MurphyA/hacker-news huggingface dataset:
by gordon_freeman | 2025-07-17 17:34:05+00:00
This.

Recently I uploaded screenshot of movie show timing at a specific theatre and asked ChatGPT to find the optimal time for me to watch the movie based on my schedule.

It did confidently find the perfect time and even accounted for the factors such as movies in theatre start 20 mins late due to trailers and ads being shown before movie starts. The only problem: it grabbed the times from the screenshot totally incorrectly which messed up all its output and I tried and tried to get it to extract the time accurately but it didn’t and ultimately after getting frustrated I lost the trust in its ability. This keeps happening again and again with LLMs.
by ghita_ | 2025-07-17 17:34:07+00:00
Hey! Thanks so much! I fixed the link thanks for flagging. Yes the same approach could be used for internet search. The fact that we now have an "absolute score" is very interesting since we can also use a threshold value to determine when an answer simply doesn't exist in a corpus. The only issue is that if all scores are below the cutoff value, you end up discarding them all, and end up with many "I don't know"s. Best approach could just be to flag the "trust" the model has in each source retrieved and use it as such.
by vouaobrasil | 2025-07-17 17:34:21+00:00
Not saying the advice is good or that it should be given, but there are advantages to a lower salary in some cases: less will be expected of you. Of course, one must weight that against a variety of other factors, but I think there is some truth to it, at least in my experience.

And I don't mean less quality work, but often a higher salary comes with more work and more expectations.

Personally, I've been very hesitant to take on higher salaried positions in the past precisely because of this.

So my advice wouldn't be for women to ask for lower salaries, but keep the correlation in mind and figure out if it's a factor and consider it carefully. A higher salary often means less personal freedom. Again, not true in all cases, but true in some.
by kenjackson | 2025-07-17 17:34:55+00:00
It has to earn that trust and that takes time. But there are a lot of personal use cases like yours that I can imagine.

For example, I suddenly need to reserve a dinner for 8 tomorrow night. That's a pain for me to do, but if I could give it some basic parameters, I'm good with an agent doing this. Let them make the maybe 10-15 calls or queries needed to find a restaurant that fits my constraints and get a reservation.
by BrandonM | 2025-07-17 17:35:11+00:00
That assumes academic achievement should be the primary aim of childhood. What I learned in school was incredibly important—don’t get me wrong—but what I learned over the summer was arguably more important.

As a child of divorce, I cherished 6 straight weeks at my mom’s house (we only visited every other weekend during school). As a working class kid, I earned probably half my annual spending money over the summer.

My wife and I now have kids, and we’ve always loved to travel (and needed to just to visit family). Summer is the only time available for extended family trips (2+ weeks).
by AgentMatrixAI | 2025-07-17 17:35:21+00:00
I'm not so optimistic as someone that works on agents for businesses and creating tools for it. The leap from low 90s to 99% is classic last mile problem for LLM agents. The more generic and spread an agent is (can-do-it-all) the more likely it will fail and disappoint.

Can't help but feel many are optimizing happy paths in their demos and hiding the true reality. Doesn't mean there isn't a place for agents but rather how we view them and their potential impact needs to be separated from those that benefit from hype.

just my two cents
by aerostable_slug | 2025-07-17 17:35:34+00:00
I don't think the allegation is that the scientists themselves are who benefits.

Rather, I think the allegation is that it's those involved in renewable energy development schemes that result from the raised alarm, from product vendors to site developers to construction contractors to energy trading firms to... See also: politicians pushing Green New Deal type policies. The scientists are enablers, not the primary beneficiaries, at least as I understand the allegations.
by melesian | 2025-07-17 17:35:39+00:00
I want a Linux phone based on open source hardware. I gave up an iPhone for Android then switched to Pixels. My current Pixel 7 will be my last Google phone. I want out of the surveillance economy. I want AI assistance as badly I want a hole in the head.

I carry an 8 inch tablet (fits in a jacket pocket) and do most of my mobile web, email, podcast listening etc. on that, using my phone as a hotspot. Can't buy a new 8 inch tablet with a fingerprint reader. Got a couple of 2nd hand ones on eBay and will soon look at putting LineageOS on them (they have out of date versions of Android).
by cameldrv | 2025-07-17 17:35:50+00:00
This was exactly my experience years ago. I tried and failed to make a running habit several times until I got a heart monitor. When I finally did, I figured out that the pace I thought was what I “should” be running at was actually putting my heart at 185-190 and I was just getting wiped out after a mile or so.

Anyhow I just slowed down to keep my heart more like 140-160 and at the beginning I would even run three minutes and walk one, but I managed to get up to half marathon distance.

These days I don’t go all that far but I do about 3-4 miles 3 times a week. I don’t go very fast either but I feel healthier mentally and physically when I’m consistent.

Honestly it’s not clear to me that trying to go really far or fast is even all that healthy. It can actually lead to heart damage and it’s hard on your joints. Doing something more moderate seems like the sweet spot.
by npip99 | 2025-07-17 17:35:55+00:00
Bradley-Terry and Elo scores are equivalent mathematical models! The fundamental presumption is the same Thurstone model - that an individual's skill in a particular game is a normally distributed random variable around their fundamental skill.

We did experiment with a Bradley-Terry loss function (https://hackmd.io/eOwlF7O_Q1K4hj7WZcYFiw), but we found that even better was to calculate Elo scores, do cross-query bias adjustment, and then MSE loss to predict the Elo score itself.
by rafaelm | 2025-07-17 17:36:29+00:00
There are cases where Google might find a URL blocked in robots.txt (through external or internal links), and the page can still be indexed and show up in the search results, even if they can't crawl it. [1].

The only way to be sure that it will stay out of the results is to use a noindex tag. Which, as you mentioned, search engine bots need to "read" in the code. If the URL is blocked, the "noindex" cannot be read.

[1] https://developers.google.com/search/docs/crawling-indexing/... (refer to the red "Warning" section)
by gonzobonzo | 2025-07-17 17:36:37+00:00
The episode only portrays education before school in a negative light, though. It's message isn't "it's fine to teach kids before they enter school and after they enter school, but you shouldn't badger them." Characters continually say that it's wrong to try to teach kids these things before they enter school, or that if a kid doesn't want to learn them before they enter school parents are wrong to try.

In 1462, look at around 12:30, Elaine is trying to teach Tuesday, who doesn't want to learn, he wants to leave. So Mr. McFeely objects by saying that Tuesday doesn't need to learn them before he goes to school.

Then look at 17:15. Elaine says that Tuesday needs to study, and Aberlin immediately objects saying that he hasn't started school yet. When Elaine says that school is about learning numbers and letters, Aberlin says that that's not true "according to the real teacher." Followed by Mr. Rogers saying that Elaine thinks that everything about school needs to be hard and boring, and that's just not the way it is. But "parents trying to teach you about numbers and letters just want things to be hard and boring" isn't a good message, to say the least.

You're right that Elaine is portrayed as being mean, but that's part of the problem. It feels very much like a negative caricature. No one is saying "here's a good way to teach kids before school," they're all saying "don't be so mean, they don't need to learn these things."

I don't feel so easy about a show teaching very young children that their preferred approach to child rearing is morally correct and other approaches are morally wrong.

(Thanks for a link to the episodes, by the way. 1462 and 1463.)
by Gormo | 2025-07-17 17:36:49+00:00
> There is no friction. It's trivial to write a program that can scrape a Gemini network.

It's not trivial at all. First, you have to want to do it, then you have to commit time and effort to doing it, then you have to maintain the solution you deploy specifically for Gemini in parallel to your web scraping architecture.

> If there is no one pulling data from Gemini servers yet, is not because it's difficult do it, but merely because it's still too small to be relevant.

Exactly. But it if was using web tech, all of the existing web scrapers could just be pointed at it with minimal effort. So using a separate, custom tech stack is what keeps the threshold of effort in front the threshold of desire.

And using a separate tech stack also creates intentional friction in terms of new user adoption, keeping it slow and maintaining the protocol's niche status. So this also helps keep that threshold of desire distant.
by giardini | 2025-07-17 17:37:28+00:00
BFD. Sounds like a bad model, bad data or numerical analysis bug(s)! Or a poor attempt to support a political view by invoking math and data. Oooohhh! Scary!

Every time I have a problem like this, I question and examine my assumptions, data and model until I find the cause.Why would he believe their model & data should do anything reasonable at all?

The hubris is pouring off this article and I don't know whether it is from the author of the marketplace.org article, the researcher Kent Smetters, some unknown peer-reviewed paper(s) or what???

The relevant part of the article:

-----------------------------------------------------

"They made a model of the entire U.S. economy, which required a lot of computing power. “This math problem was a big one,” Smetters said. “And the model computations are about 20,000 times bigger than our standard model.”

Smetters borrowed some computing help from Amazon and NASA and then he and his colleagues then fed the entire U.S. economy in all of its complicated glory into this mega-model. And the U.S. economy… could not compute.

“Their economic models crashed when trying to project out the economy over the long term,” said Jessica Riedl, an economist with the Manhattan Institute who studies the budget. “We cannot even model out a functioning long-term economy under current debt projections.”

The crash itself: not super cinematic, said Smetters. No flashing red letters, no skull and crossbones, no lightning bolt, just a few words that make a macroeconomist’s blood run cold:

Model not converging.

“The model's trying to find what's called a fixed point where everything just adds up, everything's consistent, and it's not able to do that,” Smetters explained.

In other words, if the debt keeps rising at its current rate and we just do not deal with it, even thousands of NASA and Amazon computers all working together cannot get the math to math.

“Really, it's a question of how far can we go before the bond market says, ‘I just don't believe that you're gonna pay us back,’” explained Smetters. "

-----------------------------------------------------

So they

1) Picked/built an economic model,

2) fed more data into the model than had been done before and

3) the model failed. So they then

4) drew hard conclusions about the US economy from the model's failure to converge! and

5) published (although I see no reference to a peer-reviewed article.)

-----------------------------------------------------
by bee_rider | 2025-07-17 17:37:40+00:00
A major reason I haven’t really tried any of these things (despite thinking they are vaguely neat). I think I will wait until… 2026, second half, most likely. At least I’ll check if we have local models and hardware that can run them nicely, by then.

Hats off to the folks who have decided to deal with the nascent versions though.
by jaredsohn | 2025-07-17 17:37:41+00:00
What I've seen work is every once in awhile start with a new board but don't delete the old one. Instead, you can copy / link details to the new board when things become relevant.

You can also occasionally search through the old board to 'steal' ideas that have already had some discussion. But you don't have to worry about the old board going stale.

I do the same personally with todo lists.
by kevinmpeterson | 2025-07-17 17:38:02+00:00
We don't have any relationship with Trimble or Topcon, but yes much more advanced capabilities on the machine. On caving/shoring - ideally we avoid having people in at least some of the trenches... if you can dig a trench and lay a pipe down without manipulating it by (human) hand, then trench collapse is less of an issue. Obviously doesn't work for everything, but we have LIDAR on board, so we can handle surveying remotely without someone standing in a cut with a stick.

Faulty geotechnical - I'd be interested in understanding how the operator helped here. Will take time, but anything the operator is doing (watching subsidance, feeling the ground, watching a wall collapse, confirming that the ground is actually what you think it is), will be doable with the sensors we have on board. The operator we're building will have many lifetimes of experience, so will be able to learn things that even the best operators can't. We saw this at Waymo (now at 100 million miles!!!!) - it seems like magic, but if you had 1000 lifetimes of experience, you'd be incredibly good at very subtle things like this.
Show HN: Lattix – A native macOS launcher for project-based workspaces
by AbjMV | 2025-07-17 17:38:32+00:00
Hey HN,

Lattix is a 100% local macOS workspace/app launcher that can launch entire app and file layouts across multiple monitors. I built Lattix to solve a personal pain point: constantly setting up the same apps, tabs, files, and their window layouts every time I switch between projects or contexts. Built using SwiftUI.

Would love your feedback or ideas — happy to answer anything!
by godelski | 2025-07-17 17:38:52+00:00
I don't think you're wrong, I just don't think those signals are very strong. I do think they used to be stronger, but paper discovery isn't really dominated that way anymore. Word of mouth was always common, but now that's expanded to social media as well as things like Google scholar or semantic. Hell, most journals and conferences are hard to search through. Maybe I'll land on their page from a Google search of the paper or when looking for those topics, but that's not any different from ArXiv. And truth is that I still have to do the same thing when landing in either location. I still have to read the abstract, give it a sniff test, and read it to varying depth depending on what's needed. There's a signal, I just haven't found it to be that meaningful
by massung | 2025-07-17 17:39:04+00:00
Walk me through the chain you’re thinking of. I want to understand it better.

If you’re thinking that - for example - someone is attempting to log into my account online and simultaneously call me pretending to be the bank. They are presented with an MFA check and tell me they initiated it. I give it to them unwittingly, and note they are in.

My understanding is that isn’t possible here, because this “MFA check” is different than the login one. The login one is the “Google Authenticator, 6 numbers”. This is a different code entirely. Obviously I didn’t specify that in the original post. My bad.

If that wasn’t what you were thinking and you can think of how this fails, I need to know and learn more!
by pjmlp | 2025-07-17 17:39:20+00:00
Not really, because one thing that apparently I haven't gotten across is that they don't cover semantic changes, only grammar ones for the most part.

What is the compiler supposed to generate if code from edition X calls code in edition X + 10, with a lambda written in X + 5, expecting using a specific language construct that has changed semantics across editions, maybe even more than once?

Everything compiling from source, same compiler.
by kevincox | 2025-07-17 17:39:31+00:00
Exactly. If you don't advertise what is good or bad through word-of-mouth and true reviews then the primary method of learning and evaluating productions is paid marketing. As you may suspect the opinion given by paid marketing is not reflective of product quality. This means that product quality has very little influence on market selection and we end up with tons of crap like we do now.

Information from trusted independent sources is the most useful tool we have to actually incentivize the market to actually create quality products that actually provide value to their users.
by behnamoh | 2025-07-17 17:40:04+00:00
> Things like Apple are aberration.

This used to be a good example of innovation that is hard to copy. But it doesn't apply anymore for two reasons:

1. Apple went from being an agile, pro-developers, creative company to an Oracle-style old-board milking-cow company; not much innovation is happening at Apple anymore.

2. To their surprise, much of what they call "innovative" is actually pretty easy to replicate on other platforms. It took 4 hours for Flutter folks to re-create Liquid Glass...
by baxtr | 2025-07-17 17:40:10+00:00
I really like Notion’s information architecture (in particular the top index pages) and its multi-user capability.

I tried some other tools like Confluence and Obsidian but like you say, there seems to be no match from a UX perspective.

Do I love Notion? Definitely not. Would I change to another tool with the same feature set? Instantly.
by Topfi | 2025-07-17 17:40:38+00:00
Whilst we have seen other implementations of this (providing a VPS to an LLM), this does have a distinct edge others in the way it presents itself. The UI shown, with the text overlay, readable mouse and tailored UI components looks very visually appealing and lends itself well to keeping users informed on what is happening and why at every stage. I have to tip my head to OpenAIs UI team here, this is a really great implementation and I always get rather fascinated whenever I see LLMs being implemented in a visually informative and distinctive manner that goes beyond established metaphors.

Comparing it to the Claude+XFCE solutions we have seen by some providers, I see little in the way of a functional edge OpenAI has at the moment, but the presentation is so well thought out that I can see this being more pleasant to use purely due to that. Many times with the mentioned implementations, I struggled with readability. Not afraid to admit that I may borrow some of their ideas for a personal project.
by vjvjvjvjghv | 2025-07-17 17:40:58+00:00
If there is one thing I have learned it's that most people who make it to the top in business or politics are great actors and storytellers who can express empathy in a very convincing way when needed. They may even believe it at the moment. But if it benefits them, they will still make brutal decisions without any regard towards the lives of people who are affected by the decisions.
by nlarew | 2025-07-17 17:41:01+00:00
How do you know GP isn't a woman?

More broadly, can a comment on a forum thread that isn't directed at anyone in particular really be considered "mansplaining"? I consider that term to mean something like "a man explaining something to a woman because he assumes she doesn't know".

Just because the topic is about women doesn't mean a man can't post a thought that is relevant and (mildly) thought provoking.
by travelalberta | 2025-07-17 17:41:23+00:00
I think this is my favorite part of the LLM hype train: the butterfly effect of dependence on an undependable stochastic system propagates errors up the chain until the whole system is worthless.

"I think it got 98% of the information correct..." how do you know how much is correct without doing the whole thing properly yourself?

The two options are:

- Do the whole thing yourself to validate

- Skim 40% of it, 'seems right to me', accept the slop and send it off to the next sucker to plug into his agent.

I think the funny part is that humans are not exempt from similar mistakes, but a human making those mistakes again and again would get fired. Meanwhile an agent that you accept to get only 98% of things right is meeting expectations.
by Gormo | 2025-07-17 17:41:30+00:00
> I actually don't know of any other way to get them.

You can't actually get podcasts per se at all from YouTube. YouTube rehosts podcasts as YouTube channels, and doesn't itself expose podcast feeds.

Lots of people subscribe to podcasts through Apple Podcasts, Spotify, a long tail of various aggregators, or just directly subscribing to podcast feeds in their favorite apps.
by NoGravitas | 2025-07-17 17:41:45+00:00
CEOs know that superintelligence is the only way their unbelievable investments will pay off, and they probably also know that they won't (if they don't know, they certainly don't care). But what's important is convincing investors that a mature industry (IT) is still in an exponential growth period, and they are absolutely willing to hype anything that can do this, up until the point it can't. Thus blockchain and all its applications, now generative AI.
by nyarlathotep_ | 2025-07-17 17:41:48+00:00
I'm the first to attack "useless busywork" employees, but my experience at a large, uh, software firm at this time was there were loads of "promo doc"/pet projects going on.

There were plenty of people working very hard on things that had no path to profitability/utility (beyond the attempt to get higher-ups promoted for "showing impact" or "ownership") or whatever. This was paired with incentives at this time for managers to have more underlings.

I have no idea of the ratio of this to "day in the life" TikToks, but there were lots of people working on things that had no utility or time horizon to be "valuable" in the business sense.
by david38 | 2025-07-17 17:42:51+00:00
So someone is anointed with the right to decide what cultural facts should be revealed or not?

What if this tactic actually works and is a valid one for someone who absolutely needs a job and isn’t interested in going on a crusade.

Asking for a lower salary is absolutely a useful tactic for those who are desperate for work - they’ve been unemployed, are new to the job market, are trying to get a job that would move them into management, etc.

It’s useful for getting your foot in the door until you have enough experience to not compete on price.

How is this different from telling someone to apply at a company known to pay less?

I’ve done this myself, and it worked - I got the job.

What you’re demonstrating is known as a luxury belief.
by SlavikCA | 2025-07-17 17:43:16+00:00
That is the problem. LLMs can't be trusted.

I was searching on HuggingFace for the model which can fit on my system RAM + VRAM. And the way HuggingFace shows the models - bunch of files, showing size for each file, but doesn't show the total. I copy-pasted that page to LLM and asked to count the total. Some of LLMs counted correctly, and some - confidently gave me totally wrong number.

And that's not that complicated question.
by DebtDeflation | 2025-07-17 17:43:48+00:00
I was super disappointed by the recent "18A will be an internal only node, 14A will be for external customers" announcement. Immediately reminded me of "we're skipping 20A because 18A is better than expected". If Panther Lake on 18A gets delayed again beyond Q1 2026, it's pretty much over for Intel as we know it and the foundry will get spun off in late 2026.