skysight-inc/HackerNews huggingface dataset:
My plumber seems pretty safe about AI at least for next century. Unless houses are rebuilt with standards and ease of repairability in mind. But even changing all the houses in the world to this new system would take over a hundred years.
Show HN: Composable LLM prompting and inheritance [video]
We quite agree on this - but getting a new alternative out will require a significant critical mass before it can be of any interest. While PDF has its challenges, it remains a light portable format and its security features make it a good fit for binding documents. The ecosystem, although it is dominated by Adobe, also includes other major players and existing integrations.

The way we look at it is PDFs allows embedding of other files and metadata. It is easy to provide a platform where we can enrich PDFs to display different contents than the one in the PDF itself. If this gets interesting enough, we can then phase out the PDF in the first place. But this is a long way ahead.
No, scam is the right word. It could pretty easily be rolled into the advertised nightly rate.
You're conflating the need to use physical devices to find relationships, with the character of those relationships.

I need to use my hand, a pen and paper to draw a mathematical formula. That formula (say, 2+2=4) expresses no causal relationships.

The whole field of computer science is largely concerned with abstract (typically logical) relationships between mathematics objects; or in the case of ML, statistical ones.

Computer science has no scientific methodology for producing scientific explanations -- it isnt science. It is science in the old german sense of just "a systematic study".

Scientists conduct experiments in which they hold fixed some causal variables (ie., causally efficiacious physical properties), and vary others, according to an explanatory framework. They do this in order to explore the space of possible explanations.

I can think of no case in the whole field of csci in which there are cases where causal variables are held fixed; since there is no study of them. Computer science does not study even voltage, or silicon, or anything as physical objects with causal properties (that is electrical egnineering, physics, etc.).

Computer science ought just be called "applied discrete mathematics"
I hope a few! We have gotten some so far. In general, I just want people who are interested in using the software to be able to get a human on the phone immediately.
"Announced" 2 years ago is different from its availability and ability:

- Intel acquired Habana in 2019

- Habana launched Gaudi2 in 2022

- only in H2 2023 Habana enabled FP8 which delivered around 100% improvement in time-to-train

On the rest I believe you but markets don't move based on single individual's/company's data points
From a consumer-facing perspective, FPGAs have enabled a golden age of reasonably affordable and upgradeable hardware for relatively niche tech hobbies.

* Replacement parts for vintage computers
* Flash cartridges and optical drive emulators for older video game consoles
* High-speed, high quality analog video upscalers

Many of these things aren't produced at a scale where producing bespoke chips is not really viable. Using an FPGA lets you build your product with off the shelf parts, and lets you squish bugs in the field with a firmware update.

There is also MiSTer, an open source project to re-implement a wide range of vintage computer hardware on the Terasic DE10-Nano FPGA.
> What you describe is that, effectively, racism is little more than inaccurate data or interpretation when the data is broken down by race.

that was not how I wanted it to be understood

And yes the problem is that just data, missing a lot of implicit context in both it's training and the interactions, including intend, is not good enough to train a fully non problematic AI on.

And the context is too subtle, multi layered and large to be able to fix it by "just adding" more data/information. As most training data simple can't have the full context as that would require known what people thought when writing it in the past etc.

In addition the AI would need to know the context of the person currently interacting with it (and why they do so) and then depending on it adapt it's answer to make sure it's out-of-context answer isn't e.g. racist. (E.g. if someone ask about the likely hood of someone from neighborhood X being criminal it would need to spit out more then just some percentage but e.g. tell the user without being asked for it that while the likely hood might be higher it comes from discriminatory policing and discriminatory laws targeting poor people.)

Because a statistical point without context can be very easily racist, sexist etc.
> Cleaning fees aren't a "scam" - most property owners really do need to pay someone to clean the property at the end of a stay.

I'm willing to pay a cleaning fee (though really it should be rolled into the cost of the stay) but not also be required to do the cleaning myself.
gh-116167: Allow disabling the GIL
Made it door to door in 4h20m. Clearly the original person was taking the scenic route.
It’s much cheaper for larger spaces. If you want a 2 bedroom living space Airbnb is probably 3-4x less than a hotel.
Is General Motors too big to fail, or just too big? (2008)
Rendering time scales with the length / complexity of the document. At the moment, our self-serve API renders slower than a headless chrome setup. We are working on speeding this up as it is currently in the order of seconds.
Airlines are typically repeat buyers of airplanes. If customers avoid Boeing planes enough to hurt business that will affect future purchasing decisions.
Oh, don't get me wrong, I was a "gifted" kid too. Turning 30 this year. I was in advanced classes from around 4th or 5th grade when they started separating us (suburban Texas) and then went to a special high school where I graduated with an associates degree and my high school diploma. Not trying to brag, just to relate and say I've been there.

I wouldn't say I was a disappointment, but I certainly didn't go as far as even the "smart" kids from my own graduating class. I know many of them are "real" engineers working for companies we all know and doing important work in hardware, architecture, civil projects, and aerospace. I feel dumb compared to them.

At the same time, I have a successful career in software, no debt, happily married for almost 10 years, moved to a different continent, etc etc. Sure, am I "smarter" than the average Joe? I guess, but knowing that information doesn't change anything about my life. If I took a real IQ test, I think I would also feel some sort of disappointment or pressure to live up to expectations or better myself in some way.

Idk; I guess that's why I made my original comment. The utility of knowing your IQ is "above average" is so useless to me, I'm not sure why anyone would want to knowingly saddle themselves with that knowledge. Be free, be happy, and be yourself.
Because it's easier to pull off and experiment with it from ollama (ollama is just go wrapper around llama.cpp).

Llama.cpp could have upstream support for it but for them to consider it will have to be ironed out idea.

In llama.cpp support may have some different, more low level kind of support, I don't think it makes sense to attach state logic to text input there.
that number is almost useless without context .. a dozen things factor into that, and the incentives, local labor market etc
From the first three lines of the linked-to paragraph:

> Hurl can run HTTP requests but can also be used to test HTTP responses.
> Different types of queries and predicates are supported, from XPath and JSONPath on body response, to assert on status code and response headers.
iPads are available with WWAN -- not sure if home-grown or not, but still...
Just to add a bit more color here: most flexor muscles in your body are a lot stronger than the corresponding extensors, so when an external command comes in telling both to contract, for example from electricity in the thing you're working on, gripping wins. You can't let go. Great for grabbing a branch as you fall out of a tree. Not so great for repairing a power line.

Late edit: I've heard you can use this factoid to your advantage to avoid being eaten by an alligator or crocodile. Wrap your arms around its snout and hold on for dear life. Their jaws are strong enough to snap you in two, but not enough to force themselves open when you're holding them shut. I don't know what Step Two is, unfortunately.
I have no interest in doxing myself more than necessary.
> My take on it is that this is the bed the YES voters made, and now they are lying in it.

But that's exactly my point, you're seeing this as a person having made a foolish decision, and now suffering for it.

But there is no such person mentioned in the article. It's an entirely imagined hypocrite.

I imagine all of the people upset that they no longer have EU food standards voted to keep the EU food standards...

The people mentioned in the article are from london and are eating "Ardennes-style pâté". They are not, as a class, people who voted for brexit. In the article, one of them complains about the nationalistic fervour of others that led them to this point.

I don't imagine there are any brexit voters out there who feel anything other than pleased about the appearance of "not for EU" labels. They probably feel it supports long-suffering local farmers, and will serve to stimulate the production of things in the UK as opposed to importing it from eastern/southern Europe. Whether they are right or not is entirely immaterial to my point, which is that people who know very little about matters persist in feeling superior over people they don't understand the motivations of
0. Define the intended behavior and the current behavior.

1. Come up with a hypothesis for why they don’t match

2. If you’re unable to come up with a hypothesis (“I’m sure it should work”), then that means you’re assuming something that isn’t true. Identify one of your assumptions and take it as your hypothesis.

3. Gather data until you’ve either proved or disproved your hypothesis. This can be done by designing an experiment, inspecting variable values using print statements, reading documentation, or etc.

4. With this new information, circle back to the problem. Either attempt a fix, or generate a new hypothesis and start at 1.

Students, and programmers of all skill levels, get stuck at every step. Some other tips:

* Ask for help only with the step that you’re stuck on. You can ask for help creating a hypothesis, but don’t ask for help gathering data at the same time. This keeps questions focused.

* Be mentally prepared to run through this loop many many times until the problem is fixed.
I have an assisted-suicide packt with my wife, that is probably the easiest solution.
I was going to remark about how top tier a troll his post was. Trolling about your own ragebait-trolling on a site where there would surely be someone upset enough about it to feed the trolling. Really good one.
OP was asking about least likely
If you don't have insulin resistance then monitoring glucose won't help, because in a metabolically healthy system glucose remains in a healthy narrow homeostasis as a result of tissue insulin sensitivity.

A recent study found that "40% of US adults aged 18 to 44 are insulin-resistant based on HOMA-IR measurements." So that's two out of five of the US population that could well benefit from glucose monitoring, many still far from a diabetes diagnosis. A large fraction of the remainder on the margins could too.

If you eat a common modern amount of carbohydrates and ultra processed foods you would be exceptional to die of old age without insulin resistance and its widespread damage.

https://www.ncbi.nlm.nih.gov/books/NBK507839/
Who uses Google TPUs for inference in production?
I am really puzzled by TPUs. I've been reading everywhere that TPUs are powerful and a great alternative to NVIDIA.

I have been playing with TPUs for a couple of months now, and to be honest I don't understand how can people use them in production for inference:

- almost no resources online showing how to run modern generative models like Mistral, Yi 34B, etc. on TPUs
- poor compatibility between JAX and Pytorch
- very hard to understand the memory consumption of the TPU chips (no nvidia-smi equivalent)
- rotating IP addresses on TPU VMs
- almost impossible to get my hands on a TPU v5

Is it only me? Or did I miss something?

I totally understand that TPUs can be useful for training though.
Ramanujan is particularly interesting because he repeatedly claimed that divinity gave him his results.

I'm an atheist but when someone like him tells me that god gave him all of his equations - I'm not going to respond with "well ackshully". I'm going to ask them how we can make it easier for them to listen to god.
> I made a free website for advanced SEO keywords analytics

I don't see any free plan (?)
> like in the airplane to spot mobiles

What are you referring to here?
Pop science books seem to fall into "feel good" category of products. Most people buy them not because they are providing easily accessible scientific knowledge, but because these books make people feel smart.

Actual science is often a total opposite from that: it is not an easy reading, and it sometimes makes you feel stupid and stuck, at least until you climb that particular knowledge hill. You will rarely find something like this in airport kiosks.
It doesn't seem to actually tell me which opening I'm supposed to be doing?

I just played "1. d4" and it said it was the wrong. Then after playing "1. e4" it said I'm playing the spanish mainline.
Some discussion here: https://news.ycombinator.com/item?id=39595707
I think "wrapper" is a bit of a reductive term, but we do use Qdrant for indexing and search. There are a lot features we implement client-side though like the ingestion-microservice, relevancy weighting, hybrid with cross-encoder, date-recency biasing, etc.
They universally suck, and I always forget to take them. Same for LTE-to-WiFi hotspots.

(Edited to add: one of the great things about a MacBook [Air] is supposed to be that you just throw them in your backpack, and you can be productive, like, anywhere, without having to worry about battery life, or anything. Still, 'lack of connectivity' kinda kills that dream, which means I still carry my ThinkPad T14 gen3 (despite its power management flaws) or Surface Go2 (Potato Inside<tm>), where I would rather take my MacBook)
Yeah let's give XPS another go.
Gaudi3 is supposedly due this year with a 4X bump in Bf16 training over Gaudi2. Gaudi is an interesting product. Intel seems to have something pretty decent but it hasn't seen much of a volume release yet. Maybe that comes with V3? Not sure exactly what their strategy with it is.

We do know that in 2025 it's supposed to be part of Intel's Falcon Shores HPC XPU. This essentially takes a whole bunch of HPC compute and sticks it all on the same silicon to maximize throughput and minimize latency. Thanks to their tile-based chip strategy they can have many different versions of the chip with different HPC focuses by swapping out different tiles. AI certainly seems to be a major one, but it will be interesting to see what products they come up with.
Apps sold as single purchases are back, but with steep prices
Clean Together: vision-based custom GPT to reduce mental load in tidying up
Yeah, but the question rather is, would let's say 32°C water, 5°C temperature gradient, work to cool the body, if completely submerged? When ambient conditions are deadly wet-bulb 32°C, would it still cool the water to its original 32°C?

So, my thinking would be, if the heat transfer from the body to the water and from water to air (through large surface) is sufficient. In a shaded pool, so all heat transfer from the outside is by convection and conduction.

I guess, if it would be sufficient cooling, you could also "just" drink the water and remove hot sweat from the skin, or dispose urine, instead. In theory, never mind electrolytes.
Show HN: Share and discover the hottest tiny startups in 10 words or less
Time is relative, sure, but “proper time” isn’t relative.
I gave your comment a dislike for the reason that pasting in responses from chatGPT should not be commin practice here. It’s only polluting the comment section in my opinion.
Yes, page breaks are probably the most significant difference between the layout of a web page and a PDF document, and thereby a major drawback when using HTML-to-PDF. There is little to no tooling for this in the web.

If you want granular control over how your PDF will look with content that is more than one page long, you will have a hard time using html.
Prepping a young person to be on a path to eventually owning their own plumbing, HVAC, roofing, etc, business does seem a pretty solid plan.

Though I suppose AI could be part of something that squashes small businesses and funnels work to huge companies. Which would make that entrepreneur angle a bit harder.

There's already a fair amount of SEO gaming to make something that isn't "local" appear to be local.
Motor/hand eye coordination most definitely. That's what millions of years evolution has optimized us for more than anything else. Anything involving manipulating and movement in varying physical environments remains a hard problem to solve in cost-effective manner, despite all the money poured to self-driving cars and general purpose robotics. Of course we have solutions that work in specific contexts, factory or lab environment, but that's about it.

I believe emotional intelligence will become a close second. As long as we don't have perfected humanoid robots like in TV series Westworld, people will likely prefer genuine human contact in certain situations (psychologist, therapist, service sector, nursing...)
> But wait 10 or 20 years. There will be very realistic and fully capable simulations of humans.

So sometime between FSD and fusion as an energy source.
Real humans mostly shows fake emotions when they work in such jobs, everyone who can read humans knows that.

Fake emotions aren't very charismatic, you feel the fakeness from a mile away, a robot showing emotions without that hint of fakeness is way better. Of course you would need to build a model around that, which people hasn't done, but the rules for charismatic social interactions such as serving food are really simple so I see no reason why that would be hard to do.

Maybe you are underestimating robots here, based on the sci fi robots that are very inflexible and bad at showing emotions? We know that AI can show extremely expressive faces when they draw images etc, there is no reason to believe they wouldn't be able to do that since they already can do it.
Tour guide, nurses, physio, child care, psychologist.

Anything in front of a screen is vulnerable

The only profession where I’m 100% confident it’ll survive is the oldest profession
Makes total sense. There is no real requirement to use Tailwind to create the PDFs, we just have grown accustomed to Tailwind :) If you don't use the <Tailwind> tag, the browser defaults are used to generate the PDF.
No, we don't currently do that. However, we are considering adding metadata to PDFs, and using pdfmark could be very helpful!
Yes, I stayed in one that had one in the entryway pointed at the interior of the front door. Very uncommon in my experience, but this was in someone's home that they actively lived in, but were away for the weekend, so I found it to be understandable.
OP is right that it's not necessarily a _scam_ but is more so deceptive advertising. You're also right that they should just show total cost of your stay rather than the nightly rate pre-fees. It's wild to me that Airbnb hasn't done this because it's one of the worst parts of their service that has pushed me (and others I've talked to) back to hotels.
For supply chain workflows the ASC X12 Electronic Data Interchange (EDI) industry standard works much better than PDFs. Unfortunately, despite being around for decades in has only been adopted by forward thinking organizations such as Walmart. Most smaller companies and their vendors still haven't implemented EDI.

https://developer.walmart.com/home/us-edi/
2024: Nvidia's B100 TSMC 3nm (?)
2024: Intel Gaudi3 TSMC 5nm (*)
2023: AMD MI300X TSMC 5nm/6nm
2022: Nvidia H100 TSMC 4N
2020 Nvidia A100 TSMC 7nm

(*): performance critical chiplets at least.
Being myself.
Also great if you can’t live in your house for a short period (repairs, etc).
Art is never going to be replaced by ML-generated works, because art is self-expression and so requires there to be a self to express.
Responsibility. As separate from technical ability.

You won't be able to replace doctors, because you want someone to say "I'm a doctor and you need this surgery". What will happen is the doctor will get an AI to help him, and then he will rubber stamp the diagnosis. He captures the gains.

Pilots and captains are also one of these. Someone's gotta be responsible for the people on board, even if a computer is already doing everything on a normal day.
It does not work on the phone, but I was able to use NFC payments with Google Wallet through my Pixel Watch.
Have you watched Black Mirror's "Nosedive"?

There is a rating system for guests, and losing "social credit" will make using the platform harder.

This implied threat makes people "behave", with both benefits (the worst actors will be filtered out and can't repeatedly impose the cost of their actions on society) and drawbacks (feeling pressured to always give 120%, fear of bad ratings, getting excluded through no fault of your own if you just get unlucky).
The History Crisis Is a National Security Problem
TBF that's not a bad place to be in the current hype cycle. Better than releasing and being permanently written off as yet-another-ChatGPT-wrapper.
Anna's Archive is even better!
no privacy policy.

how do tools like this notify people in the chat that their data is being pilfering and spied on by additional 3rd parties and where that data is stored / transported?
Because labour was cheap and plenty, when they were built with hand with bricks. Also some survivorship bias, as many badly build ones, did not survive the bombs so well.

After WW2 it was mainly cheap concrete.
Ask HN: What are the biggest skill gaps on large engineering teams?
I lead a technology training/upskilling company and am trying to do some research on our next 2-3 courses to build, to upskill engineering teams outside Silicon Valley.

Those of you who work on engineering teams (software, data, AI/ML, devops) at large corporations, especially outside of Silicon Valley -- where do you see the biggest skills gaps? What skills are the hardest to hire for right now? Are companies investing in upskilling their teams, and if so, how?

A year ago, I’d heard from engineering leaders that their teams often lack the capabilities needed to deal with ML models at scale. Is that still the case?
We already have a solution, and they're called hotels.

Society forgot why hotels were created, so now we're re-learning it via AirBnB.
Hidden cameras aren’t as useful if the host can’t take any obvious action from it. So it does have an effect
Right now, AI need a huge number of examples to reach decent performance. Therefore, things where a huge number of training examples don't exist and can't be generated by a simulation or self-play. When AI get past that problem, I expect the whole global economy to shift in a couple of months[0].

Also, things where the point is to be human. Working for rich people in any capacity may fill this role, for the same reason they by watches which cost more than apartments yet keep worse time than a Casio F91W.

[0] I'm also assuming this is more likely to happen after we get a significant number of android robot workers; if it happens before that point, then it may take a year or two for the global economy to shift.