Those are two examples.

You can also go read what Carmack says about it. (example: x.com post from 2026/9/11)

I hope you won't be so stupid so as to try dunking on Carmack.

I apologize for not knowing you or your accomplishments, but just playing the law of averages, both ESR and DHH have significantly larger bodies of successfully and daily-used code than you do, with bigger impacts on the field and the industry, than you do.

You probably don't have the right to shit on them, given your own lack of contributions.

(But to be fair, I'm just assuming, based on the law of averages. I apologize if I should know you and your great contributions, but do not)

I can say that both of them certainly eclipse _me_ so greatly that I can't be seen on any map that is zoomed out enough to show both of them. And while I am a relative nothing, I've had a handful of patches accepted in my life... and I've secured a few software patents in my day. That puts me in above-average territory. But there's more accomplishment gap between them and I, than there is between me and a person who cannot code at all.

There's no harm in admiring outstanding people. A particular fault of our age is that men do not know how to truly compliment and admire greatness when they find it.

ESR is a great man. DHH is a great man. My world and our industry is better for both of them. When they say that LLMs have completely changed the way they do the thing that they are better than almost all other human beings at... you should listen.

I agree we need better programmers.

We have better programmers.

The frontier models _are_ better programmers than all but the very best.

Look at the AI related posts from ESR and DHH on twitter. They are _all in_ on AI.

(DHH has been showing benchmarks of web apps being machine-re-written in Rust. Unsurprisingly, the apps get much faster)

A rough estimate is that the best LLMs do software engineering about as well as IQ 150 software engineers do it. That makes them better at it than the vast majority of people who write code.

People see an AI do something they dont like and then conclude "the AI sucks". But lets use honest weights and measures: Human programmers make worse mistakes, and make them more often, and iterate 1000x more slowly.

The way to think about it is this: generally the AI will write better code than the person prompting it would write, and it will do it several OOM faster. That means more code getting written than would otherwise get written, AND, it means that code is higher quality than it would be otherwise.

"Perfect" isn't the bar. "Better and in less time than if the human doing the prompting had written it themselves" is the bar. And that bar has been cleared with by a mile of daylight.

Junior engineers don't normally get to tell IQ 150 engineers what to go do. LLMs change that.

Sure.

That was not the case here.

Microsoft did not require masters degrees for entry level dev jobs.

It's common for Indian/Chinese folks to _have_ masters degrees, because going to the US for graduate school is a common "first step" in the process to get their feet on US soil - F1 student visas.

The way it typically works for an Indian or Chinese software engineer to get into Microsoft (or any of the majors, I assume)

- get 4 year degree (real or fake) back home
- get accepted to US grad school; get student VISA (F1)
- do grad school
- look for US company that will sponsor/supply an H1-B slot
- get OPT status for STEM (up to 3 yr extension of residence permit w/ industry work authorization)
- start at new company under H1-B status
- start the Greencard process

This is the normal path.

Now, here is what is structurally fraudulent about this.

1) The F1 visa is intended for students who plan to leave when they are done. It is not intended to be the on-ramp into the US labor force.
2) the OPT extension to the F1 VISA is not intended to be a long term resident work permit. They max out at 3 years for software people
3) Greencard sponsorship in this scenario is supposed to be downstream of the assertion that there is no human being already in America willing/able to do the work.

From a company POV
The converion rate from OPT to H1B varies; the # of H1B lottery slots are fixed, and people who run out their OPT clock without securing an H1-B lottery slot are allegedly supposed to go home.

The corps know that. So the OPT period essentially turns out to be a "no risk try out" where the company gets to see who is productive and supplicant.

This continues once someone has an H1B; that person knows that the moment they lose their job, they have n days to find a different H1B slot before they are subject to a removal order.

An H1B friend explained it to me: as long as he's on H1B, he never says no to working late; he never says no to taking the extra incident case, he never says no.

So he wants a Greencard for safety/security reasons; so he can stop being as much of an indentured servant.

The colleges love this system because F1 students can be charged full price to attend. The companies love this because they get indentured servants with a tryout period. And because they have an infinite supply of young 3rd world labor who is fighting over the scraps of available slots, which causes dramatic wage suppression.

When they find a gem, they can move forward with a fraudulent PERM claim and start the greencard sponsorhsip process.

There may be other things going on here. If you've been in the industry long enough, you may have come across the claim that "indians hire indians", and then if you look back at all the teams you've been on, the claim appears to fit the observed data.

(which is not to say that the claim is _true_... just that my experiences don't refute it)

> unless said workers have the same skills and experience.

At Microsoft, its usually the hypocritical scenario.

There were very few specialized dev roles at Microsoft. Either you're thought to be smart enough and adaptable enough to work on whatever you're told to do, or, you aren't hired.

Exceptions would be "face characters" - unique individuals with unique contributions; people slashdot might have heard of. But those are far less than 1% of the company.

When you are cutting staff by thousands and hiring staff by thousands, none of them are special, none of them are differentiated. Its just bodies.

The layoff policy at Microsoft when I was observing it was pretty brutal. Each round was slightly different, but the mechanisms were usually similar: Each layer of management hierarchy, starting at the top, would get an "NTE" number, "Not to Exceed". As in, "your headcount is NTE 514" or whatever the number was for that manager. And whatever number you got, you subdivided it amongst the mangers beneath you, they subdivided to their child managers, and on downards, so most people in certain org-trees had some quota of people they were responsible for cutting.

Often, the layoffs were not based on the skills the person had, or how good or bad they were at their job, or anything like that. Usually entire teams would be eliminated, even if they had great people the company should have wanted to keep.

Yes, you did sometimes have awful situations where you lost really outstanding people just because they were on the wrong team when it came time to conduct random firings/layoffs.

The company seemed to have the idea that if they were good, they would reapply and find their way back in at some point.

The mechanism had a certain sort of "trapped by corporate America stupidity" feel to it. "We need to cut xx people and we can't be very intelligent or selective about it.. we cant make it about the specific person [because that invites lawsuits], so we make it about 'reducing investment in product [xyz]"

I am aware of possibly 2-3 RIF ("reduction in force") actions where the performance of the affected individuals was a factor in them getting chosen. More often it was whole-team cuts.

I was a dev lead at Microsoft. I believe I was asked to support immigration fraud.

I had an employee on a VISA. He was in a junior level role.

The immigration attorney asked me to verify that the job requirements for his job were:

- masters degree
- expertise in python
- (a few other things)

He had a masters degree. He had the other things on the list.

Problem was, the job he actually had was an entry level dev job. It was the exact job I got hired in at at the beginning of my career. For the level/job he was at, a 4 year degree is normal. Python (or any other specific language) is not needed.

So i said "no, that's not right. You don't need this, or this, or that"

And the immigration attorney was like "OH! My mistake! It sounds like this is more of an entry level position! Well, I guess based on what you've told me, we cannot sponsor the Greencard process for this employee at this time"

I had no idea that's what was going on or what was at stake when I answered the question. My employee wasnt mad at me - he quit MS and transferred to Google - who promised to push through his Greencard process. He said once he got done at Google he looked forward to working for me again at Microsoft some day.

So you tell me what you think was going on.

I think I was supposed to rubberstamp Microsoft immigration fraud, and I accidentally didn't, because I tried to accurately answer the question I was actually asked.

But look at how the lawyer responded. "Oh, shoot, what a silly mistake - nevermind!".

So no matter how I responded, he has plausible deniability. And if I had said, "yes, these are the required skills", nobody would have known otherwise.

I was gutted that I had ruined things for my employee without realizing it. The fact that he wasn't furious with me surprised me. To him, it was all a transaction. He wanted a Greencard; so he was going to go where he could get it - no hard feelings.

It's all transactional.

>OK, you don't work in software. Good tech companies don't outsource core development. They hire in house.

I was a software engineer at Microsoft for 22 years.

For all 22 of those years, Microsoft had core developers on every product who were not Microsoft employees.

You may want to look up the "permatemps" lawsuit from the early 00s. Microsoft had so many permanant contractor "non employees" that they were succesfully sued for the practice.

Microsoft has all kinds of legal sub-structures and "at a distance" legal entities for various employment arbitrage reasons. The technical talent of the people is not a determining factor in whether someone is a contractor, vendor, or full time employee.... Or if they are employed at an overseas subsidiary or domestically here in the USA.

And Microsoft plays a LOT of games with hiring/employment laws.

For instance, Microsoft had (has?) a large Vancouver development shop because, as I understand it:
1) its faster to get Chinese/Indian nationals into Canada than it is to get them into the USA
2) Vancouver is just up the road from Redmond, so easy to come down to Redmond for in-person meetings once in a while
3) It's very fast, legally to get people from Canada to the USA

So It was an open secret that MS would hire foreigners into the Vancouver office and park them there for, IIRC, 1 year, before moving them into the US.

Because the article is about censorship?

Why haven't you stopped watching _all_ corporate content - broadcast TV, cable TV, whatever the DSS dish companies are doing, Amazon, Netflix, blah blah blah

I hope you're not _paying_ for any of it...
And I hope you're not consuming very much of it...

It's bad for you. The people who make it are idiots, but they are crafty idiots. They know how to hurt you even if they don't know much else.

The idea that we have to watch their content is just baked into the cake, and nobody can escape it.

I was talking to a mechanic once. We were complaining about the news, and how it was all fake, they were all liars, etc.

I asked, "why not stop watching it?"

He responded: "but then I wouldn't know what's going on"

I replied, "you just said they are lying to you. So how does watching them tell you whats going on?"

(then everyone clapped)

He didn't answer. But I don't think he changed his habits.

Next, lets talk about Americas insane addiction to a Sportsball industry that regularly abuses us...

>not [seeking] an argument

Oh! Oh! I'm sorry! This is slashdot, in Room 12. This is Abuse!
For arguments, you want 12A, next door!

>people don't hire on merit
>Which candidate would you feel most comfortable working with for 40+ hours a week?

Why do you think "merit" and "works well with the employees I already have" are unrelated?

>Of course the candidate with a similar socioeconomic profile as your own would be preferred:

I suspect that's often true, but certainly not universal.

For example, allegedly, some people want slaves and want to lord themselves over their slaves. So they would never hire people like themselves, SES wise; they would only hire people where it was clear (in their own minds) that there was SES or other status daylight between themselves and their "underlings" So I'm not sure there's a universal law of hiring. I agree that "hiring someone like me" is a common -- but not universal -- pattern.

(Oddly enough, in the USA in 2026, I think you'll find that white males are the _least likely_ to use the "someone like me" hiring strategy - if for no other reason than decades of targeted enforcement against that that group for appearing to employ that strategy. Eg the Indian preference for hiring Indians, or the female preference for hiring females, is stronger than the white-male preference for hiring white-males. Maybe not in terms of hidden preferences, but in terms of actual hiring outcomes, yes, that's what the data will show)

Back to the non-universality of hiring strategies: A friend of mine with a tech business intentionally tries to hire mid-field performers. He doesn't want a rapid climber, because he cannot afford to keep them on staff once they understand what they are worth. He wants mid-field performers who are going to do solid, reliable work, and be content to work for him for a long time. So he doesn't hire on "merit" - he hires for "good enough, low turnover"

Other businesses have other strategies.

> but "not understanding cost" is a dangerous assumption to make.

One of the best, most succinct phrases in this discussion. Thank you.

We don't have to wait for AGIs to develop their own agency and build terminator robots. Industrial robots with no agency and with auditable and deterministic programming already kill humans. The industrial robot doesn't understand there's a human in the safety cage with it. It doesn't understand that moving through space occupied by a human has a cost. It doesn't know there's a human there and it doesn't know what a human is.

Designing automation that can never kill a person is already an unsolved problem with standard, non-intelligent technology.

I don't know if AI makes it harder or easier. On one hand, AI behaves, in effect, non-deterministically (even though at some level it is deterministic, it's not observably so).

OTOH, in organic intelligences, adding sensors, adding alignment, giving feedback - tend to produce humans who accidentally kill less frequently. So maybe something like the 3 laws will conceptually be part of the System Prompt of future AIs, and they'll figure out how to avoid HAL 9000 problems.

Thanks for the interesting response.

The strongest man today; the hardest workers today... are not 10x or even 2x as strong or as physically productive as the best in human history. Depending on what you think about ancient man, we are possibly weaker and dumber than some of our ancestors.

The transmission of new ideas across memory, time, and place is the extra term in the equation of human achievement, civilization, and prosperity. It's not that labor doesn't matter. It's that ideas are like compound interest. Labor adds principal to our civilizational account balance. But Ideas compound it.

In the long term, ideas are all that matter.

I have the same reservations you do - powerful people will continue to want to corner and concentrate their power.

It's unclear how well they will be able to do that, however. The capability lag time between a paid frontier model and a self-hostable open-weights model is months.

The ability to train a good-enough model will also be commoditized. In my youth, we had distributed crypto challenges.... to get super-computing work done on mass democratized hardware of like-minded individuals. So in the future, we can fall back on analagous distributed model training efforts if some better alternative doesn't exist.

I am skeptical about a post-scarcity society and I am skeptical about man's "labor" ever going to zero. Of the infamous twelve possible AI outcomes, I am somewhere in middle. For biblical reasons, I believe the extinction of man is not going to happen, and I believe the utopia of man is also not going to happen.

Control of other people's speech is always about asserting power.

It's never actually about "reducing harm"; it's about asserting power.

Talking about it in "harm" terms is a clever hack: ... because most humans are sensitive to harm/harm reduction along their moral reasoning (see: Jonathan Haidt)

But "Never hurt my feelings" is an impossible bar, and it doesn't scale across a civilization. It cannot be a basis for law.

The attempt to abuse the "harm receptors" of political enemies is contributing to the mutual dehumanization across faction lines.

We use Hubspot. Here's what we use it for:

- the "live chat with support person" bubble on our web application
- single funnel for incoming/outgoing support tickets & support communications with our customers

Adopting it was an old decision.

We would love to not use hubspot; the service delivered vs. the ongoing costs seem like a bad deal now.

At some point, we'll get around to migrating to something else.

That nightmare scenario actually did play out not long ago near me. A woman from out of state was falsely ID'd by an AI camera of some kind and was detained for months and it wrecked her life.

My sentiment is that the process was wrong and that the officers and other parties involved in this should all be fired, and the woman compensated.

None of that is what normally happens; that is not happening "millions of times". That's why it was newsworthy when it _did_ happen.