DeepSeek's Liang Wenfeng Breaks His Silence: In a rare four-hour talk, the reclusive founder reveals an almost Daoist philosophy of AI—AGI as a tide no company can own...

3 months ago by eicker to c/technology

In a rare four-hour talk, the reclusive founder reveals an almost Daoist philosophy of AI—AGI as a tide no company can own, he argues China's only real gap with America is compute.
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712 58 points 3 months ago

I think it’s important to note that these models are open-WEIGHT and not open-SOURCE. Open-source would mean we could explore the training data itself. Open-weight models are great, but please let’s not call them open-source.

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phutatorius 14 points 3 months ago

Yeah, it's like an open-source distro that won't work without an accompanying opaque binary blob.

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LodeMike 4 points 3 months ago

What distros are like this?

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Meron35 2 points 3 months ago

Nemotron Ultra is a open source and already gives DeepSeek R1 performance (admittedly not that good anymore). NVIDIA has open sourced the entire training process, including raw datasets and synthetic data generation. The raw data is mostly curated web crawl data.

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General_Effort 1 point 3 months ago

The EU's AI Act calls them open source, so that ship has sailed.

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712 17 points 3 months ago

Just because a law mislabels something doesn’t mean we need/should follow that.

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Gsus4 6 points 3 months ago

"See, you can see the code in binary, it is open source" :D

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vane 3 points 3 months ago

According to EU law carrot is fruit.

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phutatorius 0 points 3 months ago

Yeah, but when 99% of the complexity of an app is in its config, having the config not be open is effectively the same as the app being closed-source.

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eicker 1 point 3 months ago

Perfect shouldn’t become the enemy of better. Open Weight AI isn’t Open Source AI, but it’s a huge improvement over Closed AI where you get neither the weights nor the training pipeline.

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TheMinister 3 points 3 months ago

But to put it another way, what would you say to stalling tactics on the climate? What we need is “perfect” and they are only offering us bottom line-friendly “better”?

“X-1” doesn’t solve the equation “x-1(x/1000),” know what I mean?

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