skysight-inc/HackerNews huggingface dataset:
Agreed. In my decently long career the types of data problems I've seen be most impactful on the business are not head-in-the-clouds ML issues, but more mundane yet more far-reaching:

1. Appropriately identifying what data needs to be captured from a product to correctly operationalize it.

2. Understanding and modeling data structures in internal applications to identify and tune backend data storage mechanisms (including DBMS). Inclusive in this is helping the application development team pick the correct structure and implement it correctly.

3. Validating implementation of instrumentation within the application so that data cleaning isn't necessary and that telemetry can be appropriately reported on. Building said reports.

4. Doing ETL and taking care of out of band data management to link disparate systems within the business to help build holistic views of the business overall.

5. Be a safeguard against the over-collection of data, because data engineers understand that data isn't an asset, it's a liability that increase costs and risks as a business or product scales, and when there's not a specific need that can be articulated clearly for that data, collecting it is a user/customer-hostile action.

My experience has been that data is a crucial element to understand the health and state of the business with both breadth and depth at a given point in time and identify trends. However, it's mostly used by folks in management as a crutch to try to de-risk decision making, or worse as a political tool to give a faux support to a decision that's already been made but not yet publicized. Decisions carry inherent risk, including the decision to do nothing, you cannot eliminate this, it's one of the components of decision trade-offs. This sort of broken use of data by management is supported by "Data Scientists" that see the field as a cash-cow they can milk while they work on pie-in-the-sky ML strategies which are often unnecessary, even when they actually work.

Done correctly a strong data culture in a company can increase decision velocity, empower engineers, and reduce overhead on management to understand the business. Done improperly, data culture in a business can easily destroy decision velocity, empower dysfunctional politics, and increase engineering overhead to understand systems. Getting it right is the main test for businesses in the new era.
The thing that caused the opioid crisis was doctors and Purdue pharma. Some folks are bad at handling addictive substances, and they were prescribed these things.
What amount of assistance are we talking? There are IP stacks for IBM PC with DOS and for C64. I have Ethernet for my 5150. I have a device that turns a Raspberry Pi into a peripheral for a Ti-99/4A which can provide an Internet connection to the TI machine. I have another device that uses an ESP2866 or so to get anything with a serial port onto wifi. I a DECMate III which is a PDP-8 class machine that can get on the web. I have a couple of Livingston Portmaster 2e access concentrators that can give dozens of systems IP access via SLIP, PPP, or bare terminal-to-IP access. My 286 with OS/2 works fine for graphical browsing, but anything approaching modern TLS ciphers are a performance nightmare.

At a minimum, you're looking at as old as the 68020 Macs and the 386 PCs. The PDP-10, PDP-11, Amiga 1000, the earliest Sun machines (68k, pre-Sparc), and similar age machines from the 1980s and early 1990s having a really reasonable amount of functionality with the right options, OS version, drivers, and software.
You and me both, friend. Except I normally get down-voted to oblivion for saying the opposite.
> he presents the timings as 50 minutes as against 10

Yes, but again this is his rhetorical strategy. You absolutely can skim an hour's material in 10 minutes. Many are tempted to try. But if it's new to you, you won't learn it.

Not a very 2020s style of writing, I have to say. Would not work as a tweet storm.
I was about to make a reference to "six hundred pounds of sin" until I realized we'd be making two different popular cultural references.
Middle-aged conservatives buying insurrection cosplay gear is, I would say, a problem in itself that America is really unwilling to confront. The boundary between pretend and reality gets very, very thin and the ammunition purchased is live.

(It could even fall under existing restrictions on ""gangs"", if those weren't targeted at nonwhite people only!)
I want to live in a world where data scientists making nearly $500K can understand and correctly implement simple concepts such as fixed effects. Is that asking for too much?
See the section "Don't have a mobile device available?" on https://www.fitbit.com/setup for desktop apps.

Some functions, like sleep tracking, are too computationally intensive to do on a wrist computer.
What a great movie! Still my favorite Tarantino film to date. I suppose the whole accents thing was directed for the primarily Anglophone viewer (since some of it depends on reading the subtitles, if you do not understand the language), so perhaps we can forgive Mélanie Laurent for not bothering with a 1940s accent.
Because the UK and EU have no murders, rapes, assaults, etc?

At some point you've crossed from hyperbole into just waging a culture war. Remember that the goal is to evolve both sides understanding in a disagreement, not shout loudly at the other person until they walk away.
> So let's not play dumb and assert that this is about some fixed set of rules

I think that's exactly what makes this such a complex issue. It's unprecedented. Never in the past have social media companies been suddenly used as an outlet for national leaders.

> the tech chiefs are clearly making the rules up as they go along

Again, to the above point, this is obviously the case. There's no fixed set of rules to perfectly mediate this situation and appease everybody. It's going to be a bit fluid.
It can be both. It seems obvious that a thing like Twitter ought to exist. The social system details, I'd agree, are full of unforced errors that lead to terrible outcomes. But the centralization is a real problem too. We can try to fix both.
USPS domestic mail requires a warrant to open.
Guess I will stop using my old fitbit. I've been trying very hard to de-google my life, so them owning fitbit is a deal breaker for me.
Stop using Kanban board and switch to Isolated Lists
Thanks for the clarification! I see what you mean now. 1. I think I'd go with graying-out records that do not match the selected tags. 2. The tags are part of the description, but indeed this is hard to process further. We should add a column for just the tags.
To make things worse they tie iMessage backups to all iCloud backups, so the so-called "end-to-end encryption" of iMessage is essentially a completely irrelevant/broken feature for 95% of iPhone users.

And that's without mentioning that Apple also has the ability to add its own key invisibly without users knowing about it to allow interception (WhatsApp does this, too, now).
It makes certain ideas look more common than they are.

For example, if you've been hanging around here for the last few months, you might pick up on a sizable percentage of the population believes that paying people who live in SF more than people who live in Minneapolis is literally the worst thing ever.

Radicalizing is the wrong word, but this is a pretty strange bubble and it's easy to lose sight of that.
https://www.theverge.com/2021/1/13/22228675/amazon-parler-ta...

Just some examples of those non-existent violent posts
Agree, and the article sets up a weird dichotomy between empiricism and innovation. The empirical work of adapting a Transformer architecture to be smaller or faster or work better on a particular task is scientific work. Like a lot of Comp Sci, a lot of it is engineering, but there is a clear scientific component in that you come up with a model first, then implement and test it (using a lot of pre-built components). It's certainly as scientific as e.g. designing a medicine.
> The design of a medium is far more important than how it is moderated

IMO this is a great point. Social medias as they exist today are broken because they have been engineered on the assumption to make money on ads. Making money on ads works by engineering around virality, engagement and influencing.

Another thing that McLuhan teaches though is that actually the (social) media is the message. And ultimately this lead to a Viking dude standing in the US capitol.

Now, that whole situation was awful. But it was also hilarious.
In social media, this was barely a meme that lived on for a few hours. Whereas within the ancient system of democracy, an intrusion into the parlament is breaking some sacret rules. And there, surely the incident will cast long winding consequences.

To cut to the chase: Social media outcomes have to be viewed wearing a social media hat. Same for real-life. In this case, gladly. Another great case were this was true was Kony 2012, where essentially all the Slacktivism lead to nothing.
http://www.globalization101.org/timeline-of-media-mega-merge...

Well, that's a long timeline, but I could argue that the creative effects of the media megamergers probably "trickle down" from the C-suite at around this time.

It might also be when global revenues for movies began to surpass domestic, so the movies go to the current visual-heavy dialog-whatever formats and more into caricature marketing of long-running symbols (super/comic heroes).

But I would agree, the 1995-2020 is basically the same as now fashion-wise superficially.

The fact that EVERYONE seems bombarded with distraction also seems to have engineered a culture that prevents deep thought, deep creativity, and reflection. So creativity seems superficial, which will also seem recycled.

The algorithms, be it computer or more universal marketing "strategies" (aka algorithms) are an interesting point. Marketing is a lot more prevalent, since you now carry a mobile advertising portal and happily consume it as much as possible.
Dont forget the early (08ish) powerstroke models that would do #fun things like vomit their glow plugs out randomly.
(Jan 2020)
Canada and Germany aren't bothered about it because they have allies that ARE worried about it.

Taiwan isn't under Chinese control, but if there was an escalating situation, you would assume that it would fall under Chinese control VERY quickly.

Up here in Canada, there is no need for fabs as long as the US has them. Canada has no real choice but friendly relations with the US (geography forces this), the upside is that many of the strategic resources belonging to the US are available to Canada.
Facebook should be shut down unless they can commit to a plan to resolve any similar type of issue. Let’s give them 24 hours.
But it's this weird thing where if the click:impression ratio goes down, the clicks get more expensive (at least in was in ~18 when I last ran them).
My interpretation is that the results aren't very certain.
My first thumb drive was 32mb, cost me 100ish USD IIRC. I was so proud of that thing, sadly I seem to have lost it in my most recent move but I keep hoping that little bit of nostalgia turns up in a box somewhere.
Doesn't sound like a modern Data Scientist, sounds more like a statistician with 30+ years of experience.
Since user encrypted iCloud backups would prevent password recovery to access your data I'm more inclined to believe the decision was made out of convenience for the end user.

General public would hate it when the support won't help them recover family photos which are still stored in the cloud. Full encryption is nice to have, but overwhelming majority of users won't get any tangible benefits from that.
You mean Twitter — yammering about “muh freedoms” in other countries while actively censoring the sitting president of their home country?

Yeah, that’s been really hypocritical.
Have a look at this - https://pragmaticstudio.com

They have courses on Elixir, Phoenix and today have just released a LiveView course.
A similar historical pattern is the invention of the steam engine, and then the theoretical framework of engine & thermodynamics formulated by Carnot. (Carnot engine)

The theoretical framework came almost 100 years after the steam engines original invention
I guess depends on what valuable means. I imagine most comp scientists are less replaceable than most software engineers, so point for compsci.
Wrong sub-field. Business insights are usually the domain of statistics, not deep learning. Deep learning is mostly for processing raw text, images, sounds and recommendations. It's dumb, boring stuff like translation, OCR, spam filtering and search ranking. How to run a business is the domain of game theory in economics, or maybe you could do something with Bayesian methods.
Of course they are.

They are easy to find for every platform.
That's true. Getting shell escapes right for various shells is not a fun thing to do, either. I think the ship has sailed on convincing people not to use spaces in file names, so that's always good to check.
'Bubbles' are a pejorative way of just saying 'local communities.' Perhaps as a nation we do not benefit from having an international and transparent global community that is always on and always blaring propaganda and manipulation at people.
> Users could post stuff that would get them booted off twitter, but that was legal speech

I'm curious what kind of posts would definitely fall into this distinction. I see plenty of really distasteful, vile comments show up on Twitter. And AFAIK inciting violence is illegal. So the area between those seems to me like it would be pretty narrow.

My impression of Parler is more that they only deleted illegal speech of a particularly egregious nature, e.g. child porn.
Wow, so basically an exercise in getting grant money to pretend like they're doing science.
>but is Facebooks willingness to moderate their content not at least part of the reason?

At some level, for these type of issues, intent doesn’t really matter, only results. I am sure big oil companies do t intend to cause global warming, however they put profits ahead of any concern for pollution. Same with Facebook. I am sure they don’t intend to be harmful and toxic, but at some level they put profits ahead of any concern for pollution.
And Neil Postman's book, Technopoly

Book Review: Technopoly
https://scott.london/reviews/postman.html

Interview with Neil Postman - Technopoly
https://www.youtube.com/watch?v=KbAPtGYiRvg
I have not have a chance to drive it yet due to the pandemic but I planned to. I would reserve most of my judgement until driving one.

I will say that for the price my expectations are quite high.
Why? And what about people who keep a knife collection?
See also the recent discussion on Peer-reviewed papers are getting increasingly boring.

https://news.ycombinator.com/item?id=25605156
So.. suppose you're Superman, and you can just burn every last Facebook data centre to the ground.

Would removing FB from the internet help, or is it too late at this point?
We are agreeing actually.

The group you are describing are the ones who bought the car. The one I am describing are the ones who are holding Tesla shares/options and doing mental gymnastics how Tesla is still undervalued and will moon forever.
There also exist plenty of screenshots of Twitter and Facebook posts advocating violence and racial supremacy.
I've been using Vue since pre v1 days and donate to the project, I've probably built 50+ apps with it of varying complexity, but I'm seriously considering jumping ship to something like Svelte at some point in the near future.

Vue 3 is great and finally has the TS support I've been waiting for (minus Vuex which is still apparently two versions away from proper TS support) but the ecosystem seems to be fracturing, or at least resources being spread too thinly. We now have:

* A CLI with no official support for static bundling or SSR (the solution is basically "use Nuxt").
* There is a separate static site bundler... but it's opinionated: markdown-centered, theming system, etc.
* An alternative build tool (Vite) which is amazing for development but worse than the CLI for building production apps. It essentially does less, faster.
* A Vite based markdown-centered static site bundler (VitePress).

I read a comment the other day that someone had made about React that really hit home. Basically along the way the project lost sight of the people that actually just want to build actual applications. Vue is amazing, and I'm eternally grateful to the Vue team who have basically enabled me to earn a good living for a few years, but I kind of feel like Vue is heading in the wrong direction.

Rich Harris talked about "a single, officially supported way to build apps" in a talk he did recently, which is what I've been wanting someone to say for a long time. Svelte kit sounds very appealing at this point. Officially supported SSR + static bundling (or both!) without having to either choose between a third-party framework-on-a-framework, a "markdown-centered" bundler, or having to write another custom SSR implementation.
"This stuff is eternally cool as far as we're concerned" :-)
How to end your Amazon Prime Membership
The US would have won the Cuban Missile War if it had escalated. The USSR would have been obliterated, Europe would have been severely damaged, and the US would have been relatively unscathed.
> There was not a peep about their content until from their reps until 1/6. Was it the riot or the senate flipping?

Sounds like you answered your own question. Tech companies were lenient on hosting a questionable community, until members of that community tried to overthrow the government. For all the moderation the Parler admins allegedly did, it was an open secret that it was the hang out spot for right-wing extremists. Yet Parler was allowed to stay afloat until it became clear that doing so became an issue of national security. The riots happened. The cause and effect here are pretty clear. The Parler community did this to itself.
I'm a SWE and data engineering actually sounds super interesting to me. Unfortunately, my day-to-day doesn't provide opportunities to work with the massive amounts of data we generate. I've looked into learning this stuff online but courses like DataCamp seem too basic (I have experience with Python and data cleaning in a research setting along with some academic ML experience) or downright a bit scammy. Many of the articles I read online about this also frame data engineering as a way to transition into the tech industry, which isn't my blocker. Does anyone have advice to help me transition away from pure software to a job as a data engineer?
Facebook's vendors are free to do that. Some might. Some might not. Absolutely their choice, in any context.
This reads like a Google shill wrote it, but if not:

1) the fear of Google owning data is that they will be able to target us more and more. As if our internet behavior data wasn't enough, now they have our biological data.

2) the fact that they don't sell it misses the point because in fact they are the party we don't want the data to get to (along with Facebook et all). And you can bet your ass they'll sell it when they strapped for cash.

3) I would definitely not rather my data he with a tech giant who can map it with all my other data that they currently have.
Good point, my response would be that everyone seems to agree that a certain portion of social media is toxic.

I think the main reason these big social media and tech companies devote so many resources to moderation is their leaders are tired of being called into televised political hearings that sole purpose seem to be political grandstanding of self righteous politicians.
Interesting article but the part where he says “all” you need to learn are matrix multiplications seems vacuously true to the point of meaninglessness. All numerical methods across every field essentially boil down to matrix multiplications.

Your math ability needs to be such that you can transform a problem into a form that can be computed numerically using matrix multiplications, which requires more skill (sometimes significantly more) than simply knowing how matrix multiplications work. Sometimes this ability to reframe complex problems numerically using matrix multiplications is the lions share of the research!
A Journey into Optimization Algorithms for Deep Neural Networks
Personalization as an Engagement Superpower
To call De Forest's audion (now known as a triode) an "improvement" of the diode might be technically true, but misleading: being able to amplify signals was a quantum leap in technological capability, and a necessary precursor to there being an electronics industry.

De Forest himself, however, apparently did not understand how his audion worked, at least at first, and felt it necessary for it to contain some gas. There's an excellent short biography that I will post a link to if I can find it...

Edit: This is not the article I had in mind, but it shows that initially, De Forest's audion did not have a connection to the grid, and also that De Forest was unaware that the triode arrangement could be used to amplify, and considered it only an improved diode; it was Amstrong who discovered its amplification. IIRC (from the other article I have in mind) De Forest was able to appropriate the fruits of this seminal discovery by use of his audion patents (Armstrong was later screwed over by Sarnoff and committed suicide.)

https://history-computer.com/the-audion-history-of-the-audio...
It was a protest.
Don't start the gaslighting again.
I want rat park to be true. It's depressing that it's not been effectively replicated. That said, it's conclusions are sort of common sense; if you give people options and one of them feels better than the rest they will take it, so give them more good options. It's almost as if rats aren't subject to market forces...
I will not assume anything. When they roll official update and people do proper testing (Wireshark etc), may be I will update. But for me the romantic days of "trust us we care for users privacy" are over. Period.
I read Apple actions, not intents. And reading actions for me is: "Mac OS is a valuable part of vertical integration map of Apple services". When I buy something - I own something. If idea of ownership is problematic for Apple they must state it openly and rename all the hardware store buttons from "Buy" to "Rent".
>If you see someone in the office at all hours, especially when wfh is an option, odds are good things aren't going great for them

It's definitely something I keep a sharp eye out for. Sudden increases or changes in hours definitely warrant a conversation. With COVID and WFH, I've had a few of those conversations as well. It's harder to catch the signals, but they're there. Changes in productivity, hours, etc.
Very worried. Sounds like unnecessary effort.

Why would influencers on Twitter seek to rebuild on Clubhouse when a viable alternative exists (or will)?! Outside of the timing which will be a moot point shortly...
I thought Grafana was doing great with its managed offerings. Personally I'd prefer you consider BSL before SSPL since it's usually clearer to most people.
I had hoped the internet would enable formally disparate subcultures to get a slightly better "critical mass". You do see this in places...

But the net effect is that the outreach allows the "big media" to increase their footprint, and that footprint quashes innumerable nascent subcultures from forming, just from sheer greed in consuming your attention.

Boredom also used to fuel imagination.
Saudi Arabia Resurrects Discredited “Linear City” Concept in Bigger, Dumber Form
> used in serious new applications these days?

Unpack this for us... Do you mean commercial applications? If so, you can determine for yourself the small number of languages used for "serious applications".

If you mean data analysis, ETL, system administration, and general data reconstruction, I can't think of a faster, more appropriate language than Perl. Sed and awk are also powerful mainstays.