skysight-inc/HackerNews huggingface dataset:
I'm hosting my own mail-server without any problems, for former jobs i supported MS-Exchange small iRedmail instances and ~big self-made solutions, sure it is a commitment but is that not every internet facing service?
Sure but that’s a very specific use case and not a “universal database”. Object store after all is just cloud speak for KV store which is the foundation of data retrieval. So I’m still unclear what this actually does. Has it invented something new or is it tying together mature tech in a really powerful way?
Looks like we can assume a few things about the implied audience.

Highly (or highishly) technical people ready to pay for video courses. One can infer from that a they have a good enough connection.

Is not like everybody should be Facebook, and have his video content available for all devices and bit rates.
In the middle of that book now. Deeply calming.
I think OP is going to meet resistance against the claim if people assume (maybe incorrectly) that they’re talking about the United States. I can’t speak to other places
I know enough smart people who have been pursued by the Finanzamt because their accountant and the Finanzamt had a different interpretation of the law.
+ you don't own the data with Notion; only a matter of time before they force you into a subscription like Evernote did.
Most hobbies cost money and have almost zero return.
Validate Your Idea- Notion Board
On earth they readily convert. The size (historically) was determined by the volume needed to get that much mass. At one time payment was measured in weight as you could never trust the other person (or the person who fooled them) to not mix some less valuable metal on with their coins. Those days are mostly gone but the history is weight (which on earth is the same as mass) is important not volume.
If it's cli it's a nonstarter

Even if it has a gui it's probably a non starter unless there are literally 2 options
Good point. I think, that if you're aiming for the speed, Chebyshev polynomials may even be excessive. It's unlikely that a high order polynomial will beat the hardware implementation. And for tiny polynomials it's best to spend the sparse grid values for the special points.

E. g., you can get your approximation both smooth and continuous by adding the target derivatives in +-PI/2 into the Vandermonde matrix. The overall error may become higher with the same polynomial order but the approximation will be smooth.
> But at the very beginning, there is no reason to believe she is different than any other judge who would be assigned in her stead, and the schedule would barely be affected.

The judge that would be assigned in her stead is different in that they will operate with the knowledge that their predecessor had their family murdered, quite possibly because of the case they're now handling. How is that not obvious?
You might as well say the same argument about Snapchat Inc. who is now known as Snap. Even more generic than 'Apple' as it is used as a verb, adjective and now a company name which appears at the top of the Google search results despite the founders launching their company as Snapchat Inc.

From a SEO point of view, The transition of 'New Vector' -> 'Element' is just as bad since the continuity of the name is completely lost and has to compete again in the SEO rankings.

The thing is with very generic names in search engines and word of mouth, continuity is essential and the creators of Riot have to rebuild it again with a generic name.
I actually love the slightly 'off' aesthetic on the simpsons video, and I think there's some interesting creative space where this algorithm is deliberately de-tuned for interesting results.
>> The significance of GPT-3 is that the scaling isn't slowing down.

Can I ask- who says this? Is it your personal opinion? Is it the conclusion of the article above, as you understand it? Is it a commonly held opinion of some of the experts in language modelling?

I am asking because everytime there is a claim like "X is important because Y" and someone points out that "Y" is not that interesting, if someone else then says "X is important because Z" and Z is not Y, it's very difficult to have a productive conversation, because it's very difficult to know what we are talking about. Of course, this is the internets and not scientific debate (typically carried out in peer reviewed publications) but if the goalposts keep moving all the time, it's pointless to even try to have a conversation about the merits and flaws of such a complex system. That, with all due respect.

Now, regarding whether GPT-3 is slowing down, it isn't, but it's not going very fast either. Like I say, the curve in the middle of the article that shows acccuracy as a function of parameters is quite flat. Depending on how you want to define diminishing returns, the image painted by the accuracy plot is not that far from it and in any case average accuracy is pretty disappointing.

>> What GPT-3 shows us is that we're going to have ML systems that can write at the level of an average human pretty soon now.

Like I say, there's no good metrics for this kind of task. We have no way to determine what is writing "at the level of an average humen" (let alone what is an "average human"), except eyballing output and expressing a subjective opinion. Anyone might claim that GPT-3 is already capable of writing "at the level of an average human". Anyone might claim that GPT-2 is. Or a Hidden Markove Model, or an n-gram model. Such claims really don't mean anything at all.

It is important to note that this is exactly the task that OpenAI has publicised the most, with GPT-3: a poorly defined task with no good metrics. This insistence in promoting an ability that cannot be objectively evaluated as being a strong point of the model is strong evidence that the model is not nearly as good as advertised.
This sounds a bit too negative to me; probably biased as I am because I have a Cafelat Robot manual machine, but still: making an espresso which is of the same rich taste and quality as a 5k+ machine with said manual machine is not really that hard or very finicky (imo). Grind, put in basket, boil water and in the meantime level coffee in basket and put metal screen on top, once water boils pour in basket, then make the espresso. Ok it's a process, but apart from there being few more steps than filter/French/moka/... and requiring some short physical activity it doesn't take that long. I admit that with every new bean I try it takes one or 2 suboptimal cups to tune grind setting but from then on it's spot on.
> That said, we evaluated TileDB for genomics recently and found it lacking for our use case.

Could you share what solution you landed on instead?
I assume I wasn't the only early reader of blogs who thought they point at this being possible, but I admit I did not expect to see it so soon.
Depending on the age their might have been more value to collectors. Some coins contain far more than face value worth of metal
Thanks very much for this detailed and rigorous comment.

I have already read part of that book (along with the book review), but haven't finished it yet. I find that model highly plausible, and think it offers useful insights into what is happening today (even though there is a major difference between the agricultural societies which provide all of his cases, and the modern situation).

I will address the overproduction of elites theme in the chapter on selecting and training a new elite. My central innovation is to try to create an alternative to top-down elite selection and training. Essentially, requiring an aspiring elite member to work with others in small groups at a young age, after which their performance would be peer assessed -- which determines whether they could enter the elite. I hope that this could dissolve the tendency of hierarchies to select people who look/think/talk just like themselves, and thus create an elite more reflective of the diversity in society. This component of the elite would be numerically limited (1 per 100, or 1 per 200).

I address the issue of inequality in other chapters. One idea follows from the above: if the groups above choose to spend their time together to form companies, then some of the shares should go into a Public Equity Fund, in which each citizen would have an account (a fair exchange in return for facilitating the activities of the group). This would mean that everyone would benefit from the formation of new companies. More details on all this in the coming weeks.
I have a much lower opinion of the average human's writing capabilities. Much of what we see online has been written by people who either love to write or are journalists. I think GPT-3 is already at the average human's writing level.
Look at the time stamps.
Considering the limp-dicked response to Epstein's 'suicide' , what makes you have so much faith in 'the system' when possible powerful elements in this system are implicated?
Or that what is done for entertainment purposes is not useful.
OpenSMTPd is simple enough to setup on your own. No need for gigantic ‘dockerized’ email packages where it is virtually impossible to understand what is going on.
I mean, read between the lines. The company doesn't trust that the interviewers' intuition is good enough to beat their formal process.
I think it's still relevant that they show it because it illustrates the irrationality of the situation we're in. I don't see how the notional value can fully cancel out unless it's possible to sell multiple contracts on the same underlying asset.
If you want to sell your house, you can't just sell it to two different people at the same time using different contracts.
Also, you can't sell your house to someone and also simultaneously rent it out to someone else either... Ultimately there can only be one legitimate contract over any given asset at any given time.

It seems that the financial system has legitimized scams by allowing people to sell rights to assets which they do not actually own under the pretext that they will make the transactions necessary to honor the contract 'if necessary'... But it has been proven time and time again that sometimes they cannot honor the contract due to systemic risks... So the contract is bs; people should not be allowed to sell contracts when they cannot provide 100% guarantee that they will be able to honor it... The looming collapse of the financial system is not an excuse to not honor a contract! People should not rely on taxpayer funded bailouts to protect themselves from systemic risks.

It makes complete sense to show the notional value because it shows the extent of the deception. It's not hard to imagine how a tiny change in consumer habits could create huge asset squeezes and liquidity shortages. The value is just not there.
This is mostly true -- but knowledge, perhaps that can persist.
IMO: for cooperate computers desktop-as-a-service is the way to go. Of course that means maintaining two machines (possibly one in a VM.)
It’s somewhat surreal to point this out (being so jaded to the made-up “dog whistles” of recent American culture) but the uppercase sigma is a historic fascist symbol in Brazil.

https://en.m.wikipedia.org/wiki/Brazilian_Integralism
https://twitter.com/avi_eisen/status/1285183834636656640?s=2...
Medicinal Advantages of Eating Garlic
I'm in the same camp. I'm quite interested since it mentions asset data as an example, but I have no idea what this does from looking at the landing page. Does someone have an end-to-end example? Since this stores arrays, is this kind of like Apache Arrow but with a persistence layer? Is this suited for large amounts (~1TB) of time series data?
The comment section is now and again of higher quality, many who are informed on a particular subject.
Proteus becomes the world's first manufactured non-cuttable material
Uh oh. HN crashed the website again
What are some viable startup ideas in fin tech?

Insurance by app?

Stock trading for free?
The book and movie are fundamentally different beasts. Though are both in true Science Fiction form of giving characters a shiny thing, running with it on social/political/economic implications, and viewing it through the lens of modern politics.

The movie was written post "failed military policy" from the perspective of dozens of minor conflicts, middle east interventions, and a few major ones like Vietnam. It explicitly satirizes "political exceptionalism", when they are anything but (utterly incapable intelligence leading to massive fleet loses to artillery, woefully under equipped soldiers, and even psychic abilities used to comical effect of "they're afraid"). While having a "social media reality" that lets the myth of exceptionalism flourish.

The books are essentially written as a love affair to cold war policy, and the concept of the "forever war" against an enemy (the bugs which are essentially the perfect red communists, led by a cabal of male psychic bugs). The soldiers are woefully over equipped to the point that they make master chief from Halo look wimpy, and put through training that makes them actually exceptional. And it is explicitly written through the lens of "this forever war is a just and good thing".

__

They can also be read through the lens of "this is a drunken romp". The book an action combat read, and the movie a comedy. Assuming you don't have the patience to dig into the lessons they offer.

I actually enjoy both. And find the fact that they are nearly perfect foils of each other, even more enjoyable.

And the books did purposefully set recruitment up so that people entering the office would be forced to see grim realities of what they were signing up for, and that people joining would have multiple outs to get out.
@elboru ..

Exactly, it's a pretend war on drugs, while the people at the top make millions. Moving the war on drugs overseas only serves to distract from the US home grown drug industry. And there's no problem in injecting these narco-dollars back into the economy.
> So basically, GPT-3 is big, but it's not that good in tasks for which there are formal benchmarks

It is very good in all those tasks. In the paper all the numbers comparing GPT-3 with other models on those benchmark are comparing GPT-3 in a zero/one/few shot setting (so no gradient step), against the previous state of the art finetuned for hours or days on the specific task with millions of gradients steps. If you had time and money to finetue GPT-3 on the specific task there is every reason to believe the gap would be huge.

This is the big thing about GPT-3, the promise of not needing to finetune anymore. This is huge in term of productivity but also because it allows you to use the model in settings for which there are basically no dataset available to finetune on.
> Cloud is nothing compared to its competition

I've been working with GCP a lot during the last two years, and I think the experience is actually quite a bit better than people generally assume or adoption numbers suggest. It's probably not a great fit for large companies with really big engineering departments building really complex systems, but getting started on GCP as a small to medium org is a breeze, products at different levels of abstraction complement each other well (so it's easy to grow) and everything seems to be built to be minimum hassle and require a lot less fiddling by an engineer to get going than the corresponding AWS product. Much better web console than AWS, great K8S offering, BigQuery can do machine learning nowadays, which is actually usable for simple tasks. Everything has lots of sane defaults, it's usually only a couple of clicks to spin up pretty much any resource; in AWS this tends to be a huge pain.

Although, if you're in the EU and bound to a strict interpretation of GDPR, then your experience is going to be absolutely miserable, because there's no way to actually restrict data to stay within the EU for the vast majority of products. A lot of the serverless products has something like "data may be processed in US West or global" hidden in their docs (which legal tells me is a big no-no), and while you can set allowed regions, even BigQuery violates that silently, so that's useless and dangerous as well.

So if they were to get better at selling what they have (which they really, really suck at; we're using them not because, but in spite of, their sales efforts) and maybe discover Europe one day, then it'll be a very strong contender for AWS/Azure.
Workplace Adaptation: 2020 and Beyond
I remember someone I knew in college who read twitter a lot. It made him angry all the time and kind of unpleasant to be around. Eventually he quit and was much happier. I wish my mom would do that.
The important thing to understand is that there is no obvious reason why a language model should be good at arithmetic, rather than reproducing results in its training set. OpenAI is claiming that it is, which is tantamount to invoking magick. They need to back up their very strong claim with very strong evidence. They haven't, so it's nothing more than an absurd claim that follows in a long line of absurd claims about AI, since the early days of the field.
I think you can avoid the complicated international tax situation by not being a tax resident of Germany.
I don't see how this is a nuanced perspective - it seems to restate the same complaints/arguments just about every comment makes in these discussions.

A nuanced perspective would look at the arguments as to why OpenAI is doing the things they are doing. For example:

* OpenAI publishes in closed journals (actually conference proceedings) because that is where all the cutting edge research is published and reviewed. I cannot recall an OpenAI paper that wasn't available either via arXiv or their website, despite being published in a closed journal. What is the alternative here? Where should they go for quality peer-review? Yes you can argue the peer review at top conferences is not quality, but is worse quality than no peer-review or peer review from open-access no-name journals?

* How does OpenAI make money? How much are they bringing in? How much does it cost to support things like the OpenAI Gym, etc.? How much does it cost OpenAI in terms of bandwidth to host pre-trained versions of GPT-3? At some point a company needs to make money and prioritize resources - they can't give everything away for free in perpetuity.

I don't think these questions have obvious answers - there is give and take.
Every time I access Vimeo, with no exceptions, I'm forced to solve a recaptcha v2, then expected to wait for longer than 30 seconds before being allowed in.

Result: I don't use Vimeo.

Any alternative is better.

I don't have this problem with any other website (that I have noticed), including any video and streaming services.
It is poignant to see a Louisiana congressperson pushing for disinformation to be unmarked, especially climate change disinformation, since Louisiana is continually falling into the sea due to climate change. In some sense, they do it to themselves.

Edit: Downvoters, look at the satellite images [0] and tell me that Louisiana isn't drowning, falling into the sea. Tell me that Louisiana doesn't do this to itself with jungle primaries and fake maps. By deliberately ignoring the problem, they make it worse.

[0] https://nsf.gov/news/mmg/media/images/sea_level4_h1.jpg
Darkweb
who know about river on darkweb?
I think OP's point was that while they might give an 'edge', said edge doesn't really help if the result is still to most people impossible to remember.
Personally I see this as a good thing. The less availability means the less usage. Hopefully this can eventually usher in an era of no coins what so ever.
WebRTC TURN: Why you NEED it and when you DON'T need it
Only because oil is so cheap right now. As more electric vehicles replace fossil fueled ones the refineries will shut down and oil prices will go up.
Nostalgia doesn’t need real memories – an imagined past works too
I agree with you but I want to keep costs down so I am using my workstation .
Does anyone have suggestions for sources of more positive short to medium form reading material?
In case you didnt know, aidungeon.io uses GPT-3 in their "Dragon" model. It's only available for pro accounts though.

I think this might be the way to go forward regarding language models in games: Offer them through cloud computing for GaaS.
This is yet another reminder that climate change is not a science / technology issue. Science has been settled, technology exists. It's a moral courage issue. Moral courage that our leaders lack. So we have to do it ourselves. There are two broad categories of actions one can take. 1) personal life-style changes 2) system change activism. We are at the point where anyone concerned about the climate change has to do both. Nobody is gonna do it for you.
Nope. The simple and safe answer to all those questions is certainly “no”. GPT-3 not intelligent in the way we most of us would describe intelligence.
Express and Body-Parser
The landing page seems to be a bit confusing. This page does a better job at explaining it imo:

https://tiledb.com/embedded/

Without experience with the product, it's core seems to be a wrapper around stored data (sql, hdf, etc.) over several protocols (mysql, static files (s3) etc).
> thanks to your work insisting on full VPN tunnelling

Do work in a VM on your main machine. That way you can have full VPN tunnelling in the VM but the host (and other VMs if you use them) use your normal direct connectivity.

Of course you might be breaking rules in a way that might invite discipline, if working in a highly regulated environment where so measures are essentially dictated by your work's clients, by taking technical measures to circumvent policy, so take care.
Some scientists brewing herbs for research found Nespresso machines to be almost perfectly efficient.

In my work with residential maintenance I find Nespresso machines extremely common but also frequently broken. They are not easy or cheap to repair so often there is an upgraded unit which also breaks. This raises significant issues with durability and design for disassembly. Going for cheap with a high end product may end up cursing the line over time. What I find enduring are the older type of Cuisinart brewers which are made of relatively robust components that are easy to replace. They are nowhere near as good but endure actual use much better.
Payment networks are relatively expensive in Switzerland and some contracts still charge a flat fee + percentage on every transaction, that's why you see these minimums at bakery shops and the like. Hopefully they'll eventually go away.
Does cancelling refund the extra to your card? I assumed most systems would just eat it so I may as well leave it for the next guy.
supercalifragilisticexpialidocius is easier to remember than shortids or uuids, but that distincting is meaningless when 1) everyone spells it slightly differently, and 2) who is Mary Poppins?

I love projects like these but it's a bit of a stretch to argue that this one is practically useful.
It depends on the device manufacturer which is the one installing malware in the first place. There is no hope for android unless something fundamentally changes.
I think you wanted to link to your GitHub and Reddit post, but all your links seem to point to the same HN thread. Since I'm interested in the matter, would you mind putting the correct links?
>> If you had time and money to finetue GPT-3 on the specific task there is every reason to believe the gap would be huge.

On the contrary, there is every reason to assume that GPT-3 cannot significantly improve its results on those tasks with extensive fine tuning. Because, if GPT-3 could significantly improve its performance on those tasks with extensive fine-tuning, the OpenAI paper would be reporting those results (edit: OpenAI sure has the time and money to finetune their model).

As we all know by now, there is strong bias in never reporting negative results in machine learning as in other research fields, so we can be reasonably certain that if there is an obvious experiment to perform and that experiment is missing from a paper, it was attemtped and the results were poor.