Quite interesting to see them and Meta and others release before OpenAI supposedly is to release GPT 5.6 today, would it be better to release it before or after? Calm before the storm type of thing?
Why would it matter? It was of benefit to someone I assume and even if the code is AI generated I think in most cases the results were positive so in theory next AI training runs should be able to learn from those generated results altough that might require work in how training is done or more aggressive filtering. It's literally free RLHF training.
I'm perfectly capable of programming without internet or AI but I would admit it would take longer and in the modern world we live in it's often not economical to do so. After programming for over 20 years you start to get in that flow automatically at least you used to do so. I don't know if people starting out to program will be able to, but most experienced developers will feel this way I assume.
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I received this e-mail today and coincidentally some of my posts finally got some engagement and I guess you just get flagged as a bot by the bot system, welcome to the new internet. So much for open algorithm, it doesn't help you here.
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Glad to see other people realizing this. I've been running Gemma 26B-A4B Q4 on a 2012 Xeon with 16GB to 24GB of RAM in a container. It's getting around 8 to 12 tokens per second. Obviously it's not comparable to huge contexts and running it on a GPU and the image decoder in llama.cpp is super slow compared to a GPU but for some small automation tasks and general trivia questions it's decent. The speed is just enough to not have to wait for it to finish so you can read along.
Here's my setup. You may want to figure out what the best optimizations are for your specific CPU like AVX2 because mine didn't have most of them. I did try MTP briefly but I wasn't getting performance improvements. You could play around with the batch sizes for cache or context or go even lower for Q2 and don't overcommit on threads either, but I would suggest either defaults or trying out llama-bench. This isn't by any means the best I assume but it worked decently for me and I sometimes swap out Gemma for Qwen. You could also lower q8_0 to q4_0 for more context but it could hurt quality some say, altough I have noticed it too on some models.
I saw some small business owner complain about this behavior on twitter some time ago and he mentioned he only saw non-Americans do this and it made him really mad or something and he didn't provide the service and banned them or something. Funnily enough I do think this happens so sometimes I cancel instantly and sometimes deliberately wait until there are a few days left on the subscription exactly out of paranoia behavior that you'll get a worse service or something, that they must have some database field early cancel and mess with you or something.
Not to dismiss the AI but the important part is that you still need someone able to recognize these solutions in the first place. A lot of things were just hidden in plain sight before AI but no one noticed or didn't have the framework either in maths or any other field they're specialized in to recognize those feats.
Quick! Someone (a human) copyright and patent it. /s