skysight-inc/HackerNews huggingface dataset:
> The value of that term, known as the rate of pass-through, isn’t obvious and depends on how companies behave. If foreign exporters cut prices to fully offset the tariffs, leaving import prices unchanged, the pass-through would be zero. Alternatively, it could equal 100 percent if exporters don’t budge, which means import prices would rise in step with the tariffs.

> Alberto Cavallo, Gita Gopinath, Jenny Tang and I studied the tariffs placed on Chinese exports in 2018 and 2019. We found that tariffs of, say, 20 percent caused domestic importers to pay nearly 19 percent more. This represents a pass-through into import prices of about 95 percent

> The Trump administration then plugs a rate of 25 percent into its formula. Where does 25 percent come from? Is it related to our work? I don’t know.

> Had the trade office instead used a value closer to the 95 percent number from our work, as I believe it should have done, the computed tariffs would have been as little as one-fourth of what they are.
People have been gaming ML benchmarks as long as there have been ML benchmarks. That's why it's better to see if other researchers are incorporating a technique into their actual models rather than 'is this paper the bold entry in a benchmark table'. But it takes longer.
Multiverse uses quantum-inspired tensor networks to make large language models or LLMs more efficient and portable.

Is this even for real?
It seems many were anticipating this: "Tax return filings drop by nearly 1 million and extension requests rise" https://news.ycombinator.com/item?id=43606511
Do you like to be surveilled at work? Would it make you want to do a better job or just hate your job more?
What documentation?
Congress can intervene any time it so desires...
Show HN: Leantime – Open-Source Project Management for people with ADHD
"ensure teens’ time is well spent"

Their time would be better spent not on social networks. But I guess if this is where we are going as a society, it's better to have the protections and limitations in place for this age group.
https://aider.chat/docs/leaderboards/ your experience doesn't align with my experience or this benchmark. o1 pro is good but I would rather do 20 cycles on gemini 2.5 rather than wait for Pro to return.
In my experience, strength training is about gradually increasing the weight, start with something like 2.5 lbs, then move to 5 lbs as you go. But only add weight once you can do your sets and reps with proper form. Form really matters, bad form is how you get injured.

The other things that make a big difference: eating enough (you need more calories to lift more) and getting enough sleep as well as rest between workouts.

Like every other exercise, it's a question of building a habit.
Why Teams of Generalists Win in the Age of AI
Xi doesn't have to worry about reelection. The Republicans in Congress do in 2026. The Chinese can politically handle a trade war better than the US.
Examples of emergence:

1. Multi-step reasoning with backtracking when DeepSeek R1 was trained via GRPO.

2. Translation of languages they haven't even seen via in-context learning.

3. Arithmetic: heavily correlated with model size, but it does appear.

I could go on.

Albeit it's not an LLM, but a deep learning model trained via RL, would you say that AlphaZero's move 37 also doesn't count as emergence and the model has no understanding of Go?
More desert Mad Max shenanigans in just underwear!
> 4o is autogressive, slow, and extremely expensive.

If you factor in the amount of time wasted with prompting and inpainting, it's extremely well worth it.
Silicon Valley's gamble on Trump isn't paying off
I've got no sympathy for the person doing the interviewing here. They advertise a "L3" software job for $150k a year and wanting someone with internship experience. Doesn't even make sense. Then they interview someone with a sh!t resume written in semi-broken english and act surprised that they are fake. I guarantee if I had applied I would not have even been considered due to 15 years of experience and that seems to put me in the "too expensive" category even though I live in a rural town and my monthly expenses are under $2k (with a family of 5 even).

I hope this guy's startup fails. That is what you get.
Geospatial Reasoning: Unlocking insights with generative AI
They are already ramping down new construction and they are starting to replace older (less efficient) plants. It's quite likely that one of these last 3 years will have been peak coal in China. The bad news is: That's a lot of coal that being burned. The good news is: They are less reliant on "recouping costs", which means _those_ plants will be shut down as soon as that's feasible
Recent paper from Anthropic on the fact that the reasoning output does not necessarily reflect what the LLM is "thinking".

https://arxiv.org/abs/2305.04388

That being said, your idea is not unreasonable. The way DeepSeek phrased it, it just sounds like implementing such solutions might be a hassle greatly increasing complexity, and they were just focused on making an RL baseline work at scale.
I still use google scholar, right dao for deep search (tens of thousands of results), searx instances, and kagi for now but it's not worth the $10/mo for only ~200 results per search.

The serendipity of doing search with your own eyes and brain on page 34 of the results cannot be understated. Web surfing is good and does things that curated results (ie, google's <400, bing's <900, kagi's <200, LLM's very limited single results) cannot.
Nope, that's just rather bland justification of cheating. Not sure how US corporations work, but in Europe any big company would flag you internally so you won't be able to work there for a decade, and the mark still remains in their hiring system afterwards. Just a stupid thing to do, as lying always is.

This are not school exams, company wants to hire the best candidate. If all fail then best failing is still the best candidate, and this can be measured and/or perceived by skilled interviewers.
Probably closer to say that Dropbox is a GUI on top of WebDAV
I don't think it's just about comparing or letting AIs compete. It's more about making success of one AI dependant on it understanding how other AI works (that's uncooperative and has its own goals).
No. You’re being willfully ignorant at this point.

There’s a difference between convicting people of crimes and arresting protestors because one side doesn’t like what they’re saying.

The republicans are literally kidnapping people who have committed no crimes but are exercising their first amendment right to free speech, writing and publishing their political views. These people are now being held in inhumane conditions. This is stage one of torture: dehumanize.

And you’re dodging the more pressing and serious issues: republicans in government are advocating of using violence against protestors they don’t like. You’re avoiding this because deep down you know you have no logical nor ethical standing.
over the past year I've written tens of thousands of lines of zig code. But that's not on my resume

why not?

i have included every significant contribution to any project, whether it is paid or not on my CV. why would i leave that out? it's experience. only code that i write for my own use and don't publish may not be worth to be listed
Not having a 'space' button was helpful for me in getting going without the tutorial.
Virtually no new tech startup with a greenfield project is going to pay Delphi $1599-per-seat for each of their developers. Only existing customers stuck with their investment in Delphi code are going to pay that.

I agree with this, and all your other reasons why mainframes will remain legacy platforms.

But man, how crazy is it that an industry that is 100% productivity driven and (until AI data centers, at least) labor-cost-constrained would snub its nose at paying a fraction of a percent of those developers’ salaries to put good tools in their hands.
I'm curious why you opted for a custom keyboard vs the built in one. It's not as good and unlike worldle it doesn't seem to really take advantage from custom keys.
Ironically some people take a shit on public transit escalators, which is one of the reasons they are often out of service.

https://missionlocal.org/2018/05/whats-with-the-16th-street-...
I open sourced my side project and no one cared
Send Obsidian texts to your Mastodon instance seamlessly
Steam can list/launch your non-Steam games, but it isn't open source. Listing non-steam games is also a manual process and there probably isn't any library art associated with the entry if it comes from Battle.net or whatever.
Looking at the stock market, do you believe that tariffs are upholding US interests?
Singular they was used by respected authors even as far back as the 19th century.
Neat idea, but the execution seems terrible. I tried to find my coworkers based on specific searches and they never show up.
Actually "quick facts", as I define them, are much better with an LLM for me. I prefer not having to wade through pages of links to sites trying to sell me something.
In the same vein, I've long had a soft-spot for the JS-enhanced https://pancake-charts.surge.sh/ (developed by NYT graphics team and used for the covid charts).
I also find the keyboard so terrible!
I think my larger point is that it seems doubtful that most use cases need a humanoid form. Like is there any reason to think a specialized unloading bot is worse than a humanoid bot in this case?
This is awesome, congrats!

While I spend quite a bit of time here on HN, I missed the original post but started playing daily after Paris Martineau mentioned it on the Intelligent Machines (formerly This Week in Google) podcast.

I’ve been wondering how long it’d take to get picked up by some publication. It’s just too good.
To be honest, peaker plants that sit offline for most of the year but can spin up in unfavorable conditions seems like an ideal application for fossil fuels. They're basically grid-scale emergency generators. Building an oversized battery farm that can store 3 weeks of energy and gets used once every other year probably won't make economic sense anytime soon.
Have you used Playnite? Have you built features / plan to make features that would set this apart from Playnite?
I agree that people interpret things differently and visualise differently and that is my point. I want to see the concept from my head in a solid visual form. Some concepts that are not clear, like those that I mentioned having trouble with, I want to see any kind of visual representation at all. I will probably not like some of those, but there these tools can help generate a bunch of variations tailored specifically for me. I can choose one and carry on with that. I can come back and more details to that as I read further.

If someone can show me exactly what I am thinking of, won't that be amazing.
I have, dozens of times, and it's generally better than 3.7. Especially with more context it's less forgetful. o1-pro is absurdly expensive and slow, good luck using that with tools. Virtually all benchmarks, including less gamed ones such as Aider's, show the same. WebLM still has 3.7 ahead, with Sonnet always having been particularly strong at web development, but even on there 2.5 Pro is miles in front of any OpenAI model.

Gemini subscription? Surely if you're "using LLMs correctly" you'd have been using the APIs for everything anyway. Subscriptions are generally for non-techy consumers.

In any case, just straight up saying "it isn't good" is absurd, even if you personally prefer others.
Yes, min transfer 0.01 EUR
Your claim of zero being the ideal level is not supported by any reliable data. You aren't qualified to make any statements about ideals.
100% this. I appreciate the puzzle of each individual clue, but I feel like it should be a valid answer if I guess a correct "outer" clue even if I haven't gotten all of its relevant inner answers.
They... What? They tell on each other about cheating? Is that actually real? I am very surprised, it seems the kind of communication that is pretty complex, not the kind I expect birds to be capable of.
Except the games isn't linear. The goal is to answer all of the clues without getting any wrong. Answering one clue doesn't do that.
This seems especially true in South America, in Argentina for example.

But, not here in Canada for some reason. We are fine with terms like "North America" and "the Americas" being distinct from America.
Dr. Sarno's Healing Back Pain matters, even if his explanation doesn't hold up
How do you know the information it generates is correct?

Just now for example I wanted to know how Emma Goldman was deported despite being a US citizen. Or whether she was a citizen to begin with. If an LLM gave me an answer I for sure would not trust it to be factual.

My search was simple: Emma Goldman citizenship. I got a wikipedia article, claiming it was argued that her citizenship was considered void after her ex husband’s citizenship was revoked. Now I needed to confirm it from a different source and also find out why her ex’s citizenship was revoked. So I searched his name + citizenship and got an New Yorker article claiming it was revoked because of some falsified papers. Done

If an LLM told me that, I simply wouldn’t trust it and would need to search for it anyway.
How many years old was the s/260 at this point? If it was really long in tooth then I wouldn't be surprised.
> which isn't supported

The general consensus amongst most economists is that humans behave in a rational way? Not spending all the wealth you before you die would be irrational if your children won't inherit it.

Of course in reality that's often not the case especially these days so it might not be sufficient enough.

> clearly true, just supposition.

Well by such standards every discussion on any policy that hasn't been tried is meaningless because there isn't any empirical evidence.
Are you sure about that? It correctly solves the puzzle.

Each step (though a little confusing to parse) does make sense in context.
The source data, despite the filename, contains Income, Life Expectancy, and Population by Country+Year: https://echarts.apache.org/examples/data/asset/data/life-exp...
> We do know how LLMs work, correct?

NO! We have working training algorithms. We still don't have a complete understanding of why deep learning works in practice, and especially not why it works at the current level of scale. If you disagree, please cite me the papers because I'd love to read them.

To put in another way: Just because you can breed dogs, it doesn't necessary mean that you have a working theory of genes or even that you know they exist. Which was actually the human condition for most of history.
If “A bird with a 10-gram brain is doing pretty much the same as a chimp with a 400-gram brain,” as the article says, what does this say about dinosaurs, which appear to be the ancestors of birds but are larger creatures? What was their intelligence like?
I love echarts, I've used it at almost every company I've worked at to this day since I found it.
> Cameras absolutely could emit DNG instead, but that would require more development friction: coordination (with Adobe), potentially a language barrier, and potentially making it harder to do experimental features

I've worked with medical imaging systems from the largest imaging companies in the world -- GE, Siemens, etc. -- all of which use a standardized image format/protocol/etc. called DICOM. DICOM has standardized fields for the vast majority of information you would need to record for medical imaging - patient ID, study ID, image # if it's an image sequence, etc. - as well as metadata about where it came from, like the vendor ID of the machine that did the scan (the CT scanner, MRI, X-ray, etc). There are also arbitrary fields for vendor-specific information that doesn't have a defined field in the specification.

All of these fields have clear purposes and definitions and all are available to every DICOM reader/writer, and yet the company I worked for had a huge table of re-mappings because some scanners, for some reason, would put the patient ID in the vendor field, or the vendor ID in the scanner name field, and so on. There's no reason for this, there's no complication that might cause this; it's all standard fields that everything supports.

These are manufacturers who, while using the standard that everyone else uses, deliberately screw things up in ways that their own hardware and software can silently compensate for but which other vendors then have to work around in order to inter-operate.

In other words cameras absolutely could emit DNG instead, but aside from the arguments that you've made, I have every confidence that manufacturers would fuck it up on purpose just to make it harder for other vendors' software to inter-operate, which would mean that instead of software having to explicitly support e.g. Canon's RAW format, and being able to say "we don't yet support this new format", software would "support" DNG but it would be completely broken for some random cameras because the software developer hasn't had the chance to implement idiotic workarounds for these specific broken images yet.
Rail is not scaled to do transport of consumer goods, and is not scalable to a higher level in North America. What are those who don't live on the coasts supposed to do, do you think?
Yes, I'm still using Google as I haven't found LLMs useful as a search engine replacement.
You're right that we don't know all the terms, but $160M raised is not small and it is very reasonable to worry about what level of control will be given up long term because of it.
Unless someone's life is on the line, usually eyeballing the source URL is enough for me. If I'm looking for API documentation, there are a few well-known URLs I trust as authoritative. If I'm looking for product information, same thing. If the search engine points me to totallyawesomeproductleadgen19995.biz, I'm probably not getting reliable information.

An LLM response without explicit mention of its provenance... There's no way to even guess whether it is authoritative.
Reminds me of https://d3js.org/
Nothing means anything then.
If you're thinking worst-case scenarios - what about if the government simply puts you in a cell and beats you until you give them your crypto keys?

The only hope for any system is if the people fight to not live within these kinds of fascist states. Crypto is not some magic solution - and has a lot of downsides which are mentioned often.
Single serving indeed, they don't really work for sharing. Similar for the 8 Tunnock's caramel bars...
Managing Friction
(3) investors offer the option for founders (and earlier investors) to take money off the table by buying up a percentage of their stake, essentially creating a mini-exit for the founder and earlier investors
How Netflix Accurately Attributes eBPF Flow Logs
It'll be interesting to see if there's anything Trump can do to cause the GOP-led Congress to reign him in. The Senate is starting to fracture, but so far, the House remains in steadfast support. Maybe once their supporters start feeling the impact of this, they may start singing a different tune.
Congrats!

One little nitpick is that while I prefer hardmode for puzzles like this, on mobile (where I prefer to play such games), it's WAY too easy to misclick on the keyboard. I had "8 excess keystrokes," but those were all due to mistyping then deleting a single mistyped character (e.g. "ee" -> "er").

Not sure how to keep the essence of the skill-based approach, without the frustration induced by typing on a mobile keyboard.

Anyway, great job and congrats again!
The AI companies. Nvidia. That's it. That's the list.
This is a cool idea actually, even for a separate extension. Cursor doesn’t offer an API yet (so I’m not sure how to detect when Cursor itself is “thinking”), but it could be always-on.

I recall a site adding Memory Match minigame while a build was running (was it Vercel?), and I couldn’t help playing it every time.

Add in tic-tac-toe and a few others and you have yourself a cool extension.

Maybe a more constructive game also: a multiple choice quiz about your code to make sure you understand it?
Youtube's search engine is still good for finding songs I want to listen to.
On HN: https://news.ycombinator.com/item?id=43623572
> Not replying quickly enough in Teams/slack?

This has got to be an ADA violation for someone with ADHD.

Not that it matters anymore.
This isn't a scientific context, it's a marketing one.
ChatGPT was 12 months ago for me

I use Claude pretty exclusively, and GPT as a backup because GPT errors too much and tries to train on you too much and has a lackluster search feature. The web UIs are not these company’s priority, as they focus more on other offerings and API behavior. Which means any gripe will not be addressed and you have to just go for the differentiating UX.

For a second opinion from Claude, I use ChatGPT and Google pretty much the same amount. Raw google searches are just my glorified reddit search engine.

I also use offline LLM’S a lot. But my reliance on multimodal behavior brings me back to cloud offerings.
> as these evolve.

Allow me to introduce you to the first step fallacy. https://thebullshitmachines.com/lesson-16-the-first-step-fal...

I like to use the analogy of building a ladder to get to the moon.
The first step fallacy says that building a tall ladder is just the first step to building a ladder tall enough to reach the moon.
For a lot of things, VLMs are good enough already to provide rewards. Give them the recent images and a text description of the task and ask whether the task was accomplished or not.

For a more general system, you can annotate videos with text descriptions of all the tasks that have been accomplished and when, then train a reward model on those to later RL against.
Ask HN: Anyone frustrated by AI tools hallucinating API calls?
I’ve been using ChatGPT, Claude, and other LLM-based tools to speed up software development — but I keep running into the same issue:

When integrating third-party APIs or SDKs, the AI often gives me outdated or completely wrong info. Sometimes it’s minor (wrong param), sometimes it burns hours.

I figured the root problem is docs go stale, but the AI still tries to be confident. So I’m building a tool (ChatVisible) that makes API/SDK docs AI-compatible and keeps them updated for AI tools.

I’m not here to pitch — I just want to hear:

- Has anyone else run into this problem?

- How are you solving it?

- Would something like this actually help?

Happy to share a link or walkthrough if anyone’s curious, but more interested in validating the problem.
Duplicated from yesterday: https://news.ycombinator.com/item?id=43617897
Tiger turnaround as populations grow in India
I don’t quite follow. Without equivalisation, adults cramming into HMOs would cause the household incomes to rise dramatically. The number of children, I suppose, could theoretically mask an impoverishment, but there’s not really any clear link between income levels and birth rates (maybe it’s even an inverse relationship).

House price ratio has doubled since 2000 but over the last twenty years in the UK it’s flat. The doomsaying is not justified.
> Until you say something the government doesn't like and they decide that part of your punishment should be lack of access to payment services.

How much worse is that than the same thing happening when you do something a private company doesn't like?

And how much different is that than what the Federal government could already do? If the government says you're a terrorist, you're not accessing any banking.
Jason Donenfeld is listed as a Technical Advisor on https://tailscale.com/company. Most companies pay their advisors something, so I assume something monetary is going on here for him.
A 'US-Made iPhone' Is Pure Fantasy
You evaluate the credentials and authenticity of the sources you're reading and judge accordingly.
Every 30 minutes, enough sunlight falls on Earth to power humanity for a year. It is simply a matter of scaling up fusion energy at a distance.