skysight-inc/HackerNews huggingface dataset:
I totally agree. Ortholinear keyboards have crap ergonomics.

Column stagger is what you want, and maybe even a concave keyboard.
The sentence is missing the example of "May", as you observed. It should say:

> Take, for example, "Day" and "May", which are even, and "Say", which is odd. Since the "-ay" suffix is consistent, it indicates that "S" is the first letter in the target word.

(Because as "Day" and "May" have the same parity and different from "Say", it must be that "D" and "M" must have the same correctness and different from "S", and as only one letter can be correct, that letter must be "S".)
As the FAQ entry notes, one of the "sides" in the design space here is "a fragmented ecosystem is best because there's no other way to accommodate the variety of different styles people want to use" - this is a totally reasonable preference to have!

Still, hopefully it's clear why a language designer might want to go down a different path. After all, it's also totally reasonable to prefer an ecosystem which isn't fragmented along these lines (the way it is in, say, Scala) even though it means fewer different programming styles are supported.
Apples are better than bananas. Cherries are worse than apples. Are cherries better than bananas?

--

GPT-4 - wrong

gpt2-chatbot - wrong

Claude 3 Opus - correct
I'm asking it about how to make turbine blades for a high bypass turbofan engine and it's giving very good answers, including math and some very esoteric material science knowledge. Way past the point where the knowledge can be easily checked for hallucinations without digging into literature including journal papers and using the math to build some simulations.

I don't even have to prompt it much, I just keep saying "keep going" and it gets deeper and deeper. Opus has completely run off the rails in comparison. I can't wait till this model hits general availability.
https://twitter.com/search?q=gpt2-chatbot&src=recent_search_...

Basically just search Twitter for `gpt2-chatbot` to follow the rumour mill, or go to https://chat.lmsys.org/ and choose `gpt2-chatbot` from the dropdown to test it sourself.
And Jan Marsalek, of fake German payment startup Wirecard.
Most aren't trying to. The manager in an investment fund probably has all the money he needs to enjoy life. He doesn't care about the performance of his fund, so long as clients stay on board.

And the funny thing is, that makes his fund far more driven by the whims of the public than retail investors. So many stories about funds staying away from the dot-com bubble end with "the fund had to close, because of clients pulling out their money".

Half the reason Warren Buffett is hailed as genius is because his shareholders can't pull out their money easily.
agreed: john le carre bbc is great.
also loved Luther, slightly off topic.
> their appeal does not come from intellectual curiosity

Unless you're interested in human behavior and see finance as part of a natural process. From a biology perspective there's an obvious line of thinking around resource sequestration you can't really discuss in public, so I'm always interested in seeing the shape its eventual expression takes.

The articles are also rage bait and I agree with the moderation fwiw. We aren't really here to square this particular circle.
That doesn't make sense. Of course it's a "single point of failure". I don't think anyone could have ever thought otherwise. A competing archive service would undoubtedly be great for humanity.
The article does not mention this, but the second paragraph links a MW definition which does explicitly call out that this usage is primarily US-based: https://www.merriam-webster.com/dictionary/nonplussed
GNU Artanis-0.6 Released
A Corolla cannot accommodate 3 child seats.
“wealthy institutions easily have access, poorer ones do not),”

Everything you said is agreeable except that statement. The institution’s wealth doesn’t trickle down to the docs, who pay out of pocket for many of these tools.
https://githubnext.com/projects/copilot-workspace/
Slice, no. But look up "wood carving disc" or "wood shaping disc" for some angle-grinder related crimes against woodworking - lots of power, but you'd better know exactly what you're trying to accomplish. (Besides, after 3+ decades of command-line-enhanced log processing, you can assume that a fitting or obvious name has been used three or four times already :-)
Who is the judge of the degree of contextual convolution? Must the LLM remain strictly factual when you simply append "ELI5" to a prompt?

> ELI5 how is France governed?
> ...and Macron is the lion, the king of the jungle.

We also know that LLMs don't know the current date, and therefore can make calculation errors (which is made worse by their poor math performance as a language token generator). So on one hand it might say Macron was born December 1st 1977 (which is correct), but if you ask how old he is some LLMs might say 45 years old.

There is an incalculable number of ways for LLMs to output incorrect information. In an effort to comply with strict regulation the preprompt contextual limit is going to be exceeded.

Also this creates a situation where all but the most powerful LLMs (and LLM providers) will be non-complaint
For those of you with better understanding, did they establish causality? Does exercise fend of mental disorders, or do people with mental disorders find it harder to exercise consistently? The first could be a novel finding, but the latter seems obvious. Forcing yourself to exercise routinely requires discipline, and many mental disorders carry along with them executive dysfunction that make discipline harder to come by.
At this moment, there's no real world benchmark at scale other than lmsys. All other "benchmarks" are merely sanity checks.
The paper contains links to the raw data, descriptions of the data transformations they did, and links to some github projects, but it's all way over my head :) https://www.aanda.org/articles/aa/pdf/forth/aa49198-24.pdf
I've mentioned in a few comments now that the point I wanted to make (which I clearly did a poor job of), is that it's obviously easier to deal with only "internal interruptions", rather than both those and "external interruptions" additionally. You don't get to choose between the two, because the "internal interruptions" will exist regardless of how well you've managed to control "external interruptions".
This might kill the Internet Archive as a legal entity in the US if the outcome is particularly unfavorable, but LibGen, Scihub, Z-Library, Anna's Archive etc aren't going away.

> This is straight-up piracy, and there's a 0% chance of it being legally justified.

Agree to disagree. Copyright has worn out its welcome when it is locking up culture for life + 70 years at a time [1] [2]. The Internet Archive could archive and maintain these works in cold storage (both physical and digital), only to make them public again 100-200 years from now, but that would not be keeping with "Universal Access to All Knowledge." Disk and bandwidth is cheap, and the planet is big.

[1] https://www.copyright.gov/history/copyright-exhibit/lifecycl...

[2] https://www.princeton.edu/news/2003/02/21/lessig-were-copyri...

(no affiliation, but a fan and a supporter, and believe in defending public goods)
Show HN: Monitor your machine learning models on mobile/edge devices
Hello hackers,

I've launched InferenceTime for tracking and monitoring machine learning models' performance on mobile devices. I'm submitting this for gathering your perspectives and recommendations.

For data scientists and engineers, collecting real-world performance data for machine learning models across a range of edge devices poses a significant challenge. I built this platform for getting more insights of device & ml model combination.

We wanted to answer the following questions:

- How is our model performing on {X} device with {Y} OS version?

- What is the average inference time of our model on edge devices?

- How does the performance change over time?

- How does the performance change with different model versions?

- How does the performance change with different device models?

- How much resources are used by our model on edge devices?

The most important metric I use to track performance is the inference time as that significantly changes from device to device.
P.S. Site requires register/login but free option is available.
less anxious / depressed kids get to do more sports in the first place. kids without "the right attitude" or a lack of innate ability are routinely excluded from sports, as im sure many of us here have experienced.
Not another one
I'm the OP, and I'm talking about FSD. Sorry if that wasn't implied when I said I drive with it on 95% of the time. On all road types. It does great in construction areas as well.
Because nobody else wants to foot the bill to maintain the emp—err, I mean the rules-based international order. They have social safety nets they need to pay for.
I can write C style C++ or html 4 style html 5
I think https://docs.ray.io/en/latest/index.html is a good solution? basically debug locally, execute remotely?
I'm surprised by people's impression. I tried it in my own language and much worse than GPT-4.

Of the open source LLMs I've tried, all suck in non-English. I imagine it's difficult to make an LLM work in tens of languages on a consumer computer.
And when 'zooming in' and seeing the top 2/3 of the photo (https://www.esa.int/var/esa/storage/images/esa_multimedia/im...) I am super amazed that all these small discs showing are galaxies. GALAXIES (sorry for the caps).

How tiny are we (Humans, Earth, Solar system)... less than a speck of dust in the Sahara.

I used to look up in space when I was growing up and there wasn't any light pollution to the small town I was growing up in. At some point I think I started suffering from 'cosmic horror'. In later years I would pay attention only to the moon, and that reduced my stress significantly.

Nowadays (like in this bit of news, with photos) when I stick to the small photo in an article, I feel ok. When I see it in full size and I zoom in, and I realize that "sh*t! these 5-10-50 tiny white marks are GALAXIES.. and I have to change topics/tabs to keep the cosmic horror at bay.
> The Internet Archive has become the de-facto default location to upload anything rare, important, or valuable, and a terrifyingly large amount of history would suddenly blink from existence if it were brought down.

Here's the related discussion: Stop using the Internet Archive as the sole host for preservation projects | 87 points by yours truly | 27 days ago | 27 comments https://news.ycombinator.com/item?id=39908676
I mean we still do this for prisons because you get massive issues if you don't
Mario Kart Toy recalled due to accelerator pedal being stuck if it is clogged
Could it be that the alternative is losing stuff forever?
Blogging website building 2024-04-29 entry
I built a blogging website https://www.programmersdiary.com (https://github.com/TheProgrammersDiary) and logged how I built the website, why I made some choices in the diary so you could learn from my mistakes. The website took half a year to build (on hobby time). I try publishing each log entry at least once a week, so new log entries with new improvements are coming.
what are the benefits of this verses using Nix?
> straight-up piracy

Have you seen the other 97% of the archive?
After 30 years you might need a new pair of glasses
Someone using a gun to take your stuff has not established a market.
Prompt: my mother's sister has two brothers. each of her siblings have at least one child except for the sister that has 3 children. I have four siblings. How many grandchildren my grandfather has? Answer only with the result (the number)

ChatGPT4: 13

Claude3 Opus: 10 (correct)

GPT2-Chatbot: 15
For the same reason that shooting down an Iranian passenger airliner or blowing up its centrifuges isn't considered an attack on Iran.

Also because most of us aren't interested in nuclear war over anything less than an existential threat. And the odds of conventional war between nuclear powers escalating into nuclear war is too fucking high. You'll need a better reason than 'someone blew up a weapons stockpile' to risk that.

If you're not going to risk open war over a full invasion of Ukraine, we sure won't risk it over an arms depot.

De-escalation-by-default is a feature, not a bug in a world where the push of a button can kill a billion people (much to the chagrin of people who have never had war waged against them).
Download deepsync coder model via Ollama and connect to the model using CodeGPT plugin?
It's the term Bryan Garner uses for words that are inconsistent in meaning in a way that makes them difficult to use effectively:

https://en.wikipedia.org/wiki/Skunked_term

I'm not sure what his origin was for the term, but "skunked" as an adjective to me indicates a beer that was spoiled by exposure to light and/or heat. It's gone off.
I agree. Meta, Twitter, and Google should not be allowed to operate outside of the United States.
Israel has been a close ally for a long time. Only on one side of the political spectrum is there any trouble about it.

The pro-Hamas side is loud but small. In time it will fade away and America's relationship with Israel will remain.
wondering the same thing and is why I use Nix right now. I.e, works in prod / dev
Yes, law applies rules to facts.

No, connecting the facts and rules will not give you the answer.

Lawyers are only required when there are real legal issues: boundary cases, procedural defenses, countervailing leverage...

But sometimes legal heroes like Witkins drag through all the cases and statutes, identifying potential issues and condensing them in summaries. New lawyers use these as a starting-point for their investigations.

So a Law LLM first needs to be trained on Witkins to understand the language of issues, as well as the applicable law.

Then somehow the facts need to be loaded in a form recognizable as such (somewhat like a doctor translating "dizziness" to "postural hypotension" with some queries). That would be an interesting LLM application in its own right.

Putting those together in a domain-specific way would be a great business: target California Divorce, Texas product-liability tort, etc.

Law firms changed from pipes to pyramids in the 1980's as firms expanded their use of associates (and started the whole competition-to-partnership). This could replace associates, but then you'd lose the competitiveness that disciplines associates (and reduce buyers available for the partnership). Also, corporate clients nurture associates as potential replacements and redundant information sources, as a way of managing their dependence on external law firms. For LLM's to have a sizable impact on law, you'd need to sort out the transaction cost economics features of law firms, both internally and externally.
I think people don't really stop to consider - the Internet Archive could be gone tomorrow; either through legal action, malice, accident, mismanagement of the non-profit, etc. It's just considered "an Internet tool that exists".

I would argue that their attempt to even try this emergency library thing indicates that the people in charge are a bit too cavalier with what they have, for whatever (likely well-intentioned) reasons they may have.

And while individuals can mirror/datahoard the publicly facing parts of the IA, that's not all they have access too.
FWIW that's also how languages work that do have an academy. The academy may be a participant in the process but they don't control it, that's basically just a relic of before we understood how languages work.
Joe "Mansion" has entered the chat.
> Actually the relay community is pretty diverse - they have some colourful characters but actually a lot of them are just IT professionals, activists, and people working for libraries or universities.

Unless the son or daughter of an important politician, journalist or rich person, there are no pedigreed Ivy League people under 40 running exit nodes. No chance. There are tons of them working for NGOs. I am just trying to distill the cultural divide that people are really complaining about.

A great example of this is the Stanford student who won that journalism award, who was the son of a very important New York reporter. No chance a "normal" student would have gotten away with the campaign against the admins that he did, and yet, he gets the award! I mean bless his heart, but when talking about the most laudable aspect of Tor - protecting journalists - there's a complicated story there too, with bitter rivalries and dramas, that really characterize the "hair on fire" problem for most journalists.
> Isn't a nebula a cloud of dust?

Yes.

> I'm not sure how dense it gets, but would someone even notice if they were inside of the nebula?

https://physics.stackexchange.com/questions/26326/how-dense-...

(Google is your friend.)
There is usually a machine that inspects the ticket on entering the platform. There is usually a machine that inspects the ticket on exiting the platform, and there is sometimes a person walking along the train asking to see everyone's tickets. The machines are backed up by people, if there's no-one manning the line of barriers then they're just left open, and they act as a fallback for damaged tickets and the like, as well as someone you can plead your case to if you've lost it. Generally if you try to enter without a ticket you'll be turned away. Trying to leave without a ticket will be harder without paying a fine, as will getting caught without one on the actual train (again, you can try to plead your case, and there are legimitate reasons like the ticket machine at the station you left from not working, in which case you can buy the ticket at your destination, but you'll need to be believed).
My very first response from gpt2-chatbot included a fictional source :(

> A study by Lucon-Xiccato et al. (2020) tested African clawed frogs (Xenopus laevis) and found that they could discriminate between two groups of objects differing in number (1 vs. 2, 2 vs. 3, and 3 vs. 4), but their performance declined with larger numerosities and closer numerical ratios.

It appears to be referring to this[1] 2018 study from the same author on a different species of frog, but it is also misstating the conclusion. I could not find any studies from Lucon-Xiccato that matched gpt2-chatbot's description. Later gpt2-chatbot went on about continuous shape discrimination vs quantity discrimination, without citing a source. Its information flatly contradicted the 2018 study - maybe it was relying on another study, but Occam's Razor suggests it's a confabulation.

Maybe I just ask chatbots weird questions. But I am already completely unimpressed.

[1] https://www.researchgate.net/profile/Tyrone-Lucon-Xiccato/pu...
Per year for those who are confused..
This one is even more frightening, as it's (as far as I know) a one-man show that could disappear at any time.
Sadly, yes. It's more of a reason why you should download the stuff you want and need before it's too late: https://news.ycombinator.com/item?id=39908676
I've also experienced that I feel better when I exercise more, when I get passed the initial "barrier to entry".
Could of, would of, should of.
Now I am wondering the percentage of programs written in Piet [1] that are also valid Perl programs, and if there is any instance where the are two are actually the same.

[1] https://esolangs.org/wiki/Piet
The cloud paradigm is for players printing money that need a scalable way to catch all of those dollars by paying 1000 times more for compute on demand.

Create decentralized software and get ahead for the next shift.
reminds me of the cybertruck recall
The UK doesn't have exit checks.
If the court AI were a cost cutting measure before real courts were involved and appeals to a conventional court could be made then I think it could be done with current tech. Courts in the US are generally overworked and I think many would see an AI arbiter as preferable to one-sided plea agreements.
What the hell?

It establishes the Safe and Secure Innovation for Frontier Artificial Intelligence Models Act to regulate the development and use of advanced AI models, termed "covered models." So now LLMs will be subject to the whims of an unelected governing body and you will comply under threat of vague penalties?

Requires entities operating computing clusters to assess if customers intend to use resources to deploy covered models and maintain related records. If your judgement is wrong you are fined and go to jail?

If a model does not qualify for exemption, developers must implement cybersecurity protections, shutdown capabilities, safety protocols, and capability testing. Annual compliance certification to the Frontier Model Division is required. GTFO.

Developers must report AI safety incidents to the Frontier Model Division within 72 hours of occurrence. Oof.

Creates the Frontier Model Division within the Department of Technology to oversee compliance, issue guidance, review safety reports, and advise the Attorney General and Legislature on AI matters. Jobs! Jobs! Jobs!

Requires entities operating computing clusters to assess if customers intend to use resources to deploy covered models and maintain related records. There goes our freedom of association.

Allows the Attorney General to bring civil actions for violations, with potential penalties including injunctions, damages, and fines up to 30% of model development cost. Just lovely.

Directs the Department of Technology to commission consultants to create CalCompute, a public cloud computing cluster for AI research and innovation. Good luck with that!

LLM model development will be buried by red tape in California.
that's clever!
I don't think this is a good test. If I prefix it with "a riddle" then GPT 4 got it right for me

"Yellow"

I think the "temperature" (randomness) of a LLM makes it so you'd need to run a lot of these to know if it's actually getting it right or just being lucky and selecting the right color randomly
That's a brilliant idea - looks like https://www.blitzortung.org allows their data to be used in non commercial projects so I'll look into that
> This is a massive vacuum that needs to be filled, and managers fill it.

One problem is that the amount of "vacuum" that needs to be filled is often also decided by the managers, and many of them start creating work for themselves. Suddenly every team and every project needs to have a separate Jira and Confluence instance, there are meetings every day but most of the meeting is just reviewing the same information you have reviewed yesterday, etc. And the budgets, yeah, with so many managers there is hardly any money left to hire anyone else.
Are we the bad guys? https://www.youtube.com/watch?v=OpZ8EkK3eWY
As a Flutter developer, it obviously makes me uneasy.

I bet on Flutter around 5 years ago. I was fully aware of Google's history of killing its products, but I thought making iOS and Android apps with Flutter is just so easy and Dart is such an upgrade over JS/TS (in my experience at least, I know you should always bet on JS), that I'll just enjoy the ride while it lasts. I could even see Dart getting popular on the backend.

Since then, they started prioritizing more and more stuff I don't care about, important core members fled the project one way or another, the native solutions have caught up big time, and long standing issues never get fixed. Among cross platform apps, RN still dominates Flutter when it comes to apps that people actually use.

I find Dart still a great language, but apparently, I'm in a very small minority. Today, Dart's only practical purpose is to serve Flutter. I had to realize that a (non-Flutter) frontend web framework, or anything significant on the backend ain't gonna happen.