skysight-inc/HackerNews huggingface dataset:
>For the past 31+ years I have been making applications in generally the same way. Hand-crafted some code for the UI, API and Data store, refine and repeat. I think this age is finally coming to an end.

I find the perception about development history interesting. I don't think most people have been making applications the same way for 30+ years. GUI tooling has become increasingly better and more declarative for a long time. Just to pick one example, when I used Qt for the first time, that was a pretty big step up for me from writing UIs solely by hand. A good graphical UI building toolkit generates code just the same way a text based interface does. And I'm too young to have experienced the whole Visual Basic history and shifts in how UIs are made. Web development also has steadily seen higher levels of abstraction and tooling. I don't think many people build web-apps the same way they built websites in the early 2000s. Or just compare something like Unity to how people built games 30 years ago.

LLMs are fine but generating code and moving away from handcrafting everything isn't as novel as the post makes it out to be. Development environments have driven productivity up continuously for a long time.
A $7 per query estimate is beyond absurd.
A desk mat, like the ones by Nordik [1]. It's like a giant mouse pad that also goes under your keyboard.

I can't stand the size of normal mouse pads and I can't go without one because the years wear on my desk. Plus it also serves as coaster, art, and "clean zone" that my cats know to avoid. You can get them custom printed with anything you want.

[1]: https://amzn.to/3ZyXiU5
You were right, I did it.
> Lot of confusion here. UTC is a time standard, not a particular time zone. An instant written down in, say, the Pacific Standard Time Zone can be a UTC-scaled time.

UTC is very much a timezone, that’s why it has a timezone designator (Z).

If you record a future PST date as UTC and PST changes, your recorded date is now wrong.

> So for a date to be “in UTC” really just means it uses the leap seconds published by IERS. This article says “integers in UTC” which is a little ambiguous, but probably means “integer UTC seconds since the Unix Epoch.”

And that’s guaranteed to fuck up for future local events.
Modern food and energy rely upon countless items manufactured in China. John Deere would not be able to continue making the tractors they currently make without Chinese components. Same goes for everything from oil tankers to highway pavers. Even the logistics side would become difficult without being able to replace cell phones and computers.
I was surprised lately to realize there is a not a standard way to import a parquet file in MSSQL. Happy to be proven wrong
Is this related to being an MSDN member?[1] Is this another marketing channel to get devs to build for Microsoft target platforms?

[1] https://social.msdn.microsoft.com/profile
Location: Berlin, Germany

Remote: 100%

Technologies: Python, C++, data-science, embedded (Linux and bare metal)

Website: www.slashdev.team

Email: contact@slashdev.team

Hi,

We are /dev - a software consulting boutique and we specialize in tailored data acquisition pipelines, from reading sensors, through data collection, to data analysis and visualization. We are also ready to jump in and help when a project gets into a tough spot.

We are working remotely, but, if need be, we can do a kick-off/workshop on site.
It supports local models.
I guess the term has become very vague since we now use computers for everything.
While llm don't learn, they have now enough token input space and handle context well enough to manage a cyclic conversation.

While not learning, they can still run inferences on what they are fed as context within the token space. And because they are becoming so good at getting context out of structured data, they can use the context provided as a layer on top of their knowledge.

So you can at a very good approximation upload knowledge into them, and such knowledge can represent how to use tools to fetch data they don't know about - i.e. what langchain agents are doing.

Now of course that is not 'llm' some, is llm + code for informaron discovery, but that code is entirely supported and enabled by the existence of good enough llm
I’d be curious to know! I get skeptical when it starts moving into the “emergent properties of language” but language was built by fleshy neurons, it could be that some inherent pattern emerges in the language we speak that reflects the inner workings of our brain, which by trying to emulate makes a similar brain on the other end.

However, that feels a bit magical to me at the moment. Still interesting to be along for the ride humanity is going on!
My kid likes monster trucks. I live in one of the wealthiest areas of Long Island. Tastes vary; thus the only thing IMHO that is defensibly low-class is something objectively a bad or unethical choice, like dishonesty. You're going to get into hot water ascribing specific tastes to class; I just read the other day that some of the most exclusive residences in Vegas have clientele with bizarrely specific yet very basic food preferences.
Every service previously provided by white collar workers and afforded only by middle and/or upper class will be democratized and available to everyone.
5m is an odd number. 24 bit numberfield would get you 16m uniques. I can't see how they needed to steal bits to get to 23 or 22. So there must be some other factor at play here apart from 'we used 3 bytes in the gRPC model'

Perhaps the Windows exposed API assumed somewhere around 5m objects, and they care about the compatibility greatly.
Windows Access Control Demystified [pdf]
Location: Ann Arbor, MI

Remote: Yes

Willing to relocate: Yes (anywhere in the US)

Technologies: C++, Python, SQL, React

Résumé/CV: https://docs.google.com/document/d/1EWbU53K_FBdgI2TczVCDqnxC...

Email: mwang0401@gmail.com

Hello! I'm a junior at the University of Michigan who is looking for a software-related internship during the summer (preferred) or fall. I've had some experience with backend and full stack development through course projects and personal projects. Please shoot me an email if my experiences align with your needs.
They're not directly related as Australia sells LNG to Japan and Japan is buying oil from Russia, but it you have a read of the ABC article linked you see the following:

>"The consequence of these well-intentioned policies will be that the increasing energy demand in our region will be met by coal and not by natural gas," Mr Ueda told MPs at private parliamentary function.

>"The result will be much higher global greenhouse gas emissions and will make net zero by 2050 an impossible task.

>"On the geopolitical front, Australia's 'quiet quitting' of the LNG business has potentially very sinister consequences.

>He said the question of who would replace Australian supply into the market was front and centre.

>"Alarmingly, the 'inconvenient truth' is most likely that Russia, China and Iran fill the void," he said.

I don't think this is coincidence, and I do believe Japan has a lot to lose from the often talked about 'energy wars' given they have no resources to rely on domestically to fill these requirements.
Why can’t you ? Kites and sail usually can operate on the same wind angles, the only limitation I can think for kites are bridges which are not encountered in the large percentage of the trip.

On top of that, higher altitudes wind Jane more power potential than the ones used by sails, ask kytesurfers !
Okay, I think we are in agreement. Let's say current LLM architectures are clearly capable of developing internal representations, not just learning surface statistics, and it can execute algorithmic computation as complex as computing Othello board states, and it can completely generalize out of distribution thanks to such algorithmic computation. (One experiment was to completely eliminate any Othello games starting with move C5 from the training data. The model had no trouble generating only legal moves for C5 games.)

I agree whether LLMs trained on natural language do develop world model is an interesting and open empirical question. They clearly can, but we don't know whether they do. I do consider the evidence pretty suggestive that they do. But this is clearly just an empirical question, not a question that can be answered by arguments as useless as "they are statistical models", because statistical models can and do learn world model.

I actually consider your considering this result not incredibly surprising pretty surprising.
Date is confusing with a timezone (UTC or otherwise) and the doco makes no such suggestion.

The Parquet datatypes documentation is pretty clear that there is a flag isAdjustedToUTC to define if the timestamp should be interpreted as having Instant semantics or Local semantics.

https://github.com/apache/parquet-format/blob/master/Logical...

Still no option to include a TZ offset in the data (so the same datum can be interpreted with both Local and Instant semantics) but not bad really.
I think an important distinction here is to say that currently, you perceive them to be real. They aren't factually real things, at least not yet.

Judging someones personality is a subjective process, not an objective one.
So the AI Ethics peeps are the True Scotsmen?

We may just live in a world where there’s room for more than one viewpoint and people are able to research different aspects of the same thing without getting into debates over dogma.

I mean, inclusion -> https://news.ycombinator.com/item?id=34698769
> 6. Human performance on a task isn’t an upper bound on LLM performance

Is that true? Because LLMs are trained on the work of human: a LLM that learned all of the content of the articles would at best yield output equal to that of the human writing.

The reasons the author gives seem unfounded to me:

> First, they are trained on far more data than any human sees

If the human writer has access to google (everyone in modern society) this point is moot.

> In addition, they are often given additional training using reinforcement learning before being deployed.

If this is human in the loop RL, then the upper bound would still be the human training it. If it isn't, refer to #1.
>Obviously, slapping a sail on a diesel powered ship straight up doesn't work. They would have done it. You need something more.

Who is they? The early days of steamships indeed had both sails and engines on the same ship.

Mostly shipmakers haven't put sails on oil-powered cargo ships because there hasn't been a strong need for it. Fuel isn't expensive enough to warrant the extra effort. But the desire to reduce CO2 emissions starts to tip the scales.
Discrimination lawsuits in the US are supposed to be torts I believe, which is what allows you to have these big settlements (think McDonalds coffee too hot, that was a tort) I would think that Safety violations may also be torts - but probably not all the time.

https://en.wikipedia.org/wiki/Tort
> I'm thinking if I were a company, I'd be pretty keen on replacing humans with AI as soon as possible.

Which is to say little. That would be true whether discrimination law existed or not!
I got sick of juggling code that migrated from one category to the other, so I wrote a little script that deals with chopping up a large source file into multiple TUs before feeding them to the compiler.

https://github.com/akkartik/mu1/blob/master/build2

More details: https://news.ycombinator.com/item?id=33574154#33575045
The XPS13 is far from "great"; it overheats, the battery life is poor, and the speakers are straight out of the 90s. I have one and I regret buying it.
I’m a full time open source maintainer/dev, and I have no particular gripe with GitHub or Microsoft’s management of it. That’s it, I’m not ranting. Cheers to you too though!
Or it could be the fact that Elon is trying to have his employees work 24/7 adding whatever new ideas he has for the product and "move fast" is causing the "and break things".
> Storing (UTC, latitude, longitude, altitude) is the holy grail, I guess.

It’s not.

If I set up a meeting next year in NYC at 10 and the legislature decides to change the timezone’s offset, the meeting remains at 10 NY time on that date, it does not shift in NY time. It’s the UTC which shifts.

And UTC alone is sufficient for past events, as they are fixed instants in the time-stream. Unless you’re at a stage where you need to take relativistic effects in account, then you need to add the referential.
It also sends a signal to unscrupulous people who file baseless lawsuits looking for a jackpot settlement.
They could also just not operate in China and not submit the rest of the world to Chinese law no?
Its about the market, not just technology. There is appetite to reduce emissions now that didn't exist even 10 years ago.

If they can reduce fuel consumption 20%, maybe it's not a unicorn but it'll (hopefully) make some money. Also it gets creative people with novel motivations some real experience in the space, maybe they learn something and maybe they iterate.
It sounds like the problem isn't the hardware, it's the shitty, bloated software.
It probably will more than pay for itself, too. If it saves just one or two unnecessary S&R missions a year...
> Australia is making noise about keeping more of its gas reserves to itself or off the board altogether (fossil fuel aversion), and that energy decisions take timeframes of five to ten years to swing about.

I don't think this is about not wanting to sell abroad for climatic reasons, I think it's solely down to the east coast of Australia having to buy gas at spot pricing because their entire production is sold into the gas market instead of having a percentage reserved for domestic use at lower rates, like we do out here in WA.
Step 2: Extend.

(Note: they did precisely the same thing with VS Code. All the best bits are proprietary.)
The author is confusing knowledge with intelligence. Most intelligent people wouldn't be able to answer the questions in the article at all. Because they lack context. For example they probably wouldn't have a clue who the author is and he's effectively "googling himself" here, which is a bit narcissistic.

Gpt-4 is trained on a vast amount of knowledge. So there are a vast amount of topics where you can ask it questions and get reasonable answers.

I know because I've done so. Like world+dog. There's very little need to argue that at this point. I've actually been forcing myself to stop using Google and just ask the question in bing chat several times. I get perfectly reasonable results almost every time. It's kind of impressive and scary at the same time.

Most people know a lot less. So, are they dumber than chat gpt-4? No of course not. They just know a lot less. Most of them have not even read a tiny fraction on what gpt-4 trained on. And given that we have gpt-4 now, they can save themselves the trouble and just use that as an extended brain. That would actually be intelligent behavior. Most scientists distinguish themselves not by knowing a lot of things but by asking interesting questions and doing a lot of hard work to get answers.

Cornering chat gpt on things it doesn't know about proves nothing other than that there is knowledge out there that it clearly wasn't trained on. Which, it will happily tell you, is a lot of knowledge. It's more interesting to corner it in logical contradictions about stuff it actually does know about, which isn't all that hard. But all that proves is that it is not quite an AGI yet. It will happily tell you that as well. In fact it will tell you about it's limitations to the extent it gets really annoying. Unless you ask it not to.

It's actually quite good at different languages. I've engaged with it in my native language Dutch and it seems about as fluent in that as in English. And it translates between the two as well. If you stick to the same topics, you get comparable answers.
Didn't Q&A for DOS do this in the 90s?
I guarantee there are at least thousands of people who rely on this. That's a lot of people's lives.
At Twitter's scale "very few" means "a couple million"
This "lock-in" you are speaking of is "building useful things that people voluntarily want to use, who then need these things so much that they don't want to leave".

Okay it's within your rights to define lock-in this way. But it seems odd to me to blame Github for this. The reason why switching costs are high is because alternatives aren't as good.

What do you want Github to do? Stop buding useful things so that they're not better than alternatives?

There was a time (before acquisition by MS) that Github was exactly like that. Gitlab was threathening to eat its lunch. But I can't say that those were better times.
i stumbled across an invite-only social network a while back. the front-facing branding was all about change, being the face of tomorrow, yadda yadda. like some 20th century industrialist's idea of a eugenic utopia where they summon scientists and artisans to a remote island to make a new humanity or what-have-you

at the risk of sounding hyperbolic, why does it feel like this would appeal to the same people?
As an alternative for purely local LLMs, I've been having fun with this setup: https://github.com/oobabooga/text-generation-webui
I keep a small level attached to the top so I can tweak it level.
Which of my estimates do you find absurd? How would you calculate cost?
> There are even people advocating to take the farms from them.

That’s the only option left on the table if they won’t shrink the livestock and diversify as farmers.

Let’s be real: it’s not like this legislation came out of the blue. Nitrogen deposition as a problem is something the sector has known about for a while. Instead of diversifying away from nitrogen emission these companies chose to double down on nitrogen washing technology.
Turns out that technology doesn’t work.

Intensive livestock in the way it’s happening now doesn’t have a future in the Netherlands. I’d like to go even further and say that it makes a poor investment anywhere in the world.

Farmers are entrepreneurs. Being an entrepreneur means managing risks and they did that pretty poorly as a sector.

A lot of farmers invited the risk and harvested its profits.
Had they diversified they would have been in much better shape.

You can’t eat your cake and have it..
> I'm fast coming to the conclusion that all renewable tech is about allowing the government to have deep control over your energy, and to put you in a situation where you are forced to buy very expensive gear from mega-corps.

As opposed to government-sanctioned utility companies and petrol companies? Its pretty easy to make your own solar panel (not an efficient one, but something). It is very capital intensive to mine for natural gas and crude these days. Surely the solar panel + battery offers more independence (as evidenced by the fact that nearly every large RV owner is thinking about getting solar now).
I'd love to see it too, but don't you think the sentiment is a little entitled?

Meta is a private company that can do whatever it wants and Zuck doesn't need to justify anything. He's also not being too egregious here. He's stopped hiring new remote, but hasn't forced any current remote people back into the office. What right do we have to demand more from them?
No, this calculation was solely expected lifetime energy yield of the system divvied up by gear, installation and bureaucracy cost. I did not get any subsidy for building out the system.

I do get spot market feed in pricing + a very generous feed-in subsidy, but this only accounts for making my payback period shorter and was not included in the cost of energy calculation mentioned.
> I just feel this sort of nuance is lost on primarily American audiences. The world isn't homogenous and at least here in Thailand values are significantly different for better or worse.

So why not reduce functionality in the foreign versions and allow the rest of the world to have this functionality?
Ah yes, the spirit of open source, manifested harmoniously in a private members-only forum.
I'm failing to see what AIXI, a theoretical RL agent, has to do with LLMs.

I never said that predicting the next word was a stupid goal, just that it isn't AGI.
I can get a stapler and a tape dispenser (a really nice heavy one) for 110 yen each at my local Daiso. That's USD$0.83 each, at retail prices.
It probably won't succeed, because most startups don't succeed.
That's cursed just the way I like it.
You can build web apps from Jupyter using Datapane [0]. I'm one of the founders, so let me know if I can help at all.

You can either export a static site [1] (and host on GH pages or S3), or, if you need backend logic, you can add Python functions [2] and serve on your favourite host (we use Fly).

We have specific Jupyter integration to automatically convert your notebook into an app [3].

[0] https://github.com/datapane/datapane

[1] https://docs.datapane.com/reference/reports/#datapane.proces...

[2] https://docs.datapane.com/apps/overview/

[3] https://docs.datapane.com/reports/jupyter-integration/#conve...
I find it fascinating how so many HN users ardently defend broad access to Adderall (which has tons of possible downsides, but also tons of positive use cases), but then claim that any and all uses of any and all opiates will lead to a deadly, incurable addiction, even though opiates also have tons of positive use cases too.
If you're having those issues, please address the underlying problem instead of thinking that having the perfect ergonomic setup will fix your body. Getting up from the desk each day and getting some physical activity in will help your body a lot more in the long run.
Sure but that's not the interesting part. If bazel hit some critical mass of usability and/or package availability it could be rewritten.
Their Thelio desktops are quite nice. What about the Meerkat?
I really enjoyed the typography. It had some retro flourishers but looked fresh.

Actually the palette on the entire site is pretty nice. What a pleasing layout
> Stuff they need a lot of, they pre-stage ...

While that's a good point, there are some situations they can't really pre-stage in without that in itself causing serious problems. Taiwan springs to mind.

So if some magical way is developed to have Starship land and offload it's entire cargo in <super short time>, before it's shot out of the sky, I wonder if that would be useful. Perhaps even as part of an effective deterrent strategy?

Starship, "Ironclad edition". :)
In France, they are trying to cut back on exactly this because emergency services are completely overwhelmed with non-emergency patients.
Should they build a community on Mastodon? Not build this at all?

All products have a community and beta testers, from Google Docs to Airbnb. If people don't want to use the GitHub community, the don't have to?
This time, there's strong marketing power though. It has a chance of being adopted by people interested in privacy but not really into computers. It matters a lot.

Now, I didn't really know about LibreWolf, I'll look into it for myself.