skysight-inc/HackerNews huggingface dataset:
I think this is a fair approach when things work well enough that a typical user doesn’t need to worry about whether they’ll trigger some kind of special content/moderation logic. If you shadowban spammers and real users almost never get flagged as spammers, the benefits of being tight-lipped outweigh those of the very few users who get improperly flagged or are just curious.

With some of these models the guardrails are so clumsy and forced that I think almost any typical user will notice them. Because they include outright work-refusal it’s a very frustrating UX to have to “discover” the policy for yourself through trial and error.

And because they’re more about brand management than preventing fraud/bad UX for other users, the failure modes are “someone deliberately engineered a way to get objectionable content generated in spite of our policies.” Obviously some kinds of content are objectionable enough for this to be worth it still, but those are mostly in the porn area - if somebody figures out a way to generate an image that’s just not PC, despite all the safety features, shouldn’t that be on them rather than the provider?

Even tuning the model for political correctness is not the end of the world in my opinion, a lot of LLMs do a perfectly reasonable job for my regular use cases. With image generators they are going so far as to obviously (there’s no other way that makes sense) insert diversity sub prompts for some fraction of images which is simply confusing and amateur. Everybody who uses these products just a little bit will notice it. It’s also so cautious that even mild stuff (I tried to do the “now make it even more X” with “American” and it stopped at one iteration) gets caught in the filters. You’re going to find out the policies anyway because they’re so broad an likely to be encountered while using the product innocently - anything a real non-malicious user is likely to get blocked by should be documented.
The book itself is called Which lie did I Tell? And although this bit comes quite early in the text (I should disclose it's been a couple decades since I've read it), the book is mainly biographical.

Its a fun and smart read, but doesn't devote more than maybe a chapter reflecting on this revelation, even though Goldman, who wrote it in all caps in the book (which is why I wrote it that way in my post), considered it his most important or influential observation.
Not alone. I was pretty grouchy about it a few months ago. It seems to be getting better, though.

I code all over the stack, usually some bizarre mix of python, pyspark, SQL, and typescript.

TS support seems pretty nice, and it can optimize and suggest pretty advanced things accurately.

Py was hopeless a few months ago, but my last few attempts have been decent. I've been sent down some rabbitholes though, and been burned -- usually my not paying attention and being a lazy coder.

PySpark is just the basics, which is fine if I am distracted and just want to do some basic EMR work. More likely, though, I'll rummage my own code snippets instead.

The speed of improvement has been impressive. I'm getting enthused about this stuff more and more. :)

Plus, who doesn't enjoy making random goofy stuff in Dall-E while waiting for some progressbar to advance? That alone is worth the time investment for me.
Before anyone goes evangelizing Signal, make sure to tell your iOS friends that if they ever lose their phone they lose every message they ever sent on Signal with no way to restore them, and the same applies if they ever get an Android phone (latter also true of iMessage, but WhatsApp is totally cross-platform).
A rare opportunity for the other four-letter comic to be applicable: http://smbc-comics.com/comic/2011-12-13

(Though I suppose this skips Neuralink / step 3 and jumps right to step 4.)
You mention "solutions"

Perhaps you mistake me for someone who cares about suggesting
solutions for the prolems suffered by giant technopolies, as if they
were my problems.
The ol' "the enemy of my enemy is my friend" play.
You absolutely should, I've been wondering if there was a video somewhere showing the defaults during setup.
You can but you'll have to configure the startup of every package yourself.
https://kyberslash.cr.yp.to
When margins are above 75% everyone and their mother wants a piece of the pie.
One nice thing about maildir is that eg command line grep just works.
No they aren't. Rewind uses ChatGPT so data is sent off your local device[1].

I understand the actual screen recordings don't leave your machine, but that just creates a catch-22 of what does. Either the text based summaries of those recordings are thorough enough to still be worthy of privacy or the actual answers you get won't actually include many details from those recordings.

[1] - https://help.rewind.ai/en/articles/7791703-ask-rewind-s-priv...
The 1971 closure was due to a bomb, yes. http://news.bbc.co.uk/onthisday/hi/dates/stories/october/31/...
Life's never gotten to you that you've just wanted a bit of help sometime?
If one player can exploit the situation with a unilateral strategy, wouldn’t that mean it’s not a Nash equilibrium?
disclosure: 3 tools used to grow the main tools are also my tools(I'm the author).
- unicorn platform
- listingbott
- seobot ai.

(can't edit the post, so I'm writing it in the comment)
Google giving spotify a deal on their fee is a large part of why they lost the epic case after apple won.
I’m just happy to see us settle on fp type ideas regardless of the name.
This network appliance is an integrated device suitable for your needs albeit the price is USD2K+ with 6x1GbE, 2x10GbE [1]. Being an Intel Atom Denverton C3000 based platform it can also support SR-IOV that is good for virtualization of NICs participating in cloud computing with Kubernetes [2].

[1] IEI PUZZLE-IN003B:

https://www.ieiworld.com/en/product/model.php?II=692

[2] Single-root input/output virtualization (SR-IOV):

https://en.m.wikipedia.org/wiki/Single-root_input/output_vir...
I have a one-liner zsh function that does the same thing, been using it for years, too powerful for me to switch it, and probably has better search capabilities, thanks to fzf.

function hist() {
print -z $( ([ -n "$ZSH_NAME" ] && fc -l 1 || history) | fzf | sed -E 's/ *[0-9]*\*? *//' | sed -E 's/\\/\\\\/g')
}
S6 is pretty good yes and their developer was looking for sponsorship to develop a full service manager based on it. Don't think he ever got it though.
Campbell's and Franz?

The only things left the rest of us can afford to eat.
I think it was amplified in 2020. I hear many cite 2015 as the year things got woke. Terms like "preferred pronoun" started entering the mainstream around 2015, one year after GamerGate (not that that was the cause).
The backstory of that podcast is fascinating: https://transistor.fm/customers/acquired/

Ben and David started the show in 2015 and initially focused on tech acquisitions, but now they've expanded the purview of the show to "great companies and the stories and playbooks behind them."

Their sponsorship model is wild: they charge up to $750k for a 6-month sponsorship!
Reminds me of Adam Neumann charging WeWork 5.9 million USD for the 'We' trademark.
Just migrated a couple of projects from remix 1 to remix 2. It wasn't a walk in the park, but it was well planned by their team, by first adding feature flags to v1 where you could slowly adopt v2 APIs, and then switch. I think you can even run v2 with a v1 API backport layer. So I think they have a good approach to stability vs improving their product.

The really hard part has been migrating other stuff like CJS to ESM, or upgrading other dependencies like cypress, but that is not related to remix.
That is such a good read

Very much on point with this post above
Making social status depend on eco friendly choices, would help reduce co2 emissions.
> i am a stochastic parrot, and so r u

- Sam Altman, CEO of OpenAI
https://twitter.com/sama/status/1599471830255177728

But I’m sure he was joking. If he wasn’t, I’m sure he’s not actually reasonably involved. If he is, I’m sure he just didn’t mean that cognition was essentially a stochastic parrot.

It’s pretty obvious what the people pushing LLM-style AI think about the human brain.
As I commented elsewhere, you can:

- Filter by commands run within the current shell session

- Filter by commands run within the current working directory

- Filter by commands run across hosts (as opposed to filtering commands run on your local machine)

- Filter by commands run within the current shell session

- All of the above searching functionality, with nice fuzzy finding support, time stamps, etc.

Before atuin I used zsh's builtin history, with ctrl+r rebound to present that builtin history through the `fzf` fuzzy finding tool, and zsh configured to share history across shells. The deficiencies I found: I couldn't optionally filter by commands _only_ run in the current shell, I couldn't filter by commands run in the current directory (useful for quickly finding commands I often need to re-run for a given project), and I can't search for commands run across hosts.

If you don't find yourself valuing these things, you may find that you have little to gain from using atuin.
Wow that tech geek should have created her own phone and OS to claw back that $300K per year.

Also $320K/yr spending money is pretty good.
I believe MIT OCW also has a free course on poker.
At the end of the day it can only get as far as the data it has. Let's say you want to make a drug that inhibits a protein. The AI can generate plausible drugs but to see if it actually works you need to test it in the lab and then on an animal etc. now you can have an AI that has a perfect understanding of how a drug interacts with a protein but wesuch data is not available in the first place. Without that you can't just simply scale gpt type models
Well, every model is altered to conform to an agenda. You will train it on data, which you have personally picked (and is therefore subject to your own bias), and you'll guide its training to match the goal you wish to achieve with the model. If you were doing the training, your own agenda would come into play. Google's agenda is to make something very general that works for everyone.

So if you're trying to be as unbiased as humanly possible, you might say, just use the raw datasets that exist in the world. But we live in a world where the datasets themselves are often biased.

Bias in ML and other types of models is well-documented, and can cause very real repercussions. Poor representation in datasets can cause groups to be unfairly disadvantaged when an insurance premium or mortgage is calculated, for example. It can also mean your phone's ML photography system doesn't expose certain skin colors very well.

Even if it was trained with a statistically representative dataset (e.g. about 2/3 of the US is white), you want your model to work for ALL your customers, not just 2/3 of them. Since ML has a lot to do with statistics, your trained model will see "most of this dataset is white" and the results will reflect that. So it is 100% necessary to make adjustments if you want your model to work accurately for everyone, and not just the dominant population in the dataset.

Even if we aren't using these models for much yet, a racist AI model would seriously harm how people trust and rely on these models. As a result, training models to avoid bias is 100% an important part of the agenda, even when the agenda is just creating a model that works well for everyone.

Obviously, that's gone off the rails a bit with these examples, but it is a real problem nonetheless. (And training a model to understand the difference between our modern world and what things were like historically is a complex problem, I'm sure!)
Jokes on it, already unemployed
the reason I didn't add the "disclosure" is that it's "Show HN". My guess was that adding this lable means "I'm showing my tool".

Anyway, I added the comment.
not sure if there is any effect on the overall point of the post and its value.
Matomo has per-user tracking (visits log) across sessions. Attribution won't be perfect, but you can make it tolerable with UTM tags. It can be GDPR compliant without much effort. You can also query the raw data via SQL if you want.

PostHog is pretty popular for product companies now, but who knows how long they will continue with a free offering.
So this is just an ad for your products? Unicorn platform, listingbott, seobotai, and now index rusher.
In the age of information ignorance is no longer an option, Before I buy a car, most often the second largest purchase a person will make in their life next to housing. I do i TON of research, I look at insurance rates, I look at Theft Rates for that model, I look on Car Complaints and other Database for common failure items for that model, I have it inspected by a independent mechanic having them pay extra attention to the common failure items. etc

If you just roll in and let the salesman take you for a ride then you deserve the outcome.
While potentially you could make them brighter, there's not really too much of a need compared to normal LED headlights. The real advantage is that you can have these ultrabright lights without blinding everyone in the process.
Which goes to show that even crazy people can sometimes be helpful.
Even if recursive self improvement does work out my hunch is that is going to be logarithmic instead of exponential mostly down to just availability of data. It might go beyond human intelligence but I don't think it will reach singularity
Citation: https://www.politico.com/news/2024/02/21/embryos-children-ua...
git is a trademark. Here's the USPTO trademark registration info: https://tsdr.uspto.gov/#caseNumber=85961336
I’ve personally seen someone get 7 Gy and be relatively functional (in a localized area) - no worse than he went into the OR anyway, to get the stent put in his brain. And he almost certainly lived another decade or so.

The other stuff sure, but it takes a truly mind boggling amount of radiation to incapacitate someone (near) instantly. A lot more than that.

100-150 Gy? The only concrete number I found looking around for ‘instant’ was 1000 Gy to likely kill someone within an hour.
I set up two years ago a cron to screenshot every minute.

Just did the second phase of using ocrmac (vision kit cli on GitHub) that extracts text and dumps it in a SQLite with FTS5.

It’s simplistic but does the job for now.

I looked at reducing storage requirements by using image magik to only store the difference between images - some 5 min sequence are essentially the same screen - but let that one go.
Say I am between sophomore and junior, what's the best way to bootstrap from calc+linalg+stat to being able to competently configure and piece these components together into something like this? Any good lecturers or courses?
> They were using bots that integrated directly with Discord, such that a user didn’t even need to set up any servers or anything like that, because they could just run this bot directly from Discord in order to carry out the attack.

how? if i could host bots from discord itself for free then making my own music bot to bypass the removal of youtube from bots like hydra would be a non issue. i'm genuinely confused as to how this was done
I like using https://www.remix-validated-form.io/, which you would use to get a type safe validated object before doing the submit. And then you could reuse the validator on the backend as well.
I'm sorry but this must be one of the worst advice imaginable.

The company itself is great, and is making a ton of money. But the share price of Nvidia is absolutely pure speculative hype !

The math - in the past year, during which Nvidia suddenly found itself in a monopoly situation during a huge spike in AI interest (or / and hype), they made 60B$ in revenue (x2 from 2023), and 30B$ in net profit (x10 ! from 2023). Both numbers are huge. But ... the company is valued at 1800 B$ currently. There is this pesky little ratio that is sometimes useful, called price / earning ratio, and it gives a number around 60 here.

So in short - great company, perfect positioning, but way overpriced.
There have been effectively unbeatable 1v1 limit hold’em bots online for at least 15 years - this has been a problem for a long time. Poker popularity ebbs and flows, we seem to be in a bit of a “boom” period right now.
There was also a similar document floating around the Internet for Windows 2000 that discussed how to crack the key.
Yes - but can your M2 capture 4K video of the drop so that you can post it on Youtube and taunt your enemy? Just kidding. I think like many things this is only the beginning. Humanity seems very talented at figuring out more efficient ways to blow each other up.
what? that’s just shy of 32k a month. enough to save for all your retirement, pay a mortgage, support a family, go on holiday, do whatever you want. and if this supposed dev did $999,999 he’d only pay 15%.

hardly anything left? i made less than that at a FAANG and live an amazingly comfortable life.

also, everyone pays sales tax: consume more, pay more. how is earning over $350k in cash a year net a bad place to be? this is insane
Any links in the self-hosting options? I had some saved but lost them.
"I have a one-liner zsh function that does the same thing"

I think you mean "I have a one-liner zsh function that does a tiny subset". It's lacking:

- The ability to filter by current directory

- The ability to filter by current shell session, instead of across all shell sessions (that's assuming you use zsh's shared_history; if not, then the opposite is true: you can only search within the current shell session. See https://zsh.sourceforge.io/Doc/Release/Options.html#index-SH...)

- Search history across hosts

Until recently, I used zsh+fzf, with the default ctrl+r binding replacement provided by fzf. It's been great, but it has lacked functionality that I've wanted for a while now. Atuin fills in these gaps for me.
why do you want to bundle raw SQL files?
For me, syncing across machines and other shell sessions was enough to justify shelling out the $0 and 5 minutes it took to install and learn the tool.
There have been studies characterizing it more since then both analytically and quantatatively. There have been model bikes built with counter rotating weights to eliminate the gyroscopic effect and it still works. Part of the complexity is they all work together so the parameter space is complex. People have isolated the effect of things like the head angle though or the gyroscopic effect.
They need deadlines where they feel shame if they fail. And they will do anything to avoid having them. To provide the necessary structure and disciplining as a partner is next to impossible in a relationship of equals.

They need some external force to exert pressure, which is usually a strict boss and job, but usually they will just leave their job if the income is not needed.

A lot of ADHD advice promotes being more empathetic and forgiving, but ultimately they need a much stricter regime than the rest.
Making iCliniq's AI Journey Public
This document talks about our AI journey at iCliniq and the methodologies/assumptions we have taken. The reason we are posting it here is to collect feedback and improve ourselves with our AI journey.

We also hope that there are some takeaways for people who read this as well.

Building in public is definitely the way to go forward in AI.
When I was playing I called this the "School of Fish" phenomenon.

If there are weak players they can effectively end up colluding against a stronger player who is playing "More Optimally".

Understanding the table, is a key skill. There's still a human element in the ring game.
For anyone unfamiliar with this story:

https://philosophy.williams.edu/files/Egan-Learning-to-Be-Me...
How did you build 20+ products?

I'm trying to build one but cant get over the paralysis.

Any tips?
Do ad blockers modify client-side scripts? I figured they just use some feature allowing extensions to block network requests. If they are modifying client-side scripts, then it might be tricky for a tool like this to allow some forms of modification without allowing other forms of modification.

Here's what ChatGPT says:

Most ad blocker browser extensions primarily work by intercepting and blocking network requests made by web pages to known advertising servers or domains. When a web page loads, it typically requests various resources such as images, scripts, and stylesheets from different servers. Ad blockers analyze these requests and compare them against a list of known ad servers or patterns commonly associated with advertising content. If a match is found, the ad blocker prevents the resource from loading, effectively blocking the ad from appearing on the page.

Some ad blockers also employ additional techniques such as element hiding, where they modify the Document Object Model (DOM) of the webpage to hide elements that are recognized as ads. This can include hiding divs, iframes, or other HTML elements that contain advertising content.

Overall, while there are variations in implementation, most ad blockers primarily rely on blocking network requests to known ad servers or domains, with some employing additional techniques to hide or remove ad content from web pages.
Sequential-storage: efficiently store data in flash
Because an algebraic effect has no meaning in economics, as best I know, so the context must be something else.
Maybe it is because the simple way requires knowledge of packages, which are covered later perhaps, since many tutorials go straight to "go run helloworld.go"
‘Doing the work of a human’ is something that is very hard to define or quantify in many cases. You sound very confident, but you don’t address this at all; you simply assume it’s a given.

Relevant: https://www.jaakkoj.com/concepts/doorman-fallacy
Varda Space capsule returns to Earth with space-grown antiviral drug aboard
This came in handy for me once when I locked myself out of a u-haul in what used to be a rough neighborhood in New York. I was standing there fishing with a coat hanger trying to figure it out when a gangster looking dude came up and was like "here, let me help you with that," and 3 seconds later had the door open.
My prediction:

1. As a result, we'll see costs like losing the keys to a rental car go from a $250-500 fee to a $2500-5000 fee, due to the additional costs to process and the additional loss of use.

2. Criminal rings that steal high value cars will go from often using tow trucks, to exclusively using tow trucks.

3. The number of cars stolen via stolen keys will remain unchanged.

Yes, the key itself will be more secure, but I'm not really sure it will actually improve anything. More security is not better if the costs do not create real-world results.
statistics about the usage would be cool
I mean, they did lower the fee (well, it's a program you can apply to) to 15% if you make less than $1,000,000 a year.
Imagine if it starts suggesting the ideal dating partner as both of you browse profiles. Actually, dating sites can do that now.
I would be very surprised if it said "nonbinary indigenous American woman" considering that nonbinary and woman are different categories
I don't think it's fair to say compute is the blanket bottleneck. Meta has shown that they have plenty of compute to throw at problems but they're still resorting to generating synthetic data to try and improve the quality of their models, i.e. data is the bottleneck and they can afford to burn compute to get ahead there.

Phi-2 has shown that a very reasonable compute budget can produce a phenomenal model if the data is pristine and well chosen, and the model is trained well.
Sorry, my bad. I grabbed the wrong link. Thanks for correcting.
It outright refused to generate images of a white family but has no problem doing so with any other race. The historical part of it is the least problematic.
Seems like the big tech cos are going to build the underlying infrastructure but you'll still be able to identify those small market opportunities and develop and sell solutions to fit them.