The attention bottleneck In AI, “attention” is a term for a software technique that determines which words in a text are most relevant to understanding each other. Those relationships map out context, and context builds meaning in language. For example, in the sentence “The bank raised interest rates,” attention helps the model establish that “bank”… Read More »
Unlike conventional LLMs, these SR models take extra time to produce responses, and this extra time often increases performance on tasks involving math, physics, and science. And this latest open model is turning heads for apparently quickly catching up to OpenAI. For example, DeepSeek reports that R1 outperformed OpenAI’s o1 on several benchmarks and tests,… Read More »
“A muscular barbarian breaking a CRT television set with a weapon, cinematic, 8K, studio lighting” “A scared woman in a Victorian outfit running through a forest, dolly shot” “Low angle static shot: A teddy bear sitting on a picnic blanket in a park, eating a slice of pizza. The teddy bear is brown and fluffy,… Read More »
In the spirit of not cherry-picking any results, everything you see was the first generation we received for the prompt listed above it. “A highly intelligent person reading ‘Ars Technica’ on their computer when the screen explodes” “A cat in a car drinking a can of beer, beer commercial” “Will Smith eating spaghetti“ “Robotic humanoid… Read More »