nkohari
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
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
You seem to be glossing over the key piece of that statute. Peaceful protest is protected by the first amendment (free speech, right to assembly).
Congressional Republicans simply refused to confirm a legally appointed justice, allowing a conservative justice to be appointed in their place after the next POTUS was elected. Then, another liberal justice passed away creating another vacancy which was again filled by a conservative. If either or both of those things hadn't happened, Roe v. Wade would not have been overturned.
And sure, you can say it was the will of the people that a conservative was in office at the time, and appointed the justices, but that's not the same as voting for or against federal abortion rights.
(NB: I am currently working in AI, and have previously worked in adtech. I'm not claiming to be above the fray in any way.)
This is a perfect example of Chesterson's Fence. Is it true that there are too many levels of abstraction, that YAML configuration files are a pain in the ass, and so on? Yes. But it's because this stuff was created organically, by thousands of people, over decades of time, and it isn't feasible to just start over from first principles.
I don't know enough about electrical engineering to speak to it (funny how that works!) but I'm sure there are plenty of cases in EE that just come down to "that's how it's been done forever".
https://github.com/nkohari/forge
(For context: many years ago, I wrote Ninject, one of the more popular DI frameworks for .NET)
I don't have any problem with people having and voicing thoughts on politics. Everyone should strive to be well-informed and be capable of having reasonable conversations about politics, especially with people with whom they disagree. (Obviously, that's a charitable description of what's happening on social media, but that's a different topic.)
I guess ultimately the problem is that I want to follow topics, not people, and there isn't a great way to do that. Reddit provides an alternative but is comparatively low-volume, and voting represents a fundamental design problem because it by definition creates an echo chamber. And that's not even taking into account how over-moderated the site is at this point.