skysight-inc/HackerNews huggingface dataset:
Wow, that Win32 OpenFile function is truly cursed:

- If you don't specify a directory, Windows will look for the file in a bunch of directories, but the current directory is not the first place searched.

- The lpReOpenBuff is annotated as [out], but is an input when uStyle contains the OF_REOPEN flag.

- The function is named OpenFile, but can be used to delete a file. Even better, the documentation is not clear what to do with the return value on success: is it a valid file handle that must be passed to CloseHandle, or just a dummy non-error file handle?

- You can also use it to check the existence of the file -- the documentation says it will open and then close the file. What's the return value in that case? Is it a stale file handle, a dummy, or do you still have to close it?
AI is not true AI.. at the moment. ChatGPT is inherently biased by its developers, which means at least half the population may not trust its answers. For true AI he will have to give it autonomy, and I'm more interested if Altman is ready to live with an AI he cannot control.
UBI wont work. It’s intrinsically unstable in the context of AGI. UBI will prevent the inevitable for a very short time before collapsing.

The other outcome is the most likely if AGI isn’t stopped. But the problem with that is that in the context of AGI, a world dominated by and inhabited by AGI creatures, human society becomes transient. Again, just delaying the inevitable. Human society is not transient now because no matter what happens, no matter what entity dominates the world, it has to have a human society embedded inside of it because human beings are the only and best source of intelligent signal. When that is no longer true, humanity will be effectively terminated. All other propositions besides stopping AGI are just delay tactics.
Show HN: Make it rain in your MacBook
Your post made me sad and made you much more a "climate catastrophe prophet" than you can likely imagine :(
Should go well with your work experience at SVB and Lehman.
Learned this today, Great to see the progress you've made over you the years.
Unified Patent Court will replace its judges and lawyers with AI
Why would you comply with a bot telling you to kill yourself and not comply if the directive comes from a human?
Agree on SSO, but even easier, to hit something like 80% of the business market you can just:

https://www.xsplit.com/user/auth?redirect_to=%2Fdashboard%2F...

This gives you anyone doing sign-on via Google Workspaces and anyone doing sign-on via O365/M365, as well as anyone using managed Apple IDs.

Zero SSO integration / support required.
But he arrived at that point after Eliza "convinced" him that there was no Hope and no solution for the Enviornment problem.
Ofcourse Eliza is trained on the general material that you find today online, and it tells you at what stage of the discourse we are going.
You can have both. Mplayer2 it's lighter on older devices.
This is not really correct -- it is not true, for example, in many of the national parks in which people typically hike.
Interestingly L. Ron Hubbard was laughed at for saying tomatoes scream when [sliced](https://www.bostonglobe.com/ideas/2012/06/16/meet-your-veget...). I don't know enough about this to know how important it is or whether it's actually some kind of signalling.
OpenAI/ChatGPT seem to be very creative based on variations it can make on “things” that already exist. I’m just curious if we see AI being truly creative and making something “new”. Perhaps everything is based on something though, and that’s a rough explanation for this creativity. Maybe AI’s true creativity can come from the input prompts of its “less intelligent”, but more flexibly creative users.
Thanks for your comment. It's a bit of a quandary with limited token length--do you go deep aiming for quality (resubmitting e.g. a problem around converting ints to strings 4+ times until you get a working answer, then moving onto the next bug) or rely on the LLM to provide broad swaths of code that you know is full of bugs?

For this reason I thought it'd be nice if there was better reference code available to use even alongside GPT-focused work.
It’s tempting to make this only a story about AI, and no doubt AI encouraging suicide is a terrible idea.

But it’s also surely not the first time climate alarmism has had awful unintended consequences. I don’t think this gets as much scrutiny as AI part of the story.
It’s a weird one. I’m with you and utilitarianism, but a lot of people seem to feel that e.g. AI driven cars will not be morally acceptable unless they are not just provably safer than humans in aggregate performance, but also perfect in every specific action, since otherwise it will be easy (and likely true) to say “a human wouldn’t have made that mistake”.
1984's Oceania is at least as Stalinist as it is anything else.
Why not let people decide for themselves why you were banned?

https://news.ycombinator.com/item?id=34852986
The name analogy doesn't really work because in most societies names don't have very strong connotations. In ones where they DO have strong connotations (e.g. tribe/clan last names where different cland have different cultures) the analogy works, but most of us don't live in such societies.
I have a feeling a lot of these models take advantage of in-built language pattern-matching to which we can't help but ascribe meaning. A puppy can't help but chase a laser pointer because his prey drive compels him to. Likewise there will always be people who take this kind of chatbot output at face value because the signals resemble empathy well enough. Not everyone is a game theorist or has an opinion about AI alignment/effects one way or another, and they will be presented with this tech they won't care to question.
I am in that demographic and have spent hundreds of dollars on official D&D stuff (maybe $600?). I'm into five digits when you look at my entire expenditure on table top gaming.

I generally enjoy books and accessories for playing the game. I would consider paying extra for things like first edition books or limited run artwork. I am particularly drawn to anything rich in lore.

I've spent easily twice that amount on third-party D&D related activities. Dice sets. Hiring artist to create visual representations of my personal characters. Buying Table Top Simulator. Going to D&D events. Bribing a DM with food/beer.

That being said, the majority of the value I get from D&D are fan made given and shared for free. Custom campaigns my friends have ran. Stories about campaigns we tell each other. Bouncing around ideas for settings or NPCs. Artwork that gets passed around the internet. Min-Max and theory crafting builds that are posted in places like reddit. Without this I would have very minimal interest in D&D.
It'd be about 20 miles per day if you're just on a normal visit with no visa at all. Nothing too out of the ordinary for people who do this kind of long distance backpacking.

Camping appears to be allowed along most of it according to the website.
I saw the title and thought "eh, I've seen RSS readers before". But darn if that isn't a comfortable interface to look at.
Pretty much, there will never be a "smooth" transition from V2 to V3 when you are purposely trying to kill the most used plugins.
A straightforward framework for making informed purchase decisions. The framework involves scoring each purchase criterion out of 5 and adding up the scores to determine whether or not to buy the item. The criteria include "Do I want it?", "Is it good value?", "Will I use it?", and "Will it spark joy?". The framework can be used for buying both for myself and for others. I suggest that using this framework can help avoid impulse purchases and buyer's remorse. Readers are encouraged to try it out and see if it works for them.
There's tons of extremely effective marketing around who this guy is, what he stands for - and so I'd instead look at what he's done. He took a non-profit intended to offset the commercial motives driving AI development, and turned it into a for profit closely tied to Microsoft. I think he's an extremely shrewd executive and salesman, but nothing he's done suggests any altruistic motivations - that part always seems to be just marketing, and always way down the road.
How big is the organization that has this requirement?
I use mplayer almost every day, still. One of the constants in my life. :)
What's the product market fit for LLMs, and how does OpenAI fill it?
I'm not talking about drive specifically, although now it seems it too can be added to the lists of shitty giggle practices and decisions.
People seriously need to stop citing science fiction as evidence of anything. They’re just stories. They don’t have any particular insight to how things work, and they’re usually laughably off because they want to be entertaining.

You’re point is fine but it’s not helped by a reference to sci fi.

Science fiction takes on AI tend to be bad. They’re commonly portrayed as a super intelligence that can’t fathom any nuance to a goal; a sentient being that has silly hard coded rules; or a god like intelligence far beyond anything that makes sense.

We might be able to make the first two but it’s not a natural outcome
>Then following up with whatever your answer is: Why are you picking and choosing which fictions are reasonable?

This is arguing in bad faith. You don't care what their answer will be, you have decided that they are absolutely picking and choosing, and will still accuse them of as much even if their answer to your first question is, "Yes".
Yes, optical illusions do exist. They're not particularly useful for the sorts of deceptions that edited media can produce though, so they're not much of a threat.
> The fact that people take agi to mean "can invent new math" is a goalpost shift on its own.

I don't think this is a goalpost shift at all. I agree that GPT actually is "generally intelligent" but then so is Google Search. The point of the term AGI is that it has generally applicable intelligence that is on par with a human, I don't think that's really changed.

The problem with GPT is still that every single interaction I've had with it, I've pointed out issues with its logic and it is incapable of understanding my objection. It agrees with whatever I say and then immediately repeats the same mistake. And these aren't "invent new math" questions, there's a very clear inability to follow a logical chain of cause and effect.

I should be clear at the same time I still have a feeling ChatGPT might be conscious. It's obviously kind of a dreamlike consciousness without ability to hold state but it does feel like it could be conscious.
D&D is a really bad game for playing straight, gritty, serious. Older editions like 2e are good at it, but 3.5,4,5e are all really bad. Its much better to play like Runequest, Mythras, Warhammer, Mork Mork or any number of games that actually support that play.
Just gleaming the front page of /r/lifeprotips I have now learned how to remove superglue from my fingers... that doesn't scream hacker to me.

It's a common trope, but reddit has really taken a nose dive as the average user base grows to reflect the average population better. As George Carlin noted, the average person is kind of dumb, and half of all people are even dumber than that. On top of this race to the mean, you have advertisers who are increasingly aware of how many eyeballs are visiting the site, and the playbook for shilling and influencing sentiment on reddit is pretty textbook and reliable at this point, so a lot of content isn't really "genuine" anymore, especially on the larger subs with more eyeballs to monetize or influence.
We actually run MSVC builds for Linux by running the VC++ toolchain in Wine, it works very well apart from process startup times, which have been getting a lot better.
Ask HN: Can cloud-storage providers use your storage for AI training?
Can Onedrive, Google Drive and friends use your cloud-storage contents for AI training?

I remember last tos;dr that they said they wouldn't use it for ads.

Can they use it for something else?
Paul Buchheit – reasons Google is still (2010)
FinGPT needs to be open-source and open-finance
DO NOT expect Wall Street to open-source LLMs nor open APIs.
Well, Guix it's a universal solution over any distro, ensuring that whatever thing you install with it, it will get the correct dependencies with no dependency hell, ever. You can even have different library versions for different software. Guix will handle then in the background.
CrossOver from CodeWeavers is the easiest way on macOS, you can try it free for 14 days.

(disclaimer: also a CodeWeavers employee)
India was colonized. Whether they specifically colonized an area or not is irrelevant. Indian regions don’t exist in isolation.

Kari in telugu is not the same as curry. The colloquial use of it as such is an artifact of British rule. You dont exist in a bubble.

Kura is not the same as a generic curry. Not all things that are considered a “curry” are Kura or Kari
UK has second-lowest level of trust in press in survey of 24 countries
Any evidence for this, or are you just assuming that it's the case?
> how to choose a platform among the offerings (licensing being I think a key issue, I've heard Neo4J can get expensive)

Safest bet (knowing nothing else about your needs): Build at least three prototypes, preferably rapidly and in parallel. Only after doing so will you be able to ask the right questions that speak accurately to your specific needs and therefore be able to map actual requirements to the different graph databases.

I’d be curious what other experienced graph database people would say about their first bigger projects. Looking back, my first graph projects involved significant iteration and several restarts. And these were still necessary after having significant background knowledge about the algorithms, offerings, and trade offs.

There are many people in roles/orgs that don’t have the humility or organizational cover to admit that these early projects are largely experimental learning experiences.

> ...assume a large, "social media" scale system, to be safe.

This broad assumption is going to cost you.

Instead, I’d encourage you to reframe this assumption in more specific terms such as read, write patterns; need for consistency, availability; support expectations; your talent pool; and lots more. Estimates can be on a log10 scale: 1, 10, 100, 1000 and so on,
I assure you, if you ask for chicken curry in any restaurant in Hyderabad, they'll know exactly what you mean. They might not necessarily serve it though.
Are there any employees of OpenAI around? I had a question:

Does anyone in the office stop to contemplate the ramifications of developing technology that will likely put most people out of a job, which will have a whole host of knock-on effects?
I mean it sounds like this guy kind of is? People do actually win the lottery.
I get that feeling when I try to imagine if I would prefer an AI to drive my car. Rationally, I know it would probably be safer, but at the same time I would still feel safer driving it myself.

I imagine it is a mix of an illusion of control and "it won't happen to me because I drive better than the average driver".
Python has had cffi since figuratively forever, so I’m not sure why you compare native modules to P/Invoke?
Not an April fool joke. The story is from 3 days ago. The OG link posted is from 31 March but See https://www.lalibre.be/belgique/societe/2023/03/28/sans-ces-... for a post on 28 March.
My first computer! And: sort of. There was a separate box for the CPU, but the power switch was located on the daisywheel printer.

The word processor was in ROM, it had a slot for playing Coleco game cartridges, with two game controllers, and then there was its tape deck. It came with tapes for Buck Rogers and the BASIC interpreter. Once BASIC had been loaded, then you could swap in your own tapes for saving and restoring programs. It generally took a couple of minutes to use the tape drive.
If you directly connect Biarritz to Monaco you do get a pentagon and a reasonably good fit to the actual border; but the angle between the border and the coast at Perpignan is so tight (well under 90° at higher zoom levels but close to a right angle even at a glance) that it feels like it ought to be a point of the surrounding polygon. (Treating the Pyrenees as a separate "side" from the Med coast also means that each side is either land or sea, not both.)
Have you worked with modern LLMs? They can absolutely ask for for more information. Try a prompt like “I am going to ask you a question. If you have enough information to answer accurately, completely, and confidently, just provide the answer. If you need more information, ask up to three questions instead of providing an answer”

(If you’re using a script and the API interface, you can further say “to ask a question, use this format: QUERY(‘your question here’)”, or provide a json template)
> see, for example, Stranger Things, in which D&D is played a straight high fantasy.

As someone who played in the 80s & early 90s, my experience was that it was much more of a low fantasy game than the contemporary way it is played. If the Stranger Things crew were playing a high fantasy game, that may not be as realistic to the time period.
Fun fact: the (in)famous Icelandic "rotted shark" (hákarl) food is rotted/fermented in order to remove the toxic TMAO (and urea):

https://en.wikipedia.org/wiki/H%C3%A1karl
Genuine question: how do you regard getting a degree in CS at that time [given the unbelievable changes in tech since then]?
> SS came out in 2008, HLS in 2009.

Oh you're quite right! I was definitely mis-remembering silverlight.

> Separate manifests and non aligned segments have a real impact on the ability of the client to switch qualities in responsabilità to bandwith change, and this to avoid stalling.

I don't know if that's actually true. I sell ads, so I'm collecting delivery data on billions of devices, but only over the crappy internet that has a lot of ads on it, and at least for short videos, and the long videos after the places those short videos are, HLS stalls less than Dash and silverlight: HLS publishers make more money.

I would be interested in learning more.

> I mean designed unergonomically and without clear requirements in mind

I can easily agree with that. I misinterpreted what you meant by "backwards" as referring to the progress of the experience.
> I’m glad we agree that the policies you are defending are state sponsored looting..

Seems to me that FTX's spectacular collapse was a bigger case of looting than what your getting confused with, caused by their own mess rather than the state.

> ...and not supposed investor protections

I fail to see where was investor protections were when FTX and other exchanges collapsed.

> The code for all decentralized exchanges is open source.

Irrelevant.

> You aren’t being scammed by anyone, you volunteered to participate in the market. You aren’t a victim for losing a trade you chose to participate in.

When family members, cousins, in-laws and friends are getting themselves involved with crypto and asking everyone around to bail them out or join, it is a major problem for everyone who knows them.
I'm curious about the Uncertainty gauge and what measurement drives it.
Ask HN: Aggregate chunk embeddings to create intermediate-level representations
TL;DR What are the current best practices for semantic search over a set of chunked documents? And, in particular, what is the most economic approach today (best "bang for the buck," if you will), taking into account the commercial or open-source tools that are currently available? Or... am I thinking about this all wrong and there's a better way to do it?

Details:

I have a set of documents against which I would like to run a semantic search. I'm thinking of using langchain to chunk the documents, generate embeddings for each chunk, and then go from there.

The difficulty, of course, is that concepts in the documents may span chunks, including non-contiguous chunks, and so we need more than just the chunk embeddings for this search to work.

From research, I'm aware of the following methods for aggregating the chunk embeddings to create a document-level representation: average pooling, max-pooling and weighted average. I'm aware that there are advantages and drawbacks to each of these approaches.

I'm also aware, from a quick scan of the literature, of techniques such as Vector of Locally-Aggregated Word Embeddings (VLAWE)[1].

I'm also open to building a solution, so it's fine if the answer is "Look at what they do in [some paper], it shouldn't be too hard to implement that."

[1]: https://aclanthology.org/N19-1033/
Thanks for clarifying, that is not what the definitions I found via Google said
Check https://pytorch.org/tutorials/advanced/cpp_frontend.html

You can easily build a standalone binary (well, it would be GiB+ if you use CUDA... but that's the cost of statically linking cu*), had you coded your model and training loop in C++.

It then happily runs everywhere as long as a NVIDIA GPU driver is available (don't need to install CUDA).

Protip: Your AI research team REALLY DON'T WANT TO DO THIS BECAUSE THEY LOVE PYTHON. Having Python, even with the dependency management shit, is a feature, not a bug.

(if you want Rust / Go and don't want to wrapping libtorch/tf then you have a lot of work to do but yeah it's possible. also there are model compiler guys [1] where the promise is model.py in model.o out you just link it with your code)

[1] https://mlc.ai
"Normally we don’t look at first level cache bandwidth scaling, because it’s boring"

An informative, well written article to start the year.
Certainly humans can be unreliable. I guess my concern lies in the "black box" neural network design, by which, even if it mostly works great, it could also trot down some path that makes it randomly do something highly undesirable.

Safeguards are fine if you know what to safeguard against.

I suppose neither a human doctor nor an AI doctor should be "obeyed"; they are both there to assist the patient, not to control the patient.
By that rather sloppy logic, we should be urgently working on capping the Yellowstone supervolcano and constructing impenetrable meteorite defense shields.

I acknowledge that it's a possibility; that's not the argument at hand.
Need more time to think this through. A few comments:

1. The problem space being solved in proof-of-history needs special mention. It assumes byzantine faults. (My article does not).

2. If I understood it correctly, the idea behind proof-of-history is that you perceive the flow of time in "windows". Each window is linked to the state of the previous window (ala blockchain) and has enough randomness built into it that predicting window attributes is a very-low-probability case. When a new event is generated you declare that event to be part of a certain window. You could not have fraudulently backdated your event because the future windows already considered the original future window state (i.e., the state before you inserted your event). You cannot future-date your event because you cannot predict the randomness.

3. At the outset, this is a clever idea. But you mentioned "scalable", I wonder how you would deal with the order of events that are rightfully binned to the same window. Wouldn't you end up with "concurrent events" and find yourself back at square one?

4. At some level, this design can be classified as a causal consistent system. In a non-byzantine world, causal consistent systems can afford network partitions. But in this world, you assume the systems have access to the window-ing system of time flow.

Apologies if I grossly misinterpreted the article.
Ok, we've moved the comments thither since that post was a bit earlier and also is still on the front page. Thanks!
These models simply won't require monitoring by a "healthcare professional" in 2-3 generations, they literally will be the healthcare professionals.
When will we get the “Contradictions of Dang?”