skysight-inc/HackerNews huggingface dataset:
Gilbert Strang has an engineering text 'CSE' for creating models using differential eq and solving them entirely in MATLAB or other software. All lectures on MIT ocw https://ocw.mit.edu/courses/mathematics/18-085-computational... it's probably the best math course I've ever done.

If you go on MIT Stellar you can get the most recent lectures if you want, but the book hasn't changed. MIT likely has a few more of these kinds of courses if you look at their most recent offerings, I've only done that book/course(s)

Maybe you also want to program drones or robots or self driving cars http://symbolaris.com/course/lfcps.html this heavily uses differential invariants and all the lectures are open.
Make generated JavaScript Inline Caching friendly
Sure, but he won’t be able to comment on shit and ignite another controversy, like what seems to happen on Twitter.

People like him usually communicate to the world through conferences, papers and statements where the messaging is reviewed. Twitter let’s people speak their minds, and you know what? Most people who have not dealt with issues of racism and bias just don’t understand how to have a conversation about these things and screw up.
Show HN: Ana: A dynamically typed programming language and virtual machine
> I don't really understand sentiments like this - Twitter is just a means for people to communicate

The problem is in the way it is designed. The shortness of the tweet limits context and nuance. This makes it easy to find something to be outraged over. Now add the re-tweet that makes it easy to spread the outrage everywhere. No, Twitter is optimized for outrage and conflict.
The medium is the message. The medium, Twitter, may not necessarily be just a passive channel, but an active component that amplifies and promotes certain types of communication at the expense of others.
Indeed, it's not economical for most people. Even rental is probably not something that most people would bother with. Most people are served enough by the one or two HDDs they own, maybe a NAS.
Moderators did exactly the opposite of what you said in that tweet. We turned the flags off as soon as we saw them.

Btw, https://twitter.com/newsycombinator is a third party account that is not connected to any of the people working on HN or at YC. There are many such third party feeds.
i think its mostly miscomm.. he wasnt wrong in the narrow context of this particular model, what he said was almost certainly true.

the concern is that, if interpreted as a general solution to the problem of racial bias in ML, its incomplete.

after that it kind of devolves and everyone is talking past one another and flaming, its twitter after all
I've found keyboard-only vim is much slower than a mouse for editing papers, because the edits are often random-access and vim isn't great at that. You also can't use SyncTeX (which is amazing) without a mouse.
Paying $65 to watch ads, no please.
The criticisms leveled at LeCun has nothing to do with Facebook or his employment, but rather with his commentary.

To summarize (in case you didn't read the article):

> LeCun responded, “ML systems are biased when data is biased. This face upsampling system makes everyone look white because the network was pretrained on FlickFaceHQ, which mainly contains white people pics.

> “The consequences of bias are considerably more dire in a deployed product than in an academic paper,” continued LeCun in a lengthy thread of tweets suggesting it’s not ML researchers that need to be more careful selecting data but engineers.

Other AI scientists, most notably Google's Timnit Gebru, disagreed with the framing of the situation strictly in terms of dataset bias:

> Research scientist, co-founder of the “Black in AI” group, and technical co-lead of the Ethical Artificial Intelligence Team at Google Timnit Gebru tweeted in response, “I’m sick of this framing. Tired of it. Many people have tried to explain, many scholars. Listen to us. You can’t just reduce harms caused by ML to dataset bias.”

It's an especially sensitive time now when AI is being used to power many judgments with real-life consequences.
It's quite common for the selection created by motion to have immediate subsequent use. I do use the ';' or ' ' commands to clear the selection or end multi-selection, but typically only once per major operation. On top of that, it is common to start some new editing sequence which automatically resets or extends the selection in a natural way.

Multiple selection has surprised me in its usefulness. It took a bit to get used to multi-step operations (select, then move/expand/match, then modify, etc.), but the beauty of this is that it's possible to incrementally undo these steps, unlike having to get the whole thing right in one go in vim. I find myself using regex captures in multiple selection -- another example of how I confidently use basic kakoune functionality where I used to rely on recorded macros in vim.
Sure. All I meant is you cannot just download and install anything and everything without using your judgement.
Charter has no contracts too. I actually think I'm going to switch over there because, believe it or not, they'll be cheaper.
First, China's government publishing false information wouldn't be looked at as malicious?

Second, the first amendment only applies to US citizens and those on US soil. So, as pointed out, American's have the right to seek out such information, but those oversees have no such right to have it disseminated here. Someone in the US can take the information and broadcast it on their behalf, which is how it happens now, but the notion that foreign agents have a right to create and disseminate whatever information they like is patently false.
Nice list. Recently, I loaded all the prices into an Excel document to make things easier for projecting costs and determining prices. I always use the following formula for estimating monthly costs on Amezmo.

$Hourly * 750

750 being the number of hours in 1 month.
They get paid by the cable companies (or YouTubeTV style equivalents). It’s not too much (~$0.40/subscriber IIRC) but it obviously adds up.

They don’t get that money if you use an antenna, but that’s a small market compared to the internet. Most people who use antennas won’t pay anyway, and broadcasting gives them access to the network.

But opening up streaming will draw a lot of people who would otherwise have a cable subscription. Which will lead to much more cord cutters and cut into the carriage fees from the cable company.
What do you think about using the two different kinds of quote character for two different kinds of string literal?

For example, double-quotes for literals that interpret escape sequences and do variable interpolation, and single-quotes for “raw” string literals?
Discord raises $100M at $3.5B valuation
Yeah, one telco I interviewed with talked about how they could play on the same grounds as Google. They have the market cap and manpower, but not really the same vision and engineering culture. So a lot of what they do is chase the latest buzzwords.
> Twitter is just a means for people to communicate

Human to human communication inherently includes a certain amount of noise per signal transmitted. Twitter or in general social media algorithms seem to amplify the noise more than the signal since disagreement translates to higher engagement metrics than agreement. There is only so much their algorithms can do in the name of increasing relavance (i.e finding signal amidst the giant noise they help created).
To me it seemed like Timnit Gebru was spoiling for any reason to fight, and decided to make a big deal out of a factually correct and hard-to-misinterpret statement.

I mean, he was clearly referring to the specific model.
> The quality at Daiso and such is lightyears above dollar stores in the US. It’s quite outstanding.

I like Daiso quite a bit, even if it's more like a $1.50 store.

I'd definitely trade a local Dollar Tree for a Daiso.

I also hope that 7-11 stores in the US become more like 7-11 stores in Japan.
While I sympathize with this view: "You can’t just reduce harms caused by ML to dataset bias" (there's clearly other stuff like operator bias), I think there's a problem that if you don't focus first on dataset bias, you'll never reduce the harms caused by ML.
I've been following Jeff Dean's twitter for about a year. Even if we put aside the technical contributions that he and his teams have made, that man is a paragon of leadership. Compassionate and yet so level-headed and reasonable.
I hear this a lot, but I don't get it because the user is entirely responsible for who they follow and thus the messages they're exposed to.

I prune my Twitter feed and keep it pretty slim. I follow people who I find interesting. If they don't turn me off, I continue following them. If they do, I cut them. The turbulence in my Twitter feed remains moderate as a result.

You can always come back to someone, too, after a particular controversy has blown over or something. But my point is it's all in the user's hands how out-of-control Twitter feels. Simply don't follow people who make it miserable.
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In case there was any doubt - this article was flagged because of the inexcusably misleading headline.

There may be something worth discussing here, but there's basically zero chance of reasonable discourse unless the title is changed.
> Twitter is not the ideal forum for controversies between people who specialize on what's true and people who specialize on what's right"

Basically all of social media.
Yeah that would be a great argument if it wasn't for the fact that anyone who can afford a lawyer is never going to go to jail for unpaid tickets.
Indeed. When I'm wearing heels and a floor length flower pattern frock I would say I'm just a bloke wearing a dress, but if you insist that's cross-dressing I shan't disagree.

However my gender remains resolutely unaffected and I have no time for people who expect otherwise. Judge a book by a cover you might, but slipping the dust jacket from Moby Dick onto a copy of The Princess Bride certainly won't make it into a story about whaling.

Also, this word always reminds me of Eddie Izzard: "They're not women's clothes, they're my clothes, I bought them".
You joke but this is literally how I used to quit vim as a kid because I'd accidentally press Windows undo and didn't know the 'fg' command existed.
Posting like this will get you banned here, so please don't. If you wouldn't mind reviewing https://news.ycombinator.com/newsguidelines.html and taking the spirit of the site to heart, we'd be grateful.
I am confused... Dollar General and Family Dollar are not really dollar stores. They have "dollar" in their name, but the prices are comparable to other supermarkets. I just looked at their weekly ads and it could have been any other mainstream supermarket with similar pricing. Yet the article only mentions Dollar Tree in tangential context by saying they locate predominantly in suburban areas, which implies lower crime.

While Family Dollar is technically owned by Dollar Tree, it is not integrated and functionally a failed acquisition. Dollar General is not affiliated although Family Dollar attempted to acquire it.

DollarTree, on the other hand, is a true dollar store. I shop there often and it's my preferred choice.

In terms of clientele...

Whole Foods (Amazon)/Sprouts/Nob Hill (Raley's)/Trader Joe's/Harris Teeter/ Boutiques - elite
Safeway (Albertsons)/Lucky (Savemart)/Publix/Kroger/Raley's/Walmart - mainstream
Dollar General/Family Dollar - confused "dollar" stores that are not dollar stores
Food Maxx (Savemart)/Foods Co (Kroger)/Winco/Grocery Outlet - bulk shopping outside Costco
DollarTree/99 Cents Only etc. - true dollar stores for shopping while broke or not considering status
Convenience stores/Corner stores - terrible places to shop.

Given choice, Dollar Tree always beats Dollar General and corner stores for availability of healthier foods at a lower price except produce.

Fun observation: Kroger's Foods Co San Francisco store is probably the city's largest liquor store. It has armed security guards. All liquor is at front of store.

Source: I maintain POS equipment for all major grocery chains. Dollar Tree is not one of them, I just shop there.
There are a few good reasons why not:

1) An LTO-8 tape (capacity approx 30TB) is around $200 to $300 AUD (depending on brand), so that figure could only work if you're excluding the cost of the tape. LTO-7 (~15TB) costs around $100 to $150 AUD and would probably be more suitable, but it's still a lot of money for what's essentially a consumable item.

Also, I would imagine that if the choice was between buying a tape that requires you to go to a third party to use or invest thousands of dollars in a tape drive, or just buying an external HDD you can use at home and unplugging it when not in use (so cryptolockers etc. can't eat your backups), most people would go for the external HDD.

Unfortunately LTO-8 drives can't read LTO-6 or earlier (previously the rule of thumb was drives could read/write N -1 and read N - 2 of the drive generation e.g. an LTO-7 could read but not write LTO-5 tapes), and it probably wouldn't make sense to invest in outdated drives capable of writing LTO-6 (~6.25TB) or earlier, even if you could obtain the older LTO-6 or smaller media relatively cheaply. Vendors would not want to support it.

2) Most backup software I'm aware of is designed around recurring jobs (e.g. BackupExec), not one-off jobs, and to store data from a number of backup targets onto a single tape (or set of tapes).

You could work around this, but there's no off-the-shelf software for doing so I'm aware of (I know some versions of windows server backup can write direct to tape, but this would have to cope with a variety of source media and also make sure that jobs from different customers are never co-mingled on the same tape, etc.).

3) The cost of the hardware required to achieve a decent turnaround time on the tapes (depending on target time e.g. some customers might pay a premium for same-day conversion) would probably exceed what you're likely to earn selling this service. I doubt it would be financially viable, simply due to the low number of customers.
Please don't be a jerk on HN, regardless of what somebody else did or didn't read.

https://news.ycombinator.com/newsguidelines.html
Now the Chinese know all about it without stealing flight manuals
The reason we need a blanket rule against state prohibition of speech is that human beings cannot be trusted to decide which speech is off limits. It's obvious to you that white supremacy makes the list, but it is just as obvious to religious fundamentalists that heretical speech should make the list (we're talking about your eternal soul, after all).

There is no workable rule that can't be exploited or extended. And it's not enough to invoke the Slippery Slope fallacy in response, because even if we could all decide today on the perfect list of topics to prohibit (we can't, but even if I grant you that absurdity), politics and governance absolutely does operate incrementally and no line would long remain static, especially a line that's so easily moved as one defining acceptable speech.

It's just simply not a workable idea. The only thing you can do is make a rule that prohibits the prohibition of speech and then let people fight it out in public, over and over and over and over, just like you and I are doing here.

And to be clear: YouTube (and other private actors) banning speech they don't like is a totally legitimate part of that conversation.
Building the Tailwind Blog with Next.js
When I read that line my heart broke a little.

I think he's done a great job with Redis. It goes to show sometimes that you need to let go of the thing you created for the good of the community. If I were in his position, I would have made the same move
Ever year or so I look at the nice sugar that things like VScode or other IDEs have and think "it has vim mode, those nice things would be good to have" - autocomplete, things like that. So I try the IDE and I get so tired of _in the way_ it gets that I just go back to vanilla Vim.

Then I think "maybe I'll try these IDE like plugins for Vim" and get so frustrated by the Vim plugin system that its back to vanilla Vim pretty quickly.
Could you please explain why balanced training data is not enough?
The scammer was trying on you a variation of the plot of a Black Mirror episode, "Shut up and dance". They were counting on you being alarmed about a secret so shameful you'd turn your skepticism off.
It's not the services fault. These big tv conglomerates don't want their channels optional because they know no one wants them for the most part. Or, at the very least, you won't accidentally start watching something on their network if you don't even have the channel.
Piracy is still piracy, regardless of your personal feelings about the value of your own use case. You’re taking something that is not yours for taking.
Indeed. Someone with the fortitude and discipline to get really good at their tools can probably pick up whatever you throw at them.

Its also a good sign that they might be into technology for its own sake, which also doesn't hurt.
> I don't really understand sentiments like this - Twitter is just a means for people to communicate. If the apparent result of this communication is "tearing us apart", then isn't that the fault of the end to which people communicate, and not the means by which they communicate?

No, tooling and the incentives around them matter. Twitter makes it super easy to find the worst examples of the other side/take them out of context, and circulate what they said among 'your people' to get massive retweets. Twitter does this because it creates a more engaging experience. Yes, if people were perfect robots, Twitter could just be a means for people to communicate. But the incentive structure of social media, ie: what goes viral, selects for outrage. The medium is the message.
This assumes the creation of intellectual property is socially productive in itself. There's plenty of an actual property that doesn't need to exist, even if it costs a lot of money to develop. There's no reason the state couldn't efficiently allocate resources for the rest and give it immediately to the public domain.
Probably because they're uploading (and playing back) from a webpage and Web Audio is weird and inconsistent, so sticking to a builtin codec is probably more reliable. As someone who trains on their data, it seems usable anyway. Training on 1000 hours of Common Voice makes my model better in very clear ways.

https://caniuse.com/#search=mp3

https://caniuse.com/#search=opus

I got flac working for speech.talonvoice.com with an asm codec so they could do whatever in theory, but I do get some audio artifacts sometimes.
10 dollars felt too much compared to free youtube, and now they want 65 for whatever they are selling.
I would not pay $5 a month for YouTube TV
> you can monitor ad or organic performance with tracking pixels!

Use of tracking pixels is not a pro. It is a dark pattern that needs to go away.
Many of them charge cable operators for the right to carry them: https://en.wikipedia.org/wiki/Retransmission_consent - so having the channel available free online diminishes the value of the retransmission consent.

Also, the copyright licenses the station has for their programming usually specify limits on redistribution - e.g. geographical, types of carriage, amount of customers reached (with a wider distribution costing more, as it provides more value to the licensee and reduces the licensor's ability to sell licenses to other entities).
That’s still going strong actually and a really convenient way to download things.
This. It's easy to get lost in abstractions and start thinking that the real world is just getting in the way of solving your beautiful abstract problem.
My takeaway is that people disagree that the problem is simply the choice of dataset, but rather, they think that the problem is using ML at all to perform certain tasks (including, perhaps, making important decisions based on a person’s appearance).
Increases like this will accelerate the jump away from cable. There is no infrastructure costs comparable to physical cable, or last mile boxes and equipment. Just OTT.

I’ve recently started watching more YouTube and while the production quality might not be where people like, you can certainly find meaningful content for non-fiction.
What exactly is balanced training data, who decides it is balanced?
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Shift+V is something modern editors still don’t get right.

This is my favorite and most useful Vim command.
Yann was "technically correct" in that the nature of the results are highly driven by the nature of the dataset you use.

However, that framing of the discussion can easily be interpreted as absolving the ML community from the ethical discussions around the nature of the datasets.

Is it acceptable for the community to hand-wave these issues because they are "dataset problems"?

For what it's worth, this is a much larger debate that is happening in many fields. For example, a bunch of decisions around car safety were based on crash tests. Those crash tests are based on dummies that were designed around male body forms and thus don't really test how women would handle the crashes. To quote the author of Invisible Women:

> As a result, if they are involved in a car crash, women are more likely to be injured – 47 per cent more likely to be seriously injured and 17 per cent more likely to die.

This general questioning about the implications of bias in the datasets is happening in many fields
Riddle me this:

I wonder what ROI would look like in comparison if the schemers targeted $49.98.
Redis is a pleasure to work with