MurphyA/hacker-news huggingface dataset:
Show HN: PolyTell-AI Chrome extension that shows Polymarket odds as you browse
by fengyiqicoder | 2026-02-26 07:42:15+00:00
Hey HN,
I built PolyTell, a Chrome extension that uses AI to analyze news articles and tweets in real time, then surfaces relevant Polymarket prediction market odds directly inside the page — no tab switching required.
How it works:

Visit any news site or scroll your X/Twitter feed
PolyTell's AI reads the content, extracts key events, and matches them against live Polymarket markets
Inline cards appear right below the relevant content showing the market question, current odds, and a one-click bet button

For example, if you're reading an article about tariff policy changes, PolyTell will automatically find the matching Polymarket contract and show you the current price — all without leaving the page.
It supports both English and Chinese, and works with infinite-scroll feeds like X. In the demo video below, you can see it analyzing a news article (5 events matched), then switching to the X timeline where it picks up 10 events and generates 10 bet recommendations across tech, politics, and business categories.
by p0w3n3d | 2026-02-26 07:42:46+00:00
I've checked and there is no difference between podman and docker on my machine.

However when running a spring boot over eclipse-temurin:25-jdk-ubi10-minimal image there is this huge difference

podman run 0.02s user 0.01s system 0% cpu 24.960 total

you can see the java app starting slowly. I've double checked that rosetta is enabled on podman.

% podman machine inspect podman-machine-default
...

"Rootful": true,
"Rosetta": true
}
]
by lnardi | 2026-02-26 07:43:38+00:00
I highly recommend reading this nice write-up by Frans Verduyn Lunel, a 30-year veteran DBA who decided to put the DBtune AI agent to the ultimate test.

After decades of manual tuning in high-pressure financial services, Frans threw everything at DBtune—testing it on hardware ranging from a Raspberry Pi all the way to a MacBook Pro.

The results? What usually takes days of manual tweaking was handled in just 3 hours.

Are you still tuning your PostgreSQL applications the hard way? Give Frans's article a read and let me know your thoughts in the comments!
by Morromist | 2026-02-26 07:43:40+00:00
OpenAI has demonstrated a severe lack of ethics, you're right, it's just hard to know how educated the average consumer is about that. The anthropic-military thing is a big deal but I suspect few outside of the tech world really understand the implications of what's going on.

Anectode: My aunt was talking about how she had a conversation with ChatGPT about how bad OpenAI was and the AI said "we need regulations", and that seemed to satisfy her somehow.
by deaux | 2026-02-26 07:43:49+00:00
I'm not a native speaker and my level of AI recognition is higher than 99.999% of native speakers - and I'd be happy to be tested on it for proof.

The biggest factor is simply how long you've been using LLMs to generate text, how often, how much. It's like how an experienced UI designer can instantly tell that something is off by a single pixel off upon first seeing a UI, whereas if you gave me $200 to find it within 10 minutes I might well fail.
by white_viel | 2026-02-26 07:44:26+00:00
>> interesting. workers.dev domains can be a liability sometimes -- if you've mapped the worker to a real zone, then you probably don't want the workers.dev zone anymore.

maybe that is a good idea, prompt a user to disable the worker.dev domain. however, having the worker.dev domain open for me is more of a backup way to access the worker as the mapped domain is more for a hobby project.

> Interesting. workers.dev domains can be a liability sometimes

what about allowing the specific worker.dev to serve a robots.txt on its own that can be used to disable the AI bots?

i.e https://XXXXXXXXXXX.username.workers.dev/robots.txt should be allowed to be configure on a worker level. not sure how that affects the design of the infra, but it would be a good idea
by rapnie | 2026-02-26 07:44:28+00:00
Data poisoning your own online profile is all nice and well. But in a society that goes beyond itself to cram AI into about every imaginable system, it may not be smart at all. Already in early adopter phase the average person gives way too much authoritative weight to what LLM's come up with. If complex societal processes become basically AI-driven you may get into a world of hurt. "I am sorry, we can't give you that passport right now, until we investigate potentially fraudulent behavior our AI flagged us about".
by grey-area | 2026-02-26 07:44:53+00:00
They generate text based on quite a large context, including hidden prompts we don’t see and their weights are distorted heavily by training. So I think there’s a lot more than a simple probability of word x coming next. That makes ‘predict next word’ a reductive summary IMO.

I do not personally feel it resembles thinking or reasoning though and really object to that framing because it is misleading many people.
by pu_pe | 2026-02-26 07:45:18+00:00
Decoupling would be painful and certainly hardware would be the most difficult challenge. However, consider that for all those companies you mentioned, Chinese alternatives are starting to appear and will be very competitive in the next few years. Europe also has some key strategic cards to play when it comes to hardware, such as access to TSMC.

The most likely scenario in my view is that Europe will be a consumer/bystander in the AI race, not a protagonist. For that, you don't need a lot of hardware. China and the US will compete for the European market, with the US already far ahead and earning billions from European customers. But it can lose that post in the future, either through crazy foreign policy or simply being outcompeted by the Chinese.
by zihao-liu-qs | 2026-02-26 07:45:20+00:00
Hi, I’m the author.

When I start reading a new codebase, I usually want two things:
1) the directory structure (I use tree)
2) the line counts by language (I use tokei)

But I couldn’t easily see where the code is actually concentrated across directories.

So I built treekei. It outputs a file tree with line counts, so you can quickly understand how code is distributed in a project at a glance.

Happy to hear feedback or discuss implementation details.
by whstl | 2026-02-26 07:45:35+00:00
It was even crazier than that, it was four Fender Twin Reverbs!

Considering the amount of watts involved in this, it probably qualifies as rocket science haha

JM: Yeah. The tremolo sound from the intro? That was four Fender Twin Reverbs. Myself controlling the speed of two of them and the producer controlling the speed of the other two. So two amps were recorded on one side of the stereo and the other two on the other side. I recorded the part on the tape without the tremolo, and then I sent the part from tape out to four amps, and he controlled two, and I controlled the other two.

And it took a long time because inevitably the tremolo would go out of time with the track because the tremolo doesn't stay in regular clock time. Also we would go out with each other's amps, so we had to keep looking up at each other after every fifteen second bursts and kind of fess up, "Oh yeah, mine kind of went out of time." It took long time, but I'm glad we did it that way because if we had cut and pasted two seconds of audio, it wouldn't have had the same dynamic quality throughout the six minutes of the song, or however long it is.

https://www.westword.com/music/johnny-marr-on-how-he-created...
by candu | 2026-02-26 07:46:46+00:00
> but people have hundreds and thousands on conversation on these apps that can't be easily moved elsewhere.

Except these aren't conversations in the traditional sense. Yes, there's the history of prompts and responses exchanged. But the threads don't build on each other - there's no cross-conversational memory, such as you'd have in a human relationship. Even within a conversation it's mostly stateless, sending the full context history each time as input.

So there's no real data or network effect moat - the moat is all in model quality (which is an extremely competitive race) and harness quality (same). I just don't think there's any real switching cost here.
by fidorka | 2026-02-26 07:47:00+00:00
Hey Parker, this is really cool! Thanks for sharing. Have you tried using the entire CLI? It might also be a tool which you could compose into your workflow to have better memory of what the agents themselves did in the repo.

Btw, I built something similar to solve the context problem for most of my laptop-based activity.

It's slightly more heavyweight (electron app ingesting screenshots) - that being said I took many similar design decisions (local embeddings, sqlite with vector search and FTS hybrid, MCP extension to claude). Feel free to check it out:

https://github.com/deusXmachina-dev/memorylane
by johnsmith1840 | 2026-02-26 07:47:06+00:00
Because it's a fantasy for an unknown amount of time. 1 year? 10? 50? Never? There hasn't been a single proper breakthrough in continual learning that would enable it. Anyone that studies CL will also get super pissed at it the problem and solution counteract each other to our current understanding but a fruit fly does it no problem!
by lebovic | 2026-02-26 07:48:26+00:00
> Every employee you talk to forced to pretend that the company is all about philanthropy, effective altruism and saving the world

I was an interviewer, and I wasn't encouraged to talk about philanthropy, effective altruism, or ethics. Maybe even slightly discouraged? My last two managers didn't even know what effective altruism was. (Which I thought was a feat to not know months into working there.)

When did you interview, and for what part of the company?

> knowing fully well that we'd do what the bosses told us to do [...] now that real money is on the line

This is a cynical take.

I didn't just do what I was told, and I dissented with $XXM in EV on the line. But I also don't work there anymore, at least one of the cofounders wasn't happy about it and complained to my manager, and many coworkers thought I had no sense of self preservation – so I might be naive.

I think the realistic scenario is that a) most people have good intentions, b) there's a decision that will cause real harm, and c) it's made anyway to keep power / stay on the frontier, with the justification that the overall outcome is better (which it might be). I think an overt "let's scrub the mission" would lead to an exodus.
by friendzis | 2026-02-26 07:49:02+00:00
Explain It Like I'm Five.

From TFA:

> Last month, a developer on your team enabled the Gemini API for an internal prototype.
> The result: thousands of API keys that were deployed as benign billing tokens are now live Gemini credentials sitting on the public internet.

Benign, deployed openly without any access restrictions whatsoever, billing tokens can be used to bill for a service under the account it is enabled for. That's the intended behavior, literally. Maps API keys are used to give your users access to Google Maps on your credit card.

What's the problem here? Yes, the defaults could have been stricter, but it's not like it costs anything to create a bunch of internal projects that do not have good-for-billing access keys floating around open internet. People moved fast, deployed LLM generated code, broke things and then blame everyone else but themselves?
by impossiblefork | 2026-02-26 07:49:23+00:00
Your phone number is personal information, so they are. They aren't allowed to save your phone number from your friend's phone scan in the first place.

Doing that kind of thing is a serious crime. In Sweden it'd be something like "unapproved intelligence activity against a person" with a multi-year prison sentence, since you're gathering data about someone by deceptive means. We're thus not talking about GDPR any more, but about prison sentences for espionage-adjacent stuff.
by ETH_start | 2026-02-26 07:49:39+00:00
I was not trying to start an ideological battle — just pointing out that childcare is not cheaper, it's just paid out of taxes instead of consumer spending.

But if you want to discuss second order effects, what basic economic theory and empirical evidence both show is that the second order effect is less incentive for people to work, and higher rates of children born out of wedlock. The implications of that is higher incarceration rates and other socioeconomic problems as a consequence of the negative effects of being raised in a single parent household.

This is the kind of multi-generational impact that I've found social democracy advocates rarely weigh in their analysis.

In terms of the economic impact, the higher taxes dampens growth, which is exactly why median income is so much lower in the EU than the U.S:

EU Europe average ≈ $30,500

United States ≈ $68,000

A 2018 study shows tax increases significantly reduce innovation. A 1% increase in the top marginal income tax rate leads to a 2% reduction in patents and inventors, while a similar increase in corporate taxes causes even larger declines:

https://www.nber.org/papers/w24982

This shows up in company creation. The United States has vastly more large young companies than the European Union. Looking only at companies started from scratch, and now worth at least $10 billion on the stock market, the EU has about 14 companies worth a combined ~$430 billion, while the US has dozens whose total value is close to $30 trillion — roughly 70 times larger. In fact, the entire EU total is less than half the value of Tesla alone.

You might point to the Nordic countries as examples of welfare success stories, but the Nordics are only proof that a rich, high-trust society can stay rich while paying high taxes. Not proof that high taxes made them rich, or that the model doesn’t slow growth or scale badly elsewhere.

Keep in mind that it was during the Nordics' 100 year free-market era that they got rich. That's when they experienced the massive gains per capita income and average qualify life. On the eve of their experiment with social democratic authoritarianism in the mid 1960s, they were at the very top of global rankings in per capita income and quality life metrics. It wad the preceding 100 years of free market economics that got them there, not social democracy.

Not only has their rate of economic growth slowed since they raised their taxes, there is evidence that they’re losing the high-trust culture that made this model possible in the first place. They’re also losing the work ethic that was built over hundreds of years of hard labor in a cold climate.

More and more people are comfortable lying about being on sick leave, for example. That’s a measurable decline in work ethic. And you simply cannot sustain a high-tax welfare state without an unusually strong work ethic and high trust.
by nextlevelwizard | 2026-02-26 07:51:10+00:00
Is she paying for it? That is the only question that matters in the end.

For myself, I use LLMs daily and I would even say a lot on some days and I _did_ pay the 20€/mo subscription for ChatGPT, but with the latest model I cannot justify that anymore.

4o was amazingly good even if it had some parasocial issues with some people, it actually did what I expect an LLM to do. Now the quality of the 5.whatever has gone drastically down. It no longer searches web for things it doesn't know, but instead guesses.

Even worse is the tone it uses; "Let's look at this calmly" and other repeated sentences are just off putting and make the conversation feel like the LLM thinks I am about to kill myself constantly and that is not what I want from my LLM.
by valenterry | 2026-02-26 07:51:34+00:00
Then you should write assembly only. Like `MOV`, `ADD`... can't really get simpler than that.

Problem is, that makes every small part of the program simple, but it increases the number of parts (and/or their interaction). And ultimately, if you need to understand the whole thing it's suddenly much harder.

Surely you can write the same behaviour in "clever" (when did that become a negative attribute?) or "good" way in assembly. You are correct. But that's a different matter.
by textlanes33 | 2026-02-26 07:51:38+00:00
“React Native is not a dying technology.”

- There is a widespread misconception that “React Native has been discontinued” or that “Meta has abandoned it.”
- This is not true. React Native continues to receive regular updates and is actively discussed at major global conferences.
- The confusion largely stems from Meta’s new product Threads being built with fully native technologies (Swift and Kotlin/Jetpack Compose).
- The rumor that “even Meta has abandoned React Native” is only half true — Threads chose native for product-specific reasons, while React Native remains actively used across many products.

- *Instagram*
- Adopted React Native starting in 2016.
- Achieved 80–99% code reuse, significantly improving development speed.
- Delivered better UX than WebView-based approaches and reduced build times.

- *Facebook Marketplace*
- Core UI surfaces (Seller Hub, product detail pages, profiles, etc.) were built with React Native.
- Implemented complex gestures and animations using tools like PanResponder.
- Meta engineer Blair Vanderhoof: “React Native was key to Marketplace’s growth.”
by raesene9 | 2026-02-26 07:52:41+00:00
They may have used ChatGPT or similar to help with the prose but the technical content (as discussed elsewhere on this page) is good, so does it really matter if they did?

The problem with AI slop (to me) is more that the technical content is not good or is entirely the product of the LLM. At that point, there's no point in me reading it, I can just prompt the question if I'm interested.

This is original research which wasn't public before, so the value is still there and I didn't think whichever combination of a human and LLM that generated it did a bad job.
Show HN: Tspages – static site hosting platform for your Tailscale network
by 9dev | 2026-02-26 07:52:43+00:00
Hey HN! This is a small side project I'm currently working on. With tspages, you can quickly host static websites on arbitrary hostnames in your tailscale network. This is useful for internal documentation or tools that don't warrant their own server or k8s deployment, for example. I was frustrated with the other options - hosting on one of the public providers like Cloudflare Workers or Vercel means having to lock down auth and hope you never screw that up; hosting on an internal web server means you can't have speaking Tailnet names.

So this is kind of a middle ground: tspages let's you create new static websites very easily, say `design-system.funky-animal.ts.net`: Simply drag-and-drop a folder, archive, or file or send it with curl, and the site will be up in a second. Deployments are archived, and you can easily switch to an older deployment via API or UI.

Since tailscale requests carry identity, tspages checks authorization to create, deploy, or view sites against your tailnet policy: You can use an app capability to create different permissions for users or tags. This also allows for some very basic analytics for hosted sites.

Finally, tspages allows to upload a config file alongside your assets to set some configuration parameters for the site, like enable SPA fallback routing, custom headers, or redirection targets.

This project is very young, so there might be some rough edges, but it does work, runs stable, and the capability system is sound. Let me know what you think!
by ageitgey | 2026-02-26 07:53:11+00:00
It's very hard to get a UK work visa normally (and getting a lot harder each year, like in the US), but if you are a HN type with a good tech, start-up, investor, or researcher career, they roll out the red carpet for you.

https://www.gov.uk/global-talent

If you qualify, you get a 'Tier 1' visa where you can work at any company without sponsorship, change jobs at any time just like a citizen, or start your own company with no fear of your visa being tied to a job. You can become a citizen yourself in 5 years.

Source: Am now UK citizen

Various other European countries have similar programs with different requirements. Netherlands, Portugal, and Spain are common places that a lot of US people go depending on what options they have to qualify and where they want to be. Spain has a digital nomad visa right now that is easy to get.
by jamiecode | 2026-02-26 07:53:51+00:00
The reviewer/worker pattern gets tricky when they share state. The pattern I've found that works: each agent owns a separate state partition, and they communicate through a shared message queue (even a simple append-only JSONL file works). Worker writes output + confidence score. Reviewer reads, adds a decision record, worker reads that before retrying.

The key thing to get right: make the retry idempotent. If worker retries the same task, it should produce the same side effects as a fresh run, not double them. This is harder than it sounds when agents are calling real APIs or writing files.

How does OpenSwarm handle the case where worker keeps failing reviewer? Is there a max retry count, and if so, what happens to the Linear issue?
by jamiecode | 2026-02-26 07:54:24+00:00
Running autonomous agents daily confirms this. The brittle part isn't the model — it's the interfaces. An agent that needs to log into a web UI is maybe 30% as reliable as one that calls an API. DOM changes break things in ways that are hard to detect and even harder to recover from gracefully.

The transition you're describing is happening but unevenly. Some tools (Linear, GitHub, Stripe) have solid APIs that agents can use directly. Others are still UI-only or have APIs that feel like afterthoughts. The agents that work in production tend to have strong opinions about which integrations to use based on interface quality, not just feature set.

The broader shift you're pointing at — software designed for agent-to-agent interaction rather than human-to-UI — I'd expect to happen via MCP or similar protocols rather than replacing existing interfaces. The human UI and the agent API can coexist; the economics favor building both.
by skrebbel | 2026-02-26 07:54:24+00:00
I don't understand why you were downvoted, it's a fair question given the context. I don't think I'm autistic, or if I am, it's only slightly. Clearly in this here case my reactions resemble those of someone with autism, and in hindsight I recognize that. So I'll take your question as constructive feedback and try to be less dismissive in the future.
by pushedx | 2026-02-26 07:54:44+00:00
sorry, needed to edit this comment to ask the same question as the sibling:

have you run these models in an agent mode that allows for executing the tests, the agent views the output, and iterates on its own for a while? up to an hour or so?

you will get vastly different output if you ask the agent to write 200 of its own test cases, and then have it iterate from there
by ErroneousBosh | 2026-02-26 07:54:46+00:00
Exactly. It would be awesome if we had viable public transport options in rural areas too, although necessarily they would not be as frequent of flexible as in cities. There wouldn't be the requirement for them so much, because of the lower population density and the different patterns of vehicle use.

But growing up in a rural area where there are two buses a day none of which are useful for anything other than high school pupils (although they're not school buses) it does tend to limit everyone's options.
by nkrisc | 2026-02-26 07:54:48+00:00
So even if they fix the issue, it sounds as though you can still shoot itself in the foot by essentially being at to arbitrarily change an existing key from “not a secret” to “is a secret”?

Even if you have a key that you use for maps (not secret) someone could add the generative AI scope to it and make it now necessarily secret (even though it’s probably already publicly available)?