skysight-inc/HackerNews huggingface dataset:
And like, a great salesman wouldn't offer you more of the same product but try to either expand into similar products (you like gel pens? here are some mechanical pencils) or hit you up with complimentary products (what good are gel pens without a nice squishy writing mat? and i bet you're going to need a lot of paper!).

Amazon sort of handles these things in the Amazon UI with "people who bought X also bought Y" but they really should be showing that for their ads: instead of "here are results for your recent search" (which likely shows you the thing you already got) it could do "here are things people who buy stuff near the top of your recent search also buy".

Regardless, as far as I am concerned, the best commentary ever on this topic was CollegeHumor doing the Targetted Salesman skit, where the ad engine is represented by a human salesman shoving products at you all day: https://m.youtube.com/watch?v=KbKdKcGJ4tM
You don't want to worry about people who can't ride bikes until more people ride bikes?

Not everyone can walk, for one thing. What percentage? I dunno. Should we ask the ADA to stop pestering us about those damn people who keep complaining about not being able to go up stairs?

There's a lot of overweight people in this country. Over 40% are obese. Should we just not give a shit if they can get around? Again, it seems that, unfortunately, the government actually does care, a bit.

There's the elderly. Your grandma may be racing around town in her 90s, but my grandma cannot use a bike.

And there's families / single mothers who don't have child care and can't go run errands without bringing their kids with them. There are bike-things that sort of work for bringing kids on bikes, but many find it dangerous, they're expensive, bulky, and just not convenient when you need to also bring home groceries.

These are real people with real problems that should be considered when we're building the future of cities.
> When a corporation

That’s not what was said which is that ALL corporations should be presumed to be doing this unless proven otherwise.
I agree with most of what you said, but I would quibble with how costs are passed on to consumers. passing costs on is a lot more complext when goods are not being sold at their margional production costs (e.g. someone has a profit margin).

>To an extent this is true. But this argument is also used to say that renters don't pay property taxes. Maybe not, but property taxes have a direct, proportionate effect on the rent that they pay.

When you have makets with a gap between production cost and the market price, there is the possiblity that the seller simply eats the cost.

Imagine wallmart selling widgets with a profit. If the price of the widget is already set where the marginal profit for increasing the sticker price is zero, This holds true even if production costs go up. i.e., raising the price still results in fewer sales and less profit, independent of production cost.

In terms of housing, if nobody can afford higher rent, landlords cant raise it without more vacancies. In that case, tax might come out of their profit and not be passed on.
>> Just because we know the definition of something, doesn't mean we know all there is to know about it. Every mathematician knows that.

Well, I don't know about mathematicians. I'm a computer scientist. I study computers. And I know that the behaviour of a computer is entirely determined by its design, and its inputs. If a computer is doing something that is not in its design to do, then that's because there is an error in the implementation of its design. And if it's difficult, or impossible, to anticipate the behaviour of a computer, that's because it's programmed to do something unpredictable- like in my RNG example above.

Computers are machines. Programs are other machines, running on computers. There are no spirits in any level of a computer's functionality, no magick, and no metaphysical mysteries to solve.

Maybe that's not how it works in other sciences, that study the natural world, where there are too many unknowns. But in computers there are no unknowns. We make them, and we know how they work.

Regarding LLLMs, we know why they're so good at what they do, because we know what they do, because we are the ones who made them to do it, and we know that what they do gets better the larger the number of parameters and the larger the data they're trained on. We've known that for decades.

And as to "emergent behaviour", that is just asking for a mystery to be there, when no mystery is anywhere near the whole thing. "Emergent behaviour" just means what I say above, that there's a complex system that displays behaviour that is difficult to predict, even if its design principles are very well known.

There's a time to wonder, and wonder is the seed of science. But to wonder about a machine that is doing what it's designed to do, is not the wonder that leads to science. That kind of wonder, well, it reminds me of the old joke:

They ask a mystic what is the greatest mystery in nature.

"The thermos!" he says. "It keeps my tea hot in the winter, but cold in the summer. That little bottle! How does it know?"
Mario used his coins to purchase one at the dealer in New Donk City
I don’t have any insider knowledge or anything but only suspicions - I have friends who have developed relatively simple browser extensions like dark mode ones / filtering ones etc.

Once they get to like 100k DAU popularity level you’ll start getting emails from people who claim to want to purchase the extension from you for a few thousand or “sponsor” the development by supporting you with ads.

You either sell it, or include some JavaScript that later (few weeks) turns malicious and starts harvesting.

That’s probably how. Like I say, I have no idea if that’s how these people work, but it seems a likely attack vector.
Because on a policy level, it's often treated that way.
If someone came out with another drink called Monster, fair enough, that's what trademarks are for, but otherwise absolutely. Use a word or phrase that existed before and you should have no hope of defending it as a trademark.
Cities & Knights is pretty good too, quite more dynamic, and can combine with Seafarers.

Playing with Helpers also modifies the game enough to try more strategies if you are stuck. The "Marianne" helper, for example, can really be a saving grace during a sequence of bad rolls for you.
Man, I got a story not with Streams but with its C# cousin, LINQ. A long time ago I've seen a senior engineer totally lambasting a junior because the junior used a LINQ ORM.

He saw DB.Users.Where(a => a.Id == 1) on the screen and launched a tirade of "Are you retarded? You're downloading the whole Users table when you do that!"

It was fun watching our boss explain how LINQ worked and seeing the shame in the engineer's face.
Awesome. They fired him after he'd become burned out and snapped, but were perfectly happy to let him grind away day and night for years while the rest of the team was twiddling thumbs.
I think you forgot the only Bond movies who dealt with direct Soviet threats were :

- From Russia With Love (Rosa Klebb secretly works for SPECTRE but is a KGB operative so let's count it)

- Octopussy (vilain's a defector)

- The Living Daylights (defector also)

It's in Goldeneye that is created the idea that James Bond constantly fought the Soviets. I don't fault you for thinking that it's an easy thing to illustrate your point, but I like my James Bond and I like him because he's always fighting weirdo rich assholes, not the Soviets.
I wish brave would focus less on attracting advertisers and more on the use case where people just buy BAT and let their browsers fund content creators from the wallet without having advertisers in the loop at all.

I'm perpetually on the edge of doing this but I haven't because I want

- a way for sites to transparently "cite their sources" so that, for instance, the field-work guy gets paid, not just the writer.

- more granular control over auto-contribute (implicit 1×, with a button to tweak to 5× or 0×)

- community curation so if I 0× a site for being shady about how it got my attention, people who trust me will have it at 0× automatically

- links to community 0×'ed and 5×'ed sites appear in different colors to cue trustworthyness before I even click links to them
I wonder if they will go after Disney/Pixar for Monsters, Inc
What's stopping those 4 patches from being upstreamed?

What advantages or disadvantages am I getting from them?
I'm sure Nintendo isn't fond of giving 30% of their revenue to a duopoly, either.
Green Goo: Life in the Era of Humane Genocide
Nextjs template to train your own custom GPT
- cites sources
- perplexity style UI
- Scrape Webpages
- Upload Files
-> Chat
> What? Whoever is discussing that is still living in ~2010.

No, they're just living in the west.

It doesn't matter if mobile is the biggest segment in the industry of videogames, plenty people regard it as an inferior product. Even some parties treat the Steam Deck as inferior because it can't attain the same power as pc/ps5/xbox
For context, this isn't the first time they've done this.

From Wikipedia:

> Examples of such lawsuits include the aquarium hobbyist site MonsterFishKeepers.com,[55] Bevreview.com, a beverage review site that published an unfavorable review of the Monster Energy drink[56] and Rock Art Brewery from Vermont that marketed a beer named "Vermonster".[57] That case was even brought up by Senator Patrick Leahy in a study of problematic trademark litigation tactics.[54] Monster Beverage dropped the lawsuit against the microbrewery due to the adverse publicity the lawsuit generated.[58]
Spellbound: Autonomous and goal-seeking coding agents in VS Code
The one thing I've been mulling over in regards to this is that it is theoretically possible for a less intelligent agent to ensnare a more intelligent agent.

For example, Ted Kaczynski is currently in jail, and it's not because his captors are smarter than him.
> Some stuff is less damning than it sounds

This takes the paper at face value and I would suggest the paper is misleading. For example, the paper says...

> However, alternative explanations for the distribution of remarkable age records appear to have been overlooked or downplayed.

After reading through the original blue zones work and this paper, they didn't make a case that alternative explanations were overlooked or downplayed.

For example, when they did the blue zones work they had to spend a lot of time making sure the data was good and many places were dismissed for bad data. This paper puts a lot of focus on bad data. No kidding.

The paper puts a lot of time into covering bad data in the US. But, then doesn't take the time to point out any issues with the US blue zone.

In a place like where Sardinia Italy they call out things like the murder rate being high and a low survivability rate to 55. Except it doesn't look at people in different age groups where "blue zones" tend to be going away as younger generations eat a different diet.

There are levels to the analysis that are missing which makes the conclusions a bit misleading.
Yeah, I agree - Bitcoin in its current form is unsuitable.
Library curation is a massive amount of work. Pretty much the reason I end up using falstad instead of a SPICE is because I end up spending all day tracking down and debugging issues with simulation models.
The status is zero sum, wealth is not. We all live in bigger houses with more amenities and greater food security than our ancestors.
Yes! We do support basic image blocks today, but the idea is that we’ll integrate generative media types as new image/video/audio models become more reliable & stable.
> Last summer, the Democrats passed a flat 30 percent federal clean energy tax credit, which replaced a tangle of continually expiring ad hoc tax credits.

> With that discount now available for any new wind or solar installation — and increased regulatory scrutiny of pollution and climate impacts from coal — the economics of coal increasingly don’t make sense, a series of recent reports by IEEFA and others have found.

Good job, US Government.

Separately though, I wonder if we shouldn't keep a few of these coal plants on some type of minimum possible electricity generation. There are multiple studies that show that SMR (small modular nuclear reactors) could be placed inside discontinued coal plants, and make them zero emission power plants (see for example [1] and [2]). Since a lot of the cost of a nuclear power plant is the non-nuclear turbine and the transformers and all the stuff required to hook the plant to the grid, that would help a lot for a nuclear renaissance.

[1] https://www.iaea.org/newscenter/news/repurposing-fossil-fuel...

[2] https://www.utilitydive.com/news/coal-plants-retire-advanced...
"it's monster hunting time!"
Are they all that bad? [1]. I’d be ok using a few 100gb on my laptop, given that storage is so cheap these days.

[1] https://github.com/nat/openplayground
https://en.wikipedia.org/wiki/Generic_trademark

Xerox was eventually successful (at least in US), but there are cases like Bayer's Aspirin (surprise!) that were genericized.
Good old https://www.dnsleaktest.com/what-is-transparent-dns-proxy.ht...
As is Mazes and Monsters.
I don’t think the problem is that it’s a third party.

People develop for third-party systems like the PS4 all the time and it’s fine.

And old software works on Windows pretty well.

Rather, Apple and Google don’t value backwards compatibility that much.

So you just have to know what are the priorities of the platforms and software that you use.
If you want to compare it to genetic engineering, the recklessness around AI is at the level of "let's release it into the wild and see what it does to the native flora and fauna."
Ask HN: Can social media sites use LLMs to make bots that simulate their users?
For example, would it be feasible to augment GPT4 by additionally training it on a particular user's social media comments to create a bot that can simulate that user (but with all of GPT4's capabilities still intact)?
Though it hardly gets any use because s/// is so much more flexible, Perl also has a tr/// builtin that replicates the behavior of the command line tool.
> That's good to know because, for important things, I test the archive before throwing the original data away.

Compression corruptions are worse then regular corruption due to the cascading impact. A corrupt sector can be replaced inline but a corrupt compressed file will generally destroy everything downstream from the error.

Big +1 to actually verifying the round trip. Backups that aren’t tested through an actual restore are like theoretical war plans vs reality. No plan survives first contact with the enemy.
I agree, there's plenty of room for bike lanes. I've no interest in commuting by bike myself, but I 1000% support plenty of bike lanes and they need to be physically separated from the car lane. For everyone's sanity.
> Given a data model and information about the data (relationships, intents, groupings, etc.) output a fully deployable service. From unit tests through container definitions, and everything I can think of in-between (docs, OpenAPI spec, log forwarder, etc.)

AWS roughly has one of these in Amplify. The data mapping parts are pretty great, though lots of the rest of it suck. The question I'd ask is if those parts suck by nature of the setup, or is it just amplify that has weird assumptions
While thank god the offerings of premium games are becoming more numerous by the year a minuscule minority go to the play store to spend money and Nintendo knows that.

It's curious to see square enix spitting $15 games one after the other after so much time, maybe they have found their niche?
Keeping Nonsense Marks Off the Trademark Register (2021)
Search engines aren't a replacement for the original data, they're a way to direct traffic towards it.
Ask HN: Have you been able to achieve outsized returns in markets?
Have you been able to achieve outsized returns in markets? If so, what strategies did you use?
If you need minimum wage to survive, you’ll work for minimum wage. If you don’t need minimum wage to survive, you’ll demand more money to work, or work to improve yourself, or just not work.

The point remains that it’s harder to find cheap employees. So the cost of labor goes up. So prices rise. Specifically they rise until the poor folks must work at a low wage to survive again.

Also, prices absolutely rise when there is a surge in demand. That’s literally economics 101.
Realistically, if Russia were to use nuclear weapons, they would completely lose Indian and Chinese support, the last two nuclear powers currently playing nice with them. So long as something debilitating is the consequence of nuclear weapons, Russia will abstain.
My best friends are those I play catan with regularly. There is no other game so enjoyable, which can inspire such anger towards friends for their transgressions, yet allow such easy forgiveness. Rest in peace, Klaus.
> Is anybody serious claiming it is?

Most Americans.

https://www.nytimes.com/2016/11/01/health/americans-obesity-...
Have a look at this research paper[1] and follow-up post[2]. The upshot is that the researchers trained a model of the same shape that the main language models are to play Othello. The model started with no knowledge of the game, and was fed a bunch of move sequences (e.g. "c4 c3 d3 e3"). The researchers were then able to take that model, and figure out, by looking only at the activations, what the board state was. Changing the activations so that they modeled a different board state caused the model to play moves that made sense with the new board state, and did not make sense with the original board state.

And then the follow-up research[2] established that, not only can you determine the board state by looking at the activations, but that you can trivially do so. Specifically, if you look at the residual stream after layer 4, you can build a linear classifier for whether each of the 64 squares is empty, and whether each of the 64 squares contains a token owned by the player whose turn it is. If you bump the values in the direction implied by each of those classifiers, you can make the model output moves in the same way as if the tokens on those squares had the opposite color. There's even a colab notebook[3] you can play with.

That research was on Othello, not chess, but I'm pretty sure that "LLMs are able to develop models of the world if doing so helps them predict the next token better" generalizes to chess too.

[1] https://arxiv.org/pdf/2210.13382.pdf

[2] https://www.neelnanda.io/mechanistic-interpretability/othell...

[3] https://colab.research.google.com/github/likenneth/othello_w...
Give the history between the assumed parties, I doubt founder would be trying to take that domain name. He lost a lot in court already
a few reasons to list job ad when not seriously hiring:

1. collect resumes for when you are hiring

2. to look like a healthy, growing company even if you aren't

3. to find people who are desperate who you can underpay (smaller owner-run companies are more guilty of this)

4. to lure in people with a more interesting job ad than what the company really needs, then try to convince the candidate to fill a position for a less desirable or lower paying job
Genesis infect your computer with a persistent malware (the "bot" as mentioned in the article) which let their customer who bought access do anything on the infected machine. There are plenty of way your computer can get compromised, which will install the botnet client as the final payload.

https://netacea.com/uploads/genesis_market_report_2021.pdf
I’ve always been very curious about this, I was on a grandfathered 60$/year plan until they arbitrarily banned me (I assume in the hopes of increasing revenue).

I would assume $10/month (1/4th the price) “unlimited” would sell 5x as many subs.
Evolving abstractions within and around compilers to support modern HW and apps
Check out the others work from Benedikt Bitterli, it's very good
hiring posts can be edited without timelimit. also i would put the email in the profile, then you can removed it from there any time easily. i also 'obscure the address as name at domain. never got spam despite posting many times.
Can solve two "LeetCode hards" in 40 minutes.
it should be. I keep thinking it about starting a company that builds tooling to fuse all that state together...and then I remember what its like to try to get product traction with developers
Catan: the only game which has caused me to jump screaming out of a window and run around the house in anger.

And then come back and keep playing.
> Well, I don't know about mathematicians. I'm a computer scientist.

Does an LLM gain "consciousness", like ours? I doubt it. There is a doubt here though, because while I know how an LLM works, I don't know how we work. Can an LLM, through training, gain an "understanding" that rivals our notion of consciousness and can in fact simulate it, purely through mathematical models it forms? Well, you are not a mathematician, so how would you know?

You say we have known for decades that LLMs would work? Liar.
> Re: OODA loops

I had never heard of those, or PDCA before, but I'm working on a startup in this space (AI Agents), and found PDCA by just using bing's suggestions i.e. OODA loops vs ...

Anyhow, I think PDCA looks more promising actually, a little more logical/analytical IMHO.... but don't take my word for it, here's what gpt4 had to say :

Which would be a better framework for AI agents working in steps and loops to complete tasks? OODA or PDCA?

Both the OODA loop and PDCA (Plan, Do, Check, Act) cycle can be applied as frameworks for AI agents to go through retrospection phases or steps while performing tasks. The choice between the two depends on the specific context and the desired outcome of the retrospection process. Let's examine both frameworks in this context:

OODA loop:

Observe: The AI agent gathers information about its current task, the environment, and any potential obstacles.

Orient: The AI agent processes and analyzes the collected information, updates its understanding, and identifies possible actions.

Decide: The AI agent chooses the best course of action based on the available information.

Act: The AI agent executes the chosen action, observes the results, and adjusts its approach as needed.

In this context, the OODA loop is well-suited for situations where the AI agent needs to make rapid decisions and adapt quickly to changing circumstances, such as real-time or highly dynamic environments.

PDCA cycle:

Plan: The AI agent develops a plan or strategy for accomplishing its task, based on its knowledge and understanding of the problem.

Do: The AI agent executes the plan, carrying out the necessary actions to complete the task.

Check: The AI agent evaluates the results of its actions, comparing them to the desired outcome or goal.

Act: The AI agent makes adjustments or improvements to its plan based on the results of the evaluation, and then iterates through the PDCA cycle again.

In this context, the PDCA cycle is more focused on continuous improvement and learning, making it a better fit for situations where the AI agent has a clearly defined goal or objective and can iteratively refine its approach over time.

Ultimately, the choice between the OODA loop and PDCA cycle depends on the specific requirements and goals of your AI agent. You may even find that a hybrid approach, combining elements from both frameworks, is the most effective solution for your AI agent's retrospection process.
After you compile the answer I would recommend reading "Fooled by Randomness."
But Yvonne's funeral is recorded in contemporary newspapers, saying it was well attended and their was a viewing at the home. There is a death certificate signed by the parish priest and a notary. This swap wouldn't have been simple. And we have all the relevant records from Jeanne's life, none were destroyed in WW2 that I know of.