? Build one that does. It will become very easy to built and deploy solutions to many of your own bespoke problems.
The future is that people stop buying software and just build it themselves. The spam filter in thunderbird was broken for me, I built my own in hours and it works way better. Oh that CRM doesn’t have the features you want? Build one that does. It will become very easy to built and deploy solutions to many of your own bespoke problems.
Unlikely. The future will be some people will do this, but honestly I think it will largely be people who were already tinkering with building things, whether full on software development or not My mom and dad, my brother who drives a dump truck in a limestone quarry, my sister-in-law, none of them work in tech or consider themselves technical in any way. They are never, ever going to write their own software and wil…
Or perpetual work camps for the masses.
> Instead of continuing with the code, I spawned a fresh Pi session, and asked the agent to write a detailed specification of how the brcmfmac driver works Planning markdown files are critical for any large LLM task.
The line between AI-assisted clean-room reverse-engineeing and open-source-license-laundering is a thin one, and I think the one described in the article crosses over to laundering. In classic clean-room design, one team documents the interfaces - not the code.
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What ever happened to that?
They became much like woodworking or power tools. Accessible to anyone who wants them, but still requires an investment to learn and use. While the majority still buys their stuff from retail.
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Unlikely. The future will be some people will do this, but honestly I think it will largely be people who were already tinkering with building things, whether full on software development or not My mom and dad, my brother who drives a dump truck in a limestone quarry, my sister-in-law, none of them work in tech or consider themselves technical in any way. They are never, ever going to write their own software and wil…
> Unlikely. The future will be some people will do this, but honestly I think it will largely be people who were already tinkering with building things, whether full on software development or not Billions of dollars of stock market value disappeared because of the concern AI can create core SaaS functionality for corporations instead of them spending millions of dollars in licensing fees to SAP, Microsoft, etc. This…
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I think in the future (in 10 years?) we are going to see a lot of disposable/throwaway software. I don’t know, imagine this: I need to buy tickets for a concert. I ask my AI agent that I want tickets. The agent creates code on the fly and uses it to purchase my tickets. The code could be simple curl command, or a full app with nice ui/ux. As a user I don’t need to see the code. If I want to buy more tickets the same…
Or, and hear me out here, you go to the existing site or app which sells concert tickets, press the purchase button, and then you have your tickets. Like what are we even doing here...
Endless queues, scalpers grabbing tickets within a second. Having to wait days/weeks periodically checking to see if a ticket is available.
The only platform I’m aware of that does guarantee a ticket can be purchased if available is Dice once you join a wait list. You get given a reasonable time to purchase it in too.
So I can see why people would prefer to defer this to an agent and not care about the implementation, I personally would. In the past I’ve been able to script notifications for it for myself and can see more people benefiting from it.
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Trial and error? Just like it does when given an existing GPL’d source and dealing with its hallucinations, the agent could be operated on a black box (or a binary Windows driver and a disassembly)? The GPL code helped here but as long as the agent can run in a loop and test its work against a piece of hardware, I don’t see why it couldn’t do the same without any code given enough time?
Presumably one would like to use the laptop before the million years it would take the million monkeys typing on a million typewriters to produce the Shakespearean WiFi driver. Consider that even with the Linux driver available to study, this project took two months to produce a viable BSD driver.
The next implementation doesn't have to happen in a vacuum. Now that it has been done once, a person can learn from it.
They can discard the parts that didn't work well straight away, and stick to only the parts of the process that have good merit.
We'll collectively improve our methods, as we tend to do, and the time required will get shorter with each iteration.
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Shouldn't AI be able to take this one step further and just analyze the binary (of the samba server in this case) and create all kinds of interface specs from it?
Make the LLM operate the hypervisor VM so it can observe a binary as it executes to write specs for it?
I know this is me coming from my spoiled perspective of Linux and macOS, but the advice of running a VM that manages the WiFi hardware and passing it back to the OS seems insane to me
That AI was trained on the GPLv2 Linux source code, which does have a driver for your Wi-Fi. How is this not copyright laundering?
> Brcmfmac is a Linux driver (ISC licence) for set of FullMAC chips from Broadcom