Let's not forget the now defunct line of Trident graphics cards, dating back to the early 90s. Phonetically I thought they were talking about a driver for it.
> 7. You must not share projects that mostly consist of code written by "generative AI"-tools (including services such as Claude, OpenAI Codex). Such projects having an unclear copyright status (see requirements § 2 (1) 1 and § 2 (1) 3) and furthermore have little safeguards to ensure that they do not include harmful code (c.f. § 2 (1) 5).
True, and even selling token price may not be illustrative of what it actually costs them to provide the service. Tokens may be sold at a loss if majority of spenders are running agents 24/7
The industry and users moves on from single chat-based to more and more "agentic" workflows that may generate longer workloads with multiple simultaneous agents (separate agents - separate contexts - separate KV caches).
My estimation is based on, say, running a Kimi3 on a 24 B200 GPUs - it is very easy to lose money when selling tokens at "market" prices.
Any recommendations for non-typescript-based coding TUI harnesses/agents other than Codex? Given that Codex is open source someone should've built an untethered client?
I'd guess some constraint on their end related to the Zero Data Retention (ZDR) mode? Maybe the 1M context has to spill something onto disk and therefore isn't compliant with HIPAA.
(I have spent a good amount of time hacking the llvm pass pipeline for my personal project so if there was a significant difference I probably would have seen it by now)
You are correct, that was an uneducated guess on my part.
I just glanced at the IR which was different for some attributes (nounwind vs mustprogress norecurse), but the resulting assembly is 100% identical for every optimization level.