This is provably not true. The fastest way for this to become true is to believe it, or at least to parrot it, even in a facetious way.

Ardent [0] is a well-funded, early-stage startup founded by an ex-Stripe engineer and three-time founder. We're building a platform which helps users blend the creativity of generative AI with the determinism of executable code.

We've raised ~$2.5M to date, and we're hiring another engineer to join the team. We're looking for highly motivated and talented candidates with experience working on a fully remote team, a strong interest in artificial intelligence, and alignment with our principles and way of working. [1]

Our interview process is efficient, and we don't do Leetcode or grueling all-day interview loops. We won't waste your time, we will stay in constant contact throughout, and we will get you an answer quickly.

If this sounds like something you might be interested in, read more about the job and how to apply here: https://ardent.ai/careers/product-engineer

Please note — You must be be a resident of, and eligible to work in, the United States. We are not currently sponsoring visas. This is a full-time, direct-hire position, and we are not interested in working with agencies or consultancies.

[0]: https://ardent.ai

[1]: https://ardent.ai/company

These companies have raised eye-watering amounts of funding, and will need to continue to do so for the foreseeable future. They're not yet self-sustaining, and this insecurity increases the pressure for them to compromise on ideals.

With that said, there is a massive war for top talent, and I think that the employees at the labs would become increasingly uncomfortable with their work being used for Bad Things. If Anthropic capitulates to the Pentagon, it wouldn't surprise me to see a mass exodus of talent occur.

The article isn't really talking about changes they made to goose, it's describing how they went about integrating goose with the rest of their developer infrastructure (ie. the AWS-based remote devbox system, Toolshed, etc).

The models are definitely continuing to improve; it's more of a question of whether we're reaching diminishing returns. It might make sense to spend $X billion to train a new model that's 100% better, but it makes much less sense to spend $X0 billion to train a new model that's 10% better. (Numbers all made up, obviously.)

I think it's clear now that the pace of model improvements is asymptotic (or at least it's reached a local maxima) and the model itself provides no moat. (Every few weeks last year, the perception of "the best model" changed, based on basically nothing other than random vibes and hearsay.)

As a result, the labs are starting to focus on vertical integration (that is, building up the product stack) to deepen their moat.

Ardent [0] is a well-funded, early-stage startup founded by an ex-Stripe engineer and three-time founder. We're building a platform which helps users blend the creativity of generative AI with the determinism of executable code.

We've raised ~$2.5M to date, and we're hiring another engineer to join the team. We're looking for highly motivated and talented candidates with experience working on a fully remote team, a strong interest in artificial intelligence, and alignment with our principles and way of working. [1]

Our interview process is efficient, and we don't do Leetcode or grueling all-day interview loops. We won't waste your time, we will stay in constant contact throughout, and we will get you an answer quickly.

If this sounds like something you might be interested in, read more about the job and how to apply here: https://ardent.ai/careers/product-engineer

Please note — You must be be a resident of, and eligible to work in, the United States. We are not currently sponsoring visas. This is a full-time, direct-hire position, and we are not interested in working with agencies or consultancies.

[0]: https://ardent.ai

[1]: https://ardent.ai/company