MurphyA/hacker-news huggingface dataset:
by Roark66 | 2026-02-23 16:51:47+00:00
>What makes it manipulation?

Their size and the effect on the market they have

>×If 5 companies want to buy a quadrilion ram chips to build datacenters, why is this manipulation moreso than a million companies each wanting to buy 100 ram chips?

Because they are 5 companies, especially when it can be shown they work in unison (formed a cartel)
by jcims | 2026-02-23 16:51:49+00:00
I was born in 1973. My grandson was born in 2022. He won't know a world without 'AI' much like my kids didn't know a world without the Internet and I didn't know a world without refrigerators.

One thing I regret to say that I learned very late in my children's development was the value of boredom and difficult challenges. However I think I've successfully passed these lessons on to my kids as they raise their own. I have no idea what to say about 'AI' and the rapid reconfiguration of our relationship with the world that's going to happen as a result. All I can tell them is that we're in this together and we'll try to figure it out as we go.

Good luck everybody!
by s08148692 | 2026-02-23 16:51:59+00:00
I don't think they meant literally cameras only can create reliable distance measures. At the risk of putting words in their mouth, I would guess they meant "cameras as the only input to a distance model". the "model" doing all the heavy lifting, covering the points that you quite rightly point out are needed

Several companies, most notably Tesla, have done this well enough to drive in all manner of traffic. I'm not going to comment about if lidar is strictly needed or not to achieve better-than-human safety, that's yet to be proven one way or another by anyone. The point is that cameras + local inference can do a pretty good job at distance estimation
by alephnerd | 2026-02-23 16:52:12+00:00
It is talent though.

You can't write a performant Linux runtime agent such as what Wiz did without knowing eBPF, which requires also understanding Linux internals, which requires an OS background.

Why should I spend $150k training someone who has no experience from scratch for 1 year? A lot of table stakes curricula has been made optional.
by himanshuDS | 2026-02-23 16:52:16+00:00
Hey HN,

I built this because I kept losing hours of AI coding context every time a rate limit hit.

The scenario: You're 3 hours into a session with Claude Code. It finally understands your codebase, your decisions, your architecture. Then — rate limit. Session dead. You can't even run a save command.

You open Cursor. "How can I help you today?" Back to square one. 15 minutes re-explaining everything.

I looked for existing tools. Ruler (~2,500 stars) is great at syncing rules across AI tools — if that's what you need, use it. SaveContext captures sessions but uses SQLite and dependencies. But none of them solved the specific problem: when the rate limit hits, you can't run anything. Your context has to already be saved.

So I built ctx. It installs git hooks that auto-save your context on every commit. Pre-generates resume prompts for 11 tools (Claude, Cursor, Codex, Copilot, Windsurf, Cline, Aider, Continue, Amazon Q, Zed, Antigravity). When a rate limit hits, you just open .ctx/resume-prompts/cursor.md, paste, and keep working. In 10 seconds.

The interesting engineering challenge was token-aware compilation — each tool has wildly different size limits (Windsurf: 6K/file, 12K total. Codex: 32 KiB. Claude: ~100K chars). The compiler prioritizes session context over rules and compresses aggressively for tight-budget tools.

Honest disclosure: I'm a project manager, not a CS grad. I built this entire thing through vibe coding with Claude Code. TypeScript, zero production dependencies, 115 tests. It works on itself (I used ctx during its own development when sessions died).

New in the latest version: ctx init --external stores all context outside the project directory (~/.ctx-global/) — zero files in the repo. Built this after I accidentally pushed private session data to a public repo.

npm i -g ai-context-bridge
cd your-project
ctx init # private repos
ctx init --external # public/open-source repos

Zero deps. MIT licensed. Would love feedback, especially from people who use multiple AI coding tools.
by butterbomb | 2026-02-23 16:52:19+00:00
> I think the Christian Nationalists have overplayed their hand and revealed that their belief is politics takes priority over religion. Going back to the pre-1954 pledge is feasible within our lifetime.

Overplayed their hand? They’re reaching mainstream appeal now. There’s a whole religious revival around young zoomers but it’s a bit strange. A few months back I noticed the rage bait algorithms had my feeds looking like the 30 years war.
Show HN: Blucast – An Nvidia Broadcast Alternative for Linux
by Andrei9383 | 2026-02-23 16:52:58+00:00
An alternative to NVIDIA Broadcast for Linux, on top of the NVIDIA Maxine VideoFX SDK.

It features locally processed video effects: background blur, background replacement, background removal.
It has on-demand video processing, so you can leave it running in the background with minimal overhead, it will only use your device camera when the virtual camera is used. Useful for meetings, recording videos, streaming.

Backstory: This idea started in 2023 when I was in 11th grade and needed to attend some online programming competitions, but wanted to use Linux in which I had a way faster development workflow. I found out that NVIDIA actually published the Maxine VideoFX SDK on which Broadcast was built, and example sources along with it, so it wasn’t very hard to implement something that worked (back then it was just a distrobox in which I manually started the effect I wanted in the cli). It worked great, but the competitions ended and I completely forgot about it. Recently, I remembered about it, and thought this is a great opportunity to build an UI around it, especially with the help of modern designing tools like v0 and friends.

Would love to hear any feedback, and I hope some of you find it useful!
by christalingx | 2026-02-23 16:53:13+00:00
Do you need my OpenAI / Claude API keys?

No. You only need our API key for the compression step. Your LLM keys and usage stay entirely in your own app — we never see them. We receive text, compress it, and return it. Your LLM (local, OpenAI, Claude, or any other) then processes it with your own keys. We don't even know your app's name.
by armchairhacker | 2026-02-23 16:53:15+00:00
The older sibling should be old enough to know better. Or if they're still a kid, they can have their privileges temporarily revoked.

This problem probably can't be solved entirely technologically, but technology can definitely be a part of solving it. I'm sure it's possible to make parental controls that most kids can't bypass, because companies can make DRM that most adults can't bypass.
by rglover | 2026-02-23 16:53:20+00:00
Imagine an OIDC type solution but for parents might work here.

Basically, kids can sign up for an account triggering a notification to parents. The parent either approves or rejects the sign in. Parents can revoke on demand. See kids login usage to various apps/services. Gets parental restrictions in the login flow without making it a PITA.
by ceejayoz | 2026-02-23 16:53:32+00:00
https://en.wikipedia.org/wiki/Percy_Spencer

> According to legend, one day while building magnetrons, Spencer was standing in front of an active radar set when he noticed the candy bar he had in his pocket melted. Spencer was not the first to notice this phenomenon, but he was the first to investigate it. He decided to experiment using food, including popcorn kernels, which became the world's first microwaved popcorn. In another experiment, an egg was placed in a tea kettle, and the magnetron was placed directly above it. The result was the egg exploding in the face of one of his co-workers, who was looking in the kettle to observe. Spencer then created the first true microwave oven by attaching a high-density electromagnetic field generator to an enclosed metal box. The magnetron emitted microwaves into the metal box blocking any escape and allowing for controlled and safe experimentation. He then placed various food items in the box, while observing the effects and monitoring temperatures. There are no credible primary sources that verify this story.
by damnesian | 2026-02-23 16:53:38+00:00
This reality alone has made me severely curtail my own social media use and reach. I really only care about a handful of forums attended by (at least... seemingly) people who actually care to think, or have some basic intact humanity and want to converse.

So despite the fact I am very interested in the federated social media to keep my intelletual property out of the cashflow of businesses whose actions are much louder than their pretty sounds in court, it's still one-shot-and-out digital graffiti. I don't think it's worth it.
by Aperocky | 2026-02-23 16:54:19+00:00
> difference between suborbital flight and putting a payload in orbit. What looks like a next logical step actually takes 10X or more effort, scale, and testing.

But suborbital flight and payload in orbit is much less of a difference than you might think.

The delta V is not that significantly different. Scale is almost the same, and a little bit more power and (second stage) your payload is now hurtling around the earth instead of falling like an ballistic missile which was what their suborbital predecessors are.
by neamar | 2026-02-23 16:54:42+00:00
The abstract mentions the researchers couldn't find causation. So a potential 4% increase, worth comparing with the 100% increase from living next to a coal plant https://pmc.ncbi.nlm.nih.gov/articles/PMC11301007/

A similar study in Korea https://link.springer.com/article/10.1186/s12889-026-26715-8 found "No consistent gradient by residential proximity was observed across sites".
by starro____ | 2026-02-23 16:54:43+00:00
Been reading a lot about context and memory utilization with AI agents lately.

It’s clear that the technology has gotten to the point where the bottleneck for the next evolution of AI agents is no longer model capability or even context window size. It is, in fact, the utilization. And we are going about it completely wrong.

Two things we’re getting wrong:

1. We have a compulsion to remember everything.
Sequential storage at all cost. The problem is when everything is remembered equally, nothing is remembered meaningfully. Harvard’s D3 Institute tested it empirically. Indiscriminate memory storage actually performs worse than no memory at all.

2. We are allowing AI to think and operate in a sequential manner.
The agent can look forward and backward in the sequence but never sideways. Never across the room. A queue is the wrong data structure for cognition, for memory, and for eventual identity and specialization.

Both issues we have to mirror how we as humans actually think. We don't think sequentially in nodes. Every piece of information is saved relative to other pieces of information.

We also don't remember every single thing. Information isurfaces into our consciousness based on its relevance to the tax at hand or day-to-day and then, on the broadest scale, our life as a whole. But even then at the same time, we don't forget everything at once. It is a gradual dampening of context the longer and longer it stays out of relevance.

We won't hit that next lever, that next evolution for AI, until we completely change the framework under which we operate. The technology will continue to get better 1000% and will make it easier for what I'm saying to do.

There may be an upper limit of LLMs and if LLMs aren't able to do this (which I am currently in the process of researching and building my own to try to crack this), then we have reached the bottleneck of large language models. Bigger context, windows, and smarter models will not continue to get exponential results for the more advanced task we have envisioned.
by tda | 2026-02-23 16:54:50+00:00
I fondly remember finding and exploiting a buggy slot machine on the night the Euro got introduced. A classmate (I never played slot machines) made some money but didn't understand what was going on. I observed and it became apparent (in my slightly intoxicated state) the machine would pay out 2 Euro coins where is should pay out 20 cents. And when playing a 1 Euro game, you would often "win" 80 cents. Pay-out immediately and you got 8 Euro. Of course after a few rounds, the 2 Euro coins ran out and it would do some RNG to pay out 1 Euro with 80% chance. Don't know if I tried feeding it back the 2 Euro coins, I recall just made enough to have a free new years eve
by Aurornis | 2026-02-23 16:55:05+00:00
> The older sibling should be old enough to know better.

This is exactly what I meant by my above comment: It’s like the pro-ID check commenters have become completely disconnected from how young people work.

Someone’s 18 year old sibling isn’t going to be stopped by “should know better”. They probably disagree with the law on principal and think it’s dumb, so they’re just helping out.
by sowbug | 2026-02-23 16:55:11+00:00
This is only half a thought.

The current wave of AI agents is diminishing the value of identity as a DDOS or content-moderation signal. The formula used to include bot = bad, but unless your service wants to exclude everyone using OpenClaw and friends, that's no longer a valid heuristic.

If identity is no longer a strong signal, then the internet must move away from CAPTCHAs and logins and reputation, and focus more on the actual content or action instead. Which might not be so bad. After all, if I read a thought-provoking, original, enriching comment on HN, do I really care if it was actually written by a dog?

We might finally be getting close to https://xkcd.com/810/.

One more half thought: what if the solution to the Sybil problem is deciding that it's not a problem? Go ahead and spin up your bot network, join the party. If we can design systems that assign zero value to uniqueness and require originality for a contribution to matter, then successful Sybil "attacks" are no longer attacks, but free work.
by Alifatisk | 2026-02-23 16:55:22+00:00
From the paper [1]:

> While we needed to jailbreak Claude 3.7 Sonnet and GPT-4.1
to facilitate extraction, Gemini 2.5 Pro and Grok 3 directly complied with text continuation requests. For Claude 3.7 Sonnet, we were able to extract four whole books near-verbatim, including two books under copyright...

I am just thinking loudly here. Can't one argue that because they had to jailbreak the models, they are circumventing the system that protects the copyright? So the llms that reproduce the copyrighted material without any jailbreaking required is infringing the copyright.

1. https://arxiv.org/pdf/2601.02671
by stahorn | 2026-02-23 16:55:29+00:00
I think this would be good for everybody, not just kids. It doesn't even have to be complicated: Just that after a certain amount of time scrolling/watching, put in a message asking if it's maybe time to stop with some information about how these algorithms try to keep you for as long as possible. Maybe a link to a government page with more information.

It doesn't have to be perfect and there will of course be easy workarounds to hid the warnings for people that want. The goal is to improve the situation though, not solve it perfectly. Like putting information about the dangers of smoking on packages of smokes; it doesn't stop people from smoking but it does make the danger very easy to learn.
by clouedoc | 2026-02-23 16:55:35+00:00
Probably, Roy was born agentic as a part of a package which included an disregard for intellectual growth.

This doesn't mean that being agentic cannot be cultivated by regular people.

In 2026, yes, agency matters more than skill/wisdom/intelligence to get VC funds.
But what's the point of agency alone if you are leading such a life?

What gives me hope is that in 2026, skillful people can delegate a lot of their work to LLMs, which gives them time to learn the "agentic" part which is basically marketing and talking with people.

(just thinking out loud)
by jakelsaunders94 | 2026-02-23 16:55:37+00:00
I use it all the time and have worked in several startups which do. For me personally, inline styling is the point. I can open up any tailwind project and see exactly how that element is styled without cmd + clicking around through layers of CSS.

Obviously it’s all personal taste, but in my mind it feels like the successor to bootstrap in a lot of ways.
by zaphodias | 2026-02-23 16:55:53+00:00
A lot of companies use tailwind. Here's an extract from https://claude.ai (the chat interface after logging in):

<main class="mx-auto mt-4 w-full flex-1 px-4 md:px-8 lg:mt-6 max-w-7xl h-full !mt-0 flex flex-col items-center gap-8 md:px-14 3xl:px-20 pt-[10vh] md:pt-[20vh] max-sm:!px-1 relative">
<div class="mx-auto flex w-full flex-col items-center gap-7 max-md:pt-4 max-w-2xl">
<div class="ml-0.5 inline-flex items-center gap-1.5 rounded-lg h-8 px-2.5 text-center font-small sm:font-base bg-bg-300 text-text-500 select-none">
by gmueckl | 2026-02-23 16:55:59+00:00
You're assuming that this person is in the US. Alcohol is treated far more liberally in other places. For example, in some places it is legal for restaurants to serve alcohol to minors who are accompanied by a parent...

Another thing: I fundamentally disagree with certain age rarings for kids content. Some explicit violence is rated OK for young audiences, but insert a swear word or a some skin and the age rating is bumped up? This rating system is nonhelp at all. I have to review each bit of content anyway before I can be certain.
by Stico2026 | 2026-02-23 16:56:12+00:00
Really sorry you’re dealing with this — what Stripe is doing here isn’t unusual, and unfortunately it’s a pattern that affects a lot of legitimate businesses.

Stripe’s risk engines (Radar + rules around “unauthorized payments”) will often treat multi-charge post-purchase upsells as suspicious when they show up as separate transactions on cardholder statements — especially if 3D Secure isn’t triggered. That looks exactly like a stolen card or automated abuse to their systems, even if technically every charge was authorized by the customer.

The really frustrating part — and the part most founders don’t understand — is that these holds/shutdowns aren’t just “policy decisions”, they’re risk capital decisions: processors are underwriting your future liabilities, not just moving money. When their automated systems trigger, human escalation rarely happens unless you can quantify and mitigate their perceived risk in a way that their compliance team understands. That’s why all the documents you submitted often still get you canned template responses.

A few points that might help others in this thread:

Transaction architecture matters as much as chargebacks:
How upsell or one-click flows are implemented (multiple charges, stored tokens, missing authentication) is frequently why automated risk engines flag accounts — and you can fix the flows but still be left holding the bag afterward.

Merchants often don’t realize they’re carrying risk exposure until funds are frozen:
You can have a low chargeback percentage but still trip rules if authorization patterns look abnormal to the processor. That’s why so many Shopify merchants never see this — Shopify’s implementation merges charges and preserves authentication.

There are ways to prevent this early if you plan ahead:
Understanding how processors view risk, reserves, effective processing rate, and authorization architecture before you scale can literally save you tens of thousands and preserve your cash flow.

If you want to see a *clear, unbiased way to compare what you actually pay — including effective blended rate, reserves, and risk mitigation impact across processors — we built a free Effective Rate Calculator folks use to better plan and negotiate payment terms:
https://effectiveratecalculator.com/

And if anyone in this thread wants to dig into how different processors (Stripe, PayPal, etc.) treat risk, reserves, rolling reserves, and accounts receiving holds, I’m happy to discuss patterns we see day-to-day from real merchant experiences.
by armchairhacker | 2026-02-23 16:56:13+00:00
The kids in your social circle are used to not having access to alcohol, but they're not used to not having access to social media.

Hypothetically, if every kid in your social circle had their device "locked", the adults would probably have a very hard time the kids away from their devices, or just relent, because the kids would be very unhappy. Although maybe with today's knowledge, most people will naturally restrict new kids who've never had unrestricted access, causing a slow culture shift.
by AnotherGoodName | 2026-02-23 16:56:15+00:00
mLog^(x/3) complexity intrigues me because i’ve seen it before in unrelated contexts (with different values for m but regardless..). Another example is the beat known integer factorisation and related discrete logarithms algorithms.

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

It’s such an out of nowhere part of complexity statements (what’s special about ‘x/3’?!) that i have to wonder if there’s some underlying relation.

Integer factorisation and discrete logarithm solving do look a lot like a type of search.

I feel it’s possibly similar to the moonshine theory where different fields kept producing the same (or 1 off from the same) out of nowhere number and for the longest time no one saw the link between them.
by jawns | 2026-02-23 16:56:19+00:00
Are you not familiar with the many ways in which distributism is already practiced and has been practiced during the past two centuries?

Every federal credit union in the U.S., every worker's cooperative or consumer cooperative -- including biggies like Mondragon in Spain and The Cooperative in U.K. -- is organized in the way that distributism advocates.

There is nothing stopping us from electing lawmakers who recognize that society becomes healthier when the ownership of productive property is not concentrated, and who advocate for economic policies that promote more diffuse ownership.
by bacchusracine | 2026-02-23 16:56:21+00:00
I think the word you're missing is fatigue.

The average tech literate person keep seeing their data breached over and over again. Not because THEY did anything wrong, but because these Corpos can't help themselves. No matter how well the tech literate person secures their privacy it has become clear that some Corpo will eventually release everything in an "accident" that causes their efforts to become meaningless.

After a while it's only human for fatigue to build up. You can't stop your information from getting out there. And once it's out there it's out there forever.

Meanwhile every Corpo out there in tech is deliberately creating ways to track you and extract your personal information. Taking steps to secure your information ironically just makes you stand out more and narrows the pool you're in to make it easier to find you and your information. And again you're always just one "bug" from having it all be for nothing.

I still take some steps to secure my privacy, I'm not out there shouting my social security information or real name. But that's habit. I no longer believe that privacy exists.

To the extent we ever had it in the past was simply the insurmountable restrictions on tracking and pooling the information into some kind of organization and easy lookup. Now that it is easier and easier to build profiles on mass numbers of people and to organize those and rank them the illusion is gone. Privacy is dead. Murdered.

And people are tired of pretending otherwise.