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[return to "2025: The Year in LLMs"]
1. ksec+RD[view] [source] 2026-01-01 07:40:29
>>simonw+(OP)
All these improvement in a single year, 2025. While this may seem obvious to those who follows along the AI / LLM news. It may be worth pointing out again ChatGPT was introduced to us in November 2022.

I still dont believe AGI, ASI or Whatever AI will take over human in short period of time say 10 - 20 years. But it is hard to argue against the value of current AI, which many of the vocal critics on HN seems to have the opinion of. People are willing to pay $200 per month, and it is getting $1B dollar runway already.

Being more of a Hardware person, the most interesting part to me is the funding of all the developments of latest hardware. I know this is another topic HN hate because of the DRAM and NAND pricing issue. But it is exciting to see this from a long term view where the pricing are short term pain. Right now the industry is asking, we have together over a trillion dollar to spend on Capex over the next few years and will even borrow more if it needs to be, when can you ship us 16A / 14A / 10A and 8A or 5A, LPDDR6, Higher Capacity DRAM at lower power usage, better packaging, higher speed PCIe or a jump to optical interconnect? Every single part of the hardware stack are being fused with money and demand. The last time we have this was Post-PC / Smartphone era which drove the hardware industry forward for 10 - 15 years. The current AI can at least push hardware for another 5 - 6 years while pulling forward tech that was initially 8 - 10 years away.

I so wished I brought some Nvidia stock. Again, I guess no one knew AI would be as big as it is today, and it is only just started.

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2. coffee+1F[view] [source] 2026-01-01 08:03:40
>>ksec+RD
Seems like Nvidia will be focusing on the super beefy GPUs and leaving the consumer market to a smaller player
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3. Flow+rO[view] [source] 2026-01-01 09:55:34
>>coffee+1F
I don't get why Nvidia can't do both? Is it because of the limited production capabilities of the factories?
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4. ACCoun+nQ[view] [source] 2026-01-01 10:20:22
>>Flow+rO
Yes. If you're bottlenecked on silicon and secondaries like memory, why would you want to put more of those resources into lower margin consumer products if you could use those very resources to make and sell more high margin AI accelerators instead?

From a business standpoint, it makes some sense to throttle the gaming supply some. Not to the point of surrendering the market to someone else probably, but to a measurable degree.

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