benxh

At the current pace of iteration from Deepseek I think this is a moot point, they'll keep building their own RL environments, and just keep RL on top of whatever flavor of model they can train/host on their Huawei SuperPods

NATO v Yugoslavia 1999 is not like the others

Depends on what software/hardware you'll run it. GGUFs from Unsloth can run on pretty much every single potato; full weights need beefy gpus

benchmark where gemini flash is better than fable btw.

Crazy calling sovereign states "US Puppets".

Minimax has been great for super high speed web/js/ts related work. It compares in my experience to Claude Sonnet, and at times gets stuff similar to Opus. Design wise it produces some of the most beautiful AI generated page I've seen.

GLM-4.7 like a mix of Sonnet 4.5 and GPT-5 (the first version not the later ones). It has deep deep knowledge, but it's often just not as good in execution.

They're very cheap to try out, so you should see how your mileage varies.

Ofcourse for the hardest possible tasks that GPT 5.2 only approaches, they're not up to scratch. And for the hard-ish tasks in C++ for example that Opus 4.5 tackles Minimax feels closer, but just doesn't "grok" the problem space good enough.

It is arguable that the new Minimax M2.1 and GLM4.7 are drastically above Sonnet 3.7 in capabilities.

cline is used by a lot of devs

The longer "it" reasons, the more attention sinks are used to come to a "better" final output.

My biggest gripe with Ollama is the badly named models, e.g. under deepseek-r1, it defaults to the distill models.

I am assuming this will be solved this year.

If GPT4 is 220B/8 experts, that would be in-line with 3.5 Turbo being a 20B model, and GPT4 being a 55B activation out of a total 220B parameters.

It is ultimately all speculation, until Deepseek releases their own 145B MoE model, and then we can compare the activations/results

I personally was affected by this fire, although I've always kept 3 month backups of production data, encrypted, on-site, just in case of emergencies like this. Haven't touched their services for anything production related ever since