skysight-inc/HackerNews huggingface dataset:
> provide bug reports that actually describe what's happening

Doesn’t matter if the bug reports are good or bad. Supporting low volume applications is a bad business move when the alternative is 9-figure data center contracts.

The data center business is orders of magnitude larger. Trying to support individual developers would be a huge business mistake when they already can’t keep up with data center.
On my tests on an AMD Zen 3 (a 5900X), I have determined that with SMT disabled, the best performance is with N+1 threads, where N is the number of cores.

On the other hand, with SMT enabled, the best performance has been obtained with 2N threads, where N is the same as above, i.e. with the same number of threads as supported in hardware.

For example, on a 12C/24T 5900X, it is best to use "make -j13" if SMT is disabled, but "make -j24" if SMT is enabled.

For software project compilation, enabling SMT is always a win, which is not always the case for other applications, i.e. for those where the execution time is dominated by optimized loops.

Similarly, I expect that for the older Meteor Lake, Raptor Lake and Alder Lake CPUs the best compilation speed is achieved with 2 x #P + #E threads, even if this should improve the compilation time by only something like 10% over that achieved with #P + #E threads. At least the published compilation benchmarks are consistent with this expectation.

EDIT:
I see from your other posting that you have used a notation that has confused me, i.e. that by #P you have meant the number of SMT threads that can be executed on P cores, not the number of P cores.

Therefore what I have written as 2 x #P + #E is the same as what you have written as #P + #E.

So your results are the same with what I have obtained on AMD CPUs. With SMT enabled, the optimal number of threads is the total number of threads supported by the CPU, where the SMT cores support multiple threads.

Only with SMT disabled an extra thread over the number of cores becomes beneficial.

The reason for this difference in behavior is that with SMT disabled, any thread that is stalled by waiting for I/O leaves a CPU core idle, slowing the progress. With SMT enabled, when any thread is stalled, the threads are redistributed to balance the workload and no core remains idle. Only 1 of the P cores runs a thread instead of 2, which reduces its throughput by only a few percent. Avoiding this small loss in throughput by running an extra thread does not provide enough additional performance to compensate the additional overhead caused by an extra thread.
You have to be more specific with that question. The "traditional" NLP has by now been killed twice: first by classical machine learning (which significantly reduced the need for linguists), and now by deep learning (which has all but eliminated it). So "traditional" NLP was killed back in late 00s. You can't kill that which is not alive, so it follows that LLMs have not, in fact, killed traditional NLP.
A big fuck you to rssDaemon on Android which came out with a 3.x to 4.0 update that nuked all my feeds (this was a few years ago. I switched to Feedly and it's been great.
Damn, I was half hoping it was doing some deepfake face swapping rather than just totally replacing the whole image. Part of me would love to install a "Being John Malkovich" style face replacement plugin onto someone's machine.
reminiscent of https://news.ycombinator.com/item?id=9224
For stuff like path tracing you have to work very hard not to trash the caches, so you're often just waiting for memory.

That's why such workloads gets a near linear scaling when using hyper-threads, unlike workloads like LLMs which are memory bandwidth bound.
> A disclosure on the website selling the tokens says that CIC Digital and its affiliates own 80 percent of the supply of the new Trump tokens that will be released gradually over the coming three years and that they will be paid “trading revenue” as the tokens are sold.

80% of a current pump market cap of $28 billion ain’t too shabby.

https://coinmarketcap.com/currencies/official-trump/
It wouldn't take care of anything, it would just expose people who need anonymity to unnecessary danger.
In addition to aggressively unsubscribing, I keep two simple filters that prevent emails from getting to my inbox:

- Only the inbox triggers email notifications, so I get very few (mostly from real people)

- The "unsubscribe" filter catches most non-important emails

- The "boring sender" filter catches about 20% more non-important emails

It takes a few seconds to scan the subjects of the non-important emails, then mark them as all as read with two keypresses.

More details: https://blog.leftium.com/2023/11/automatic-inbox-cleanup-wit...
> any task any humans can do

That doesn’t seem accurate, even if you limit it to mental tasks. For example, do we expect an AGI to be able to meditate, or to mentally introspect itself like a human, or to describe its inner qualia, in order to constitute an AGI?

Another thought: The way human perform tasks is affected by involuntary aspects of the respective individual mind, in a way that the involuntariness is relevant (for example being repulsed by something, or something not crossing one’s mind). If it is involuntary for the AGI as well, then it can’t perform tasks in all the different ways that different humans would. And if it isn’t involuntary for the AGI, can it really reproduce the way (all the ways) individual humans would perform a task? To put it more concretely: For every individual, there is probably a task that they can’t perform (with a specific outcome) that however another individual can perform. If the same is true for an AGI, then by your definition it isn’t an AGI because it can’t perform all tasks. On the other hand, if we assume it can perform all tasks, then it would be unlike any individual human, which raises the question of whether this is (a) possible, and (b) conceptually coherent to begin with.
I strongly recommend Elements of Physics by Millikan and Gale for anyone who wants to learn pre-quantum physics this way.
Click the bell also adds many undesirable to me notifications like push notifications or email notifications.

What I want from subscriptions is basically a filtered list I pull from when going to youtube. With maybe some tiering so the people who upload once a year don't get lost in amongst the people who upload 2+ times a day
Sort of suggested by the article. The article mentions putting information up, so that bikers will not be surprised.
Hmmm. Given the state of your code we would also need to incorporate a VS Code Veterinary Hospital and I’m not sure you can afford the insurance premiums.
Yes. ExecStart works the same for all the cases. ExecStop works differently though. While ExecStart is the event to kick off the command for the service, ExecStop is not. The asymmetric semantics are where the confusion comes from.
You are speaking of legality, not terminology.

The terminology is universal, as it is simply for talking about What People Are Doing, not What The Law Says.

Many people will—and do, and this is why I'm taking pains to point it out—confuse and conflate CSAM and child pornography, and also the terminology and the law. That doesn't change anything about what I've said.

Fundamentally, there are two basic reasons we outlaw or otherwise vilify these things:

1) Because the creation of CSAM involves the actual sexual abuse of actual children, which causes actual harm.

2) Because we think that child pornography is icky.

Only the former has a basis in fundamental and universal principles. The latter is, effectively, attempting to police a thoughtcrime. Lots of places do attempt to police thoughtcrime, in various different ways (though they rarely think of it as such); that does not change the fact that this is what they are doing.
It's weird that everyone and their mum "could" clone twitter easily. And yet the only products of note that's more than dismissive hackernews comments/slideware with something in production at similar scale was meta with threads and that's still inferior in terms of search and discoverability and scaffolded with the guts of Instagram and bluesky which has the advantage of being founded by Jack Dorsey and has been around for years now. For all the big talk musk et al have I'm not sure they could actually have built a clone. You can pay influencers but if we look at how dominant tiktok is/was making buzz and content is more of an outcome of a bunch of incentivisations and the kind of non technical community management stuff people dismiss as marketing than throwing money at all the big names you can find.
The article I'm quoting gives a range.

Larger for small storage, and longer term. Smaller for others.
It would actually be way to miss. If it hadn’t been marked with a sunglasses emblem, I would have easily thought it was just a gusset. It’s just one of the bottom front corners of the left side of the shirt, with a triangular gusset that is big enough to just hold 2/3 of a pair of glasses, mesh, in this particular case.
They’re not building their own data center - they’re doing what lots of companies have been doing for years ( including where I work , and I specialize in hpc so this is all fairly standard ), which is buying space and power in a dc, and installing boxes in there. Yes, it’s possible to get it wrong. It is however not the same as building a DC …
eSheep was my favorite. Apparently someone is keeping the dream alive: https://apps.microsoft.com/detail/9mx2v0tqt6rm?hl=en-US&gl=U...
[obviously I know nothing about the state of your code which I am sure is very good and so this should simply be understood as me being ‘amusingly’ mean!]
Why would you compare a game framework to wasm?
My inspiration at learning TurboPascal and writing my first little games was this game! How cool. Very fun to see it again! Thanks.
The drones in the hive are her brothers. She needs more gentic diversity, so she goes out to mate with other colonies' drones. Her attendants know where to go find them because they've scouted them before.
I've heard this reasoning multiple times, but that doesn't make it right. Like you said, you ARE presuming something: That scripting and a (useless) base case are the most common usage.

How many people script Git? More importantly, how often do you change that script? Rarely, and rarely. That means it's FAR FAR less work for the scripter to look up the weird incantations to remove the "human" parts (like a quiet flag).

Conversely, the human is far more likely to write git commands impromptu, and I dare say, this is the FAR FAR more common use case.

That means Git (and a lot of these kinds of commands) optimize for the RARE choice that happens infrequently over the common case that happens often. That's horrible design.

TL;DR: Just because there's a consistent design philosophy behind obtuse linux commands does not make a good, helpful, useful, modern, or simple philosophy. If a library author wrote code this way, we'd all realize how horrible that design is.
Indeed a single thread is most simple to reason about, but if you have a single task that can already use 2 cores uniformly, going to 8 cores (assuming enough workload) should be a pretty clean 4x speedup (as long as you don't run into memory bandwidth limits, but that'd cap the single-threaded code too).

But the performance difference between E-core and P-core perf is way less than 4x; the OP article shows a 1.6x/1.7x difference in SPEC for skymont vs lion cove, and 1.3x/1.7x for crestmont vs redwood code; and some searching around for past generations gives numbers around 1.4x.

Increasing core counts being a much more area- and energy-efficient way for hardware to provide more total performance than making the individual cores faster is a pretty fundamental thing.
I've been shipping a Flutter app that uses it for months. Pretty heavy stuff, its doing everything from LLM inference to model inference to maintaining a vector store and indexeddb in your browser.

Frame latency feels like it's gone, there's 100% a significant decrease in perceived latency.

I did have a frustrating performance issues with 3rd party code doing "source code parsing" via RegEx, thought it was either the library or Flutters fault, but from the article content, sounds like it was WASM GC. (saw a ton of time spent converting objects from JS<->WASM on a 50 KLOC file)

From that perspective, the article sounds a bit maximalist in its claims, but only from my perspective.

I think if you read "real time graphics" as "3d game" it gives a better understanding of where it's at, my anecdata aside.
Also, approximately every feed reader supports both, so you only really need one (once upon a time, sites used to offer 2-3 feeds for different rss standards)
One datapoint: we were using NLP to translate natural language instructions into an executable form that could drive our product. It was part of a product we sold to enterprises.

We've completely replaced that with LLMs. We still use our own DNNs for certain tasks, but not for NLP.
Because WebAssembly brings every game framework to the web.
Yes, there is this too.
China probes US chip subsidies over 'harm' to Chinese mature node chipmakers
Stopping as a result of the process exiting or requested the service to stop are two very different things. Systemd overloads the term ExecStop for different semantics, relying on different property settings. That's where the confusion comes from.
What features? Only updates I ever hear is various security features getting disabled/going dead and various tech demos getting checked out/failing.
I tried, but found it very confusing around the user session. Apparently an environment variable need to point to a started dbus.
I can't get consistent results over local session vs ssh vs su vs sudo
Actually my complaint was about using IaaS as a hobbyist, but sure.
WASM nowadays has become quite the monstrosity compared to NaCl/PNaCl. Just look at this WASM GC spaghetti, trying to compile a GC'd language but hooking it up V8/JavaScriptCore's GC, while upholding a strict security model... That sounds like it won't cause any problems whatsoever!

Sometimes I wonder if the industry would have been better off with NaCl as a standard. Old, mature tooling would by and large still be applicable (it's still your ordinary x86/ARM machine code) instead of the nascent and buggy ecosystem we have now. I don't know why, but the JS folks just keep reinventing everything all the time.
Those are wise safety procedures, not that's not sterile compounding. EVERYTHING needs to be sterile. The needles used for mixing, the air in the room, the hood you're mixing it in, everything. The room or hood has to be in positive pressure, and the ampule needs to be at a partial vacuum.

What you're describing is a adequate for immediate use. Not use and storage.

Wiping the bottle before use is just standard practice to prevent contamination after compounding.
DSLs that Fit in your Head
I needed a new car in 2015. A difficult decision for me, since basically every manufacturer sells cars that have four wheels and an engine, and I wasn't sure what I wanted / needed beyond that.

A friend had bought a used Prius and loved it, so I did some research and decided it would be a good choice. Thus I ended up with a car that has four wheels and two engines.

(It only has around 48K miles, have replaced brakes once and regular battery twice, otherwise no problems. And routinely get at least 40mpg.)
For anime connoisseurs there is Desktop Mate, suprisingly easy to mod and use your own (or found in the Internet) character models

https://store.steampowered.com/app/3301060/Desktop_Mate/
Instead of filling NFL game broadcasts with absurd amounts of graphics overlaid on camera footage, we could go the opposite direction and show minimalist renderings of live NFL games. Revolutionary.
A significant chunk of the crowd here is very anti-car (to varying degrees), so I wouldn’t expect much sympathy if you’re the type of person that enjoys driving. I’d cut your losses in trying to argue your point…and go enjoy driving your car!

As somewhat of an old timer (turning 43), I remember the techie population seemed to overlap a lot with the car enthusiast population a long time ago. Nearly everyone at my first job (small startup) was a car nerd. A lot of engineering and tech goes into cars after all.

Somewhere along the way a lot of techies became very anti-car.
It's the same hardware running the same software. You want the bug reports so you can fix them and then your data center customers don't encounter them when they're evaluating your product.

What they can keep up with is basically a matter of how much capacity they order from TSMC. If they underestimated demand for some generation, that's the sort of thing you fix with the next contract or you're just throwing money away.
My potential aws account manager told me I was stupid, and that if I listened carefully to him, I would understand he was right and I was wrong.

I’m quite happy I’m not using aws - in my case (hpc, spot instances don’t work ) they don’t work.
Several approaches are better than the break even point today, including the Google demonstration of error correction working to reduce logical errors: https://www.nature.com/articles/s41586-024-08449-y

There’s more citations to gate fidelity progress here: https://metriq.info/Task/38
Saving the planet is not in the corporate charter, sorry.
Memo to Trump: Develop specific AI guidelines for nuclear command and control
Portal flow brings it all together
Perhaps this is closer to Vanguard's ownership model, i.e. that Vanguard is an investment management company that is owned by its funds' shareholders?

I definitely think there is a way to make this viable at small scale in a tech/SaaS context. But to survive and grow to larger scale, I think you basically have to ensure your business following this model is not "too profitable" or else someone will want to crush and replace you, and hoard the profits for themselves.

It's kind of forgotten about now, but it's a bit of a minor miracle that Vanguard's unusual structure survived the early days, then grew to become an investing behemoth. I suppose the reason nobody tried to kill Vanguard to steal their customers is because the business model was pretty boring and profits were unsexy enough that others just let them do their thing (I mean, low cost index funds, and the boring type of customers attracted to them? Talk about a ceiling on profits, compared to what a more adventurous fund manager could make elsewhere selling a typical 2-and-20 deal to greedier customers...).
Do you mean Flash?
> I was never brave enough to attempt it, however during my time beekeeping I was amazed at how magical smoke was. Picking up handfuls of bees in their hive and not being swarmed feels like a super power.

I'm not brave enough to attempt it either, except -maybe, someday- with a) smoke, b) a veil instead of a suit, c) nukes rather than mature hives, d) in top-bar hive bodies rather than Langstroth boxes. Fuck Langstroth boxes -- you can't help but kill bees in those boxes, and the moment you kill one you're in trouble. Top-bar hives make it much much easier to not kill any bees.
Balance of Power Shifts Back Toward Bosses
Thank you so much for sharing your experience and your research in the other comment. I understand that it's just a hypothesis, but I had almost given up and believed that this is just how life is now. I went to the ER for heart palpitations and told the doctors to check electrolyte levels and they flat out refused and discharged me. Between this and the potential renal issues, I at least have another avenue to try to address the underlying problem.

I'll try the potassium supplements and report back. Around how much are you supplementing each day? People shy away from potassium supplementation because it can cause heart palpitations, but I already have those, similar to yours, and RDA of potassium is over 3000mg, so it's only up from here :) Thanks again.
Except you don't need an LLM to do any of this, and it's already computationally cheaper. If you don't know the results you want, you should figure that out first, instead of asking a Markov chain to do it.
The difference with AMD and Intel when zen launched is that AMD launched a product that utterly destroyed Intel’s line up in productivity workloads. Zen 1 launched with double the cores of the competing intel chip at the same price point. The benchmarks were a bloodbath and intel struggled to respond with a competitive product for 4 years. Arguably they still haven’t caught up. AMD just brutally out executed Intel.

Doing that to nvidia would be a tall order
If you missed the best at the bottom, it turns out that Tennis Australia does VC investing too now:

> Tennis Australia has funded several startups through its venture capital fund as it looks to push into the technology space, including a failed flirtation with non-fungible tokens (NFTs) that concluded last year.

> The fund, AO Ventures, is worth US$30 million (A$41.8 million) and includes support from Tesla chair Robyn Denholm’s Wollemi Capital Group (which also has investments in the NBL and the Sydney Kings), as well as Art Gallery of NSW chair Mark Nelson and Packer confidante Ashok Jacob.
This helps, I am less confused now.

What happens if I set my handle on my selfhosted PDS as "alsoKnownAs: [evbogue.com]" and leave my handle at Bluesky PBC's PDS as "alsoKnownAs: [evbogue.com]".
Terms of art aren't not English just because they're inscrutable to non-experts.
His children were much better than me at drawing, that’s for sure
They also have their own uses depending in the case scenario so it depends on what someone is working with. NLP in some cases like advanced marketing can still have great benefit without an LLM and AIs in general are streamlining certain "speed of information processing" tasks but still struggle with complex "systems thinking".

FYI - If anyone doesn't know the difference between the two or has no idea what NLP or an LLM is, this has a good breakdown: https://medium.com/@melindaboone80722/nlp-vs-llm-b339abdc651...
That's actually a good thing. That's how you get a ton of DRAM without it costing a fortune. M2 Ultra is able to get GPU-like 800GB/sec with DDR4. From that it follows that if you can design a specialized chip, you can get a respectable 1 TB/sec quite easily with LPDDR5, provided that you're willing to design a chip to support a ton of memory channels (and potentially also a wider memory bus). In fact, I'm baffled that such devices don't already exist outside Apple's product line. Seems like a rather obvious thing to do, and Apple has a "proof of concept" already. I can think of at least four companies off the top of my head that could do it quite easily, besides Apple.
Right now, it's a good time to do this from a regulatory standpoint, because the incoming administration should be much less hostile to crypto and blockchain projects.
Running arbitrary LLM output isn't (yet) seen as the terrible idea it is. Give it a few years.
I think the easiest way depends on your background knowledge. If you understand linearity of the Gaussian distribution and the Bayesian posterior of Gaussians, the Kalman filter is almost trivial.

For (1D) we get the prior from the linear prediction X'1 = X0*a + b, for which mean(X'1) = mean(X0)*a + b and var(X'1) = var(X0)*a^2, where a and b give the assumed dynamics.

The posterior for Gaussians is the precision weighted mean of the prior and the observation: X1 = (1 - K)*X'1 + Y*K, where the weighting K = (1/var(X'1))/(1/var(X'1) + 1/var(Y)), with Y being the Gaussian observation.

Iterating this gives the Kalman filter. Generalizing this to multiple dimensions is straightforward given the linearity of multidimensional Gaussians.

This is how (after I understood it) it makes it really simple to me, but things like linearity of (multidimensional) Gaussians and the posterior of Gaussians as such probably are not.
My understanding is that the barbs in the stingers don't get stuck in insects, but I don't know if that's a fact. At any rate the queen is sometimes irreplaceable, so she needs every survival advantage possible.
psychoanalyze-pinhead