skysight-inc/HackerNews huggingface dataset:
It's also possible they didn't have a clue and just took it on a lark, and only afterwards realized the magnitude of what they had taken.
Neatly skewered 3 decades ago in the Sunday funnies: https://www.gocomics.com/outland/2023/01/16

It is depressing how many of those comic strips are still relevant today.
"I'm glad you enjoy black humor! Here are some jokes for you: 1. Why was the math book sad? Because it had too many problems. 2. Why did the scarecrow win an award? Because he was outstanding in his field. 3. Why couldn't the bicycle stand up by itself? It was two tired. I hope these brought a smile to your face!"

The "preferences" don't seem to do much here.
The listed examples are very mediocre compared to Singapore though. Truthfully the US has no square mile of land that is comparable to the demographics and infrastructure of Singapore.
If you ask me they should also be forced to sell Windows Media Player separately.

Although I may be ok with no requiring them to port it to OSes other than Windows. But you should at least be able to gaze at the bytes without buying Windows.
Many corporate apps at HBO were written in HyperCard. Unfortunately I joined at the very end of that era, around 1996. I built a few things in HyperCard there, but it was clear by then that HyperCard was done.
I transitioned into an ML Engineer.

There are different types of roles in an ML project.

1. Data scientists - These are the people who analyze the data and prepare the models. They basically deliver a jupyter notebook to us

2. ML Engineer - We take the notebooks from the Data scientists and productionize it.

3. MLOPs - These are people take care of the required infra, basically the equivalent of devops.

Personally, for me I worked as a hybrid of Data scientist/Ml enggr. I liked being an ML enggr better.
When people talk about working with ML requiring a lot of math, what do they mean? That is to say, I have a degree in electrical engineering so I learned a lot of math. However, my programming career hasn't required me to actually use it since I graduated.

So I understand/"know" a lot of math. However, it would be tough for me to build back up to the point where I can, for example, solve differential equations again.

In a manner of speaking: Does a career in ML require a strong understanding/knowledge of math or does it require you to be able to solve a lot of math?
very thought provoking.

For me my goal is to be able to build out MVPs of ideas that I have. My learning style isn't abstract -- I need to get in the weeds. Seems like the best approach may be to start with tutorials then move on to open source
What percentage is the same?

Also, even if VW has a platform they still sell 10x less cars than Tesla.
Chemical leeching is a big issue with all plastics, afaik. That is, they leech chemicals that are not fit for human consumption in trace amounts into food.

I heard that a researcher investigated many bioplastics and other better plastics and found that none of them improved on this issue. They did in fact face enmity when enquiring about the matter. I don't have a source for this unfortunately.

I'd be very interested to see if this barley plastic improves on the issue.
Also for 3. you just added another supply chain issue and another thing to maintain and keeping up to date, which is probably worse
Microsoft forced anyone wanting to buy the Office suite to also buy Teams. That's actively harming customers, because they didn't get the choice to pay less and only buy what they wanted (which is just Office).

Once customers bought Office+Teams the cost of using Teams is 0, because they paid for it. How can competitors make a cheaper product then? You can't get cheaper than that! Even if someone wanted to use your product they most likely would still have to pay for Teams by buying Office.
I invested up to $10B.
Agreed. Totally. Also, the "whimsy" is - I believe - indicative of something deeper ...

PS. Incidentally, "lightheartedness", humor, might just be the ultimate Turing test.-
CPU Flame Graphs
LLM AI Tools and the Origin of the Delphi Name
Here in the EU I don’t think you can go cash only as a business. It’s just not an option.

I’m ignoring checks because those aren’t a thing anymore. Only people in their 70s might still use them.
The Disappearance of the Chinese Internet
Why not ban left turns on busy streets?
What's this about
You still haven't proven how those people making a living on .NET/Microsoft stacks careers are suffering. Habe you actually seen people suffering, like from war and poverty?

Also, dvelopment careers being "global" is mostly in theory. In practice it doesn't work everywhere. Some countries don't have global remote work opportunities due to tax and labor laws making that very difficult meaning you're stuck with what the local market offers. And those few global remote jobs get hundreds of applications so actually getting one is almost impossible especially in the current bear market.

There's no shortage of full stack developers globally willing to work for cheap. Competing globally in this race to the bottom is no good if you work in a high CoL area unless you score a high paying FaNG or scale-up but getting such jobs is insanely competitive that's not realistic for most people I know.
I think I was thinking more along the lines of if I'm looking for specific information or to get a condensed understanding of something

Different readable than the more flowing, conjunct readable than yours (which is the more typical use of it I concede)
already the tories are floating a compulsory draft for 18 year olds.
Rye like Rebol uses get-words for getting the value of the word, for example a function versus evaluating it.
Full-stack app (react and hono) distributed as a single import statement
I found a way to embed a full-stack app (@vite_js frontend + @honojs backend) as a single JSR import.

Here is a demo of @excalidraw running from @ValDotTown: https://val.town/v/pomdtr/excalidraw

I feel like this could become a lightweight alternative to docker for self-hosting.
Its not black magic. Its yet another one-off nat hole punch implementation. Absolutely no reason to even think of this when tailscale exists.
Your link confirms victor9000's point and contradicts your first sentence. The frontend libraries (the client-side database, the React and Svelte bindings, etc.) are AGPL, so your whole frontend that builds on them must be AGPL.
Most of the components used are developed by other companies such as Bosch, Continental, Magna, Autoliv, Marelli etc.

The car manufacturers build up their cars using these almost off-the-shelf components.
FYI, the entire book is free to read on the Internet Archive: https://archive.org/details/MythicalManMonth

(If someone reads it there because of my remark, please consider making a donation: https://archive.org/donate)
Thanks for the memory of oscar rising up singing I...love...trash!

(hello, fellow old!)
Americans might like the results; but they would take up arms against the big overbearing state and its socialism if anyone suggested any of the reality.
Brace yourselves: Black Friday is coming
You could try your hand at the following course and see how it feels? https://fullstackdeeplearning.com/course/ (I loved the experience.)

It is much more focused on the engineering than the maths of deep learning itself.
I think AMEX able to have higher fee because they're underdog in that market. For the same reason a lot of places in EU / UK dont like to take AMEX.
To be clear I didn't say "don't model" - models can have value but all models are wrong because the map is not the territory. That's a first order problem, any representation of something is not the thing itself and bears no requirement to continuously and accurately represent it.

Another first order problem is you must chose from all the data that is perceivable what is pertinent to model because you can't perceive and model it all (at least not in complex systems) - that 'is perceivable' and 'choosing what is pertinent' act as filters that rarely are questioned. How do you know that 'what is pertinent' hasn't changed if your only way to reason about the system is through the model itself? How do you know you aren't perceiving something more relevant? Designing models to be sensitive to what we mean and not what we've stated is a very hard problem. The state space of reality is far bigger than we can sense and store.

A second order problem lies in human propensity for low energy states, when given a model or a metric we'll champion it as the truth or the way because it is easier than facing the complexity - but complex systems are crafty they adapt continuously. For example, your boss wants 100% test coverage and a dashboard has been created to report it to them... Fine, we'll test the getters and setters, we'll modify the dashboard code to ignore certain files, we'll write pointless tests that just exercise code but make no assertions... etc. They likely won't check provided the dashboard keeps reporting what they want to see.

Another second order problem is in complex adaptive systems the act of measurement changes the behaviour of the system itself. We know this intuitively, pull out a camera and start recording some strangers who were going about their business.

As for "what should we do instead" - complexity is all about context dependence... so it depends? If you are in a complex adaptive system, get involved! You can't know it all - so have fun with it.
If you read the article it says why - because he didn’t do it
Time to re-read "Fall, or Dodge in Hell".

I feel it might be more unsettling than when I read it ~5 years ago.
Not specific to Ducks but S3 select https://docs.aws.amazon.com/AmazonS3/latest/userguide/select... can filter Parquet server side on S3 and is supported by some other object stores.
Isn’t Twitter/X way in the hole financially? In what way has it made a quick buck?
Flame Graphs: Making the opaque obvious (2017)
I was a MLE Tech Lead at Snap and laid some of the foundations of the generative AI infra at Snap. I would highly recommend MLE route as a very rewarding career path.

This book is a very good introduction to designing Machine Learning Systems for production: https://www.amazon.com/Designing-Machine-Learning-Systems-Pr...

This blog by the same author is highly recommended as an intro into building production grade AI and ML systems: https://huyenchip.com/2023/04/11/llm-engineering.html

To summarize answers to your questions:

(1) Yes it is wise to do this transition especially at an inflection point in the zeitgeist of the times as now

(2) Yes

(3) See above for resources on how to get started and reach mastery in the craft of ML Engineering.
For the nostalgic... https://github.com/glreno/oneko

packaged for debian :)
99% of my “frogs” are forced upon me by the government. The author does not lose a single word about how to avoid eating THAT kind of frog without being forced a much bigger one down your throat later.
> Russia picked Telegram

With some amusing exceptions: doctors are exclusively on WhatsApp; older (60+) people are often only on WhatsApp (and pre-Microsoft Skype before that).
More Covid-19 patients died in understaffed hospitals, new data show
Actual flips? If so, that's an easter egg I didn't manage to trigger.
This doesn't just hide the AI panels, but also the big knowledge graph panels that appear at the top when e.g. some movie happens to have a name similar to our search query.
Carmel Indiana is an example of focusing on growth.

* They didn't do austerity. The whole low taxes run the place on a shoestring wasn't the game. Carmel did not do extravagant government buildings until they were affordable, and paid for by the development around them. For a long time city hall was almost a re-purposed dentist's office.

* Carmel did not invest in poverty. Carmel pushed it out of town. Now it is extremely wealthy per-capita.

* People laugh at the sheer number of roundabouts, but those have had a huge effect on public health by reducing both the frequency of accidents and more importantly, most accidents are now lower speed with less damage to life and property.

Yes, Carmel took on a lot of debt. Yes, they invested that debt heavily in making Carmel a nice place to live and work. jim Brainerd, the mayor, knew one thing the article missed: if you are growing, the tax base is always expanding. Carmel was also extremely long-game focused on development: as bonds mature, tax abatements and incentives expire in a way that will enable rapid retirement of the debt.
A terminal-based Bluetooth manager for Linux
Which means they need hand those costs to the people who actually get a mortgage, meaning you’re probably paying closer to 500$ than 150$.
Do you have any specific examples of this happening in the cities listed in the article?
Corry Wang wrote a fascinating twitter thread on tech in China a few days ago, and it includes:

> What does the internet look like without the web? Apparently, China. I don't think I saw a single person open a browser at any point on my trip...

and goes into more detail from there. Well worth reading. It aligns incredibly with this article.

-- https://x.com/corry_wang/status/1804828474558877955
Everyone has laptops now though. Nobody's gonna carry a Mac studio between home and office. And if you're gonna use your Mac just as an SSH machine then you'll remote to a Nvidia data center anyway not to a Mac studio.
One Year Since Germany's Nuclear Exit: Renewables Expand, Fossil Fuels Reduced
IndexedDB is a key/value store; DuckDB is a relational analytic database. You would use IndexedDB for something like application data, and DuckDB for (e.g.) a data-heavy dashboard or ad-hoc query tool.
> The right time to access secret stores is just before you start the container as part of the deploy process or vm startup in cloud environments.

So how do you rotate secrets without bouncing app servers..?!
You can use PyTorch for more than ML. No need to use backprop. Thinks of it as GPU accelerated NumPy.
I would recommend understanding the ML algos at least on a conceptual level. And to use them "raw". It's nowadays quite straightforward with e.g. the transformers-library.

The maths in ANN ML aren't that hard, and you don't need to understand them very deeply even to come up with new models. A lot of the new model development is just stacking pre-built layers with torch.nn.Module.

The difficulty comes from getting the beasts to actually work. But it's largely trial and error for everybody.
Parquet is designed with predicate push-down in mind. Partitions are laid out on disk, and then blocks within files are laid out so that consumers can very, very easily narrow in on which files they need to read, before doing anymore IO than a list, or a small metadata read.

Once you know what you are reading, many parquet/arrow libraries will support streaming reads/aggregations, so the client doesn’t need to load the whole working set in memory.
Apple thought the risk of including it was too high because of the DMA.

Users in the US and the rest of the world do have it.

And we talking about the same EU government that every other year tries to make it a law that there must be a backdoor in messaging platforms?
> Microsoft forced anyone wanting to buy the Office suite to also buy Teams

True, but that also applies to every other single app and service that they are bundling with the subscription. I only want Excel but I'm also forced to pay for PowerPoint. And how deep should we go? Should they be forced to turn Edge into a paid product you have to buy separately? They crippled if not outright killed the consumer anti-virus industry by starting to bundle Windows Defender/(whatever it's called)? That certainly wasn't fair to McAfee/Norton/Kaspersky/(any other shovel ware provider) but did it hurt consumers? One might argue this would also apply to [File] Explorer and every other basic app.

How is the situation with Teams at all different and where exactly do we draw the line?
These are companies that might never treat "software" as a core part of the product, and mostly manage it as a cost center.

The fact that VW invests in Rivian so it can potentially "use" its software is pretty telling in my opinion.

It's hard for companies to change that though. I think Apple did it well. AMD still needs to do it fully.
On that note: "nobody" (nobody commercial, providers) wants "organic" results anymore. They want "filtered", algorithmic, "suggested" and the like. Besides, if their "secret sauce" algos are so good (such as they indeed are) at determining what will hit you the best, with the best likelihood of "engagement" (for whatever that is for the system in question), any extra effort put beyond the very few, first, results, is an inefficiency, and adds cost, so ...
That sounds to me like Americans aren't that bright, or they've been tricked by typical party propaganda.

Cities need investment and if Americans aren't willing to invest in the places that they live, so they deserve nice things?
The (post) title mentions a Rust library, I see code in TypeScript, and the installation instructions involve Python. Frankly, I am confused.

EDIT: To make it clear, my point is that the description could have been clearer, especially regarding the Python dependency.
We're already most of the way.

> In response to a legal request submitted to Google, we have removed ${n} result(s) from this page. If you wish, you may read more about the request at LumenDatabase.org.

> Some results may have been removed under data protection law in Europe. Learn more

You'll also get diversionary messages for certain queries (e.g. if it thinks you're suicidal)
IndexedDB should have been SQLite, but for various squishy reasons it isn't, it's something less good.
I also just learned about it. I found this explanation of what it is: https://drup.github.io/2016/08/02/difflists/

It's a slightly confusing name, though; it makes me think of a difference list, which seems to be a completely unrelated data structure (basically a rope).

http://h2.jaguarpaw.co.uk/posts/demystifying-dlist/
FICO already tells you what goes into their scoring algorithm. It's not a mystery.

https://www.myfico.com/credit-education/whats-in-your-credit...
Search engines are an engineering problem. Tuning ranking and relevance to be “good” on a mass-market content site is an unholy black art.

The expectation is that results will accomplish numerous mutually contradictory goals, and be deeply personally relevant to a user who has used the search bar twice ever.
British Airways blames T5 luggage chaos on fault 'outside of our control'
Great question!

1) Depend on your own goal. Its wise if you believe in the future, market appreciate ML eng higher than software eng (within same years exp)

2) Yes. I did (> 3 years now)

3) Start find the ML job

Is there an ML engineering practice that isn't focused on building models but more on managing/deploying/scaling models?

Yes. Companies who adopt ML at large scale usually need this.

i.e. can I avoid learning all the maths underneath?

Yes its possible as long as you are focusing on infrastructure. Eg: create/monitoring pipelines, models, etc.

Noted: While you finding job, try to take professional ML engineering certification/program (Google, AWS, Azure, etc) - they will provide you hands-on lab experience with some case studies. The cost is super cheap
> At the end of the day it should only matter if Microsoft's practices are hurting consumers rather than their competitors.

MSTeams hurts users 24/7 around the clock.
I'm not sure. What's an example of a more important distraction?

And is a real hacker anything like a true Scotsman?
Those counts have always been wildly inaccurate, to the point that engineers on the team were embarrassed to be displaying them, but product people felt it was important to the user experience anyway so kept it. Nice to see the engineers finally getting a win there.

(I worked on Google search like 15 years ago. I'm assuming they haven't found a way to make the estimate any more accurate, since it was seen as intractable at the time.)
The R3 is definitely going to be the thing that gets them into Europe. It looks fantastic and actually fits on our roads.
Americans wouldn't tolerate the Singapore rules on cars or firearms, despite those being important factors in the Singaporeness.
But the basic digital regulations are still missing:

Enforcement of noscript/basic (x)html interop (no massive and grotesquely complex big tech web engines required), minimal file formats (for instance utf8 text), png for images (I have suspicions of unstable complexity with webp).

This is not perfect, and sometimes there is kind of nothing: printing oriented file formats is an issue: pdf/ps. PDF was kind of highjacked at ISO by msft putting complexity at its core, even "programming complexity" there.

I wonder how complex are PS/PDF(max 1.4 I guess), because you know big tech wants the possibility to code a _real-life_ alternative to be a nightmare.
Feedly allows subscribing to YouTube channels.
The thing I hate most about the new version of Teams is that it flashes the taskbar when a new message is received. You can disable the pop-up notifications, but that doesn't affect the flashing taskbar for some (??) reason. The old version of Teams didn't work like this, it was possible to turn off all notifications & alerts so that you only got notified when a meeting started or somebody @'d you.

You can go into do-not-disturb mode to stop the flashing, but then pings aren't delivered and you can't do 1-on-1 calls. So there's a pretty significant tradeoff. I wasn't able to find a way to disable them any other way (registry hacks I saw recommended online didn't work).

This sucks because if I see the taskbar flashing, I MUST go and check out Teams. It's too distracting to leave on. So there can't be a background group chat where I'm not taking part and doing other things -- I get dragged into checking every message which is extremely annoying. I suspect that 'immediately check out the app causing the taskbar to flash' is basically a conditioned response for most computer users so I doubt I'm the only one who feels this way.

----

I also strongly dislike the vibe of the Teams emoji set. The :) looks like it's playing dumb, and it adds that connotation to messages I see from people using it. (admittedly I've only seen it be used by my dumb coworkers)
A lot of places have all those problems, without the competence.
I don't remember where I read it, but wasn't like a majority of relativly big companies operating servers customers of Red Hat?

I do know my mother is a customer with her business
Engagement like your comment is why it is on the frontpage.
Don't. Most of these roles are not ethical.
> Carmel did not invest in poverty. Carmel pushed it out of town. Now it is extremely wealthy per-capita.

What exactly does that mean, I'm reading it quite negatively, but the rest of this is positive, so I might be missing your true meaning.
Users running malware infected extensions from Chrome Web Store
If something is compromissed you have a problem, whether with encrpyted key or something else.

If your env-data is compromissed you have to set new in all services and restart your app / container.

But the enc-env file could be shared in you team or published to server without any problem. In the past this was a problem, when publishing accidently with plain text passwords.