juliangoetze

What's the name of it?

Have you used Inkling enough to be able to tell? Or how can you be sure? Please add some substance before making such claims

I thought HN was different. And yeah, wherever I go, my timeline is full of Opus is so bad today and I will switch from Fable to 5.6 Sol, it's 1.5x better and vice versa.

Non-public benchmarks (ideally suited to one's own use case) are probably the best way to judge, I agree.

> This supposedly is better than KimiK2.7

How can you tell?

I just looked at the benchmarks and was kinda disappointed that it seems to be between KimiK2.6 and KimiK2.7 on most of the benchmarks.

Do you refer to what it feels like to use the model? Or are there other benchmarks I haven't seen?

I am very curious about how the "threat" of local inference and open-weights-models will change the trajectory of the model labs. The air will become pretty thin

I noticed that Claude's reasoning summaries show a phenomenon when I'm using the model in German (on claude.ai) - it mixes English grammar with German vocabulary!

"Evaluating Spülenposition gegen Wasseranschlussabstand" and "Analysierend die Platzierungskonflikte und Rohrleitungszwänge klären" are examples of generated summaries.

I wish someone could explain this - because I see no way that sentences like these would show up in training data. But maybe the RL for thinking has some quirks?

great point, we haven't really spent too much thoughts about that.. changing the logos to companies we know well makes more sense, we'll do that to save us trouble

tbh, we just looked at our users/ stargazers and picked the most interesting companies - and were cautious with the wording ("embraced by engineers")

so, i guess YOLOing it is the best way to put it

that gave the best results so far - tweaking the system prompt to make sure the agent respects the project's ui system, is aware of dark mode and responsiveness, etc.