skysight-inc/HackerNews huggingface dataset:
I'm not sure that limit is meaningful. Suppose that there's a system with the approximate reasoning ability of a person, but it doesn't forget things and it has studied every textbook ever written. Would you say that it's only as intelligent as a person?
There's a joke Canadian political party that proposed decades ago to build a giant sloped bike path across the country so you could "coast from coast to coast". I wonder how much that would actually cost.
I don’t think you’re intending to impute intention, it’s just an implication of statements you made: “making stuff up on the spot” and “bullshit generation” vs unknowingly erring—these are all metaphors for human behaviors differing in their backing intention; your entire message changes when you use some form of “unknowingly erring“ instead, but then you lose the rhetorical effect and your argument becomes much weaker.

> that's not even remotely true and if you've worked with these technologies at all you'd know that

I have spent a good amount of time working with llms, but I’d suggest if you think humans don’t do the same thing you might spend some more time working with them ;)

If you try to you can find really bad edge cases, but otherwise wild deviations from truth in a otherwise sober conversation with eg chatgpt rarely occur. I’ve certainly seen it in older models, but actually I don’t think it’s come up once when working with chatgpt (I’m sure I could provoke it to do this but that kinda deflates the whole unpredictability point; but I’ll concede if I had no idea what I was doing I could also just accidentally run into this kind of scenario once in a while and not have the sense to verify)

> If I'm talking to a human I can make some reasonable inferences about what they might get wrong, where their biases lie, etc.

Actually with the right background knowledge you can do a pretty good job reasoning about these things for an llm, whereas you may be assuming you can do it better for humans in general than the reality of the situation
Pay equity cost this company $15M. It was worth it
I wish Terminal supported this in macOS.
ESG is such a money maker though, how could this happen. /s
Information+for+Webmasters
Building a ridiculous straw man isn't dialogue.

You've been spoon fed the answer over and over, but you still do things like pretend the only options are 100% wind or 100% solar, and pretend there is zero flexibility in load. Try adding existing hydro, existing flexible loads and w2e to the highlighted parts of the paper you're reading rather than only looking at the corners of the graphs.

Or try doing the actual math with actual reality which isn't the bizarro absolute world of a single generation technology where EV owners prefer to charge at precisely 5pm, pay 10x as much and sit around for 20 minutes rather than plugging in while parked you've invented.

Then try not referring to an offhand comment by a serial liar as some kind of argument from authority.

Or try having a single shred of integrity or honesty or respect for anyone around you.
That does not, to me, automatically imply that an "AI" lawfully regurgitating copyrighted content is a "data mining purpose".
There are many valid arguments in favor of location-based pay, but the one you are bringing up – that people in poorer regions shouldn't be paid the same as rich ones because then they'd have more spending money than their neighbors and that would be bad – isn't one of them.
I wish the regular Terminal app had fast sixel support.
But you need 5x as much wind and solar because you will have to store it in the form of hydrogen for 50-80% loss in round-trip back to electricity

There will never be enough batteries and hydro storage in the world.
I was under the impression that the submission title had to match the title of the linked page/paper. Agree this is a much more relevant summary/title.
I expected this to be at least 20 years away.
There are headlines where the CEO takes $1 in salary, but realistically those are few and far between, and the CEO is usually well compensated in stock options and company jet usage.

https://en.wikipedia.org/wiki/One-dollar_salary
I don't think it should be nationalized. However, I do think the Treasury should just print the dollars, and buy OpenAI, etc and all profits go back to the American people.
Being a great teacher makes your school better which raises not only your rent but the cost to purchase a home in your area.

Land ownership beyond the home you live in is effectively equivalent to a privatized, purchaseable license to tax others.
Don't get me wrong - I said this in my own comment on this post - I'm glad they're transparent and that they're paying people a living wage given the risks of a startup. I just think they're overselling what this achieves.
Microsoft signs another Call of Duty deal in bid to impress regulators
Stability is expensive. SVB preferred taxpayers pay for it
A careful look at SVB's balance sheet shows why deposits were so flighty, and why bankruptcy was in the cards by the end of last year.
We don't even have the images needed, especially for unsupervised learning.

A chest x-ray isn't going to do the model much good to interpret a prostate MRI.

Add in heterogeneity in image acquisition, sequence labelling, regional and site-specific disease prevalence, changes in imaging interpretation and most importantly class imbalance (something like >90% of imaging studies are normal) it is really really hard to come up with a reasonably high quality dataset with enough cases (from personal experience trying).

With respects to training a model, IRB/REB (ethics) boards can grant approval for this kind of work without needing individual patient consent.
Said by the same people advocating for testing diseases in people jailed, that is not a sickening idea at all.
> BeetleB's Law of DRY: Every article that complains about DRY will be a strawman argument.

Counterpoint: Every article that defends DRY will be a No True Scotsman argument.
To be concrete, I've heard numbers like $50k being thrown around.
Great, you've just boiled down how online services are making money from their applications. Company x online uses x popular tactics for making money off of the services they provide, shock.

It's a bit of a boring story really.

Yes AI is 'so hot right now' so why not leverage it? It's hot for a reason and maybe just maybe, it is actually beneficial to the product you provide, so why wouldn't you implement it. I can see another angle if they didn't where people would start to say Duolingo is starting to become dated, due to lack of features such as AI/ML.
Imagine AI grading.. you can't pass till you meet its filter. Want to write something WOKE.. nope.
As a founder, I honestly wouldn't have expected this to be legal. AFAIK, startups aren't allowed to co-mingle salary + healthcare benefits like that.

E.g. you're breaking the law if you reimburse someone's healthcare plan directly or allow them to expense a health expense, even if you classify that as additional income for them, as opposed to having a dedicated HSA account.

Do you have a source? I'd be super interested in how it works, and I definitely may be wrong on this (I hope I am).
We may use computers as a tool to help us solve it, but nonetheless it takes a conscious mind to understand the conjecture and come up with rational ways to reach the solution.
How dare you try to make money to pay your employees
I've been strongly considering adding them to my DJ setup. Looking to ditch my super outdated EFX-500 and want to stay away from gear that's common DJ effects boxes. I also like the idea of having one item that does one thing well, rather than an effects box with everything under the sun.

Anyway, I'm done with this movement. Time to flush and shower.

... we are supposed to be making Reddit-like posts in here... right?
The aggressive data retention requirements for the Docker client was the last straw for a lot of enterprises.
This is a fantastic example of _framing_ - how what's generally interpreted as a positive good can, with the right changes to presentation, be re-framed as a negative. The more classic framing example is a child tax credit (generally seen positively), which doesn't substantially differ from a childlessness tax in other ways than how it's framed.

For more information on that topic and how it's frequently used in arguments like these, I highly recommend _Thinking, Fast and Slow_ by Daniel Kahneman.
People either pay more for a haircut or don’t get a haircut
Lol no. Nuclear usually is used to generate baseload and often loses a fortune.

The amortized capital costs are so high that many of these plants get shut down because they lose money. The HN pro-nuclear response is of course always “well, if we didn’t have [regulation] or could build some new nuclear tech everything would be awesome”.
That doesn't mean anything. If I'm judging if you or GPT-4 is more sentient, why would I choose you?
Own web client[0]. Click the date title for yesterday.

It was handy having all the SVB stories grouped separately.

[0] https://hackerer.news/
There’s really nothing to see here. WSJ wrote some idiot opinion piece, a slab of red meat for the base, and now VICE is attacking it, a slab of blue meat for the base. It’s the same as when some idiot left news outlet runs some idiotic piece and FOX makes fun of it on their shows.

Basically a media event about media events… much ado about nothing.
Is this being a little disingenuous? Obviously the CEO is going to get more equity than other folks, regardless of when they joined. And we all know equity is the real difference maker in compensation in SV / faang / etc.

Feels a little publicity stunty / PR-ish.

-elromulous the curmudgeon
>A doctor can put an entire patient's medical history in the prompt

HIPAA violation https://www.hhs.gov/hipaa/for-individuals/index.html

>a lawyer an entire case history, etc.

lawyer client confidentiality violation https://criminal-lawyers.ca/2009/07/31/the-lawyers-duty-of-c...
Cargo Cult in Software Development
It's no problem to put model's architecture and even some python code into the generous 32k context window, the real problem seems to be as you say "awareness" - at least the facet of it that'd allow to answer complex novel questions.

For me the slightly positive takeaway from OpenAI's paper is good uncertainty calibration of the base pretrained GPT-4. It could be interpreted as one example of "awareness" of its inner workings.

Of course it's hard to say much about the model we don't even know architecture of, not to mean such luxuries as access to weights... Meta's LLaMA release did more to democratize deep learning than OpenAI's GPT-4, that's for sure.
I remember when I bought my first house someone told me to make an appointment to get the cashiers check for the closing day.

I assume it was semi related as you want to be sure they are ready for you / have the money on hand for you to issue the check.

Not that they wouldn’t have the money but depending on some else(s) showing up looking to empty the local branch inadvertently… you want to be sure they got you covered.
ive created a twitter account for people to follow to organize around this issue, talk to each other and organize political action. giving out my email to so many people is becoming untenable so please contact me there. im always excited to even encounter someone who sees the issue this way let alone get to chat. thats how few of us there are apparently. @stop_AGI
We'd be 15-20 years further down a dead-end, possibly.
95% of the population makes less than $191k, though.
Given that these are the deepest securities markets in the world, why not string out the sales over a few day's time so parties smaller than megabanks could bid, presumably higher?
Those low margin businesses stay low margin, but with higher prices to reflect their higher costs. I don't know of any city in the world that doesn't have a hairdresser, even if it's expensive (and in that case it's proportionate to the rent).
$191k is a HUGE wage for A LOT of people. If you're scoffing at that you need to realize you're living in a bubble. Outside of Silicon Valley that's even a huge wage for a dev.
Not in the way you're accusing them of.

> I assume they are all giving every employee the same % of equity as the founders? No?

And then in this latest comment, you're again clipping off the part that pretty succinctly addresses your original question.

> ...but in short, equity compensates for risk – and in a startup, risk reduces over time: the first employee takes much more risk than the hundredth

So, connecting this back to your original question, no, they explicitly answer that by saying they do not give every employee the same percentage of equity as the founders or earlier employees.
Your personal experience doesn't permit you to make sweeping generalizations about "most people"
> It seems pretty inarguable that some people are using the site less. I'm one. In order for overall usage to remain the same, there needs to be people making up for that. Do these people exist? Who is using the site more because of Musk? I'm honestly not sure, because if they do exist, I don't follow them.

I'm using the site more now. Japanese twitter feels a lot more natural and nicer than it did pre-Musk.
Renewables require lots of land. In the United States we have unlimited land. People nostalgically want that land to consist of pretty family farms, but 50 years of policy put them all out of business.
Instead you have legal concerns when you are re-licensing code you don't know where it comes from.

Someone could have published a snippet of code with retained copyright (not FOSS) and GPT-4 slurped it up, splitting it back to you and somehow the law firm representing the author comes across it.
That's cool and all, but can it do "in this existing code, please amend this feature"? Also useful, "please cover this code with meaningful unit tests"?
On the Model 3 it seems to be possible to race the beam to double the vertical resolution.

http://48k.ca/128x192.html
You can see this at Cedars-Sinai hospital every week.

Although I respect the cleverness of workarounds like this... come on! You're still violating the spirit of the "law!"
This is called dog whistling, and is frequently used to subtly spread racist and fascist views. If you're not doing that, arguing in bad faith is a waste of everyone's time and provides no value to the world.

https://en.wikipedia.org/wiki/Dog_whistle_%28politics%29
Yes, the kinds of people who would write a python program in C++ are in trouble.
From the guidelines:

> please use the original title, unless it is misleading or linkbait

I think it would be in keeping with that to change the title to, “New Housing Units in Your Backyard Lower Your Rent”, though I don’t mean to bite your head off for using the verbatim one.
What are your favorite subs?
The pdf on this page has the services that are under audit scope, check the table in appendix A; OpenAI is in scope for HIPAA BAA.
Moral Hazard is widely misunderstood
"New Bing" is a sign up, preview only, pie in the sky job. The headline seems to imply a released product.

Bing does not run on GPT-4 (whatever that might actually mean)!

I'll wait for the released thingie and then get excited or not.
First ChatGPT request - "Why can't my Google Workspace account do everything my @gmail account can?"
Remember the comments about artists and creatives when DALL-E came out? I remember.
On Reddit?

The past couple days have been the first error messages in years.

It used to be monthly
Node.js – v19.8.0
Pithy answer: You can’t pump solar panels into the gas tank of a 1998 Honda Civic and expect it to run.

Mathematically: 1.44 billion metric tons of coal were shipped by sea in 2019, representing a need for 4.2x10^13 megajoules, or 11,667 terawatt-hours. Total global power output by solar panels in 2019 was 681 terawatt-hours (pg 24 in this pdf https://iea.blob.core.windows.net/assets/52f66a88-0b63-4ad2-...).

So you need to 20x global solar energy output and somehow spread most of that to countries that can’t afford or aren’t interested in building and maintaining huge solar plants. But they already have built and know how to maintain their coal plants. Zero-emission synthetic coal and gasoline are zero-friction drop-in upgrades that obviate the need for probably trillions of international investment and enormous political and diplomatic effort.

Alternatively, you could run the massive carbon capture plants on solar energy instead of nuclear, and still ship these “completely clean conventionals” worldwide. It would mean building 3x as many plants for the same output since they could only run during bright daylight hours. You could bring this 3x number down by instead building (once again commensurately massive) energy storage plants as an intermediary between the solar plants and the carbon capture plants, calculating the impact of all three in order to optimally balance generation, storage, and production.

There’s even a crude political/rhetorical argument: you don’t have to convince redneck hicks to sell their gas guzzling Hummer and buy a Prius. Likewise there’s no need to sanction holdout countries to force them to accept enormous globalist investments in order to build solar power plants in their country.

Finally, I would add this emphatically is a solution looking for a problem. I want to see nuclear power used because I believe it is currently being misrepresented by at least one or two orders magnitude due to regulation and subsidy differentials, and its usage at scale will reveal that discrepancy.
My ISP doesn't see what I do.

My DNS queries are sent into a private network. Nobody knows what I'm looking at.

When I torrent movies, my IP cannot be tracked. It is shared with many users.

It is fast.

Those are all grest properties I gladly pay for.
aka single source of truth
The crucial difference there is the presence of an external agent intelligent enough to spot that the answer is wrong; humans can do that for themselves. ChatGPT doesn't self-reflect.
Copyright's been dead since the internet was born. I really do think it's the least of our problems when it comes to abstract reasoning engines.
The 1990's Called, They Want Their Bug Reporting Process Back
The people who write copy for e commerce sites are probably getting replaced as we speak. This is like writing articles for a porn magazine, it just needs to say something and the pictures do most of the selling.
Isn't this the case in every startup?
Thank you men. I knew about it. But it didn't always work..
A legal binding agreement, whatever.
MonsterWriter SaaS: Seeking Early Testers for Release in a Few Days
I've found discord replaces some Reddit subs on my list now.
Right, so the decision to or not to inject an outside query into a particular repsonse and then iterate on the result, will be something learned by the model and therefore meta-cognitive as you say. Getting the model to a good balance of when to do so is an interesting problem. However, we at least could see whether the model tried a query and display the iterative steps it took. Then at least the cases where it did use a calculator would be verifiable.
How do you verify information right now?

If I read it in a "trustworthy" news source (for me this is newspapers like New York Times, Washington Post, etc), I know that these institutions have a reputation to loose which incentivizes them to produce quality journalism.

If the New York Times started to spread AI generated false information or other content that I would deem low quality, I would switch to other news sources without those flaws. If there is no news source left that produces quality journalism and has a reputation for it AND there is nobody who cares about such journalism being produced then we have bigger problems. Otherwise, as long as there's demand, somebody will produce quality journalism, build a reputation for it and have incentives to keep not spreading false information.
Show HN: Spacy sentiment analysis using onnx
You can just spoof the user agent. It works fine on Safari on macOS when spoofing the user agent to be Microsoft Edge (macOS).
A good client shouldnt make you care

That's entirely a tech problem, rather than a people problem
The large tech company I work at explicitly told us not to upload code or any private company info to ChatGPT or similar services. I assume other companies have the same policy.
MIT 24-Hour Challenge
Definitely.

For e.g. you cannot say go to VSCode and add this feature. But, If we point it to the piece of code and ask it to append it and write tests, it does really well. (We want engineers to have control haha.)
its not just misery, its misery with hope. otherwise things go downhill too.

I guess this is where technology hate is coming from, the hope is getting extinguished by moving most of the fruits of technology to select few. I also feel tech these days is largely about making new toll booths instead of new roads.
This exemplifies the utility of greying things out in a UI.

Elevator buttons should be illuminated, but only when available. That would be a cool way to see exactly when and if the thing becomes useful, and save the user some annoyance.
If you have questions about my rationale for this or that technique included in the list, please, ask!

For example, I think Google's paper "Sparse is enough for scaling transformers" was very underrated, as it provided more than an order of magnitude improvement for inference economy, and it included one OpenAI researcher among authors.
This is cool to see. I'd love to try it out and see how useful it is for me to do my job but I don't think it's likely that I'll be able to do that soon. I think eventually I will be using this every day just like I use lots of other tools.
I tried having it write some HTML and JS code for a chat app UI. It works amazingly well. I'm legitimately going to have ChatGPT help me write this side project website I've been working on.
Yes, it can do both of those things.

I've done a bunch of stuff with ChatGPT where I've pasted in code and asked it to make changes. The main limit there is the token limit - 8,000 I think for ChatGPT - so I'm very much looking forward to experimenting with the increased 32,000 limit when that becomes available.

I write tests for my code using Copilot a bunch - sometimes by pasting in the code I want to test and starting to type tests - it autocompletes them really effectively.

I wrote a bit about that here: https://til.simonwillison.net/gpt3/writing-test-with-copilot
Why wouldn't it be legal? The allocate $10,000 pretax dollars per year for health care (this was 10 years ago, it's probably more now). You select whatever plan you want. They pay the premium. They then pay you the rest as taxed compensation.

It's legal for companies to pay your health plan with pre tax dollars. Basically they just set your salary a few bucks higher each month for whatever the difference is.
I'm waiting for copilot that has access to something like language server and instead of just suggesting immediate completions and using open tabs for context it can use LS to pull references for context, suggest file creation, adding code in non trivial places. Then add a chat interface on top. Suddenly I'm really 10x - I would pay hundreds of dollars per month for this if it worked well - it would let me handle at least two or three IC jobs. Next level after that would be getting access to tasks/development board and automatically having that as context.

Copilot and chatgpt are so clunky to work with - they help but it's not groundbreaking - once the workflow gets streamlined there will be a time window where you can leverage your experience to do 10x productivity.
Just the opposite, this is letting me pick up more work than ever. The nature of that continues to shift as rote memorization becomes less important, but that was already the case thanks to earlier forms of code completion.

It may be that breadth is becoming more valuable than depth. The engineering design process is more important than ever, along with soft skills and an eye for what kind of work matters.
https://cdn.openai.com/papers/gpt-4.pdf

Page 37 is so funny