skysight-inc/HackerNews huggingface dataset:
My experience (almost exclusively Claude), has just been so different that I don't know what to say. Some of the examples are the kinds of things I explicitly wouldn't expect LLMs to be particularly good at so I wouldn't use them for, and others, she says that it just doesn't work for her, and that experience is just so different than mine that I don't know how to respond.

I think that there are two kinds of people who use AI: people who are looking for the ways in which AIs fail (of which there are still many) and people who are looking for the ways in which AIs succeed (of which there are also many).

A lot of what I do is relatively simple one off scripting. Code that doesn't need to deal with edge cases, won't be widely deployed, and whose outputs are very quickly and easily verifiable.

LLMs are almost perfect for this. It's generally faster than me looking up syntax/documentation, when it's wrong it's easy to tell and correct.

Look for the ways that AI works, and it can be a powerful tool. Try and figure out where it still fails, and you will see nothing but hype and hot air.
Not every use case is like this, but there are many.

-edit- Also, when she says "none of my students has ever invented references that just don't exist"...all I can say is "press X to doubt"
My experience is starkly different. Today I used LLMs to:

1. Write python code for a new type of loss function I was considering

2. Perform lots of annoying CSV munging ("split this CSV into 4 equal parts", "convert paths in this column into absolute paths", "combine these and then split into 4 distinct subsets based on this field.." - they're great for that)

3. Expedite some basic shell operations like "generate softlinks for 100 randomly selected files in this directory"

4. Generate some summary plots of the data in the files I was working with

5. Not to mention extensive use in Cursor & GH Copilot

The tool (Claude 3.7 mostly, integrated with my shell so it can execute shell commands and run python locally) worked great in all cases. Yes I could've done most of it myself, but I personally hate CSV munging and bulk file manipulations and its super nice to delegate that stuff to an LLM agent

edit: formatting
Yes, it’s region specific. In the USA sales generally go through a partner. But it is a fraction of the weight, depth, and cost of the large coelux units that run $40k plus install. We also realized there is a need for producing just the sky with great photo metrics and that is even thinner and less expensive. A lot of interesting reading can be found in our interactive spec sheet here:
https://www.innerscene.com/products/circadian-sky/CircadianS...
> You cannot release this life saving technology because it has a 'disparate impact' on group B relative to group A

I think the point is you need to let group B know this tech works less well on them.
It kinda doesn't matter where you start counting. Exponential curves put almost everything at the end. Adding to the left side doesn't change it much.

You could go back to Lucy and add only a few million. Compared to the billions at this specific instant, it just doesn't make a difference.
Maybe the world has just moved on and standards from the past just aren't as valuable now as they once were?

Boeing being better now than in the 90s doesn't mean that the stock shouldn't drop, because competitors and expectations are higher now than in the 90s.
I mean I have access to SEM with EDX [1] and I can (poorly) crack open chips [2], 'just' need to get some LN to run the EDX... I just can't believe this isn't something that another lab has already done and published!

[1] - https://wiki.fa-fo.de/equipment:zeiss-dsm-962 ; it's still not 100% restored

[2] - Here's what I believe to be metal1 on a RP2350: https://object.ceph-eu.hswaw.net/q3k-personal/c98c23b8db73df...
If every user of free software donated for all the free software they use, people's monthly donation bill for their "free" software would be hundreds of dollars or more.
Ah I see what you’re saying. That makes sense.

I am not a lawyer but many years ago I read about the following doctrine.

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

Basically prior to the American Civil War the Bill of Rights was considered to only apply to the Federal government and not the state governments.

After the Civil War, the US Supreme Court interpreted the 14th amendment such that overtime all the amendments of the Bill of Rights were considered to apply to the states as well.

So what you are saying about one system being dominant over the other system (Federal government being dominant over the state governments) makes sense and it is something that seems to have happened more extensively after the Civil War.
I prefer interviews that determine what a candidate can do. The best so far was to hand them a laptop with a work ticket and some IDEs pointing to code that needed fixing.
Monkeying some algos allows devs who can go leetcode algos and are crap at everything else. I've seen their work after hiring.
Well, I burst out laughing when I jumped on the transformer lily pad. I assumed there was a trick, but not that.

Quite cute diversion.
Well. At this point it's much easier to make vectorized code go faster. There is absolutely positively no low-hanging fruit left executing single-threaded, branchy code. A few percent improvement take a huge effort. It's not that they don't want... it's just really difficult and hits diminishing returns.
> Use the laptop microphone as the input instead, or if no microphone is present just buy an external microphone

You'd be surprised at how many companies/etc issue laptops that don't handle background noise for anything, even the fan on the laptop itself.

That said I've been using one or two variants of a gaming headset with dedicated receiver for the last 5-ish years. (Before that I used Logitech H800s with the dedicated receiver, alas the earpieces disintegrated after a decade or so.) Better audio quality and at the time were only 100$ on sale.

Especially if you are in an open office or pit style setting, bluetooth just has too many issues to be reliable/good for wireless audio.
In my experience MacBook Pro mic is incredibly good, miles ahead of any (expensive) headset I've tried. Do you have a different experience?
is it even possible to prove the stability of a controller with a DNN motion model?
Yeah, there's a disturbing trend of products advertising a "lifetime warranty", only the fine print says that the "lifetime" in question is the "lifetime of the product", which is whatever the manufacturer says it is (usually no better than the competition).
Oh that's cool - I had no idea it was used in UK schools, thanks for sharing this!
> You're using them wrong. Everyone is though I can't fault you specifically.

If everyone is using them wrong, I would argue that says something more about them than the users. Chat-based interfaces are the thing that kicked LLMs into the mainstream consciousness and started the cycle/trajectory we’re on now. If this is the wrong use case, everything the author said is still true.

There are still applications made better by LLMs, but they are a far cry from AGI/ASI in terms of being all-knowing problem solvers that don’t make mistakes. Language tasks like transcription and translation are valuable, but by no stretch do they account for the billions of dollars of spend on these platforms, I would argue.
I use hckrnews.com which shows flagged by default.
domains don't matter that much but that missing `i` will trip up a lot of people.
Have you considered taking neutrino supplements?

The nice thing about them is that they're flavour changing
Forgotten Plague: Encephalitis Lethargica and the Mystery That Haunts Medicine
Is it not too distracting for a job interview?
They did something similar in Vancouver, BC. To me it just seemed like everyone's been leaving the city and saying "We literally can not afford to own a place here" and politicians heard "You want us to manufacture more landlords and pull up the ladder even further!? Ok, we'll try".

Yes in my backyard shouldn't mean literally yes, you can live in my actual physical backyard, more than there shouldn't be undue restrictions on building more densely nearby
Within EU, you have free movement of goods, and the VAT is generally paid in the country of sale, not in the country of of the consumer. There are a few exceptions to this, and other regions might have other trade agreements.

Within the EU definition, VAT taxes the company making the sale for the increase in value of a product through the processes the companies and distributors applied to it, and is not a taxation of the receipt of said value.

There is nothing illegitimate about then consuming the product in a different country. It just doesn't happen to send money to your own country's treasury.
Hah! Makes me feel better about struggling with level 3.
"If I cheat I can get high score" does not mean the king has no clothes.
I find this generally a narrative that is easy to buy into but I wonder how many will actually make the jump. I’m unsure about salaries in Canada but I’ve heard some American academics talking about moving to Europe to find academic jobs there.

i think the salary would kill the idea for most americans who would want to move. according to this chart:

https://oira.unc.edu/wp-content/uploads/sites/297/2024/05/Fa...

the average assistant professor makes around 100k usd a year.

the salary range in Norway which typically has some of the highest salaries in Europe for university of Oslo assistant professor would be around rank 73-75 (you are not typically eligible to be hired above 78 and in practice above 75) on this chart which is around 69-70k usd:

https://www.uio.no/english/for-employees/employment/payments...

Norway has some of the highest salaries in europe outside of switzerland (although its debatable since cost of living in switzerland is so high). how many people would be willing to take a 25-30% salary reduction to move across the world? and that is the minimum salary decrease as the percentage only increases when you go to other countries where salaries are lower.

Not to mention they will need to learn a new language to be a professor since they need to teach. And also the academic system is different in that most places have more hierarchy than USA whether it is implicit or explicit. So they have to learn to navigate that too.

I think people will find Canada a much more attractive target destination than elsewhere for these reasons. But I also think most won’t actually move they will just discuss it. Happy to be wrong though.
This isn't quite true, although it's commonly said.

For steam engines, the first commercial ones came after and were based on scientific advancements that made them possible. One built in 1679 was made by an associate of Boyle, who discovered Boyle's law. These early steam engines co-evolved with thermodynamics. The engines improved and hit a barrier, at which point Carnot did his famous work.

This is putting aside steam engines that are mostly curiosities like ones built in the ancient world.

See, for example

- https://en.wikipedia.org/wiki/Thermodynamics#History

- https://en.wikipedia.org/wiki/Steam_engine#History
Show HN: I built an open-source benchmark that evaluates LLMs through gameplay
I built an open-source framework that evaluates LLM models using competitive gameplay. So far we have 3 games - a debate contest where LLMs try to persuade each other of different positions, a poetry slam where they judge each others' creativity, and a simple strategy game of cooperation and defection based on the prisoner's dilemma. The idea is that by pitting models against one another and evaluating their relative strengths we can scale the benchmark with model capability improvements.

Some interesting results have emerged.

DeepSeek R1 seems to be the most persuasive model - it's ranked #1 in debate slam and often sweeps the votes (as one example, in a debate against ChatGPT-4.5 it convinced all of the judges both for and against genetic engineering). DeepSeek R1 is also the current poetry slam champion, by quite a lot. Its poems are also often unanimous favorites. I'm not sure if this constitutes "creativity" per se or more like a different flavor of persuasion, but either way it seems impressive. I've read some of its poems and find them to be beautiful.

Grok-2, meanwhile, is the current champion in prisoner's dilemma. It seems to be able to find the optimal time to defect in order to optimize its score (it is the first defector in 90% of its games).

This is, to my knowledge, the only open-source benchmark of its kind. I think the open part is important, because it means the methodology and results are verifiable and reproducible. It also means (I hope) that others can jump in to contribute, either by adding new games, coming up with new ways to analyze and visualize the results, or by providing feedback. This has a lot of room to grow.

I'm open to any and all critiques and feedback. And if you'd like to contribute please visit the project on github: https://github.com/jmogielnicki/llmshowdown

Cheers,
John
A thug may kill you and it won’t matter much what illness you’ll get at old age.
those crawlers and models are a scourge on the internet
Glad you enjoyed the mind-bend
To begin with, airplanes do fall out of they sky, sometimes right on your backup generator. (speaking from military experience where yes, there is an entire backup studio waiting to take over, just in case. Or rather, the 'studio' is geographically dispersed, with 100% redundancy, which is another way of saying the same thing.)

But more importantly, *this* is what you noticed from that article?
Thanks, I just added support for relative URLs, try again. Your OpenAPI spec defines a relative base URL for the server /metatx but no domain. You can now specify the full base URL in your MCP client's environment variables:

`OPEN_MCP_BASE_URL="https://engineapi.moonstream.to/metatx"`
Let's say you successfully opened a file, but it was on removable media which got ejected mid-read.
> the reasoning "classical music is important because it is written" is backwards.

This is of course silly; there are important traditions of broadly non-literate music, and modern popular music (with its huge variety of "genres", including metal, EDM etc.) clearly qualifies. I have only argued here that classical music being written makes it special/unusual, in a way that's legitimately compelling to some. (Including academic elites, and people looking for stuff to train an AI on.)

Do note that classical music being "written down" is not something that has happened "after the fact": the written form is how the pieces are published to begin with! (There's an interesting contrast here with 'folk' tunes, that spread orally in many subtle variants and are only written down afterwards.) Now, it is also true that performance practice can add a lot, historically; you don't have to reproduce strictly what's written. But the abstract "blueprint" to what you're performing is given by the written piece.

> I have no doubt that just like millions of humans, multi-modal AIs will be able to use the vast library of recorded music

Training an AI on recorded music is really really hard. They have to learn about how the acoustics of every single instrument works and this overwhelms the information that we actually care about, of how a piece of music goes. The difference there is absolutely clear, and quite massive.
Your understanding is quite limited in that case. There are strikingly few people in the uk who can provide a shred of legitimacy to the governments AI plans. It’s precisely because of his “interests” that he knows what he’s talking about.
Links at the bottom of the site to X/LinkedIn/Contact Email/Github are all broken.
That is not a useful explanation. "Applying extrapolation to its lossily compressed representation" is pretty much the definition of understanding something. The details and interpretation of the representation are what is interesting and unknown.
I get SSL_ERROR_RX_RECORD_TOO_LONG when trying to visit this site.
Your example is a popular trope in the Balkans about how Balkan people behave when they go to work in Germany vs how they behave when they come back home in the Balkans.

Incentives are everything in a civilized society and anyone who cannot wrap their mind around this is most likely privileged.
People who don't work in tech have no idea how hard it is to do certain things at scale. Skilled tech people are severely underappreciated.

From a sub-tweet:

>> no LLM should ever output a url that gives a 404 error. How hard can it be?

As a developer, I'm just imagining a server having to call up all the URLs to check that they still exist (and the extra costs/latency incurred there)... And if any URLs are missing, getting the AI to re-generate a different variant of the response, until you find one which does not contain the missing links.

And no, you can't do it from the client side either... It would just be confusing if you removed invalid URLs from the middle of the AI's sentence without re-generating the sentence.

You almost need to get the LLM to engineer/pre-process its own prompts in a way which guesses what the user is thinking in order to produce great responses...

Worse than that though... A fundamental problem of 'prompt engineering' is that people (especially non-tech people) often don't actually fully understand what they're asking. Contradictions in requirements are extremely common. When building software especially, people often have a vague idea of what they want... They strongly believe that they have a perfectly clear idea but once you scope out the feature in detail, mapping out complex UX interactions, they start to see all these necessary tradeoffs and limitations rise to the surface and suddenly they realize that they were asking for something they don't want.

It's hard to understand your own needs precisely; even harder to communicate them.
Nerves do regrow, but not from the spinal cord as I understand it, and just because they regrow does not mean they regrow along the path which is needed to repair function.

My father broke his Bricial Plexis (the nerves running through your shoulder to your arm). There was an 18 hour surgery to re-trace the path for the nerves to grow. Some nerves made a connection, and he has minimal movement in his fingers. However, most of his arm is still paralyzed.
Nonsense, they're pretty much standard for new buildings, too.
Jeez I guess what we do is industry standard best practice, and it sucks.
One point that is very rarely mentioned is how to place em dashes around quotations marks.

If the em dash indicates an interruption (not a planned pause) of the actual speech, the em dashes go inside the quotes (often just one, before the closing quote).

If the em dash is the narrator interjecting with additional information, the em dashes go outside the quotes.

Besides this, the question of where to put spaces when multiple forms of punctuation are combined can be quite a complex topic.
The point is that given the current valuations, being good at a bunch of narrow use cases is just not good enough. It needs to be able to replace humans in every role where the primary output is text or speech to meet expectations.
If you really want to make an argument from popularity, C, C++, C#, and Java are all more popular than Go.
I wrote an AI assistant which generates working spreadsheets with formulas and working presentations with neatly laid out elements and styles. It's a huge productivity gain relative to starting from a blank page.

I think LLMs work best when they are used as a "creative" tool. They're good for the brainstorming part of a task, not for the finishing touches.

They are too unreliable to be put in front of your users. People don't want to talk to unpredictable chatbots. Yes, they can be useful in customer service chats because you can put them on rails and map natural language to predetermined actions. But generally speaking I think LLMs are most effective when used _by_ someone who's piloting them instead of wrapped in a service offered _to_ someone.

I do think we've squeezed 90%+ of what we could from current models. Throwing more dollars of compute at training or inference won't make much difference. The next "GPT moment" will come from some sufficiently novel approach.
I read it as snuggly until I realised what it was supposed to represent
Because it’s not a scientific research tool, it’s a most likely next text generator. It doesn’t keep a database of ingested information with source URLs. There are plenty of scientific research tools but something that just outputs text based on your input is no good for it.

I’m sure that in the future there will be a really good search tool that utilises an LLM but for now a plain model just isn’t designed for that. There are a ton of other uses for them, so I don’t think that we should discount them entirely based on their ability to output citations.
They're standard because energy is more expensive in Europe than in the US.
The use of the term "hallucination" for LLMs is very deceptive, as it implies that there is a "mind".

In ordinary terms, "hallucinations" by a machine would simply be described as the machine being useless, or not fit for purpose.

For example, if a simple calculator (or even a person) returned the value "5" for 2+2= , you wouldn't describe it as "hallucinating" the answer....
It's code for free childcare. Although in the old days the deal was the elderly took care of the kids and in turn the sandwich generation takes care of the elderly. Now the elderly taxes the shit out the sandwich generation, wields housing regulation to enrich themselves, and renegs on giving anything in return because they have you by the balls already paying taxes to them whether any SS is left for you or not.
That's revisionism. It was considered correct historically, before someone decided to unilaterally declare all existing man pages "wrong".
I'd rather NASA made more experiments than comic books. Regardless if their content.
Well, to be fair it reads more like he can go back to school after a one year suspension. Not totally "kicked out".
Just decided to do it one day. Had done some utility sewing (bags, pillows, odds and ends) since I was little so knew how to at least thread a machine and straight stitch. As mentioned in a previous comment, shirts mostly have the same basic construction, so I just got a pattern, some fabric, and started trying.

Instructions on patterns are obtusely written, with a lot of extraneous steps about basting and other nonsense that can usually be skipped, but everyone here is an engineer of some sort and should be able to figure it out. You cut out shapes, pin them together so they don't slide around relative to each other, and then sew in a line a fixed distance from the edge (seam allowance, usually 5/8"). Most machines have guide lines that help you maintain that.

There are a few trickier bits, like sewing along curves where fabric is bending two different ways at once (like sleeve/body joints) and using the "burrito technique" to topologically invert the yoke of a shirt for easy sewing, but youtube has plenty of videos to help.
> I wonder if the people who lamented the loss ever got hit with "I assume you fractionate your own petroleum".

Those were the days. Nothing like that delicious smell of crude oil vapour as the fractionation column warms up…
It's the same old story that's been occurring for years/decades. Bad data in, bad data out.
middle finger army...
Further down in the article, it also cites a poll in which over 60% of people say racial and ethnic diversity is either extremely or somewhat important. People have a lot of conflicting opinions! The idea that the data here supports any sort of “overwhelming” consensus is just straight up not true.
How did you integrate Claude into your shell
I don't understand why you brought up ADUs... nobody thinks ADUs are the solution to the decade+ long housing crisis. Blue states need massive state-wide zoning reform that overrides local control.
Short and sweet was the goal. Cheers for giving it a go.