MurphyA/hacker-news huggingface dataset:
by eddythompson80 | 2025-06-20 19:17:03+00:00
> Kubernetes wasn’t designed to be an end-to-end solution for everything needed to support a full production distributed stack.

I'll admit I know very little about the history of kubernetes before ~2017, BUT 2017-present kubernetes is absolutely designed/capable of being your end to end solution for everything.

Take the random list I made and the meme page at:

- CI/CD [github, gitlab, circleci]: https://landscape.cncf.io/guide#app-definition-and-developme...

- secret management [IAM, SecretsManager, KeyVault]: https://landscape.cncf.io/guide#provisioning--key-management

- logging & analytics [CloudWatch, AppInsights, Splunk, Tablue, PowerBI] : https://landscape.cncf.io/guide#observability-and-analysis--...

- storage [S3, disks, NFS/SMB shares]: https://landscape.cncf.io/guide#runtime--cloud-native-storag...

- databases: https://landscape.cncf.io/guide#app-definition-and-developme...

- cron tasks: [Built-in]

- message brokers: https://landscape.cncf.io/guide#app-definition-and-developme...

The idea is wrap cloud provider resources in CRDs. So instead of creating an AWS ELB or an Azure SLB, you create a Kubernetes service of type LoadBalancer. Then kubernetes is extensible enough for each cloud provider to swap what "service of type LoadBalancer" means for them.

For higher abstraction services (SaaS like ones mentioned above) the idea is similar. Instead of creating an S3 bucket, or an Azure Storage Account, you provision CubeFS on your cluster (So now you have your own S3 service) then you create a CubeFS Bucket.

You can replace all the services listed above, with free and open source (under a foundation) alternatives. As long as you can satisfy the requirements of CubeFS, you can have your own S3 service.

Of course you're now maintaining the equivalent of github, circleci, S3, ....

Kubernetes gives you a unified way of deploying all these things regardless of the cloud provider. Your target is Kubernetes, not AWS, Microsoft or Google.

The main benefit (to me) is with Kubernetes you get to choose where YOU want to draw the line of lock-in vs value. We all have different judgements after all

Do you see no value in running and managing kafka? maybe SQS is simple enough and cheap enough that you just use it. Replacing it with a compatible endpoint is cheap.

Are you terrified of building your entire event based application on top of SQS and Lambda? How about Kafka and ArkFlow?

Now you obviously trade one risk for another. You're trading the risk of vendor lock-in with AWS, but at the same time just because ArkFlow is free and open source, doesn't mean that it'll be as maintained in 8 years as AWS Lambda is gonna be. Maybe maybe not. You might have to migrate to another service.
by jackstraw42 | 2025-06-20 19:17:08+00:00
> We need top talent from industry.

Fair, but is that what they're doing here? I don't know much about the individuals involved, but I sure know the companies they're associated with. The concerning part for me is that this new "Detachment 201" seems less about these individuals' expertise and more about the companies they represent and can provide access to.
by crazygringo | 2025-06-20 19:17:34+00:00
It sounds like you've explicitly opted yourself into the lowest common denominator ads. It's understandable that mainstream companies want to maximize their advertising impact by only targeting the viewers where there is data to suggest the viewers will actually be interested in their products.

I'm honestly not really sure why you're complaining. If you don't want to be tracked or profiled, you're going to get the lowest quality ads. Why do you think higher-quality advertisers should be wasting money trying to reach you, when you are going out of your way to avoid any interest in them?

To be clear, I'm not criticizing what you're doing to avoid tracking, or your stance against it. But I'm questioning why you would then complain about the ads you receive.
by uniqueuid | 2025-06-20 19:17:38+00:00
This paper builds on a series of pathways towards harm. Those are plausible in principle, but we still have frustratingly little evidence of the magnitude of such harms in the field.

To solve the question of whether or not these harms can/will actually materialize, we would need causal attribution, something that is really hard to do — in particular with all involved actors actively monitoring society and reacting to new research.

Personally, I think that transparency measures and tools that help civic society (and researchers) better understand what's going on are the most promising tool here.
by hayst4ck | 2025-06-20 19:17:40+00:00
AI execs push the message of how dangerous and powerful AI is because who doesn't want to invest in the next most powerful thing?

But AI is not dangerous because of the potential for sentience, but because it makes the rich richer and the poor poorer. It gives those with resources more advantage. It's dangerous because it gives individuals the power to provide answers when people ask questions out of curioity they don't know the answer to, which is when they are most able to be influenced.
by lemoncookiechip | 2025-06-20 19:17:52+00:00
Fascism had it's roots in Capitalism. The elites not only welcomed it, but they backed it, because it helped shut down workers right movements and keep things stable at a time when the workers right movement was hurting their bottom line by asking their bosses for living wages and humane working conditions, which they saw as Socialism and Communism.
by cypherpunks01 | 2025-06-20 19:17:53+00:00
Bad reporting.

“There was no centralized data breach at any of these companies,” Diachenko said when I asked him to clarify whether any of the datasets actually came from Facebook, Google, or Apple.

Bob Diachenko, a Cybernews contributor, cybersecurity researcher, and owner of SecurityDiscovery.com, is behind this recent major discovery.

https://cybernews.com/security/billions-credentials-exposed-...
by hedora | 2025-06-20 19:18:30+00:00
Counterpoints (could be true or false, but do not contradict the data from any article I have found):

- average commute time is up because transit is still much slower than driving used to be (this first point is definitely true), and many drivers were forced on to the slower mode of transportation (also true, but that doesn’t imply average times went up or down).

- Occasional visitors (that only pay once in a while) are up, but the number of people that can commute are down, hollowing out commercial office districts.

- polls showing it is popular under-represent people that can no longer afford to travel to the city.

The fact that the numbers being reported are so vague as to be compatible with my doomsday scenario is why I say the metrics seem cherry picked.

I’d love to see a study that reports enough of their methodology to disprove my three bullet points. I’m generally supportive of things like congestion pricing and public transit, but sloppy studies and sloppy reporting on their actual impact doesn’t help their cause.
by gdiamos | 2025-06-20 19:18:49+00:00
The future part didn’t land for me at all.

To me it just goes completely off the rails.

“”” 2035: AI is 10,000 times smarter than the smartest human.7 It composes “A Brief, Exhaustive and Completely Correct History of Robotics” which is much funnier than this one.

2035: Technological utopia arrives. “””

That’s okay, humor requires taking a risk.
Show HN: Onri, the Google Map for micro-learning
by ru6xul6 | 2025-06-20 19:19:05+00:00
Hi, happy to share Onri, a micro-learning platform I've been building for intellectually curious people.

Website: https://onri.ai

# What is Onri

Onri offers 2 things:

1. Self-learning: You enter a learning goal (e.g. tariff and globalization), Onri gives you a unique learning plan with 30 key concepts, combined with the best learning materials for each key concept. Future learning plans are optimized by what you've already learned. 2. Knowledge map: all key concepts of human knowledge on a 2D map for you to freely explore. Related concepts tend to be closer on the map, with path-finding between any 2 concepts.

Onri is most useful for industry analysts, students, and life learners.

# Why build Onri

I'm often surrounded by smart and curious people, who spend much time learning from various sources and industry experts. It works great for people with high-quality networks or impressive backgrounds, but it's challenging for others without great educational support or mentors. How to even start learning without knowing what's missing? It's an "unknown unknowns" problem.

I want to fix that by providing a guide of "what to learn":

1. Learning path depends on the gap between your knowledge and your learning goal, and the path is unique for everyone. For example, to learn about self-driving car, the learning path is wildly different for a car mechanic vs. a software engineer vs. a control engineer. 2. For every key concept, there exist free and high-quality learning materials online. They may come from various sources though (blog/Youtube/MOOC/podcast), so discovery and aggregation is important.

# Onri vs. other learning methods

Onri is meant to supplement other learning methods:

- formal schooling: most in-depth, high credential, but costly in time and money - MOOC: high quality content, leaning towards academic topics, lower cost, but completing a course could be overwhelming - book: high quality, but often no more than 1 chapter is needed, may include outdated information - podcast: mixed quality, time-consuming to find key moments - Youtube videos: mixed quality, great visuals, time-consuming to find key moments - experts/mentors: expensive, constrained by personal networks and geo-location - LLM: real-time tailored answers, great for rabbit-holing but tend to miss the forest for the trees

# Asking for feedback

If you have any feedback (positive and negative) or how Onri could be specifically useful to you, please feel free to comment below or reach out to me (contacts on my profile). Would really appreciate that :)
by bigyabai | 2025-06-20 19:19:06+00:00
You know what concerns me? Venture capital has started a ball rolling, which HN plays no small part in. VCs exist as an apparatus of America's massive financialized economy, and therefore understands that the system is overleveraged again. We have so much more debt than we're capable of working off, and therefore the people with money want to spend it on moonshots. Cryptocurrency scams, viral marketing schemes, AI shenanigans among the latest. What is the sum of all this? What work is really being done, besides the financier economics we've seen since the 1980s and the dev outsourcing we've seen since the 90s?

Maybe AI swarms do pose some weird contrived threat to democracy. Pieces like this will inevitably be laundered by the American intelligentsia like Karpathy or Hinton, and turned into some polemic hype-piece on social media proving that "safe AI" must be prioritized in a row for regulation. It's borderline ineffable to admit on HN, but America's obsession over speculative economics has pretty much ruined our chance at seizing a technological future that can benefit anyone. Now AI, like crypto before it and the dotcom bubble too, is overleveraged. "Where's the money, Lebowski?"
by skydhash | 2025-06-20 19:19:14+00:00
Not only usability, but also raw capabilities. Most native toolkits handle UI and basic ux well and has good interoperability with system components. With most cross platform frameworks, the developer is often reimplementing these or trying to resolve platform incompatibilities (always badly). And the project quicly balloons in complexity.

They’re great to get started, and when what you need is already available. But they’re a pain for everything else.
by pinerd3 | 2025-06-20 19:19:22+00:00
I think they basically agree with your point here -- they mention Descartes and Kant to say roughly "I hold basically these ideas, but I don't mention the philosophers' names when I talk about them because 1) I came to them independently, and 2) the people I'm talking to are not familiar with the context so situating our conversation there isn't helpful." Their argument is that you can have philosophical conversations without relying on the context of the canon, and that in a first-level discussion they wouldn't bring up Descartes or Kant.
by mdaniel | 2025-06-20 19:19:48+00:00
FWIW, Lambda takes the opposite of your assertion: there are function entrypoints and the HTTP or gRPC or Stdin is an implementation detail; one can see that in practice via the golang lambda "bootstrap" shim <https://pkg.go.dev/github.com/aws/aws-lambda-go@v1.49.0/lamb...> which is invoked by the Runtime Interface Emulator <https://github.com/aws/aws-lambda-runtime-interface-emulator...>

I don't have the links to Azure's or GCP's function emulation framework, but my recollection is that they behave similarly, for similar reasons
by viamiraia | 2025-06-20 19:20:33+00:00
> Without blockers, 60-90% of kids presenting with gender dysphoria desist in cross sex gender identity by adulthood. But when put on blockers, nearly 100% continue living as the cross sex gender.

You say "most research" shows this. From which source(s) do you draw these claims? If I recall correctly there were a lot of methodological issues with drawing this type of conclusion from those studies.
by mattgreenrocks | 2025-06-20 19:20:58+00:00
> We get it, so many HN and Tech folks have thrown in the towel and given up on changing anything within their own lives, or within the lives of others.

It’s hilarious to read such defeatist takes on the current state of things on a site called Hacker News. The classical definition of a hacker was someone who wielded tech to circumvent power imbalances in whatever form.

Now I fear we have plenty of technologists that are happy to use tech to further cement and centralize existing power structures. IMO, this has been brewing for the past ten years or so, where technologists wrongly believe they have an in to this power just because they work for a FAANG.

You are labor. Where you work does not matter. So long as you need to work, you are labor. And there’s nothing wrong with that! Doctors are finding out this same lesson.

The way out is to build ventures that don’t involve the capital class. Autonomy and independence are worthy goals to strive for.
by indigodaddy | 2025-06-20 19:21:56+00:00
look into Kasm workspaces.. great way to spin up remote docker-based linux desktops, and works great as an AI dev environment that you can use wherever you happen to be. There is homedir persistence, and package persistence can be achieved via some extra configuration that allows for Brew homedir-based package persistence.

https://hub.docker.com/r/linuxserver/kasm

https://www.reddit.com/r/kasmweb/comments/1l7k2o8/workaround...
by zeroCalories | 2025-06-20 19:22:14+00:00
> Haven't we been saying it was stolen through suspect political maneuvering and the compromised nature of mass and social media as it exists today?

Political maneuvering isn't capitalism. But putting that aside, if your candidate could only win by having the moderate vote split five ways, you're the ones doing political maneuvering.

> As a black person, it was not lost on me the difficulty CNN et al. had in finding black voters to interview, until the nation NEEDED to know that black South Carolinian voters definitely hated Sanders and backed Biden.

Polls always showed that Biden was the Obama guy.
by matus-pikuliak | 2025-06-20 19:22:31+00:00
I have done some research about AI-disinformation. This is a really complex topic, as disinformation or influence operations are complex phenomena that can have many different forms. What I would argue is that disinformation in general do not have a supply problem (how to generate as much of them as possible) but a demand problem (how to get what is generated in front of some eyes). You don't really need a botnet of fake users pushing something, you need a few popular accounts/politicians to spread your message. There is no significant advantage in using AI there.

But, there are still situations where botnets would be useful. For example, spreading propaganda on social media during hot phases of various conflicts (R-U war, Israeli wars, Indo-Pakistani war) or doing short term influence operations before the elections. These cases need to be handled by social media platforms detecting nefarious activity by either humans or AI. So far they could half-ass it as it was pretty expensive to run human-based campaigns, but they will probably have to step up their game to handle relatively cheap AI campaigns that people will attempt to run.
by mike_d | 2025-06-20 19:23:32+00:00
It can be true for you if your correct your thinking on the problem.

CVEs are basically just bugs that are not triggered by normal operation. If you race to "fix" them all, you are going to drown (as you are discovering).

Focus on your solution for tracking actively exploited vulnerabilities and a prioritization system and you'll greatly simplify the problem while better serving your customers.
by IAmGraydon | 2025-06-20 19:23:40+00:00
>Fusing LLM reasoning with multi-agent architectures [1], these systems are capable of coordinating autonomously, infiltrating communities, and fabricating consensus at minimal cost. Where legacy botnets acted like megaphones, repeating one script, AI swarms behave like adaptive conversationalists with thousands of distinct personas that learn from feedback, pivot narratives, and blend seamlessly into real discourse. By mirroring human social dynamics using adaptive tactics, they threaten democratic discourse.

A trip to Reddit will show you just how real this already is. Humans are far more likely to adopt a belief if they think that everyone else also believes it. The moment GPT became available, bad actors have exploited this to spread disinformation and convince everyone to believe it.
by aleph_minus_one | 2025-06-20 19:23:40+00:00
> I'd also argue most engineers don't think very hard about what's actually valuable to a company.

My experience differs: many software developers think deeply about what is valuable to the company, but don't play the ferocious political games that managers do play (the only winning move is not to play).

Relatedly and because of their logic thinking, they thus often come to the conclusion that these scumbags of managers are clearly not what is valuable to the company.
by zahlman | 2025-06-20 19:23:43+00:00
> The price will determine how poor you have to be to get forced to do without so the wealthy can benefit from an increase in quality of life.

Why should going without a car feel like it's being "forced" upon one?

Why should taking public transit represent a decline in QoL?

> but what happens when wealthy people want to cut another 5 minutes from their commute?

Why so cynical?

> Why should my taxes get used to build infrastructure that's going to be subjected to congestion pricing that prices me out of using that infrastructure?

From Wikipedia:

> The Metropolitan Transportation Authority (MTA) estimates $15 billion in available capital will be generated by bonding revenues from the tolls, which will be available to fund repairs and improvements to the subway, bus, and commuter rail systems.

Why would any city implement congestion pricing with the goal of funding more roads?
by rikafurude21 | 2025-06-20 19:24:10+00:00
New developments in AI are used here to push the usual "solutions" - more privacy invasion, more centralized control, for the sake of democracy. Disinformation campaigns arent just used to influence elections but thats like the most common theme. The reality is that humans need to be upgraded with "mental antivirus". We're seeing the beginning of something like that with people being able to tell when text theyre reading is LLM-generated. Everyone probably gets psyopped every time they start scrolling a social media feed - We just need to be aware of that
by ivape | 2025-06-20 19:24:16+00:00
It's dangerous for psychological reasons. We already saw how the internet was able to organically form into bubbles that escaped into the real world and fully influenced how people identify and conduct themselves. AI now lets people sub divide into further groups based on entirely arbitrary criteria which they feed into AI and AI feeds back their bubble. Think Manson, think cults, suicide pacts, tidepod eating cult, and of course, political parties.

The kids will at some point worship a prompt-engineered God (not the developer, the actual AI agent), and there will be nothing society will be able to do about it. Nobody verbalizes that Gen Z moves entirely like a cult, trend after trend is entirely cult-like behavior. The generation that is going to get raised by AI (Gen Zs kids) are going to be batshit crazy.
by agentultra | 2025-06-20 19:24:35+00:00
Real AI safety is enforced regulation and smart policies, period.

Don't let the government's FOMO on new weapons enable these companies to add new coal and methane power to the grid and build data centres in water-stressed regions. Make them pay for the externalities they cause. If it weren't subsidized these companies wouldn't be operating at the scale they are, AI would be in a lab, where it belongs doing cool stuff for science.

Heck, don't let government let alone private corporations weaponize this technology, full stop.

Economic policy that protects businesses and individuals online. Peoples' hosting bills are going through the roof from AI scrapers. The harm is nuts. These companies aren't respecting any of the informal rules and are doing everything they can to form monopolies and shut down competition.

We need social policies that prevent AI use cases from harming the economy. Policies that prevent displacing skilled workers without redistributing the accrued wealth to the labour class. If it's really improving productivity by such a huge factor then we should all be working less and living comfortably.

But I dunno how you prevent the disinformation, fraud, and scams. They've been around for years and it's always a cat-and-mouse game. Social media has just made it worse and AI is just more fuel for the tire fire.
by BenjiWiebe | 2025-06-20 19:26:12+00:00
If you have CGNAT, the IP on your router's external interface is unroutable.

Just like how when you do NAT for your home network, your devices get assigned non-routable private use only address space.

Unroutable meaning not publicly routable. Of course you can route traffic through your own LAN to your Internet gateway.
by rickcarlino | 2025-06-20 19:26:21+00:00
The protocol is 20+ years old. Many of the sites that hold the documentation are slowly disappearing and some of the sites that are still around actually reference material that is superseded. I certainly could have done it by myself, but would have wasted countless hours. As an example, the official Gnutella RFC has unresolved TODO comments written inline! Using deep research, I was able to get information sources very quickly. The query routing protocol and the GWebCache system were particularly difficult to get information on. Other times, I was able to search the code base of existing projects, which is how I was able to figure out zlib compression (scouring the gtkgnutella codebase)
by edwardbernays | 2025-06-20 19:26:39+00:00
I'm not complaining that higher-quality advertisers aren't spending money trying to reach me. I'm saying the fact that the lowest common denominator ads are so hostile is reason enough to completely avoid them.

This might be a controversial take, but I don't want to see soft-core porn ads. I don't want to see scam ads. I don't want to see the worst of the worst. It is not a necessary state of affairs that the lowest common denominator ads are ads that are explicitly attempting to prey upon the least informed, most vulnerable members of society.

The fact that the worst ads are the way that they are is indicative of YouTube's willingness to engage in user-hostile activities.

If they were less willing to engage in hostile ads, there would be less hostility towards their ads.

YouTube's solution is extremely simple: vet ads and don't accept money to run hostile ads.