How can an LLM switch between low-, medium-, and high-effort reasoning? And how does an LLM learn to reason more or less?
I put together a “little” article explaining how these effort levels are implemented at inference time and during training.
i gave 5.6 sol access to my camera roll and had it extract pictures of every piece of clothing i own from my photos
then, told it to find new outfits for me and render them on me with gpt-image!
its kinda cool to see your entire wardrobe in a collection like this
🇪🇺 Chat Control has passed 😔
They can and will now legally scan any person's messages, emails and photos you send without a warrant
The way they passed this law when the majority of the European Parliament was against it will shock you:
They waited until most EP members were on holiday so only a few were present and then created an "urgent" vote for it to pass it through
There's nothing democratic about any of it and big powerful forces are behind this that can manipulate the EU for whatever they want
Democracy in Europe died a bit today 😔
Introducing Mem0 (@mem0ai) - the memory layer for LLMs and AI Agents, enabling truly personalized AI interactions.
It helps in understanding your users and their preferences better - who they are, what they do, their food, location, coding, writing and other preferences.
BOOM!
It’s HERE: xai-org/grok: Grok open release!
We have been quantizing Grok!
My goal is to have it run locally on ANY modern computer.
We will even get a model for a Raspberry Pi.
Soon.
Here is the model link:
https://t.co/JOaxHQYULQ