I would love to understand the thought process behind this. I'm sure it's a fun experiment, to see if it's possible and so on... but what tangible benefit could there be to burning tokens to spam comments on every post?
The "extra" is that the government is now attempting to unilaterally renegotiate contracts, and if the contractor disagrees, not only do they terminate the agreement but they restrict how other companies can work with you.
I don't think anyone is disagreeing it's a shrewd decision by the corporations, just that it shouldn't benefit the Secretary of Commerce. We're a long way from having to put your peanut farm in a blind trust to avoid the perception of corruption.
Ardent AI | Product Engineer | REMOTE (US) | Full time | $180-200K, 0.5-1.0% equity
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.
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.
The "generative AI + deterministic code" framing is exactly the pattern I've been productizing: I built a YAML-driven AI Workflow API (FastAPI + ARQ + Claude + SSE streaming, 148 tests) where each LLM node has explicit typed schemas and condition branches — AI creativity gated by deterministic routing logic. Also shipped a GHL Multi-Vertical Kit (87 tests, 3 production verticals via config swap) and a GraphRAG demo with hybrid BM25+RRF retrieval. 19 AI/ML certifications (Google, DeepLearning.AI, IBM, Microsoft). US resident, no sponsorship needed.
I don't think they've given up on the idea, but as AI becomes increasingly mainstream, the labs will be under immense pressure to hold the line. We're seeing this play out right now with Anthropic and the Pentagon.
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.
I don't have specific information about Minions, but I do know about Stripe's architecture and internal tooling.
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).
This was also my experience. I was a daily drinker, but once I started on tirzepatide I lost all interest. Even after I stopped taking the medicine, I still wasn't interested. I'll occasionally have a cocktail or glass of wine, but it's now a once-a-month sort of thing.
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