Artificial Intelligence thread

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henrik

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Michael90 said:
Yeah reason I said china has a longer way to go to reach US status of being the global leader in attracting talents not just from china but around the world . Thats an advantage that will be tough for china to match. The best China has been able to achieve so far as been trying to attract top Chinese origin talents from relocating to china and trying to keep most of them from moving overseas it has been tough but fairly successful. But trying to attract non Chinese top talents globally to china is almost negligible/null. Reason I said, china has a longer way to go to match the US (who attracts rhe best from around thr world, including from China). China will need to be more open to foreign(non ethnic Chinese) talent making a life in china permanently , something I'm not sure most Chinese will be happy with. It might create a backlash from the public like we saw with the little reforms the CCP tried to make on attracting more skilled visas from the world. So the government has to be careful in not generating a sentiment of anti foriegners in China, just like we have seen in Japan recently (another very homogenous and reserved country).
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What crap are you talking about, when China is already among the global leaders in attracting all kinds of foreign talents?
 
tphuang

tphuang

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bsdnf said:
Speaking of GLM, they're facing the same computing power bottleneck again. GLM 5.1 is too good and too cheap; everyone's rushing to buy their coding plans, they're resorting to purchase limits and price increases to discourage their users.
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that is indeed the case. I'm negotiating right now with someone from ZAI on interviewing for my podcast. They are overwhelmed with requests. very popular indeed.
 
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anzha

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Someone here mentioned genetic algorithms were a dead end for AI. It seems astronomers in China may disagree. Their GAMMA-CNN system seems to be pretty effective at IDing pulsars.

When trained with multimodal data, comprising profile, DM-curve, subband, and subintegration plots, GAMMA-CNN achieved an F1 score of 97.79%, recall of 95.80%, and precision of 99.80% on the HTRU dataset and an F1 score of 99.70%, recall of 99.40%, and precision of 100.0% on the FAST dataset, demonstrating its performance across multiple modality settings on the HTRU and FAST datasets.
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Michael90

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Franklin said:
This is going to far.

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I don’t think it’s going too far. It’s just facing the reality on a factual basis than emotional one. People need to learn to adapt to change else they will get left behind because change will always happen whether we want it or not . So better join the train and adapt or get left behind .
Creative destruction is the key word here, and it will keep happening as new companies/industries will emerge while old ones will slowly(not quickly) fizzle out. So it’s better to be prepared and adapt quickly so you are on the right side of change than being a victim of one
 
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tphuang

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