aurareturn

4 ms·

31.
by aurareturn 25d ago
Why are people such big opponents of the AI buildout? I generally don't see many cons to it. 1. Big tech was just using profits to buy back shares before AI build out. Would you rather they buy back shares with their profits or finance
32.
by aurareturn 26d ago
Super useful. Any open source tools like this?
33.
by aurareturn 27d ago
Incorrect. Leaked prior to announcement - Leaked Benchmarks Confirm M2 Chip is Up to 20% Faster Than M1 https://www.macrumors.com/2022/06/15/m2-geekbench-benchmark/ Date of article: June 15, 2022 10
34.
by aurareturn 27d ago
No, not the same. Those are review samples who got sent the product early. Those "leaks" happen AFTER the products have been officially announced by Apple. Apple has not mentioned M6 Pro anywhere.
35.
by aurareturn 27d ago
Yea but they aren't going to be talking about consciousness.
36.
by aurareturn 27d ago
Wait. What? This is actually the M6 Pro and not the M6. It has 18 CPU cores to the M6's 12. The scores line up as well. Reports have said all along that Apple is skipping M6 Pro/Max to focus on M7 generation. I can't remember
37.
by aurareturn 27d ago
They're not conscious in the same way humans and animals are. Critically, nobody trained Claude to do anything like this; the behavior emerged on its own. They clearly are trained to do so even if Anthropic didn't deliberat
38.
by aurareturn 27d ago
No, arguably, software engineers are in more demand than ever. I predict that in 2027, more software engineers will be employed than in 2026. I'm seeing many small companies who are hiring the first software engineer. In the past, one
39.
by aurareturn 28d ago
The phone that I'm still looking for is an iPhone Mini Pro. I miss my 13 Mini a lot. I'll take an iPhone clamshell fold if Apple ever makes one. That said, I understand why small screen phones don't sell well worldwide. For m
40.
by aurareturn 28d ago
Been seeing Waymo test cars in Tokyo.
41.
by aurareturn 28d ago
They are extremely reliable.
42.
by aurareturn 28d ago
This is exactly why Cerebras wafer chips aren’t even on N3. They stayed on N5. It is also why they are now stacking HBM onto the chip.
43.
by aurareturn 28d ago
A16 is a half node. It is a derivative of N2 family.
44.
by aurareturn 28d ago
Yes but it takes 8 years to have the same scaling as 2 years before.
45.
by aurareturn 28d ago
Yes, 5 years seems like an eternity in AI world. We also don't know how small of nm chips they can manufacture. If it's 20nm, it's practically useless for advanced AI chips.
46.
by aurareturn 28d ago
The compute part must have been made in Taiwan because it uses TSMC N2. TSMC N2 is only available in Taiwan right now due to a law restricting the latest node to Taiwan for 1-2 years.
47.
by aurareturn 28d ago
A simple ChatGPT can explain it to you. Intel being up 100% has nothing to do with China market being restricted. They could be up 200% instead if the China market is free.
48.
by aurareturn 28d ago
I'm well aware of how good China is at manufacturing. However, DUV/EUV machine manufacturing is unproven. What is the timeline like? 1 year? 5 years? 10 years?
49.
by aurareturn 28d ago
Not being able to have unrestricted access to the world's second biggest market does not relate to Intel being up over 100%. Just logic.
50.
by aurareturn 28d ago
Yes, but we don't know how well they work or what nm can they print or how machines they can make.
51.
by aurareturn 28d ago
Because having unrestricted access to both American and Chinese hardware is better than only Chinese hardware. Long term or short term. More suppliers the better.
52.
by aurareturn 28d ago
China is gated by not having EUV machine access. They're also bottlenecked by ASML's DUV machine production like everyone else. There are already talks of banning China from even purchasing DUV machines from ASML. So until China s
53.
by aurareturn 28d ago
US chip export winners and losers: Winners: Huawei, SMIC, CXMT,Chinese ASML-competitors, OpenAI, Anthropic, Amazon, Microsoft, Google, Meta. Losers: Chinese AI labs, Nvidia, AMD, TSMC, Micron, SK Hynix, Samsung, Intel. Any company that depe
54.
by aurareturn 28d ago
Do we know that AI can't invent a conceptual framework? If we give it a real problem to solve, it may just have to invent a new form of math to solve.
55.
by aurareturn 29d ago
Making paperclips: https://waitbutwhy.com/2015/01/artificial-intelligence-revol... https://waitbutwhy.com/2015/01/artificial-intelligence-revol... I first read these articles in 2015. Th
56.
by aurareturn 29d ago
That depends on the solution, right?
57.
by aurareturn 29d ago
Question: Did the theoretical math lead to the invention of GPS, cryptography, lasers, etc? Or did we encounter a real physical problem, then we found that someone had done some theoretical math before that would be useful for this applicat
58.
by aurareturn 29d ago
So my question is this: Would this slow technological progress? Or make it go faster? That math problems are found and solved as we run into real physical problems.
59.
by aurareturn 29d ago
Humans only invest in solving problems that matter one way or another. I also disagree that none of them solve "real" problems. They clearly do. Solving them have implications on real world problems.
60.
by aurareturn 29d ago
I don't understand this logic. Ok, so unresolved math problems are often something people discover while trying to solve a different math problem. However, math problems are really there to solve a real world problem. We have unlimited

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