skysight-inc/HackerNews huggingface dataset:
People trying to draw this comparison proves making good products is harder than it seems...

The default goal everyone is assuming is spitting out the longest correct sequence possible.

But in reality the mental cost of a wildly wrong prediction is much higher than the mental cost of a slightly wrong one, so what you'd train the model for is sequences of a few words at most being with higher confidence.

Most people can/will tune out slightly wrong words especially as they get a feel for what autocorrect is good and bad at.

If you unleash the full range of tokens GPT 2 can normally output, you'll constantly be blasting out words they didn't expect.

—

The fact your long sequence prediction got better doesn't matter because the UI is autocomplete not "auto-write": they're still expecting to drive, and a smart but noisy copilot is worse than a dumb but lazy one in that case.

I wouldn't be surprised if they trained the model to an effective context window of just a few hundred tokens with that in mind
> As a fun exercises, try to find how many definitions of “child” there are in the US law and how many times it’s used undefined.

Which is why it is the common standard in German law to define every possibly unclear term either in the relevant section of the law itself or in an introduction article.
The heuristic is likely the result of an ML algorithm, so the underlying logic may not make much sense to us.
They might be trying to cover up something else that isn't the conspiracy theory.

Suppose there's a theory that some person got suicided in jail. And a lot of security footage got deleted. It could be that the prison guards were torturing the person in the cell for information that they could use to blackmail important people, and covering that up and there was not (yet) a higher level call for the person to be suicided.

Not saying that's the case in any particular incident, just conjuring a hypothetical example.
>C is still simpler than most languages in common use these days.

Having less keywords and implementing less fancier concepts

doesn't make my day2day life easier, actually it usually makes my day harder.
I did sous vide chilli oil by placing the oil and chillies in glass canning jars in the water bath. I let them rip for about 90 minutes at ~88°C/190°F and the results were pretty good. I like the roasty/mildly bitter results from flash heating, but this was quite smooth and pleasant.

I think some purists would think it tastes weird. It's a very "clean" chilli flavour. I think it would have been a lot better with more aromatics, and when I'm done with this oil I'll likely give that a shot.
The more you stand to lose by fleeing, the less of a flight risk you are.
instagram's highest resolution is 1350x1080 for photos.
Or just buy Pulumi... j/k (I'd hate for such an awesome tool to get AWS-ized.)
The question was: in what context do people need to answer a question like "which geographical points are close to X and similar to X"?

I don't understand who the target audience is and what this can be used for.
i've been using it a few months, its really starting to come together.
https://www.reddit.com/r/Seattle/comments/16j6cw0/nearly_110...
I agree, I'll paste a comment I wrote a bit ago where I think I explained this reasonably well:

"> There is no "intelligence" going on here. It's not "thinking". But it can still perform calculus by just stochastically emulating how average text on the internet looks.

It always annoys me when people say this, I’ll try to explain why.

There are two possible definitions of “intelligence” you could use here; the ability to process information to get something done, and something hand-wavy about human consciousness.

GPT-4 clearly has some ability to process information to get something done. You might say that by this definition [insert trivial thing] is intelligent, but it doesn’t have to be a binary thing of intelligent or not. I think it’s fine to say maybe a calculator has very low intelligence (but not necessarily nothing), GPT-4 is more intelligent than that and humans are much more intelligent again. GPT-4 has many limitations compared to humans, but I think that just makes it less intelligent, rather than disqualifying it from having intelligence at all. Sure, it’s just predicting text, but that’s a task that requires a level of intelligence. You might say it’s not general like humans, but I’d say it has a much better ability to generalise than something like an image labelling AI, so that feels like it’s at least getting somewhere.

The second definition is useless for practical purposes because it’s not measurable or observable in any way, so it’s not useful to use that.

So I feel like this is something people say to reassure themselves that it can never get to human level, and is fundamentally different to human intelligence, whereas I think it’s somewhat similar but at a lower level."
Hence, "mostly vegan". I was vegan for 6-7 years, now I'm begrudgingly consuming oysters and clams. Both have fewer neurons than a mosquito and no brain or central nervous system. I'm not certain they can't feel pain, but I was having a hard time sustaining my health within my budget on a fully plant-based diet, so until I can get back to a place where I feel like I'm getting complete nutrition on plant-based foods and supplements, I've been forcing myself to choke down some bivalves on occasion.
Why is that any less of an incentive to report than it was, say, 2 decades ago?

Doesn’t it make more sense that the numbers are accurate?
It’s highlighting similar areas to the area currently under the cursor.
It seems that we are getting short of people interested into paying with their own money for the privilege of solving other's people problems for free. Is very strange.
What is the conviction rate in Illinois? In California it's 72%. From what I have read. it sounds like there can be a lot of variability in this number depending on how you count conviction. Still, while many accused people are not guilty of crimes, at least in California, Florida (59%), Texas (82%), and at the federal level (93%), most people are?
The northeast, northwest and south west seem to be doing something very right.
There are numerous comments here about the licensing change and that this could be related, but HashiCorp announced this at Google Cloud Next (and on their own blog), so it seems like a fairly standard partnership arrangement.
I'm bad at math today. We do have an uptick, but calling it a "crime wave," is loaded language.

Last time we had something like this, the word "super predators," was thrown around and we got the 1994 crime bill which put a whole bunch of petty (drug users) criminals and minorities behind bars. It also was the start of really aggressive policing and little care for constitutional rights, which lead to the state they are in today. All this while crime was actually going down. Be very careful with the hysterics in the news.

Sry for the double post, replacing my bad math comment with a more meaningful one.
How do those microwave transmitter lines work? Do they need to be empty from station to station? Does a bird flying break the connection? Would a drone block it?

I read the high frequency trading firms use own towers to transmit messages. Could a rogue competitor fly a drone/kite to "block the view" and break the connections?
It’s a print magazine.
> Additionally, the law is not supposed to be some arcane discipline that you need to learn a new language for.

It would seem to me that reading laws has become an arcane discipline, partly due to it being expressed in a language with overly long sentences, which handles branches and references very poorly from a readability perspective.

> Imagine news anchors explaining that Biden agreed to add the lambda sign, but was heavily criticized by McConnell for his use of a monad instead of a plain for loop.

While that would surely be interesting to watch, I think we both know that's not what would happen.

Like I wouldn't ask you "number four plus sign number four equal sign X?"
AI won’t replace humans. But a human with AI will replace a human without AI.

AI will be a supplemental tool. Just a much higher level tool. That can help improve itself and the users of it.
Space that is currently dedicated to pasture is already currently dedicated to wildlife. In fact, grazing cattle on land serves to rejuvenate the land, since the cattle's hoove's serve as little plows, and the cows walk around and poop and pee, which fertilizes the land and allows for insects and bugs to thrive, which helps the bird population, and the little rodents.
> Writing tests for laws should totally be a thing.

It is a thing already. In both the US and Germany it is common for lawmakers and regulators (e.g. the FCC which was here on HN to solicit comments a few days ago) to provide drafts of laws and regulations to interest groups so that these can raise issues they find.
GDPR in Europe is what started it all. The law says that you must get explicit user consent for all kinds of data tracking.

However it doesn't say how that should happen.

The annoying banners are completely a decision the industry has made. It's so weird to me that pretty much everyone adopted a near identical way to implement this. It also feels like retaliation -- a way to punish users by making these banners as disruptive as possible, and then blame it on regulations. It's like companies would rather destroy the web than give in and actually make it better.
The DuckDuckGo browser automatically manages (auto-refuses) these banners. It also has a lot of privacy-preserving features and a distraction-free youtube player that’s nice.
And most of all it’s WebKit based, which is good for engine diversity, I guess.
I think you'd need 2 80GB A100's for unquantised.
If it's anything like LLM for code review then I'd say it's not very potent.

No doubt it's good at paraphrasing code, deobfuscation sound like a good usecase. Other than that I've seen it mostly come up with bullshit :

- random opinions stated as fact (x makes code readable, y makes code simpler to understand, yada yada) - it's like a review from a mid level dev that finished reading Uncle Bob or some crap like that and suddenly there's 8 functions where there should be 2

- suggests changes that make the code subtly incorrect - like rewriting code with a different container type and messing up result ordering

- state false information like suggesting that a dictionary will be faster than array search (for fixed size/small array), or that some approach is faster because it doesn't allocate (but original didn't allocate either and the new approach actually does, it just hides it in a container), etc.

- can't catch complex logic bugs for shit, even with leading follow-up questions (once I figured out the problem and went back to see how long it would take GPT to figure it out)
I'm not in the Minneapolis area anymore, but I can tell you there's a healthy amount of interest there if you're willing to organize it.
Don't Spy on Your Kids' Phones
Sorry but, what do conviction rates have anything to do with this?
There are plenty of tools that do ‘ai’ in security. Anomaly detection can be valuable, but for the most part they’re snake oil.
You might well be right about AI's efficacy at detecting video game cheaters, but I've never understood why this is an issue. If cheating can't be easily distinguished by a human from skilled (but legitimate) play, why would such cheating reduce the enjoyment of the game? With a well-functioning match-making lobby, the cheaters would simply class themselves out of all the normal games and end up playing other cheaters, leaving legitimate players well alone.

As someone who enjoys casually playing online games, many of which have little or no cheating detection, I genuinely don't understand why many think the problem deserves stacks of 20GB VRAM cards running AI models, let alone rootkits client-side. Please enlighten me :)
Why do you think we subsidize meat production? Isn't it sugar and soybeans that we subsidize?
Yes, other theories are removal of lead in gasoline, the legalization of abortion, and my personal addition is video games gave restless kids something to do.

Also, our population tree has the largest male population alive is currently ages ~19-40, which is the demographic most likely to commit crime.

https://populationeducation.org/resource/u-s-population-pyra...
FYI I had an NUC8 (i5) which was about 10W when idle.
You do not aware of this dimension if you just concentrate on the technical side. Great comment.
Why stop at 2021?

https://www.kiro7.com/news/local/report-washington-saw-its-m...

They were up 16.6% in 2022 (Seattle increased around 24%). It is 2023, Seattle is already at 35 murders from January to July, it is probably going to get much higher until December (2022 it was 52).
> I know people who have simply put herbs/peppers/etc directly into oil and go with that method. I've not heard of them getting botulism, but maybe it was luck.

According to the CDC, food-borne botulism is pretty rare, just 21 cases in the US in 2019: https://www.cdc.gov/botulism/surv/2019/index.html

That being said, it can be fatal so certainly it wouldn't be advisable to take the risk.
The graph is, in a large way, an inversion of population density.
Yeah but, it's not like I have some god given talent the next person can't obtain. I went to a shitty university, and it took me 4 years to finish a 3 year undergrad. From there on, it was all about building skills, and making very intentional decisions to steer my career.

There's the classic joke of how to pick up women: "Step 1: Be attractive. Step 2: don't be unattractive" - which is funny because you can't change your appearance. But if you have a skill gap on your CV it is absolutely within your remit to fix that. Don't like your current job? You can change that. Don't have what it takes to pass the interview rounds? You can fix that. Spend 2 weeks doing leetcode exercises and you'll ace any coding test.
People using language differently isn't misinformation.

I think maybe it's time to let this disagreement go. The stakes are so small, their immediate response to someone pointing out that were animals was "you're right," it's been 18 hours, and it's been a difference of opinion this entire time.
I agree. Indian cooking uses a lot of flavored oil as “tadkas”. Spices (cumin, coriander, garlic, mustard etc.) including whole red chillies are brought up to temp in a small metal bowl with ghee over a flame and then added to the final dish.

I’ve made chili oil this way and it seems to draw out more flavor and there’s the slight burnt flavor that I love.
This way too nobody can copyright-cancel the LLM like OpenAI or whatever
But the owners of capital want either faster workers or no workers.

It is a systemic problem.
The question confuses obligation with consequence.

Also, eliminating cash bail (the requirement for up-front payment of cash for release on bail) doesn't necessarily have any impact on the penalties for violating bail. (While the federal system retains cash bail as an option, it doesn’t have the regulated minimum percent of the bail penalty as an up-front payment system feature that most state systems have in one form or another, and its quite possible to have 0% cash bail in a situation with a specified money bail penalty, and—aside from occasionally producing confused public commentary when people unfamiliar with the federal system read news about a case like that—it works fine.)
Very interesting but not a great map for us color deficient types!
The idea is obviously to use iron for energy storage. You grind the iron until it is a fine dust, and store the dust somewhere. When the time comes, you burn the iron in a power plant. Modern coal power plants burn the coal in a fluid bed, so probably some retrofitting can be done, to switch from particles of coal to particles of iron. The idea is that while burning coal produces CO2, burning iron produces iron oxide Fe3O4, which is a form of rust. You then store that rust, and when you have spare electricity (for example during the summer, when solar panels generate more electricity than there is demand), you remove the oxygen and return to iron powder. The idea would be that this type of energy storage is cheaper than other round-trip chemical reactions, the most obvious being burning hydrogen and then electrolyzing water.

The advantage of the hydrogen-based energy storage is that you don't need to store the output of the oxydation reaction, because water is all around us. The iron-based solution requires you to store lots of this rust, in large storage places. In many places storage is reasonably cheap, so this would not be such a big cost (but it would be an additional cost nonetheless).

With hydrogen, people have run the numbers. It's not easy. Not easy by a mile. It's very difficult to produce hydrogen out of water at a cost below the cost of the natural gas that would produce the same electricity. Even if you add some subsidies to account for the zero-emissions, it's still very difficult to make this work. Why? Mainly because of capital costs. To make a plant that produces enough hydrogen to feed a typical 1GW power plant you need billions of dollars. And you need that for every 1GW natural-gas power plant that you want to convert to hydrogen. It's doable in principle, but it was never done in practice. Nothing remotely approaching that scale was ever done, and it's not clear anything like that can be done this decade.

With iron, you need to replace the electrolysis with something close to an iron smelting furnace. We have lots of those furnaces around already, busy separating iron from ore. It's one of the toughest problems of the road to net zero: how do you make iron green? People say you can do it via green hydrogen, but then if you make the green hydrogen why would you not just use that for energy storage, rather than add one more step in your energy storage economy?

So, unfortunately, although I like a lot the idea of finding a cheap chemical solution for the electricity storage problem, I'm not that optimistic that iron can provide it, at least not in this form.
The cops didn't take that long to take your report 2 decades ago.
I think I might try and join in on one of the virtual meetups. I'm in North Carolina, so hard to find something in my time zone, but eh.

My site is one of those that modern folks call "virtual gardens" sometimes. Love to have new visitors, and I'm allergic to SEO for my personal stuff, haha.

https://benovermyer.com is my site.
Pluralized as Vaxen.
And for some humor...
https://www.hactrn.net/sra/vaxen.html
To be honest, I sometimes think they are worse at it than you and I would be.

I was truly shocked by how some companies behaved during and after the pandemic. I can understand why companies that struggled (like restaurants) had to lay employees off, but companies that received what was obviously going to be a temporary boost in revenue behaved as if this were the new normal, over-invested in growth, and then freaked out when customer demand returned to normal pre-pandemic levels.

I know that interest rate changes also played a big role here, but the interest rate changes were also extremely predictable. Interest rates were obviously going to be lowered during the pandemic to keep the economy chugging, and then they were obviously going to be raised later to compensate. This is how modern economies are managed. It's nothing new.

All the investment and VC capital floating around during the pandemic was obviously going to dry up, so why did all these companies decide it was a good idea to become reliant on it?
Sure! The basic idea is that each hexagon is a discrete unit of space for which I obtain a vector embedding. This vector is supposed to represent a sort of data-based summary of that location, obtained in this case using deep learning.

When you put the search on a hex, it looks up the vector for that hex and then performs a similarity search on all other vectors within the circle and shows the ones which are most similar in terms of land cover. The dependence on land cover / land use data is just because that was easy to get.

As other folks have pointed out here, raw satellite imagery is also a potential input source for this. I'm playing around with other sources and really want to integrate something like GeoVex (https://openreview.net/forum?id=7bvWopYY1H) into the embeddings as well.
they're designed to be annoying, a perfectly reasonable response to GDPR was to stop being fucking creepy
I'm from Florida and fried gator tail is reasonably common around where I lived, somewhat similar to calamari. Unless they call it "gator" tail and it's actually not real alligator, in which case 6 year old me will be crushed.
Indeed, travel writing is an entire genre. But I also get the gp's point, that especially with cooking it's easy to overcomplicate things while ignoring how the inventors actually worked.