The 737 has had 14 major recertifications. The aircraft today looks/behaves nothing like the original from the 1960s.
The main motivation for recertifications comes from commercial pressure where if a aircraft is given a new number and not recertified, then the pilots have to be retrained.
Honestly, back when the 737 MAX debacle happened, a lot of consumers claimed that they would stop flying aircrafts if they ran into 737 MAXs. And I don't think it happened in enough numbers - or even enough to make news. Sales went through the roof, everything kept working.
Recertifications are very common. The issue really is is the aircraft is AS different and untested as the old MAXs, and I really can't see that happening again in the next decade or two atleast.
Reporting/news around AI is so very interesting these days.
It's really hard to tell what's propaganda from what's not.
For examples, this Reuters that you have included here has all tells tale signs of creating fear, uncertainty, and feeding into propaganda. But then again I can't be sure.
What's very interesting to me is these moves will introduce a good amount of doubt in future claims by Claude etc, that the open source and non-US models are only getting better because they're distilling from frontier labs.
Not a great move imo from a business stand point, given the heightened supply chain risk that global (non-US) corporations and sovereigns are already associating with the frontier labs.
I like that it's going to drive more momentum towards the open source/weight models. I was hoping that it would be a slower burn though.
The loss of trust in using US based model's is unlikely to come back though.
Anthropic with it's hyped doomsday messaging, and the administration falling for it (at best), has eroded a lot of trust and has triggered an arms race of sorts.
Edit: I'm a fan of deepseek and believe it's good to make the technology open/available. And do think that also help business - which I support as well.
ShadCN is the most popular design system that AI automatically reaches for 90%+ times on its own. It's also the default most platforms like lovable, etc.
What jumps out at me is a lot of this is still very task oriented. And each to their own, but anecdotally, I haven't seen great results from task oriented behavior.
I don't mean that it does not produce what was asked for. I'm saying that tasks even when created by engineering and product teams are often wrong.
I lean very heavily towards outcome based prompting. Say exactly what do you want achieved and then maybe give some constraints, ie. what definitely not to do.
In my experiments, this has always produced much, much better results.
Interestingly, it's less engineering and more customer focus.
Anecdotally, I think this is a much bigger cleanup than just talking to the administration.
I think there's a wider damage done which there is no coming back from. And this is for the USA, not Anthropic.
The chance that sovereignty and rules such as this could be applied to AI was a concern that a lot of people had, but the risk was unknown.
Speaking for myself, I had guessed this would happen at some point of time. I was expecting/hoping it'd be years away.
However given the events in the last few days it greatly increases my concern with building any product which can depend on an on an API which could go away for a number of my customers.
I've been experimenting with other open weight models hosted in favorable sovereign countries for a few months, but this accelerates something which was an experiment to now being a must-have.
I don't think it is going to be easy for any of the parties to repair this easily.
Interestingly I've had a similar experience with agent teams/swarms, albeit they can get much more expensive depending on the workflow.
I found that Fable didn't have as much of an impact when put in a team.
But it was/is a very pleasant model to work with 1:1. And was the first time I didn't use my primary team based workhorse in months, across 10s of sessions last week.
Compute was constrained. There is a lot happening, especially with chinese chips which currently points to a massive upcoming increase in non-US capacity.
Yes, I'm with the author. I'm absolutely sick of constantly reading AI content.
But if I have to really dig into it deep, a lot of the people who send me AI content now, weren't sending me anything meaningful to begin with (pre ai).
The number of organizations I have been around where most people just copy paste each other's messages is no joke. This was happening long before AI came along. AI has just made it so much more obvious.
Previously they might have copied it from Joe in Product. Now it all sounds like Claude or GPT.