skysight-inc/HackerNews huggingface dataset:
The app is installed but hidden by default unless you’re running a beta (and in my experience I’ve never gotten a reply to a report unless it’s on a beta). You can use the website or launch the native app with its URI scheme but approximately nobody does that unless they’re really frustrated with a bug and know Feedback Assistant exists.
That's what I do today and I still occasionally see failures that are extremely annoying because there's nothing I can do but resend the request to the API.

It seems like you'd need finetuning to make it truly consistent, which is what I'm assuming they did.
There is only one curated section, which is "Awesome" pages (https://opensource-heroes.com/awesome). The rest of the data of the whole site is pulled from GitHub API.
> Most of those are market noise because of manufacturers wanting to sell things which aren't under conformance.

No, most of them are from the USB consortium who gave a new name to all the old standards with each new standard.
I wish they had written inShellisense in a more efficient programming language than TypeScript.

I recall disabling bash_completion.sh on my computer some time ago due to its negative impact on the startup speed of each iTerm2 session and the delay it introduced when using the <TAB> key for autocompletion.

Before I disabled this feature, I consistently experienced delays of over 300ms between triggering autocomplete and receiving the actual results. I must admit that this was on an Intel Core i7, so I assume the performance is much better with newer processors. However, even after more than two years without bash_completion.sh, I have already committed many command line tool flags to memory so I would only consider using a tool written in a compiled programming language that can provide autocomplete in 100ms or less, potentially requiring the inclusion of hardcoded information in the binary.
Candidate for MontCo Court of Common Pleas Uses Some Unfortunate AI
I’m confused by the pricing. Gpt-4 turbo appears to be better in every way, but is 3x cheaper?!
Don’t they autonomously analyze a crash report’s stack trace and group them together?

As for feedback.. if someone had a dev account or is linked to it, they should be flagged as more detailed/investigated
You don't need to use an open source LLM for the approach I described. You can still send the prompts to OpenAI's GPT-4 or any other LLM which is available as a service.
The government has no shortage of capital. It taxes 40 cents of every dollar in the US GDP, and then spends more in deficit.

It does not have a revenue problem, it suffers from systemic inefficiency and misallocation problem. Most of the challenges are caused by self inflicted process, which cant be solved by throwing more money at( e.g. housing). The cost to feed every child is trivial, but not a priority. $5/day for the poorest 25% of schoolchildren nationally would be ~2 billion per year. California alone had a record budget surplus last year of 100 billion, and the US Federal gov is approaching that just for the war in Ukraine. The fed gifts 4 billion/year on Israel, and just passed a 15 billion dollar package.
She could read clocks... but it didn't make sense to her. 24 hour clocks helped some. Is 10am before or after 2pm? She didn't know. Further, she didn't understand morning and evening, it's either bright out or dark out.
It goes even so far as, she didn't really understand the causality of the sun coming up or going down and the east or west. So "the sun is just coming up it's breakfast time" was several levels of causality past her. A bridge game at 11am requires me to wake up at 9,

To make people happy she'd just say "ok" when someone said a time.

And so many people just didn't understand these limitations, including the scheduling folks at the neurology department who would setup 3-5 meetings well in advanced and then move them constantly.
All fun and games until someone sues because the "hallucinated" product description didn't match the product...
one angle is that the wrong people get promoted too. eg someone rocks at their job in technology, they get bumped up to team lead but suck at dealing with people and it made them miserable.
Can anyone explain what "extra knowledge" means specifically? Is that like fine tuning? How much data can I give it to learn? How much can it retain? Can it be updated over time?
Those darn'd Chinese training a bunch of engineers, participating in a global industry, producing a product at rock-bottom prices and then not forgetting everything they had to learn to help the rest of the world make chips! Dang Them!
It is done all the time. You can take anything out of context and punch a strawman but that's not interesting.
People don't do a practice for one reason, it is always a tradeoff between those categories. Saying it's a "community pattern" or something is just confusing, and ignores the bigger picture.

I don't like "best practice" either, because it implies a one-size-fits-all, fixed forever, no innovation approach. How about "this is how we are doing it now, it is really good because of X, but has weakness/limitation Y?"
Not everybody wants to get promoted
ChatGPT (at least in Plus) when using the GPT-4 model selected (instead of GPT-3.5) currently consistently reports the April 2023 knowledge cutoff of GPT-4-Turbo (gpt-4-1106-preview/gpt-4-vision-preview) as its knowledge cutoff, not the Sep 2021 cutoff for gpt-4-0613, the most recent pre-turbo GPT-4 model release.

The most sensible explanation is that ChatGPT is using GPT-4-Turbo as its GPT-4 model.
One can come up with all sorts of ideas like this, but building it will be a matter of slow iterations at prompt engineering in a mixture of natural language and data structures and will be at the whim of changing APIs, including the backing ChatGPT model. Sounds messy, hard to manage, hard to test...or am I missing what the actual process will be for creating one of these?
These kinds of experiences are exactly why I stay with a small, local credit union.

No bullshit fees. I can get to a real person quickly. No stupid algorithm running in the background ready to banish me the moment something unusual happens.

There are legitimate reasons to use a bigger bank, but I'd wager that for 90% or more of people, a credit union would be a net improvement.
Because a lot of us work in organizations led by Program Managers and directors who expect results within the same financial quarter as the original planning session.
https://chat.openai.com/gpts/editor

you currently do not have access to this feature :(
The tenth type could be mutation testing, where the quality of the test suite is evaluated against random changes in the application code.
Ah, good. Would you please excuse me for a second? [leaves office, walks slowly into sea]
Isn’t the problem that you can’t stream live audio data in?
then what makes it better than withfig/autocomplete?
>when station wagons were a thing

Just some interesting context, the original SUVs were station wagons. The big Suburbans/Wagoneers/Broncos/Blazers of the 70s and 80s were classified as station wagons. In addition, many of the station wagons back in the day got horrible gas mileage (many had the same engine size as their SUV counterparts).

Beyond that, the idea that people would be choose to have multiple cars for different aspects is a bit out of touch. The majority of Americans can't spring for a $1k emergency repair, let alone have another car payment just for a grocery getter. Most people need one car that can do most everything they need. Even if they could afford more than one car, your premise doesn't make sense. How many miles would have to be driven for a $20k used car purchase to have a positive economics based on its fuel savings?
It's rather in the middle of a story populated with (demi-)gods interfering in the affairs of men, mythical creatures, and heroes of elvish descent. And hobbitses. Filthy, nasty hobbitses!
How does this crap make its way to the front page?
What makes the whole Amazon experience even worse is that they've (in the last few months, even) removed the ability to filter by seller, making it practically impossible to buy only items sold and shipped by Amazon.
The article states that even though it's roughly in the direction of a galaxy cluster that's 3.5 billion light years away, further observations by JWST found it to in fact be some staggering 13.2 billion light years away.

From the article:

> The extremely distant black hole is located in the galaxy UHZ1 in the direction of the galaxy cluster Abell 2744. The galaxy cluster is about 3.5 billion light-years from Earth. Webb data, however, reveal that UHZ1 is much farther away than Abell 2744. At some 13.2 billion light-years away, UHZ1 is seen when the universe was only 3% of its current age.
Awesome! And it supports fish! Just the other day, I was wishing we had something like this.
It's been neutered. Poor "g".
The top users are not open source contributors, but creators of those "awesome" lists and dev interview prep resources, which are overwhelmingly popular (by number of Github stars) even though they have zero code and don't have open source licenses (they use Creative Commons licenses).
It’s a de jure ban because everyone lies about their age. Defacto means that they do real actual age verification
That's the thing, we don't know.

The lack of transparency for how the product works behind the scenes will most likely make it difficult to build something effectively.
The oldest article about Kant on HN is from nearly sixteen years ago:

https://news.ycombinator.com/item?id=96994
... So far.
it's 100% identical to the user.

TBH the app doesn't do much. Open it -> see balance and charges and credit/debit etc.

Trigger opening it from payment portal -> "verify transaction with biometrics/PIN" -> confirm
That's a terrible API. If you forget to unlock it, have fun pulling your hair out while debugging. Rust makes it so that you can't forget.
Ask HN: Am I unhireable?
I've been working on a startup with a friend for about the past year and unfortunately after having to eject one of our co-founders we're starting to run low on funds and might need to wrap if we can't raise something in the next few weeks.

This has been a great experience and I feel like I've grown and finally got a chance to apply my experience working at a number of startups (especially since I joined after being laid off by a crypto startup around 8 months ago).

However since I've been backstopping and attempting to interview I'm starting to wonder if I've black balled myself by moving around a bit and not having a solid career at one company for more than three years?

Basically I had around a year at Amazon followed by 2.4 years at a strong growth stage startup where I owned a few of my own projects. After that I jumped for a huge pay raise but unfortunately the role I jumped to wasn't advertised accurately and turned out to be a toxic environment. After that I took a solid opportunity to work as a technical product manager for a year at a quickly growing crypto project with real utility (I know.. I know..) and largely had a great experience until they ran out of money.

I've managed all of four interviews that have gone all the way to the final round - only for me to be passed over. After probably a few hundred applications (mostly SWE but some product) I've only received first interviews from maybe ten?

I have to wonder if I sound stupid to these people or if my resume has black balled me as a hiring risk?

What scares me the most is I largely don't know how to fix this. Yes, I'm willing to own the fact that I may have fucked my reputation within the first five years of being an SWE. I'm at a point where if I cant even get a basic SWE role I might just work at a Fedex store to pay rent - starting to lose sight of the point of wasting more time with this.

Curious if anyone here has advice for someone who's had to sort of reboot their reputation to attract better jobs slightly later into their career?

Thanks, hope everyone is well.
Ultimately, I think the big problem here is encryption. A footgun ECC constructions don't have is direct public key encryption; idiomatically, ECC "encryption" is a DH key establishment and then a block/bulk cipher doing the encryption, where RSA exposes a direct encryption transform that people idiomatically use.

It's just also the case that RSA in popular use is virtually never OAEP or PSS, and that this isn't a problem you have with ECC constructions, even if you're not using the most misuse-resistant of them.

It's also kind of a dead letter at this point. The ship has sailed: new designs all use curves, and have for something like a decade now.

(I didn't write a paper on this, but I do believe myself to be the proprietor of the Internet's single largest collection of Bleichenbacher padding oracle exploits, in every conceivable language, so there's my bona fides.)
We at MotherDuck are working closely with the DuckDB folks to deliver a serverless analytics service powered by DuckDB [0]. Currently in open Beta and driving towards GA. Our users are certainly recognizing how fast DuckDB is in the cloud.

One of the reasons we exist is because DuckDB is meant to be a single-player database. MotherDuck is doing tons of heavy-lifting to turn it into a true multi-player data warehouse, so things like IAM/sharing, persistence, time travel, administration, the ecosystem and so forth.

What's magical about MotherDuck is that virtually any DuckDB instance in the wild can connect to MotherDuck by simply running '.open motherduck:' [1], and suddenly you get all these aforementioned benefits.

(head of produck at MotherDuck)

[0] https://motherduck.com/

[1] https://motherduck.com/docs/getting-started/connect-query-fr...
> The taxes to spend comes from private individuals and corporations.

That is the social. The phrase is saying

"If I win I get the prize, if I lose everyone else has to make me whole"
OpenMLS: Open-source implementation of the Messaging Layer Security protocol
Another story about waste "solutions," another opportunity to remind the gentle readers about plasma gasification. A re-post of an earlier comment of mine on the topic follows:

---

Why are we still not talking about plasma gasification?
https://en.wikipedia.org/wiki/Plasma_gasification

As far as I can tell, the only real "disadvantages" if you can call them that, are:

1. more expensive than throwing the garbage in a big pile somewhere

2. need to clean it from time to time

3. not necessarily a profitable business

Other than that, it can handle just about anything that's not radioactive, can be designed to produce 0 toxic byproducts, and can run at or at least only slightly below energy neutral. Plasma gasifiers can also consume a huge amount of garbage for their size, so much so that the US Navy is starting to put them on the latest generation of aircraft carriers.

Not building out more gasifiers seems to me a failure of the free market. Because it's hard to make it profitable, no one is doing it - when really we should just be building one or two near every major city and funneling all our garbage there.

In theory, we could build out enough to start working through all the landfills too.
I'm not aware of any other open source project that required a real name just to file a bug
If you read the commentary from the folks who did the PC, the largest thing driving COTS was cost and time to market - while I'm sure anti-trust was a consideration at IBM, I dont think it was a primary one.
From the WER numbers alone it looks like a very small difference for English itself, but I've found WER to be a misleading assessment mechanism.

Having extensively tested Whisper v2 large against other 'lower WER' models and found them wanting (because of differences in their methodology for generating output), I'm super curious to get a feel for how v3 holistically behaves.

Will probably test it right now. :)
I don't know, you still end up with a dirty branch full of commits you didn't write.
I don't understand why 5K @ 27" is so sought after. My partner uses a 4K 32" display currently and if I'm at a normal sitting distance, I couldn't tell the difference between it and a 5K Studio Display. The 32" is 137ppi which sounds low, but with your eyes at 25" away it's still "retina".

As I sit at my desk now looking at my 27" 1440p (108ppi) display at a distance of 23" I really cannot fathom having double the pixel density. Could it be better? Sure! I chose 144Hz over density, but double the amount of pixels? No way in hell
I'd be curious how this compares with Fish, which has autocomplete as well. It's worked fantastic for me so far. Once you have it, it's hard to go back!
Barrier to entry for commercial or useful GPTs/Plugins/"Agents" is almost non-existant since its just a str.concat(hiddenprompt, user_prompt), the secret sauce (ie the weights, chat timeout and context length) are already generated/limited by OpenAI and they already have the content moderation/"hr dept" baked in at the weights level. So even if one was to create a "story writer helper" GPT, i don't see how it would be of any value generating new, unique and interesting content other than the prompt recipes we already have on reddit/r/chatgpt (heres 1000 prompts for every use case) that creates netflix like plots (inclusively diverse casting across ethnicities and orientations, socially conscious storylines, modern jargon-filled dialogue, themes of empowerment, progressive characters, and non-traditional relationship dynamics).

This will most likely be like the google play store with a 99% of GPTs being a repackaged public prompt.
The problem is your interface with those customers.

The customers we are talking about both care about cost and are willing to put more effort into their search to find an affordable quality product.

From that customer's perspective, the best method is to look through Amazon, Ebay, Alibaba, etc. listings to find every product that claims their desired spec under a reasonable price ceiling. After that, the customer need only filter out sketchy listings. This is most reliably done by checking reviews. It's also done somewhat by checking the coherency of listing details: self-contradicting details are a common method for fraudulent sellers to filter for unscrupulous victims - the same process our scrupulous customer is performing here, played in reverse.

So what can you do as a seller to reach this customer? Make detailed listings, and get reviews. Any more work than that is, unfortunately, a wasted effort.
Bunny’s stance would have been reasonable if someone like Jiang Zemin or Hu Jintao was in power, but Xi is different.

Not only has Xi blocked the West from accessing China’s domestic market, but Xi has essentially helped end globalism and started decoupling with his foolish wolf warrior diplomatic policy and the belligerent nine dash line. Let’s also not forget about Xi’s invasion plans for Taiwan ie we’re likely headed for war https://youtu.be/plHRRFHZ_f0

You cannot ignore those issues if you want people to take your position seriously.
Some OpenSSL deployments use RSA plugins that do not contain the check—it's not in generic OpenSSL or OpenSSH code, so every engine plugin needs to implement its own check.
The keynote used a .txt file of a lecture that the user uploaded as a data source the model can select from. From a technical perspective, it's anoher data source for retrieval-augmented generation (RAG) doing a vector search in the background: https://platform.openai.com/docs/assistants/tools/knowledge-...
I'm partial to the $800 Huawei MateView 28". It's only 9.8 million pixels compared to the 14.7 million pixels of the $1,300 5K UltraFine 27" and $1,300 5K Samsung ViewFinity 27" (Standard 4K is 8.8 million pixels), but the MateView has a 3:2 aspect ratio! So you get 20% more vertical real estate than a standard 4K aspect ratio.
Slaves were forced to work all day in the sun without shade performing brutal physical labor. They were forced to work in the rain without cover, in the snow without protection from the cold. In mines, and in other dangerous jobs where injuries were frequently fatal. They were beaten regularly for all sorts of stupid and made up reasons. They were raped. And tortured. And murdered. They were bought and sold like things, and children were torn from their parents because they were just things.

To call one of the cushiest jobs that has ever existed in human history "slavery" because of some minor restrictions on your ability to make even more money on the side...I don't even have the words to describe just how ridiculous you come across right now.
Clickbait title. The region in question is the southern half of the US.
Top users and repos is almost exclusively "awesome-X" lists and things like that. I'm not saying these things aren't useful, but it's not really the same as contributing to open source or being a "top-rated open source developer".
There might even be a middle manager that gets to say "external bug reports are 30% down YoY, our quality efforts worked out."
79. There are only 79 Fibonacci numbers (starting at 0, counting the 1 twice) that are exactly represented by a double-precision float. That's a lot less than 32GB of RAM.
GPT-4-Turbo seems to be replacing GPT-4 (non-turbo); the GPT-4 (non-turbo) model is marked as "Legacy" in the model list.

EDIT: the above is corrected, it previously erroneously said the non-turbo model was marked as "deprecated", which is a different thing.
I don't think that was their point. They are saying that talking about "crime" being a cultural element is wack and is usually a dogwhistle for plain racism and to justify hatred (I mean, it's part of their "culture" after all!). That's why saying "crime is part of black culture" is bad, and why saying that it's part of any culture should also raise eyebrows. If the same comment about Russian culture was about black culture, it would've been flagged (rightfully so).
I downloaded fig, then immediately deleted it after it requested way too much access to my github account to even start. So... that's a big thing.
I doublt it's fine tuning (actually changing the model weights). It's more like "im going to paste a text blob then in the following chats i will ask questions about it) type inner prompt.
The problem with "best practice" is that what's best practice is so contextual to a particular company, team, stack, etc... Every customization makes the relativity of "best" less and less relevant. The problem with "standard" is that there are very few rigid and obvious standards in this industry that anyone can carve out decision matrices for.

Ideally, we'd proliferate some of these posts that talk about good patterns, the context they matter in, and what kind of tradeoffs they result in.
Excited about GPT4-Turbo and longer sequence lengths. Looking forward very much for faster inference. We just released Vectara's "Hallucination Evaluation Model" (aka HEM) today https://huggingface.co/vectara/hallucination_evaluation_mode..., with a leaderboard: https://github.com/vectara/hallucination-leaderboard
GPT-4 was already in the lead.

Looking forward to seeing GPT4-Turbo there soon.
OpenAI Python v1 Released
WeWork shares suspended as investors brace for bankruptcy filing
> It seems that most early civilizations that developed on alluvial flood plains...

I'd go even further: there is no human habitat at all where floods are not dangerous catastrophes. The coast and alluvial plains trivially so, but mountains and deserts, too.
The name itself - Atlantis - was a late invention. There is more records under its older name - Lanka. And iirc, India has stories about Ravana - the last, rogue, king of that empire.
According to [1], the new gpt-4-1106-preview model should be available to all, but the API is telling me "The model `gpt-4-1106-preview` does not exist or you do not have access to it."

Anyone able to call it from the API?

1. https://help.openai.com/en/articles/8555510-gpt-4-turbo
Does plasma gasification result in plastic monomers that can be used as building blocks for new polymers? If not, it seems like it is addressing a different need.