hustwindmaple1

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anno scorsodiscuss

Every major Cloud vendor is trying to develop their custom AI ASIC. Putting Google aside, Amazon has trainium/inferentia, which Anthropic uses quite extensively. Microsoft is doing sth. similar, although they are quite behind. OpenAI is doing it. Meta is doing it. That's why the stock price of Broadcom/Marvell soared.

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I remember Kumo was focusing on GNN when it was founded (Jure's strength back then). Looks like they are pivoting or have pivoted.

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You are basically doing a heurstic. Your solutions are not guaranteed to be optimal. Integer programming is the way to do.

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If you are not a paying GCP user, there is really no point to even look at Vertex AI.

Just stick with AI Studio and the free developer AI along with it; you will be much much happier.

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Really appreciate your team's enormous efforts in this direction, not only the cutting edge research (which I don't see OAI/DeepMind publishing any paper on) but aslo making the content more digestible for non-research audience. Please keep up the great work!

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His Alibaba/Arm bets are legendary. Both made $100B+

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Housing is definitely not easily affordable. But the other points are valid.

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Cool blog

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there is limited TPU support in pytorch via torch_xla

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When he drops a vid, you don't ask questions. You watch first and then ask questions :)

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High-Flyer is pretty damn rich actually. Someone did some calculation and it turns out they are spending ~$200m (somewhere in that range) on 150 employee compensation alone.

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prob. not prof; just phd students needs pubs to graduate

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Are you comfortable to send your personal/company code data to a Chinese company (ByteDance)?

2 anni fadiscuss

There are a couple, i.e., OLMo 2

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Exactly. Kind of like the old days when they put together a massive amount of commodity CPUs to build search.

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GDM is a research lab. They are not set up for production. There are other teams in Alphabet doing productionization stuff.

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Large Chinese companies usually have overseas subsidiaries, which can buy H100 GPUs from NVidia

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well, is Waymo doing better than the PyTorch-powered Tesla?

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Just use Brave. You'll thank me later ...

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Reformulation is a good strategy for many hard problems.

It might also be possible to add problem-specific cuts/heurstics to the solver so that it can solve it fast.