Labs’ current alignment plans seem terrible

Harvard study finds AI coding agents increase code output by 30% but create review bottlenecks, resulting in no net gain in software production or employment reduction.

Researchers developed Prompteina, the first all-atom protein structure generation model that accepts natural language descriptions as input.

Theoretical paper proves that prediction alone is insufficient for memory in learning systems, requiring additional state information for exact cumulative learning.

New Humanity's Sixth Sense benchmark reveals AI models score 53.6% vs humans' 93.1% on intuitive visual reasoning tasks like spatial logic and causal dynamics.

LLMs excel in 'cheap-loop' domains with quick deterministic feedback but struggle with expensive-loop tasks that are costly or slow to evaluate.