[jatora]

You're most certainly wrong on this one. Superior models give superior products and security over time. Until every 3-6 months stops bringing a large improvement in coding capability and scaffolding, there's no reason to assume we are nearing a hard limit.

You also have to factor in that bespoke software is... bespoke. ie. much more suited to your org's use-cases than the primary solution is. Way less bloat. Way less vulnerability when you don't need an enterprise SaaS solution and instead can host on your private networks.

And as far as security considerations: Imagine you had a separate Opus 4.6 agent tasked with managing and monitoring and updating devoted to a specific slice of vulnerabilities. Of course this is highly inefficient, but it would take care of the vast majority of vulnerabilities that even enterprise SaaS have. This is simply a scaffolding issue at this point, not model ability. Scaffolding issues like this will continue to dominoe.

[operatingthetan]

>Until every 3-6 months stops bringing a large improvement in coding capability and scaffolding, there's no reason to assume we are nearing a hard limit.

How much of that is better models, and how much is it AI companies throwing more resources at each one? E.g. larger context windows and higher token/s correlate with the better models.

[jatora]

Its a combination. Context windows have slowly increased, but intelligence and reliability has been a nonstop trend

[harrall]

This is like saying I know how to do plumbing so now I’m going to do all my own plumbing.

Yet I will still pay for a plumber. I wonder why.

[jatora]

Not the same at all lol. One would require robotics to solve. This is an asinine comparison

[user34283]

I also suspect AI is going to make software more secure rather than less.

Even today it can probably find a lot of issues automatically. With basic knowledge of what to look for, it certainly helps in understanding data flow too.