skysight-inc/HackerNews huggingface dataset:
Mattt here, co-creator of emcee.

Carl and I are working on a PaaS for deploying agents, and emcee has given us a nice way to quickly prototype these kinds of workflows.

We can take a handful of OpenAPI specs for code deployed on our platform, and have Claude calling tools without any extra setup. That's been really helpful for figuring out how to get the LLM to pick the right tool for the job.

It's also been interesting to see just how far you can get with tool calling on its own. Normally, you have to write some kind of UI or client code to interact with a platform. But with emcee, we've been able to take a tool-driven development approach, using Huma [1] to generate OpenAPI endpoints for our Go web API, and talking to our service first through Claude, before making a UI or SDK.

And to your point, I think MCP could be really powerful as a connection point to various clients, servers, and hosts — a lot like LSP [2] for IDEs and programming languages. I'd love to hook emcee up to Zed, for example, to give the AI assistant even more context to do its thing.

[1]: https://huma.rocks
[2]: https://microsoft.github.io/language-server-protocol/
I'm fully aware they are very different things. I'm just saying I have tried using datomic and I really like it's query language but it cannot find a path between two objects like Neo4j which is a killer feature in a CMDB. My dream DB would be a hybrid of Neo4j and Datomic.

An example of where Neo4j really shines is I found a site with BGP route dumps. The file contains over 57 million very redundant Autonomous System paths that are just sequences of a IP prefix and the AS path it is reachable by. By loading each IP prefix and AS hop as

(Prefix)-[:ANNOUNCED_BY]->[:AS]-[:BGP_NEXT_HOP]->[:AS]

I can easily trace paths from one prefix to another by going

MATCH path = (p1:Prefix)-[:*]->(p2:Prefix) return path

which will return which AS announce the prefixes and all BGP paths between them. It really is very powerful.
How does generating images with 90% less pixels count as beating DALL•E?
yep all the valuations on built on their predictions for massive demand.
Current recycling innovations to utilize e-waste in green metal manufacturing
Even if we assume the tech gets good, this is making a major assumption, which is that users are both capable of, and want to, use AI prompting to create entertainment.

It's like procedural generation in gaming: Minecraft is beloved and wouldn't have worked without it, but it was universally panned when used for procedural quest generation in Skyrim.

The fact that an AI can create content doesn't obviate the desire people have for curated experiences. People still want to talk about Squid Game at the office water cooler.
DeepSeek is profitable, openai is not. That big expensive moat won't help much when the competition knows how to fly.
Yeah his recipe was very odd. That sort of cooking is very fiddly. I rubbished a whole batch of cookies a few weeks ago just by cooking them ~2 mins too long. Sweats seem to be very exacting one what you need to do to make them come out correctly. Other kinds of cooking you can +/- a lot of things and still get something good. Sweats on the other hand. You better get it 'just right'.
> your behavior in this job has an impact on getting the next one

Not my experience.
Can you say more about using RL at inference time, ideally with a pointer to read more about it? This doesn’t fit into my mental model, in a couple of ways. The main way is right in the name: “learning” isn’t something that happens at inference time; inference is generating results from already-trained models. Perhaps you’re conflating RL with multistage (e.g. “chain of thought”) inference? Or maybe you’re talking about feeding the result of inference-time interactions with the user back into subsequent rounds of training? I’m curious to hear more.
It's not about C per-se, as much as each native compiled dependency creates additional maintenance concerns. Changes to hardware/OS can require a recompile or even fixes. NPM build system already requires a JavaScript runtime, so is already handled as part of existing maintenance. The point is that Zopfli either needs to be rewritten for a platform-agnostic abstraction they already support, or else Zopfli will be added to a list of native modules to maintain.
It's complicated. On the one hand Nvidia is supply constrained, so anything that makes AI better and more efficient (and therefore more usable by the masses) is bullish for it. On the other, a significant chunk of research lower tier large GenAI orgs have been doing is now obsolete, so they might reduce their cloud spend until they gain their bearings and reset at a higher level using DeepSeek's models and insights. Furthermore, the gap between open source and top tier behemoths has shrunk considerably last week. For the first time you can run a practically usable reasoning LLM on your MacBook Pro with 64GB of RAM or more. In the mind of the normies (some of whom are investors) this puts future profitability of top tier research into question. This is a midwit take - top labs have much more than they show, but that might not matter if investors get cold feet, with secondary effects on NVIDIA and those staggeringly large planned investments into AI. Still, NVIDIA is a monopolist for GPU compute. That is not going to change in the foreseeable future, and they will remain supply constrained in the foreseeable future, and therefore able to exercise considerable pricing power. So my bet is: short term pullback, long term bullish.

In fact you could see the bullish case last night: Deepseek's free chat service got overloaded and crapped out due to lack of GPU capacity. That's bullish for NVIDIA.
Hardware-encrypted disks in Linux (2022) [pdf]
Love the mission!

My project Glicol (https://glicol.org/) also has some classroom practice for sound 101

But I think what children need most is to provide very simple to complex examples for modification.

The bigger worry is that other things, like Instagram, become more appealing than learning to code.
If you are hiring for your standard enterprise CRUD developer or “full stack” developer, once you have a few seniors (real seniors not “codez real gud” seniors), you can go down to the top 50%
The title of the article says “easy”, while the text says “straightforward”.

Those are not synonyms.
OCPP 2.1 is now available
Scaling Compute for RAG
Britain setup a holiday/prison camp for high-ranking german officers and bugged everything.
It's a fascinating story..

https://www.amazon.com.au/Walls-Have-Ears-Intelligence-Opera...
I've always suspected that the secret sauce was that there are plenty of humans in the loop tagging and classifying, that's a cheap option in China. It's from a censorship regime after all. Today they likely have enough data to automate most of it.
That's the nature of the job, we're not growing food to feed people. We tinker with with code in the hope that it helps someone else and sometimes it doesn't.
almost everyone I know is the same. 'Claude seems to be better and can take more data' is what I hear a lot.
reference checks are pointless if employee gives you a list of favorable references
PRC just announced mass producing 28nm litho that cost 1/30 ASML hardware. Easy to extrapolate where this goes especially mature nodes like 28nm still accounts fo over 70% of global wafer use.
Seems like a massive buried lede in an “outperforms the previous SoTA” paper.
is there a primer somewhere on the security/privacy considerations of deepseek?

For the phone app does it send your prompts and information to China?

OpenRouter says if you use them that none of their providers send data to China - but what about other 3rd parties? https://x.com/OpenRouterAI/status/1883701716971028878

Is there a way to host it yourself on say a descent specd macbook pro like through HuggingFace https://huggingface.co/deepseek-ai/DeepSeek-R1 without any information leaving your computer?
This is why I recommend to everyone, both in and out of tech, that you need to try and get as much money out of your initial negotiation and down the line as possible from your prospective employer; if you don't get it, it'll be fucked away on like one single meal or evaporate some other way.
Is it possible that the key here is all about where top talent goes? America's best minds from Math and Informatics Olympiads gravitate to Wall Street for financial gains. Similarly, DeepSeek's top talent are mostly IMO and IOI medalists and they originally aimed for finance too (The parent company of DeepSeek is a successful quant trader), but strict government regulations pushed them towards AI instead. Ironically, this unintended pivot turned out to be quite significant
Show HN: YouTube extract Text Chrome extension
> Late in 2024, OpenAI had $3.7b in revenue

Where do they report these ?

edit i found it here https://www.cnbc.com/2024/09/27/openai-sees-5-billion-loss-t...

"OpenAI sees roughly $5 billion loss this year on $3.7 billion in revenue"
> They’re not friends with the US either right?

Wrong [1][2].

> They’re not friends with the US either right? Officially America designates Pakistan as an ally as I recall

I don't believe America has signed any alliances with Pakistan since the 50s. By the time The Atlantic was running "The Ally From Hell" in 2011 [3], U.S.-Islamabad relations were already in the bin. (We potted Bin Laden earlier that year.)

> strengthen economic and defense ties with the EU and US?

EU is too far away and too weak. Better bets would be Japan and Australia, i.e. the Quad. (Maybe also Korea, for their shipyards.) I'd love to say America, as an American of Indian descent, but our foreign policy isn't reliable right now.

Were I Delhi, I’d focus on keeping China bogged down with Russia and contained by Taiwan while I built my green-water naval capabilities and energy security (coal, hydro, solar and maybe nuclear if the Americans will build it).

[1] https://en.wikipedia.org/wiki/Quadrilateral_Security_Dialogu...

[2] https://www.bloomberg.com/news/articles/2024-12-03/india-piv...

[3] https://www.theatlantic.com/magazine/archive/2011/12/the-all...
I don't even put education anymore.

I dropped out of university, so in my early years it took a lot of tuning my resume to give the impression that I had a degree without actually saying it. Thankfully I had taken summer courses at a different, nearby university for two years before college. Eventually I would just put the years, the universities, and the major I was pursuing. Now I just leave it off the resume.

I had one manager who found out after the fact and told me he wouldn't have hired me if he realized, but he was glad he did.

I had an interview where they asked for a college transcript and then grilled me on why I failed Martian Geology and why I only got a C in Vector Calculus. I was given an offer, but declined it because of that experience. I dodged a bullet too; I've seen reports that the company sues former employees just to cost them money.
I can't find anything of what I mentioned in those links.

Just the same numbers "with an average of 150 to 200 faults occurring globally each year" thrown around again - again with no source.

I would wish for

Year Number Fishing Anchor Earthquake ...
2022 128 15 2 5
2021 133 22 8 2

(best grouped by region, Baltic Sea, North Atlanic, South Atlantic, Black Sea, ...)

etc.
I think the main TLDR here [1]:

> For example, I tried recompressing the latest version of the typescript package. GNU tar was able to completely compress the archive in about 1.2 seconds on my machine. Zopfli, with just 1 iteration, took 2.5 minutes.

[1] https://github.com/npm/rfcs/pull/595#issuecomment-1200480148

My question of course would be, what about LZ4, or Zstd or Brotli? Or is backwards compatibility strictly necessary? I understand that GZIP is still a good compressor, so those others may not produce meaningful gains. But, as the author suggests, even small gains can produce huge results in bandwidth reduction.
Any reason Xcode 2 was chosen? Wouldn't have Xcode 3.2.6 on Snow Leopard but targeting OS X 10.4 and including ppc as an architecture also worked?
> A simple question to ask an employer during an interview is whether the company is profitable or not. If so, for how long?

This is great advice.

For instance, I was once in an interview where they were grilling me. I was reluctant to do the interview in the first place, because they'd gone bankrupt TWICE in the past five years.

At the end of the interview, it seemed fairly clear that my odds of getting the job were about 50/50. The interviewers were smart and they were asking hard questions.

But when I asked them to comment on their two recent bankruptcies, it changed the mood entirely. At that point, the entire "vibe" of the interview shifted. It became CLEAR that they'd been losing employees at a furious pace, because of their financial struggles.

Once we talked about "the elephant in the room," the entire interview tone changed, and they made me an offer in less than twelve hours.

My "hunch" is that they'd been grilling interviewees (because they were smart folks) but had been scaring interviewees off because they were in such terrible financial shape.

Basically, potential hires were ghosting them because of their financial problems, while they were simultaneously discussing technical issues when the real issue was financial.

I accepted the offer, and the company is still around. I had a similar interview experience at FTD in San Diego (the florist), and they are kaput:

https://www.cnbc.com/2019/06/03/flower-delivery-company-ftd-...
In my family, we always called those 'half-tops'.
> This is completely false. I literally haven't seen someone do a reference check once in the last 10 years.

I understand this might not be your experience, but it's far from being "completely false".

I have had background checks/reference checks done on me (thankfully my would-be boss told me they were a formality and nobody cared about the results. I say "thankfully" not because I had anything to hide, but because the contractors doing the background checks asked for the dumbest things). I was also contacted by US-based consulting firms and asked to provide references on a former boss of mine, who was now applying for an engineering position... and to my surprise, the reference check involved getting on a call with me!

More recently, a relative was applying to a fintech and was asked for references for all her pasts jobs since she started working in the relevant field.

I know lots of companies don't care, but many others do.

Besides, like other commenters said, it's not only about formal references checking. It's also about the networks you build with coworkers whom you can potentially meet again in other jobs, and whom you want to speak favorably of you. I know I've informally vetoed coworkers whom I knew were terrible at their jobs and I heard recruiting was thinking of making an offer to. Likewise, I've enthusiastically recommended past coworkers who I would enjoy working with again.
Thinking about "Mighty"... if their timing had been better...
This is great! I just switched over from Overcast. Very nice and simple interface, no clutter, and not a ton of unnecessary features. Love it.
I should also clarify something above, Oliver Heaviside did discover the energy flows through the dielectric, most explanations like that video use other lenses to communicate the very real need to consider voltage and current.

The original link side stepped that as to be honest it is to complicated for the intended use case.

All models are wrong, some are useful, and the water wave model is very useful for very real needs.

I personally wasted a lot of time confusing the map for the territory, but yes everyones path will be different. I confused the "electron flow" and water wave model as being absolute ground truth for way longer than I would like to admit.
I tested it here.

https://huggingface.co/spaces/deepseek-ai/JanusFlow-1.3B
Isn't this an issue with Nvidia not releasing open source drivers ?
Doesn’t your point about video compression tech support Nvidia’s bull case?

Better video compression led to an explosion in video consumption on the Internet, leading to much more revenue for companies like Comcast, Google, T-Mobile, Verizon, etc.

More efficient LLMs lead to much more AI usage. Nvidia, TSMC, etc will benefit.
Don't forget they bought Mellanox and have their own HBA and switch business.
Nothings going to change until consequences for this behavior is established.
Collins dictionary disagrees:

https://www.collinsdictionary.com/dictionary/english-thesaur...

and

https://www.collinsdictionary.com/dictionary/english-thesaur...

They are each their others 2nd top synonyms
Ouch, that's even smaller than the now-ancient SD 1.5 which is mostly 512x512.
Google's moat was significantly better results than the competition for about 2 decades.

Your analogy is valid at this time, but proves the GP's point, not yours.
LinkedIn tier comment here.
I think superfastmatt on youtube has some videos on exactly this sort of question
Sure, why not?

It will have to be towed/sailed to some suitable location and then people have to actually go about the process of scrapping it. Unfortunately the cost of all of this exceeds what you can sell the scrap for, so again, nobody is going to buy the ship.
With some filtering on the output to knock down harmonics and aliasing noise, and as long as the power output is low enough, this could actually be legal in the US. IANAL, etc, but this is my understanding:

It's actually ridiculously tricky to measure transmitter power output in the terms that the FCC regs are written in, but the rule of thumb is that, given the receiver sensitivity of a typical radio, if you lose the signal when you're more than 200 feet from the transmitter, you're probably in the clear.

This means a perfectly legal power level would be more than adequate to cover your house, office, hackerspace, or whatever.

https://www.fcc.gov/media/radio/low-power-radio-general-info...
browser terminal + ssh + self hosting!

I’ve not looked into this is years but I once had this idea that in browser terminal and I remember discovering there exists javascript xterm implementation.

For me though I was thinking the setup needs custom MFA security since public browsers or devices can be compromised. Haven’t researched yet how to somehow add that to the access.

If it worked how I’d imagine you can just walk up to any computer with a modern browser, go to your self-hosted IP, it sends you access code to phone, or uses authenticator or rsa token, something, and you get your terminal access.
One day I needed to parse and generate RISC-V instructions. I wrote a custom bitfield implementation, nothing fancy: no derive macros or any crap like that, only u32 bitfields specified by an array — [(RangeInclusive<u32> /src/, usize /length/, RangeInclusive<u32> /dst/]. One function + a bunch of tests. It worked great. Then I tried the `bitfield` crate, which claims to be as fast as code I would've written by hand. It had dependencies and was two orders of magnitude slower. Basically, it was as fast as code that I would've written by hand in Python.
> It's about building a network of colleagues who respect you and your work.

The network is actually holding you back. You don't need a network to get a new job AND if that person in another company has enough pull to get you in it's actually likely a sign they've been there too long themselves if they're not directly in control of the hiring budget.

Just job hop. This ain't your daddy's profession.
There are plenty of models around that will reliably upscale an image. That's not the hard part.
I worked on a network that used a protocol very similar to ATM (actually it was the first Iridium satellite network). An internet based on ATM would have been amazing. You’re basically guaranteeing a virtual switched circuit, instead of the packets we have today. The horror of packet switching is all the buffering it needs, since it doesn’t guarantee circuits.

Bandwidth is one thing, but the real benefit is that ATM also guaranteed minimal latencies. You could now shave off another 20-100ms of latency for your FaceTime calls, which is subtle but game changing. Just instant-on high def video communications, as if it were on closed circuits to the next room.

For the same reasons, the AI analogy could benefit from both huge processing as well as stronger algorithms.
> What is Google's first mover moat?

AdSense
> “is Monday a public holiday in Auckland”

People use search engines so differently. It would never occur to me to type anything like this into Google. I would type "New Zealand bank holidays" and expect to find a list (ideally on an official-looking website), and then judge for myself whether Monday was a holiday.

Google finds me this as the first result: https://www.govt.nz/browse/work/public-holidays-and-work/pub...

What would be the point of introducing any AI into this interaction?
He knows best what works for him, but I would think making a conscious decision to use a reduced set of commands in vim might get him to where he wants to be.
You can predict a dynamically dispatched call surely?
Hmm it also means like coal, it becomes a commodity.
> “Nearly perfect” is cherry-picked from the sentence

You're attempting to imply the rest of the sentence adds context that makes pulling out "nearly perfect" incorrect. Can you explain?

> ...

I'm not sure what the rest of the quotes are implying, as you just copy and paste and don't provide any indication of what you're communicating by sharing them. Can you explain more?

> That you went so deep into the post

It's the 587th word, less than 2 minutes reading at average reading speed.

> you’re probably being intentionally misleading.

!?!?!

#1) I'm certainly not intentionally misleading.

#2) What is misleading about "they say nearly perfect and then the highest # I can steelman from the table is 84%?"

#3) This is the first time in 15 years on HN that I've had someone accuse me of being intentionally misleading. Part of that is because there's numerous rules against that sort of dialogue. The remaining part is people, at least here, are usually self-interested enough to not make up motivations for other people feeling differently from them.
I'm not sure if this will impact the market the same way the R1 did. However, my general impression is that while Meta spent $20B on their 100k H100s, DeepSeek is demonstrating that you can achieve better results far more cost-effectively using just 2k H100s. This doesn't seem like good news for Nvidia, but it sets a great precedent for companies looking to train models.
If you are on a budget maybe check out Creality's new offerings in this area.

For ~$1500 you can have a handheld 3d scanner. Their marketing materials show a scanned Hummer hood and a car door. I have never used it though so I am not endorsing it.

https://store.creality.com/products/cr-scan-raptor-3d-scanne...
polycam or scaniverse (gaussian splats though)
DeepSeek is not profitable. As far as I know, they don’t have any significant revenue from their models. Meanwhile, OpenAI has $3.7b in revenue last reported and has high gross margins.
Why do we hate China?
As with everything: repetition. If you forget these things you don't use them often enough. On that level, do you really need to remember them or are you happy enough to have a good and short reference, like this article for example?

My personal answer is: a cheat sheet is enough.
I remember going to the drive-in movie theater in the 80's. You had to tune your car radio to a specific frequency to hear the movie audio. If this device had existed back then, you wouldn't have needed to tune your car radio at all. I doubt the neighbors would have liked that though. As an aside, I remember being jealous of the neighbors because they got to watch all these movies for essentially free. The irony is that today, we're bombarded by content, it's become essentially free.