nik736

Morph is hosting this as well

Havn't seen it for months with other frontier models.

Sorry it was not one time but it happened easily 5-10x during the past few days on different topics and prompts and I didn't store them. It felt like when pushing the model on some specifics in some niche topics in German (I have been prompting in German and the model responded in German). It was the acutal output and not the thinking traces and it was through the API. I jokingly asked it what the character meant and it didn't even make sense in the context so it seemed like random chinese characters.

The weird thing about this model is that it spits out Chinese characters just like the chinese models when chatting with it in German. Happened to me quite often during the past few days.

There were a lot of people born in Russia with German ancestors and they had to leave Russia during WW2 or later left by themselves when the Soviet Union collapsed. Many chose to go back to Germany. This is also why there are probably a lot of Kazakhs in those statistics.

https://en.wikipedia.org/wiki/Russia_Germans

Those are crazy numbers for a Flash model. Hopefully they can scale what they are doing to 4.1 Pro.

When the host dies with local storage, the VM is dead. With EBS it's not, since it simply can be booted up on another host. EBS is also replicated accross multiple hosts.

Verda is great! The only thing bad about Verda is that it's sold out fairly often :-) So the $189M will hopefully help with that.

Anthropic trained their LLMs with copyrighted stuff but distillation is bad. Anthropic has closed models, China releases as open weight. DeepSeek even allows distilling their models, but China = bad. Understood.

Mistral Small 4 is also a MoE model, with way more params, so I would expect it to perform better. Our benchmark involves around 10% communication and writing in German and English and Gemma 4 26B A4B beats it although creative writing is the only category in our benchmark which might be a bit subjective.

Mistral has solid OCR, STT and TTS models and I would love to support them by switching with all of our business workloads to Mistral... but their LLM models are sadly not competitive at all. In our business benchmarks their Mistral Medium 3.5 with reasoning is worse than Gemma 4 31B and Glimmer 30B. It's a 128B dense model that's priced accordingly! Mistral Small 4 is way worse than Gemma 4 26B A4B. I applaude the effort that they release those models as open weight but Gemma 4 models are currently way easier to run with more tok/s and less hardware. Their API pricing is just insane for what you get. But I guess enterprise customers don't care about it, this is why they are probably not lowering it.

Gemma 4 31B is underrated. It surprises me a lot.

I have put together an internal benchmark on 1000s of business documents with weird tables, structure, etc. that I run on every relevant model release. Opus 4.8 performs very very well. But it is obviously overkill for the task (and expensive at doing so). I just wanted to respond to the OP.

Opus is very good at OCR. Way better than the small 1-4B VLMs. If Opus failed, most likely those smaller models will fail as well.

Why would you need the 3rd run if you pick the "one in the middle"?

> (I originally was going to say a computer that plays chess, but computers play chess with no intuition or instinct--they just search a gigantic solution space very quickly.)

Isn't that how LLM models are trained right now? Trying to predict the next word within a "gigantic solution space". Interesting.

In Germany we have several accounting software solutions like that for 5-10+ years that integrate with bank accounts, paypal, etc. - automatically suggests booking accounts and exports it via a REST API to the software accountants use. Accountants have access to it. Is this basically the same as your solution?

No lightmode?

Well, we have to "register" every new IP or new mail server with them as well. It's annoying and a weird system, but they respond quickly and it's just one todo we have to think about.

> Meaning that the technology was there and ready to make an experience that was truly excellent

In general I would agree, but Siri is honestly still so bad.

What I am missing with Gnome is the global menu I have with macOS. It's just my preferred way of working. This is also what I liked about Unity. Gnome seems to follow the same direction as Windows.

Additionally miller columns in Finder are just awesome and I don't have them with Nautilus. Those two things are honestly dealbreakers for me.

Yes, but only because of data privacy concerns.

GitLab is very very heavy with a lot of bloat and sadly still a bad UI/UX. I prefer Gitea for its simplicity. Gitea Actions are similar to Github Actions and they work great.

Which models will this be able to run at an acceptable token/s rate?

The problem with ONCE is that software is never finished. This is why most ONCE software that is still available today is charging a one off licensing fee + update fee (e.g. charge yearly for major updates or 10% of the one off fee per year). This is sustainable, but your model isn't. You will notice down the road in 2-4 years that it's no fun to work for free for users that expect an update because it requires patching or there are breaking changes.

It's only on-die ECC not real ECC

It's an interesting article, thanks for that.

What people forget about the OVH or Hetzner comparison is that for those entry servers they are known for, think the Advance line with OVH or AX with Hetzner. Those boxes come with some drawbacks.

The OVH Advance line for example comes without ECC memory, in a server, that might host databases. It's a disaster waiting to happen. There is no option to add ECC memory with the Advance line, so you have to use Scale or High Grade servers, which are far from "affordable".

Hetzner per default comes with a single PSU, a single uplink. Yes, if nothing happens this is probably fine, but if you need a reliable private network or 10G this will cost extra.

The most annoying thing for me currently is that when connecting to local smb shares with Finder and adding favorites (directories on shares), after a reboot they are still there under favorites, but it won't connect to them when clicking on them. So I have to manually reconnect to the server every time. This wasn't happening before.

Other than that, of course some things got slower, but overall it's an OK release. For example he new system settings were bad before, now they got a bit worse, but macOS 26 didn't introduce those changes.

They changed their license to AGPL, removed features (Web UI, etc.) and now they don't provide docker images/binaries. It's their project but; what's next?

Is there a fork already?