skysight-inc/HackerNews huggingface dataset:
It's giving everyone in the country the same amount of voting power. That's not defying the will of anyone.

Stop focusing in on exactly how individual electors would supposedly defy things, because the point of the compact is to make electors irrelevant, and the overall outcome follows people's will perfectly fine.

Consider this: If states traded pairs of electors with each other your logic would call that defying the will of the people, even though it would change nothing about the outcome. Because now they're not voting directly based on what their state said. Your logic is wrong.
Cloudron and yunohost are distributions. They provide managed updates.
I do not know the OP and I cannot prove or disprove any claims they make about their life, but I can indirectly attest to the following: I was competing around 2008-2010 at the regional level of the ICPC in Central Europe and indeed, our team's approach at the time had some memorization aspects as well. (Our university had a significant amount of support for the competitions, with some coaching as well as a course that consisted of weekly practice contests.)

We never won anything, so I would not dare claim we competed at a highest level. As far as I remember, most of our preparation was about "recognition" -- how to tell if a greedy approach is optimal, or how to recognize if a dynamic approach fits. And of course, how to write a program quickly and not forget any corner cases.

I remember having daydreams back then of memorizing a max-flow algorithm or potentially even a linear programming solver and then quickly retyping it at a competition. Flows and LPs indeed solve a lot of stuff (LPs are P-complete). I admit I never did that, and it wouldn't be a winning strategy there anyway.

PS: Oh, and contrary to the poster above, most of my friends from the university days would be and indeed were great hires, judging by their jobs at Google, Microsoft and elsewhere. Some others, such as the actual ICPC winners from our university, ended up pursuing academic careers -- but I dare not say they would have a bad time in the industry.
Wow.

The person that does the work.

Yes the waiter cooked the food, cleaned the dishes, bussed the dishes, seated the table(politely!), and so on. They did the work.

I worked in a restaurant with tip sharing. The point behind it was, motivation by every step in the chain, for all persons, to do a good job. To compensate for a job well done.

So that even the dishwasher, would take time to endure glasses spotless, to put that little extra touch.

And all were hired, including the waiters, with this understanding.

Which means, you are advocating theft from coworkers!

If this is indicative of how waiters think today, I will be paying by card, and tipping by card.

To ensure a waiter doesn't steal from their coworkers, if tip sharing is a thing.
Building a Multi-User Chatbot
They already died imho.

Lets admit it - previous research loop was going for a google search then iterating on results, which takes time and effort. LLM based research (although could be misleading) is just much faster and more suitable for natural language.

It happened.

This doesn't mean that Google will be obsolete, if it leverages its collected data so far it will be a strong competitor. But Google isn't leading at the moment.
This looks similar to shell_gpt[0], does yours do anything differently?

[0] https://github.com/TheR1D/shell_gpt
The drive to reforest large swaths of the planet—a total area the size of India—also comes with risks such as displacing people, negatively impacting livelihoods with the loss of agricultural lands, and trading biodiversity for carbon gains with plantations. So, the added cost of designing projects and monitoring outcomes for more than just the number of trees and tons of carbon will be well worth it.
Buffett is continuously buying, Berkshire's equity positions are in the public record. You can google "Berkshire 13F" to see public US holdings.

Credit Suisse was troubled for a long time, their controversy section on Wikipedia is pretty crazy ( https://en.wikipedia.org/wiki/Credit_Suisse#Controversies )

Global oil prices have been steadily declining for months, electricity is much cheaper again in Europe and many supply chain bottlenecks have been resolved. This will put a strong break on inflation going forward
I've only toyed with ChatGPT, but what I like is that it knows about stuff I don't. I'm reasonably informed about the tools, practices etc. in my field, but I don't know everything, and it's been trained on all kinds of stuff I've never heard of.

In practice the stuff it will suggest to me is sort of random, it may or may not be the best choice for the task at hand, but it's a form of discovery I didn't have previously. The fact that when it tells me about e.g. a new library it can also mock up some sample code that might or might not work is a pleasant bonus.
Past performance means nothing.

Intel was also growing fast until it didn't. We all know why.

Especially because Google has exactly one revenue source. MSFT and other companies are at least somewhat diversified. But Google is incredible vulnerable right now.
How often we've heard these sentiments. "If only sensible people (meaning the ones who agree with me) made the rules..."
I needed to write a spec for a DSL I've written and I did part of it myself, fed that part to GPT4 and had it write the rest of the spec.

It required some small edits but saved me 3 hours of writing.
Wait until you are trying to buy food/gas &in a town after the internet and/or power is out. That has happened to me many times ... in north america... in only the last few years. Perfect network connectivity is only a norm in big cities.
Apple and Microsoft are bigger than Google and both have managed to show a lot of innovation in recent years.

Google's problem isn't size. It's their poor product management.
I don't think there's anything inherently different algorithmically or conceptually.

Our brain is just billions of neurons and trillions of connections, with millions of years of evolution making certain structural components of our network look a certain way. The scale makes it impossible to replicate.
A similar one that is also rarely attempted AFAIK is Jury Nullification [1] I've heard it suggested to be used to be disqualified for jury selection but have no idea how many people have actually tried to use it. i.e. that ones states to the lawyers during jury selection that they believe in the use of invoking it Here's [2] a video about it.

[1] - https://en.wikipedia.org/wiki/Jury_nullification

[2] - https://www.youtube.com/watch?v=uqH_Y1TupoQ
I'd guess you took what OP meant a bit too literally, I'd say that there's so many things to change, campaign for, convince that even if you say convince enough people to vote to change this law, there's already another rolling your 'win' back being prepared, backed by interest groups with much deeper pockets.

So in the end your individual vote does little, because real power is at the hands of much better resourced interests.
Chinese? The concerned oversea.
> Top-level competitive programmers have libraries of functions and algorithms that they copy-paste from, and so the end result is more like a spelling bee than anything else.

I don't think you've kept up with or watched any "top-level" competitive programmer solve problems. Saying all competitive programmers do is copy-paste is like saying all programmers do is google.
"Sexually oriented" dating sites are on the list. So...dating sites generally? Except I guess those specifically catering to asexuals?
I feel a bit out of the loop here. Google's search engine results have only ever been getting progressively better over time from my perspective......?
there are few other corps with cash piles who compete for innovative startups, namely MS invested in OpenAI
Trying to land your first product role? This is how to do it
Or Google did.
While I could agree with you about those "!" "?"

then definitely disagree about implicit using or file scoped namespaces

There's nothing new in terms of keywords about them, concept itself very simple

and makes code more readable and shorter, that's it.

It's just: "hey, some namespaces are very, very popular - let's make it this way, that you don't have to include them everywhere"

and "hey, why every code is one level indented if everyone is using one namespace per file anyway?"

It just simplifies stuff, can we honestly call it an expansion of language?
Let's be fair, the US has installed and supported plenty of dictators in Europe. In Greece, Spain and Romania at least the US has strongly supported the dictators there.
This is a very limited view of the things people use search for. You still need links and a way to browse through the results. And for many queries you need factual up to date information. LLMs don’t do “local supermarket opening times” and “coffee near me” - or the ones that do run a search query anyway and give you back the results.
I’d argue intellectual property existed earlier than that, as soon as states (or guilds) considered certain techniques and skills exclusive to them.

Off the top of my mind, with a solely European view the Venetians moved glass production to Murano in the 13th century at least partially to make a monopoly on luxury glass. World History was awhile ago but other restrictions on technology transfer existed by at least 800 CE and probably in a limited sense well before 1000 BCE.
I think it is entirely reasonable to tax or even heavily tax private property and profits so that we can supply necessary water, food and shelter to all of the population.

Reasonable amount of water and food should be in reach of every citizen. Does not mean production of those have to be privatized, but maybe margins can be limited when it is bought from open market.
Bard seems to be pretty impressive as well and it seems to be a mix between a GPT and a classic search engine, queries seem to be able to handle information about both current and future events. It's naive to believe a giant like Alphabet with $100B in the bank won't adapt, perhaps they will incorporate Bard into Google Search or keep them separate services with part of Bard powering Google, YouTube, Gmail, Drive and other platforms.
What's Red Hat's business model here? They seem hell bent on destroying Docker as a company but what's the end game there for them?
Past performance does mean that you have a larger bar to cross before you can claim the company is dying.

And yes OpenAI is the trend right now but the jury is still out whether it will augment search or replace it.
> Life is absolutely everywhere you care to look.

The prevalence of life everywhere on Earth, and the complete lack of life everywhere not-on-Earth in every place we've looked (so far) - the moon, Mars, asteroids, etc, etc - are equally fascinating.
Peter Schiff has predicted 23 of the last 2 recessions.
They can't fix it, but compiler teams can.

It's a testament to those unsung heroes that most high-level language users can remain blissfully unaware of how much is automatically fixed by compilers in their emitted instructions.
that's abusable, as you can manipulate gpt however you like.
The iPhone sorta has this with Focus Status Sharing and auto-reply to texts turned on. Clumsy/has caveats and is not quite what you said, but close enough to mention anyway.
I think companies are fine with sending confidential data to Microsoft (Office, GitHub, Azure...). It's just so far unclear with ChatGPT if that data can come back out. It has apparently already leaked some user queries, so that was a very reasonable concern.

If they put it in Office and guarantee siloing information the legal departments will just have a regular contract to review and approve.
We don't have to wonder. DAO, FTX, Genesis, Three Arrows, BlockFi, Celsius, etc.
Show HN: Spacy Dependency Parsing Visualizer
As a frequent user of the Spacy library for NLP (https://spacy.io/), I noticed that it was quite difficult sometimes to know what the various POS tags, dependency labels, and morphological features actually mean. Especially difficult since the different models (e.g. en_core_web_sm) often use different labelling schema.

I built this tool to help people get a feel for Spacy dependency parsing. Each POS tag, dependency label and morphological feature links to the relevant documentation to find out more about their meanings.

It features a fully parsed version of George Orwell's "Politics and the English Language", with parallel texts in both English and Spanish.
Pure oxygen is quite reactive, but in the grand scheme of industrial chemicals it is relatively benign. You could just mix it with outside air using a big fan, if there are no better uses found for it. Oxygen has a huge amount of industrial uses though, so depending on the purity it might even be worthwhile to capture the waste stream and sell it.
Google will become good again. With TikTok threatening Youtube and ChatGPT threatening search, long-term success decisions become relevant again.
Sadoway is one of the founders of Boston Metal. Boston Metal is mentioned later in the article. It is also an iron oxide electrolysis technology, but a quite different one (high temperature vs. low temperature).
Perhaps this could be achieved by blacklisting the cloudflare parent certificate in your browser?
I wasted two hours yesterday just to track down a bug that was in the documentation, not the code. It's so frustrating. Maintaining good documentation is incredibly hard especially when you're trying to document how your program interacts with other software because now you have to change your documentation when a third party changes their code.
Odd to open asking what actions Americans can take, and then closing with a bizarre appeal to a noble wealth hoarder.

What can we do? Uncap the House. Repeal the Reapportionment Act of 1929. The billionaires easily bribe 435 reps, several thousand would be harder. And in line with historical representation.

https://www.reddit.com/r/uncapthehouse
This is fantastic. The way this is organized I have already found some functions I didn't realize were available. Many thanks to the author!
> A lot of the positive traits of these cities come from the citizens themselves. It's them as much as the government of these places that want that - therefore they create a system that achieves what they want - 'the government', and are willing to cooperate with it to get what they want.

I would agree with that.

> If all San Franciscans wanted a clean, efficient and convenient city, I'm more than convinced that all citizens working towards that goal could readily achieve it, and would make a government tasked with those goals.

I think you have to carry through your reasoning from the first point. People in San Francisco have different goals than those in Copenhagen or Tokyo. I strongly suspect that they also have differing (and lesser) ability to put aside their individual concerns to work together on a mass compromise like public transit inevitably must be.

Which is a good reason for the rest of the country to not want to throw a bunch of money on transit projects. American infrastructure reflects the American psyche. We drive around in individual steel tanks on roads that can take us anywhere we want to go because that’s who we are as a culture.
Wrong chart. That's a rolling average of 12 months.

The peak was in June, so it's still dragging the yearly number up. The last 8 months were much lower than the previous several.

https://tradingeconomics.com/united-states/inflation-rate-mo...

https://i.imgur.com/MBwyLjJ.png

Though that chart also shows inflation dropping...
I wonder in what language this was written in. ;)
Are there any good open source clients you recommend? At work we're not allowed to use chatgpt so having our own would be nice.
Same, was a brilliant read with a coffee and set me thinking for the day. So much added to my list of things I want to understand better!
I would like to propose "Grove's Axiom" which basically states:

If you're failing, pivot to what your replacement will do before you fail.

"In the midst of the doldrums of 1985, Grove posed a hypothetical question to his colleague Gordon Moore: “If we got kicked out and the board brought in a new CEO, what do you think he would do?” Moore answered without hesitation, “He would get us out of memories.” To which Grove responded, “Why shouldn’t you and I walk out the door, come back and do it ourselves?” [1]

[1] https://hbr.org/1996/11/inside-intel
I once clicked on a restaurant website. It was plain text on an empty background. The only content was their address, phone number, hours, and a link to a PDF of their menu.

The site asked for forgiveness and assured me that it was "under construction". But it was already perfect.
Except Google invented transformers, which is what all the major LLMs use.

If Google was dead, this stuff would not exist right now

For Google, it has had no trouble developing the technology necessary to be a leader. While it sometimes does not take advantage of the result as well as others, the ability to invent that stuff is critical. It's much easier to become good at product management than good at inventing the future. You need to do both, but I'd bet on a company good at the latter being able to become good at the former well before I'd bet on a company good at product management that can't innovate anything.

For starters, the ones good at inventing the future have less competitors in the future they create. You have some time to try to build the right product. The ones good at products often are competing against hundreds of other companies with the same good idea
Will their tech leak, sure, that’s possible. Will equivalent tech for a future device a few years from now exist and be freely available, not as given as you seem to believe.
Maybe they won’t die, but they are losing blood fast. I feel like even if they don’t die, they will only be an obsolete corporation that managed to somehow survive like yahoo.

But I’m pretty sure they won’t manage to remain among the top 10 in the next 5-10 years.
I appreciated the quote from your article that: "Based on information from insiders, Google’s coding competitions engaged more than 300,000 software engineers external to Google, annually. These coding competitions assisted in the hiring of thousands of software engineers each year, who were directly sourced from these events."

These views reflect that Google Code Jam was a very significant source for recruitment. In contrast, when I searched about whether Code Jam was a significant part of Google's recruitment strategy, one of the top results on Reddit on r/cscareerquestions really underplayed the recruitment part, by non-Google employees giving advice about it: https://www.reddit.com/r/cscareerquestions/comments/p7ioku/w...

The r/cscareerquestions commenters there could still have a point that it was more direct to take other approaches to applying to the company instead of Code Jam, but the general dismissive attitude of the top-upvoted commenter (e.g.: "No benefits. If anything, might even be harder to get interviews cause the guys grinding for those contests don't have time to make a proper resume.") really overemphasized an opinion based on speculation, instead of taking a more balanced view that recognized that Google Code Jam was run with a large motivation to recruit developers.
>> Backtracking to edit the response is theoretically easily solved by training on a masked language modeling objective instead of an autoregressive one, but using it to actually generate text is a bit expensive because you can't just generate one token at a time and be done, you might have to reevaluate each output token every time another token is changed.

I can't imagine how training on masked tokens can "easily" solve backtracking, even in theory. Do you have some literature I could read on this?
Also if you do host for other people they need to know that shit might go wrong and they should have their own backups (which is a good thing to teach them with any service).
>Where do you see this going?

As bad as Google search has gotten, for normal users, it's been much better than than the next best thing for a long time. This made Google complacent.

In the past, I thought that Google's main source of revenue, ads in search results, would be at risk because people were searching on places other than Google.com. Like using Siri on their iPhones, or asking their Alexa device something they might have used to use Google for, or searching Amazon.com for product oriented searches rather than Google.

But, Siri, Alexa, Amazon, etc, still fail at things that Google's search can do well. So what I expected to happen didn't pan out.

I do think that all the hoopla around ChatGPT/GPT-4/etc is a little exaggerated. But it does show that entities other than Google can, just recently, leapfrog them for some tasks. Like around taking a request, figuring out intent, and giving a reasonably good targeted answer.

So, perhaps where this is going is that the maturity of that kind of tech finally allows for competitors to take
marketshare from Google. Since the starting point isn't Google having a huge lead.
Nice, which apps do you use on sandstorm?
Yesterday I had the worst googling experience of my life - I wanted to find some info about some seeds, but google was only pushing me webstores that sold the seeds, and completely ignored the language I was searching with and gave shops based on the country I was in. It was so infuriating!
It’s a subtle distinction but when you lend a physical book no copy is made.
Right, it will already be out of our view when it does.
The Bouba-Kiki Effect
Autopilot Mayhem: The Case of the Overpriced Algorithm – A Short Story
We still need search engines to crawl the web and discover new content.

If you rely on an LLM as an all-knowing Oracle then you're dependent on what data it was trained, how often it gets updated, and whether the web content you were hoping to find, or some close approximation to it, is statistically regenerated by the LLM or not.

I think LLM-augmented search such as Bing or perplexity.ai is the way forward.

Perplexity.ai is interesting as it's very capable, and despite being based on one of the GPT-N models seems to generate output quite a bit different to Bing/chat.
It’s mind blowing to appreciate how tiny changes between generations playing out over millions of years has such a significant impact on the ‘original animals.’ Imperfection of one form leading to perfection of another.
Microsoft have not shown innovation. They have bought innovative companies at regular interval including github and openAI which is op's point. Otherwise they have blatantly copied alternative and forced them to enterprise companies like Team. Only innovative product from Microsoft itself in last 20 years is VSCode. Contributed significantly less to deep learning and distributed system research compared to google, meta or amazon
I think that if your job is to program quickly (which is the case for some subset of professional programmers), most of your job is to figure out what to Google, and then putting together your search results. That is roughly the same for competitive programming, at least for the times I have tried it and the people I have watched do it. About half the time is spent thinking about what to pull off the shelf, and the remaining half of the time is putting it inside your solution template (which you have pre-made to save time during the competition).
Sure, just like we did with Ukraine. That's what a money spigot is for.
Nothing says hardcore communist like pretty mainstream Fed-positive economists.