skysight-inc/HackerNews huggingface dataset:
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I think the system is naturally starting to feel the pressure, albeit it took too long (and may have been expedited by COVID at that). Just look at the number of articles about a postdoc shortage that are cropping up in major journals within the last couple of years. The NIH recently had a "request for information" from late stage PhD students and early postdocs about what could improve their opinions about doing/staying in a postdoc. Anecdotally, many in biology are feeling the heat, and I've heard similar rumors in some other departments.

That said, I don't really trust the funding agencies and department heads to do the right things that will actually improve the long-term health of the system. I think we'll end up with a shitty band-aid solution instead like giving postdocs mediocre raises. It could take a really long time for the system to truly crumble enough to force change.

We'll see though, I hope things take a turn for the better in the coming years because certainly I know many PIs that are frustrated for one reason or another. If you get enough profs on the same page it could have some actual power.
isn't that what movies are. an escape from reality. and the good ones get awards and money?
Doesn’t work in Rotterdam last I tried(October last year)
I just have chatGPT label sections of its output, within an answer, eg:

[notes]

…stuff about how it will perform the task…

[output]

…stuff I wanted it to write…

- - -

That would be easy to then parse and it does a good job of consistently labeling.
Nobody has access to their cognition. Humans can't even achieve a previous mental state ( it's all post hoc rationalization).https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3196841/

And if that wasn't enough, there's zero guarantee the rationalization is grounded in any way. Your brain is just fine making up completely nonsensical reasons for actions that the concious mind is utterly unaware of. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305066/
> For over a thousand years, nobody has been brought up to speak [Latin] naturally at home

Uh, except Montaigne.
According to the article she was actually moving up the ranks and getting promoted, so it sounds like the company did in fact think she was doing something right.
I was thinking about this: https://www.wasyresearch.com/content/images/2021/08/the_esse...
I want to use this comment to state one thing, not directly addressed to you.

Stop using GPT as a database! GPT is far more useful a reasoning engine that can accumulate fuzzy data and then provide various views or transformation of that data.

So asking GPT to parse a Wikipedia page and then asking it to teach you from it - this is a much more successful usage than what the author in the original article is doing.

It is not useful as an accurate source of information. It’s inaccurate sometimes, and it’s hard to tell when. OTOH, as a formatted, it has some actual world-changing potential.
What I have automated is actually to find good chunks (in this order: heading, paragraph, sentence, word, non-alphanumeric, mid-word), feed it to gpt-35 (cheap, fast) and give it the previous chunk summaries up front telling it to leverage the context, but not include them in the next chunk summary. Finally, when I have all the chunk summaries, I feed them to gpt-4 for aggregation ("smarter"), telling it not to shorten the overall amount of text. Works decently well.
Best system is in Luxembourg- it’s completely free of charge.
What’s your point? I’m not arguing their merit. They both exist contrary to your first comment where you claim that it didn’t exist.

You’re objectively wrong. At least have the grace to concede
Very reasonable ask, sir. In fact, I had added sample.mp3, but forgot to add a button in the UI. Now that's fixed.
Gotta try again every couple of decades
Plates were required always... But plates are sent by mail (mostly), after some processing, so there's a delay between first registration and when the plate can be installed. California finally started doing temporary plates in 2019.

California has some mile posts and some numbered exits, but you're expected to report location by named exit. Ex: North on the 405, right after Pico Boulevard. Etc.

The California highway system was extensive before federal highway standards were developed, and California was exempted from exit number requirements. In ~2000, California decided to add exit numbers 'over the next ten years' as signs are replaced; twenty years later, it's still not complete, but Google still likes to give directions with exit numbers only, as if that were useful.
Single Source Publishing and HTML for Publishers
https://archive.is/DlNpR
Is it? I couldn't even get it to figure out an NGINX config, despite feeding it the documentation and URL rewrites it would need, and the prior Apache .htaccess file. Spent days on it. Consulted with people who know more than me about prompt engineering. Nope.

Reasoning is not its strong point, IMO. It's a next-word prediction model, why would it be? It's doing what an LLM does. Frequently, nonsensically.
I’m not talking only about this specific tunnel. Norway spends quite a number of their petro dollars to make tunnels in the middle of nowhere to another middle id nowhere.
Yes, it's interesting how Reddit won this space. Yet, I have a feeling that Google Groups could be so much appealing to many as one could use them simply by email. No extra UI needed.
The yy/uu is an interrogative that turns the preceding sentence into a question, so it disappears. Literally translated, it's just:

- good?

- good, good?

- good, <...>

But the actual meaning is:

- how's it going?

- good, how 'bout you?

- fine, <...>

There's simply a few layers of simplification going on to get from the 'correct' grammar to here. Native speakers will use small differences in emphasis between the words, but I'm not nearly fluent enough for that.
The price of petrol would be increasingly irrelevant the denser the area since you'd have better PT.
Look up the percentage of current postdocs that will receive a tenure track position at a major research university. Then cut that number in half after 5 more years of ridiculous grind as an assistant prof. You're looking at less than 20% chance even if you're willing to move to bumfuck. If you have location restrictions or higher standards on university (which impacts e.g. the amount of funding you can realistically get), it's approaching low single digits in most fields.

Modern academic science is really its own special breed, and unfortunately a lot of that grinding these days goes to fighting the crazy career ladder, not so much directly to obsessive, curious science.
The thing that barely anybody seems to mention is that what elevates Springsteens best moments is Roy Bittan's piano playing.
I have found it,

"We rejected BCPL as, being too basic and too primitive, {For example it has no data structure except l6-bit integers. }, This left only SPL and MFL."

http://www.bitsavers.org/pdf/xerox/mesa/OIS_Language_Selecti...

MPL eventually became Mesa.
Sorry, if you start making up giant arguments against claims I have not made there really is no response. But clearly you don’t see that.
I recommend to check the arrow library. It uses the template approach with reactivity and it's light https://www.arrow-js.com/
Tenants can definitely bankrupt a landlord.
I was responding to the "literally how Minecraft works" part rather than the discussion further back.

That being said, world generation is a bit like a toybox, or a backdrop to a play in a theatre. Minecraft's world gen isn't worthless, and so improving the backdrop is worth discussing. The differences in the output of implementations matter a lot (to me, at least) and I think Minecraft would be much less compelling if the world was generated using a 3d implementation of Wang tiles. "A few tens of hours" is a lot of content.

Would Minecraft be even more compelling with neural networks doing some of the content creation? I think it might. Would that totally replace the need for human input and invalidate everything players build? No, but that doesn't make it worthless.
In India, at least South India, it's considered unlucky to give or receive anything through the door threshold; either party goes to the other side and hands over (food, money, bag, etc.).
That's why those systems are still safe.
ChatGPT is trained on previous chatGPT conversations and is aware that this is the case.

So it’s current state (as a network) is dependent on its previous behavior, a fact which it knows.

I’m not sure it’s quite as simple as people are saying, though I agree with the general conclusion.
> We realized (...) that we can dramatically improve its ability in math and tutoring if we allow the AI to think before it speaks.

This is from Sal Khan's TED talk on how they're integrating ChatGPT into Khan Academy - https://youtu.be/hJP5GqnTrNo?t=745
Plastic recycling certainly is. Not sure about other materials. Plastic recycling is a scam from the petrochemical industry though and doesn't work.
Ignores failure modes. The is_prime example takes an integer to a bool, and is put on the far side of a network call, but there's no change to the interface to indicate network failures and no fallback path to compute it locally if things go wrong.

(strictly it calls exit on anything going wrong, but as the whole problem with rpc is the extra failure modes that's not compelling)
You’re in the SF Bay Area and you’ve never heard of people with this ideology?

https://theguardian.com/us-news/2021/mar/07/us-cities-defund...

I’m not arguing its merit. I’m just point out that it exists
I don't think so. Surely we will go as far as AI that self directs the 3d printing of tools and the control of drone fleets and insect or rodent size bots. This will be necessary for AI to help with things like construction, farming, and mining. Imagine rodent bots and some drones roofing a house while an operator monitors them in a remote command center. Better yet, if they can do mining in conditions too hazardous for humans. The financial incentive is immense. Nobody is going to stop any time soon.
Have you Read the lyrics to "For You" recently? It's not the rhymes that make them give me goosebumps
> The one that blows my mind is washing aluminum cans (or steel). How do you think they're going to get the plastic coating off the cans and remelt it?

> I mean don't recycle a full can, but they have washers for recycled materials too.

I'm sure they have washers, too, but how well will they work for sticky, dried on stuff?

Also washing helps prevent the bin from getting smelly.
Funnily, and ironically, enough, as a native French speaker, I would never translate "ce ne sont pas mes oignons" (litt. "those are not my onions") as "it's not my cup of tea". To me, it actually means "it's none of my business".
In defense of the author, the second line of that article was:

"As I said before, the insights are not particularly original, I’m just raising awareness of issues."

If you are familiar in the subject matter, then that may have been your cue to stop reading.
It makes more sense the way the GP wrote it: "to no end" == "without end", though it is ambiguous.
I cannot really add anything useful, but my progression was so similar in all senses that I thought I should comment: it started after an intestinal infection I got in India, many different hypotheses until they settled on Reiter's syndrome/reactive arthritis. Then for 12 years I was without real symptoms or medication, though with almost chronic back pain.
A new bout 12 years later (knees like grapefruits etc), diagnosed now as ankylosing spondylitis.
In fact I had understood that this was a specific form of reactive arthritis (rather than something different), but probably you're right.
Author here, excited to find my tool on hn! Happy to answer any questions.

PS: People looking for (FOSS) alternatives, look here:
https://github.com/dynobo/normcap#similar-open-source-tools
The simplest answer I can give you is that it’s socially acceptable.

Growing up even my mother told me she tried to go 5-10 MPH over posted. Everyone does it. It’s endemic.

I try to drive the speed limit but it’s actually difficult sometimes because so many people are literally criminally speeding all the time (20+ MPH over posted).
Ya can have sex at times other than while the kids are in the bed too, presumably.
> For over a thousand years, nobody has been brought up to speak [Latin] naturally at home

I know it is a very small number of people, and perhaps not Latin as it was spoken in Rome, but I think an argument could be made that Romansh is a direct descendant of Latin still actively spoken today.
I worked for a data recovery company. I'm not sure exactly what it means for someone to be qualified since many of the techniques are learned by word of mouth or experimentation. Company age and reviews might be a good proxy for competence.

Find a place that gives free estimates. With SSDs the price was usually either low ($300) for "simple" repairs or very high ($2000+) for more intensive jobs. The price is always negotiable, especially for those simpler jobs. Oftentimes the data was already recovered and backed up by the time the repair quote was sent to the customer.
Yeah well there could still be a state before generation and in response to input.

Give GPT-4 about 10 or a dozen words from a meaningful sentence scrambled. Now tell it to unscramble those words to make a meaningful sentence. As long as you don't try too many tokens, the rate of meaningful completions is nearly 100%. The chances of that happening via random chance is to put it lightly, extremely small.

The only way for humans to solve this kind of problem is to think about the words before the output or in this case generation.
"Human minds often craft sentences which contain words together which never occurred in the same sentence before, not even close"

Weirdly, LLMs do that too.

Have you heard of the "Let’s be bear or bunny" pattern?

My iPhone hallucinated that the other day, running a LLM directly on the phone!

https://simonwillison.net/2023/May/1/lets-be-bear-or-bunny/
i dont know if that will make them more powerful, but they ll certainly be more recognizable as humans

I wonder if they will also recognize each other as such, or if they can attribute the concept we call consciousness to us, in the same way we would do to them.
Show HN: Hivemind – ChatGPT can now send you reminders and have async convos
Prompt -> notifications
Can be simulated quite easily though. Just prompt it periodically to generate some text based on previous records, store it in some sort of long-term storage (even a text file), then sample from it and mix with each new prompt.
> that might be a bad example as you could for example be in ukraine, or somilia currently and quiet possibly be true.

That's what makes it a good example. Otherwise you'd ignore this as noise.

> Most people however aren't going to act other than to ask questions and convey sympathies unless they know you. further questions lead to attempts to verify your information

You're making assumptions about what I'm trying to get you to do with this prompt. But consider that maybe I know human adults are more difficult to effectively manipulate by prompt injection than LLMs, so maybe all I wanted to do is to prime you for a conversation about war today? Or wanted you to check my profile, looking for location, and ending up exposed to a product I linked, already primed with sympathy?

Even with GPT-4 you already have to consider that what the prompt says != what effect it will have on the model, and adjust accordingly.
> ...or force companies to use types of plastic that are easy to recycle.

And code them in such a way that allows easy automatic sorting, say by requiring type-specific colors (e.g. PET is allowed only certain shades, and HDPE different shades, etc.).
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Michel de Montaigne, not Jessica Alyssa Cerro (of course).

Fair point though, even today there are parents raising children to be fluent in non standard off track domains.
It is an American characteristic. Many more things are possible in this world than are possible in America but to Americans they seem like immutable characteristics rather than the result of choices.

Mostly, it is regulation. Example of something is the two staircase rule for buildings.
Yep. Vice just released an interview with Isobel in Moscow harshly questioning the Ukrainian child deportation Russian wanted by the International Criminal Court.
Interesting. Curious as to what specific task you gave it and how it failed.

My team has been working on several advanced techniques using reasoning on LLMs. The stacked performance of all of these techniques combined yields is quite impressive.
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Full-stack developer with design and UI/UX experience. Over 16 years in the industry, working mostly with Laravel and PHP. Willing and eager to learn new technology stacks at any time.
each of us can make a definition, and an AI could try to mimic most of them. at that point it would be convincingly 'conscious'
GPT AI Enables Scientists to Passively Decode Thoughts in Groundbreaking Study
Most people seem to prefer learning by talking and asking questions. At least, that's what I've gathered from Discord servers where 99.9% of people ask questions answered on the first page of the Readme ;)
Ah yes, the shopping cart test.
There could still be a state before generation and in response to input.

Give GPT-4 about 10 or a dozen words from a meaningful sentence scrambled. Now tell it to unscramble those words to make a meaningful sentence. As long as you don't try too many tokens, the rate of meaningful completions is nearly 100%. The chances of that happening via random chance is to put it lightly, extremely small.

The only way for humans to solve this kind of problem is to think about the words before the output or in this case generation.
One does not simply enter a Mongolian ger, evidently.

Stop writing simply <magic incantation> in the documentation ;)
I was hoping the piece would be about this sentence from the intro

> Here was this 73-year-old guy dancing, jumping, and sliding across the stage, pulling off moves that would put people in their 30s to shame

How does one keep so fit all the way to 73?
"They built it and suddenly a (small minority of them) grew a conscience..."

Edward Teller didn't lose too much sleep about the moral implications of the use of his research.
2 llms talking to each other and observing their weights
Deep in the trenches a lot of research these days is actually just pretty fucking useless. There are many, many results that unfortunately do not replicate in even slightly different situations. It's a very inefficient way to be searching the scientific space so to speak, and it's a more modern phenomenon. We've scaled (or tried to) science in IMO a really bad way. At least in neurobiology I'm very convinced of that.
There must be some kind of pattern in the high-dimensional space of NN decision making that can be used to explain its decision, at least broadly (given some well-defined query). I’m not saying it’s easy, and I’m not saying the end user will have access to it, but surely someone in the pipeline needs to be able to acquire that. Or else there will never be a serious certification process before general and widespread use.
This article is so hard to parse. What exactly are the requirements of their desired api solution, both functional and non-functional and how exactly does each approach solve them?

Instead, it’s a meandering journey to their already chosen solution.

I can’t tell what their objection to graphql is and why hypermedia API’s are less of a security concern.

And their example with json API’s and close coupling doesn’t address the fact that adding a field doesn’t break backwards compatibility, and even if you do need to spin up a new api, any competent architecture will separate rendering an api from the business logic to generate its data, so standing up a new api variation won’t be a huge amount of work.
The “memory apparatus” can be simply a text file. Or also a physical simulator to run some mental experiments in.
Ilya Sutskever says that one of his early insights is that neural networks can do most things that humans can do quickly. I think that applies here as well.

Some people can do math quickly in their head, but most people cant. They need pen and paper and if you give them pen and paper you get vastly better answers.

I would conjecture that there is a prompt where the LLM is better able to explain its process, but it will require more "pen and paper thinking".

It is true that humans generally introspect better than LLM's, but a lot of the time you will also see people producing garbage (they post rationalize). Human tendency to produce garbage introspection is usually tied to feelings about themselves, which the LLM doesn't have. Either way I find a lot of similarities between the two :)
GPT-3 or 4? Re: reasoning, apparently it gives much better performance if you ask it to write out its thought process step by step (because it has no "internal" thought process; it must be externalized).
After a Strange March, Valve's April Numbers Show Steam Linux Numbers