skysight-inc/HackerNews huggingface dataset:
> Federal prosecutors have found surveillance video of the area around the cell of accused child sex trafficker Jeffrey Epstein on the day of his first jailhouse suicide attempt, according to a new court filing. Earlier this week, they said the footage was missing.

https://www.cnbc.com/amp/2019/12/20/video-of-jeffrey-epstein...

Hmm. Is there footage of his success?
FWIW, if you use 2.4kw charging (Level 1, typical for a household) , it may take multiple days to recharge your 80kwh battery. Charging overnight, for example, it would require three full nights to get back a complete charge.

While this wouldn't be a problem for most folks, there are definitely many who could easily outstrip the power provided by a Level 1 charger (in my area, construction workers who are driving around 100 miles per day to their worksite is an example).

Also, you need a minimum of level 2 charging to support long distance travel by road, where a full battery can be consumed in about 3 hours of highway driving.
Well, to be fair you can't exactly ask typical syslog demon "give me log files of an app" but the way journalctl implemented it is just fucking terrible.

It takes 4 whole seconds [1] for systemctl/journald to tell me it has no logs for the daemon on my NAS and it opens 985 files while it is doing it

If it just used sqlite as a backend it might've been useful for analysis (on top of way faster...) but Lennart wanted to have a go at implementing binary DB format badly so we're stuck with it.

If it at least kept a pointer to last file the app's logs were written to the lack of proper indexing also wouldn't be a problem.

But nope, it's just entirely worse than text format. And I do mean that in entirety, acking thru text files is faster than systemctl trying to find log files for the app...

* [1] https://github.com/systemd/systemd/issues/2460
What has become of the thoughts to let the grid not only cope with it but actually make the cars part of the battery system to support the grid for peaks?
I do not know about a Pi, but you can run Pi-hole on old(cheap) hardware with linux. You do not need a Raspberry Pi. I have Ubuntu Server running it. It is quite simple(two commands?) and there are plenty of tutorials out there. Odroid is a good alternative to Pi that can run Pi-hole.
Well, dotnet DOES mention it in getting started (first run):

Telemetry
---------
The .NET tools collect usage data in order to help us improve your experience. The data is collected by Microsoft and shared with the community. You can opt-out of telemetry by setting the DOTNET_CLI_TELEMETRY_OPTOUT environment variable to '1' or 'true' using your favorite shell.

Read more about .NET CLI Tools telemetry: https://aka.ms/dotnet-cli-telemetry

https://learn.microsoft.com/en-us/dotnet/core/tools/telemetr...

HN crowd associate telemetry with privacy or cancer and the T word gives shrugs... but it is not always the case.

> Protecting your privacy is important to us. If you suspect the telemetry is collecting sensitive data or the data is being insecurely or inappropriately handled, file an issue in the dotnet/sdk repository or send an email to dotnet@microsoft.com for investigation.
How VCs can avoid being tricked by obvious frauds
> Managers will say they want to make data-driven decisions, but they really want decision-driven data.

Has been my experience as ML engineer too. Decision making being intuition- and not data-driven was one of the largest shocks to me when I went from academia into industry.

How upper management and the board determine the course of the company was based more on emotion than anything else.
We're not going to settle this today but I think the later stages are where frameworks shine.

For instance, when Oauth became popular I was maintaining several apps where the original authors had never dreamed of an alternative login method (email and password had been the norm for longer than any of us had worked as developers).

The Rails apps required a few small config changes which I could get from the documentation then HTML for the "Login with Facebook" button.

The framework-less apps were disasters. Each had their own way of doing things. Some used libraries that were no longer maintained, others had rolled their own authentication workflow or half copied the code from another project.

There is a lot to be said for frameworks when facing an unpredictable future. There is a cost to be paid up front as far as learning the framework but the benefits on the back end are enormous.
Downvoting on HN is many things at once, but I hope the above comment remains readable. Beliefs like the one above are important because they help define the conceptual edges of categories, which cannot be surmounted and overcome until well-understood. Some might say, not unreasonably, that there's skill in applying/countering special moves in a similar way to countering some unexpected bankshot in Pong; those people are working from the more modern category of "asymmetrical character selection"-based videogaming.

IMO the claim that Mario Tennis is Pong is verifiably correct, and it's also obviously wrong. Dropbox, as the infamous comment goes, "really is" "just" filesharing and -mirroring, scaled up -- and Dropbox is also something different than really flashy WebDAV.
> strong HATEOAS would mean you could write a universal client that works across all APIs.

It would be hard not to make that client behave like a browser from the user's point of view.
TBH, 11.5kw would be enough for most people with a Hummer EV too. It'd still gain ~50% overnight. It could keep up with a 100 mile commute.
I disagree. Depending on the prep, I could have been fooled into thinking it was a real patty at Hopdoddys. Saying it is unhealthy sounds ideological. The point of making this imitation meat is to over time, get better and better until it is truly indistinguishable. It is premised on the idea that many people don't want to give up their meat foods, and that mass meat production is unethical and environmentally negative.

There is a need.
Are there any solutions that still works with Youtube ads? Pi-Hole doesn't work for some time (and most likely won't ever again)
I'm not an electrician so this random idea might be stupid: could one disperse large batteries around the grid, such that at peak load these large batteries can drain to meet the demand, then charge during off peak hours?
Where are these jobs where you can interview this badly and still get hired because in my experience DS interviews are extremely hard and often expect people to have very high Stats skills as well as Data Structures/Algo skills at FAANG level.
And New York Times have competition in the space.

There is no meaningful competition to what Twitter or Facebook does. If you stifle voices on that platform majority of the country won't hear them.

Them not being technically public is the problem in itself , they function like public forum for opinions but one that is manipulated by corporation.
Can we? Vertical farms are starting to be a thing, and they use water way beyond what you'd expect for the area.
After years of working with arguably ever-engineered projects where everything is an interface and the actual implementation is hidden so far up the callstack that half the time was spent searching for the file that needed to be changed, I came to like down-to-earth, YAGNI (You aren't gonna need it) mentality. This includes sometimes keeping things in a single file when sensible.

Sure your domains aren't so pure anymore because you've cut some layers of indirection and simplified things. But the cognitive load is so much smaller.

Such a pleasant delight to work on "dumb" code.

As always, it depends on the size of the project. But my threshold for keeping things simpler has certainly shifted towards trying to keep things simpler when possible.
Well, only republicans.
Bothered me as well, so I installed Little Snitch and subscribed to a well maintained list of rules. I’m sure there are some edge cases I’m missing, but now I’m positive Adobe isn’t phoning home.
Did you reply to the wrong comment? OP said nothing about L1?
With his constructivist program I wish Steve Wolfram would just grow some balls and firmly reject the Axiom of Choice. (e.g. Mathematica at best can represent a measure subset 0 set of the phony numbers, the numbers that Mathematica can represent are more real than the rest of them.)

His whole approach of throw a lot of things at the wall and seeing what sticks is never going to sample all of the objects requiring an infinite choice procedure to find.
Hasn’t happened to me recently, probably about 16 months since the last time it claimed everything needed to be reset. Fortunately, I found I can put the Time Machine archive on btrfs and use snapshotting to roll back a day when this happens. Works great.

I also found increasing the band size to 50MB from the default of 8MB made things work “better”, but I lack concrete empirical evidence.
I can think of three reasons:

1. ad blockers are still so niche that it's not worth it to them

2. static IP addresses are dead-simple to block in a router or (probably? not a browser coder) in a browser plugin

3. static IP addresses aren't a real great cloud pattern, they're hard to scale out to meet demand
Spring Boot is actually a VERY easy to use framework. So much so that Netflix shifted out of writing their own libraries to using Spring boot.

For example, the code below is a complete Spring Boot application with all of the default configuration in place. It will take just a couple of minutes to have this running and it provides quite a lot of features under the hood - which you don't need to worry about.

@SpringBootApplication
@RestController
public class DemoApplication {

@GetMapping("/helloworld")
public String hello() {
return "Hello World!";
}
}
I think said sites need to be submitted first, no? In any case - as a fan of the ol' web - i favor this type of search engine! :-)
It’s getting pretty close.

Windows status: https://github.com/crystal-lang/crystal/issues/5430
For programs which use libedit, you can also setup vi mode.

bind -v
my mid 80's FJ60 had a hand crank for the gasoline engine, so, given that this article is about the 70 series that debuted in 1984--I wouldn't be surprised if it had a hand crank as well.
How did you do the transition from DS to SWE?
Most of my code I write is small projects where all the code is in one or two files

I don't enjoy working on enterprise codebase where there's thousands of files that do very little and the code is refactored so hard that you need to jump between 20 classes to understand how it all works and fits together.

Leetcode solutions are usually single file solutions.

My programming language and interpreter are more than one file though. A parser that lexes and creates an AST and an interpreter class and a class for each kind of AST node that do codegen.

I could probably hast used a single file and inner classes.
Especially given the additional energy necessary to build this thing from scraps and the opportunity cost where the artist could have contributed to something productive.
"delicious" and "bean burger" never have gone together in my experience. To each their own, I understand. Maybe it's because I only had a bean burger at Chili's .
They're specifically talking about replacing gas appliances with heat pumps -- e.g. heaters. A moderate sized 3-ton unit uses around 5kw to heat on cooler days where a gas furnace might use 0.1kw to turn the blower motor.

I live in a weird house that has 3 gas furnaces but only one of of the furnaces has AC attached at the moment. I'm going to swap out two of the three for ducted heat pumps, so my peak electrical load in both seasons will increase by roughly 5kw. Replacing the third furnace (with the AC) would surely reduce the cooling electrical load since it's old and outdated, but would add another few kw to my winter heating load if I were to do so.
On the flip side you used to have statisticians writing code that is frankly unusable in a Production environment. You would weep at the R code I've seen and had to turn into something to actually produce business value.
> x86 defines what specific instructions do, nothing so crass as "signed integer overflow"

I don't understand what you mean. The x86 standard defines what happens if an `add` instruction is performed and the result overflows, possibly affecting the sign bit (what happens is that the OF flag is set, and the target register is set to the two's complement representation of the sum modulo 2^bitlength).
If any of this is interesting to you, but you would like some deeper content to bite into, perhaps start here:

https://lmax-exchange.github.io/disruptor/disruptor.html

This technical paper sent me on a multi-year journey regarding one simple question: "If this stuff is fast enough for fintech, why can't we make everything work this way?" Handling millions of requests per second on 1 thread is well beyond the required performance envelope for most public "webscale" products.
IMO a data scientist should also be a domain expert, in the same way analysts are.

But of course, too many view DS as some abstract skill where domain knowledge is not needed, and where the methodology will solve all problems / provide insight.
> For electric cars, no-one needs 48A (11.5kw) charging (unless you bought a hummer EV and then you’re an idiot). The city can start denying permits for charging at more than 24-32A unless you have enough battery storage to cover it up.

You're wrong about this. We frequently take day trips that are about an hour each way from home, and without the L2 we would get dangerously low after another day of commuter driving. As a co-poster noted, standard chargers will take days to recharge. Ours does about 6 miles of charge / hour, whereas the L2 does about 30 miles of charge / hour.
"it's pretentious to know what you're doing" just be a haxxor xD
True, but that's a pain to manage since it is fairly rigid. Even bad actors prefer flexibility in hosting that DNS provides. It's easier to burn a domain name than an IP address.
> I think that is not done because it's hard/unclear how to handle patches that are not the same size.

Is that because of all the effort put into running the same algorithm in parallel on a ton of tiles and then piecing together the results?
Hypothetically, would this still be the case if eating bugs was better on environmental and animal welfare/displacement metrics over plant agriculture, and those considerations were motivations for someone being vegan?
I agree with you. What I have also done is increase the history size:

https://eshlox.net/2017/08/01/bash-increase-command-history-...
Caring about the main function in a framework-ey app generally makes as much sense as caring about the x86 initial boot code when launching mspaint.exe
> Not just infinite, but also uncountable.

If the players are countable and the colors are countable, then each equivalence class is also countable. I guess that might also make it computable, in some model that lets you deal with infinite objects?

Eg suppose you have a 2-tape Turing machine where one read-write tape is input which records what you see. There is a separate tape for the Turing machine's internal state. The machine outputs an infinite stream of assignments by doing normal Turing machine things, plus a "yield" instruction that yields the current state of the input tape as an output. The equivalence classes ought to be computable in that model. Note that the equivalence class is a set, so the Turing machine's output should be interpreted that way, i.e. two equivalent inputs will give outputs in a different order. (They can't always give outputs in the same order, because F isn't computable.)

But yeah, there are uncountably many equivalence classes, and F is not computable. If it were, then as I understand it, then you wouldn't need choice.
Twitter has stopped enforcing its Covid misinformation policies
Show HN: Real-World Datasets for Benchmarking Object Detection Models
having worked on globally distributed caching for the last decade, the absurd abundance of low-hanging-fruit here is genuinely exciting. the system has as closed to zero 'intelligence' (software) built in as can be right now, so there's almost nothing but green field ahead.

for example, it would be technically trivial to implement a kind of "lock acquisition" handshake where all the meters downstream of a bottleneck (transformer in this case) request their incremental kW and the utility does basic fair- queuing. even if only new meters and cars did it, it would still help immensely.
* Blog Post: https://blog.roboflow.com/roboflow-100/

* Paper: https://arxiv.org/abs/2211.13523

* Github: https://github.com/roboflow-ai/roboflow-100-benchmark

At Roboflow, we've seen users fine-tune hundreds of thousands of computer vision models on custom datasets.

We observed that there's a huge disconnect between the types of tasks people are actually trying to perform in the wild and the types of datasets researchers are benchmarking their models on.

Datasets like MS COCO (with hundreds of thousands of images of common objects) are often used in research to compare models' performance, but then those models are used to find galaxies, look at microscope images, or detect manufacturing defects in the wild (often trained on small datasets containing only a few hundred examples). This leads to big discrepancies in models' stated and real-world performance.

We set out to tackle this problem by creating a new set of datasets that mirror many of the same types of challenges that models will face in the real world. We compiled 100 datasets from our community spanning a wide range of domains, subjects, and sizes.

We've benchmarked a couple of models (YOLOv5, YOLOv7, and GLIP) to start, but could use your help measuring the performance of others on this benchmark (check the GitHub for starter scripts showing how to pull the dataset, fine-tune models, and evaluate). We're very interested to learn which models do best in which real-world scenarios & to give researchers a new tool to make their models more useful for solving real-world problems.
Engineers get paid much better than sales on average. You probably don't want such a variable compensation structure
If he used "bags and food packaging films", it's probably polyethylene of varying densities. As far as plastics go, PE melts fairly cleanly.

What's your specific concern? That the artist could have breathed unhealthy fumes?
Tbh a lot of times when people say beginner they really mean “this is way easier than the way I’m used to, and that freaks me out because it means the old way is redundant, so I’ll claim this is for beginners”
Any grid that

1) can handle peak air conditioning load AND
2) has time of use pricing to encourage EV's to charge at times other than peak air conditioning load.

Can handle EV charging.

Palo Alto satisfies neither of those two conditions. That's the problem, not the EV's.
The download page randomly picks a mirror, so chances are you get an insecure connection. And the signature won't do much good if it's http or ftp too. For Linux it may work, but for Windows it doesn't.
I switched to Mac full time when I got frustrated with my Linux desktop having (far) worse support for Emacs keybindings than my work Mac. There was a certain amount of irony in it.
The algolia search is buggy sometimes, and hnrss would miss one or two posts for the front page

I think nobody is going test it thoroughly, it's not a big deal, just a bit annoying
In general, esketamine has been shown to have about the same efficacy as ketamine for Treatment Resistant Depression (TRD) and MDD. There seem to be some minor differences in bioavailability between esketamine and ketamine, but from experience, if one work, the other will, and if one doesn't, the other won't. Anecdotally, we've seen great results in a matter of weeks with patients who have had no success through numerous antidepressants, TMS, ECT, and other treatments.

There is a long-term trial now in its 4th year with esketamine (https://clinicaltrials.gov/ct2/show/NCT02782104). I'm not sure how much has been published yet, but early data I saw supported immediate relief and long term benefit over the 4 years.

In terms of it being a sinister ploy by pharma, it's definitely priced higher than its ketamine generic counterpart, but for the vast majority of our patients, ketamine treatment out of pocket (since its not covered by insurance) is absolutely unaffordable, and pursuing the insurer-covered version of treatment is a high-value option.
Another option is to try to find an old and super cheap laptop and use that instead. Maybe find one with a broken screen or busted keyboard or something that you won't care about.

Laptops basically have a UPS built-in.
I'll go one better: I had an Epson multifunction device. It ran out of magenta, and wouldn't scan.

I loved my Epson MX-80. Epson's future work, not so much.
Lol yeah. I figure those are common experiences anywhere ppl take their bbq so serious.

That’s why I do buy the idea that there’s a hard cap on the market size. I think all beers and wines tastes the exact same shade of gross.

When I say this, most ppl think I’m being an edge lord or I’m just a stupid asshole. it’s practically attempted murder!

“MONSTER!”
“HOW DARE YOU?!”

As a Texan, just the thought of fake meat gives me indigestion. Im nauseous just writing this. My stomach won’t stop gurgling.

My morning is in ruins.

I do believe in some states of the US it was more popular, but I don’t think it’s everywhere. I bet you that as per usual it’s the red-blue divide.
Nah, johnb, erg and others are putting in a lot of effort. Join the Discord if you want to keep up to date, QxJYZx3QDf.
Ah, so it was a specific failure along with a specifically bad design. THAT I get. I'm thinking of the Toyota's, Fords, Chevy's, Nissans, Mitsubishi, Internationals, Chryslers that I've owned. You know, mostly non-terrible cars :D
I made this same transition from data science to data engineering about 18 months ago and I've never looked back.

I hated working with bad code and dealing with arrogant phds who don't value good code. I've seen so many terrible Jupyter Notebooks just copied and pasted into VS Code and the data scientist just washed their hands of it calling it "production ready." Here's a conversation I've had multiple times:

Me: have you ever considered not making every variable global scope

Them: that's just software engineering. We do machine learning

Me: if it's just software engineering, then why can't you do it?

Meanwhile, automated data science tools are getting halfway decent. If you know what algorithm to pick and you don't need to run millions of records through the model every minute, your standard business analyst could probably get a solid model going--at least as well as most data scientists for all the reasons the article mentions.

And I like that I know I can do data engineering. With data science you can never really know if you can hit your target metrics given the data you have. So data scientists end up encouraged to fudge their results or make sloppy decisions. With data engineering I can say "yes this is doable or no that's not" and people believe me.

My prediction: there's value in the massive volume of data but most of it can be had through standard dashboards, some summary statistics, a graph network, or maybe a linear/logistic regression. Most data science is BS and companies aren't getting the return they need to pay for these guys. (And good God, you almost certainly don't need a neural network.) Meanwhile, data engineering will get integrated into software development, and machine learning—by virtue of its proliferation through academia—will just become another tool for software developers. Data scientists won't get laid off enmass but they will go the way of the webmaster: either pick up new skills and evolve or move on til they end up with new titles
There are varying degrees of “non-technical”, and you lost most of my family at “scan a QR code”
If Apple's value proposition is 'Just manually unsubscribe + resubscribe' then they have a problem.