skysight-inc/HackerNews huggingface dataset:
You are indeed right. I had understood that actual preemptive threads had been added, but it seems that for now it is still cooperative and requires explicit yields.

Note that elisp has lexical scoping now, but it will be years of course before all packages will have been updated (and for many things you still want dynamic scoping).
PRFs, PRPs and other fantastic things
What happens when half of the IPFS network is down?
It'd do everyone a favour if people stopped regurgitating this. I have had ChatGPT 3.5 ask me to elaborate, and ChatGPT4 does it when there is ambiguity.
I would argue it's not the engineers that need to do something, rather middle management that needs to show 'results' and show that they are there to bring 'value', even if it's not real value. I seriously doubt changes like moving fingerprint sensor under the screen come out from an individual contributor.
Google seems to be appallingly bad at any non ad supported product. They've managed to screw up all their ISP products (Google Public WiFi, Fiber, Loon, etc.)
Now the home automation products.
The company has no culture of customer service, which dooms any product which requires it.

I just hope they don't screw up self driving cars, where they're actually succeeding.
Oh, I remember that one, too! I think it's time for a modern revamp.
off-by-one errors?
> © copyright 2023

> Meeting Swipe

> Worldwide Corporation

Here's me wondering what that's even supposed to mean.
> [opinions]

In this context, the important take away is acknowledging and incorporating the idea that the larger gun control movement didn’t start with semi-autos and it doesn’t end there.

Anyone who has been involved in this arena for enough time, or otherwise sufficiently familiar with the history of the gun control inclination, is incredulous listening to someone say, “we only want this one thing.”[1] It’s a non-starter.

[1] https://ifunny.co/picture/illustrated-guide-to-gun-control-w...
It is a nice second opinion source, for sure.
I think there is a balance where you have to be careful here - this same logic can bring you to a place where you never do team days, team building, all hands meetings, customer visits, client meetings etc which are activities which can be difficult to justify objectively on an individual basis but incredibly worthwhile from a soft perspective.
That's true, and those options are also awful options we used in the 90's and promptly abandoned once better options became available, though they wouldn't make that much difference here. The alternatives are all brittle and limited in different ways.
I agree. Maybe the same variations between chimps and bonobos are exhibited between humans. So some of us are more like chimps, while others more like bonobos. Ancient Greeks said that "In peace, we are the best of the animals, in war, we are the worst".
> Job levels are tied to the amount of business value one provides.

The other replies have told you already this broadly isn't true, so I will ask this: Do you have an example of a company where what I quoted is the truth? Normally promotions are almost entirely political, I'd love to see some examples (or even one) where this isn't the case.
You no longer draw 3 lines as GUI, nor do you have like a 100 pixels on a screen.
Don't get me wrong, the system is not perfect and I'm sure it failed many people. It's just the comparison as stated in the original comment that's made up.
Well, NeXTstep could multitask in 8MB of RAM. And do it well in 16MB.
Alfie – a general purpose teleop robot
Not to be pedantic, but it’s not really aware is it? Seems like it is logic gating it.
Squeezing millions of documents in 128 TB of virtual memory
>There is nothing wrong in making a mistake, but if you ever make the same mistake twice, you probably won’t be here the next year.

Some companies will accrete rules after every mistake until it is impossible to do anything.

>For example, when Kodak failed to acquire Xerox when it could have ...

I don't think it has ever made sense to buy Xerox, as an investment their record has been dismal.

>Kodak is currently in a precarious position, because it did not press the development of digital photography.

Except Kodak was a pioneer in digital photography. Their problem wasn't that they let the transition sail by. It was that they didn't recognise that they were a chemicals company rather than imaging.
I think you have to visit https://github.com/search, type a query (use /.../ for a regex, and repo:... to filter by repo), then click "Code" in the left navigation bar (and sign in). The search box on project pages appears to use the old search.
Raw vs. JPG
But the European discovery of the New World had thousands of aspects besides the genocide of the native population. Omitting those and viewing the entire, incredibly complex and multifaceted, process through a single lens isn't "facts" but propaganda.

On the other hand, historical "science" has always been primarily a vehicle for propaganda, and there is no reason to expect that it would be any different in our times. So I guess this book is simply par for the course.
My issue / problem is that it doesn't feel like there's much job opportunities for "true mastery"; a lot of places are fluid and will do big rearchs every couple of years.

Or maybe I'm biased for having worked in consultancy for ages and mainly being involved in said big rearchs. That said, I can't fathom working on the same thing for a decade. I tried in my last job, but after two and a half years of slow progress (I was my own product owner and the company didn't want to hire anyone else... or they did, it's just that they went onto Monsterboard and the like to find staff).
Glad it came up again. I missed it the first time. I am a complex systems scientist and its hard to overstate the importance of this.

The fact that there are reasonable metrics that make the emergence completely predictable as a simple threshold effect is massive.

One alternative way to phrase this that I haven't seen in either thread yet (but I am on mobile and haven't looked thoroughly) would be: Human observers/users dramatically underestimate how much small language models already have learned, because we are very good at spotting the errors. Scaling up looks like emergence occurs because the last few errors get eliminated.
"I was there, Gandalf, 3000 years ago" comes to my lips; and, yeah, it really kind of feels like 3000 years ago now.
I would have tore them off the first time they went off in a false alarm.
The EU's stance is primarily about e-waste, and secondarily about lower costs through competition. Having one standard does a good job of achieving both; lower costs through economies of scale, and less waste because when you get a new phone you don't need to replace all your accessories. It's not perfect but it is better than the alternatives.

Having one gate keeper (for example "Made for iPhone" USDx per device / cable) profiting off this isn't good and isn't conscionable from a public policy perspective; it would amount to a private benefit imposed tax.
There are definitely historical records that claim that Columbus was unusually bad even for his time, like the works of Bartolomé de las Casas.
Do you mind sharing why are you learning cantonese?
The Bretton Woods are calling and want their policies back.
I've been working on a rewrite of the server into Rust, for kicks: https://github.com/rdaum/moor

Unfortunately still lots of work there to be done, and I have no time.

(But it does load and compile an entire core to opcodes, accept connections, and do its best effort at scheduling and executing verbs. Just doesn't get far enough to present anything like a running MOO yet)
There’s an extensive push to get an international legal basis on this. See https://en.wikipedia.org/wiki/Ecocide .
You get it. I will not be surprised at all if the move to React never happened, and everything is still on angular8 one year from now. So why hire me in the fast place? Because they think they can just hire and then fire someone on a whim? If I don't do something about this, they will do it to someone else.
Japanese has a lot of “hint” on word (nouns) ending. And they use “full stop” plus one space to end a sentence as comma is not really needed in most cases. This is unlike chinese.
Leaking user data (or "anonymising" it and then selling it) doesn't alienate a corporate userbase, because corporations broadly do not care at all that user data gets leaked. Unless it materially affects their income, this is something that is ignored.
About: ChatGPT LinkedIn Email Generator
ChatGPT LinkedIn Email Generator is a chrome extension that quickly creates a tailored email to a business prospect from their LinkedIn profile page. Its purpose is to increase your email response rate and help you sell more effectively.

The generated email includes a summary of the sender's (you) product, addresses possible recipients' objections and KPIs, and includes a clear call to action. The tool also considers the recipient's title and experience level. It adjusts the level of jargon to make the email easy to understand, positive and engaging.
I wrote a long thought out reply about the absurdity of this statement, only to realize its purpose and facepalm myself. Good one!
What cache invalidation? There's just cache expiration, that's occasionally not respecting the specs.
Sure, but that wasn't the question. The question was an "ever" one with no restrictions. So... I answered it.
I haven't seen anywhere mentioning any toxicity to the spice. Everywhere i looked no side effects. That costs too much money for me anyway, to eat a lot of it, and i guess for most people. A millionaire who values his brain too much, may try it. Someone like PG or Marc Andersen.

[edit]I would love to see PG coming back, programming a new Common Lisp by hand, and writing a 1000 page manual just by himself, if he gets a supercharged brain. GPT and Artificial intelligence will be left back in the dust.
+1, we use it and love it.

Cube is “headless BI”, which means you still have your own widgets at the front lend, and existing DB at the backend, and Cube sits in the middle helping you combine/filter/group/stat across your tables and other data sources.
> There is a world in which generative AI, as a powerful predictive research tool and a performer of tedious tasks, could indeed be marshalled to benefit humanity, other species and our shared home. But for that to happen, these technologies would need to be deployed inside a vastly different economic and social order than our own, one that had as its purpose the meeting of human needs and the protection of the planetary systems that support all life.

Unfortunate but that comment seems to be quite on point.
Well sort of. Server Sent Events is basically "official long polling" and it works very well. Way simpler than websockets in many cases. Websockets is obviously better here though.
Installing a Nest learning thermostat in the summer was ... illuminating.

Turns out they only learn for the first few weeks. After three calls with tech support, we reset it enough times that it learned how to turn on the heat by 11am on weekdays.

Perhaps someday someone will have the patience to try and get auto-learning working on the weekends too.
Large-scale industrialized slavery as introduced by Europeans was a new thing, though, outside of perhaps the Aztecs (if you look at the whole mass sacrifices thing as an 'industry').
I'd appreciate it if you could elaborate on where your trust for Kagi comes from? I'm baffled that an ex-GoDaddy employee reselling Bing search results at a premium, with a history of "attracting customers at one price, then increasing the price substantially" (I won't use the legal term, as IANAL), who flags HN posts bringing these facts to the public's attention, has generated so much enthusiasm here. Maybe I missed something?
Goes to show how being easy to understand and change is important for a project's success
No need of test and I knew nothing. But I can be sure we hk Cantonese know and immediately hear if the other speak in canton or Malaysia Cantonese very quickly.
Pretty irrelevant exchange, ranked 50 for spot volume
This is seriously messing up with my head. What is wrong with the response?

The following generated by GPT4 seems reasonable to me

Based on the given information, we can use logical reasoning to determine if it rained today. The statement "If it rains today, I will drive home" can be represented as:

Rains → Drive Home

However, you mentioned that you did not drive home, which means the second part of the statement is false:

¬Drive Home

In this case, we cannot definitively conclude whether it rained today or not. It is possible that it did not rain, or it rained, but you chose another mode of transportation for some reason.
Of course! You are right! It will always worth to maintain dark patterns :/
What's going on on that level? I don't see anything to change to make it faster. Any hints?
If we switch out LLMs for LZMA algorithms your reasoning still makes sense. Which is a real problem with your reasoning.
Aren't those FOSS?
Reminds me, I had to once set up lighthouse scans for thousands of sites and the only way to do this fast enough was to run the tests concurrently on a single machine. But the test results also depended on cpu load of thr machine running the tests, so we had to sample cpu load live and adjust a multiplier in the lighthouse tests to handle this so that lighthouse would not think it is the site that is being slow. I understand it’s a complex tool, but I wish lighthouse results with the cli were more reproducible!
No one's in any danger!
Master the Art of Note-Taking with Tiago Forte's Second Brain Method
Learn about SPI communication in microcontrollers and its use in connecting peripherals using the i.MX8M Plus Evaluation Kit. Discover the benefits of master-slave mode communication and get a step-by-step guide to implementing M-core SPI communication.
I mostly agree. My DNS mentor, whose job was basically a DNS industry expert, was fired without cause one day, and it always left a bad taste in my mouth.

That said, while I've always considered myself a generalist, being the 'DNS guy' has proven invaluable in my experience. People treat you like some kind of wizard.

I guess I've come to the conclusion that it's likely best to be a generalist with a few really deep specialist qualities.
It's not good at reasoning. I asked the following (the term substitutions are there to avoid parroting):

Let's define the following terms:
col means "and", pel means "or" and erf is equivalent to "col" if the first argument evaluates to "true", otherwise it's equivalent to "pel"

can you evaluate the following statement?
col(true, pel(false, true), erf(col(true, false), true))

And it said this:

...
Next, we look at the expression "erf(col(true, false), true)". Since the first argument is true, erf is equivalent to col, which means we evaluate the entire expression as:

col(true, false) = false

Therefore,

erf(col(true, false), true) = col(true, true) = true

which is obviously wrong because the first arg is false. The final answer happens to be the same. So I then asked

what about col(true, pel(false, true), erf(col(true, false), false))

and this is its full answer:

Sure, let's evaluate the expression "col(true, pel(false, true), erf(col(true, false), false))" step by step:

First, we look at the expression "pel(false, true)". This is an "or" operation, so we evaluate it as follows:

pel(false, true) = true

Next, we look at the expression "erf(col(true, false), false)". Since the first argument is true, erf is equivalent to col, which means we evaluate the entire expression as:

col(true, false) = false

Therefore,

erf(col(true, false), false) = pel(false, false) = false

Finally, we look at the expression "col(true, pel(false, true), erf(col(true, false), false))". Using the results from steps 1 and 2, we can evaluate this as:

col(true, true, false) = true

Therefore, the overall value of the statement "col(true, pel(false, true), erf(col(true, false), false))" is true.

You can see it's mostly random nonsense masked as "reasoning". It's not even consistent across sentences. I assume if you do a bigger model, it might do better, but as soon as you increase the example size I suspect it will get it wrong again.
Thank you, my friend. A year from now I'll be happy I dodged a bullet, and I still have to do something about this injustice I'm feeling now.
10% is being exceptionally generous I think. Anecdotally I've never heard of a single manager getting a crap how your PDF was produced, and a lot of the hiring and recruiting agencies will probably end up snapping the data out of your PDF and converting it to some standardized format, so the Latex will be completely rendered out.

To me this feels like a case of a publisher passing on a novel because the author wrote it using notepad.exe versus vim.
This looks pretty cool, but can't seem to find it for sale anywhere in Sweden.

Also, I would prefer a slightly sleeker form factor, similar to the G-shock in the OP, something that the Instinct is closer to.

Some of the G-shock designs are pretty ridiculous in my eyes. Way too much excess form without apparent function or benefit.
Take a popular song, change the rhythm and timing and wait if you get a copyright claim.
It's like using a CLI where the argument structure is inconsistent and there is no way to list commands and their arguments in a practical way.
Only chink in that theory is rapamycin doesn't seem to have anti-aging effects per-se, rather a wide array of systemic effects, some beneficial to longevity in special circumstances. In the general case, you definitely won't be extending lifespan of the elderly by modulating down their immune system or promoting amyloid formations.

There is definitely "real" randomness, DNA replication errors are truly random because they are caused by quantum molecular effects. You can characterize them statistically and reduce their incidence, for example by controlling the diet or shielding the body from UV, but you can't measure those causes, only observe their effects. At best you could correct them, starting from a known-good-copy, as indeed cell biology already does.
On your screenshot I can only see the fonts aren't quite sharp, the rainbow effect is probably from your display trying to render these subpixel differences.
I care that my devs are solving problems effectively and not creating further or future problems. Their tools are their choice. You dodged a bullet. Consider letting others know via glassdoor.
I think it is more fundamental than that. Emergence always disappears when we slice phenomena thinly. A person walking through a doorway is a very continuous phenomenon. We can see their relation to the doorway at each point. There is no abrupt change. But when we stand back and apply the criterion: "is the person through the door (y/n?)" we end up with an answer. When it is yes, we can say that the passage is an emergent effect of the motion. At one moment it wasn't there, and at another it was.
It's too late, it's out there now.

It's just a matter of time before we see a HN Launch for a startup that's going to disrupt the medical industry with LLM.
How is it unreasonable to want you to not host someone's code on one explicit other platform?

We already established no one is forcing you and if you don't respect the author you don't get to be respected for your decision to ignore them and will earn snarky remarks. (and rightfully so, in my opinion)
There are some good reasons to (as a matter of policy) not lie.

IMHO it's better to cast around for the best possible honest framing of the issue.
Then you should is a different solver that fills your needs.
WaterLily is an incompressible flow solver that works in non-dimensional units (assuming constant unit density). So you can change the viscosity of the fluid by modifying the Reynolds number (with set a set characteristic velocity and length scale).
LLMs are exposed to exactly the same information that doctors are. If the system starts with llama, it will get all the biases that exist on the internet as well. See the recent examples of chatgpt refusing to accept a judge can be a woman. Or the "come up with punishment given variables race and sex" questions.

There's no good reason yet to expect that the 75% would receive better diagnosis from from the AI.
The example shows a user swiping left on Happy Hour drinks at 8pm?
All work and no play, something something.
The reality is that 90% of Google product dysfunction can be explained by the phrase: "shipping the org chart" not by any particular $$-related malice.

Inter-product-area rivalries/competitions/dysfunctions. Product manager attention span problems. High ego, high-status engineers with nice new technological hammers (e.g. Flutter, Fuchsia, Dart) that absolutely need to find nails, so go take other people's projects to rewrite.

Working in Home / Nest PA was very trying on the patience. They were bad for it, but the problem is endemic to anything user-facing at Google (see also Play Music vs YouTube Music, ChromeOS vs Android, Android Things, etc. etc.)
Sherlock Holmes (and Miss Marple, Hercule Poirot and others) are the polar opposite of a "modern cop novel":

> The criminals in classic crime novels generally have motives and make plans and think everything through in advance. The crime fighters in those books, on the other hand, generally solve every case. Wambaugh’s cops are faced with a starker reality. They are patrolmen. They don’t investigate murders.

But this dichotomy is visible in most crime literature/media until today. For example, the "Law & Order" franchise (https://en.wikipedia.org/wiki/Law_%26_Order_(franchise)) is mostly police procedural, but in the "Criminal Intent" spin-off they went back to classic "detective stories".
> A question would be if creating and training Copilot is "improving the Service over time". I would suspect that it would be, though.

Definitely an interesting case to be had, but I'd argue that it does not. They're using their customers' code to create an entirely new product that would not be possible without it, not just improving their ability to host a Git repo. Otherwise, what standard is beyond "improving the service over time?" Can they do anything with the code they host as long as it improves their service? What about sell bootleg copies of it and use the proceeds to upgrade their servers?
Fun! Got a rickroll and red background, but anything more complex didn't happen. Then Heroku crashed.
From your second paragraph here, I understand you were somewhat critical of the management at this company?
Which should be obvious from the fact that there's so many companies seeking out LaTeX experts. Oh wait...
> “But Riehl and Rubin’s point, they say, is not actually to obtain legally sound copyrights, but to illustrate that there are a finite number of ways to combine notes to create pop melodies, and these combinations existed before any songwriter actually put them to paper. All of these melodies can be generated and represented mathematically, suggesting that writing the melody for a pop song is, in some ways, a lot like selecting and portraying a pre-existing—and non-copyrightable—mathematical fact.”

Some deep concepts right there. Would the same thing apply to any sequence of things? The AACS cryptographic key? The words in a book? Is there some breakpoint in number of permutations where human creativity and memorable history allow for copyright?
Code as Self-Serve Experience
I'm really curious why the answers are so verbose. Probably because the training was done on a lot of blog spam?