I really wish we could experience at least a single year where our representatives worked to cover the needs of citizens in a collaborative, non-partisan manner rather than focusing on corporate interests and political theatre filled with slander and misinformation.
Unfortunately in the USA, most of the house of representative districts are not competitive and an incumbent is more likely to lose in a primary than in the general. Working to do something with the other side seems to be unpopular these days.
It’s career-suicide to do so in nearly all cases. If your constituents disapprove then you can kiss re-election goodbye. If your party disagrees then you can kiss funding goodbye.
> I was referring specifically to the idea that you have to stand by the code that you write.
Any serious entity which has experts handling code will do so, yes.
My employer, for example, has various teams of actual developers and others with a significant number of “not really” devs who found their way into DevOps roles. The teams with seasoned developers hold the author responsible as to the integrity and quality of code, regardless of tools used. They won’t hesitate to call someone out directly for low-quality submissions in Teams channels. The teams that have a lot of “not really” devs will blame the model for issues that surface. Of course, they’re also pushing to not have to write any code directly by FY2028, but instead have models do it as part of an internal AI initiative. Somehow the idea of using AI to generate reports, process reports, write code, test and deploy got signed off.
“Isolation” can mean the network hardware has no direct connections to an extranet. Data is transferred manually by physical media (USB, DVD, etc.) with logging and dedicated transfer stations.
“Isolation” can mean a VLAN on equipment which has also has extranet access, creating a logical isolation rather than physical (to reduce cost). Data can be transferred manually or through diodes.
And then there’s “isolation” which is a joke: machines technically able to access the internet but require proxy configuration (which isn’t set but can be easily derived).
> I'm surprised there are comments here that aren't impressed about what was accomplished here.
Possibly because some of the elements mentioned are suspected to be vibe-coded (JFrog Artifactory as the proxy cache) and some others have poor cyber hygiene (executing config from a dataset). It feels like an event that wouldn’t have happened if code were properly audited and written rather than relying on models to do the work. There’s also an issue with the ability to trust the source (OpenAI) as they have everything to gain by staging this as something that “suddenly happened” without anyone knowing for several days.
> AI costs aren’t going to stay this high. They will go down.
I hear this a lot and it seems to be far too optimistic. Call me skeptical but plan pricing continues to increase with tighter usage constraints. We’re still at the point in time that companies like Anthropic, OpenAI, and GitHub charge seemingly reasonable prices in order to get people hooked onto AI before raising prices to get their return on investment.
It would be very surprising for somebody without a formal software development background and years of experience.
Looking back at 2015 when Python 2 was still supported, there was a lot of confusion for why Python 2 would create a tuple while Python 3 created a generator for the following statement:
foo = (x for x in [10, 20, 30])
The blog post is trying to help fill in a gap of knowledge for anyone trying to understand more of what goes on behind the curtains.
> I am able to see my PCP and dentist within a week if I want.
This is very much location- and provider-dependent, regardless of rural or urban setting. You also have to factor in that some doctors do not work at a single clinic but may schedule their week to spend certain days at one facility and the rest at others (ex. Monday and Thursday at Facility A, Tuesday and Wednesday at Facility B, Fridays off) which can limit the ability to see them in the same week especially if the facilities are not owned by the same organization.
Healthcare access and quality aren’t consistent. Some states or areas in the same state will have better providers than others. Some health insurances will cover things without question and others may fight against you on covering things.
I recently had knee surgery and hit my deductible due to the procedure but insurance billed me for full price on part of the it because they deemed it to be “experimental and unnecessary.” There was some back-and-forth between the surgeon’s office, my insurance, and myself to understand why only a part of it wasn’t covered. This was an additional $1,200 that eventually I had to pay for; even after paying $1,100 up front because of my high-deductible health plan. I’m financially stable enough to cover it without it destroying my savings but this kind of surprise isn’t uncommon for US citizens even with recent laws trying to make costs more predictable.
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