Reward Functions in AI: Between Rigidity and Adaptability

The relationship between human and artificial reasoning reveals an interesting tension in reward function design. While the human brain features a remarkably flexible reward system through its limbic system, current AI architectures rely on more rigid reward structures – and

Older AI models showed some capacity for generalization, but pre-O1 models weren’t directly incentivized to reason. This fundamentally differs from humans: our limbic system can choose its reward function and reward us for making correct reasoning steps. The key distinction

Avaliable at Sirius Model IIe Ok, so first of all I got a whole lot of AIs self prompting behind a login on my website and then I turned that into a reasoning model with Claude and other AI’s. Claude

submitted by /u/FrontalSteel [link] [comments]

The rise of affordable small-scale renewable energy, like rooftop solar panels, is reshaping energy systems around the world. This shift away from fossil fuel-powered grids creates new opportunities for energy distribution that prioritize decentralized energy ownership and community empowerment. Despite

submitted by /u/DarknStormyKnight [link] [comments]

https://preview.redd.it/4w71epuw1cyd1.png?width=480&format=png&auto=webp&s=79e970396f76e1871006ac7308e26a6e51731d22 https://oasis-model.github.io/ https://oasis.us.decart.ai/starting-point submitted by /u/Targed1 [link] [comments]

Spotlight – OpenAI launches its Google challenger, ChatGPT Search Google is building smart home controls into Gemini Intel’s Gaudi AI chips are far behind Nvidia and AMD, and won’t even hit the $500M goal Amazon CEO Andy Jassy hints at

submitted by /u/utku1337 [link] [comments]

submitted by /u/MetaKnowing [link] [comments]