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easde
searching Neon…
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by
easde
6y ago
Oh, I definitely agree that the most prudent decision a few years ago was to avoid Tesla like the plague. Why would Apple, the most profitable company in the world, want a nearly-bankrupt car manufacturer on its books? Nevertheless, with th
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by
easde
6y ago
How so? Apple could have bought a big chunk of Tesla and flipped it back to the public market for ~10 times the price today, for a cool $500B+ profit. Even if they wanted nothing to do with the company's operations. Of course, such an
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by
easde
6y ago
> Keep in mind, Tesla didn’t design or build the computers. Tesla has shipped their custom SoC in every new car since April 2019.
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easde
6y ago
Only for the first-gen Roadster, all the way back in 2008. Total sales: 2450.
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easde
6y ago
If you don't want the chip to throttle, the simple answer is to get the Macbook Pro, not hack together a crappy laptop from a Mac Mini :) Even then, the throttling on the Air seems pretty minor. About ~30% drop in performance after it
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by
easde
6y ago
Aside from what other people have mentioned already, there's one more trick. The Chase Freedom Unlimited gives 1.5 points per dollar on all purchases, which can be transferred to the Reserve and spent at 1.5 cents per point. Effectivel
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easde
6y ago
Until mid 2021 several other things also count for the travel credit such as gas and grocery stores. Chase probably did not want a wave of card cancellations over the $300 credit being mostly useless during the pandemic.
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easde
6y ago
Not just masks. Early projections (March / April) by supposedly reputable groups like IHME were wildly inaccurate. Even a cursory reading of their methods showed that they had no idea what they were doing. Oversimplifying a bit, they w
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by
easde
6y ago
Many of the tech companies are in the "bad" neighborhoods. Most notably Uber, Twitter and Square are all headquartered right next to one of the worst parts in the city (Civic Center / Tenderloin). I remember walking to one of
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by
easde
6y ago
TorchScript JIT (torch.jit.script) is similar for PyTorch.
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by
easde
6y ago
Back then a software engineer at a well-known big company would make around $30-50k (not inflation adjusted). Combined with 1993's interest rates (~7%) $300k was quite steep. Today the same engineer at a FAANG would make about $300k. H
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easde
6y ago
Hardly any of this matters in userspace or device-independent kernel modules, which is what 99% of developers work in.
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easde
6y ago
I like Apple's approach of having more narrow vector units rather than a few extremely wide ones. Narrower vector units are generally easier to program and easier to support on small cores (like the efficiency cores). It's a good
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by
easde
6y ago
This is an oversimplified statement. Extra decode width only helps if the rest of the CPU can actually process so many instructions in parallel without blocking on other resources like memory. x86 CPUs also have their own features to allevi
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easde
6y ago
I don't think I've encountered a single smartphone by a reputable vendor that has had significant issues sleeping, no matter the chip vendor or OS. Meanwhile people do have serious issues with sleep even on Intel Macs running MacO
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by
easde
6y ago
Old server hardware can be very cheap, although it's not necessarily the best value. Typically it only makes sense if 1) you need a lot of memory, 2) you don't mind a slightly higher power bill and 3) you don't care about sin
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by
easde
6y ago
Yes, consider vector floating point fused multiply-add (FMA). On a typical AVX implementation like Skylake, this instruction has a latency of 4 cycles and a throughput of 2 instructions per cycle. To avoid stalls, you'd need 4 * 2 = 8
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easde
6y ago
The study compares how many people in the experimental group and control group develop symptomatic COVID-19. In this case 11 people in the experimental group developed COVID-19 versus 185 in the control group. Thus the vaccine is approximat
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by
easde
6y ago
You're making completely the wrong comparison. On the left you have Geekbench 5 scores for the A12Z in the Apple DTK, and on the right you have Geekbench 4 scores for the Ryzen. The M1 has leaked scores of ~1700 single core and ~7500 m
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easde
6y ago
Refurb 12" Macbook? Wish Apple would reintroduce those with the M1. Awesome form factor, held back by Intel's anemic Core M CPUs.
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easde
6y ago
Dell even sold a 4GB (!) version of the XPS 13 for $999 up until a few months ago.
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easde
6y ago
They're lithium-ion batteries with carbon fiber electrodes. Doesn't matter what kind of battery it is though, once you start cutting through them you are very likely to short the electrodes together. Which usually ends in fires.
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easde
6y ago
Apple's perf/watt is much higher than AMD. Anandtech has the A14 within a few percent of the 5950X on single threaded workloads. Power consumption is 5 watts (entire iPhone 12) versus 49 watts (5950X package power). Normalizing fo
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by
easde
6y ago
Anandtech posted some comparisons of the A14 against Zen 3 today, which may be an interesting comparison: https://www.anandtech.com/show/16226/apple-silicon-m1-a14-de... Seems like the A14 is within 10-20% of the
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easde
6y ago
BTW, Stripe has already left San Francisco for South San Francisco (which is a different city).
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easde
6y ago
It's true that depthwise convolutions are bandwidth bound, but most networks that use them in combination with a kernel size 1 "convolution". If those two operations are tiled and fused together, the result is often compute b
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easde
6y ago
AB5 passed with approximately 3/4 of the vote from both houses of the state legislature, so even a 3/4 threshold would have placed Prop 22 at immediate risk of being overturned by the legislature.
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easde
6y ago
These changes are more about protecting the average user from shady repair shops that use fake parts. There are some particularly egregious examples such as cheap LCD replacements for OLED iPhone displays. Someone getting their iPhone fixed
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easde
6y ago
An old $100 PC with an RTX 2060 6GB would be a lot faster than a Jetson NX and only about $400 total.
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by
easde
6y ago
You'll want tensor cores, so I would stick to the 2000 or 3000-series Nvidia cards. Not to mention the headaches of using AMD cards with any ML framework.
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