> I’m not seeing applications that took years to ship before
> What we do see is vibe coded slop
[0] https://arstechnica.com/ai/2026/03/after-outages-amazon-to-m...
The sandwich story in the model card is the bigger issue.
LLMs have always been good at finding a needle in a haystack, if not a specific needle, it sounds like they are claiming a dramatic increase in that ability.
This will dramatically change how we write and deliver software, which has traditionally been based on the idea of well behaved non-malfeasant software with a fix as you go security model.
While I personally find value in the tools as tools, they specifically find a needle and fundamentally cannot find all of the needles that are relevant.
We will either have to move to some form of zero trust model or dramatically reduce connectivity and move to much stronger forms of isolation.
As someone who was trying to document and share a way of improving container isolation that was compatible with current practices I think I need to readdress that.
VMs are probably a minimum requirement for my use case now, and if verified this new model will dramatically impact developer productivity due to increased constraints.
Due to competing use cases and design choice constraints, none of the namespace based solutions will be safe if even trusted partners start to use this model.
How this lands in the long run is unclear, perhaps we only allow smaller models with less impact on velocity and with less essential complexity etc…
But the ITS model of sockets etc.. will probably be dead for production instances.
I hope this is marketing or aspirational to be honest. It isn’t AGI but will still be disruptive if even close to reality.
My company for example has gotten 500% better at creating productivity tools.
They wouldn’t have taken years to ship before, but easily a couple months.
Now the moment any app with any value gets popular, the App Store gets flooded with quick vibe coded copycat clones (very recognizable AI generated icon included).
The quality is low, but the impact this flood has on the market is real.
If the argument is “you have to use the right model, harness, test and tooling for it to work” then it’s not replacing software engineers any time soon.
The other thing is - where are all the web apps, mobile apps, games, desktop apps, from these 100x productivity multipliers. we’re 1-2 years into these tools being widely mainstream and available and I’m not seeing applications that took years to ship before appear at 100x the rate, or games being shipped by tiny teams, or new ideas of mobile apps coming out at 100x the rate. What we do see is vibe coded slop, stability issues with massive companies (windows, AWS for example), and mass layoffs back to pre-covid levels blamed on AI but everyone knows it’s a regression to the mean after a massive over hiring when money was cheap.
It’s like the emperor has no clothes on this topic to me.