skysight-inc/HackerNews huggingface dataset:
I distrust those activities. I feel it is sometimes an IP grab by the company, which wants to give its staff fewer reasons to leave and start new (competing or not) companies. Once an idea is recorded and time stamped internally, it is effectively dead for use by anyone leaving the company. Or at least has an elevated risk. You don’t even have to be the one who submitted the idea to end up being hung up by the fact that your previous day job can claim a stake (even a weak one due to not having acted) in all these related ideas.
There is actually a show on the Discovery Channel called Dino Hunters which is about people who make their living finding and selling dinosaur bones. Presumably your dream is possible, assuming you have access to a good deal of private land in Montana and a lot of time to throw at the problem.
Windows CE is in a lot of things. The Coke freestyle machines are CE running on ancient overtaxed hardware hence the poor touch response.
The iPhone Outlook app had more functionality and was more stable than WinPho 7 Outlook, I just couldn’t believe it.
The Rush to Abandon Leadership Role on the Virus
Neither of your examples are trading life for money
This is really nice. Key points:

- Parse the program like an IDE would, but expose the data in an open queryable database format (both line and unlike a language server).

- Use Datalog for storing the facts and inferring new facts about data.

(A fun fact: the Datalog implementation they use is written in Haskell and generates programs in Rust.)
Well, it is trained on web content. Often I read an article and it's obvious they're either stretching it out to hit a word count, or trying to get as many google-able phrases in as they can. Some sites are worse than others, with the more no-name ones the worst offenders.
This is illustrated in Neil Degrasse Tyson’s Cosmos on Disney+ for those interested
Never thought of myself as a drug dealer...
Disposable isn’t the main issue.

The problem is upstream.

Why haven’t they invented good biodegradeable plastics yet?

It’s not like there is a plastics lobby telling everyone not to switch to biodegradeable plastics like there is with smart guns because of the NJ law...
For those who have trouble with the link:

http://archive.is/UqhMf
It is not doing photogrammetry and it works on a single image. It has learned what people look like (and training may have used photogrammetry in some way) and it can imagine a good 3D model from even a single image. The last line of the abstract:

“We demonstrate that our approach significantly outperforms existing state-of-the-art techniques on single image human shape reconstruction by fully leveraging 1k-resolution input images.”
https://outline.com/dcktcF
It indeed does a lot of things really well.

I’ve been asking famous authors and personalities questions about their life and work. Responses are actually quite good. Check some samples here: https://twitter.com/paraschopra/status/1284423233047900161?s...
Shall we?

http://www.ycombinator.com/apply/
Happy UX, According to the Designer of Lumines
I'll qualify my critique in that it depends on how the class leverages Coursera. I've taken five classes on Coursera two of which were through the UIUC program (procrastinating a type inferencer assignment as I write this).

There are a handful of things Coursera gets right:
Videos.Playback works. I generally download them all immediately regardless.

Progress tracking. Easy confirmation of what I've done already.

There are several problems it fails to solve:

Course Communication. There's a discussion form. It's not used. These are supplemented with other means of communication depending on the course that all need to be checked (email, Piazza, Slack, dedicated forum, etc.)

Live Events. Typically these are links to a Zoom instance with all the attendant difficulties.

Integration. Instructors often want to use outside tools for automated graders and the like. Coursera has tools to integrate authentication to make this first class, but it often means learning the idiosyncrasies for a new tool for every class. Generally, the integration is slightly broken in some way requiring some irritating workaround.

Quiz/Testing platform. Difficult for instructors to get right. This results in things like never seeing the correct answers to a final because view rules aren't well understood by the instructor or free-form answers being too picky.

Proctoring. Coursera doesn't have a solve for this. Remote proctoring is generally garbage and easily the most frustrating experience for me. UIUC uses ProctorU which I despise, but that's another rabbit hole.

Content Navigation. It's based on a week-by-week view. This can give a false impression of progress. This can make navigating between thematically similar content in week 4 and week 5 difficult.

In most instances, I would prefer an index page that mimics the the syllabus with links to the content and discussion forum.

As for the MCS it's been a good investment thus far. I've taken two classes, Data Mining and Programming Languages & Compilers. Like most things, you get out of it what you put into it. It would be possible for me to learn most of this on my own but the long term motivation wouldn't be there. This is especially helpful for formalism I struggle to learn on my own. Most of the classes have a project component which allows a significant amount of depth.

I'm taking Computational Photography this coming term which I'm excited to lose my weekends to. https://courses.engr.illinois.edu/cs445/sp2020/
It's not a problem if thats all you'll ever do with that piece of real estate. The tradeoff is future flexibility.
I’m surprised to learn how much effort it takes to make good cookies. One of my selections on this website required a preparation time of two and a half hours. I’ve always just thrown ingredients into a mixing bowl.
I would say it comes in cheaper as the pinecube is fully standalone device. Where you would still have to buy the pie on top of the camera.
But we’re not done yet. Give it time. We can go in plenty of directions. Just because you don’t think the current direction is right, that doesn’t rule out other directions happening. And who’s to say this stuff won’t end up being somehow useful? There’s a great talk on how trying to make progress toward an objective in evolutionary algorithms is not a good way to get there.

https://www.youtube.com/watch?v=dXQPL9GooyI

Of course evolutionary algorithms are just one direction as well. But that doesn’t mean that nothing else is happening.
Those aren't cargo pants, these (https://www.amazon.com/OCHENTA-Cotton-Military-Pockets-Trous...) are cargo pants.
So I am building a farm robot, and for various reasons I think having a 3D reconstruction of the plants would be useful. I’m hoping that this technique might be useful for reconstructing models of plants from a small number of images. The model doesn’t need to be perfect, just close. I think this will help in doing reinforcement learning on simulated data, among other things.

Great research coming out of Facebook Reality Labs!
Okay, you both made a mistake then. Your mistake does not lessen Cisco’s mistake.
“Cool” new support / ticketing systems for early startups?
Looking for something lighter, unbundled features compared to Zendesk, Intercom, Front, etc. Thanks!
Shoot me an email (check profile), I used to live in Saudi and know plenty of agro as well.
Thank you for your thoughtful comment. I appreciate it, ferzul.

I 100% agree that personal data has unfortunately found its way into a transaction in which it should not belong. I respect the fact that you push back on this point, though I do find "treat them like hostiles" as an extreme position. Other entities offer transactions that I find abhorrent, and I simply just refuse to interact with them.

If paying for physical media (be it movies or newspapers or anything else) with "coins" is still valuable to you, I encourage you to continue to practice that behavior, and encourage others as well. It is still mostly possible in many cases.

> ...Google actively requires you to trust them... ... I shouldn't have to trust corporations.

Regarding YouTube, you can still interact with them in a trustless environment. Browse in incognito mode in a non-Google browser. Google gets to show an ad to an anonymous user and you get to watch a video. End of transaction.
And all the vendor compilers had their own different bugs and such while GCC was GCC.
No. The "pop" is part of the cost of the IPO, but SPACs are more expensive than an IPO.

If your thinking is "IPOs are good, but too expensive; what if there's a big pop I miss out on?", then you would never want to consider a SPAC. If your thinking is "IPOs are good and the pop is fine, but there's too much risk of the deal falling apart", then you might consider a SPAC instead.
Fantastic work! Datalog/Prolog are old-yet-futuristic technologies that I wished every developer knew about, as it solves a lot of problems in very elegant ways (as attested to by this post).

I noticed you (assuming you're the author) used what looks like a non-traditional Datalog syntax – which makes sense to me as, IMO, Datalog/Prolog desperately need first-class support for a record-like syntax to finally break into mainstream. Is there any prior work to this syntax, or did you just develop it as you needed it?
A SPAC gives more certainty but less money. An IPO gives more money but less certainty.

Most of the criticism of IPOs has been over their cost, and a SPAC is strictly worse.

So...no. SPACs have been (and will continue to be) relatively popular in times of high volatility where their lower risk is worth their higher price, but in general, nobody is clamoring for an IPO replacement that gives even more money to financial intermediaries.
I wasn't asked to be co-pilot, but I flew on Cape Air which is a small airline based around, you guessed it, Cape Cod (well, mostly connecting small airports in MA, ME, NH, VT, etc to Boston Logan).

It was a 6 (maybe 8) seater and one of the seats is next to the pilot in the co-pilot seat, which I was lucky enough to get.

Landed in a snowstorm which was a bit nerve wracking as I got total spatial disorientation with the light reflecting off the snow passing the windshield.
Presumably no way that's cheaper than just getting it from shipwrecks. Doesn't seem like there's a huge demand, so old shipwrecks for the time being have enough supply.
My perspective is a bit different. I have thousands and thousands of ideas. I can never meaningfully act on most of them.

So why not turn them into a couple hundred bucks for a page or two of writing?

I have some ideas I quietly research and do not reveal that I may want to turn into a startup one day, but those are just a few of all of them.

For example, my winning capstone project idea during my banking internship was in the mental health space. I have won other prizes in the professional mental health space as well. My interest in ever being in that space beyond ideation is 0 so I am not giving away anything that has other value to me.
Thank you for a blog, very much enjoyed reading it!

By any chance do you know how Graphcore generates beautiful graph plots ? (seems like this are graph plots)

link: https://www.graphcore.ai/hs-fs/hubfs/Graphcore%20open%20sour...
Your second paragraph is GPT-3?
For some reason (probably due to QEMU), these kinds of bootloader tutorials are still stuck in the BIOS era. UEFI remains completely under-taught, which is probably in part because it's hideously complex.

Note that modern computers are supposed to be dropping BIOS boot support this year[1].

[1] https://arstechnica.com/gadgets/2017/11/intel-to-kill-off-th...
What a great way to debottleneck fake news farms, that somehow were throttled by humans. Anyone else wonders how, or if, democracies will overcome mass produced disinformation ?
Perhaps mount an external directory and extract all artifacts to it as a zipfile at the end of the build.

https://access.redhat.com/documentation/en-us/red_hat_enterp...
It’s actually about AI which is distinct from intelligence.

>6 orders of magnitude less input

That is utterly mistaken.

We have the input of millions of generations of evolution which have shaped our brains and given us a lot of instinctive knowledge that we do not need to learn from environmental input that happens during our lifetime.

Instead it was learned over the course of billions of years, during the lifetimes of other organisms that preceded us.

Our brain structure was developed and tuned by all these inputs to have some built in pretrained models. That’s what instincts are. Billions of years in the making. Millions, at the very least, if you want to restrict it to recent primates, although doing so is nonsensical.
Humidifiers?
There's an (also non-exclusive) argument that it's a fair price for the risk that IPO buyers are taking. IPOs do "fail" sometimes, so the pop isn't as great a risk-adjusted return as it looks.
AI Generated Article
They didn't know it was the bottom. It could have been the new normal. However, to me that would imply retiring 4 years later and not 10. One they market turned around retirement was back...
Huh. I worked in fly the last 5 years and I’ve not noticed this (we work next to a worm lab). Fly are pretty low on the model species list (human, rat, mouse, fish), and with cell lines experimenting on human cells is becoming more prevalent. Fly researchers know they aren’t at the top and seem quite pleasant to work with. Still with orthologous gene mapping working with fly genetics still has lots of uses.
I can still vividly remember posting in the Something Awful thread for this event on the day that it happened. I can't believe it's been sixteen years! I was fourteen. Holy shit I feel old.
Serious question: what does (will?) GPT-3 (or GPT-2/BERT) produce if provided with the STOP token (end of sentence/period).

I want to know if there is any interesting investigation happening on the creativity by these models in a sort of “tabula rasa” spirit (if it makes sense)
"Some X are Y" does not imply "all X is Y"; I held the former while you infer I hold the latter.
Yeah, okay. That was easy.
I worked remotely, very few hours per day, and nobody knew how few hours I worked because I was still the person they gave all the hard problems to and ripped through all my tasks quickly.

But any innovations put forward were rejected through political games played by non remote employees. On some meta level I was fine with that because while they saw those as petty wins I was living a life of freedom working less than half the day.

Since then I realized the same level of freedom could be had with people who care to leverage innovation instead of striving to fight it. Life was very good, now it's great.
>If someone drives a billion dollars of incremental value then why not pay them $25 million

LOL, You are lucky if your managers did not take credits of everything you achieved.
If you're ever near Death Valley, the tiny town of Shoshone has an awesome (and free) town museum with some surprising local fossils, including local camel tracks.
Airbridge: A calendar app for people, not companies (beta)
"In practice corporations are designed to be extremely disposable."

Opposite - they are designed to be incumbent.

Once a product sticks, companies become 'operational' and not 'dynamic' which is to say they excel at customer, product, regulatory, lobbying, scale, RFPs, branding, little features that satisfy a range of customers. Everything done 'just well enough' but otherwise the entity has not reason to innovate.

Innovation is just a pile of risk to the system, when in fact, the 'incumbent corporation' is a 'cog' in that system so there's no reason to change it.

Not only is there little incentive to change, there is 'anti incentive' in many cases.

Also - innovators are really hard to identify, and that thing may not be part of the job anyhow. There are all kinds of creative innovators, with many kinds of specialisation, the Zoom case I'm not sure is very exemplary anyhow.
> Google IPOed with a dutch auction. I have absolutely no idea why other companies trying to "cut bankers out of the process" don't follow suit.

It didn't seem to save them any money. The bids they got all clustered tightly together, the advisory fees they ended up paying were pretty much the same. And economic theory suggests that a Dutch auction gets you worse prices than a conventional auction. All told it didn't go particularly well for Google.

I think it's more likely we'll see more companies doing Spotify/Slack-style direct listings (covid notwithstanding) - those seem to have worked out well enough, and have the potential to cut a bunch of fees out of the process.
You seem to have gotten your replies mixed up. This looks like it's for the GPT "Bitcoin" thread?
Building Companies in Times of Change
In a lot of big companies, there is always a huge distrust in the management.

Seems to be true even cases like Google and Microsoft.
It's essentially impossible to buy a consumer TV that's not "smart" these days. There are commercial TV's/monitors, but those are both expensive and also typically not focused on image quality.

Best solution is to "air gap" your TV by not connecting it your wifi or ethernet.
Don't forget some old ATM machines still use CE.

Even older ATM machines use OS/2 Warp.
It's possible you were the addict rather than the dealer. :(

What's the easiest way of keeping you at the company rather than going to innovate somewhere else? Make it as easy as possible for you to get your next "hit" of innovation dopamine.

(I'm being cynical - this isn't necessarily what your employer was doing, but it could have been.)
Unfortunately "its just geography" is kind of one of the talking points for not really addressing the problem. Although true, concerted reductions in pollution have happened when there was political will to make it happen (mostly through the federal gov. / EPA clean air regulations).

Ogden and Provo are some of the worst offenders for per household air pollution emissions. Like many western cities they have longish commutes (everywhere) in large cars (trucks / suv's) with a high number of cars / household and almost non-functional public transport system. For the Salt Lake Metro area, per capita carbon emissions doubled between 1980 and 2015 because of increasing sprawl. Air regulations here are spotty for personal vehicles and I'm guessing almost non-existent for commercial vehicles. Oh and the state governments solution to this is to push a publicly subsidized "inland port" that will bring increased truck and rail traffic to the valley. The leaders of these tech companies are starting to point out that terrible air pollution for parts of the year is hurting recruitment so it seems like as the money flows into this sector maybe there will be political will on the state and local side to address some of these issues.
Conditions are certainly technically fascinating. I was introduced to them back when Rust used them for I/O error handling. But Rust ~0.8 dropped conditions, because people found them much more confusing than Result<T, E>-based error handling, and almost no one was actually using any of the power of conditions.

Broadly speaking, conditions can be implemented as a library feature, so you can reintroduce such things in cases where the extra functionality is compelling (though now users won’t be familiar with it, so it’ll be much harder to justify).

Other programming languages have been tending in the direction of implementing generators and async/await, which can be used to more smoothly implement some of the key concepts of conditions. (They’re not the same by any means, but related.)
My experience while working at a massive company was similar. Lots of talk about innovation. They were even willing to fund the ideas.

What kills most of it is the execution, and I'm not talking about the tech side, I'm talking about working within the hidebound structure of a massive organization and all the rules created for the current business.

Need to tweak a policy slightly so you can actually execute? Get ready for a 6 month slog arguing for the change with legal, compliance, finance, etc. I remember working on an innovative idea were were partnering with an external firm on. Took 8 months just to get the ok to proceed.
I'm not sure I regret the job choices I've made, but if I knew how healthcare laws would have changed over the last decade or so I would not had the same priority for finding a job and probably would have spent more time trying to make it as a writer. I have a pre-existing condition so in 2008 it was very valuable for me to obtain employer-based health coverage before I aged out of being covered under my parent's plan.

If I knew that the age until which you are covered by your parent's health plan was going to be extended to 26, I would not have focused on getting a stable, nice benefits job. I would probably have tried making it as a writer, and unless I had some big break I would have probably considered grad school (which I was planning on for my first couple years after college until I found I preferred working on real world projects to research more or less).

Not 100% sure how that would have worked out. I probably would not have gotten married until I had a stable position somewhere, so I'd be starting my family much later (if at all, if my writing career took off I might be more focused on that), almost certainly wouldn't have ended up with my wife, since the circumstances that brought us together would be very different, odd to think about...

Probably would be more ambitious but with less happiness than I am now, but it's very hard to say. So I don't regret the path I went down, but it's strange to think that so much of my life was based on an assumption (that I needed to secure employer-based heathcare ASAP) that ended up being wrong.
I must admit, that is plausible given how my current organization works.
A lot of people are saying that GPT-3 is a huge step up from GPT-2. This is confusing to me looking at the results in the paper as someone not too familiar with GPT-2.

The tasks where GPT-3 scores much higher than GPT-2 are the ones most removed from broad language comprehension / general intelligence: arithmetic and unscrambling tasks (as in: which character does not belong in the string "app$le"). On the other tasks it does 5-15% better. This seems like a modest improvement for a model that is thirteen times larger than its predecessor.

I don't mean to minimize the accomplishment--training models at such a massive scale is difficult. But genuinely wondering if I am missing something here--are people's reactions more from a qualitative judgement about the paragraphs produced by GPT-3 vs. GPT-2? If so, a non-cherry-picked side-to-side comparison would be great to see. If this is a big leap, why doesn't it show up the quantitative results?
It has been sacrificed due to an ideology which is inherently non-modern, to be fair (and if that ideology was better contained or eliminated we would be better off).
.....MAN, I am not sure how I feel about this. Don't take this the wrong way, it definitely looks like you are just using technology to produce art/craft in your own way.

I will definitely look into this the next time I am writing cover letters — that I dread.

Tools/sites/docker-images that improve your workflow?

Damn, kudos again.
Has America swung that far to the right? Those demands sound to me pretty rational... How come are they hyper-leftists? What's your definition of left?
Sure, I guess that's one way to look at it.
Can it be recycled without contamination of existing radiation in other elements used to melt it and such?

I mean how do they create the instruments in the first place and keep the radiation low?
I got a copy of Windows 7 Ultimate for free from Microsoft as part of a developers conference. Then I upgraded to Windows 10 Pro for free. I bought some Windows 7 upgrades and 8.0 upgrades that convert to Windows 10 as well. Microsoft has a good upgrade policy and the upgrade versions are cheap. I bought some when Amazon had a sale on pre-orders of 8.0 upgrades.