skysight-inc/HackerNews huggingface dataset:
I think a big part of the difference in tax acceptance between the USA and Europe might be that European populations per country tend to be a lot more homogenous.

In the USA I think you get a lot of resentment over people paying for populations who they don’t feel they themselves are part of. Whereas in Europe it’s more plausibly a “there but for the grace of god go I” situation, where the person using some form of government assistance may plausibly be your second cousin.

Of course no one talks about this directly because it’s wrong think. I suspect this is also why a lot more right wing people are anti tax and left wing people are tax accepting. On the left you have less of the in group out group sentiment, for whatever reason.
As a teenager I went to a science fair organized by the Communist party (true story and obviously it wasn't in the US). A guy there was explaining how computers works and he took the time to show me BASIC. I wrote my first program that day and found it fascinating. I was enthusiastic about learning more so I asked my Dad for a computer. Said he "Study Math, it's exactly the same".

My next real contact with computers was 15 years later.
printed/println debugging works if you wrote the code or have a good idea of where to go.

I frequently find myself debugging large unfamiliar code bases, and typically it’s much easier to stick a breakpoint in and start following where it goes rather than blindly start instrumenting with print statements and hoping that you picked the right code path.
Thanks for the tip. Does turning on the low power mode dim the screen as well?
Looks like there was an adb in 1979 which is supposedly the successor to db.

https://en.wikipedia.org/wiki/Advanced_Debugger
Moreover, the law literally says that contracts are considered as laws but only applicable to co-contractants (at least in France it's written like that). So it's the same thing, just with a different scope and precedence on the hierarchy of norms.
Cheating (using a internal chess engine) would be the obvious reason to me.
Ah it’s the classic rule. If you’re the government you have to hire a guy who has A, B, and C but if you hire a non-profit that non-profit can hire a guy who has none of that and so can do it cheaper. Cool!
The approaches are very limited, and it's essentially artificial artificial AI (and need a lot of human teleop demos).

At CoRL last week, the progress has noticeably plateaued. Roboticists notably were pessimistic that scaling laws will apply to robotics because of the embodiment issues.
How is self-driving a 2D problem when you navigate a 3D world? (please do visit hilly San Francisco sometime) not to mention additional dimensions like depth, velocity vectors among others.
If lotteries could be gamed mathematically, then they would be gamed mathematically, and we'd have a bunch of mathematical millionaires as a result. I'm calling BS on all of this hand-waving. Seriously, how much do you think the miniscule odds of winning can be increased via these methods? I want a numerical answer.

And in any case, these factors do not apply to US Presidential elections and are thus irrelevant to the larger point.
Did not see a single popup - looking at the list 5 trackers and 3 add blocked.
> I find it fascinating that people are putting so much efforts optimizing exploitation techniques, yet ~nobody bothers fixing them, even if it only takes a couple of lines of code and 20 minutes.

There's definite reward in having a 0-day. Either you can get a bounty, or sell it in the hacker-souk.

That "couple of lines of code and 20 minutes" is sort of in the eye of the beholder. If you are a highly-experienced language developer, the fixes are likely to be a lot more obvious, simpler, more comprehensive, and robust, than if you are a relatively junior IC.
Probably not calling out to one but it would not surprise me at all if they added more chess PGNs into their training data. Chess is a bit special in AI in that it’s still seen as a mark of pure intelligence in some respect.

If you tested it on an equally strategic but less popular game I highly doubt you would see the same performance.
You need a Twitter premium account to DM them as well.
Kinda lousy that they tell people to open additional feedbacks when they gave no information about the behavior they are actually seeing with network extensions (leaking where? what sort of data?)
Did the same and gpt-3.5-turbo-instruct still lost all the games.
maybe a diff in stockfish version ? I am using stockfish 16
That's a difficult question to an answer. The employees of those companies were most if not entirely anti-Trump, so, if the CEO was pro Trump, then they may not have want to say anything in fear of upsetting the employees.
Pretty sure the human brain is far more parallelized than a regular CPU or GPU. Our image recognition for example probably dosen't take shortcuts like convulution because of the cost of processing each "pixel", we directly do it all with those millions of eye neurons. Well, to be fair there is alot of post-processing and "magic" involved in getting the final image.
Well not so fast the judge says: https://x.com/RealAlexJones/status/1857223561754059168
There’s a reason human brains have dedicated language handling. Tokenization is likely a solid strategy. The real thing here is that language is not a good way to encode all forms of knowledge
Musk asks 'high-IQ revolutionaries' to work for no pay on new Trump project
The tools haven't changed, we have.
> I've not seen any evidence that US voters in the US electoral system have much say in the choices they are given on the ballot.

The party nominees are elected by the very same voters—a subset of them, anyway, but anyone can show up if they please—mostly via primaries, sometimes via caucuses.
The headline claims it, isn't that more important than the article claiming it?
How are you searching with LLMs?

The strategies I've tried are:

1. Shove all potentially relevant data (e.g. entire book or library) into an LLM (quite expensive and the needle-haystack problem exists even in recent models iirc -- though splitting into many smaller prompts seems to solve it without substantially increasing price).

2. Vector database (in my experience overcomplicated and spotty performance, often not much better than an expanded keyword search, sometimes worse?)

3. Web search (generate queries, run them on duckduckgo, read the top N results) -- decent in theory but most top search results are crap, I need to adapt this method to use only high quality sources instead of general purpose search engines.
I hope you'll be glad to know that this law already hits companies where it hurts, because many people will close the tab after the slightest annoyance.

I hope you're happy that this law already encourages people to stay within a few big websites (where they've already clicked away the cookie banner) and not explore anything new (where they'd have to click away a cookie banner every time).
I've only used it in an application where we ensure the data is ASCII-only. The only issue is that I've had to write a bunch of wrapper code around it (for looking up object properties by key, iterating over key/value pairs or array elements, etc.)
I’d rather have the whole thing in a single case of the same size. Unless you want to be able to unplug the mini PC for standalone use, or you happen to already own the mini PC and want to upgrade to a dGPU without migrating to a new PC, I’m not sure what the benefit of this setup is.
The lack of good clients is really holding Matrix back. Element is rather bloated, and most of the other clients are missing significant amounts of features.
Try the safari extension stop the madness.
Bro, it actually did play chess, didn't you read the article?
Finally something besides the matrix foundation's "lol the auto-generated API docs are enough" nonsense. This really helps a whole lot better.
If that was the retro topic, we're already off to a bad start. You're making a judgement before we even started retro.

sleep in

to sleep until later in the morning than you usually do

Read it like this: Usually people don't wake up that late. But Tooooodd likes to sleep in, so now everyone's gotta interrupt their workflows at 10:30 just for Todd. Discuss!
Yes, I personally think that training an "all-knowing" artificial intelligence is not as good as training n "experts" in a single field.
"Ordinary user" here.

It comes across like the goal of this system is to prove to my users a) who I am; b) that I am working in cooperation with some legitimate big business. I don't understand why I should want to prove such things, nor why it's desirable for b) to even be true, nor why my users should particularly care about a) at all, whether I can prove it or not.

I think my users should only care that the actual contents of the sdist match, and the built contents of the wheel correspond to, the source available at the location described in the README.

Yes, byte-for-byte reproducible builds would be a problem, for those who don't develop pure Python. Part of why sdists exist is so that people who can't trust the wheel, like distro maintainers, can build things themselves. And really - why would a distro maintainer take I take "I can cryptographically prove the source came from zahlman, and trust me, this wheel corresponds to the source" from $big_company any more seriously than "trust me, this wheel corresponds to the source" directly from me?

If I have to route my code through one of these companies ("Don't worry, you can work with Google instead!" is not a good response to people who don't want to work with Microsoft) to gain a compliance checkmark, and figure out how someone else's CI system works (for many years it was perfectly possible for me to write thousands of lines of code and never even have an awareness that there is such a thing as CI) so that I can actually use the publishing system, and learn what things like "OIDC IdP" are so that I can talk to the people in charge...

... then I might as well learn the internal details of how it works.

And, in fact, if those people are suggesting that I shouldn't worry about such details, I count that as a red flag.

I thought open source was about transparency.
Nope. Calls by api don't use functions calls.
It’s advisable to use the clear legal threshold, lest we go the route of diluting all language. Trump was hitler without murdering millions and that probably washes some of the crimes away.
People will get mad about having to pay a "small" fee to use a toilet at a national park, so some will take a crap behind a tree.

So the USFS and NPS could then hire private security companies to patrol the parks looking for people peeing and pooping behind trees, and arrest them, forcing them to pay huge fees to be released.

Maybe this could be a model for law enforcement all over America, actually: privatize all the police. People could just pay fines for whatever crime they've committed: $1000 for insulting the president, $10,000 for shoplifting, $10M for murder, etc.
There's something seriously wrong with government when this sentence is true:

"The BTNF essentially hired Kosiba’s group, which could then contract out with other private companies. They agreed to do the job at about a third of that $120,000."

That's really not normal. What's going on in government spending?
Yes it does but it isn't perceptible IMO.

https://support.apple.com/en-us/101604
Not meeting expectations != not better than the previous models.

The Information reporting was a bit more clear on this. Orion is better than GPT-4, it's just that they were expecting a leap in capabilities comparable to what we saw going from GPT-3 to GPT-4. In other words, they were expecting essentially a GPT-5, and Orion wasn't that good.
I wanted to watch the video, but the keyboard typing being the loudest part of the video made it rather hard to listen.

I wonder if a tool exists to strip keyboard noise from YouTube videos?
A map, if it is useful (which the subjective human experience of reality tends to be, for most people most of the time,) is by definition a coherent view of the territory. Coherent doesn't imply perfect objective accuracy.
There is a specific accessibility setting to reduce motion and prevent videos from autoplaying on iOS.

Go to Settings > Accessibility > Motion and turn on "Reduce Motion"
that you know of
If this simple procedure would be taught in schools, most trees around parking in forest areas wouldn't look like shit.
Stallman may have its flaws, but this is why serious research occurs with source code (or at least with binaries)
Unaltered version*
I built a GDPR request deletion system for a company right as GDPR came into effect. In the first year the only requests that came in were from privacy advocates and competitors.

I don’t know if after that it saw more natural usage but I doubt it.
From what I can tell it probably doesn't have significant whitespace.
> since you can't even report bugs to many of them without an account.

I joined my current employer a bit over a month ago at this point and legal still hasn't authorized me to open a GitHub account or authorized me to use my personal account to report issues.
> Couldn’t this be evidence that it is using an engine?

A test would be to measure its performance against more difficult versions of Stockfish. A real chess engine would have a higher ceiling.

Much more likely is this model was trained on more chess PGNs. You can call that a “neural engine” if you’d like but it is the simplest solution and explains the mistakes it is making.

Game state isn’t just what you can see on the board. It includes the 50 move rule and castling rights. Those were encoded as layers in AlphaZero along with prior positions of pieces. (8 prior positions if I’m remembering correctly.)
Yes, that is why when lotteries can be gamed they often are, eg:

https://listverse.com/2019/06/04/10-people-who-successfully-...

> I'm calling BS on all of this hand-waving.

Maybe work on the math a little.

> Seriously, how much do you think the miniscule odds of winning can be increased via these methods?

There are multiple methods that can be and have been used, they all have different outcomes on Expected returns.

> I want a numerical answer.

Again, maybe you might want to work on the math a little yourself - on a specific ruleset (or on a family of rules using some abstraction) .. there are tools that can help you; mathematica, R, etc.
Fun fact: the Codeium office is actually the Pied Piper office from the show [1], so yeah, they like Silicon Valley.

[1] https://x.com/codeiumdev/status/1851400416946462967
He thinks his companies will get tariff exceptions because he curried favor. And he might be right!
This comment aged poorly. We just learned the Trump Administration is killing EV tax credits.
FWIW I think most of the "tokenization problems"

List of actual tokenizarion limitations
1- strawberry
2- rhyming and metrics
3- whitespace (as displayed in the article)
Nah, I see plenty of “my code executed in a CPU on someone else’s computer” in that list.
How did they get these engineers to get through their whole presentation without saying "um", "uh" or look like they are reading. It really seemed off the cuff too. Very talented folks
What did they mean, if not 'nanometers'?
If tokenization is such a big problem, then why aren't we training new base models on randomly non-tokenized data? e.g. during training, randomly substitute some percentage of the input tokens with individual letters.
> The party nominees are elected by the very same voters—a subset of them

A very very very tiny subset. The point stands.
And I stand by my use of it.

The Sandy Hook families were private individuals; the only thing they had in common is a man killed their kids and then another man told his hundreds of thousands of listeners, over and over again, that those kids didn't exist. They had no platform to shout down his lies. They had no corporation to fund an antidote to his lying. They had no resources to stop the harassing phone calls and death threats from the people Jones convinced they were monsters.

What they had was a right, under common law in the United States, to not have their names dragged through the mud. And they took the man who did that to court and they won. In a country where, we should note, truth is an affirmative defense (and not one that Jones proffered, because truth was not on his side).

This is the story of victory of the marginalized and powerless over a media mogul who hurt strangers for a buck. It is good that they live in a country where such people can hold the powerful to account.

And hey. If injustice was done he can counter-sue to rectify it. Perhaps we should take note that he won't because the law is not on his side... They didn't wrong him.
This is just more tokens?

Yup. Just let the actual ML git gud
Consider me naive, but what way did Dijkstra thought it should be taught?
Someone who first learned to code in QBASIC
There is a different bar applied to him though. For example I cannot remember journalists losing their composure over recess appointments back then. Obama did a large number of them and even had some reversed by the Supreme Court. I suspect in today’s environment he would face different scrutiny.
I like this explanation
Does it matter?

As a user I want it to be right, even if that contradicts the normal rules of the language.
Keep in mind that truthiness comes from __bool__ and is overridable, so separate from Python itself, a lot of library authors have made questionable decisions here. A perennial contender is https://github.com/psf/requests/issues/2002.
Few people (perhaps none) expected LLMs to be good at chess. Nevertheless, as the article explains, there was buzz around a year ago that LLMs were good at chess.

> It has no idea about the quality of it's data. "Act like x" prompts are no substitute for actual reasoning and deterministic computation which clearly chess requires.

No. You can definitely train a model to be really good at chess without "actual reasoning and deterministic computation".
Analysis of economic and productivity losses caused by Youtube ads in <world>.

<S>OMFG!!! YOUTUBE IS COSTING THE WORLD *750B EUR* PER YEAR. </S>

How many hours of productivity are lost to Youtube ads?

2.49 billion active users, average seems to be 29 hours per month, reddit reports 4 ads/10 minutes lately - so 24 ads/hour, 5 seconds each (even though that went up!), so 2mins of ads/hour or 1 hour of ads per month, 12 hours of ads per year!

12 hours * 25 Eur/hour * 2.5B = 750B Eur

(probably made some mistakes)

Also, this article is ridiculous - like assuming all 400M European internet users are "productive" at 25Eur/h (30% are probably < 15 or > 65), people clicking 1200 banners per year because they visit 100 sites/month (12*100, right?!) and so on.
> My previous job made it hard to even submit bugs/fixes to open source projects we used internally. Often we just forked b/c bureaucracy (there's a reason it was my previous job)

The process for me to submit a PR to an OSS project at my last firm took so long that by the time it got through legal review and I was authorized to see it through to the end, it had been 1.5 months and I went from having some free time to work on it at work to being swamped with work doing hardware bring-up and leading a massive redesign project.
if this isn't just a bad result, it's odd to me that the author at no point suggests what sounds to me like the most obvious answer - that OpenAI has deliberately enhanced GPT-3.5-turbo-instruct's chess playing, either with post-processing or literally by training it to be so
Do you mind getting into specifics about how you've been using AI to restructure your code? What tools are you using, and how large is the code base you're working with?
You realize old Twitter was literally censoring things they knew to be true but politically damaging, right? Or are you still operating in 2022?

Twitter is right wing because your country (and the world) are shifting right. Sorry.
You'd think so, and yet apparently it didn't happen - or it's not heritable, in which case we're stuck with it.
> I always had the LLM play as white against Stockfish—a standard chess AI—on the lowest difficulty setting

I think the author was comparing against Stockfish at a lower skill level (roughly, the number of nodes explored in a move).
Very good scenario. One variation: some researcher or division in OpenAI performs all of the above steps to get a raise. The whole field is predicated on rewarding the appearance of ability.
> I don't think that Obama was a liar, crook, incompetent, or evil.

All politicians are liars. If you think there's an honest one, I'm sorry to inform you that you're hopeless naive.

Obama started lying very early in his Presidential campaign. For example: "Barack Obama faced widespread condemnation today from both right and left for reneging on a promise on election campaign financing." https://www.theguardian.com/world/2008/jun/20/barackobama.jo...

One example of Obama's incompetence: his administration completely botched the rollout of the Affordable Care Act. Do you remember that? And he was actually terrible at advocating for a health care plan, forcing Harry Reid and Nancy Pelosi to do all of the work and lobbying for the ACA, which doesn't actually deserve the name "Obamacare" given to it later by Republicans.

Another example: he was overconfident about Clinton winning in 2016 and thus failed to more forcefully pursue a vote on his Supreme Court nominee.

Oh yeah, and his administration bombed a hospital.

He promised while running that legislating abortion rights would be his first act as President. That was a lie.

He bailed out Wall Street during the financial crisis while allowing homeowners to go underwater.

He continues to take credit for promoting fossil fuels in the US, as if that were a good thing.

I could go on and on and on about Obama, but I'd rather not write an entire dissertation here. My list is just some things that popped into my head immediately. (I did google for the link to confirm the thing I already knew.)

Remember that the Snowden revelations occurred during the Obama administration, which was spying on us illegally.
I hate to burst everyone’s bubble, but this is fake news. This deal is not final. The judge in the liquidation case is holding an evidentiary hearing next week to understand how and why secret bidding was set up and why it was not open to the general public. Sounds like a BIG loss for The Onion, not to mention the potential defamation cases that could arise from news outlets publishing an unverified story about a sale that isn’t final.

Source: https://x.com/behizytweets/status/1857195724242329997
Why do you doubt it? I thought it was well known that Chat GPT has degraded over time for the same model, mostly for cost saving reasons.
New Apple security feature reboots iPhones after 3 days, researchers confirm
> IBM built a super computer for $290m.
> To give a sense of progress, you can buy single GPUs today that can almost do that.

that's absolutely crazy!
I thought there were some interesting claims regarding voting machine exploits that be confirmed/debunked by Hackernews.
Edit:
There are also some claims regarding Elon and Starlink which are also circulating https://www.wired.com/story/elon-musk-starlink-election-frau...
Relativty: An open-source VR headset for $200