rsalus

the evals? setting those up and empirically proving them is genuinely a lot of work.

I think the new 07-28 spec is quite decent

do you mean NativeAoT? it's mentioned a few times in the post

these blog posts have really turned me into a dotnet evangelist. love the framework & language.

> I guess you didn't understand my comment ;)

yeah, touch grass buddy.

what a patronizing response. I'd be embarrassed.

exactly, and realistically if you test the crap out of a given module, you'll have a pretty damn accurate idea of how it behaves.

Yeah, by the time my thought is fully formed I've gone through an entire conversation.

Well, to be pedantic, Stardew Valley + others used MonoGame which is technically a framework but realistically does a huge amount of the work needed to develop a game engine.

Yeah, +1 on the comment verbosity. Left alone it's actually insane. I've had to setup enforcement + templates (use ASD-STE100) to keep the cruft down. I'm worried this may impact the quality of outputs though - haven't measured it.

I'm curious, how does the context management work with event sourcing? What kind of events are you storing and how do you decide when to hydrate a new projection?

I imagine the same systems will evolve for agents as well, if nothing else because lack of trust will impact provider's bottom line.

probably because it actually works

Regardless of the benefits (of which there are a few, despite what fellow detractors may say), I am completely unwilling to submit myself to mass surveillance. Once that kind of power is obtained by the state, it will be abused. The article already cites several instances of this, including a police officer using it to stalk someone. And let alone the malicious usage, what if there are simply errors in the software or mistakes made by human operators? I don't trust police departments and public officials to implement this capability competently.

I agree with your main observations, but the Costco example is a bit contrived. I expect companies to eventually figure out suitable applications for AI, and I doubt a flat subscription per seat will be one of them. Personally, I feel the main issue is that the tooling + systems needed to deploy AI successfully have only recently started to mature.

the frustration is largely because the overall substance is quite poor since it is typically imprecise by nature.

surely the supply of unified memory will rise to meet demand before this is needed

> now consumption is becoming dominated by asset owners

absolutely true. I am not convinced that consumption can be wholly fueled by asset owners though.

the argument is productivity gains are increasingly driven by technological advances, which are spurred by capital investment. for example, if a company purchases software that increases their accountants productivity by 5x, should those accountants immediately be paid 4-5x more?

I would contend that the accountant should not - it should flow to who bore the cost of the input (capital owners). however, if you starve labor of those gains, it destroys the consumer base that capital relies on to buy its goods and services. therefore, society requires broad wealth distribution to function, which implies some level of redistribution by the state is needed.

yes, but wage growth has not tracked productivity: https://fred.stlouisfed.org/graph/?g=1X020

household expenses have been increasing without commensurate wage growth, resulting in lower savings: https://fred.stlouisfed.org/series/PSAVERT

2% is average. 1-1.5% is considered a slump, while anything over 2.5% is considered a boom. for instance, the post-ww2 boom (1947-1972) averaged 2.9%. at that rate of growth, a country's total output per worker doubles in roughly ~25 years.

> amount of labor being generated per person has not really changed

not true, labor productivity has been steadily increasing: https://fred.stlouisfed.org/series/OPHNFB

workers are simply capturing less of the economic value generated by their labor.

no, he's almost certainly referring to labor productivity. https://fred.stlouisfed.org/series/OPHNFB

he's referring to labor productivity, e.g., the economic value produced per unit of labor input. it also _has_ changed significantly, as seen here: https://fred.stlouisfed.org/series/OPHNFB

however, unit labor costs has also been increasing (although they remain variable): https://www.bls.gov/opub/ted/2026/productivity-up-0-3-percen...

agree, from my POV the constraints are still there but we've optimized now. still haven't solved the core problems.

eh, they're a publishing business. choicescript is part of their business model - there's nothing inherently wrong with that.

so cool! how does this compare to ChoiceScript?

https://www.choiceofgames.com/make-your-own-games/choicescri...

they are forecasting $25-30B this year, so if anything they look to be neutral or even profitable.

> The TAM for robots is much, much larger than for coding or services

how do you figure?

AI usage will directly impact said margins. Moreover, for the scenario you describe, companies need to have the capability to precisely estimate the cost of a given deliverable - not something possible with current tooling + models. You're also underestimating the market trend towards vertical integration: companies are not going to be constrained by a sector or niche. They will expand to capture as much value as they can, because now their capacity to do so is partially decoupled from labor.

It will certainly be a cutthroat landscape for engineers, but companies will be building _more_ capacity, not less. In other words, the demand won't disappear for skilled technical labor, it will just move higher up the value chain.