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I've been working on an agent control plane, project management, and version control all in one. I have been building on top of OpenAI's Symphony for a while now, and it finally came to a head where it was becoming too difficult to manage. So, I'm now working on this - hoping to solve agent logistics and ambiguous ownership (read: agents taking over the docs and making everything fuzzy).

I'd love to know if anyone else is working on this and what they've found so far

It hasn't always been the case. Even then, having piles of money still does not gain access to the best military equipment. Sure, we've been living in a time where a couple people get to enjoy a wildly different lifestyle than the average, it just feels like it's about to be different in a way that isn't as ignore-able as someone enjoying a pina colada in a yacht somewhere

5.1 was really more of an enterprise and bugfix update than a new model with the 0 day retention change

What's currently happening is predictable, I agree. It's what's coming is the thing I'm worried most about. Either way, I'm not giving up.

This is impossible, unless by 'wealth' you mean 'become like Buddha'.

Mythos was never released. It's really just the writing on the wall. I'm not going to give up hope, but it's pretty hard to win a race when some people get a jump on the gun.

I guess this "limited set of organizations" is just the standard now. It's just incredibly deflating to see my future as a second class citizen has already come

I have a pretty good use case for gpt-oss. The amount of time savings has actually been wild. Definitely worth a try. Just to be clear, it gets like 2000tok/s

Sorry, when you said hybrid I was expecting something that was partly an llm and partly something else. How did you arrive at your coherence/idiomaticity/accuracy numbers (if you'll forgive me not delving too deep into the website)?

Hey thanks for the reply! Is this "hybrid" method what you wrote in the last line - llm comparison?

2 hours in and this thread is already stacked, but I'll bite since I am stuck on this problem and need help. I am working on a language learning solution that involves llms. The way I am branding it is "Anki meets Ai" because it combines a flashcard-esque method of generating complete exercises such as multiple choice, cloze, etc. with the tried-and-true SRS methodology.

I think it works great! The problem is, I think it works great. The issue is that it is doubly-lossy in that llms aren't perfect and translating from one language to another isn't perfect either. So the struggle here is in trusting the llm (because it's the only tool good enough for the job other than humans) while trying to look for solid ground so that users feel like they are moving forward and not astray.

How are you using the service on a boox tablet? Follow-up, what kind of battery draw does it have on the tablet?