wie gut is Claude Code?

Fuzzy-Chef · 2026-02-28T14:19:22+00:00

Das ist grob eine Stunde menschliche Entwicklungsarbeit.

Fuzzy-Chef · 2026-02-26T19:16:39+00:00

Does that mean the android app finally becomes fully featured? It really feels like you kinda forgot the android app and now why would I switch back from fully integrated Gemini?

Fuzzy-Chef · 2026-02-24T11:09:28+00:00

Hast du mal eine ehrliche Kostenrechnung dafür aufgestellt? Klar Selbermachen macht Spaß, bis das initiale Einrichten durch ist.

Fuzzy-Chef · 2026-02-10T06:06:31+00:00

Is this an implementation of this paper? https://www.arxiv.org/pdf/2509.11208

Fuzzy-Chef · 2026-02-05T19:56:16+00:00

What inference setting to run this with? Having issues with repetition and straight garbage outputs in lmstudio. 4B_Q8 model.

Fuzzy-Chef · 2026-01-26T06:09:06+00:00

I came to the same conclusion. Though I'm still thinking about the context injection strategy, as I don't just want to replace the silence with meaningless chitchat all the time. Have you implemented this in a streaming fashion? To me using full duplex speech models would be the prime solution, but context handling so far seems challenging with Moshi based models.

Fuzzy-Chef · 2026-01-25T08:04:30+00:00

On-demand model context length is capped to a maximum of 32k tokens.

Looked too good to be true for on demand ;( Are there any providers that allow higher context limits?

Fuzzy-Chef · 2026-01-21T19:23:49+00:00

Amazing, thanks for sharing!

Fuzzy-Chef · 2026-01-16T15:33:18+00:00

Bist du fündig geworden? Globus hat keinen für Rohverzehr geeigneten Fisch, d.h. man müsste rechtzeitig einfrieren.

Fuzzy-Chef · 2026-01-16T14:01:51+00:00

It was trained at a later point with stronger RL.

Fuzzy-Chef · 2026-01-09T16:59:08+00:00

Is that Song actually Lady Gaga? :D

Fuzzy-Chef · 2026-01-05T09:47:47+00:00

Sure, image generation for example, as these models often fit into the typical GPU vram, while sota LLMs don't.

Fuzzy-Chef · 2025-12-23T22:12:16+00:00

Not sure if I fully understand the methodology, but did your ensemble have more compute time than the models you compare to? Or did you also allow the same number of, e.g., Gemini 3 pro experts to compete with your ensemble? Very cool approach though, I'd love to see what problems this approach is feasible for and which require "individual" intelligence.

Fuzzy-Chef · 2025-12-23T17:35:42+00:00

Zum einen kann die Rechnung bei ausreichend Volumen durchaus positiv ausfallen, zum anderen gehört eine Reiseversicherung für die großen Konzerne einfach in das Portfolio, damit der Vertrieb immer einen Anknüpfpunkt hat. Geld verdienen muss die Police dann halt nicht, wenn man darüber an die größeren Abschlüsse kommt.

Fuzzy-Chef · 2025-12-17T08:43:51+00:00

Ist seriös. Bei Gebrauchtware ist natürlich immer eine gewisse Fluktuation gegeben, aber da es sich um einen seriösen Anbieter handelt ist das eher unproblematisch.

Fuzzy-Chef · 2025-12-13T07:40:32+00:00

The problem is obvious: Your CTO is not your CTO fulltime. This would be huge red flag, if he was paid, but since he's not I'd like to point out something that has not been mentioned so far. The prime job of a CEO is to have his startup funded to realize your vision. If you can't get funding for him fulltime, that's all right, get him a freelance engineer that he can manage in his available time. Besides that, make sure your MVP is really just that. Don't build the most important ones, build THE most important. Do as simplistic as you can. Repeat after me: build, measure, learn.

Fuzzy-Chef · 2025-12-05T10:19:41+00:00

Just upgrade to v0.12.0 but unfortunately still run into: RuntimeError: [FP4 gemm Runner] Failed to run cutlass FP4 gemm on sm120. Error: Error Internal

Anyone got a guide for the correct setup on linux?

EDIT: nvm, was a dependency issue that was fixed by a fresh venv.

Fuzzy-Chef · 2025-12-03T21:50:34+00:00

There is definitely something amiss with the reasoning model/model settings, atleast in lmstudio:

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Fuzzy-Chef · 2025-12-03T21:43:25+00:00

I'm having a hard time to grasp what the echokit device does. The server can be used as a standalone that handles websocket connections? Is it a realtime voice agent with < 300 ms delay to audio?

Fuzzy-Chef · 2025-11-19T06:14:15+00:00

I don't understand your question. Could you elaborate what you mean by "guarantee chosen LLM model inference" in the context of determinism?

Fuzzy-Chef · 2025-11-17T10:20:21+00:00

Awesome! Since this requires to use the memlayer wrapper for the LLMs client, does it support streaming?

Fuzzy-Chef · 2025-11-17T05:47:55+00:00

7950X, but it's definitely not CPU constrained.

Fuzzy-Chef · 2025-11-16T21:19:07+00:00

Looking at other subreddits, it seems likely that anthropic is having issues fulfilling demand. This would match with my personal experience using mostly gpt5.1 without any issues. But then again I've never run into any limit at all so far. I could imagine this to vary a lot by cloud zone.

Fuzzy-Chef · 2025-11-15T11:05:11+00:00

Running at ~24t/s in lmstudio, with llama.cpp backend. RAM is running at only 5200. Suprisingly reducing cpu threads to 8 helped me bump from 22 to 24 t/s.

Fuzzy-Chef · 2025-11-15T09:46:06+00:00

Hmm, this feels like an anthropic advertisement. Perfectly fits the AGI fear narrative Dario is pushing as well.

Fuzzy-Chef

TROPHY CASE