skysight-inc/HackerNews huggingface dataset:
Initializers for members are _always_ run in the order the member is declared - this applies even in constructor initializing lists, see https://en.cppreference.com/w/cpp/language/constructor#:~:te... - it doesn't matter what order you declare the initializers in, and clang will warn you if you write your initializers in an order other than what they will be executed in. Designated initializers are the same way, it's probably best that the behavior is consistent across methods of constructing.

Why is it this way? As best as I can find it's so that destructors always run in reverse order of construction, I guess there could be some edge cases there that matter. It's not the strongest argument, but it's not nothing.
Ok, so why was this such a nice read? Yes the repetitiveness was comedic but it was certainly not annoying.
Cover Your Tracks: See how trackers view the browser
> Higher wages in theory should be linked in higher productivity and output per worker in the US due to deep skillsets

I don't think this always have to be true, e.g. I'm polish and used work in uk and by crossing border to uk overnight I increased my salary 2-3x but that doesn't mean my productivity increased 2x.

You want to google concept called "Dutch Disease", an economic phenomenon where a resource boom (like oil) causes currency appreciation and decline in other sectors. Norway and the Netherlands faced this issue.

Lyn Alden’s Broken Money argues that modern financial systems fail to protect savings. For high-income countries like the U.S., the issues include:

- Currency devaluation: Persistent inflation undermines wage growth.

- Debt reliance: Governments and households depend on borrowing, creating fragility

- Technological gaps: Financial infrastructure lags behind energy/tech advancements, exacerbating inequality.
catch up to whom? china? US? russia?
"Growing your own muscle mass" is an artificial goal that exists because of tools. Our bodies evolved under the background assumption that daily back-breaking labor is necessary for survival, and rely on it to stay in good operating conditions. We've since all but eliminated most of that labor for most people - so now we're forced to engage in otherwise pointless activity called "exercise" that's physically hard on purpose, to synthesize physical exertion that no longer happens naturally.

So obviously, your goal is strictly to exert your body, you have to... exert your body. However, if your goal is anything else, then physical effort is not strictly required, and for many people, for many reasons, is often undesirable. Hence machines.
> 1. Many accept Musk’s rise to power as good news.

Do they though? Also, many accepted the rise of [insert genocidal despot whose politics you disagree with] too.

> 2. I don’t see this change being forcibly reverted. The noise from those who don’t accept Musk will likely subside to a manageable simmer relatively soon.

I think you may underestimate just how hot it’s going to get in here.

> 3. Unlike Rome, this transition happened without an overt war, which is good.

So far… bloodless coups are only bloodless in retrospect.

> 4. Elon seems to me likely to succeed in making the U.S. more efficient and effective, based on his success with Twitter and his other companies.

What success with Twitter? While we’re at it, how are Boring Company, Hyperloop, the flamethrowers, and Musk Vodka doing?

> 5. Elon is likely to use his new power primarily to pursue his interplantary agenda.

I’m sorry, is this a positive or a negative? In either case it’s not going to work.

> 6. In empires, succession is often inefficient. Clearly Musk has positioned himself to succeed (preempt?) Trump. Who succeeds Musk? According to what process?

I’m putting my sword in for Trial By Combat, no champions edition.

> 7. It hasn’t happened yet, but Elon indicated he would return Twitter to a public company after reorganizing it as X. Is there a world in which he returns the U.S. to a republic once he has run his course?

No.

> This is a salient time to worship a deity other than Caesar.

I think it’s the perfect time to realize that worshipping anything or anyone is bad for you.
Founders; Be More Selfish
It's a bavarian/Munich accent.
Build successful SaaS products with user data
Another idea: AFAICS there have been a few memory-bw zen-related bugs reported to likwid and, in particular, https://github.com/RRZE-HPC/likwid/issues/535 may suggest that you could be hitting a similar bug but with another CPU series.

The bug report used AMDuProf to confirm that the bandwidth is actually ~2x than what likwid reported. You could try the same.
I did not downvote, but OP failed to provide a link to back up his claim, or to make explicit what "slowing decline by about 30%" even means.

In light of the fraudulent and scandalous approval of aducanumab [0] (which also targeted amyloid), such claims must be thoroughly referenced.

[0] https://en.wikipedia.org/wiki/Aducanumab#Efficacy
There are now a ton of competitors to it though -- it's become a new format for gaming PCs. Whether or not the Steam Deck itself is the winner, I think the form factor is here to stay. And I can't imagine why (as an owner of a Switch Lite and a Steam Deck) why I would want a Switch 2.
> I'm not willing to leave the company because its stock 6x'ed last year.

Then just try hard to ace your new task. Show that you repeatedly deliver value, also in more difficult situations.
"Put simply, using AI makes you worse at your job - precisely when you need to be better."

I don't follow.

Usually jobs require deliver working things. The more efficient the worker knows his tools(like AI), the more he will deliver -> the better he is at his job.

If he cannot deliver reliable working things, because he does not understand the LLM output, then he fails at delivering.
My suggestion was in an ideal world which sadly this isn't. Your issue suggests they aren't tailored for each application, which could potentially be a reason. It is better to show why one project makes you a great fit as opposed to how many projects you have done. Sometimes the person in charge of hiring may not fully have all the expertise in the area they are hiring for.
Yeah. You really want "mydb::sql" to not take a basic_string, only a basic_formatted_string, so it will not compile if the conversion actually happened somehow.
It is not just a problem with Pis, but also other use cases in which the SD card is used 24/7, or at least for long stretches of time, especially if the use case involves writing of data. Dashcams are also notorious for destroying crappy SD cards due to their high write load, for example.
Not a mention of 'COVID' anywhere on this page (thank you Ctrl+F). Surely, it had a role in how we got here, at least inflation-wise?

Has it slipped so easily from the face of History? Let's just hope its not a new pandemic that provides that final false-flag style push into fascism, as an excuse for suspending democracy. Those Republicans who will say one final time that we aren't a democracy ("we're a republic!") will be sorry for the seeds they have sown.
Flashlearn – Use LLMs with a simple fit/predict flow
Every time I wanted to use LLMs in my existing pipelines the integration was very bloated, complex, and too slow. This is why I created a lightweight library that works just like scikit-learn, the flow generally follows a pipeline-like structure where you “fit” (learn) a skill from sample data or an instruction set, then “predict” (apply the skill) to new data, returning structured results.

High-Level Concept Flow

Your Data --> Load Skill / Learn Skill --> Create Tasks --> Run Tasks --> Structured Results --> Downstream Steps

Each step results can be turned to JSON and reused later or elsewhere.

Installation:

pip install flashlearn
I have done this as well. I once got an travel insurance claim rejected by some outsourced handler and found out who the CEO of the insurance startup was. I emailed him and magically it got resolved
Anthropic is kind of positioning themselves as the "we want the cream of the crop" company (Dario himself said as much in his Davos interviews), and what I could understand was that they would a) prefer to pick people they already knew b) didn't really care about recruiting outside the US.

Maybe I read that wrong, but I suspect they are self-selecting themselves out of some pretty large talent pools, AI or not. But that application note is completely consistent with what they espouse as their core values.
Thank you, though I have a feeling that they get their data from their own sign up form.
My experience is that I've applied to companies where I was a perfect fit, but did not get an interview, and then I've applied to companies where I had not used any of the tech stack and still got an interview... There's a lot of wierd reason, one common is that they want to hire a specific person, maybe even in the company already, but they still need to post a job ad due to company policy. Or one where I got an interview even though I had no experience in their tech stack they explained they need to make at least 5 interviews before they hire and they had already found their guy so they interviewed other non qualified so that their candidate/friend would stand out as the most qualified... So never take hiring personally. It's just random. Do enough work to get an interview, many employers are very good at judging if you will fit in or not, so just leave it for them to figure that out, and be yourself. And don't take it personally when you get rejected. There's still a shortage of experienced software engineers, and lots of jobs to apply to Also if you get a bad feeling, just back out. It's when you've started turning down offers you have become good enough at searching/interviewing, and that's when you will find something great. Try to have at least 3 offers before you accept one.
But are there still mobile games worth playing when you have access to steam?
You've not fully comprehended the nature of productivity. If a doctor saves the life of a lazy labourer then they've created a certain amount of economic value. If they save the life of a very hard working labourer they created more economic value with the same actions [0]. Your productivity isn't just you, it is the entire system your work take place in and what capital it interacts with. Otherwise engineers would be worthless, we barely do more than mumble and wiggle our fingers.

It is entirely possible that moving from Poland to the UK doubled the amount of wealth you were generating. Dutch disease is an expression of that - if all your customers are wealthy then the economy signals that you are more productive than if all your customers are poor. Because you are.

Although I'm all aboard with Lyn Alden’s complaints. The US keeps disabling economic feedback mechanisms rather than reform failures and it is starting to catch up with them since the Chinese just work harder than they do.

EDIT And I think you might want to talk about the Baumol effect, not Dutch disease. Dutch Disease is typically invoked for countries that find high mineral wealth and then experience problems but Baumol effect is more relevant to productivity increases.

[0] We make no moral judgement, but economics is a harsh accountant.
Question 1:

Write a program that describes the number of SS's in "Slow Mississippi bass". Then multiply the result by hex number A & 2.

Question 2:

Do you think your peers will haze you week 1 of the evaluation period? [Yes|No]

There are a million reasons to exclude people, and most HR people will filter anything odd or extraordinary.

https://www.youtube.com/watch?v=TRZAJY23xio&t=1765s

Hardly a new issue, =3
The distilled versions are terrible and the full version seems very slow, but the latter is certainly in o1’s league.
#9: Does AI Remember? The Role of Memory in Agentic Workflows
China and US obviously but first EU needs to be shaken out of complacency. It’s brewing slowly, but as all risk, it’s slow until it isn’t. Shutting down nuclear, outsourcing all tech and manufacturing, overregulation and allowing to be taken over by culture of lazy (and lazy cultures) are all fixable, but it takes time, which is running out.
Depends. Do they care about the problem? If so, they'll quickly hit diminishing returns on naive LLM use, and be forced to continue with primary sources.
You're already running this on top of Linux. You're already relying on community support, unless you got scammed by Canonical[1] or RedHat^W IBM[2].

[1]: https://utcc.utoronto.ca/~cks/space/blog/linux/Ubuntu2404Bpf...

[2]: https://en.wikipedia.org/wiki/Dehomag
Talent is innate. Proficiency requires practice.
Didn't warfare changed big enough that big navy might be more obsolete? Ukraine-Russia conflict showed that you can make hordes of cheap naval drones that can easily harass your very expensive ships or put them out of combat. By now probably you can still make more advanced but cheaper underwater drones, smart torpedos etc.
Just FYI. I had a friend that had a similar issue.

In his case, he was deliberately thrown at an underperforming team, because his boss knew he was (still is) a “fixer.” He can Get Stuff Done.

It worked. He got the underperforming team into shape.

He no longer works for that company, but that was because Amazon tossed a big bag of money at him, and hired him away. His old company would gladly hire him back.

Might want to consider that. May very well not be the case, here.

I just remember my friend saying almost exactly the same thing. In his case, he brought his concerns to his manager, who explained what was going on.

The reward for good work, is more work.
Yes, except that metal isn't a dynamic, self-regulating structure. The body is in a constant state of actively fighting against its own decay.
> Global Variables Are Not the Problem

It should have been "Mutability is the Problem, Globalness is not".
> Does JS provide static variables

const f = (() => {
let cnt = 0;
return () => console.log("cnt", cnt);
})();

:-)
I'll be the contrarian and say that I don't find anything wrong with this, and if I were a candidate I'd simply take this as useful information for the application process. They do encourage use of AI, but they're asking nicely to write my own texts for the application - that's a reasonable request, and I'd have nothing against complying.

sshine reply above is coming from a very conflictual mindset. "Can I still use AI and not be caught? Is it cheating? Does it matter if it's cheating?"

I think that's a bit like lying on your first date. If you're looking to score, sure, it's somewhat unethical but it works. But if you're looking for a long term collaboration, _and_ you expect to be interviewed by several rounds of very smart people, then you're much better off just going along.
> and believing communism is a better system are not mutually exclusive. Are they?

Mathematically speaking, no they are not. Politically speaking, yes they are. It is a different thing to have made such an analysis and it is a different thing to use it as your main political argument for reform. But this discussion buys into the argument that he is even pro-communist (which is what he sells) when he clearly isn't if you look at his concrete political actions. Especially when he was a prime minister.
Let’s wait for the Europa lander and nuclear submarine to make sure. Chances are slim but not zero.
Never get high on your own supply ;)
Those aren't actually DeepSeek. They are just Qwen or LLaMa distilled by DS. It confused me too. ollama is taking flak for the confusion.
Well I believe it's Feasible.

Anyway like most things it's a journey, not an on off switch. First you get aware then you make change and the situation gets better, it doesn't have to be perfect to be better.

On my Android phone, I had to make clear cut on which app I could keep after seeing the logs. The apps from Google, microsoft, amazon they are all gone. Even the play services and the play store replaced with aurora.

It cuts at least 2/3 of the network requests.

Then you have the case of individual apps that use Facebook SDK or other advertiser, there are often alternatives in the open source community and when it's not the case there are always less privacy invasive alternative on the store.

For instance, my default Samsung weather app was sending lots and lots of data. The alternative on the froid were not in my taste.

I eventually found out about weawow, it's not open source but it doesn't require any weird permission, no ads, it's not constantly sending data in the background and my logs says it only connect to weather.weawow.com.

I mean it's fine.

After spending weeks with the firewall, i was able to identify the spying app and replace most of them. My network log now is pretty empty when I'm not using the phone.
Side note: what are people’s opinions of the UK regarding AI now? Completely insignificant? I feel the UK has taken a nosedive over at least the past 30 years.
Your language doesn't have pattern matching? It doesn't have Python's "with" or do...while? You want to generate an enum from a CSV file? Want to add a useful abstraction specific to your domain? How do you implement short-circuiting yourself (i.e. `A && B` only evaluating B when A succeeds) without thunking?

Read https://gigamonkeys.com/book/macros-standard-control-constru...
It most definitely can be because the design of the protocol can force a bound on how performant it can be. While its true that certain implementations of HTTP can be faster or slower, even the best implementations of HTTP 1.1 (for example) are quite slow when you compare it to the alternatives.

I know this because I worked at a place which was entirely based around microservices using Rest HTTP as the protocol/interface, some teams had to use alternate methods because HTTP protocol was the bottleneck.
Everyone keeps mentioning that you’re using the distilled version, which is true. But the real question is, do you see acceptable results with any model, open or private?

Verilog is relatively niche as far as programming languages go, so I’m not surprised that you’d have trouble getting good output generally. You can only train the model on so much stuff, and there is probably limited high quality training data for verilog. It’s possible the model planners just decided not to prioritize this data in the training set. 8b sized models will especially struggle to have enough knowledge about niche topics to reason over it. Anything that small is really just a language tool for NLP tasks unless it’s trained specifically to do something.

All that said, your comment does illustrate a misunderstanding with the “thinking” models. They always output a long monologue on what to say, for anything, even “hello”. It’s a different skill to prompt and steer them in the right direction. Again, small models will be worse at everything, even being directed in the right direction.

TLDR: I think you need to find a new model, or at least try the “full” version through the web app or API first.
And applies to any platform with a level of public interactions. Also, people can restrict opening issues/leaving comments etc to only collaborators on their repo if they want to.
I imagine if lets say Hetzner were to offer hosted DeepSeek they would be forced out of the US market, no longer be allowed to even buy NVIDIA. That is a high-risk, assuming EU companies would ever even chose to switch to Hetzner over Azure/etc., which they won't. The EU is acting like and ruled by people who believe the US isn't an hostile entity, that attitude is never going to change and the biggest reason why AI in the EU is dead.
"Obviously" is doing some heavy lifting there. I don't think it's obvious at all.

What is obvious is people are seeing patterns in the output where there are none. We're hardwired for pattern-seeking and we're great at it. We see faces in clouds and hear words in static.

I've seen a number of people wax about how they interrogate ChatGPT until it gives them "the good stuff" and they're all just Clever Hans-ing themselves.
New reasons I never thought I'd have to have to use a VPN. Italy already banned DS by the way.
A Matrix-Bluesky DM puppeting bridge
I have a consultancy - we mostly do development, but I also do quite a bit of "consulting CTO" work. Quite often, that means helping with hiring.

But hiring is nowhere near my full time job, thankfully :D
or Jamie Olive Oil?
you seem to think all classical ML models were supervised, which isn't true. and we have metrics for unsupervised approaches as well
Nice app, i didn't know that one. I think for cycling that is quite sophisticated. However i had a different problem recently wanting to track a Hyrox Workout. I have a epix gen 2 (800€) and i cannot track it nicely. I know you can define workouts but it is such a hassle and doesn't even work good.

Long Story short, i just programmed my own App now for that. Works with all garmin watches and let's use define a fixed Workout and allows to analyze your individual performances across exercises:

https://multisports.creatness.studio - i'm still waiting for Garmin to approve my App Store Submission (another long story with garmin) but it can already be downloaded and sideloaded on a garmin watch. using it for a few weeks now myself.
I mean, sorry - again, bad wording on my side - you are true, but it shouldn't ban the card - let me repeat it later
I have a news flash for you, the situation with extensions in Wayland is ten times worse than X11. Wayland requires an extension for what used to be considered basic functionality in a desktop environment.
We might not be the same. Every time someone asks for tracking anything I complain and question a lot. People hate me, but if there is no real use case for storing all information we can get I will veto as much as I can.

The IT folks working in the advertising industry are much more the "who cares, everyone has all our data already anyway".
If the interview consists of the interviewer asking "Write (xyz)", the interviewee opening copilot and asking "Write (xyz)", and accepting the code. What was the point of the interview? Is the interviewee a genius productive 10x programmer because by using AI he just spent 1/10 the time to write the code?

Sure, maybe you can say that the tasks should be complex enough that AI can't do it, but AI systems are constantly changing, collecting user prompts and training to improve on them. And sometimes the candidates aren't deep enough in the hiring process yet to justify spending significant time giving a complex task. It's just easier and more effective to just say no AI please
All you have to do is setup a single StyleCop config and enforce it across all projects, which would be the same if you used Prettier, go fmt or anything else. I don't get the 'different libraries' part, it can be literally a case in every single language. Let people use what does the job or force them to teach what you want them to use. It sounds more like your technical management issue rather than language/ecosystem problem. Since I started working with Node/TS I miss how similar and easy to read every C# codebase was.
The difference here might be the rather huge gap between putting together a solid "blog post" and a solid "paper" on a subject. I agree these "types" of essays are difficult to challenge and given the sheer length of this post, it is also not accessible to _discuss_. I understand the desire to write about a topic extensively and how intimidating it might be to do so in a "scientific" way, this seems to be the middle ground. Maybe it's a seed for the author, or someone else, to develop further.
I'm not entirely worried, yet. I don't think that LLMs produce code/architecture that is trustworthy enough for them to operate independently. Of course suits & ties will believe it and kill many dev jobs eventually, but as per usual wtf do they know about how things work on the ground. Executives thrive on NYT articles and hearsay from LinkedIn.