So my biggest requirements are around making isolation between environments convenient but safe from supply chain attacks .
I wonder what usecase you were optimizing for
223 karma · joined April 18, 2024
So my biggest requirements are around making isolation between environments convenient but safe from supply chain attacks .
I wonder what usecase you were optimizing for
So eventually I removed everything other than autossh.
Seeing as how many people are building similar things I'd love to share more. Maybe wanna ad each other respectively to the repo's ?I can share some of my benchmark results
https://dach.peerbench.ai/compare?models=meta%2Fmuse-spark-o...
So it does mean something to be the top western model if it means better performance for western languages.
sry late benchmarks failed first few runs.
they also released an interesting smaller model https://news.ycombinator.com/item?id=50104922 3.5 bolt it uses 2bit quantization and beats the other small active layer models
But there is a usecase to have always on listening device transcribing everything. I have a coworker that programmed an app for his apple watch pro so when the button is pressed it starts transcribing the meeting its super super handy for meetings on the go IRL without a google meets room. ^I looked into doing this in android its impossible in the SDK at the moment can't get access to the button.
I have personally build an always on local first setup in my office. It listens for me saying "send this to __employee_name__" and other similar things to do in parallel while i keep typing on my work instead of alt tabbing into w/e slack app that then might have an expired session one must login to again. (Not done but i think there are usecases)
i'm sure people have also heard of that pebble ring Pebble Index 01 many people are super stoked about it and I was about to click buy until i saw A) single use battery no recharging B) 15second timelimit or something else very short.
SO IMO there is a market but its hard to get the product right
https://dach.peerbench.ai/compare?models=google%2Fgemini-4-a...
Here are my results
https://dach.peerbench.ai/compare?models=mistralai%2Fmistral...
Looks like a bit better than the recent Kolibri-1 but still below Qwen3.8 27B
Putting data centers in Antarctica or extreme north Canadian islands would also put you out of the way of molotov-throwing joe public. Even in space your not safe from the voting public as long as your companies directors are sitting on earth somewhere.
hy4 ranks ~14th overall
https://dach.peerbench.ai/compare?models=tencent%2Fhy4-previ...
But this is qwen based.
But w/e I'm pro AI so more companies having more people with skills for more post training is cool
I remember in 2015 having the IPFS concept blow my mind its such a memorable moment when it really felt like someone designed something significantly different that current mainstream paradigms. But in the end it seems like it was still a case of a cool technology looking for a use-case not solving a real problem.
But fair enough everyone can have their take.
Qwen 3.8 27B is a small improvement with some regressions in our benchmarks not a huge jump like benchmarks listed.
https://dach.peerbench.ai/compare?models=qwen%2Fqwen3.8-27b,...
German language has never been a big focus for asian models but they still outperform Gemma models https://dach.peerbench.ai/compare?models=openai%2FQwen%2FQwe...
So in production we have been using Gemini Flash Lite as primary and fall back to Qwen when gemini servers are overloaded or just giving us 429
I usually have one local clause orchestrating multiple remote Claude in different tmux . And then another orchester and remote vm worker sin tmux for another repo etc...
It gets a bit hard to keep the overview but I don't want to give up my parallelism, your too might help
Gemma 4 26B (a4b MoE) 0.647
Qwen 3 14B 0.621
Gemma 4 12B 0.618
Ministral 14B 2512 0.604
Gemma 3 12B 0.547
The quwen 3 14B vs Gemma 4 12B difference is within random variance they same in some repeat runs they actually got the exact same score. Next step up Gemma 4 31B gets 0.676 on this. Or let in some reasoning Qwen 3 14B (reasoning) 0.676.I'll run some cheat-proof benchmarks ones tomorrow see if qwen is still on top.