Tag
9 posts
Anthropic just pulled back the curtain on how AI *really* thinks, discovering a hidden 'workspace' inside Claude that mirrors human consciousness. This emergent feature, called J-space, could be the key to building truly safe and aligned AI.
A new AI model called SubQ claims to process a massive 12 million token context with 1000x less compute. If its sub-quadratic architecture holds up, it could fundamentally change how we build and scale AI.
Your LLM's memory is a ticking time bomb, killing performance and inflating costs. A new technique called Speculative KV Coding can shrink it by 4x without any quality loss.
A new paper reveals the AI industry's core belief—that bigger models are always smarter—is wrong. For a critical type of human reasoning, making models larger actually makes them worse.
Today's multimodal AI is a clunky mess of separate models taped together, hogging resources and slowing you down. Google's new Gemma 4 12B rips out this legacy plumbing, creating a lean, integrated architecture that runs at blistering speeds offline.
Top AI labs are racing towards AGI without agreeing on what it is. Google DeepMind just dropped a scientific framework to end the debate, and it's based on the human mind.
Everyone thinks bigger models mean smarter AI, but the data shows that's a lie. Discover the hidden engine driving AI capabilities to a vertical takeoff, leaving old scaling laws in the dust.
In a stunning new paper, OpenAI reveals how they deleted 99.9% of a model's connections to expose its hidden logic. For the first time, we can watch an AI make decisions step-by-step.
The era of simple AI chatbots is over. A new wave of models that can 'think' continuously is here, and it’s about to change everything from science to robotics.
