Microsoft Plans to Invest $5.5 Billion in Singapore by 2029 - WSJ
Microsoft Plans to Invest $5.5 Billion in Singapore by 2029 WSJ
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Revealing the Learning Dynamics of Long-Context Continual Pre-training
arXiv:2604.02650v1 Announce Type: new Abstract: Existing studies on Long-Context Continual Pre-training (LCCP) mainly focus on small-scale models and limited data regimes (tens of billions of tokens). We argue that directly migrating these small-scale settings to industrial-grade models risks insufficient adaptation and premature training termination. Furthermore, current evaluation methods rely heavily on downstream benchmarks (e.g., Needle-in-a-Haystack), which often fail to reflect the intrinsic convergence state and can lead to "deceptive saturation". In this paper, we present the first systematic investigation of LCCP learning dynamics using the industrial-grade Hunyuan-A13B (80B total parameters), tracking its evolution across a 200B-token training trajectory. Specifically, we propos
Estimates of the expected utility gain of AI Safety Research
When thinking about AI risk, I often wonder how materially impactful each hour of my time is, and I think that this may be useful for other people to know as well, so I spent a couple of hours making a couple of estimates. I basically expect that a tonne of people have put a bunch more time into this than me, but this is nice to have as a rough sketch to point people to. I'm going to make 3 estimates: an underestimate, my best-guess estimate and (what I think is) an overestimate. Starting facts [1] : Currently 8.3 Billion people on planet earth Current median age: 31.1 years Current life expectancy: 73.8 years I am going to commit statistical murder and assume this means that everyone on the planet lives ~42.7 years from this point onwards. Underestimate: 40 years of life left/person Media
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