skysight-inc/HackerNews huggingface dataset:
Excellent! I think that's exactly what I was looking for! Thank you so much for going into detail on that, it helped immensely.

I have a similar problem (though can't talk too many details) with discrete "ticks" and with a constrained CPU (a peak constraint, I have plenty of aggregate CPU power over time). I think I could fit some simple version of the symbolic module optimizer algorithm like you describe into the unused CPU time to optimize the spiky algorithm before I receive events (the events are spread apart pretty good) to return more accurate and timelier results when they do come. I am using a Haskell-like language for this that compiles to a binary format with a similar graph reduction scheme for the compiler as you describe for the symbolic reducer, so it should be very simple for me to compose the modules as you describe.

The problem I have now is that when I need to calculate something that's very-high-priority (some events have hard deadlines), I would like to have a more optimized algorithm, but I don't have time to optimize it on the fly from the information I know (my knowledge is continuous, only the events are discrete), so I have to use less-accurate results or sometimes I don't have an answer so I just return a "no answer" response and the process fails. I tried using some crappy default values, but it would still fail most of the time.

I think about my problem like a process which has a target and my answer is the "direction to aim at" for the process and so if I return a bad result to this process it'll just miss the target, so I just say "sorry, can't aim right now, wait 1 more tick" and I then am able to start a calculation for the next round before the process even asks for it and it finishes easily this time, since my events have a low frequency. Using an optimal algorithm (which I can get from a symbolic reduction: that's how I did it--by hand--in the first place to get my current algos) will always return the answer in time, based on my models and experiments.
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Ok, so I've heard that tether printing story over and over. Is there a reputable source for these claims?
iMacs are only an option if you want the monitor Apple happens to have paired with it, and that monitor addition isn't cheap, either. The Mini is still the only non-ridiculously priced "desktop" that Apple offers.

But I think the OP was referring to the stagnation of the general desktop space, not Apple's lineup specifically. As in, there's almost no reason to upgrade your 2015 iMac to a 2020 iMac. It'll have nearly the same CPU performance and nearly the same day-to-day experience. See also all the PC gamers who have been holding on to Intel CPUs from half a decade ago because there was just no point to upgrading. A 5 year old 6700K is still basically competitive with a "modern" 10600K.
I think the disconnect this time around is in productionization. We're getting breakthroughs in a wide range of problems, and translating those gains in the problem space into 'real' stable, practical solutions we can use in the world is the remaining gap, and often takes years of additional effort. It's still really expensive to launch this stuff, and often requires domain expertise that the ML research team doesn't have.

We're seeing a lot of this pattern: ML Researcher shows up, says 'hey gimme your hardest problem in a nice parseable format' and then knocks a solution out of the park. The ML researcher then goes to the next field of study, leaving (say) the doctors or whatever to try to bridge the gap between the nice competition data and actual medical records. It also turns out that there's a host of closely related but different problems that ALSO need to be solved for the competition problem to really be useful.

I don't think this means that the ML has failed, though; it's probably similar to the situation for accounting software circa 1980: everything was on paper, so using a computerized system was more trouble than it was worth. But today the situation in accounting has completely flipped. Apply N+1 years of consistent effort improving data ecosystems, and the ML might be a lot easier to use on generic real world problems.
Right, but just because bad things have come from science and technology doesn't mean that we get rid of science and technology. It means we have to be more vigilant about doing good things with our tools.
"…successfully runs Windows 10 [in a VM]"
Generally how bots play is that you have a good engine, and every so often it'll pick a random move or a lower scored move to lower the difficulty. The frequency of the random move increases as the difficulty is lowered. The engine detector would likely find that since the number of non engine moves would still be quite high.

Something like Leela trained for less time could produce a lower Elo bot. I can't imagine it will look very human for its skill level though. Like, being a 1600 while consistently playing 600 level one move blunders because it hasn't figured out how bishops move yet.

This still doesn't get you past the other common detection system: click stream
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Tether has accounting problems and remains a systemic risk. But this is mitigated by several factors. First, they are semi-audited and most educated guesses suggest they are collateralized one-to-one with $ at 70% or more. Second, tethers have become less systemically important over time, as other, better audited (or collateralized) stables have taken market share — this trend will likely continue. Third, tether brr doesn't compare to Fed brr and never will be able to, so ultimately, this won't matter in the long run.
How are they following the Nintendo path? These machines are clearly faster than the market segment, and apple is the leader in ARM CPU technology at this point, and they’ve been the mobile CPU leader for about 7 years, whereas Nintendo’s latest offering integrated mostly commodity technology from Nvidia Tegra. I don’t see how you can draw this parallel.
Santa Monica is not a good choice for affordable living in a good neighborhood with a good school district in Los Angeles. Look a bit further afield in cities like Torrance, or even North OC cities like Fullerton or Garden Grove. If you insist on living in an expensive coastal city like Santa Monica, expect to pay for that privilege.
You just referred to a HTML page

... having a counter on the bottom which says:

> The number of hits on this page since 1996 Feb 12

... a HTTP Response Header

> Last-Modified Sat, 27 Jan 2007 02:38:36 GMT

Stating that these aren't "the latest insights" would be putting it mildly.

My comment referred to commercial viability. It at this point in time, Uranium has only been extracted from seawater in a laboratory setting, per the Wikipedia article I referenced.

Yes, there's always "but technology will advance to a point where it will be viable". But then I'd argue: Beware of optimism bias when predicting the future. You don't know whether economic, social and political circumstances will converge over the next decades towards such trajectory that extracting uranium from seawater and using it in nuclear reactors becomes a commercial viable enterprise.

You yourself may be confident they will, but that doesn't make it so.
I think one of the most important aspects was that Slack was flying under the radar of procurement, IT and security. Anybody could just setup a nice place for their team to start chatting and sharing documents - even across organizations.
Wrestlers aren't strength athletes. They don't train to prioritize strength.

At any rate, your understanding of cardio and strength training is out of date: https://www.strongerbyscience.com/avoiding-cardio-could-be-h...

See the Tactical Barbell books for programming strength and endurance concurrently in a way that leads to improvements in both.
It fascinates me that the German Government funded this
Ah right I always forget about the 13” Ugly step sister - it was igpu only for the intel models too.

However the other pro lines (MBP15/16 iMac Pro; Mac Pro) are all equipped with dGPUs
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I was reading about Moderna today, and I found a number of articles from 2017-18 expressing concern about their secretiveness and impatience with both safety precautions and the failures that are inevitable in drug trials, based on the experiences of former employees and science journals. I can't deny that makes me nervous. I didn't see anything about it after that time, however.
Hope so. I could happily use arm chips on mobile.
That being said, Tony was a great guy, and did so much for countless people. Myself included. He will be missed. His community of clingers and simps though... they are in finger pointing mode and eating themselves alive.
It'll be curious when they inevitably release the "M2" chip with higher memory capacity. If M2 has 32gb support I'll buy one immediately. For now, I'll be sticking to my "never buy gen 1 of any technology" rule. Right along side my, "use tech until it breaks" rule, however if you incentivize yourself to be a "power user" meeting the latter rule is far easier than the former ;) .
I (well, We) got one. It's going to vary based on your number of dependents and your tax bracket. Tax law being so super-easy-to-understand here in the states. /s

WRT mortgages, given some of the other threads in this discussion pointing out that something like 70% of millennial homeowners were married, it certainly seems relevant.

EDIT: It looks like it really depends on the income levels of both parties. Two well paid professionals will probably see a penalty filing jointly, whereas a single professional income will likely see a benefit.

https://en.wikipedia.org/wiki/Marriage_penalty
Well you’d expect the barrier to either be rigid enough to survive the impact (like a concrete barrier would) and have the cars safety features absorb the impact, or to crumple in a way that absorbs the impact. To me it seems like the Armco is just a bad barrier for that part of the track, because when he hit it, his car penetrated between the horizontal parts of the barrier, but the chassis was torn in half when it encountered resistance from the upright support beam (which really should have given way as well).

I don’t know if this Armco wasn’t up to spec, but the way this barrier performed, it made the crash as bad is it could possibly have been. Compare this crash to LeClerc binning it at a similar speed/angle into the tire barrier at Monza.

https://youtu.be/K0WzAatudAo

It seems that literally any other sort of barrier would have performed better here, and since this is a fast part of the track, you’d typically expect this to be something that had already been considered.
> * How many bytes of register files does the OS have to save on task switches? (With this question, subregisters shouldn't be counted.)

This is something that has been bothering me for some time now - actually since the mid-80's: why not implement multiple contexts as an index into a large register file? This way, a context switch would take the time it takes to write to the `task-id` register. It will impact latencies, but would the impact of having, say, 8 contexts not be smaller than having to hit L1 or L2 for the same data?
What, but I thought "Microsoft <3 Open Source" && "Microsoft <3 Linux"

They even open sourced... calculator and powershell.
Are the trial participants exposed to the virus purposefully or is the result that none of participants developed covid just from regular daily living?
> Just nobody believed those Geekbench benchmarks showing that in short benchmarks your phone could be faster than your laptop.

Except for a lot of the Apple-centric journalists and podcasters, who have been imagining for years how fast a desktop built on these already-very-fast-when-passively-cooled chips could be.

Not that that matters very much when experienced and real-world workload performance suffers, but as far as I can tell, the M1 is no slouch in that respect either.
> sophisticated characters where they were using Texan and Louisianan accents

And then there was Daniel Craig doing an atrocious southern accent in Knives Out.
Here is a video that covers that "good" barriers supposed to do https://www.youtube.com/watch?v=FkpvPWB3jMk .

They supposed to slow down (gracefully, not 50G we saw) and contain the car. Different corners (slow/fast) use different designs. Barrier technically failed at both tasks. You can argue that ripping the car in half was containing, but that wasn't supposed to happen.
The same problems happen in those languages — the underlying problem is someone not specifying version constraints they actually have. If you get more experience with those other languages you'll definitely encounter that with projects which aren't carefully following semantic versioning. In particular, this goes back to your previous confusion about C/C++ — if you're having a problem with those toolchains, the underlying problem is that they don't have a package manager at all and every downstream tool has to compensate for that.

The one part which is worse in Python than some of those other languages is that the default tool doesn't track all of the dependencies when you install a new package. If you're not using something like pipenv, poetry, etc. you can add "foo" to your requirements file and have it work now but break in the future if you aren't using a tool to pin specific versions (e.g. pip-tools). Some other tools like NPM or Cargo avoid that by default but that's certainly not true of all languages and it's something which is widely acknowledged as an area for improvement by the people recommending or working on the aforementioned tools.
I find it interesting you use this kind of disparaging tone when discussing Apple Silicon. I also find it interesting that you consider having a wide decoder not as a technical trick but as "throwing hardware at the problem."

However you try and spin it, what it comes down to is this, Apple is somehow designing more performant processors than every other company in the world and we should acknowledge they are beating the "traditional" chip designing companies handily while being new at the game.

If it's as easy as "throwing hardware" at the problem, then Intel and AMD and Samsung etc should have no problem beating Apple right?
The explanation provided by the article is poor. It has very little to do with SoC or specialized instructions -- it's fast on general purpose code.

The main reasons appear to be that it's a solid design, i.e. competitive with what x86-64 processors are offering, and on top of that has some specific characteristics that x86-64 processors don't currently have (but obviously could). It's built on TSMC 5nm, which is possibly the most power efficient process in the world right now. It's using memory which is faster than the DDR4 currently used by the competition. It's a big.LITTLE design, which is more power efficient, because you get strong single thread performance from the big cores and higher efficiency on threaded code from the little cores.

It's not magic. It's engineering.
https://en.wikipedia.org/wiki/Standard_cell
IIRC iPhone did well on SMT solver benchmarks as well.
10 PRINT doesn't seem to be working for me

> 10 PRINT CHR$(205.5+RND(1)); : GOTO 10
I had been using Google Chrome for ages and permanently tried various extensions and other browser projects.

Only Sidekick managed to become a new default browser for me due to its incredible speed and UX.
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Nintendo has, since the Wii, shied away from bleeding-edge or custom components, preferring to use cheaper, proven tech that they can more easily maintain but is still strong enough for their needs. Just look at the Switch -- it uses the Tegra X1 in a device that launched in March of 2017, despite the X2 having been available for more than a year.

Apple, on the other hand, has been running rings around Qualcomm and other ARM vendors for a while now, and sharing tech makes it all the more important that they continue to be competitive.
As far, I understand it, the M1 is just very fast with single core, multi core not so much. I guess Intel and AMD focused on multi core performance, and did not mind much about electric power. AMD also pushed primary multi core performance, even most people never need it. We never really heard from Intel, oh what a wonderful low power notebook processor. Also test magazines and youtubers made primary performance benchmarks. Finally the said .. yeah, maybe they need a bit much power, but this processor is super fast, so still 100 points .. nobody asked for a such processor until now.
> Why do proteins fold the way they do?

I think the why is pretty clearly understood (https://en.wikipedia.org/wiki/Protein_folding), in the same way that we understand the mechanism behind the three body problem in physics or quantum computing. But that does necessarily imply that there is an efficient way for us to simulate/predict the results of having nature play out those mechanisms.
Why? So far the reviews I've read have found no evidence of thermal throttling. It is so power efficient it doesn't need a large heat sink to run at peak speed.
Yeah, it was, but I think the argument that the vaccine is a safer option for this crowd is also a pretty persuasive argument.

I'm not exactly in this crowd (I'm 43) but given what I now know about the prevalence of scary long term covid-19 issues ("long haulers") in young people, I would take this vaccine in a heart beat "even" if I were young.
What is "long covid"?

People experiencing long term symptoms?
I can believe that, my tinnitus after covid-19 is still there, even if I don't notice it as much.

Actual viral infection?
I really doubt that, thoug perhaps it could hide like the herpes virus.
How can i do that?
It's one level of abstraction above the transistor level; in other words gates and sets of gates. Designing at the raw transistor level is tedious, time-consuming, and requires specialized knowledge of low-level electrical and physics characteristics. When you design with standard cells, you only have to think about the logic functionality.

https://en.wikipedia.org/wiki/Standard_cell

The parent's question is about whether Apple really did do some of the designing at the transistor level by designing their own cells, rather than using a standard library. This could give them an edge that ordinary users of the standard library wouldn't have.
Apple left the mini (and the Pro!) to rot for quite a while. I figured nobody bought those unless they were truly desperate or wanted a CI solution.
True, that is a big issue. You can only really go to the web instead.
Just as an example: one gal asked about my living situation, with regards to roommates. I was forthright about it, gave a little "what can you do?" shrug. I was a little startled as her vocal tone immediately changed to a mocking one as she delivered a "Awww, widdle at_a_remove wivves with his Mooo-mmy!" and then sneered. (Note that this person would describe herself as kind, liberal, thoughtful, and so on)

Similarly, if less vituperatively, some simply announce "I could never date a guy who lives with his mother!" immediately after, although I had not offered a date.

It is sometimes a struggle to be pleasant in these situations. I sometimes do want to ask if they would like to be abandoned by their children if they were older and fell upon hard times, but I restrain myself.
> You seem to have missed that the point was that they denied benefits to US citizens, merely because someone else in the household did not have a SSN.

The tax code--not just for this purpose, but pretty much all purposes--treats households filing a joint return as a single economic unit.

> But regarding actual illegal immigrants, it's amazing how many people complain about "giving" benefits to immigrants while apparently being completely unaware (or conveniently forgetting) that a significant fraction (perhaps even a majority) of those immigrants actually pay taxes.

Those taxes don't come close to paying for the benefits they use--such as cross-subsidized emergency healthcare, schooling, etc.
I'm also curious. Phoronix added clash/GHC compiler benchmarks which is relevant to my interests.
I was just trying to understand if you could share some of that reporting? I wasn't able to find anything very specific.
> I've read about random number algorithms that mix the results of many randomness sources so that one compromised source cannot compromise the result.

You might like djb's article "Entropy Attacks!": https://blog.cr.yp.to/20140205-entropy.html
???

Don't rely on a video to get across a simple message. Make sure the basics of who, why, what, and where are answered with plain text and simple language.

Honestly, I just sat and scratched my head when I looked at that site.

Perhaps a banner that says, "Support the XYZ Foundation by buying a PHP elephant for $$$" would make a lot more sense.
Satoshi is likely Paul Le Roux. Let’s hope not. He’s managed to waste more of our time, money and brainpower than anyone in recent memory.

Either way my point remains that Bitcoin solves nothing other than making criminals wealthy.

Time will tell.
Nope, I can't stand RSS readers that have a Twitter timeline interface!! I'd rather have the ability to display one single feed, than all feeds at once.
The number of times WSJ opinions alone have declared California dead is probably 20+.

Where I first heard the idea that CA will collapse because "everyone is moving to NV to avoid CA taxes" was the WSJ...thirty years ago. I see that CA is still there, and far more populated than it was 30 years ago. A stopped clock might be right twice a day, but I'll be dead before the WSJ (or anyone) finally strikes gold with their "everyone is leaving CA" prediction.
For a topic like protein folding, it should be
Apple is throwing money at the problem. IC size is directly proportional to cost.

They couldn't sell a chip like this at a cost-competitive price on the open market against AMD/Intel products.
I think it is a _little bit_ off to just consider Slack to be a chat app. Sure chat is the core function...One thing I find super valuable about Slack is that it is a searchable archive. When a new person joins a company, they have literally years and years worth of searchable content. This helps get up to speed, cuts down on time spent asking questions etc. I find myself searching Slack many times a day pretty much every day at work. Not to mention automated workflows, calendar, drive integration etc.
Previously (2018):
https://news.ycombinator.com/item?id=16978913

Previously (2009):
https://twitter.com/selfrefer/status/3128391843
https://twitter.com/spoonhenge/status/2878871344
https://news.ycombinator.com/item?id=743144

(last 2 were self-referential at the time, but then twitter changed the rules for linking; I recalled seeing these at the time)