skysight-inc/HackerNews huggingface dataset:
There are two sides to everything. Scientists say that swearing is a sign of intelligence:

https://www.cnn.com/2021/01/26/health/swearing-benefits-well...
There's a great client for Android yes. https://tincapp.pacien.org/

For iOS there isn't. Last time I checked there's only one without a GUI that needs root.

PS tinc is not fully zero trust. Every node can connect to every other one. This includes vps nodes you'll probably use for firewall traversal. Other systems have a 'lighthouse' concept where the vps just coordinates traffic but isn't able to actually read it.
My argument is that the things that waterfall specializes in, which is managing stages of work and dependencies between work is actually insignificant to the success of projects people care about.

Waterfall is good when you are building structures. But value exclusively comes from the integration, verification, validation, and deployment of structures. With these types of tasks, the variance in estimates exceeds the mean of those estimates. Effective workers constantly probe different pathways to success and this makes your project network, with its delineated stages and strict dependencies, totally divorced from reality.

The outcome of knowledge work, is knowledge. Not story points allocated, not dollars spent, not time used. The best hope of having a project management approach with valid predictive power is to track knowledge earned and not EVMS metrics satisfied.
This seems like an ineffective way to either comply or not comply, since the actual result is clearly the fault of the legal hold team for not handling it themselves.
I always had problems understanding what they say so quickly. Are there any voice recognition AIs that are trained on ATC voice data, with typical RF noise?
But it’s been years?
Ironically, restaurants are the go-to source of steak knives past security.
that is exactly what it says in the linked article
> What we care about is the best model we could run on our own hardware, not how efficient was its training, that doesn't cost us users anything.

Training cost is a huge (but diffuse) cost because it limits which organizations can be train a model. Such concentration of power greatly affect users.
I’m using it to learn C and I absolutely love the mentoring feature. I get answers within a few hours, the mentors are very kind and helpful. Highly recommended.

They’re struggling for money so if you’ve enjoyed using it consider donating something to keep the show going.
Technology Lifecycle – managing expectations for infrastructure projects
In classic US mid-century dishwashers, to be precise; I suspect the new "high efficiency" ones won't work either.
Last I looked, the GDPR gives “data subjects” (=regular citizens) autonomy over their data in the first place. Your argument is rather flawed: how does it help well-informed people to merely know that LLMs use personal information in their training data sets when they cannot legally block OpenAI and others from doing that? What exactly is the upside for individuals when some LLM “knows” personal details about them? I cannot think of anything. By contrast, the misuse potential is huge.

Yes, laws like the GDPR are inconvenient and costly to comply with. But they exist because personal data is harvested, monetised otherwise and used without the individuals’ consent. Which is never to their advantage.
Although I’d note this is more like a 1pb stored model.
Europe Climate Change Goals Fuel Green Aviation Innovation
You aren't reading enough of HN/Twitter then.
https://archive.ph/tq68I
I do think minivans are somewhat more convenient but I think the line between a modern minivan and suv is minimal.

Example: take a look at the first few seconds of this video [1], can you immediately say which one is the minivan and which is the SUV?

[1] https://youtu.be/gtPyH9dB4PI
No need, I have read David Bentley Hart's sources: Gregory of Nyssa, Isaac the Syrian [1], Maximus the Confessor, Symeon the New Theologian, Gregory Palamas †. Great thinkers, the "fathers", they really did a bang-up job merging Judaism and Greek Neoplatonism. Can't say you can't hear Plotinus' One every time Christians speak of God's Unity 3-in-1 and Filioque [2]. Lev Shestov's classical Athens and Jerusalem is a good summarization of the whole process.

My absolute bang-up theologian is however Pseudo-Dionysius the Areopagite, he/they really took Plotinus to the max: "God is not only the cause of all being, but also of all non-being.", "The Divine Names", Chapter IV, section 7. That Greek ouden, non-being, taken shamelessly from the thoughts of Anaxagoras and Parmenides.

However, all these great Generative Pre-trained Transformer ramblings of the theologians (ChatGPT is the best theologian of all times, it can go on and on, till the gods come home) have nothing to do with the practice of religion. For all the books that I have read and hoarded, all the major religions, and some minor ones, would burn me at the stake, they are very jealous of each other.

The fact of the matter remains: for the past 3-4,000 years, probably as a side effect of humans coming together in such large numbers (5,000 years ago, the city Uruk had 50-80,000 inhabitants, absolutely unimaginable how they lived), this mental parasite, this bug (as in software) of a "Beyond", probably a remnant from the hundreds of thousand of years of searching for food beyond that hill, has plagued everything about us: our behaviour, our mores, our concepts. And in more recent times, it has allowed for the most vile of us to control all of us, from the Borgias to the House of Saud, not forgetting the local pedophile priest.

† I have also read Mr. Hart, of course, his best work is probably his thesis "Beauty, Violence, and Infinity: A Question Concerning Christian Rhetoric", all the core ideas are there: the atemporal fall, the salvation as free for all eschaton.

[1] I particularly remember this quote from Isaac the Syrian: "There will be a time when even the word 'god' will be forgotten". In one of his Ascetical Homilies.

[2] "The One is the absolute principle of all things, the ultimate ground of being, the transcendent source of all existence. It is the beginning and end of all things, the unchanging and eternal reality that underlies all that is mutable and transitory." (Enneads, V.3.1) The Enneads were written around the year 240, 400 years before Maximus the Confessor.

[3] https://en.wiktionary.org/wiki/%CE%BF%E1%BD%90%CE%B4%CE%AD%C...
I tried this with a textual list of oublic grilling spots in my city and it got it completely wrong, hallucinating with high deceiving confidence.

How do you prevent this?
kitty is much better than the rest on latency, see hardware based measurements
https://thume.ca/2020/05/20/making-a-latency-tester/

showing kitty has the same latency as terminal.app on macos.
I’ve come across a number of people who are hesitant to share their idea because they’re afraid someone will “steal” it.

The idea is not the hard part. The hard part is building the software, building the customer base, building the automation processes, and doing all the business-things associated with it.

I’ll grant that if you say “Hey, this thing is actually a marketable product” that you’re reducing the cost of a potential competitor, but really there is so much work to do. Even if you can get a lot of it COTS, there’s still a lot of effort to be put in.
Interesting example of a trumpeter using a Rubén's tube to demonstrate sound
“OTR” has been around for way longer. Not sure internally.
I think you're reading more into this study than the study itself says.

"Conclusions: Our study shows higher levels of neuroticism in patients with post-COVID syndrome" does not imply that "long COVID ... is likely psychiatric."

I'm an engineer, not a social scientist, but to my eye this study doesn't determine the direction of causality. It certainly seems plausible to me that a chronic illness could cause the neuroticism they measured, rather than vice-versa.

Further, the authors themselves seem to imply that there are non-psychiatric symptoms of long COVID: "Secondly, we evaluated the correlation between the main personality traits and the neuropsychiatric features of post-COVID syndrome" suggests that there may be non-neuropsychiatric features.

I think that, as unsatisfying as the prospect is, it's just going to take more time and work for humanity to really understand this virus -- including the nature of long COVID.

As an aside, this article from 2019 [0] suggests that ME is not (or at least not purely) a psychiatric illness.

"The US Institute of Medicine (IOM) in 2015 conducted an extensive review of the literature, including expert testimonies from the most prominent US ME/CFS experts and concluded that ME/CFS is a ‘serious biological illness’. Similarly, the US National Institutes of Health (NIH) concluded that ME/CFS is ‘not a primary psychological disease’ (Green et al., 2015)." [0]

[0] Geraghty et al., "The ‘cognitive behavioural model’ of chronic fatigue syndrome: Critique of a flawed model." https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482658/
There certainly are.

I address the study referred to by the CNN article you linked in the section[1] on the research on swearing:

"The vocabulary study (Jay and Jay, 2015) indicates that those who can list the most swear words can also list the most non-swear words … but knowing lots of swear words is separate from how much someone uses swear words. The correlation isn’t surprising. Anyone who is well-read is bound to have run across just about every offensive word in common use, and a number of archaic ones besides. The study insinuates that people who know lots of swear words are verbally fluent. But I think what’s actually happening is that you can’t become verbally fluent without learning lots of swear words."

The scientists say swearing is a sign of intelligence, but the science itself doesn’t necessarily.

I also self-administered the CWAT test from that study, just for fun, as described in the Citizen Science Report section.

[1]: https://www.autodidacts.io/swearing-is-dumb/#theresearchonsw...
I cannot find the citation right now, but the p and n EDMs are expected to be close to each other ~1e-32 e.cm. One part is that they are uud and udd and the other thing to consider is that the quarks make up only ~2% of the proton/neutron mass. Most is binding energy and a soup of virtual quarks and gluons and in that regard they are even more similar I think. I am not very familiar how theoreticians calculate the EDM of such complex particles though.

On a side note, 'ultra cold neutrons' are a super interesting type of matter. Their energy is so low that they can be stored in bottles and are transported through tubes using turbines and mechanical valves.
Oops, that's fraud!
row rever?
Right. HN has always been pretty welcoming to tech-related commercial ventures, especially when posted by the creators themselves. It is (or was at one time... a lot less nowadays) a site for startup founders, after all.

A book of this nature seems definitely on-topic.
I don't understand how the author can write "No, they cannot.",
while the page says "GPT 4: 0 false alarms in 15 good examples. Detects 13 of 13 bugs."

Edit: the post says open-source models.
There’s an awesome cookbook on this topic, Manifold Destiny: https://books.google.com/books/about/Manifold_Destiny.html?i...

I played around with the idea with my first Jeep Wrangler, a burly car with a perfectly exposed engine block. Never cooked anything, but I was endlessly entertained by the idea that I might. I suppose the transition to EVs will steal this particular daydream from my kids…
> systems that are based on heuristics

Like the whole modern psychiatry.
> swift/kotlin/rust/typescrip

I don't use any of these and because it just<does>
You can remove folders from spotlight indexing. I do it for all the source code folders.

I’ve also built a small tool to check whether some git repo is in sync with upstream, so it could be deleted: https://gitlab.com/leipert-projects/git-recon
Thankfully I am not and never will be.
SEEKING CO-FOUNDER Social Commerce | CEO| Chicago/Midwest| Pre-seed

Looking for a technical co-founder. I'm in the early stages of building Styrate.co, Styrate is a social platform that uses AI to provide personalized and trustworthy product reviews. Users can follow reviewers, watch video reviews, and share lists of reviews. Think of us as a social
@wirecutter powered by AI. I'm looking for someone who can help me build this out, I already built out an early MVP (Styrate.co)
There is the theory of containers (unrelated to the docker kind). They represent functors on sets and the differential operator on them satisfies the usual laws.

In short a container is a set of shapes and a set of positions for data in each shape. The derivative of a container is the container you get by removing one position in each shape.

An example of a container is the list container, which maps any set to the sets of lists of elements from the set. The derivative of the list is the pair of lists.

As for multisets, the bag functor is better defined on groupoids than sets. But there is a generalised notion of container for groupoids, with a similar calculus. The bag functor is special because it is its own derivative, just like the exponential function.
I was bothered by using Vim with Dvorak but now I find it more comfortable than when I did not use Vim daily. The solution described in article may be useful for using Vim with other language and still have a command mode.
Social dynamics are so much more complex than this childish analysis. Misses the most important reason for swearing completely: to fine-tune the tone of the conversation. And there’s nothing special about swearing here, all words and gestures can be deployed effectively for this purpose. And there is absolutely no need to avoid swearing between adults, grow the fuck up. I get the feeling this guy doesn’t have too many close friends.
Actually ... that's a reasonable goalpost, in my opinion.
Yes, humans make careless mistakes. However, humans mostly make careless mistakes because A) their brains have to reconstruct information every time they use it, or B) they are tired.
LLMs, as piles of linear algebra, have neither excuse. Their training data is literally baked into their weights, and linear algebra does not get tired.
We are building LandHive AI, which enables you to generate websites by simply promt the system with a website title and a content briefing. See a demo: https://youtu.be/0S5rU0odTOk

My biggest challenge using the api so far was that the output is not reliable. Randomly from time to time it outputs notes and comments even tough I asked to only reply in a code block. Also if I rerun exactly the same promt, it can output something completely different (different content is fine, but I teach chatgpt to follow a structure - it works in 90% of the cases just fine). I’m using 3.5 not 4.

The api can be down regularly. This is annoying especially if you have longer conversations. I had a hard time to resume a conversation. I usually restart the whole process.

However, the overall capabilities are mind blowing. The system surprises me very often.

https://landhive-ai.netnode.ch/home
Prompt or it didn't happen
It is amazing to see how GPT is so much better than other LLMs. Should this be attributed to OpenAI's better training data?
> people who inference their models at scale

What does "inferencing models at scale" mean?
> The BEAM process model makes it so that a failure in one process won't take down all processes

Yeah. But the deveveloper still decides on how many and what processes there are. They have to understand the concept of a process and spawn them accordingly.

The same is true for Rust Tokio (and similar solutions) as well - you have to create tasks and manage their lifecycle.

For example, if you were to implement an http server, you'd have to use one erlang process per request so that if something goes wrong it only impacts this request and doesn't kill the server.
In Rust, you would create a Task (green thread) per request as well, which then (if it fails) will not impact that Task that is "supervising" and creating those per-request-tasks, no matter if the request fails for a "valid" reason or because of a bug like an endless loop.

And even if there is memory and CPU resources (even OS threads) shared between those tasks, they are logically separated and for the developer it only matters in very rare cases (such as OOM errors).

I'm not saying that you get exactly the same level of fault tolerance or convenience with Rust here but I also don't see the fundamental difference. Hence, I feel your analogy would only make sense, if the developer has to work without a Task/Greenthread library.
Yes because the minute that someone from the “other” (whichever side you don’t like) party gets in control do you think they are going to do things that you want?

Desantis just tried to push through a law that said you have to register with the state if you report on politicians. Do you like that proposed law?

Do you want the government to have access to all communications between you and your coworkers? Do you want to be questioned every time that you tell a coworker over Slack “maybe we should talk about this at lunch?”

It amazes me that people want the only organization that has a “monopoly on violence” to have more power.
Tested on toy examples: fibonacci numbers, quick sort and so on. Give it a pile of some C++ mess from any well known project.
Mine was worth like $9000 when I discovered an old Stellar Lumen crypto wallet with some coins on it I got during an airdrop back in the day. So hoarding paid off.

But then again - I have the same problem as OP. I have terabytes of photos which I should really cull but I can't get myself to do it because I'm a lazy fuck.
I've travelled by ferry to both Northern and Southern Ireland several times and have only been searched once. This was on a work journey where it turned out my colleague had a criminal record. This was 10 - 12 years ago so perhaps things have changed since?

I have been routinely searched before boarding a ferry to Spain as a foot passenger. AFAIAA, car passengers are not routinely searched, so I don't know what the logic is there?
I think you’ll likely get tapeworms: https://www.leicestermercury.co.uk/news/real-life/woman-who-...
You signed the contract that said “you get paid X amount for Y work or better.” If you do Y+1, then obviously you get paid X. There was no clause on the contract you signed that you got paid proportional to your work, only that you got paid for doing a bare minimum of work or better.

If you believe you should be paid proportional to your work, then do freelancing or have your own company. Just don’t cry over a contract you willingly signed and didn’t read.
Let's not forget the graph Fourier transform: https://en.wikipedia.org/wiki/Graph_Fourier_transform
I’d note that the models don’t just acquire language facility, but the ability to use language with alacrity about almost any subject. There’s no human alive that is remotely as capable, and most I’ve met hallucinate more.
I feel like they made a lot of weird choices like let being the new const, while still having constants, that won’t be confusing at all. While disappointing I will try and port over some of my webgl stuff and see how I feel about it.
I remember running X the first time on Linux just after it was reported working because I happened to have the exact chipset that Peter MacDonald supported in my 386 at the time. We ran it off of a boot and root floppy - both 3.5", 1.44MB disks.

We didn't do much with it at the time, but it was a big deal... we had only run X on workstations before that, and they were expensive and few and far between.
Game developers is the least paid and with more workload and with bigger risk of being replaced by ai
Have you tried llama.cpp? It doesn't need a GPU so it's generally cheaper to run, and inference speed is decent (1-10 tokens per second depending on model size and hardware specs). Not sure if it's been set up to work with the open assistant stuff yet, but should be soon given how fast things are moving.
what happened to SUSE? they were the same. are they no more?
I felt the same way and then I just settled on “oh neat! I’m glad this exists for people who aren’t me”
Presumably. Vicuna was fine-tuned on ChatGPT responses, but from a quick glance through the examples in the blog post, there are none asking it to find a bug: https://vicuna.lmsys.org/

I've found Vicuna 13B to be quite capable at _generating_ code. But not as good as GPT-4. Model size probably also plays a large role: 13B parameters runs nicely on normal-ish home user hardware, GPT-4 not quite.
Relays can't see your data, because the connections between your synchthing instances are mTLS encrypted.

Using an additional shared secret on a folder allows you to sync a folder to an untrusted device, which then itself only sees encrypted files.
You know, I forget about this article and stumble across it again every few years. It's always a delight to re-read.

I don't know why, but it always brings me back to the memory of my first Mission burrito, years ago — learning the secret menu words [1]; unwrapping our delicious meals as we talked [2]; talking about this startup or that startup, and what we were all going to build... those were simpler times, and we were still young and full of dreams.

[1] Slide up to the counter when it's a little less busy, ask for your burrito dorado, and prepare to have your mind blown.

[2] I remember ours was one of just a few tables that evening. The night was winding down, everyone huddled over their burritos, and the cool breeze drifted through the open storefront. It was like our own SF version of Edward Hopper's Nighthawks. Of course, this was way back in the day when the taquerias sometimes wouldn't have a line at all, if you knew the right time to drop in and order.
If there isn't much code to review, then it makes no sense to exclude them from the audit.
I think this would make for a great blog post. I'm sure many would be interested in more details around this, not just the technical details of how you go about digitizing 35 years of cassette tapes! but any other details you found significant around this project.
> It's like saying it would be good if there were two competing projects writing something akin to the Linux kernel. It's just not true.

No, I think it actually can be true. For example, since you point out Linux, the world is better for having FreeBSD, because FreeBSD does things that Linux can't (ZFS in-tree) or won't (combined base OS, not just a kernel).

Note that this works when there's a significant difference; if we start with a fork of the exact same code, it'll need a real driver to matter (example: any project acquired by Oracle and immediately forked by the community).
There are some projects, such as this one: https://github.com/idiap/w2v2-air-traffic

They transcribed 5000 hours of ATC speech data (available for licensing, not free).
No one runs the service. It is autonomous.
Just a pleasant coincidence
> How much of a difference is there between low strength img2img and a "smart" Photoshop filter.

Trouble is, his work wasn't img2img, there was no initial image as input
When I’m done with a project, I’ve taken to packing up these kinds of files into a disk image. That way, I can access them if I need to, but they don’t show up in search. There’s a risk that the image gets corrupted or isn’t readable on some future OS, but since these aren’t mission critical files, I’m not too worried about that.
It's really weird. He's one of few artists whose songs consistently get better the more you listen to them. It's like you need a few passes to even begin to appreciate how brilliant they are.
Read any newspaper for the past year and a half that has been ceaselessly pumping out “COVID is over” think pieces while life expectancy is declining, excess deaths remain high (whereas before the pandemic they were largely static for years and years), and disability claims rise. It takes effort to ignore how much the consent is being manufactured.