skysight-inc/HackerNews huggingface dataset:
Russel Brand has just had a number of sexual assault allegations made against him [1]. I would assume Youtube's decision is linked to those allegations rather than the content of his channel, since his channel content has been pretty consistent

[1]: https://www.bbc.co.uk/news/uk-66838794
Has anyone ever tried downvote only?

I use downvotes rarely, usually if something is flat wrong or seems to be unhinged or trolling. If most people did likewise a downvote only might be akin to a naturally ordered timeline but with crap removed.
Go is such a weird language in a sense it is so opinionated and so non opinionated at the same time.
> I don’t believe that natural language is an adequate medium for conveying instructions with the precision required for many applications.

Not clear to me if the author actually uses LLMs to do meaningful work, or is speculating about how they might be used.

I've written about 2500 lines of F# for the first time in the past 1.5 weeks using ChatGPT-4 to guide me. It has been an constant back and forth, iterative process. My decades of development experience factored in heavily to guide the process. I would've have been at maybe a quarter the progress without ChatGPT, or given up entirely on F# as my language.

I don't think that iterative aspect will be eliminated any time soon for AI-supported complex, creative processes. It's no different from tweaking inputs to a Photoshop filter until your experienced brain decides things look right.

To that end you need to know roughly what looks "right" before you use an LLM. This will all become second nature to the average developer in the next 5-10 years.
What's New in Affinity?
He's still around:

* https://en.wikipedia.org/wiki/Peter_G._Neumann
I agree with you that the general optimism towards quantum computing needs some tempering. It is certainly possible it doesn't work out and we never get a universal fault-tolerant quantum computer.

I think part of the reason for optimism is that there are a lot of different ways to make a quantum computer. Ion traps, linear optics, resonant superconducting circuits, topological quantum computing (if anyone ever actually discovers an anyon) and many more.

Different groups are working on wildly different directions right now, i.e. Google and IBM are doing superconducting stuff, microsoft loves topological stuff, researchers at various places are doing trapped ions and at least one company (psi-quantum) is working on linear optics.

It certainly wouldn't be surprising if several of these approaches fail to work, but the hope is that they don't all fail.
Not necessarily. There are people who use tofu as substitute for mushrooms. So I've seen it mixed with meat.
I used to think like that. Soft science = dubious, hard science = ok. Not any more though. Just recently there was LK99 in materials science though, which was pretty much the textbook definition of an exciting but non-replicable claim.

Also a lot of stuff is tough to classify. Are epidemiology or climatology "hard" sciences?
This one?

https://web.archive.org/web/20070126133854/http://www.nissan...
You trust health authorities? Come on.
AGPL is seen as a no-go by most companies. It's viewed as risky because the obligations associated with it are often unclear.
But they’re like, genuinely wild decisions? Unhinged is a great description!

The error design can return the value, or an error, or both, for some inexplicable reason and you can check it - or not - and if your function returned some indication of severe error, and you happen to not check it, you can totes just continue your program, in who knows what invalid state. Oh and also, because the devs are apparently deathly allergic to abstractions of apparently kind, you’ve got to do this janky little if err != nil check at. every. single. point. Which occludes your fundamentally important logic in pointless line noise, with zero opportunity for streamlining or improving the logic or guarantees.
+1 you beat me to the punch! I think its helpful to start with simple RL and ignore the "deep" part to get the basics. The first several lectures in this series do that well. It helped me build a simple "cat and mouse" RL simulation https://github.com/gtoubassi/SimpleReinforcementLearning and ultimately a reproduction of the DQN atari game playing agent: https://github.com/gtoubassi/dqn-atari.
This is an excellent article.

>> Every pentester knows that multi-step sequences are a hotbed for vulnerabilities, but with race conditions, everything is multi-step.

This is something that we spent a lot of time thinking about and why we decided to upgrade SocketCluster (an open source WebSocket RPC + pub/sub system https://socketcluster.io/) to support async iterables (with for-await-of loops) as first-class citizens to consume messages/requests instead of callback listeners.

Listener callbacks are inherently concurrent and, therefore, prone to vulnerabilities as adroitly described in this article. It's very difficult to enforce that certain actions are processed in-order using callbacks and the resulting code is typically anything but succinct...

Some users have still not upgraded to the latest SC version because it's just so different from what they're used to but articles like this help to confirm our own observations and reinforce that it may be a good decision in the long term.

For all of its benefits, though, one of the gotchas of a queue-based system to be aware of is the potential for backpressure to build up. In our case, we had to expose an API for backpressure monitoring/management.
Enjoy it while it lasts. Tracking companies will probably start signing or obfuscating URLs.
Youtube is a subsidiary of a publicly-traded company, it is non-essential, largely unregulated, and for-profit. This is very different from what is considered a "public utility".

https://en.wikipedia.org/wiki/Public_utility

If you want to argue that Youtube *should* be considered a public utility company and subject to more stringent government controls then that's a debate that can be had, but as it stands they are not legally obligated to continue doing business with someone they believe to be harming their other customers and partners.
I disagree, but the style isn’t for everyone.

However, that still doesn’t mean that it’s wrong.
Speaking as someone who just goes downstairs and makes a sandwich, or who takes some to work, ordering lunch seems absurd to me. Is it that cheap in the US / do you earn that much? Food culture is so weird over there.
Europe's pollution divide: see how your area compares
Off the top of my head:

- Binding a port to a running container

- systemd/init daemons inside a non-privileged container

There is a lot more I've run into over the years though, despite often being considered peers there's some fairly big architectural differences under the hood.
ElixirConf 2023 – Chris McCord – Phoenix Field Notes [video]
I agree with this and often even find myself leaving drafts around to read, re-read, and edit as I flesh out the ideas and thoughts in my own brain.

Writing in long form is its own process of mental synthesis.
No, no. We're talking about food delivery here, which is a purely luxury need and market. This is not a problem tech needs to solve.
Unless that AI breaks speed of light, the distances to acquire additional resources will be relatively prohibitive.

The moon lacks a lot of rare earth minerals required to make modern transistors, for example. The AI would have to set up shop in asteroid belt or Kuiper belt or Oort cloud, and except for the last one it limits available energy by quite a lot.
So I have an update! I bought the HiBY R2 II directly from their website it shipped immediately (on a weekend!) and I had it in my hands (in Ireland) less than a week later. It's basically everything the Shanling Q1 should have been. It's slimmer, almost half the weight, has a sane OS (so there's no need for Rockbox) and sounds great. Also had better battery life than the Q1 and you can play/pause using an inline remote on your wired headphones (and yes, Shanling screwed that up too). Bluetooth is rock solid. All in all I love it. I can even sync my music and playlists to it with MusicBee (on Linux) with very little messing around, and with a huge SD card it holds all my music.

Edit: the walker was my next choice but I thought they were discontinued? Anyways, the HiBY is available.
On a tangential note, TIL there's a field of mathematics called "digital topological groups": https://doi.org/10.1016/j.topol.2023.108644
Or the even more efficient and eco-friendly "make and bring your own lunch", but somehow this isn't considered, instead it's a long thread of drones vs cars vs mopeds and low-wage delivery people.
Java has never had this problem with variables (either in a for loop or free-floating ones), since Java has never had support for closures.

There is one somewhat similar problem in Java that you're maybe thinking of: anonymous classes that reference fields of the current object. I don't think that behavior is surprising, and there are very important use cases for it.

What Go is doing is perfectly sensible. The ability to capture variables is extremely powerful, and often desired. It's just the unexpected scoping of loop variables that introduces a problem. The following code is doing exactly what most people would expect, for example:

a := 0
incr := func() {a += 1}
print := func() {fmt.Printf("%d", a)}
print() // prints 0
incr()
print() //prints 1
Surely those companies can pay for an alternative license then?
honestly, this sounds like something a depressed person would say. Get some sleep, exercise, outside time, good food, and social contact. It really helps.
Switzerland still seems to have significantly higher average salaries than US?

$90k vs $56k

Of course if you start comparing individual states it would be quite different.

I think a lot of the tables which compare household income etc. are PPP adjusted and CoL is quite a bit higher in Switzerland
Elephants on the march across African borders as heat stress leads to fatalities
Wait, this must have been just before I entered the industry. What was Google's rationale? Didn't they start out determining popularity by reference count?

Edit: Ooh, I see. Interlinking clusters were considered fraudulent references.
My prediction: knowledge will start to be reformatted into an LLM directly and knowledge providers will stop publishing it otherwise. Thus the chat interface will both improve and protect knowledge access once the traditional formats are not published anymore.

This will come together with the downfall of search, a prime driver why so much knowledge was published on the web. Search will start to drown in an explosion of generated AI content, and the case to publish your knowledge for the sake of SEO marketing will diminish.
I don't think the implication was that only Leave lied. The point is that there was a clear plan of action if Remain won, but nothing of the sort if Leave won. That means that no one really knew what they were voting for beyond the technicality of leaving the EU.
If I was dead set on using pdf as an interchange format, I'd make the standard that the pdf content was a drawing of the data and then also embed a better representation of the data. So a well formed file can be previewed with any pdf reader, but no problems with data quality when you go to use it for something.

Of course the drawing could then be out of step with the data, but so what.
Force touch was the single most undiscoverable UX ever invented. Wonder how many iPhone users upgraded their devices multiple times without ever realizing it's a thing.
What does the loop and sleep 1 do? Is that to respawn upon crashes (why'd it crash?) or does it exit socat after handling a request?

I recently made a netcat webserver returning only one static response just to have a tiny info page for my new email server, that needs a while true loop but no sleep. I then benchmarked the performance and was very surprised to find that a slow VPS manages [spoiler answer] https://lgms.nl/p/cau/?b64&bY%2FBTsQwDER%2FZbivViDxAxw58Q1pO... Performance graph: https://snipboard.io/Vtn0MO.jpg
I believe the SSB (Statistics Norway) numbers are more like ~10% for food and non-alcoholic drinks [1], it depends a lot on what you look at. Culturally the Mediterraneans have a very different relationship to food - but looking at Eurostat, we're basically on the low end of average [2]?

(Also, the VAT reduction in light of the recent govt-assembled expert panel arguing for the exact opposite as one of the best ways of taxing high-income high-consumption households without hurting lower income groups is... fun.)

--

[1] https://www.ssb.no/nasjonalregnskap-og-konjunkturer/nasjonal...

[2] https://ec.europa.eu/eurostat/web/products-eurostat-news/w/D...
I'm old school and write all of my HTML by hand in BBEdit: https://www.barebones.com/products/bbedit/
Wasn't that Micheal Jackson, King of PostgreSQL?
> I shed no tears for them and their rich founder who posts tweets of his solo flights to visit his rich friends.

Couldn’t keep out a personal dig at Mitchell, who happens to be one of the most unproblematic people at Hashicorp and certainly doesn’t care or participate much in governance ? Seems like a lot of personal feelings were packed into this innocuous-posturing statement.
Are you thinking of Hyrum's Law?
We legally immigrate about 1 million people a year, it's the illegal immigration that people take issue with.
Perhaps there's part of the prompt that tells GPT not to tell users details about written words to avoid embarrassing copyrighted text leaking out, but the prompt is slightly too strict and lets GPT also not talk about 'open' texts? Pure speculation.
Almost everyone in Europe is breathing toxic air
It's not just people who struggle with text who benefit from listening to someone speak.

I am extremely introverted, I struggle to identify facial expressions, I am highly adept at reading, and I'm also a bit hard of hearing (what I think may be a verbal processing disorder in my brain, because I have had several hearing tests and they have not been able to find anything wrong). You would think this means that I agree with the author of this article.

Yet I find verbal communication still very valuable when it is paired with facial expressions and body communication (especially hand gestures). Some concepts are extremely difficult to get across without these additional elements.

There have been many times that I've read extensively about a topic and struggled to imagine what they are describing, then watched a YouTube video of someone simply standing in front of a camera and describing the topic, and only then does it finally click for me. It goes the other way, too, of course (hearing it first without understanding and then reading it to have to click), but it suggests to me that both are valuable for understanding.

If I had to choose only one, I would choose reading. However, being limited to only reading would reduce my ability to learn about complex topics.
For LinkedIn I found a script online which unfollows everyone. Now when I open LinkedIn it just shows default adverts.
Opensearch
> capitalized on millions of hours of free work from unpaid contributors

Does this hypothesis really hold up? In my experience the contributor community remains small and often even dormant compared to the userbase of an opensource project only to take action if the project itself gets in turmoil (main developer leaves, bad takes on features etc.)
Crackdown on Undeclared Income Tax from Buy-to-Let Landlords by HMRC
HMRC is intensifying its efforts to uncover undeclared income tax from landlords, with an 83% surge in cases during the 2022/23 tax year.
The court did decide that the artist could deduct ~6k USD as commission when returning the stolen money.

The limited traction they'd get from this story and empty frames would already have played out - that 100k USD can do more good as commission to other, actually skilled artists for future works than padding one greedy criminal's pockets...
A somewhat obvious case is this:

.
├── subdir
│ └── test2.dat
└── test.dat

1 directory, 2 files

If you don't use double quotes then the shell will expand test* to be test.dat and the final command will actually be:

find . -name test.dat

...so the file named "test2.dat" in the sub-directory therefore won't be found.

Instead of using double quotes you can escape the asterisk so it won't be processed by the shell, e.g.

find . -name test\*
Not mine originally but "always check your inputs"
strongly resemble is fine (maybe encouraged?). These stores do not claim Apple copyright and also advertise themselves as resellers. Also, being a premium reseller, they do handle warranty (regardless of whether you bought the product there, in another store, or from another country).
This sounds big. Can some mathematicians please weigh in.
CDKTF is wonderful.

Stop struggling with HCL files, there is a solution.
2-3 grant for a month of delivering parcels. How many parcels. 500? 1000?
Thats 2 to 6 dollars per parcel. Goodluck bringing your costs down to that level with drones.
The 5th circuit court of appeals found that there was coercion. Read the first 5 or so pages and the last 5 or so pages, specifically that it upheld the unconstitutionality of provision 6 and at the end it lists the offending agencies.

https://www.ca5.uscourts.gov/opinions/pub/23/23-30445-CV0.pd...
One man's fluff is another man's.. recommendation algorithm?
Ivy attracted 1.2K contributors and 15K+ community members to their OS project
In this podcast episode from Churn FM, Dan shares the unusual way Ivy's open-source project attracted over 12,500 GitHub stars, 1.2K open-source contributors, and a Discord community of 15,000+ members.

I'd be keen to hear what the community here thinks of their approach.
A sociologist discussing modernism can offer many insights for startups as well
I just stopped carrying a smartphone. Problem solved.
http://0x0.st/HOwY.png
Whether or not you can develop the code directly on a windows host is highly dependent on what kind of code you're writing, and what environment it's being deployed to. It's the recommended way to do virtualization these days on Windows, and if you develop using docker, you have to use WSL. Even in cross-platform interpreted languages like python, if you have third-party deps, not all of them are available on windows, nor do they always work there. Basically, if you're deploying to a linux server but developing on the windows host machine, it's not a question of "if", but "when" you'll run into a problem, etc etc etc. And this is just the "easy" case, where everything is theoretically cross-platform; when you start getting into things that involve proprietary compiler toolchains or specific hardware targets, you don't always have a choice what platform you work on at all.

Put more directly: I don't think any of my previous employers would have had a problem with me developing on a windows machine, as long as I was running the code in a virtualized environment that matched production. But it wouldn't have been acceptable at any of them to run the code directly on the host.
I was hoping for some clever ideas about direction of software / UIs, and new use-cases for LLMs / AI, since for now I'm still struggling and have a lack of vision, it seems.

For example, I work on developing a logistics management and route optimization platform. If I try to envision new features that could be unlocked through AI or just LLMs, I basically get nothing back from my feeble brain, that I would fit into this category. E.g. - automate incident handling (e.g. driver broke down, handle redirection of other driver, handover of goods, reoptimize routes) - but the implementation would be just a decision tree based on a couple of toggles and parameters - no AI there? Other things that come to mind - we already use ML for prediction of travel times and service durations - it's a known space, that I refuse to call AI.

Apart from serving as an alternative and sometimes more efficient interface for data queries through NLP (e.g. "tell me which customers I had margin lower than 20% on, due to long loading times and mispackaged goods" - even then, all the data already needs to be there in appropriate shape, and it's just replacing a couple of clicks), I really fail to see new use-cases / features that the current state / hype for AI / LLMs unlocks.

Am I just lacking vision? Are there opportunities I'm grossly overlooking?
Just FYI - Pihole won't block video ads on Youtube on your TV because it is limited to DNS blocking. Youtube is structured such that blocking the necessary domains would block all of Youtube.
That would be easy to check. But are people really that desperate for virtual points?
Yeah, I'm lost.

Terraforming is a sci-fi concept for making planets viable for life......

What's the other usage?
It's definitely less clear though, in that it involves an if statement with an assignment, three temporary variable declarations, etc. Also, type inference won't detect the type of the output automatically from the transform function type, and this of course assumes you wanted to collect into a slice, but it could be a set, or a list.

For some operations, the Go style of explicit, mostly in-place mutations produces more complicated code. Whether that's balanced out by the code being "simpler" is not clear to me, but I haven't worked with Go.
How to Build an Accordion Component with React.js
I’m really interested in a Kafka like message broker in the Go ecosystem and look forward to checking it out for whatever my next project ends up being.
My guess is that LLMs will become an absolutely incredible tool, to the point of being indispensable, for software developers. This demographic is highly biased and often magnify their usefulness based on that. For everyone else, they will continue to be an advanced search engine / copywriting assistant.
It doesn't change the overall point you're making but your "gut feeling" was already wrong 20 years ago. A group working for IBM factored 15 = 3x5 with a quantum computer in 2001.

You are also somewhat wrong about the combining N approximate answers and combining them. It is correct that that the "repetition code" approach (repeat the same calculation a bunch of time and average the results) does not work for quantum computers. However there are quantum error correcting codes which do appear to work, although they require sufficiently small initial error rates (so-called thresholds) in order to help.
It's a one-shot awk script. Handle one request and exit.
“Ecosystem” means advertisers.
> 1 million a year buys a lot of development and operational

Not all that much. At a global enterprise, for instance, that buys a couple senior systems engineers with SDLC experience after you include all the per-employee overhead that doubles their cost beyond their comp.

Terraform saves the enterprise far more than that in overhead. If Terraform provides even 10% lift across 1000 seats, that's many times its cost.

At a million a year, you'd need it to save you between 2 and 4 headcount to break even, not counting the compliance/audit/security benefits.
Or just exchange 1000 USD in INR at nearest Western Union counter for way minimum fee than that. A better option than giving out your personal info and biometrics.
Python does actually have a single instance of sub-function scopes: When you say `try: ... except Exception as e: ...` the `e` variable is deleted at the end of the `except` clause. I think this is because the exception object, via the traceback, refers to the handling function's invocation record, which in turn contains a map of all the function's local variables. So if the variable worked like normal variables in Python it'd create a reference cycle and make the Python GC sad. So if you need that behaviour, you need to reassign the exception to a new name [0].

0: https://docs.python.org/3/reference/compound_stmts.html#the-...
But you have to take into account the low-paid worker’s environmental impact! You can’t beat an autonomous EV’s eco-friendliness. /s
Send me location.