skysight-inc/HackerNews huggingface dataset:
I elaborated here https://news.ycombinator.com/item?id=43684124

> Even with emotions different languages independently came up with words for them and we can still translate between those languages.

Of course. That's a no-brainer that different human languages have come up with names for experiences they share.

The hard part is learning the correspondence between say two nouns in different languages that mean the same thing.

Its perfectly possible for an unsupervised ML to use the French word 'rouge' in a French sentence but the notion that 'rouge' corresponds to 'red' in English has to come from some shared grounded experience/emotion.

The French word x word relationship graph has to get connected to the English word x word relationship graph.

BTW for people born deaf and blind it's an enormous challenge just to get to the point where the person understand that things have names. For example for Hellen Keller, it was a very non-trivial event when it finally clicked that the wet sensation she was feeling had a correspondence with what her teacher was writing on her arm. They were lucky that wet was an experience that was common between her and her teacher, lucky that Hellen Keller could experience wetness. Someone or something has to play the same role for dolphins and us. Just a corpus will not suffice.
What do you mean? He’s obviously got a point? Even Steve Bannon thinks so. He says Elon was just ahead of the curve.

How much of Elon’s conversion was genuine vs mercenary is impossible to know, but it’s likely.
Beyond LLM Monoliths: The Symphony of the AI System
FEMA to end coverage for North Carolina recovery efforts
Isn't that what multicast is for?
Easy to miss in the announcement that 4.5 is being shut down

> GPT‑4.5 Preview will be turned off in three months, on July 14, 2025
This sounds very cool at a conceptual level, but the article left me in the dark about what they're actually doing with DolphinGemma. The closest to an answer is:

>By identifying recurring sound patterns, clusters and reliable sequences, the model can help researchers uncover hidden structures and potential meanings within the dolphins' natural communication — a task previously requiring immense human effort.

But this doesn't really tell me anything. What does it mean to "help researchers uncover" this stuff? What is the model actually doing?
Oh I can make it work; but it’s definitely not as easy as they claim for business users and that was my point.
Yes, OpenRouter confirmed it here - https://x.com/OpenRouterAI/status/1911833662464864452
And then they don't ever open the page, right?
I'm in the same boat with propanalol - my doctor told me it was "the worst blood pressure medication available, but surprisingly effective at preventing migraine symptoms (as well as physical symptoms of anxiety)".
I completely agree, but I still question the purpose of FP languages. Writing the S3 upload code is quite hard, if you really want to handle all possible error scenarios. Even if you use whatever library for that, you still need to know about which errors can it trigger and which need to be handle, and how to handle them. The mental work can be equal to the core function for generating the file. In any language, I'd separate these two pieces of code, but I'm not sure if I'd want to handle S3 upload logic with all the error handling in a FP language. That said, I've not used Clojure yet and that seems like a very pragmatic language, which might be actually usable even for these parts of the code.
Yeah cause your point of reference is feeling like shit when you are feverish.
use case: my company pays for enterprise ChatGPT
Because - speaking from a lot of experience, both personally and professionally - human beings hate bad news. They reject the wet blankets, the naysayers, the doomers, the party poopers...you get the idea. I mean, the fact we have so many metaphors for the act of being the person giving a group bad news, should tell you how poorly humans look on it. Humans want to believe the sun will rise tomorrow, the birds will sing, the lines will go up, and everything will be fine (or better) than it was yesterday.

This attitude is especially prominent in tech. There's a very real desire to immediately replace whatever was old with whatever is new, regardless of utility or viability. We're participants in (or supporters of) a system of startup-expansion-acquisition-repeat that only focuses on building something new that has a perceived valuation, not something that's actually beneficial. There's no attitude to look back or be objective, because tomorrow will just be better anyway. So when your business leaders, capital investors, regulators, engineers, and developers are all "high on their own supply" of new > old and complex > simple, that attitude seeps out into other aspects of society as a whole.

Nobody likes naysayers who are right. It's just our curse, I guess.
They just realised a new image generation a couple of weeks ago, why are you eager for another one so soon?
Surprisingly enough, this partially exposes the link between depression and some of the autoimmunal diseases. One example is how patients with psoriasis have significantly elevated levels of proteins from the IL-17 family (namely, IL-17A, IL-17C, and IL-17F) - up to 4 to 8 times above nominal values.

At the same time, bimekizumab, one of the bleeding-edge psoriasis and psoriatic arthritis treatments, suppresses production of IL-17A and IL-17F (methotrexate does that, too, albeit to a much smaller degree). As a result, people receiving IL-17 suppressors become happier over the course of years, and not only due to months-long remission - I had a chance to see this in one of the experimental treatment programs.
I gave it a list of the changes I needed and pointed it to the area of the different files that needed updated. I also have comprehensive cursor project rules. If I needed to hand hold any more than that it would take considerably less time to just make the changes myself.
We should make an hn movie list like that.
Movies our kids watched to the end....
Those are old accounts that were stolen by large-scale password spraying attacks. I've lost a few to this.
I'm not talking about the earlier comment at all, but rather about the entirety of PKD's output.
Sonnet 3.7's 70% is without thinking, see https://www.anthropic.com/news/claude-3-7-sonnet
It seems to me statements like these are what OP was referring when saying "You're being alarmist/hyperbolic/paranoid"
Is Covid Rewriting the Rules of Aging? Brain Decline Alarms Doctors
I guess Douglas Adams isn't something a lot of people read these days.
Kind of. It doesn't measure search traffic, it measures search results. So I could see it doing that to the extent that fewer articles may be being written in certain communities than before.
Federal Government's letter to Harvard demanding changes [pdf]
Except when I read it it was an article on a webpage, currently linking from the front page of Hacker News.

Perhaps just enough to be an accident, but somewhat fortunate.
It's trendy to hate Google, and even more trendy to hate anything AI.

The cynicism on display here is little more than virtue signalling and/or upvote farming.

Sad to see such thoughtless behaviour has reached even this bastion of reason.
It’s not just him. It’s any future administration unless the agents doing the arresting are themselves jailed. If you’re unable to empathise with this happening to Venezuelan migrants, consider it happening to whichever enemy of the state the far left next conjures up.
> Why are they so obsessed with using that prison?

Implausible legal deniability.
Salty much? I’ll assume you wear scarves and burn teslas
This really would've come in handy when I was debugging my own SQLite parser a couple weeks ago.

One thing that initially confused me was how exactly the pages worked w.r.t. the first page on disk... I misunderstood the SQLite documentation in different ways, but it's really rather simple: the very first page is just treated as containing the file header in it, and it pushes down the rest of the data, making the page shorter than the other pages. You can see that illustrated clearly if you click into the first page of a database using this tool: the database header comes first, then the page header.

This tool will undoubtedly come in handy for anyone who has a reason to be dealing with SQLite data structures directly for whatever reason, especially since the SQLite documentation is a bit terse at times.
Interesting. I would imagine there are a lot of Trump supporters in North Carolina.

https://www.nbcnews.com/politics/2024-elections/north-caroli...

https://www.theguardian.com/us-news/2025/apr/11/north-caroli...
what about having something reasonable for lag, like 30-60 seconds would that make a big difference or you think it would just eventually degrade too?
Also do you think there's any way you can prioritize seeders in such a protocol? like some kind of algorithm that the more you share the more you're prioritized in getting the most up to date packets.

The main reason I would think it would be useful is 1. since streaming sites seem to lose a lot of money and 2. sports streams are really bad, even paid ones. I have dazn and two other sports streaming services and they still lag and are only 720p
GPT 4.1 is available on LLMChat
I'm beyond done with people trying to say my lived experiences and the lived experiences of others are somehow invalid, hyperbolic, or over-exaggerated. And I'm done being nice to people trying to gaslight the lived experiences of others.

Go away.
Interesting, I’ve found Gemini better than Claude so I defaulted to that. I’ll try another refactor in agent mode with Claude.
Do we need to grow plants to create plastics anyway? Wouldn't be better to just capture co2 and convert them to plastics (or other long lifespan products) directly
Very interesting. For my use cases, Gemini's responses beat Sonnet 3.7's like 80% of the time (gut feeling, didn't collect actual data). It beats Sonnet 100% of the time when the context gets above 120k.
Aren’t all of these reasoning models?

Won’t the reasoning models of openAI benchmarked against these be a test of if Sam is losing?
First:

> I’ll use fake data throughout this post, beacuse our actual updates contain private information

but then later:

> which makes a call to the Claude API

I guess we have different ideas of privacy
In the instances where I’ve needed to run inference in the browser I have used Onnx runtime web to run weights that were exported from PyTorch training. You have to convert your browser data to onnx tensors, but it’s not that bad.

I don’t do actual training in the browser though, so maybe someone else can answer that part.
I'm as or more cynical than the next guy - but it seems to me that being able to communicate with animals has high utility for humans. Partly from an emotional or companionship perspective as we've been doing with dogs for a long time, but maybe even on purely utilitarian grounds.

If we want to know something about what's going on in the ocean, or high on a mountain or in the sky or whatever - what if we can just ask some animals about it? What about for things that animals can naturally perceive that humans have trouble with - certain wavelengths of light or magnetic fields for example? How about being able to recruit animals to do specific tasks that they are better suited for? Seems like a win for us, and maybe a win for them as well.

Not sure what else, but history suggests that the more people have been able to communicate with each other, the better the outcomes. I assume this holds true more broadly as well.
I don't think the absolute score means much — judge models have a tendency to score around 7/10 lol

55% vs. 45% equates to about a 36 point difference in ELO. in chess that would be two players in the same league but one with a clear edge
for context (because i had no clue what BitChute was)

> BitChute is an alt-tech video hosting service launched by Ray Vahey in January 2017. It describes itself as offering freedom of speech, while the service is known for hosting far-right individuals, conspiracy theorists, and hate speech.

> Hope not Hate also documented videos hosted on BitChute supporting or produced by terrorist groups, including ISIS and the neo-Nazi groups National Action and Atomwaffen Division.

https://en.m.wikipedia.org/wiki/BitChute
It's a fun route! If you give it a shot and have a bike that fits you good you'd be amazed at how quickly you can build up fitness for cycling, heavy or not.
IPAM is insane. BYOIP requires IPAM. This makes things even more insane - if you want to manage any BYOIP addresses you need to enable IPAM for all IP addresses (not just BYOIP) in an account.

We tried this at a previous job to manage a pair of /24s and it ended up requiring us to manage _hundreds of thousands_ of rfc1918 IP addresses in IPAM, which cost us something like tens of thousands of dollars per month.

For a pair of /24s.
> Show HN

Stop abusing this phrase.

https://news.ycombinator.com/showhn.html
It's useful alright, but not to us.

I wish people would understand ChatGPT is a toy for consumers, and the real prize of AI is handling the mountains of data tech has been leeching for years.

Sam puts out vague worries of AGI Armageddon so CNBC anchors, who can't even turn their computer on, can argue about that all day because it's juicy. These are the same people that thought the Metaverse was a huge deal, and not just unfinished plans for VR Second Life.

Meanwhile, any company with good AI tech and enough data can classify, minimize, eradicate, and automate as much of our lives as possible. There's going to be no regulation on it, because we have never been about to keep up with text regulation.

And we are told we signed up for it when we were 15, trying to log into an app store on the new device all of our friends had.
Not if I want it able to have conversations with people, they don't.

I could see installing or implementing a custom client if there were some functionality that'd enable, but "support a conversation among two speakers" is something computers have done since well before I was born. If the wheel fits, why reinvent it?
Did some quick tests. I believe its the same model as Quasar. It struggles with agentic loop [1]. You'd have to force it to do tool calls.

Tool use ability feels ability better than gemini-2.5-pro-exp [2] which struggles with JSON schema understanding sometimes.

Llama 4 has suprising agentic capabilities, better than both of them [3] but isn't as intelligent as the others.

[1] https://github.com/rusiaaman/chat.md/blob/main/samples/4.1/t...

[2] https://github.com/rusiaaman/chat.md/blob/main/samples/gemin...

[3] https://github.com/rusiaaman/chat.md/blob/main/samples/llama...
he was also caught on hot mic today telling Bukele

"home-growns are next... you're going to need to build about five more places"

https://bsky.app/profile/coreyryung.bsky.social/post/3lmrygf...
Have you raised this issue to Apple Support directly? They would typically escalate to the Private Relay team to confirm the issue, and having a front-door complaint is more likely to get the Apple attention you’re seeking than a post here is.
Mental stability.
Yes as a person who had such a retention bonus before (from Google even) to me this seems rather cut and dry. Usually such bonuses are a mix of cash and RSUs, and set over a 3-4 year period. And are often also based on a perception of what the employees existing options were in the startup that they came from.

IMHO they should absolutely be paid out the whole amount of the remaining retention bonus at layoff. On the principle of things alone. Can't speak to the legality of it.
Tangential, but this brings up a really interesting question for me.

LLMs are multi-lingual without really trying assuming the languages in question are sufficiently well-represented in their training corpus.

I presume their ability to translate comes from the fact that there are lots of human-translated passages in their corpus; the same work in multiple languages, which lets them figure out the necessary mappings between semantic points (words.)

But I wonder about the translation capability of a model trained on multiple languages but with completely disjoint documents (no documents that were translations of another, no dictionaries, etc).

Could the emerging latent "concept space" of two completely different human languages be similar enough that the model could translate well, even without ever seeing examples of how a multilingual human would do a translation?

I don't have a strong intuition here but it seems plausible. And if so, that's remarkable because that's basically a science-fiction babelfish or universal translator.
This guy is verging on a crank at this point, every article I've read from him is just spewing FUD about OpenAI, and AI in general.

Just click his name at the top of the article and read the titles. With someone like this, even with tons of cited numbers you have to be very, very careful. The conclusions are motivated, and it would take enormous amounts of time to vet what he's saying, because even though the numbers may be correct, it's what he didn't report that may actually matter.
https://archive.ph/WxF2Z
The finances are important but possibly not the first thing on their mind. The first thing on their mind is likely how their entire world has just changed around them, beyond their control.

People who left voluntarily can prepare for the lifestyle change, and maybe they can objectively look at this and say it's not all bad. For people who are laid off, it hits really hard in a gut wrenching way. The sense of despair about everything else comes first, the money part of it might not come until all the severance is exhausted.
The fact that El Salvador is facing zero international consequences for any of this is telling.
o4-mini, not to be confused with 4o-mini
Re: Auth, you are correct that MCP does not specify auth (aside from env vars for e.g. API keys which is host-specific – another gripe of mine).

However, practically the host (e.g. Claude Desktop by Anthropic) asks for permission before calling specific MCP tools.

It is not part of the MCP spec, but it's part of most host implementations of MCP and one of the big practical reasons for MCP's existence is to avoid giving models carte blanche HTTP access.

IMO this should be part of the MCP spec, e.g. "you can call this GET /weather endpoint any time, but to make payments via this POST /transactions request, ask for permission once or always."

Aside: just because someone "defines <X> as something" does not make it true.
It was US$50,- until 1995
It would probably have worked just fine if the richest/biggest CEOs didn't jump to be first in line to appease Trump?
It's sad that AI spam is starting to show up here
> Depends on your definition of rich, your definition of "lion's share" and where in the west

Not really, it just requires pointing out that the rates you’re using to compare the modern West and Ancient Rome are much, much higher in every case for the latter.

> In the UK

I’ll admit I don’t know British figures well, so you may have a point. (As a small country, it has e.g. non-dom issues the EU, China and America do not.)

In the U.S., about half of taxes are paid by the top 1%. That’s not commensurate with our power or privilege. But it’s also not nothing.
Well, I think two horrible things can be unequal, one can be more horrible than the other.
Do you like being a VP at a billion-dollar company? better than construction?

My first real job was as a baker, still one of my favorite jobs I've ever had. Might have been because my life was simpler.
Jeff Bezos seems to have made a few minor genuflections in Trump's direction and is otherwise unaffected (except for the wreckage Trump's tariffs are likely inflicting on Amazon.) No, Musk's decision was a choice. And now he's stuck with that choice. There is almost certainly no way that things "just go back to normal" with a future Democratic administration.
The video to audio examples are really impressive! The video featuring the band showcases some of the obvious shortcomings of this method (humans will have very precise expectations about the kinds of sounds 5 trombones will make)—but the tennis example shows its strengths (decent timing of hit sounds, eerily accurate acoustics for the large internal space). I'm very excited to see how this improves a few more papers down the line!
check out the map! https://map.brooks.team
Synthetic data requires a discriminator that can select the highest quality results to feed back into training. Training a discriminator is easier than a full blown LLM, but it still suffers from a lack of high quality training data in the case of 1M context windows. How do you train a discriminator to select good 2,000 page synthetic books if the only ones you have to train it with are Proust and concatenated Harry Potter/Game of Thrones/etc.
I dont even know where to to start with the math, but I always wondered if there is not a viable carbon capture business in just growing and burying plants.

Get some fast growing plant like Japanese Knotweed or bamboo, grow it out for a year, harvest and dump the biomass into a decomissioned mineshaft to minimize contact with the atmosphere. Rinse and repeat.
There must be something wrong in the way FP is taught if the takeaway that people have is that it prevents or is somehow opposed to mutation.

On the one hand you have bunch of FP languages that don't care in the least bit about "purity" (i.e. being side-effect free) or are more pragmatic around it, such as various LISPs, OCaml, Scala or even parts of the JS ecosystem. And on the other hand, there's a lot of research and discussion in e.g. the Haskell community about how to properly deal with side effects. The idea here is not that side effects are bad, but that we want to know where they happen and combine them safely.
Is this the new form of opinion erasure? If you disagree it must be AI?
It's not even about the communication! Just having more insight into the brains and communication of other mammals has a ton of scientific value in its own right.

Sometimes it's good just to know things. If we needed to find a practical justification for everything before we started exploring it, we'd still be animals.
because the u.s. is the only country the rest of the world can trade with?
For business operators, it makes figuring out whether or not a customer’s claims are fraudulent a lot easier.

It’s really costly to not be able to prove your side of things, especially if the other side has a biased recording.

It’s just like not having a dash cam when everyone else on the road has one.
exactly. there is none.
The carbon stays underground.
I don't think they ever committed themselves to uniformed pricing for mini models. Of course cheaper is better but I understand pricing to be contingent on factors specific to every next model rather than following from a blanket policy.
Non-runnable code can be really useful. I often wish it was available for some papers even if I never run it just to check what they actually did, because text and equations are often not specific enough.
https://en.wikipedia.org/wiki/PeerTube ?
Levels.fyi Started with Google Sheets [video]
(if (<= 0 (+ x m) n) ...)

There is one additional set of parentheses due to the simple addition, which I already mentioned.
4.1 is a pinned API variant with the improvements from the newer iterations of 4o you're already using in the app, so that's why the comparison focuses between those two.

Pricing wise the per token cost of o3-mini is less than 4.1 but keep in mind o3-mini is a reasoning model and you will pay for those tokens too, not just the final output tokens. Also be aware reasoning models can take a long time to return a response... which isn't great if you're trying to use an API for interactive coding.
Great. Good job doing your research, but your input and cross-link were not relevant to this thread focusing on that earlier comment.
I wish javascript had gone in the same direction as php with types.