skysight-inc/HackerNews huggingface dataset:
Michael Foord Has Died
> - the human in the room is also important. LLMs are like pianos, we play prompts on the keyboard to them, and they play back language to us. The quality and originality of the output aren't solely inherent to the model, but are co-created in the dialogue with the prompter. It's not just about the instrument, but also the 'musician' playing it.

So you agree they aren't reasoning? Otherwise why would you need a human to do skillful prompting? Why can't the AI just solve it on its own?
This will get you very basic recommendations, which is a nice start. But will be quite limited.

But you could, and have been able do this just as easily with compression.

Compress A. Measure the file size.

Compress B. Measure the file size

Compress C. Measure the file size

Compress A + B. Measure the file size. Compare it to (the size of A + the size of B). If A and B are similar the compressed file size will be much smaller than the combined file size of A compressed + B compressed.

Compress A + C. Measure the size. If A and C are similar the compressed file size will be much smaller than the combined file size of A compressed + C compressed.

Compress B + C. Measure the size.

Also see Simon Willison work on using embeddings for similarities: https://simonwillison.net/2023/Oct/23/embeddings/#related-co...
I don't know Rust well, is this what's known as a query builder in Rust? That's weird to me, because in other typed languages that I know, query builders are typically typesafe and don't just concatenate strings (see e.g. jOOQ for the JVM).
> "Processes are the software analog of processors." Yes of course.

Maybe this analogy worked in 1986 when hardware was a lot less reliable, but I don't think it goes very far these days: processes die all the time (normal termination, crash, get killed). When was the last time a processor or core died on you? In fact, according to this analogy most of us are running MS-DOS equivalent of systems since if your processor or core dies, your machine dies. And I don't see this changing any time soon.
I've been a paid Claude user almost since they offered it. IMO it works perfectly well still - I think people are getting into trouble running extremely long conversations and blowing their usage limit (which is not very clearly explained). With Claude Desktop it's always good practice to summarize and restart the conversation often.
> some sort of lowest-common-denominator language

LLM's output the statistically most average sequence of tokens (there's no intelligence there, "artificial" or otherwise), so yeah, that's by design.
The SARS outbreak was from many zoonosis events of slightly different strains, over the course of months.

The standard zoonosis theory here predicts that multiple spillover events are likely, because there's a population of infected animals that is in close contact with humans.
The following is not a take that will get you a job or teach you precisely how LLMs work, because you can look that up yourself. However, it may inspire you and you may create something that has a better-than-lottery-ticket chance of being an improvement over the AI status quo:

Without reading about how it's done now, just think about how you think a neural network should function. It ostensibly has input, output, and something in the middle. Maybe its input is a 64x64 pixel handwritten character, and its output is a unicode number. In between the input pixels (a 64x64 array) and the output, are a bunch of neurons. Layers of neurons. That talk to each other and learn or un-learn (are rewarded or punished).

Build that. Build a cube where one side is a pixel grid and the other side delivers a number. Decide how the neurons influence each other and how they train their weights to deliver the result at the other end. However you think it should go. Just raw code it with arrays in whatever dimensions you want and make it work; you can do it in Javascript or BASIC. link them however you want. Don't worry about performance, because you can assume that whatever marginally works can be tested on a massive scale and show "impressive" results.
Headless X11 machines were a thing then it was all abandoned.
And human reasoning is somehow more magical? Really struggling to understand the distinction between searching through a latent space and “reasoning”.
Out of nowhere … Europe!
Jeez grow up. Her dad would be interested in her listening to his music, not the order of his collection, which he would be happy is now hers to keep.
Haven't you heard that the terminal is the most simple and efficient interface? Obviously everyone should just use terminals for their tasks /s
>These two theories get mixed up constantly, either by accident or on purpose, who knows.

You literally just reduced 3 theories to 2: lab leak natural virus, lab leak medical GoF, and lab leak bioweapon. These theories get collapsed because there's no practical way to distinguish between them. A 4th theory, intentional release, is often used as a weakman for all lab leak theories, but isn't actually a leak at all.

>So it didn’t occur “naturally” but also wasn’t developed or engineered. Makes no sense.

Yeah, someone wants to split hairs, but it's impossible without knowing the specific definitions they want.
Trino is pretty good (open source presto).

https://trino.io/
The WIV was doing research on bat coronaviruses at BSL-2, not BSL-4. See Ralph Baric's testimony covered in this Vanity Fair article:

https://www.vanityfair.com/news/story/ralph-baric-wuhan-lab-...
> The only difference LLMs have with the others is the learning curve

Half the post about AI are telling us how good prompts should make me a 10x engineer, or I made this app in 5 minutes and I don't know how to code. At least for JS and, god forbid, crypto, there was some effort required.
Yeah, let's give Larry Ellison control over TikTok. What could possibly go wrong?
It isn't that simple, the substrate is totally different. The brain is not a GPU, not by any stretch, even if it "runs something analogue to a LLM" inside.
ClickHouse has a solid Iceberg integration. It has an Iceberg table function[0] and Iceberg table engine[1] for interacting with Iceberg data stored in s3, gcs, azure, hadoop etc.

[0] https://clickhouse.com/docs/en/sql-reference/table-functions...

[1] https://clickhouse.com/docs/en/engines/table-engines/integra...
Indeed, so it could be some unidentified third place. There are few labs and many other possibilities for people to come into contact with animals, so that third place was probably not a lab.
At the time Mac Classic was relevant, PC still wasn't thar great in home computing, no one was bothering with this stuff in x86/PC.

We were still bothering with demoscene stuff in 8 bit home computers, and those of us busy with 16 bit home systems were focused on Atari and Amiga systems.

PC and x86 at home only took off, meany really taking off among demoscene and other home users, was when VGA and sound cards became part of a standard PC.
Instead of `setTimeout` use `requestAnimationFrame`

Check out the code of this Lissajous Curve Demo
https://ericfortis.github.io/lissajous/

This SO answer explains the difference:
https://stackoverflow.com/a/38709924/529725
at OP: another one posted the link to the tokens on githup two hours ago it's not part of the model but of the pre-processing
There is a project that helps the government identify locations in child sex abuse photos, I wonder if a project like this could help.
Only in name, given by people in machine learning. Really it’s more accurate to say they’re both networks, except one is a million times more complicated in its design.
Yes, you can create a writing-focused model through distillation, but it's tricky. *Complete removal* of math/coding abilities is challenging because language models' knowledge is interconnected - the logical thinking that helps solve equations also helps structure coherent stories.
I'd be happy to talk to you more about this. I manage a cloud team, oversee a sizeable budget, and have a lot of experience optimizing cloud spend (along with startup/unicorn/mega corp experience).

The play is, like what others have said, it's your expertise and providing consulting services to others struggling with cloud spend.

hn handle @gmail.com
> But… what if the writer just isn’t a native speaker of your language? Or is a math genius but weak with language? Or…

All of these could apply to those YouTube videos that have synthesized speech, but I'll bet most of us click away immediately when we find the video we opened is one of those.
Makes me wonder what a hypothetical “fall of Kyiv” would look like today.
I thought that was baseless speculation and the lab leak more likely explained it because it was in close proximity to the market.
That is very literally the opposite of what actually happened.

I don’t know where you are getting your information from but it’s absolutely incorrect.

It was Cheney specifically who was relying on Chalabi whom the CIA had repeatedly dismissed as a fabricator which is what was used as evidence.
> You would expect, as was the case with SARS, that we would then find the population of infected animals.

In the case of SARS, the animals were not culled for months. The entire SARS response was slow - the virus kept spreading in farmed animal populations and kept spilling over into humans.

With SARS-CoV-2, the Chinese government immediately ordered all the suspect animals to be culled. No test results for those animals have ever been released, if they were ever even conducted.

> the closest virus in a wild population was a bat coronavirus located 1000 miles away.

Guangzhou, where the original SARS emerged, is just as far away from the bat populations and Wuhan is.
True. The phrase

"when your only tool is a hammer every problem is a nail"

seems to apply to AI very neatly.
Maybe you’re like me. I love working on things but I don’t like working with other people. As such, there’s never going to be a way for me to love my job.
I think OP means now that the glitch tokens are known if one can use them in the second run for the next version to disturb it
I'm not sure censorship or lack of it matters for most use cases. Why would businesses using LLM to speed up their processes, or a programmer using it to write code care about how accurately it answers to political questions?
ITT: CCP shills.
> But I don't think R1 is terminal for them.

I hope not, as I we need more competition.
Intentionally seeking out potentially harmful natural pathogens from remote locations and placing them in close proximity to people isn't relevant to lab leaks? Then why are they studied under high levels of security in the first place?

GoF research is so obviously a bad idea. The risks are enormous and the rewards are minuscule. But lab leaks of natural viruses are indicative of problems too.
> this is just boomer talk, I am sorry but todays world is different to the one he grew up in. We face challenges that makes prioritizing 100% on family extremely hard.

The hallmark of (Gen Z and Millenial?) talk, if we are doing stereotypes, is victimhood.
It took me to the end of your comment to realise the crucial bit I was missing: that they're talking about implementing the CPU on an FPGA.

As opposed to, say, interfacing with an FPGA which could be totally different way to be "FPGA-friendly".
SimplecontainerManager
He had that already, why buy more stuff?

Also, buyers buy, hackers hack.
probably something as byte latent tokenization, or get rid of organization altogether as kaparthy suggested
Interesting article, but the flourish ending """AI will soon (if not already) increase in abilities at an exponential rate."""
is not at all substantiated. Would be nice to know how the author gets to that conclusion.
China was not a hostile country in 2014, before Russians started the war.
Nonsense. Some are facts that can be checked and the logic faked, others are trick questions or things can be run through Wolfram. The real test is an AI which can come up with unique questions itself which it actually understands the answers to. That's a long way off from any LLM.
Very cool!

This plane suspiciously looks like a bird though: https://i.imgur.com/cUdnZTN.png
Geopolitical Cyber Warfare
No, that's why you have such expectation mismatch. No one should take any significant pay cut over market rate. In that way they aren't losing anything monetary.
MDN Documentation: https://developer.mozilla.org/en-US/docs/Web/API/Window/requ...

Example: https://developer.mozilla.org/en-US/docs/Web/API/Canvas_API/...
Well, in the US you have millions of foreigners and blacks who live in utter poverty, and sustain the economy, just like the farmers in China.
Nit pick, it's not using a Pi camera, its using an old Nokia 5.4 phone as a camera.

Also, they're showing (and linking to) FlightRadar24's departure and destination data, it's quite clear they are on one of the approaches to Delhi International (DEL). I don't know how many runways DEL has, but there's no more than 4 possible lines planes take in approach and departure. If i cared enough I could easily work out which of those lines by checking FlightRadar for the history of one of the links, and match the timestamp with the FR tracklog.

Collection 100s of images any attempting to do geometry magic is unnecessarily complicating things. (Which is fine if your goal is to solve complicated problems for fun. But there is a much easier way.)
Except now you end up with folks who probably ran some analysis or submitted some code changes getting thousands of citations on Google Scholar for DeepSeek.
What do you mean?
I was referring to just the chain of thought you see when the "DeepThink (R1)" button is enabled.
As someone who LOVES learning (as many of you too), R1 chain of thought is an infinite candy store.
Throw in some LLM capable of interpreting surveillance camera data and it’s going to be hell on earth.
If even Wikipedia is too political then I've got a bad news for you...
>no similar reports

Covid detected in wastewater samples

December 2019 in Italy:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428442/

>November 2019 in Brazil:
https://www.medrxiv.org/content/10.1101/2020.06.26.20140731v...

They found covid in samples of the sewage system in SC state Brazil in November. 2 months before it came out of wuhan

https://www.cnnbrasil.com.br/saude/novo-coronavirus-ja-estav...

>March 2019 in Spain:
https://www.medrxiv.org/content/10.1101/2020.06.13.20129627v...

Brazil recorded its first COVID death April 15, 2019. Initially taken as a data entry error by some, data for 2019 is still published nearly six years after the fact.

https://transparencia.registrocivil.org.br/dados-covid-downl...
Tokenization is one of the reminders that we are far from reaching the optimal architecture, But something akin to the recent byte latent tokenization gives hope
I think you’re making the (well intentioned) mistake of assuming he is a conscientious business person who operates in good faith and attempts to be consistent in his positions. He just wants more influence and power and he isn’t concerned about what he needs to do or say to get it.
What are you doing for money now?
I've lost count of how many of the biggest problems in society can be directly traced back to great optimization decisions by MBAs. I think it's almost all of them.
> Do you know the exact nature of the research that was going on there?

We actually have a very good idea of what research was going on there. The groups in question publish their research, give talks at international conferences, upload the viruses they discover to US databases, talk with colleagues abroad, etc. We have a very good picture of what they were working on, and every indication is that they didn't have any virus closely related to SARS-CoV-2.

> Two spillovers at a lab that has one spillover does not seem that unlikely.

If that were the case, you'd see the outbreak centered on the lab. It wasn't. It was centered on the market, on the other side of town. So you have to start making implausible - and obviously motivated - assertions that two different lab workers went and infected people at the market, without infecting any of their colleagues or anyone else along the way.
Fully spot on, that is why using Tcl with lots of native extensions might have been a great solution in the late 90's dotcom wave, we quickly validated with our rewrite into .NET, still beta at the time, the huge difference that having a JIT in the box makes.

Hence why afterwards I never been a fan of any language for deployment production without AOT or JIT tooling on the reference implementation.
An antitrust lawyer concludes that there is a monopoly and writes a blog post about it. Maybe they're right, maybe not, but it is worth scrutiny.

Look for things that are off in the article. Yes, a number of trucks were out of service. Would all of them have been deployed if they weren't? At least some of the budget cuts were for open positions that the stations hadn't been able to fill. Other reports of denied overtime during the early stages of the fire indicate that, even if the trucks had been available, it wouldn't have affected the response to the degree the blog post tries to tug on the readers' emotions.

Another thing that stood out - market size of the three major players was listed for after the acquisition spree, but I didn't see the same numbers for before the acquisitions. Just how much of the market was actually shifted by this behavior?

Again, it is possible that the author is on to something, but the article uses half the story to get the audience to connect the dots on their own, repeatedly.
As you're demonstrating, it depends on the human.
I don't know how much can be inferred from that VS brinkmanship. The louder and longer you protest that you are happy to pack up and leave, the higher the price to get you to stay.
Great to see a story about the USS Midway. It is currently decommissioned and permanently docked in San Diego as a museum for the public. I've been there - on the very landing strip seen in the photos. Really humbled to have visited such a key part of US history.
If the work on coronaviruses that WIV was doing was at BSL-4, I'd be more skeptical of a lab leak origin. It was being done at BSL-2; see Ralph Baric's testimony covered in this Vanity Fair article:

https://www.vanityfair.com/news/story/ralph-baric-wuhan-lab-...
I'm surprised Valve didn't do exactly this, it makes too much sense. Just make a case for the motherboard.
The virus evolved in an AIDS patient.
Are you implying that quantum mechanics is not that important to medicine and material design?
Oh wow, TIL the HTML element for furigana is <ruby>
Yeah, that's in the second paragraph
The brain can invent formal language that enables unambiguously specifying an algorithm that when provided with a huge amount of input data can simulate the output of the brain itself.

Can these models do that?
> I hope Nintendo releases an ultra small switch.

No plans like that at the moment, the opposite is true though: “The Nintendo Switch 2 is an upcoming hybrid video game console developed by Nintendo. (…) The unit maintains a similar form factor as the Switch“[1]

[1]: https://en.m.wikipedia.org/wiki/Nintendo_Switch_2
Haha, I'm working on fixing that. One of my ideas is to run inference again on an image to check if it has any birds. If yes, reject the image.

It's a really cool time to be checking right now! All commercial flights are grounded in Delhi for Republic Day celebrations so I'm able to see images of Air Force planes!
The interviewers came up with a lot of brain dead rules that they (hopefully) don’t use on their code base.

I could ask you to show me how well and fast you can run while making up a rule that you can’t use your legs and then tell you that you can’t run fast enough to join my sprint team… but that would be idiotic on my part.
Cognitive Miser
Try Anthropic's Claude -- just as good, and free (thus far) of the sort of shenanigans one sees with "Open"AI
DuckDuckGo is my default search engine, but I do find myself using !g many a times because DDG isn’t good enough to beat Google at everything. I’ve heard good things about Kagi here, but its pricing is out of reach, considering multiple people need it in a household.
How do you know the CCP didn’t just help out with lots of compute and then tell the companies to lie about how much it cost to train the model?

Reagan did the same with Star Wars, in order to throw the USSR into exactly the same kind of competition hysteria and try to bankrupt it. And USA today is very much in debt as it is… seems like a similar move:

https://www.nytimes.com/1993/08/18/us/lies-and-rigged-star-w...
> saying apple is dead because back in 1987 there was a cheaper and faster PC offshore

What Apple did was build a luxury brand and I don't see that happening with LLMs. When it comes to luxury, you really can't compete with price.
> Once a machine is infected, the XWorm malware checks the Windows Registry for signs it is running on a virtualized environment and stops if the results are positive.

Many (if not all) malwares do this now. Does this mean you don't need an antivirus when you run windows on a vm because any malware that happen to infect it would kill themselves when they noticed they're running inside a vm?
Tangentially the model seems to be trained in an unprofessional mode, using many filler words like 'okay' 'hmm' maybe it's done to sound cute or approachable but I find it highly annoying

or is this how the model learns to talk through reinforcement learning and they didn't fix it with supervised reinforcement learning
> That being said, my argument was a statement about a general fact that is very true.

Is this a general fact that is very true? It sounds like you are judging rather than stating a fact.

> It's really embarrassing the stubborn stance people were taking that LLMs weren't intelligent and wouldn't make any progress towards agi. I sometimes wonder how people live with themselves when they realize their wrong outlook on things is just as canned and biased as the hallucinations of LLMs themselves.
> Claude new my name

It's comforting to see that this text was not generated by ChatGPT ;)
Kind of, the real reason is that C with Classes was Bjarne Stroustoup's "Typescript for C", he wasn't going to use C bare bones after his Simula to BCPL downgrade experience.

However to be able to do that, C with Classes abstractions needed to perform just as well as writing raw C.
I'm afraid it's not so clear. There are different perspectives on this.

For one, apart from humans, some animals, and now LLMs, there are but few entities that are able to apply reasoning. It may well be that reason is something that exists universally, but empirically this sounds a bit unlikely.
Could you get the speed and location of the plane and estimate how far it should move across two images to determine if its the right target?
What this means is that OpenAI can serve even cheaper models in a month using this technique for their updated models
> what if the writer just isn’t a native speaker of your language [...] evaluate based on content

Evaluate as in "monetize" everything and that's how we ended up in this commercialized internet. The old web was about diversity and meeting new people all over the world. I don't care about grammar mistakes, it makes us human.
The problem with ski holidays is all the other people are unbearable
> Why care whether something is AI slop or human slop? It’s not worth reading in either case.

The problem is human slop is typically easy to detect by grammar and other clues.

AI slop is often confidently incorrect.
Just to corroborate as a native English speaker, yes, in my experience the "the" would only be left off in quite informal registers or in haste.