skysight-inc/HackerNews huggingface dataset:
Author here: Sorry for the confusing formatting on the task descriptions at the end of the paper. That "4" is the human-generated target completion, not a model generated completion. I'm not sure whether the model got that particular question correct, but from Table 3.7 that GPT-3 has 36.5% accuracy on DROP in the few-shot setting.

Many other readers were confused by this so we'll update the formatting to say "target completion" to make this more clear.
There's plenty of YC Companies that have changed their idea during YC, or pivoted completely during the program (I think Daniel Gross pivoted twice?)

I think YC expects most companies to modify what they are doing during the program.

But all of these things are very different to taking someone on board with no idea at all.
> lower the third by one step to obtain a minor triad

But it's lowered by a half step...
Rust doesn't try to be a C replacement. It's a great C++ replacement, for big performance-critical projects: Mozilla Firefox code was written in C++, not in C.
Vert.X is a relatively light layer on top of Netty and it is quite nice to work with.

Spring WebFlux is also built on top of Netty, and missing some benchmarks, but I have no reason to think it would perform poorly. Its very easy to use for anyone with Spring experience.

The fastest frameworks are all nonblocking, like Express. They use streaming and reactive patterns, if it wasn't for Java's types everywhere some people wouldn't be able to tell the difference between Vert.X using RxJava and Express. The main design difference is that JS does non-blocking on a single core vs Java which does thread-per-core. Basically, in Java you can scale out non-blocking across all cores and still share memory when you want to.

If you don't want to deal with thread safety and non-blocking DropWizard performs quite well using traditional threads.

Just saying, performance and easy of use are not always exclusive. Maybe Vert.X didn't exist back when you were using Netty but these days it would be unthinkable to use Netty itself, the abstraction Vert.X provides is far easier to use and you don't really lose any performance.

Java's bad performance reputation is 90% due to old versions of Spring. Spring Boot has come a huge way, with performance maybe 100X better than Spring 4. Spring WebFlux takes this even farther with a Vert.X-like api, probably reaching near-Netty performance
I hated this at first but at work when we moved to wfh we started using gitlabs time tracking features on all tickets. At first I felt like it made me rush everything to hit the estimated times and lost quality but after a few weeks I just ignore the estimated time and do it as fast as possible without sacrificing any quality. No one actively checks the time or cares if you go over as long as there is some extra quality to show for it but someone might question the fact that you spent hours on a very simple bit of work which keeps me on topic because I want to have something to point to to show where those hours went.
At that point you can just get chromebook.
What is the rationale behind this? '==' works all the time, and 'is' only works sometimes. Using 'is' wherever possible requires the user to know some rather arbitrary language details (which objects are singletons and which are not), wheras '==' will always give the correct answer regardless.
no regrets here (lead Dev at small company, 50ish employees) using for roughly 50% of the projects.

6 years ago we were fully Java, clojure allows us to mix the two without a business killing rewrite.

I've never had any problems training people on it.
Considering how verbose the current UX of Redux is, this needs to be merged into mainline React. Are there any significant performance overhead? This is a really great library, the ergonomics look amazing and the documentation is just gorgeous.
If we're all throwing spaghetti at the wall here, what do I know, but maybe create an android-sdk OS that one may boot into and is heavily optimized for (speedy) android development?
If them being put out causes you trouble, may be best to take them, then send the follow up email requiring the confirmation.

Humans need handling.
But most other projects on there do that as well. I regard tech empower as the maximum performance I can get with a given framework if need be.
With actin I can add Askama, with Vapor, there's no way to make it faster.

As a side note, Ramshorn is even faster than Askama and does not need compiled templates:
https://github.com/maciejhirsz/ramhorns
And if you forget to pay your monthly nanobot bill, they shut you off...
Always worked remotely, never had a problem with promotions, ymmv
Another means: have really high standards. It’ll make you better at spotting when something ought to be easier to accomplish. You’ll instinctively feel irritated by the fact that it isn’t.
I moved 5 timezones east. Used to start at 10a. Now I start at 3p.
From the first post in the series:

> We now use the so called equal temperament system...

Unless I'm playing a piano, no, I don't. And since I have an electric piano, I have been known to set it to meantone, but I accept that I'm a freak.

Even on a guitar you have a fair amount of variation in pitch based on pressure and position of the left hand fingers relative to the fret. Not as much as on old instruments with gut frets, but it's there.
I tried to google it. And two passages. The common point is "high-efficiency, built-in virtualization solution, as well as its ability to support massive enterprise-class workloads without requiring the type of massive infrastructure that you would need to do the same using x86 chips"

Power supports virtualization from chip level which looks excellent. But heard little that company would like to transfer to power from x86.
user can't buy stuff and one unfortunate developer will hunt the bug that charged someone with negative credit.
you learnt what everyone else was learning, so now you're competing with everyone else on their level.

learning something more niche can be a signal that helps you stand out, even if it's not what you use at your next job.

having said that, networking with people is the number one contributor to finding a great job.
The problem with editorializing is that this would remove Twitter's liability protection as a platform. When Twitter starts editorializing, they're taking the stance of a publisher, and they become liable for everything they didn't editorialize.

The protection afforded to them right now, as a platform, means they (Twitter) cannot be sued for defamation (as an example) when they fail to moderate claiming (as an example) that Hillary Clinton is a pedophile. Editorializing would remove this protection.
I would consider myself an extrovert and hanging out with friends does not tire me. But people in the office are not really friends and we are not hanging out. I have found myself with a lot more energy working from home since when I'm really starting to feel tired I can run a few laps of the house and do some pushups and I feel energised again.
Thats an amazing benchmark. Though you have to fiddle with the concurrency parameter to see that some of the slowness is caused by scaling.
ppc is still a thing, my project computer is a power9. The only reason it isn't my daily driver is because I can't help but tinker with it. Being able to rewrite the supervisor chip code in order to get that fan curve just so, and having the support of unabridged and NDA free documentation - instead of grinding through reverse engineering... feels good. I highly recommend it, just stick to known working GPUs, the mmu actually does its job.
Stop reading my mind /s
TIL. It looks like a drawback we should point out.
I am not a fan of this trend of "Language Models Are X" in recent work particularly out of OpenAI. I think it's a rhetorical sleight of hand which hurts the discourse.

Like, the exact same paper could have instead been titled "Few-Shot Learning with a Large-Scale Language Model" or similar. But instead there seems to be this extremely strong desire to see certain ineffable qualities in neural networks. Like, it's a language model. It does language modeling. Turns out you can use it for few-shot learning and do amazingly well. Beyond that, what does it mean to say it "is" a few-shot learner?

On one hand, it's literally the same claim in a strict sense. On the other hand, it implies something much broader and more sweeping, that language modeling / unsupervised learning as a task over long contexts inherently implies meta-learning ability — which is a statement that is very difficult to properly formulate, let alone back up. But that's the argument that I feel is being slipped under the table by these titles. (And indeed it's very close to what they suggest in the text, though with no more than a wave of the hands.)

Don't get me wrong: their intuition is reasonable, it's super cool that they got this to work, and the results are very impressive on lots of tasks (though there are clear gaps). But as a VERY publicly watched lab, they have a serious duty (which I think they're neglecting) to frame their results more carefully. In particular, there's a sort of religion that if you train a big enough model on big enough data with self-supervision, it will somehow become AGI and/or learn to solve arbitrary problems. Claims like "Language Models are Few-Shot Learners" are clearly designed to fit into that worldview, even though the research doesn't point at it any more than a more conservative interpretation like "Lots of NLP Tasks are Learned in the Course of Language Modeling and can be Queried by Example." They touch on this limitation in their discussion section but I guess flashy titles are more important. I wish they would use their status to set a better example.
I don't know if it says something about text generation or human text processing, but whenever I read an example of computer generated text, all through I think "I can't tell this is machine generated, it seems completely natural," and the only giveaway is that at the end I have no idea what it said.

It's a pretty eerie feeling. It's as though both the AI and my short-term processing only pay attention to a context of a few sentences, so nothing seems off until I try to understand it as a whole.

EDIT: Thinking more, what it feels like most of all is reading a page of a book and not taking it in.
Depends on your language use - hrs talking in terms of semitones throughout the article, so thats correct; you're thinking in terms of whole /half steps (so you would be correct if the article was written in those terms).

I think talking in semitones helps clear up any misunderstanding over the explicit intervals present in a chord (and I've found that very useful when talking to guitar pupils who only know guitar and want to understand theory, particularly because the guitar neck is made of semitones), but if someone knows more scale theory (or plays piano), then talking in scale steps makes more sense.
You could use a couple microseconds on the server to inline CSS to match the HTTP U-A; assuming whatever you needed to know is still in there by the grace of Google whenever they slush up the U-A strings.
Good Reasons to Create a Startup in Pandemic Times
Magic Leap CEO Rony Abovitz is stepping down
If you're more into web design than math, check out that spartan HTML ... it's pre-Geocities, if that's possible.

Didn't know that the title element would render fine even inside body!
Bad Reasons to Create a Startup–Especially in Pandemic Times
I have not had any issues with this. I do not have work email or IM on my phone. I work the same hours as I did in the office. At the end of the day I close my laptop and put it to the side.
Thank you friend! Should have provided some context ;)
- Linux Kernel TLS support

Is this referring to kernel TLS offload (using linux kernel's TLS connection ooffload infrastrucuture)?
It's not because siesta, that's mostly a legend. In Spain lunch is a big meal, the biggest of the day. Add to that the children going home and coming back to school .
Say you're a consultant and you thought the best way to make a client happy was delivering a great product even if it's late and over budget.

If your subordinate thinks the best way to make a client happy is to always deliver on time and budget even if they have to cut a bunch of corners and deliver a buggy product, are you still going to be happy about that?

Are you going to stil be happy with his decision when you have to justify to the client and your boss why it was a good decision to release a buggy version early than a more polished version late? Despite the fact that if you were put in that exact same situation you would have made the opposite choice.

There are plenty of other examples too. You both believe that company goals are driven by great effective teams. You believe effective teams are born out of great morale and shared goal. He believes effective teams are the sum of their parts. There is someone that isn't pulling their weight. You would mentor them because they're always upbeat and positive and it'd be crushing to morale to fire this person. Your subordinate fires them because he believes he's slowing down the team.
It just did about 10 days ago - https://github.com/SergioBenitez/Rocket/issues/19#issuecomme...
Are you exaggerating? Or were they really brushing more than 3 times a day?

Brushing obsessively and brushing hard will strip enamel that's been softened by acids. Brushing right after a meal can lead to damage because the enamel hasn't remineralized.
I thought the same thing. Might make for a nice James Bond movie, complete with a love scene interrupted by a rabid swarm of flies.
mktotext ()
{
pandoc --standalone --from markdown --to html -o - $1 | /usr/bin/w3m -dump -T text/html | ${PAGER:-less}
}

Tune to preferred utilities. Invoking a console browser directly on the HTML rather than dumping ASCII is another option.
What is our strategy, really?
Now that Guido is no longer BDFL nor on the Steering Committee, it doesn’t really matter what he thinks.

But, it’s still unlikely that we’ll see full anonymous functions in Python. They just don’t work with its significant-indentation syntax.
Another hierarchical note-taking tool slash knowledge base, though a bit more limited/opinionated and proprietary, is https://roamresearch.com/.
Interesting.. I have just the opposite experience. Instapaper sends a weekly epub with my articles to my Kindle. More ofter than not, technical articles (i.e. math, code, many images) do not get converted well, to the point of making some of them completely unreadable.
How to Rewrite Your Code to Achieve More Flexible Design
Hypertext on IBM systems is no surprise - the precursor to SGML, on which HTML is based, was introduced on z/OS aka MVS, and to this date is available as SCRIPT/VS on IBM mainframes. Though IBM sold off their printer business over a decade ago and discontinued AFP printing so customers (insurers, banks) went looking for alternatives. The telephone-book sized AIX documentation in printed form was also excellent; I guess (but I'm not sure) it was produced using Iddoc or DITA (also SGML-based cross-publishing tools by IBM).
> Theoretically, the digests are supposed to be unique for every file, message, or other input fed into the function

Given that the digests are shorter than the messages they are meant to identify, this is not at all a "theoretical" possibility (you can prove this with a "pigeonhole" proof).
Nice article and have to agree:

> Go for B2B if you can. Freelancers aren't rich.

Even if freelancers have money they seem to spend less.
Absolutely - if Ed and Bruno were more prevalent, no doubt. But look at the actual Hot100. It's just not that, it's very dominated by unlistenable stuff.
I imagine it must be terrifying to be a commercial property owner while people are on the verge of working out they don't need your service.
Thanks for clarifying. I'm a bit more confused though, are you saying that all of these Q&A examples are human answered, and that you were just demonstrating the format / question types for Q&A? If so, is there any way to see some of the model's responses?

Thank you.
Buy and hold
8 months ago they started using an exploit reported and fixed 11 months ago?
Seoul and Hong Kong have a similar population to New York City and last I checked had 4 deaths compared to New York's 15,000.

The problem was bad leadership, not density. If you care about health, life expectancy in NYC is significantly above the US average.
Actually the YC startup school says you should not pay for customers initially. Paid ads come to a later stage.
You got the eating pattern a bit wrong; 9-10pm they are just leaving home to eat out; at least in Andalusia
But given the frets are placed to divide the length of the string in a specific place, you're aiming to play equal temperament, right? You're using that system on a typical guitar, even if the sounds don't match exactly.

Of course it's not going to be perfect, but it's still closer to 12TET-with-noise than some specific mediaeval tuning.
I actually think something was merged on Rust recently that allows Rocket to be on stable now. I don't have a link but I read it. I think 0.5 is supposed to be async, still on nightly, and after that they want to switch to stable.
Some cathedrals took centuries to complete, but mostly because of long gaps in active work due to lack of funds or interest.

Furthermore cathedrals were often build iteratively - e.g. someone finances a new tower to add to an existing centuries old building.
When you say you have 25 million records per day, taking 25 GB of disk space, can you clarify what you mean by that?

Does each day of 25 million records take 25GB of disk space? Or are you saying that it cumulatively takes 25 GB up until now?

1 million records per GB would indicate a really, really large record.
https://web.dev/samesite-cookies-explained/

https://auth0.com/blog/browser-behavior-changes-what-develop...
Real neurons have many other trainable parameters and a lot more computational structure, so this is of course a simplifying assumption, but it is not entirely baseless either as it is known ANNs can approximate any function in theory, which may suggest synaptic weights do the heavy lifting in biological brains (since what more than general do you need?).

Though biological brains are likely overly complicated due to evolutionary baggage. There are hydrocephalus cases which have much reduced brain matter, but still high IQ.[1] The recurrent laryngeal nerves in giraffes is about 4.6 metres (15 ft) because it goes up and down their neck as it could not be rewired more directly during evolution.[2] Our pristine mathematical models and low-noise computational environments are likely superior to evolved wetware hacks.

[1] https://www.newscientist.com/article/dn12301-man-with-tiny-b...

[2] https://upload.wikimedia.org/wikipedia/commons/thumb/7/7e/Gi...
Are you sure you aren't discussing lisp here? :)
Neat idea. I didn't know it was taboo to be open to new offers, I assumed everyone was open to new offers. Feedback: what's the $ figure? If I were listed here I doubt I'd want to have a dollar amount by my name. As an employer, I might want to click one of the tags to see all people with that tag.
Twitter's opinions posted next to others still belong to Twitter though. Of course they're liable for the things they say directly.

Section 230 is specifically about removing liability for content they aren't directly responsible for. If you don't want Twitter to have control over their what you post on their platform the only reasonable solution is post elsewhere.
Nowadays these rooms would be staffed by brocoders in t shirts where once it was scientists in lab coats go figure
That's what happens when you optimise music for sales and maximum listeners, rather than artistic freedom and expression.

Chart music isn't created by individuals or bands, , it's created by an army of creative workers in the background. There's an entire industry that is dedicated to creating bland, mass marketable songs. It's the musical equivalent of McDonalds, technically good (i.e. well produced to a specification), consistent, and popular within the largest demographic possible. It's the lowest common denominator, music for people who don't like music.

It's all formulaic garbage, and it doesn't pretend to be anything but. Most pop songs are written by the same handful of songwriters, Max Martin has written 23 Billboard chart topping songs for other artists. You don't even get bands any more, solo singers are easier to work with, and the backing track can be created entirely with DAW software by a team of professionals, no need to deal with fickle band members and a recording studio, the singer barely even sings, we've got autotune for that. Pop music is created by an army of faceless creatives with the pop star nothing more than a figurehead.

That said, I have nothing against pop music, it fits a purpose and most people enjoy it. Nobody forces me to listen to it, so I don't. Just like I don't criticise McDonalds burgers for being tasteless and bland compared to the non-franchise, locally owned burger bar down the road.
Haven't done it in years but I always kept a bit of an interest in it. No idea how it'll affect me after more than 10 years.
Websites have been doing this for .. 20 years?

Web developers have been trying to move away from that paradigm in order to make sites faster, more reliable, and smaller for almost as long.
Gene drive the entire human population? Are you serious? Moreover, that doesn't really help the people today.
Having a 1.5yo, one of the unexpected joys has been seeing how their consumable options increase based on teeth being acquired.
Ah, of course.

Also, it looks like that’s the name that Swift uses.
I still think its fair to say we use the equal temperment system. It is a widely accepted standard. You're right, fret pressure alone can absolutely raise the pitch 5/10 cents, my Gibson SG has some deep frets and can do double that.

I am surprised with all of the technology and VSTs we have now no one really uses self adjusting Just intonation or challenges A 440. Musical / mathematical / technical ability are a rare trinary intersection. It saddens me that no one is really trying to push the envelope of acoustic instruments or even new ways of producting digital sound. It's the same old Square and Saw waves with the same instruments we have had for hundreds of years. Sadly i think musicianship has all but died in Gen Z, quantization / pitch correction / take splicing / overuse of compression are rampant, and every popular artist is basically as fake as Milli Vanilli. Protools has raised a generation of lazy and uncreative musicians with awful rhythm. Get off my lawn! Ok i'm done.
The natural programmer's schedule is around 30 hours so it constantly slips relative to the day cycle.
It’s a learned cultural association. People who have not been exposed to Western music don’t even distinguish consonance from dissonance.

https://pubmed.ncbi.nlm.nih.gov/27409816/
As anecdote I don't run the emulator since years, as I am not going to buy a last generation PC to keep running it at average speeds.

On all my PCs it is faster to build to device than having to deal with the emulator competing with Android Studio for hardware resources.

Not everyone has Google level budgets for hardware.
>AWS IoT Greengrass makes it easy to perform machine learning inference locally on devices
This has nothing whatsoever to do with science. You made no hypothesis rather based the “postulate” off the lower bound of your observation over a very small sample set.

Imagine this, write a C program where you write x million functions where each simply returns a single number (ie three_million = return 3000000) etc. then the codebase contains as many lines as you can imagine and up to int overflow (or use bignumber lib) and 0% of your bugs are related to memory safeness.
I know there’s a lot of this, but what is the angle? Who is running the bot farms to click on Facebook ads and sign up for random services? And what are they hoping to achieve?
AT&T Archives: The UNIX Operating System (Video)