I generally use sonnet 5 for most coding tasks, a lot of coding is really pretty straightforward.

> the cost to build a modern agentic model is in the 10 figure range and growing

Source? The proliferation of labs building competent models would seem to suggest the opposite.

seems self evident if you read the new. You can Google it yourself, but here's the results from my googling - and this is just for the hardware. Double that to add personnel and corporate infrastructure

"To build or purchase the physical hardware required to store tens of petabytes of data and train a State-of-the-Art (SOTA) frontier AI model, you are looking at a capital expenditure (CapEx) ranging from $320 million to well over $1 billion."

Strongly disagree with your premise.

Programming languages are what you build creative and interesting things from, building in safety into your tools is a good thing.

I wouldn’t want a nail gun that shoots in the wrong direction when you apply the incorrect amount of pressure. Software engineering over indexes on an obsession with the tools themselves over the things you make with them.

Claude comments look like this

//add returns the sum of x and y

//per section 2.1 of addition-implementation-plan.md sum is designed as the seam for user addition interfaces.

//previously sum added numbers, now it adds numbers

def add(x, y):

    return x + y

Not subtraction, not division.

just reading this comments made me despise the fact that I have to read this shit again tomorrow

It's really time to move to OpenAI...

I’m trying to pitch my boss on something like bedrock/foundry/vertex where we can just swap the model and still have it serverless over an api.

Digital ocean particularly looks promising as well.

The corollary here is to have Claude write tests to enforce this. The only thing it is consistently responsive to is test failures.

I’ve been landing on go for a similar reason, which was the realization that LLMs are in many ways just massive cargo culting machines. People will call it “quality training data”, but really LLMs will just reflect the norms and behaviors of whatever ecosystem they’re using.

I like to think go’s lack of magic and standard library will lead to lower maintenance burden over time, but that’s mostly just vibes so far.

As someone who has mostly written Rust and Python over the last 10 years... yeah. Go is actually a really solid choice for Agents IME

OpenAI really doesn’t have infinite money. They have a lot of money, sure, but it is being burned like crazy, we know this. It is widely known that they are deeply unprofitable.

Compare that with Apple, a company that throws off billions of cash every quarter. This isn’t a legit comparison.

Legal fees are insignificant to open ai. Either they get profitable and the money does not run out or they don't, eventually can't raise more and close leaving these proceedings irrelevant.

At no point is money as a resource being spent on this legal case any kind of meaningful constraint. Equally true for both open ai and apple.

You? You're toast if you need legal justice with either co on the other side. The law exists so that the strongest might not always get their way. It was a good ideal, maybe we should bring it back.

yep the most that will happen is apple/openai co-branded devices or some sort of "corporate synergy" now that everyone knows apple tech is in the upcoming openai stuff. there's no value in it for apple to go nuclear like there was for google to push a competitor out of the market w/ uber vs waymo

A billion dollars would buy a hell of a legal team. You think they couldn't scrape that up from investors who stand to lose substantially more if OpenAI gets blasted?

On the other hand, investors might want to claw back on their investments if they think OpenAI is going south. OpenAI is a company built purely on momentum, so a 180 flip is part of the game.

I’ve been coming to hacker news for years (10+) and there has always been political commentary.

Real GDP is adjusted for inflation, nominal GDP is not.

Being in recession is typically defined as negative gdp growth.

So to answer your question, being in recession does account for inflation.