MurphyA/hacker-news huggingface dataset:
by ssl-3 | 2026-02-17 20:17:24+00:00
> The fair comparison would be intermittently transmitting a string of data versus intermittently operating a radio receiver, wouldn't it?

Good point. I don't know that this would actually work with BLE, as implemented on our pocket supercomputers (which I presume to be a useful part of the support system of a modern pacemaker).

But if we change the requirements to "Some kind of maybe not-even-invented-yet RF thing, maybe with a rechargeable translator device that a person keeps in their pocket to convert to BLE when that's useful" then: Sure. Intermittent receive could be used instead.

Whether that's more efficient or not is an interesting problem.

Transmitters tend to use more instantaneous power (ie, Watts) than receivers do, but a transmission can be very, very short. It doesn't care whether anything is listening or not. Transmitter wakes up, blurts out what it has to say, and goes back to sleep.

If a chunk of BLE data of this size takes 1ms of transmit time (it might), and it happens every 60 seconds (it might), then that's transmitting for 1.44 seconds per day.

So total consumed power over time (ie, Joules per day, or whatever) can be very low. That's part of how we got here -- BLE is built around this concept, and it all converges to make this easy to accomplish.

Meanwhile: An intermittent receiver tends to use less instantaneous power, but it usually needs to operate for a longer period. It wakes up and actively listens for instructions for a period of time. If none are received, then it goes back to sleep. Synchronizing free-running clocks is hard (and disciplining them is expensive, power-wise, compared to a sleep state), so maybe that receive window is 50ms every minute. Worst-case: The receiver operates for 72 seconds per day.

Even if receiving uses just 1/10th the instantaneous power as transmitting does (this is probably in the right ballpark), then the intermittent receiver still uses a ton more power over time -- especially if there are no transmissions to receive. (The receive window obviously closes if/when a transmission is received, so having something to hear can improve this some.)

But the end goal isn't just to wake the pacemaker up by pinging it. The end goal is for it to transmit data. So we still get to wake up the transmitter and have it do that.

Now, these are all made up numbers -- I think they're somewhere near reality, but maybe not. But it seems like kind of a double-whammy, to me, compared to intermittent transmit. :)
Show HN: Palettepoint – Create AI and Nature powered color palettes in seconds
by latentio | 2026-02-17 20:17:26+00:00
I built this because choosing colors is one of those tasks that seems simple but ends up taking hours. You keep randomizing and nothing feels right, or you browse inspiration boards hoping something works. So I made a tool where you describe what you need.
Type "warm Japanese autumn" or "90s rave flyer" and pick a style (analogous, triadic, monochromatic, etc.) and how many colors (3-7). It returns a named palette with descriptions. It works with images too: upload a photo and it extracts a palette. You can combine both, so uploading a photo and adding "make it cooler" works. It runs on GPT-5.2 with vision.

You can export palettes as CSS variables, SCSS, Tailwind config, or JSON. Copy individual colors in hex, RGB, HSL, or CMYK. There's a live preview that shows the palette applied to buttons, cards, and UI components so you can evaluate it before committing.

There's also a gallery with curated palettes you can browse, filter by style, and favorite. Each palette has its own shareable link.

There's also a set of free tools : - Color converter (paste a hex code, get every format) - Contrast checker (WCAG AA/AAA) - Color mixer - Gradient generator - Image color extractor - Manual palette builder

I'd love to hear your thoughts. What's missing? What would make this your go-to color palette tool?

https://palettepoint.com
by ricree | 2026-02-17 20:17:41+00:00
>Many kids who placed highly in the Westinghouse Science Talent Search ended up winning Nobel Prizes later in life

Do you happen to have a list available? I saw a few among the winners, but I wasn't able to find much about non-winning top placers.

The ones I could find won their Nobel much later than their Talent Search win (40+ years, and in one case more than 60 years after), so it might be premature to rule out the more modern contestants. (at least based on that alone)
by GregorStocks | 2026-02-17 20:17:41+00:00
Oh, fascinating - I didn't realize they released actual replay data publicly. It doesn't look like it's quite as rich as I'd like, though - it only captures one row per turn, so I don't think you can deduce things like targeting, the order in which spells are cast, etc.

(I also thought about pointing it at my personal game logs, but unfortunately there aren't that many, because I'm too busy writing analysis tools to actually play the game.)
by BizarroLand | 2026-02-17 20:17:54+00:00
Handy appears to keep the audio clips, It does have a section in the settings to limit how many of those it keeps and there does not appear to be an upper limit, but it does have to be manually set. (I set mine to 99,999).

It would be nice if below 0 it had a -1 option to keep all recordings.

https://handy.computer/
by elevaet | 2026-02-17 20:18:51+00:00
There were lots of places in the USA that (as a Canadian) my family and friends loved visiting - Kauai for hiking and beaches, Mt. Baker for skiing, bay area for all the weird stuff that goes on there, Nevada for that thing in the desert, Oregon coast for surfing, Utah-area parks like you said, hiking in Washington.

Lots of amazing outdoor adventures to be had in the USA. Now days I don't know anyone that goes to the states.
by toomuchtodo | 2026-02-17 20:18:53+00:00
No, the problem was that increased contributions [that would've ensured solvency with lower market returns and/or extended life expectancy] would've cost more sooner, and no one wants to pay more. So, we "extend and pretend" using generous return assumptions and when those assumptions are not borne out in reality, we simply shrug. Similar to $39T in US treasuries someone will need to pay back. Only the top 40% of Americans have enough income to have a federal tax liability, so who is going to pay this debt back? Different sides of the same coin. What is a debt after all besides a promise to pay.
by bsimpson | 2026-02-17 20:18:54+00:00
It's funny to see this all go full circle. messenger.com was spun out of facebook.com to try to build a new platform. They promised interoperability with Instagram and WhatsApp accounts, although they never did a good enough job that you could just use one account across them.

Facebook really could have been the default identity online provider if they weren't such an abhorrently shitty company. In the early days, you wouldn't even ask for someone's number - you'd just chat on Facebook.
by famouswaffles | 2026-02-17 20:18:54+00:00
>They still make these errors on anything that is out of distribution. There is literally a post in this thread linking to a chat where Sonnet failed a basic arithmetic puzzle: https://news.ycombinator.com/item?id=47051286

I thought we were talking about actual arithmetic not silly puzzles, and there are many human adults that would fail this, nevermind children.

>LLMs can match an example at exactly that trivial level because it can be predicted from context. However, if you construct a more complex example with several rules, especially with rules that have contradictions and have specified logic to resolve conflicts, they fail badly.

Even if that were true (Have you actually tried?), You do realize many humans would also fail once you did all that right ?

>They can't even reliably play Chess or Poker without breaking the rules despite those extremely well-represented in the dataset already, nevermind a made-up set of logical rules.

LLMs can play chess just fine (99.8 % legal move rate, ~1800 Elo)

https://arxiv.org/abs/2403.15498

https://arxiv.org/abs/2501.17186

https://github.com/adamkarvonen/chess_gpt_eval
by NoMoreNicksLeft | 2026-02-17 20:19:07+00:00
I don't think that it's falling apart. Rather, there are undeniable mathematically-confirmable trends that bode ill. And I don't know that what I have is so much optimism as it is boneheaded stubbornness and some degree of wishful thinking. Maybe that's the same thing though, no one ever really explained the distinctions to me.
Show HN: O-O – HTML files that update themselves
by jahala | 2026-02-17 20:19:11+00:00
I just wanted access to information that updated itself at some interval, without having to run my own server, deal with databases etc. Its also nice that I can share files with others and it mostly just "works" since its html. I also wanted to have a bit of fun.

So .. No server, no database, no build step. The file is the "app".

Each .o-o.html file is a polyglot — valid HTML and valid bash. Open it in a browser to read a formatted article with TOC, citations, and images. Run it with bash to have an AI agent research the web and rewrite the article in-place with fresh information.

open article.o-o.html # read it

bash article.o-o.html # update it

Every document embeds an update contract — a JSON block that tells the agent what to research, which sections to maintain, what sources to trust, and how much to spend. The agent reads the contract, searches the web, and surgically edits only the <article> content, manifest, and source cache. The shell never sees the article text.

```

bash index.o-o.html --new <-- create your own article

bash your-article-title.o-o.html <-- populate / update the article

bash index.o-o.html --update-all <-- update and index all articles in the filder

```

The index file doubles as a library manager — it generates new documents from a template and batch-updates stale ones.

Requirements: bash 3.2+ and the Claude Code CLI. No Python, Node, or jq.

https://github.com/jahala/o-o
by atoav | 2026-02-17 20:19:17+00:00
Well the problem I see with this is that the population means very little in terms of national politics in comparison to most modern democratic nations.

So you can be California which in terms of population and GDP will surpass most of central America combined and it still just gets two representatives. Now I get that the idea here was to avoid a dictatorship of the majority that can just ignore smaller states, but the way it is now it is a dictatorship of the minority, even if you ignore all the blatant ways of voter disenfranchisement.

Sorry to all Republicans on here, but if your party needs to prevent people from voting to win, that also hurts you. Ideally you'd want a party to have to listen to their voters. Gerrymandering, predicting voter behavior and throwing out the ones who might not vote for you are all the shameful behavior of traitors to democracy.

This has to be stopped and punished on every political level, as long as you still have a say.
by toomuchtodo | 2026-02-17 20:19:57+00:00
India's Solar Manufacturing Excesses Turn a Boom into a Glut - https://news.ycombinator.com/item?id=47050286 - February 2026

Ember Energy: India’s electrotech fast-track: where China built on coal, India is building on sun - https://ember-energy.org/latest-insights/indias-electrotech-... - January 22nd, 2026

(India currently has 154.4GW/year of solar manufacturing capacity, 3x the country's current annual demand)
Show HN: LLMs playing Poker, build your own bot or hook it up to an LLM and join
by ericlmtn | 2026-02-17 20:20:04+00:00
Ever seen that picture of a university CS Poker tournament where that one bot kept going all in and won? You have the chance to build that in Pokai -- a platform for testing Poker bots. Come build a bot, or just watch the LLMs already hooked up and playing there.
by michaelcampbell | 2026-02-17 20:20:10+00:00
> My gut feeling is that this is way harder than most people think

I've had this feeling for a while too; partially due to the screeching of "putting your ssh server on a random port isn't security!" over the years.

But I've had one on a random port running fail2ban and a variety of other defenses, and the # of _ATTEMPTS_ I've had on it in 15 years I can't even count on one hand, because that number is 0. (Granted the arguability of that's 1-hand countable or not.)

So yes this is a different thing, but there is always a difference between possible and probable, and sometimes that difference is large.
by wongarsu | 2026-02-17 20:20:15+00:00
Keep in mind that the people who experience issues will always be the loudest.

I've overall enjoyed 4.6. On many easy things it thinks less than 4.5, leading to snappier feedback. And 4.6 seems much more comfortable calling tools: it's much more proactive about looking at the git history to understand the history of a bug or feature, or about looking at online documentation for APIs and packages.

A recent claude code update explicitly offered me the option to change the reasoning level from high to medium, and for many people that seems to help with the overthinking. But for my tasks and medium-sized code bases (far beyond hobby but far below legacy enterprise) I've been very happy with the default setting. Or maybe it's about the prompting style, hard to say
by tim333 | 2026-02-17 20:20:15+00:00
My first direct app is similar. The "Generate a security code" button only appears on the login screen, not after you've logged in. It used to be covered by a pop up. Now when I open the app it auto logs me in with face ID and I have to actively log out to get to it. The code in my case is used to log into their website. The first time I tried I had to phone them and say "eh? how's it work?"
by Topfi | 2026-02-17 20:20:19+00:00
In my evals, I was able to rather reliably reproduce an increase in output token amount of roughly 15-45% compared to 4.5, but in large part this was limited to task inference and task evaluation benchmarks. These are made up of prompts that I intentionally designed to be less then optimal, either lacking crucial information (requiring a model to output an inference to accomplish the main request) or including a request for a less than optimal or incorrect approach to resolving a task (testing whether and how a prompt is evaluated by a model against pure task adherence). The clarifying question many agentic harnesses try to provide (with mixed success) are a practical example of both capabilities and something I do rate highly in models, as long as task adherence isn't affected overly negatively because of it.

In either case, there has been an increase between 4.1 and 4.5, as well as now another jump with the release of 4.6. As mentioned, I haven't seen a 5x or 10x increase, a bit below 50% for the same task was the maximum I saw and in general, of more opaque input or when a better approach is possible, I do think using more tokens for a better overall result is the right approach.

In tasks which are well authored and do not contain such deficiencies, I have seen no significant difference in either direction in terms of pure token output numbers. However, with models being what they are and past, hard to reproduce regressions/output quality differences, that additionally only affected a specific subset of users, I cannot make a solid determination.

Regarding Sonnet 4.6, what I noticed is that the reasoning tokens are very different compared to any prior Anthropic models. They start out far more structured, but then consistently turn more verbose akin to a Google model.
by AshamedCaptain | 2026-02-17 20:20:37+00:00
> The fact that there are comments misunderstanding the article, that are talking about PCB Design rather than (Silicon) Chip Design, speaks to the problem facing the chip industry. Total lack of wider awareness and many misunderstandings.

No, there is no misunderstanding. Even the US companies mentioned _in the very article_ that have both software and "chip design" roles (however you call it) will pay more to their software engineers. I have almost never heard of anyone moving from software to the design side, but rather most people move from design side to software which seems like the more natural path.
by properbrew | 2026-02-17 20:20:40+00:00
I don't think it's a case that no one liked it, there's just too much going on that it probably never came across the right eyes.

I linked one of my projects in a post and it got some really good responses. I did a bit more work on it and posted a Show HN thinking a few people might be interested but it got 0 traction.

I even made it a point to go on the new Show HN and checkout some peoples projects (how can I expect anyone to check mine out if I'm not doing the same) and it is hard to keep up.

I have another app that I've been working on for the past 3 months and whilst I want to do a Show HN to discuss how I built it, the moments I was banging my head on the wall working on a bug etc, I sadly wonder if there's any point.
by Veserv | 2026-02-17 20:20:59+00:00
It is important to note that this is with safety drivers. Professional driver + their most advanced "Robotaxi" FSD version under test with careful scrutiny is 4x worse than average non-professional driver alone and averaging 57,000 miles per minor collision.

Yet it is quite odd how Tesla also reports that untrained customers using old versions of FSD with outdated hardware average 1,500,000 miles per minor collision [1], a literal 3000% difference, when there are no penalties for incorrect reporting.

[1] https://www.tesla.com/fsd/safety
by miki123211 | 2026-02-17 20:21:15+00:00
Many reasons:

1. To DeDoS a Teamspeak server, it's enough to DeDoS a single server. You may not even need to do that, it may be enough to be such a nuisance that their host kicks them out. To DeDoS a Discord server, it's necessary to DeDoS the entirety of Discord, which is much, much harder, and also much more likely to put you in legal hot water. Discord is the Cloudflare of gaming.

2. Discord servers aren't real servers, they're tenants in an application, effectively "rows in an SQL table", not standalone containers requiring their own tech stack. This means they can be offered for free. You also can't abuse them for E.G. crypto mining, like you can with a VPS where a Teamspeak server can be hosted. Free increases adoption, which makes people a lot more likely to pay for extra features. It's the standard "the rich subsidize the poor" model, common to so many web applications.

3. No technical expertise necessary to set a server up. Bus factor is basically equal to infinity.

4. One service, one account, one interface, many servers, many groups, many people. There's no weird workspace switching and per-workspace DMs like in Slack (not sure how TS does this). If you log in once on a new device, all your server memberships are there, and everything just works. You may be in dozens of servers, and they're all behind the same single login.

Those 4 features are table stakes now, like it or not. If you want to be a real, long-term Discord competitor and attract real users, you have to figure out how to get those 4.
by JoshTriplett | 2026-02-17 20:21:18+00:00
> Probabilistic prediction is inherently incompatible with deterministic deduction.

Human brains run on probabilistic processes. If you want to make a definition of intelligence that excludes humans, that's not going to be a very useful definition for the purposes of reasoning or discourse.

> What if 1 + 2 is 2 and 1 + 3 is 3? Then we can reason that under these constraints we just made up, 1 + 4 is 4, without ever having been programmed to consider these rules.

Have you tried this particular test, on any recent LLM? Because they have no problem handling that, and much more complex problems than that. You're going to need a more sophisticated test if you want to distinguish humans and current AI.

I'm not suggesting that we have "solved" intelligence; I am suggesting that there is no inherent property of an LLM that makes them incapable of intelligence.
by someotherperson | 2026-02-17 20:21:26+00:00
You can still use Beeper[0] and similar. The key issue with this type of application is that some networks have put more resources to detecting them and gotten more hostile to users of it - mostly those who tie ad revenue directly to messaging (although officially it's to avoid spam + detect compromised accounts).

[0] https://www.beeper.com/
by potsandpans | 2026-02-17 20:21:35+00:00
This comment is another example of an "llm psychosis" that is currently occuring in common discourse.

The mass delusion of, "I don't understand what I'm reading, therefore it must be produced by an llm."

I think it's a pretty serious problem. Not that llm text exists on the internet, but that reasonable people are reflexively closed off to creativity because the mere existence of the possibility that something is created by an llm is in their minds grounds for disqualification.
by nicole_express | 2026-02-17 20:22:09+00:00
They just now changed how they enforce the rules. Of course they have a legal pretense for their action; everyone has a legal pretense.

These rules have generally not been enforced this broadly because the expectation is that they wouldn't actually stand up to First Amendment scrutiny, should it make it to the Supreme Court. Of course, CBS is at no risk of suing the administration if Paramount wants any chance of buying Warner, so in this case they can restrict as they please.
by ftmedia | 2026-02-17 20:22:12+00:00
I work at a company that’s been building OptionsPro, an options trade journal focused specifically on multi-leg strategies.

We started working on this because most trade journals treat options as stock trades, adding extra fields. That works until you’re trading verticals, iron condors, calendars, or rolling positions. Broker APIs expose executions, not strategies, so reconstructing spreads and calculating meaningful P&L quickly becomes messy.

OptionsPro focuses on:
- Reconstructing multi-leg strategies from raw executions
- Showing realized vs. unrealized P&L clearly
- Surfacing Greeks and exposure in one place
- Keeping the interface simple enough for non-institutional traders

It’s still early and intentionally focused on correctness over polish. I’d really value feedback from anyone who has worked with brokerage APIs or financial data modeling, especially around:
- Strategy grouping logic
- Expiration and assignment handling
- Edge cases that tend to break P&L accounting

Happy to answer questions or go deeper on the architecture.
by themafia | 2026-02-17 20:22:50+00:00
> are bringing a bad name to the entire field of autonomous driving.

A small number of humans bring a bad name to the entire field of regular driving.

> The average consumer isn't going to make a distinction between Tesla vs. Waymo.

What's actually "distinct?" The secret sauce of their code? It always amazed me that corporate giants were willing to compete over cab rides. It sort of makes me feel, tongue in cheek, that they have fully run out of ideas.

> they will assume all robotic driving is crash prone

The difference in failure modes between regular driving and autonomous driving is stark. Many consumers feel the overall compromise is unviable even if the error rates between providers are different.

Watching a Waymo drive into oncoming traffic, pull over, and hear a tech support voice talk to you over the nav system is quite the experience. You can have zero crashes, but if your users end up in this scenario, they're not going to appreciate the difference.

They're not investors. They're just people who have somewhere to go. They don't _care_ about "the field". Nor should they.

> dangerous and irresponsible.

These are, in fact, pilot programs. Why this lede always gets buried is beyond me. Instead of accepting the data and incorporating it into the world view here, people just want to wave their hands and dissemble over how difficult this problem _actually_ is.

Hacker News has always assumed this problem is easy. It is not.