skysight-inc/HackerNews huggingface dataset:
And I think it implies that strange metals are not Landau Fermi liquids:

>Almost 70 years ago Russian physicist Lev Landau and his collaborators introduced an incredibly successful conjecture, now known as Landau Fermi liquid theory, to try to understand electron interactions within metals.

>Physicists have discovered an entire zoo of quasiparticles in solid materials with names such as phonons, magnons, spinons, holons and plasmons.

>By thinking of the collective actions of electrons as quasiparticles, physicists have made testable predictions that have been verified time and again in experiments on metals such as gold, silver, copper and aluminum.

>In recent years physicists have found a dozen or more materials that are clearly metals, in the sense that their electrical resistivity decreases with decreasing temperature, but that are not Fermi liquids. These “strange metals” have resistivity at low temperatures that is linearly proportional to temperature—that is, their resistivity varies with the actual temperature rather than with the square of the temperature.

>Scientists have observed superconductivity emerging in multiple families of strange metals at relatively high temperatures.
No idea about that, never heard anything similar.

I use fdroid and aurora store for installing apps, and push notifications work nicely using microg. Of course microg needs to connect to G servers (no way around it), but at least it works and there is no G app running on the phone.
> I even read a post recently here in HN where it was said that "Urban humans have lost much of their ability to digest plants"

This story is interesting, but doesn't shock me a whole lot from the perspective of losing our touch with nature, because we now have an understanding that our ancestors fluctuated between carnivory and herbivory quite a lot. If these population changes in gut bacteria can be caused in such a short span of time, it seems likely that it can also be reversed.
Hehe, but if you count "broken dependencies" as accidents/fatalities akin to bugs, it's way safer than all new languages by virtue of being too old/disorganized for a built-in packaging system.

The left-pad incident was a 4,000,000-car pile up!
Definitely agree that it’s likely a mix of factors, and certainly one that’s very difficult to untangle in a satisfactory way. Also it seems likely to be confounded by the usual “nature vs nurture” type issues. Like in the Star Trek TNG universe where no one has any material or societal constraints whatsoever would that same preference discrepancy show up? And even if it did, would it be attenuated in any ways by changes in cultural norms? Questions that are probably impossible to answer; still at least seems worthwhile to tackle the obvious low hanging fruit of causal sexism, harassment, etc.
Backyard insect inspires invisibility devices, next gen tech
I disagree that this mitigates the quoted section from GP, even if I agree with you in general.

The benefit of mandatory push to talk cannot be significantly mitigated by any current headset system. There is a "habit of intentionality" (for lack of a better term) that comes with mandatory PTT that is missing in corporate meeting culture. It only takes one bad apple or VP with mad mic hygiene to throw away all the benefits of company-supplied noise-cancelling-dynamic-threshhold-sensing microphones.
Because selling commodity networking hardware is extremely low margin.

Why sell a $150 network backup box when you can sell mostly-unused cloud storage (no hardware, no returns, no warranty replacements) for $120 a year?
Examples [1] of these features.

[1]: https://www.happycoders.eu/java/java-22-features/
> Go is a deeply complex strategic game — famously far more complicated than chess, with 1,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000 possible board configurations.

The correct number of legal Go positions is over twice as much, or to be exact [1]:

208168199381979984699478633344862770286522453884530548425639456820927419612738015378525648451698519643907259916015628128546089888314427129715319317557736620397247064840935

Indeed far larger than the ~ 4.8 x 10^44 legal chess positions [2], that is in between the number of legal 9x9 and 10x10 Go positions.

[1] https://tromp.github.io/go/legal.html

[2] https://tromp.github.io/chess/chess.htm
Daesh (ISIS) is not Hamas or PIJ. I mentioned nothing of them, you're putting words in my mouth. They could not be further from each other, and it is incorrect to equate them.

Comparing Morsi to Hitler? No comment there.
That's right, they could be doing no work at Google !
I was at a very small tech-adjacent company for almost 10 years and we definitely let people go who just weren't working out. What surprised me was how blindsided they typically were when it was blindingly obvious to everyone else there was a problem. They'd probably all have been able to find a role to coast in at a larger firm.
Show HN: Real-time voice chat with AI, no transcription
Hi HN -- voice chat with AI is very popular these days, especially with YC startups (https://twitter.com/k7agar/status/1769078697661804795). The current approaches all do a cascaded approach, with audio -> transcription -> language model -> text synthesis. This approach is easy to get started with, but requires lots of complexity and has a few glaring limitations. Most notably, transcription is slow, is lossy and any error propagates to the rest of the system, cannot capture emotional affect, is often not robust to code-switching/accents, and more.

Instead, what if we fed audio directly to the LLM - LLM's are really smart, can they figure it out? This approach is faster (we skip transcription decoding) and less lossy/more robust because the big language model should be smarter than a smaller transcription decoder.

I've trained a model in just that fashion. For more architectural information and some training details, see this first post: https://tincans.ai/slm . For details about this model and some ideas for how to prompt it, see this post: https://tincans.ai/slm3 . We trained this on a very limited budget but the model is able to do some things that even GPT-4, Gemini, and Claude cannot, eg reasoning about long-context audio directly, without transcription. We also believe that this is the first model in the world to conduct adversarial attacks and apply preference modeling in the speech domain.

The demo is unoptimized (unquantized bf16 weights, default Huggingface inference, serverless speed bumps) but achieves 120ms time to first token with audio. You can basically think of it as Mistral 7B, so it'll be very fast and can also run basically anywhere. I am especially optimistic about embedded usage -- not needing the transcription step means that the resulting model is smaller and cheaper to use on the edge.

Would love to hear your thoughts and how you would use it! Weights are Apache-2 and on Hugging Face: https://huggingface.co/collections/tincans-ai/gazelle-v02-65...
Should I think of Iceberg as the on-disk equivalent of Arrow?
It's not that she didn't graduate high-school, it's that she didn't GO TO high school, which probably meant that she was home schooled, which in America can mean a lot of different things and doesn't preclude you from going to university (as she implies in the thread she did)
It's interesting to me what the Hamas government thought was going to happen when they decided to attack Israel. Was there a plan if it went wrong, what kind of help or promises were they expecting from the Arab world? Did they not anticipate that the Israeli Gov was waiting for this opportunity to inflict a mortal blow? History has shown that Palestinian lives mean nothing to the Arab world. The Arabs want nothing to do with these people as evident by their reaction. Egypt seals it's borders, other countries ignore their demise. In what world did Hamas think this was a good idea?

I'm really struggling to understand what the benefit is to Israel to starve 1.1 million people to death. It would be a good way to turn the entire world against them. Not that anything might happen but there is always a chance it could cause some serious repercussions.

I think it would be a good idea to feed these people and not starve them to death. If you disagree with me and think they deserve to be starved to death, please let me know why. I would be interested to know your reasons....
I think python objects have a __hash__ method available on them as well that can be used for hashing. That should be even much faster than sha1, but for this use case I'm not sure how much it really matters. Would be interesting to benchmark!
I doubt Oracle would fix it, as this is definitely a kernel bug that breaks userspace. It is part of the POSIX spec what the JVM relies on, and MacOS is supposedly POSIX-compliant. So it should be Apple that fixed their bug.
try creating a new temp user account and try there. Should give you a good idea if there's an issue with the software itself or your customizations. Then you can narrow them down.
He also wrote Wurm Online with Rolf Jansson, all in Java OpenGL. Was a bit of a mess of a game but it still has an engaged community.
I wonder if one human lifetime is enough to count all the TODO apps.

Strongly in the pen and paper camp, myself.
I asked ChatGPT to summarize, this is what it came up with:

* Inflection shifts focus to AI studio business, developing custom AI models for commercial use.

* Plans to host Inflection-2.5 on Microsoft Azure, with plans for other cloud platforms.

* API launch soon, sign-ups for early access open.

* Co-founders Mustafa and Karén to start Microsoft AI, leaving Inflection.

* Sean White appointed new CEO; Reid Hoffman remains on board.

* No immediate changes to Pi service; privacy and data policies unchanged.
Why don´t they have some strong IR source that can selectively heat the water molecules and zap them into space?
Do clients generally check for revocation for every cert in the chain? You would think you would definitely want to as a compromised root cert would be highly damaging!
> I would imagine dreaming big is pretty good for children.

I would rather have my children dream of becoming astronauts than becoming the next Steve Jobs.
I think you might overestimate how fungible people exceptionally talented at physics might be towards other ends. I was an exceptional physics student and I've frankly never been all that productive at more prosaic tasks.

The fact is there just aren't that many people out there interested in string theory for you to get up in arms about. People don't complain nearly as much about mathematicians, who spend their time on much less practical areas of endeavor.

Frankly, the fact that some people get to make their living working on marginally-productive things that they like makes me feel a bit warm and fuzzy inside, in a way not unlike the experience I get giving my cat cat food and a place to sleep.
That is such a good point. It distracts us from thinking about what our industry really needs right now which is unionization and regulation. The risk of off shore outsourcing and AI and imminent. These kind of posts provide false promises of riches.

I also want to point out it shouldn't be a surprise to anyone that most founders come from well off backgrounds. Their parents can essentially foot the bills while they're getting things off the ground combined w/ the natural access to capital growing up in wealthy circles provides.
Consider getting in touch with your senator or representative [0] and also the FCC [1]. The recent changes we're seeing in other areas of the federal government give reason to stay a bit hopeful that the treatment of these kind of breaches don't stay the norm.

Lack of stewardship for folk's data should not just be the "cost of doing business".

[0] https://www.usa.gov/elected-officials

[1] https://consumercomplaints.fcc.gov/hc/en-us/articles/8824334...
lol why do so many people here have such a loser/average mindset, you can literally achieve anything, literally anything, just because you don’t want to work hard, you don’t gotta be so discouraging to other people, well I guess people who wanna achieve great things probably don’t care about the stupid lazy people, so it’s whatever
But the fact is you can literally do anything, you just gotta give it your all…
That’s “what we would like to have” (so mostly just a criticism that we don’t have it), but without much of a suggestion of how to actually achieve it in practice.
A legitimate concern given that Typst is still maturing. But I have at least one thing to say in its favour: you can lock the version of packages that you import. The only reason LaTeX documents full of \usepackages are reproducible ten years later is because packages are in maintenance mode, not because of well-thought-out future-proof design.
I don't see that the difficulty of predicting/anticipating emergent capabilities is really related to undecidability, although there is perhaps a useful computer analogy... We could think of the trained LLM as a computer, and the prompt as the program, and certainly it would be difficult/impossible to predict the output without just running the program.

The problem with trying to anticipate the capabilities of a new model/training-set is that we don't even know what the new computer itself will be capable of, or how it will now interpret the program.

The way I'd tend to view it is that an existing trained model has some set of capabilities which reflect what can be done by combining the set of data-patterns/data-manipulations ("thought patterns" ?) that it has learnt. If we scale up the model and add more training data (perhaps some of a different type than has been used before), then there are two unknowns:

1) What new data-patterns/data-manipulations will it be able to learn ?

2) What new capabilities will become possible by using these new patterns/manipulations in combination with what it had before ?

Maybe it's a bit like having a construction set of various parts, and considering what new types of things could be built with if it if we added some new parts (e.g. a beam, or gear, or wheel), except we are trying to predict this without even knowing what those new parts will be.
And then there's the more deceptive deficiencies . . .
As someone who has used every TODO method under the sun over the last 20 years and talked to other people on their own work tracking journeys, I think task management to be a deeply personal thing that has to map to how you think and do things for it to stick.

Pen and paper worked great for me when I did everything at a desk (or carried a notebook with me) and I was always doing deep focus work. I went digital when I started being more mobile in my work and I had a lot of contexts where I needed to jot quick TODOs as I thought of them. Also, it's difficult to collaborate with my wife using paper.

The inbox mechanic for tasks works great, because I don't need to add all my task metadata right away. I can also annotate projects and contexts so I can say "what are my TODOs when I'm at home" or "what are my TODOs related to a person on my team". Now that I'm tracking over 20 things, it's necessary to stay organized
A. K. Dewdney has died
Inventor of Core War, author of Scientific American's "Computer Recreations", The Turing Omnibus, and The Planiverse.
> In ten years, probably no human can compete with AI drivers anymore.

That's what they said 10 years ago. Sooner or later people will say it and be right, but the last few percent of any problem is a lot harder than people give it credit for. It may not be that hard to stay in a lane or write a little code, and that may look like it's doing most of the job, but those common tasks are just the easy part.
Wasn't the Apple Car a Steve Jobs idea originally? Wikipedia says:

> In February 2015, Apple board member Mickey Drexler stated that Apple co-founder and CEO Steve Jobs had plans to design and build a car and that discussions about the concept surfaced around the time that Tesla Motors debuted its first car in 2008.

Mind you, Jobs had been dead for several years by 2015, so who knows how serious or committed he would have been to it if he'd lived.

In general, I have no problem with companies making bets on a variety of products. The bit about Apple not having the most resources stopped being true. They succeeded as underdogs because they saw what other companies were doing already, and then integrated those inventions into Apple's own vision of the world.

(The Airport is a great example of this. Apple did not exactly invent wifi.)

But now that Apple hovers at or near being the biggest tech company in the world from week to week, there's an argument that they have to be the ones to invest in early research and skunkworks projects, because they've bent the industry around them. Everybody is now reacting to the world Apple remade in their image, and there aren't as many companies doing wildly different stuff for Apple to purchase and integrate into a radical vision. So, it's only right for Apple to be doing this stuff themselves, and we should expect them to fail at it more often than they succeed because that's just how it works.

And I assume the reason they're not setting the world on fire as often as they used to isn't because of lack of focus, it's because Steve Jobs was a rare individual with a set of skills and, uhh, personal quirks that make him hard to replace.
Bjarne is simply pointing out that if we wait for static analysis tools to become sentient thanks to upcoming breakthroughs in AI and quantum computing, we can finally have fewer CVEs in C++ software.

> The white house is not some radical pioneer at the frontier of programming language design. By the time it says anything on the subject, it's been obvious to everyone else for years.

That we should return to Ada? ;p Oh, wait, sorry; I have no idea what that is. We need Rust.
quite sure it's just unlucky ppl that got rewarded for acting like this
Harbor freight famously sold unreliable jackstands for awhile. There’s memes about it in the car community.
And Colossus stores its metametametadata in Chubby :)

https://www.pdsw.org/pdsw-discs17/slides/PDSW-DISCS-Google-K...
Show HN: Working on open-source perplexity AI
Hey guys, I am think of building an open-source version of Perplexity to let devs play around with it.

But with all the existing tools available what features would you want? Anything specific? What is missing?

Currently working on -

1. Streaming text

2. Citations sources

3. Image and file upload

4. Chat history and storage

5. Temperature and custom instructions

If you are in marketing or growth can anyone help me with what to focus on while building such an app?

Also here is a very first version. Probably will break and most of the buttons also don’t work, built it in 3 days using Bing and OpenAI

Will complete the rest of the app and share code in a month max.
Founders can take multiple shots too. Everyone is playing poker to an extent. VCs are playing cash games and founders are playing tournaments.
Discourse still offers a worse experience than phpBB though, even if you use a fast device.
The best SQL extension I could find for MySQL and PostgreSQL is Database Client.
That was actually a cool video.

I still want to "retire" to the matrix, but I don't feel like giving Reddit all my personal information.

And to be completely honest, I sort of want to just cut back down on my Reddit usage.
The engineers wanted to write a thin encabulation module in K++, but management insisted that the engineering team use the industry standard Encabulate.moo library, and the Cows on Crack framework doesn't have a stable ABI.
These are all great points!

1. Definitely want to improve favicons. For deriving fields, we do have formula fields. Would love to show that to you, it's not obvious enough how to use to enable for this HN launch.

2/3. Sorry about that. This username/password approach for the HN launch is definitely a hack.

4. Right now, search is just on the current type of record you're looking at. I want to fix this, and I just haven't because I haven't made the UI for filtering what objects to search across. The backend is in place though. Glad it seems suspiciously fast! I can assure it's a real FTS talking to a database.

5. I want to fix this too. A way to make data of type "Link" for better UI treatment.

6. Archiving is meant for data that others shouldn't be looking at -- it's a staging ground for data. That's why you can't point into archived data. It's also a precursor for deleting data, and we want to guarantee no dangling references to deleted data.

7. Will fix this.
Evidence of Foreign National Accessing Dominion Voting Machines Leaked to Public
> Does anything good come from encouraging people to ignore the actual situation that the overwhelming majority of the population finds itself in, and instead focusing on some essentially impossible pipe dream?

If one is trying to recruit future Sergeys Larrys, then it’s prudent to write to a very narrow audience.

This article addresses that audience perfectly well, imho.

> The absolute worst of SV thinking, personified.

… or maybe the best.

This is not “general life advice from pg”. It’s highly targeted and narrow.

That’s ok. That needs to be ok. It’s one of those things that makes SV unique and uniquely strong, imho.

Edited to add the following:

The advice goes from broad (you don’t have to get a job, you can start your own company) to very specific (how to start a hypergrowth startup), with lots of other (good, imho) advice in between.

This will resonate with some folks in the (ostensibly high school) audience, many of whom may be unfamiliar with startups, the startup world, and maybe even the tech world in general. It will fall on deaf ears for most of the rest, because that’s not the life or lifestyle they are looking for.
It’s completely ridiculous that this effort is framed in this way, as if spending $10 billion was irresponsible and against the wisdom of their late Demigod founder.

Apple has so much cash that they literally can’t spend it.

If Apple wanted to get into unrelated large capital industries like oil, banking, healthcare,
or commercial aviation I wouldn’t blame them. Consider this example: more than half of US airline revenue is made up of credit card financing activities. They are banks first and airlines second, so it would make a ton of sense for Apple to get in on that type of industry.
Git Project doesn't allow criticism
The submission doesn't state it explicitly, but a firm's debt enters its Enterprise Value at its market value, not its nominal value [0]. If an openly traded company (a company that has non-zero shares) had a market capitalization of zero dollars, the market value of a bond issued by it would be, most likely, also zero, or very close to zero, even if its face value were non-zero.

If the market values a firm's stock at zero dollars because it isn't expected to increase in value nor to pay any dividends at any time in the future, then it wouldn't be expected to pay back any of its debt either, and so the market value of its debt would also be zero.

Hope this makes things clearer.

[0]: https://en.wikipedia.org/wiki/Enterprise_value#EV_equation
Devin, the first AI software engineer
"And setting a new state of the art on the SWE-bench coding benchmark"
That all sounds great, until you meed someone who cannot communicate over phone at all.

I've worked with people who simply ignore emails and don't respond for multiple days.

I've worked with people who only respond to the first question in the email, and ignore other questions.

I've worked with people who were unable to follow instructions if overall email length was longer than 2 paragraphs.

.. in all those cases, it was so much fast to call people. Requires more effort, but latency was so much lower.
Can ice sublimate at these temperatures?
Comparison between languages: https://hotforknowledge.com/2024/01/13/1brc-in-dotnet-among-...