Effect of fission products on tensile strength of UO<sub>2</sub> Σ3 (111)/[1<math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg" class="math"><mover accent="true"><mn>1</mn><mo stretchy="true">¯</mo></mover></math>0] and UO<sub>2</sub> Σ11 (1<math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg" class="math"><mover accent="true"><mn>1</mn><mo stretchy="true">¯</mo></mover></math>3)/[110] grain boundaries from first-principles study

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But you could also read those quotes as the latest example of a hot startup’s ethics becoming grayer as its valuation rises. (Remember Google’s old “Don’t be evil” mantra that it later removed from its code of conduct?) The latest versions of Claude have drawn widespread praise, especially in coding. In February, Anthropic raised $30 billion in new investments. It now has a valuation of $380 billion. (Speaking of the competition Kaplan referred to, rival OpenAI is currently valued at over $850 billion.)

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Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.