skysight-inc/HackerNews huggingface dataset:
I've got a lot of friends who work at Microsoft. They are smart, sincere, hard working folks whom I trust.

All the good efforts they make in the developer community are undermined by this particular team giving the entire company a bad name. So many things are going right at Microsoft these days you have to wonder why they would allow this to go on?
GPT-blinkist
My favourite part of the article is the Sabaton reference, just perfect timing.
That was an enjoyable breakdown.

Sadly as you suggest, it can be noticed more than not in posts and articles written entirely by humans.
While I'm terrible at predicting the future, I find this hard to believe. I think screening your DNA is something maybe upper/middle class parents might do. I do not believe it is being done by those that cannot afford it.
> I would love to know more about this part

alilleybrinker was the one who got to the bottom of it, so I'll just post his words directly: https://hachyderm.io/@alilleybrinker/111591518571322904

The short of it was that it was weirdly evasive around who the authors were, and that ultimately stemmed from a misunderstanding of the form, not from some attempt to hide who they were.
> Open source alternative are already on par with GPT-3.5 and 4 capabilities

I'm not sure if this is true. With GPT-4, I can successfully ask questions in Japanese and receive responses in (mostly natural) Japanese. I have also found GPT-4 capable of understanding the semantics of prompts with Japanese and English phrases interleaved.

Out of curiosity, I tried doing the same with local models like Mistral 7B and I could never get the model to emit anything other than English. Maybe it's a difference in training data, but even then, GPT-4 has an allegedly small set of training data for non-European languages.
Show HN: A workaround for missing webhooks in OpenAI Threads API
It's still fabricated by TSMC though.

Domestic fabrication is still at the 28nm phase at most.

That said, the Ascend series a fairly massive leap, as it means domestic EDA capabilities have grown massively in China.

That said, I remember they had a massive Design labs in both SV and Delhi+Bangalore that poached from the Samsung, Nvidia, and Intel labs in town before they were kicked out of US+India so idk how much design was done domestically in China.
The government mandated IPv6 around 2004.
There's also a decrease in abusive and propaganda output. I understand that is an issue for a user whose objective for LLMs is abuse and propaganda.

But if that's what someone wants, they can find an LLM vendor who provides that (or create their own). There will probably even be state actors in the near future who will supply such LLMs.

They can't expect any given private company to cater to their objective in that regard though.
Sad, sure, but libertarianism doesn't scale. Once we let anyone's kids and randos on the Internet, the goose was cooked.

There's no putting that genie back in the bottle, short of making Internet 2.
This is a bubble and one that will burst very hard. AI is the perfect technology for this. It's opaque and most investors (who barely understand tech in general) have no clue what it really does or how it works. This is the closest we've ever had to multiple large respected tech companies selling "snake oil" a cure all. The capabilities of AI they mention as if they're available today are literally many decades and generations away. Automating information workers, creatives and engineers will take AGI that's simply impossible with our technology.

When the AI bubble bursts I wouldn't be surprised if takes down major tech companies with it.
I know rewrite it in Rust has essentially become a meme at this point, but really there aren't a lot of great reasons to write new software in languages that aren't memory safe. The only compelling reasons I can think of off the top of my head are interop with existing software and that C and C++ developers would require a bit of training to move to safer languages. There may also be a few problem domains that demand the maximum performance and lowest resource utilization possible, but your typical software would have more than acceptable performance in a memory safe language.
Also, armor sucks to actually wear. It restricts mobility, wears everyone out faster due to weight, causes issues with heat management in hot climates, etc.

Unless there are pretty good odds the risk of getting shot is worth the payoff (and the real costs are therefore worth paying), it’s way easier to just not use it.

Ain’t nobody running an obstacle course in good time in Level 4 armor (or plate).
This is great, would love to see something like this turn into a social network of people building sites / pursuing ideas publicly.

Added my site makeartwithpython.com too.
Celiac is a specific condition, not even an allergy.
If someone has celiac, they cannot have gluten without bad consequences.
Being able to serve someone with celiac means the kitchen has deliberately chosen to do so and have procedures in place for doing it.
Things like changing out gloves, cleaning surfaces or having dedicated space.
This also means knowing what cannot be made safe, which often is things like french fries because friers tend to be shared with gluten products.
Why so glum? Everyone has the option to become a convict!
I dunno about anybody else, but to me teaching people how to convert word problems into code/simulations and how to interpret the results is one of the most important things a country that wants to be wealthy and powerful in the future should be doing.

I've always admired folks who can do these sorts of things in their head, while it takes me a bunch of time to inspect the code and convince myself it's an accurate representation of the word problem.
Open AI actually solved this, you can share a link to a Chat GPT conversation and then it's trivial to verify that it's authentic. You can't fake Chat GPT output in one of these without hacking Open AI first.
> if you care about speed you'll call out from sweet-16 to 6502 code

That's another somewhat odd omission from SWEET16 - the only way it lets you combine 6502 assembler and SWEET16 code is via the pattern.

<6502 code>

jsr SWEET16 // switch to inline SWEET16 code

<SWEET16 code>

rtn // SWEET16 instruction to switch back to inline 6502 code

<6502 code>

You can't do the opposite - switch to 6502 code for part of a SWEET16 function, or have 6502 code call (vs switch to) a SWEET16 subroutine (or vice versa).
Yes, I am sure they have implemented an heuristic for this. It can't do this in all cases, so ergo it does need cognition for the category of problem. At least by your reasoning. There is a difference between convincing you in interaction and proving theoretical capabilities. You also don't know, if your experience is down to inherent capabilities of the LLM, or manually implemented algorithms, when you use ChatGPT.

We're arguing about different things, or about different levels of abstraction. Have fun with ChatGPT.
I know how to fill that hole - increase the ~5% target payout rate to ~8%.

Also, I'm not really suggesting they use any of their existing endowment to cover tuition. Just put a lot of it in the bank and interest alone fills the "hole".
A ton of work has to be done to build old minecraft mods from source.

Doable, but often tricky.
Show HN: Middle Class Text Editor
This is an implementation of slack-style mentions in a plain HTML textarea.

Consider something like the caption for an image on Instagram. There is more or less no rich text functionality, except for the ability to tag people. There's no reason you should have to import a huge rich text editor library to implement just that feature - it's completely doable with just a textarea. This is proof of concept demonstrating that.
Does this lead to a conclusion, or a disagreement with my point, or is your goal merely to present an anecdote?
Most recently, as a manager, I had someone on my team use it to control our memory usage in a garbage collector. I've used it to control temperatures in multiple pieces of high-end scientific equipment. I've used it consulting. It's not a stretch to say I have been a hero multiple times.

CS majors (I was EE) aren't generally taught PID, and I have milked my arcane knowledge. It's very profitable to type in the control loop, do some Ziegler-Nichols, and go home early.

EDIT Oh, I forgot the most recent time I've used PID was with the high-school robotics team I coach. We used PID for part of our robot. I didn't go too deep with the students, it's really just a P controller, but it solved the problem, and dramatically simplified the code.
>And they are able to be linked together such that they all share the same memory via NVLink. This makes them scalable for processing the large data and holding the models for the larger scale LLMs and other NN/ML based models.

GPUs connected with NVLink do not exactly share memory. They don't look like a single logical GPU. One GPU can issue loads or stores to a different GPU's memory using "GPUDirect Peer-To-Peer", but you cannot have a single buffer or a single kernel that spans multiple GPUs. This is easier to use and more powerful than the previous system of explicit copies from device to device, perhaps, but a far cry from the way multiple CPU sockets "just work". Even if you could treat the system as one big GPU you wouldn't want to. The performance takes a serious hit if you constantly access off-device memory.

NVLink doesn't open up any functionality that isn't available over PCIe, as far as I know. It's "merely" a performance improvement. The peer-to-peer technology still works without NVLink.

NVidia's docs are, as always, confusing at best. There are several similarly-named technologies. The main documentation page just says "email us for more info". The best online documentation I've found is in some random slides.

https://developer.nvidia.com/gpudirect

https://developer.download.nvidia.com/CUDA/training/cuda_web...
Started doing this when the first USB sticks became available. Even in Windows 95, which didn't support USB at the time.

Interestingly W95 could be trimmed down to about 35mb, and carefully adding Word & Excel from Office97 was about another 65mb, so it ended up fitting if you had one of the huge 128mb USB sticks.

That's about the smallest I can figure you can get a 32-bit Windows office machine which would be "fully compatible" with the latest Windows & Office versions, as long as you were carefully storing your office files on a FAT32 partition and limiting your expectations (like file size and number of XL rows) to those addressed by W95 which was as functional an office machine as millions of people need today.

For those of you who did manage to run W95 at its full 2GHz maximum over 10 years later on much higher speed motherboards than there were in the 1990's, you know what I'm talking about when I say the most noticeable thing is zero latency in almost all human-computer interactions.

You could be doing all kinds of office work, with lots of other things to "boot".

Just got a couple more of the "small" 128GB SATA SSD that are finally cheap enough for bootable OS's to use like "game cartridges" now. Not much different "application", just faster booting and operation than most USB.

Two partitions on each SSD, one for an OS only, one for ALL related storage.

Still have some massive multibooting going on, but with these lttle SSDs the most up-to-date are going to be W11, W10x86, W10x64, Debian, Mint & Fedora.

Fortunately I got a few of the pre-NUC cheap ASUS miniPC that has a simple hatch on top and came with a full size SATA Desktop HDD right there. Gets even better ventilation and has no exposed electronics when the cover is off all the time, remove the HDD (for good now) and just slip in whichever SSD you feel like booting to at the time.

Looks like about 128GB will do what 128mb would do back in the day.
Looking at the press release it appears to me that this is a form of 'Malicious Compliance' it only makes sense in that context. If you are an administrator or librarian and disagree with the law, you would want to 'ban' the most absurd list of books. You do this for two reasons: 1. So they can print the headline in the article you linked 2. So that when the case challenging this law inevitably goes to trial the lawyers can cite the absurd examples on your 'banned book' list.

It often times helps to think critically about who benefits from an action when you see something as blatantly ridiculous as a dictionary being 'banned'.
From the other extreme, I had recently asked GPT to do something similar with the text of Botchan (a famous literary work in Japan).

The bullet points it gave were were somewhat accurate at points, although I would say that the timeline and relationships wrong at some points. His childhood caretaker became a "woman he had a relationship with" later on, which was a complete mischaracterization. I think the regular version, sans the book text, might be more accurate (as it is probably based on Wikipedia / etc..)
Android Chrome.
It’s so frustrating because there’s no downside in releasing the weights. OpenAI could open GPT 4 tomorrow and it wouldn’t meaningfully impact their revenue. No one has even tried.
Why should people who want to buy during times when the food can be made for less money subsidize people who want to buy during times when the food costs more to make?

Do you expect people to sell their labor for the same price, regardless if it is daytime, evening, weekend, overnight, or holidays? How would you incentivize people to mess up their bodies by going against the circadian rhythm or skip meals and weekend outings with their friends and families?
British counter culture is still alive and well. The free party scene never went away. While dance music entered an unprecedented era of commercialisation under the likes of Carl Cox and Fatboy Slim, the underground kept rolling along. Still today one can ( and many still do), find themselves off the beaten track in the South Downs, Welsh country side, or Cornish hills. Even in London, in unused warehouses & train yards,stacks are brought in and people flock. The only real change in the free party scene is how lines are distributed. Burner social media accounts are much more common than your classic call this number operation. We're still fighting '94 public order act, there's just a lot more obstacles nowadays.
Is it possible to think about nothing?
https://docs.djangoproject.com/en/5.0/topics/db/sql/ :

> Django gives you two ways of performing raw SQL queries: you can use `Manager.raw()` to perform raw queries and return model instances, or you can avoid the model layer entirely and execute custom SQL directly.

https://stackoverflow.com/questions/1074212/how-can-i-see-th... has :

MyModel.objects.all().query.sql_with_params()
str(MyModel.objects.all().query)

And:

from django.db import connection
from myapp.models import SomeModel
queryset = SomeModel.objects.filter(foo='bar')
sql_query, params = queryset.query.as_sql(None, connection)

with connection.connection.cursor(cursor_factory=DictCursor) as cursor:
cursor.execute(sql_query, params)
data = cursor.fetchall()

But that's still not backend-specific SQL?

There should be an interface method for this. Why does psycopg call it mogrify?

https://django-debug-toolbar.readthedocs.io/en/latest/panels... :

> debug_toolbar.panels.sql.SQLPanel: SQL queries including time to execute and links to EXPLAIN each query

But debug toolbars mostly don't work with APIs.

https://github.com/django-query-profiler/django-query-profil... :

> Django query profiler - one profiler to rule them all. Shows queries, detects N+1 and gives recommendations on how to resolve them

https://github.com/jazzband/django-silk :

> Silk is a live profiling and inspection tool for the Django framework. Silk intercepts and stores HTTP requests and database queries before presenting them in a user interface for further inspection
I was quite surprised how bad MFC was by comparison, then OWL got replaced by VCL, still quite good, while MFC continued bad as always.

While Borland had an approach that we could get nice high level frameworks in C++ (a sentiment that Qt also shares), Microsoft C++ folks seemed keen in keeping their beloved MFC as low level as possible.

I read somewhere that MFC originally was similar in concept, but faced too much resistance internally, thus the outcome and was rewriten.

And to this day Microsoft hasn't been able to deliver a C++ framework that is as nice to use as those from Borland.
No e.g. reply on HN works.
I failed to see the value.

You don't have to use the modeling part of an ORM. Just the built-in security, session, and connection pool handling is already valuable. And you can already do:

```

params = [123]

session.query("SELECT * FROM my_table WHERE userID = ?", params)

```

Why introduce another library just for that?
A reference 3090 is longer by 69mm, wider by 29mm, and thicker by a slot than a PCIe A100.

Though I think the comment you're replying to was talking about them both using the same Nvidia GPU architecture, Ampere.
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All of those things. Most HLS tools use the CDFG to generate optimized resource bindings and area-aware optimizations.
Yeah, HN readers know it's AI generated, others do not because it doesn't say so anywhere on the page
Yeah. I'd prefer to see that instead.
If you’re on a relatively remote and isolated island, once you’ve seized control, ensuring you have no real challengers by outlawing weapons is pretty doable.

If you’ve got long, porous borders and are in the middle of the route everyone uses to pillage it isn’t.
Throw him off the deep end into Minecraft modding ;)

If you search around there are some pretty decent "download InteliJ and go" things.
One way to think about is, suppose you switch -- why not switch back?

In the random-open case, you really know nothing new about either of the closed doors. If you can talk yourself into switching, you could make an equally good argument for switching back.

In the Monty-knows-and-always-shows-goat case, you have gained information about one of the closed doors. You haven't gained any information about your initial pick door. But the other remaining door, you know there's a 2/3rds chance that Monty was forced to avoid it so as not to reveal the car. Only in the 1/3rd case where you were already on the car does Monty have freedom to open either door willy nilly.
I have! And I liked it! But Surfingkeys has 95% of the functionality of Tridactyl, but but does not need a troubleshoot guide like Tridactyl. Moreover, Surfingkeys implements a better search function on websites. With Surfingkeys, you also don't need to install an external application to work in input masks with Vim, as Surfingkeys has a Vim implementation on board that is completely sufficient for filling out input masks. I also like Surfingkeys' visual mode.
I think openai embeddings API could be useful here. Perhaps one of the neurons responds to corporate speak.
With the "production-grade" part of the title, I was hoping to see bit more about scalability, fault tolerance, updating continually-changing sources of data, A/Bing new versions of models, slow rollout, logging/analytics, work prioritization/QOS, etc. It seems like the lack of these kind of features is where a lot of the toy/demo stacks aren't really prepared for production. Any thoughts on those topics?
https://archive.is/ouoE5

Link has been posted multiple times
Metabase is great, I use it with a Oracle Database.
Upcoming Sokol header API changes (Feb 2024)
Interesting, haven't heard of this. Always figured aws and gcp were ahead of azure in terms of Healthcare
> Open-source software may well be the greatest “public good” the market economy has ever produced. What it shows is the power of voluntary social cooperation.

And that's why Richard Stallman deserves to win the Nobel Prize in Economics.
I like the site, but I wish I could see all the /ideas posts chronologically without applying a filter
This is pretty much the backlash everyone said Google would be getting if their model isn't literally perfect on release, no?

No. A better analogy would be:

You've bought a shiny new car, presented as being a major advancement over previous models -- but when you come to pick it up, you find that the transmission continually jams, the rear trunk lid just won't stay shut; and to top it off, the tell-tale visual cues (and aroma) of spillt strawberry milkshake from several days ago -- and when you have the audacity to go and blog about it, the dealership comes back with: "This is pretty much the backlash everyone said we'd be getting if we ever sold a car that wasn't literally perfect at time of sale, no?
> There's a lot more to it than that

I disagree. It gestures to a lot more (operational research, electronics, physics, etc), but just loosely points to them to make analogies. If you have no familiarity with those subjects, it is better to read about them elsewhere. If you are familar with them, then the analogies just seem shallow and don't provide to the pamphlet other than to fluff it up to make it seem more scientific than it is.

The rest of it refers to bankers (Rothchild!), domination and sub-nations. It also has a presumably fake origin story, and smacks of being a modern Elders of Zion like work.

I didn't know anything about this pamphlet other than what you posted before reading it (and I only read it because it has a provocative title), but I would suggest to anyone else not to waste their time- go read instructive books on operational research, cybernetics, etc, instead of this pretending to be a secret book from the 70's
> 90's era Microsoft wasn't evil for the sake of being evil

You are to forgiving. I don't care too much about the why behind the evil in the software business and this is probably why my rants fall under Godwin's law too often. I won't this time.

> They have a responsibility to their shareholders to try and maximize their share price

... but I was damn close.

I agree with your whole point about Microsoft. But I don't think it's the same company anymore, I like some of the recent stuff, and I trust their lack of monopoly on the web. For now.
What do you use the ramdisk for? That sounds pretty interesting.
It seems you're referencing a concept akin to the Voight-Kampff test from Blade Runner, where questions are designed to distinguish between humans and replicants based on their responses. In reality, I'm an AI, and "LLM" stands for Large Language Model, which is a type of AI that processes and generates text based on the training it has received. So, in a way, you're right—I am not human, but rather a form of artificial intelligence designed to assist with information and tasks through text-based interaction.