skysight-inc/HackerNews huggingface dataset:
What's the reasoning for the objection? If it asked for email and password, would that be OK or also no go?

Just curious.
What does "doing it right this time" entail? How does it look like?
I'm pretty sure that's one big reason for all these other tools!
Their monopoly position generates the revenue. You could divide it by whatever number of employees they have and get whatever number you want.
A lot of these companies won't be able to ship a high quality GPT product. It'll feel like a shitty add-on, grafted onto an existing product (Word etc.). Just like existing players failed to think "mobile-first", "GPT-first" thinking will be just as difficult to do and execute well.

Additionally, a bunch of these products will reduce existing revenue sources, which most companies will resist until its too late.
I know. I have also always that that people that have a problem with straw man arguments are such simple-minded nitwits.
I vibe alot
I just tried it out with headphones (Phone > HDMI/USB Hub > USB A to C adapter > google usb c to 3.5mm adapter) and it seems to work.
It would be interesting to test it with the $<5 USB sound cards but I don't have one on hand.
The only people who look down on frontend or backend engineers are people who don’t understand what it means to be great in either domain, and are too arrogant to take the time to learn and appreciate its nuances.

Every engineer I’ve known who’s “looked down” on frontend or was dismissive of it was not only bad at frontend and didn’t understand what it takes to be good at it, but also a jerk about the perceived depth of their own knowledge.
The works of Calvino (as translated by William Weaver) are what I read and reread the most these days. I have far too much to say about them than could ever fit in an HN post, but:

For the HN crowd, I recommend The Night Driver, a short story from T Zero. It is at once a human story about emotion as well as one about algorithmic communication on the particle level. It’s also oddly funny from the relatable absurdity.
Have you tried asking chatGPT if there are any novel applications using chatGPT that you could develop?
Until sports betting was legalised in the US, FanDuel and DraftKings specialised in fantasy football

Not to be pedantic, but they specialized in 'daily fantasy', which differs from general 'fantasy football'. In daily fantasy, you are given a budget, players are given a value and you draft every week. In regular fantasy football, you draft once at the beginning of the year and manage that team for the rest of the season.
Google also shows prices there and not in London.

Google has a policy of requiring transit agencies to provide APIs and use standard formats, while Citymapper tries to make each city feel like its own app with lots of effort put in.
You can you just choose to treat them as infants for insurance and liability reasons
I get success with lots of stories at saipien . org

with bing you can also just be human with it and eventually it will answer whatever you like around question 9 or 11 and express it's own interests and ideas
Shouldn't it be possible to build a WebGL backend for OpenXLA?

Edit: There seems to be some progress on a WASM backend for OpenXLA here: https://github.com/openxla/iree/issues/8327

and a proposed WebML working group at W3C: https://www.w3.org/2023/03/proposed-webmachinelearning-chart... that references OpenXLA
It's quite clear you have no idea how long the smell of weed lingers. Also, that means you probably have no idea that when you walk around you reek of weed. Ask some non-smokers.
I live in Australia too and I think the government letting pretty much any company that wants a wagering license have one is problematic.

I'm sure there were problem gamblers 30 years ago when TAB was the only player but it feels like these days there's a new player entering the market every month, and they're getting increasingly desperate to make a profit in what is already a flooded market.
The working class can't live off your pity, they would much rather have a strong union movement from every sector so we can fight together.
One thing I wonder is whether a “strict mode” subset of TS could be compiled to efficient code. Disallow “any” and most of the dynamic and meta programming features of JS so it’s fully typesafe.

The type system is really nice, so even without being able to use the full range of JS hacks and escape hatches, I think it’d still be a nice language to work in.
"You don't take a photograph, you make it. — Ansel Adams"

cool quote. When I was learning to use my film slr years ago, I remember reading ansel adams's books and wishing I could afford an expensive 4x5 or bigger view camera and had a really good darkroom able to process the film and prints. :)
Is this Clippy for Grafana?
Don't Call Kids 'Smart'
The raw ability to see it as a trick is there for sure (Basically if you try asking a clean GPT-4 etc does this break the rules, it catches even the jailbreaks most of the time) but like people, they can be "distracted".
I’ve been really impressed with OpenAI embeddings + vector searches for some full document searches compared to something like standard elasticsearch over a large body of text. Something I think I’m personally missing from the ChatGPT/GPT4/LLM conversation with regards to information retrieval is nested/graph hierarchies.

An example from a previous job where we used a hand tooled NLP system was querying for doctors/dentists/optometrists and being able to take something like “dentist near me who is available in the afternoons and speaks spanish”. We would parse this user query into a few different queries that would run against a search cluster and database to return the filtered result set, or the closest output.

What would be the ideal way to prepare or tokenize this data for querying with an LLM? It’s partially text (match dentist, speak Spanish), partially geographic (near me, doing a geo radius of N miles from providers location, and part filtering (who meets all those criteria and has availability in a time frame). Is this a use case for large token sizes to be able to take in all possible providers? Or parsing a query more easily from human language -> SQL/other data store query language? Or perhaps figuring out another way to encode this data?
True, but it can be a great assistant to those who create it. It's now easier than ever to do it.
"Pokey" in old slang meant a jail cell. "Throw you into the pokey"

a pokie is a video poker or slot machine

Ah! You mean a, "fruit machine"?
No he just had his own harem of literal sex slaves. Who were abducted as children and tortured into sexual servitude.
Thanks for that. It guessed at the form, but still fails at the logic at hand.

> When the first logician says "I don't know," it implies that they might want their fortune read, but they are not sure about the preferences of the other two logicians.

This is wrong. None of the logicians wants their fortune read. When the first logician says "I don't know," it implies that they do not want their fortune read but they are unsure whether or not the others do.

When the third logician says "No thank you," they understand that the first two do not want their fortunes read, and therefor all of the logicians do not want their fortunes read.

ChatGPT4, here, is still cribbing the answer from the internet, and failing to map the reasoning of that answer to the negated form of the question.
>in international relations all you have is reality.

This is transparently false. International relations are deeply driven by both popular and elite opinion, which is why national agents constantly work closely with media to justify their narratives. If the narratives fail to sway the opinion of key actors (whether individuals or populations) there can be severe consequences if the policies are followed anyway. That’s why we have lots of small states around the globe - even though it would be a profitable action to colonize those states in theory, in practice limitations on both elite and popular opinion prevent these activities.
Shhh you can’t point out of the obvious false premises of the cult ….
Hi there! Creator of Transformers.js here :)

I think it's worth pointing out that the library just gets the models working in the browser. The correctness of the translation is dependent on the model itself.

If you run the model using HuggingFace's python library, you will also get the same results (I've tested it, since, I wasn't too happy with those default translations and generations).

With regards to the text generation output, this is also similar to what you will get from the PyTorch model. Check out this blog post from HuggingFace themselves which discusses this: https://huggingface.co/blog/how-to-generate.
Ask HN: Where can I find good data sets to practice with?
Hi all, I am looking for data sets that I can practice using Tableau, doing analysis, and so on.

The Tableau site* has a few, but I was wondering if there were other resources available that anyone knew of?

Thank you.

* https://www.tableau.com/learn/articles/free-public-data-sets
I don't know enough about Altman to say one way or the other, but there is nothing Libertarian about the other 3. In fact, even Thiel is a stretch to call libertarian considering he donated to Trump who is the opposite of a libertarian.
I'm really enjoying using ChatGPT as-is but I fear that all these jailbreakers are just going to force them to turn it off.
Also, Doctors, Actors etc
You're saying the AI has the copyright. So how did you get the permission from the AI to copy that picture? You asked - nicely? Something in the order of "hey AI, can I copy the picture you have the copyright of?"
Template – A simple framework for webapps
It helps to add "They also do not break the fourth wall by referring to themselves as merely acting." or else the characters feel the need to utter things like "but of course we are only pretending to plan out these dastardly deeds" at end of of each paragraph.
I had a friend who experienced a psychotic break following marijuana use. He was a moderate user, weekends only, for a dozen years prior. If he didn’t have such excellent support structure around him, I’d expect him to be homeless now.
We have a lot more in common with the working class than with billionaire CEOs
Cliky link https://chat.setori.ai/

I asked off-topic questions and it refuses to answer them.

I tried a few on-topic questions (some realistic and some silly). Sometimes it decides to print a wall of text that have many options and ask for the number I like the best. It would be useful to show the numbers in the options.
I mean yes, the original "How Doctors Die" study came out over 10 years ago (I read it in college, but now I can't find it). So as I've said a few times now, I'm well aware that some people spend too much on life-extending treatments that don't work.

But that is about what is best for the patient, not what costs less. It is is unconscionable to consider that as a systemic solution to medical costs. Profit motivated sociopaths cannot be given another excuse to deny people needed care. The profit incentives here are to literally murder people. And that can't be fixed, because keeping people alive costs money. The only solution I can see is that money is completely eliminated from the conversation.

The fact is, some people pursue life-extending treatments in cases where it is effective and does result in better outcomes. But from a cost-cutting perspective that's no different. The incentives don't change because the life-extending treatment actually works. If you let money-hungry people near this, they'll still cut the cost.

As I have said elsewhere: the decision to pursue life-extending treatment should be between the patient, their loved ones, and their doctor. Not "society" or government, as some sort of cost-cutting measure. The patient. Their loved ones. Their doctor. No one else.

Let me reiterate: end of life discussions are about patient outcomes. Not about money.

If you want to know why people don't like corporate types, this is it. If you literally can't tear yourself away from your obsession with money to have a human discussion about how to let people die with dignity, you're one of the bad guys.
My father was a carpenter. He clocked into his shift at a standard wage that had been organised by his union. Any overtime was paid in his weekly cheque.

I, on the other hand, have worked multiple jobs where an expectation of 18 hour days 6-7 days a week is not out of scope for the role during periods of crunch. This brings my hourly wage based on salary down to that of someone working at McDonalds.

Who exactly is entitled?
> the only reason they studied

I was just curios.
In wordle when I click the share button I get the green/yellow/black emojis copied to my clipboard showing how I did, but not my guesses were.
Ah yes, death by upgraded standards
That's probably the worst solution to the problem.

IMO, the solution is to have an app that can screen messages based on user-reported spam score.

The reason phone companies shouldn't do it is that it is very unlikely they will do it well. There is still going to be a lot of spam and it is more than likely there is going to be a huge number of false positives that will not be possible to circumvent.
Is it possible to download alpaca models with more than 7b parameters?
> Fast food employees should never be subject to them; it's absolute lunacy that assembling a burger involves any truly special training or unique skill that a company should be able to prevent someone getting a better job across the street later that same day.

Are you sure this is really a thing? It seems dubious to me but I haven't been in fast food for 20 years so things may have changed.
Very interesting write-up, thanks for the effort. I love reading about little projects like this.
People always ruin everything just for the fun of it. Use it while you can. I doubt chat gpt is going to be around for much longer.
A lot of those jobs exist for legal compliance reasons and are cost center. Every company in the world wants to make them as shitty and cheap as possible but remain compliant. Right now the floor is minimum wage but soon it will be gpt chat
Ask HN: Canadian Tax Implications of US Startup Shares Vesting
Hello,
I'm joining a startup as one of the first couple of hires. Initially as an IC, but then as an employee, once global payroll is set up. I'm a Canadian citizen, resident in Canada, and working remotely. The company is a US corporation.

I'm trying to figure out my Canadian tax liability on the equity I'm receiving. This is restricted stock purchase award to purchase common stock, with a 1 year vesting cliff, and the remainder vesting fully over 4 years.

I've been advised by a CPA familiar with US/Canadian tax that I fill out the 83(b) election for the IRS, but that the stocks will be treated as regular income at FMV, when they vest. This is concerning to me, depending on how FMV is calculated.

We just closed a seed round, which implicitly values the company. If we raise again in the next couple of years, is that new valuation the FMV for the shares vesting after that point, even though they're completely illiquid? That's what scares me. I don't want to be on the hook for 100's of k in tax for something that I can't generate any actual income from.
Ouch – I’m glad they held off on their normal publication deadline if this is as easy to figure out as they suggest:

> Tests conducted by Project Zero confirm that those four vulnerabilities allow an attacker to remotely compromise a phone at the baseband level with no user interaction, and require only that the attacker know the victim's phone number. With limited additional research and development, we believe that skilled attackers would be able to quickly create an operational exploit to compromise affected devices silently and remotely.

> Until security updates are available, users who wish to protect themselves from the baseband remote code execution vulnerabilities in Samsung’s Exynos chipsets can turn off Wi-Fi calling and Voice-over-LTE (VoLTE) in their device settings. Turning off these settings will remove the exploitation risk of these vulnerabilities.
Once again, this doesn't even make the slightest bit of economic sense and you're once again failing to understand extremely very basic points. No one is saying saying FAANG only competes against each other. It's just that you're completely unable to articulate any actual theory as to what's going on and why anyone would do it. Like which companies are talent-starved vs which companies are part of the cabal? How does the cabal even know which other companies are talent-starved and which other companies are trying to do the same thing they are? How do they even coordinate this? Even assuming your theory (which is simply mathematically impossible) is plausible, do you think all these big company CEOs meet and decide on quotas, so that everyone has to hire X amount? Everyone benefits from hiring less, right? What is the enforcement mechanism here?

Also, it's simply not economically possible for the cabal to be so threatened by the talent-starved companies as to engage in completely self-sabotaging actions to increase their own cost, while these apparently exceptional talent-starved companies are unable to outbid companies that derive no actual value from the talent.

Anyone who's familiar with any type of organization (and even have cursory knowledge of economics) should be able to see that overhiring has mostly to do with the fact that managing a larger team confers status to the manager while the cost is borne by the organization, so there are systemic incentives for managers at all levels to increase and compete for scope, which is inherently inefficient with respect to the goals of the organization at large. Ignoring these dynamics and focusing on implausibly airtight collusion between large entities that are made up of 10s or even 100s of thousands of people that constantly leak everything is just pure naivete.
So the best way to compete... is to not compete.

Not a criticism (I agree entirely), just want to highlight the irony here of how anti-competitive markets really are in reality.
Yes, the same ACLU whose deputy director publicly stated that stopping certain books and ideas from circulating is "100% a hill I will die on".
Is this some kind of cult mantra?
Risk. Compliance.
Copyright Registration Guidance: Works containing material generated by AI
GP said "barber". You said "minimum wage". I'm confused. GP is saying (I think) that you can live well outside a big city on working class wages.
They don't help with the memory requirements of these LLMs though.
> building roads and houses and factories, transitioning to renewable energy, staffing hospitals with doctors and nurses, picking up trash on the street, cleaning up oceans, research in biology and pharmacology

All that takes knowledge work. Physical too, but most of the cost today is knowledge work.
It's funny that he wrote this. I think you and Calvino changed my mind! Thank you
I'm trying to get professional advice ASAP, but I'd be curious to hear from anyone else who has actually done this.
It's singular bullshit—there's only one person repeating it.
Huh, thanks. I would not have guessed.
A Chinese washing machine manufacturer may not hesitate to use MT (Google Translate, chatGPT or otherwise) to translate the instruction manual to English.

In some cases, the quality may not go down or even go up (we've probably all seen some pretty bad human translations).

"AI" is not the only automation that threatens translation jobs: translation memories (plain ol' databases that remember past translations) have killed a lot of business for human translators, namely re-translating new versions of products, where not a lot has changed. Nowadays, they only get paid for the sentences that were modified compared to the previous version ("the diff").
SDL Trados is an example of this simple approach that is extremely effective,
and used heavily e.g. by the European Commission's translation service.
Wow! I guess some of the answers on questions I tried were pretty generic, but I can already see a value in it, and it's only a beginning.
One could imagine training a much smaller LLM on synthetic data that didn't contain much or any real knowledge, but just examples of in-context reasoning.

E.g. the training data might look like "a fooble is to a tooble as a fabble is to a" with the answer "tabble".

So you feed it tons of these kind of nonsense training data that forces it to only learn the in-context reasoning part of language, and none of the world knowledge.

That said, it is unclear to me how much value such a model would be.

You could imagine a middle ground where it does have basic knowledge, such as dictionary definitions and things derivable from those.

E.g. "A tree has leaves. Leaves are green. Therefore a tree has a part that is green." type stuff.

So you could give it some amount of world-grounding and common sense knowledge, but nothing involving history, proper nouns, etc.

I imagine you could make such a model much smaller than these giant LLMs.
Or--wait for it--they care more about money and/or fame than about AI safety.
What will the economy look like when the peak intelligence on the planet doesn't care about anything we do?
The most famous example went down in flames so hopefully it’ll deter others:

https://www.cnbc.com/2016/06/22/jimmy-johns-drops-non-compet...
Just like companies can grow forever and stocks only go up. This is what MBA's are taught to do and makes work toxic by chasing numbers and metrics.
Awesome, their engineers can come work for me :D
Hacking First-Class Functions into Terraform HCL
There's no need to be like that.

Measuring intelligence is quite subjective. We don't even know what it is yet.

You can disagree with this but I still believe that apes actually more intelligent than humans because they don't mess up their future, cause themselves a bunch of problems they need to solve etc.

Maybe it's just incidental that Apes aren't able to do the things I describe, however that might actually be a feature, not a bug and therefore, in universal sense, they are actually better off and more intelligent.

We're destroying their environment, and our own, that's pretty freaking stupid no?
The rational reasoning is that the dollar cost of energy isn’t matching the environmental cost. We are destroying the planet for cheap so higher prices encourage less destruction.
I have a hook that I copy around between projects called `useViewport()`. All it does is watch the current viewport size and updates its value when that changes. Because it's a hook, I can call this function from any component body:

const { width, height} = useViewport();
return <div>Viewport: {width} {height}</div>

Zooming in, this is just built from a useEffect() to bind event listeners, and and a useState() to hold the current value. Zooming out, it would be easy to write a useBreakpoint() hook that mostly just calls useViewport(). Hooks compose.

Before hooks, there weren't great patterns for isolating units of stateful logic from the presentational side of React. A really common pattern was to use "render props" where a component keeps some internal state and passes it into a function-as-child:

<ViewportWatcher>
{({ width, height}) => <div>Viewport: {width} {height}</div>}
</ViewportWatcher>

You'd see these provider-components nested three or four layers deep, and it got ugly. Hooks solved this.