skysight-inc/HackerNews huggingface dataset:
OS and device manufacturers don't necessarily want to optimize. Optimization would reduce the hardware replacement cycle, cutting into their profits.

Microsoft gets pressure from their hardware partners to keep up the hardware replacement cycle, and they themselves of course get a cut of that via OS licenses.

Phone manufacturers seemingly invented "Always On Displays" to also cause people to start to think they needed a new phone or battery just a year/18 months into owning their device. Christ what a waste of power for such little value delivered! My wife said her new S23+ would barely last a day - so I turned off the always on display option, and now it lasts 2.5/3 daysish of normal usage.

It's a slightly different story with laptops, where battery life is an important feature. You'd think battery life would be important for phones too.
I wonder how this kind of thing will affect low-mid tier sit down chain restaurants (think Red Robin, Chili's, BJ's, etc).

Right now, to take my family to one of these restaurants for dinner would cost on the order of $100. At that price, I may as well just stomach the extra $30-50 and go get a nice meal at one of the local independent restaurants. The food and atmosphere will certainly be better.

My in-laws took us out for dinner last weekend at Red Robin and the bill after tip was about $140. (4 adults, 2 kids). That's seriously obscene for the quality of food at Red Robin, which isn't terrible but certainly not worth spending $140 for.
How long are your sessions on average? Is this your daily driver or just for certain occasions (travel, etc)?
That's why they wrote "the original".
Some people are massively thinking this is gonna be the next step. It's an interesting take.
Hello in Every Way
Collection of ways to greet in every language, including real and fake.
Why Databases Write Ahead
While it's not precisely congruent, this makes me think of Prince's single "Breakfast Can Wait" [0] whose artwork features Dave Chappelle dressed up as Prince, a still taken from a Chappelle's Show sketch (y'know, "fuck yo' couch"?).

By my reading of TFA, this use of Chappelle's image-of-Prince wasn't exactly transformative. Chappelle reportedly took this in chuckling stride, as the wiki link relates, but one wonders if any negotiation, legal or otherwise, took place.

[0] https://en.wikipedia.org/wiki/Breakfast_Can_Wait
> In the south, Radon "can" be an issue, but it simply isn't an issue.

There's more to the south than Texas, y'know. I can't recall if radon tests are required during a home inspection here in NC, or just highly recommended, but when I was buying a house last year I toured several homes that had radon mitigation systems installed.
Apparently Stripe stores its keys as strings, though not the usual UUID string representation.
I had an iphone for like 3 years before I found out how to do text search in Safari. Not sure why they make it so hard to find.
Is it not an ad, just a short piece I wrote on coffee roasting.
Clickhouse looks more complicated because instead of

create table bla (
id number,
xyz varchar
)

you're doing things like

create table bla (
id uint64 CODEC(DoubleDelta(8)),
xyz Nullable(LowCardinality(Varchar)) CODEC(ZSTD(1))
)
engine=MergeTree
order by id

but I do wonder what is the performance difference between actually carefully specifying everything and leaving defaults (except for order by I guess).
I'd argue that they don't even have speech in the same sense as we do. We choose words because they're connected to semantics we wish to convey, while LLMs choose words because they fit word patterns that exist in their training datasets.
Right.
So where I end up on this, given the examples of intuitions that DO work, is it's always the _right_ levels of prior knowledge that's needed. The intuitions on language (encoding basic grammar) didn't pan out, but the one for vision did (CNNs). What further levels of intuition could we use to improve even the large language models?

That, of course, requires experimentation. If it's not speeding up scaling (of course this should be done), and it's not mimicking human cognition (Bitter Lesson says no), what do you decide to try? I guess I'm missing what other heuristics there are to use here.

Just looking at the current state of where NLP is going: Prompt engineering and its various 'step-by-step' siblings are all pretty high-level human cognition motivated to me. Shouldn't that go against the bitter lesson as well?

"The Bitter Lesson" feels like an article that was written at a time when the intuitions that went into deep learning have become common-place, and scaling things up get a lot of leverage out of the 'insights' that came before. Once the returns have diminished to a point of saturation, the 'insights' will likely once again be useful, until methods to scale catch up once again, and "The Bitter Lesson 2.0" will be making the rounds.
I used Gentoo for over a year, from at least early April 2020 until my migration to GNU Guix in early December 2022. Got into DWM, LTO, minimal systems. It taught me more than any other distro, and there's still a lot I miss about Portage and the Gentoo community. Still use `functions.sh` to style my personal Bash scripts. Functional package managers have not nurtured the same culture around diverse USE flag support and quality packages + docs, and I wish I could just glue them together. Some day.
Having lived in a place where I don't need a car, I purposefully moved to a location where I can drive my car.

I had to go to the doctor. Punch in address and drive there, park the car and walk in. No need to check at what time public transport shows up, or if it does at all.

While I live at the foothills with direct access to hiking trails, I don't need to drive through 45 minutes of urban unplanned jungle before I can jump on a congested freeway in the case I want to visit another place. No, the freeway is right there.

I want to go do my weekly Costco run. Couldn't do that before. Took too long, so I was stuck paying the inflated prices at Pavilions around the corner.

All of this, plus the fact that I don't need to worry to have a to step over a homeless guy to walk to work, or dodge shit, or being awoken by police 3 times per night make me REALLY happy to be where I am.

Far away from civilization.
I just wiped the dust of the SNES and an old tube tv today and played Super Mario World. It is such a masterpiece!
yep, non-partisan news is an oxymoron.

you really have to go to the source, read/skim the supreme court cases for yourself. then you'll find pretty much all the news is disingenuous and most people are parroting things based off that.
This is actually quite appealing to me. Do you mind if I ask what if any framework you used to do this?
I think if anything it demonstrates that Disney are playing with a relatively weak hand here.

Disney have a broader problem - they are not the only player in central Florida. Magic Kingdom at Walt Disney World is the most attended theme park in the world… but Universal just down the road hold the number 2 and 3 slots.

Yes, WDW is the most attended group of parks on the planet, but Universal are on an epic roll and have a 3rd Florida gate under construction.

It’s not just that Disney can’t pack up WDW and move it to a state friendlier to them. They can’t pack up the critical mass of demand drawn to central Florida either - replicating that elsewhere would take decades.

I don’t think that the Florida legislature are that worried about whether Disney will create however many thousand jobs. They know full well the central Florida tourism market is a juggernaut that’s not slowing down anytime soon and that Disney will maximise their presence in this market regardless of the political climate.

Keeping some corporate and creative jobs in California instead of relocating them to Florida is fairly small fry in that context.
I worked for a US government contractor. According to US law, any software we sold to the federal government has to make accessibility a primary concern. The company never paid more than lip service to the idea. (The closest we ever got was showing that a particular screen reader _could_ make sense of a very very small part of the application.)

Eventually the company was sued by a former user who had been fired from a US government job for low performance when using the company's software. The company settled out of court for some amount of money, but never changed the company policies. To my knowledge, that company still doesn't take accessibility seriously despite the law and despite having settled at least one court case about it.

Perhaps the UK is able to enforce their requirements in a way to actually cause changes in behavior, but it wasn't the case in the US in the 2010s.
They are/were both financiers. Lots of people will have met with Epstein. Probably a good proportion of people he entertained on his island never were involved in his sexual endeavors. While I'm not a Thiel fan in any way, just meeting a dude seems like thin gruel, a way to say "seems suspicious" without any reason for suspicion at this point. It's not like Thiel and Epstein were fishing in the same pond.

Maybe the story really is that Epstein met with Thiel.
https://therealdeal.com/texas/2023/04/13/dmb-plans-12000-hom...
TOTK is truly a technical and gameplay marvel, it's been so much to spend hours upon hours running around. It's hard to focus on a single mission because you can get side-tracked so easily and that is one of its charms.

It's also amazingly impressive because of the seamless transition from sky to earth to underground, and the amount of stuff it can draw on over 10 year old hardware. But it's also doing impressive physics stuff - attaching multiple objects to each other, and tracking the movement of everything to allow for time reversal. It's truly incredible.
This is kind of already the case. There are stock/forex trading discords where "verified" trader roles already exist (e.g. you have an account with that prop firm), and helpful information (including job openings) are sent there first.

Same thing with various Discord communities that recruit from Reddit where your participation in the subreddit is used to determine if you're trustworthy.

If you don't know how to get access to those Discords, you wouldn't know that they exist.
Setting aside the silliness of that definition of magic, there's a huge leap between "I can't explain it" and "It can't be explained".

There are plenty of explanations of how LLMs work, by their creators, incidentally.
Ads will appear. People will pay money to have their company/product injected into AI responses for relevant prompts. There will be controversy over how obviously (or not) the ads are labeled as such.
Daan Leijen's papers on Algebraic Effects are top notch.

https://www.microsoft.com/en-us/research/wp-content/uploads/...
If you see the counter-arguments are coming from historical and cultural stuff, then you are making wrong assumption here. At least not in this branch. Literally you are the first one to mention this argument.
Stuff like "Make sure to use real numbers, not fractions." seems like such a weird and fragile way to write a program.

I thought the point of Microsoft Guidance was that we could specify a grammar or regular expression that the output must match?
Meiji Era and AI: History Lessons for a Global Enlightenment
How Japan's First Industrial Revolution can help us to plan an inclusive AI revolution without high unemployment
The true story part is hilarious!
I remember when C++ was touted as a superior language to Java because C++ has support for multiple inheritance.
I think their point is that the original failed, because it became what it is now. We need something without the same vulnerability.
I don't understand your assertion of gaslighting or smugness, honestly. Koch and Murdoch do not enter into the point he is making, and neither does the standard climate denialism that these two devils have perpetrated on so much of the population.

Instead, the accusation is that ostensibly "environmental" groups are prioritizing "human enjoyment of green environments" over actual ecosystem preservation and climate action.

This is a trend for all the environmental groups that have not updated strategy since the 1970s. Preserving our current economy, our current system, means certain ecocide. Yet these groups are entirely set up to preserve the status quo, rather than accelerating drastic change to the economy and human systems.

In my local town, this manifests as aged people advocating to stop the construction of a building that could house 100 people, because 3 urban trees would be cut down, while at the same time accepting that those 100 people will not be putting pressure on housing in further away, more sensitive areas, where housing will result in hundreds of trees being cut down. In short, they are preserving their view, preserving existing human structures, instead of allowing the needs to humans to be met with the lowest environmental impact.

This is also manifesting as people blocking newel student housing on campus, using "environmental" laws, even though the result is that these same students must now commute long distances at much much higher environments costs than being able to live on campus.

Perhaps the CPRE and RSPB are different than what's going on in the US. But here in the US, the backwards "environmental groups cause more damage locally than even Murdoch or Koch, and do it hypocritically. To me, this makes them villains greater than Koch and Murdoch, at least in local action.
> HN story where someone got a CS degree in three months by speedrunning the tests

That does not inspire confidence at all.
I've purchased a lapdock for my Galaxy Fold precisely for this reason. My MBP is almost 10 years old, and when I looked at buying a new one, I saw that it cost $400 to bump up the RAM from base model 8GB to 16GB.

No thanks! My phone has 12GB; I'm going to be using that for general computing and RDP into my Macbook when I need to.
Given how concerned brands are around objectionable content I can't see too many risking an offense or absurd ad being produced from an AI. Companies hate it when their ads show up next to racist/sexist/gross content, imagine how they would feel about their own ad being overtly offensive.
I have found that for many websites, putting it into Reader Mode and then refreshing the page gives a better result.
I think it should be pronounced /dʒest/ [0]

[0] https://dictionary.cambridge.org/pronunciation/english/jest

Edit: I just updated the project's README to include this detail. Thanks for making me think about it !
Yep, there's no way to keep the water out: https://sealevelrise.org/states/florida/
The oral argument for this case was an entertaining one to listen to. I mean, relative to others. The whole thing is so understated that little stuff stands out a lot.

First we get this exchange, in which EK interrupts T to make a joke. They try really hard not to interrupt each other normally. Her timing is perfect. [0]

> T: Let's say I'm a Prince fan---which I was in the 80s---

> EK: No longer?

[T is derailed for a solid ten seconds.]

[T proceeds to lay out a hypothetical in the first person, where he is the one being sued.]

That hypothetical is brought up again later, this time by SS, with another joke for T. [1]

> SS: I think my colleague, Justice Thomas, needs a lawyer. And I'm gonna provide it.

Then we get a great show from my favorite SCOTUS lawyer, Lisa Blatt, who always tells it like it is, as she challenges my favorite justice, EK, on her reading of a lower case. [2]

> Blatt: I think that's very unfair to 3 members of Article III [aka 3 judges] who three times said meaning and message is relevant---

> EK: ---3 members?---3?

> Blatt: what they---3 times---what they---yes
[Laughter from R, I think.]

> Blatt: ---well, it's---I find it insulting to the 2nd Circuit panel...

[R still laughing.]

...

> Blatt: I mean I could just keep reading you quotes, but you know how to read a decision as best as I do, but on the very same page they're yakking about, it says...

...

> Blatt: They had a district court opinion that went, completely: This is a Warhol, and Oh my god it's a Warhol!, so it's transformative by definition. And the 2nd Circuit said, No, we're not gonna do that here.

[0] https://www.youtube.com/watch?v=RR1jnZCVbNM&t=1953

[1] https://www.youtube.com/watch?v=RR1jnZCVbNM&t=2200

[2] https://www.youtube.com/watch?v=RR1jnZCVbNM&t=3087
How do you know it hasn't 3x their output? For all we know this app was written by one guy while he was waiting for his code to compile.
Costs vary quite a lot by location in California so averaging over the state is losing some information.

At my local Five Guys in LA, a cheeseburger is $11.79, compared to $9.84 on that site. Ten times out of ten I'd just go to In-N-Out.
The next 5 years will be the hottest yet
Then ban all social media altogether.
yesss, been waiting for this, though I've waited long enough that I forgot why I wanted it.

it hasn't been that long, I'm just an airhead.
There’s too much focus on AGI.

Language models do not emulate human minds - they are models of language. The emergent behavior from these models are only a side effect of their main training task, which is to build a model of all meaningful sequences of words. We then use RFHL to bias the model toward a small area of the language latent space which conforms to our idea of intelligent behavior.

Humans (a GI) have zero ability to do language modeling. Human equivalent AGI would similarly fail at this task.

The technology behind language models is more important than general intelligence - it is a universal induction engine that can model (and truly understand) the latent structure of any signal.
They would run fiber to do that though. Hence GP's point that they will run SOMETHING.
Not sure why UK isn't mentioned, hitting 42% from wind and solar in Q1 2023 [0]
[0] https://www.bbc.com/news/science-environment-65557469
The thing about LLMs that is revolutionary is just how fast you can find a solution to a problem or expand on answers to a problem even to the point of generating a realistic computational-mathematical model of the problem.

For example, the author brings up Kepler, so let's ask:

> "Please explain in concise terms how Kepler used Tycho Brahe's observational data to come up with Kepler's three laws, on ellipitical orbits sweeping equal areas and the square:cube ratio and so on."

Now I want to see if I can build a computational model of Kepler's Laws:

> "Is there a popular orbital mechanics library for the Python language capable of expressing Kepler's Three Laws in code?"

Okay, now I want a simple model to build in code:

> "How would I go about using poliastro to build a dynamic model of the solar system in silico, starting with just the Sun and the the planets Mercury, Venus, Earth, Mars, Jupiter and Saturn?"

Now trying to use Google Search or anything similar to do that, okay maybe you'd eventually find some forum board or stackoverflow physics discussion of orbital dynamics, but this is an incredibly quick entry point to a complex and obscure subject. Of course, you'd want to use Google Search to check the answers to some degree, maybe see what the real astrophysicists are using to run their models, but there's no doubt that this whole thing is a pretty fundamental game-changer, at least for people who understand its limitations.

P.S. the real question will be if we can build AI systems capabale of generating Kepler's Laws from Tycho Brahe's data, instead of just a predictive model. A similar issue is if these AIs can construct novel mathematical proofs.
More accurately, you are fine until you try to distribute them, or display them. Giving out free copies would not be commercial, but would definitely be a violation.
Langchain: Fixing GPT-3.5 Agents[video]
why does _literally_ every line start with "try"?
I didn't make this video but I found it and the code very useful if your trying to play with GPT Agents.

The video discusses the combination of Lane chain agents with GPT 3.5, highlighting a problem with their current implementation. The problem lies in the difficulty of Lane chain agents in determining when to use tools. The video presents an example and proposes a solution. The solution involves compartmentalizing tool tasks using three components: a vanilla chatbot, a director to evaluate tool usage, and a GPT 3.5 agent for tool-related tasks. The code for the GPT 3.5 agent is also provided.

https://github.com/d3n7/Langpain
Ask HN: Any digital agencies that care about outcomes and not just deliverables?
Digital agencies seem to get a lot of criticism in the tech world but I wouldn't mind working for one again if the job culture is right. Plus you get the opportunity to use many front-end and back-end web skills to stay well-rounded.

But what I want the most is having an incentive to actually fulfill positive outcomes for the clients. And actually see my work make a difference. I don't care for the "churn and burn" mindset where agencies just sign off contracts and only care that they are paid for deliverables. I want agencies that actually care about creating profits for their clients. Are there any out there that operate in this fashion? I'd like to discover some.
What if we paved the earth? The entire earth!
> getting away from all the noise traditional social media has.

Why do you presume the general population actually want to get away from "the noise", or that they even consider it noise? They're the ones making the stories and posts and aren't so happy that you called their feed "noise".

I think the future of social media looks a lot like Instagram, because that's where social media is today, and it's crazy, I know, but some people actually like Instagram.
For what it's worth, the site is not from an English speaking country, and c/k/q are common points of confusion for ESL
There is more there (which is implicit to that specific piece):

http://incompleteideas.net/IncIdeas/DefinitionOfIntelligence...

"John McCarthy long ago gave one of the best definitions: "Intelligence is the computational part of the ability to achieve goals in the world”. That is pretty straightforward and does not require a lot of explanation. It also allows for intelligence to be a matter of degree, and for intelligence to be of several varieties, which is as it should be. Thus a person, a thermostat, a chess-playing program, and a corporation all achieve goals to various degrees and in various senses. For those looking for some ultimate ‘true intelligence’, the lack of an absolute, binary definition is disappointing, but that is also as it should be."

He then goes on and give a precise definition:

"Intelligence is the computational part of the ability to achieve goals. A goal achieving system is one that is more usefully understood in terms of outcomes than in terms of mechanisms."

When I first encountered ChatGPT, it prompted (as with many others) a reevaluation of my model of the mind. For whatever reason, intelligence was conflated with consciousness for me and the encounter was the catalyst of breaking free from that. Independently in short order I arrived at the notion of kinds and degrees of intelligence, as in the first quote. It now seems perfectly clear that intelligence, mind, and consciousness are 3 distinct things.

At this point still holding the line regarding mind and consciousness, but it is clear that in the computation game, we will lose to purpose built machines.
Is anyone aware of any studies done on the long term effects of beaming photons to your retina from that close distance?
Probably for regulatory reasons. They will eventually release it in all the app stores, but OpenAI has a lot of lawyers and they are very cautious.
I’m not sure I’d say more important, but definitely of equal importance. Especially in terms of how people perceive public transit; i.e. is it just for people that can’t afford a car, or is it clean, comfortable, and a viable alternative to a car?
I used signald, pysignald, and ChatGPT-bot:

https://pypi.org/project/chatgpt-bot/

I can probably publish the code somewhere, if you're interested.