skysight-inc/HackerNews huggingface dataset:
Yeah, I agree with that. Specific scenes in MW were amazing and it captured a sense of place very well. The overall plot was so bad that it actually improved my immersion in the game and made me appreciate the writing of individual scenes more, while the more coherent plotlines later in the series are good enough for me to pay attention and be annoyed. I trace that back to the WW2 pedigree of the earlier games, which were vignettes from historical battles, strung together more like a war diary than a novel.

The torture scene was definitely not intended as a big plot point, and the writers likely didn't expect most players to even pay attention to it. I mentioned it because it was a small detail that created a greater sense of realism and moral ambiguity for me. Later games didn't have much moral ambiguity at all.
I don't believe Google is sponsoring any more free shuttles. Your best bet nowadays is ponying up $10k to get a tiny chip on sky130 (so small you really can't hold even mildly complex in-order RISC-V cores). Sky130 is also generally so old that you can probably get better performance (let alone area) on a modern FPGA for a fraction of the price. Efabless's sky130 MPW is nice for semiconductor research insofar as it makes it more realistic to actually fab designs but it's not particularly useful for hobbyists beyond just the novelty of holding a chip you designed in your hands.
> One way to resolve this surprise is to find some reason to believe these strange abilities are fundamentally not an understanding of the world.

An easy way to test this is to ask questions and followup-questions that actually require understanding, and compare this to the answers. I recommend to try that.
The system I'm talking about uses TinyScheme as a code generation system, but doesn't use it as an interpreter in-kernel afaik.
Is Chomsky an expert? Try reading his infuriatingly tone-deaf NYTimes editorial.
Why We Get More Creative Over Time
I believe this view of humans is because we work in increasingly deterministic environments (the internet) using predictable methods of communication, text.

We’ve kind of made the world a bit boring and deterministic, places where almost perfect is knowledge is obtainable and so everything feels more and more predictable.

Your day probably consists of using Google, talking on platforms that don’t change much, solving already solved coding problems and communicating with others about office politics problems that we’ve all spoke about over and over again. We literally are just chatbots in this world.
Now you have me wondering if you could prompt it to solve it step by step, using the same method an elementary student would do on paper.
That's how I feel about all of these such things developed by big companies.
What law was he actually charged with breaking? I didn't see this mentioned in the article and it seems like this would be relevant information to include.

Anyways based on the available details, I'm surprised the police were even involved in what should really be a civil case between the rights holder and the YouTuber. I don't know if the Japanese public is safer or better off after this arrest.
If one can succeed at being an honest man, that is enough.
FWIW I tried to find the norm MacDonald clip where he sings about the "impossible bat" and YouTube was spot on.
The request to not use more than 70 characters for the answers was almost totally ignored.
You would go in fixed price in that case as no one is going to accept 2k/hr. But if you say it’s 16k (and will spend 8 hours, but they don’t know), it is fine.
Meh. Add it to the pile. The number of world ending risks that we could be worried about at this point are piling up and AI exterminating us is far from the top concern, especially when AI may be critical to solving many of the other problems that are.

Wrong about nuclear proliferation and MAD game theory? Human extinction. Wrong about plasticizers and other endocrine disruptors, leading to a Children of Men scenario? Human extinction. Wrong about the risk of asteroid impact? Human extinction. Climate change? Human extinction. Gain of function zombie virus? Human extinction. Malignant AGI? ehh... whatever, we get it.

It's like the risk of driving: yeah it's one of the leading causes of death but what are we going to do, stay inside our suburban bubbles all our lives, too afraid to cross a stroad? Except with AI this is all still completely theoretical.
What do you find so terrifying about individuals having the liberty to move around?

> he could have ridden the Tube.

But he took a carriage more often than not.
It's a portable drive covered in rubberized plastic.
Debatable, since there are plenty of other unavoidable existential threats that are far more likely than the best estimates that AI will wipe us out. E.g. supervolcano eruption, massive solar flare, asteroid impact, some novel virus.

At least we can take comfort in the fact that if an AI takes us out, one of the aforementioned will avenge us and destroy the AI too on a long enough time scale.
It's ridiculous to have a police force controlled by only corporations.

People will gladly accept thoe abolishment. Corporations will probably vote the other way.
Starlink is now available at BestBuy
I wish they just opens up x86s so everyone could implement it. ( I assume we are well past the 20 years patent so most of it doesn't matter )
On the other hand, this opens up for two potential places to typo. Both the name and the namespace.

This happens often to me on GitHub, you keep browsing some code, only to later realize you are in someone’s personal fork of the official project. Especially when the original author isn’t a big organization, you only have two equally arbitrary usernames as namespaces to compare against.
> DynamoDB offers ACID transactions, even across tables, as of several years ago.

It depends on how DynamoDB is used[0]:

Transactional operations provide atomicity, consistency,
isolation, and durability (ACID) guarantees only within
the region where the write is made originally.

Transactions are not supported across regions in global
tables.

Granted, this likely handles most use-cases and the restriction enforced makes complete sense.

0 - https://docs.aws.amazon.com/amazondynamodb/latest/developerg...
I don't really understand your distinction between language and text, but it sounds intrguing. Would you be able to give more detail? I searched but couldn't find anything that seemed to explain it.
This is fun, but is it trying anything? If you choose only the first 40% of my answers, you aren't going to understand me.

It's hard to understa
I was torn on Copilot - it seemed like it was saving me time, but I found myself getting way more value out of just copy / pasting code into GPT4.

So I decided to stop my copilot subscription and just see how I go without it.

I've been off copilot for a few days now and other than having to do more code lookups it's not a terrible experience not having it. It does feel like something that should be baked into the IDE for free though.
The writing style is practical, straight-forward to me. Such an inspiration to the world of Science.
Physically this should be possible but I've never seen an SSD that allows it. I think very very few customers would use it, but I'm still a little surprised no vendor offers it.
A 2TB SLC drive is going to fill up before an 8TB QLC drive wears out, so I don't buy the planned obsolescence argument. And in reality, the kind of consumer who would spend $1k on an SSD is going to move on from it within two or three years anyways in favor of a newer drive with a faster interface.
I never said that CommonCrawl doesn't have a chess manual, whatever the hell that might be.

> the simplest conclusion is that it has indeed been trained on a chess manual

That is an absurd conclusion that is based on literally fantasy.
They have a list of Common Use Cases in the article! :-)
Calling human-produced texts "imprecisely defined" is being generous. The truth is that many (most?) human texts are riddled with inaccuracies or straight up lies. I have to imagine that a GPT trained on a similarly sized corpus of text as GPT4 but only 100% factually accurate (to the best of our knowledge) would be pretty good at sticking to the facts.
The so-called tech crackdown which has made businesses scared and caused some to move offshore to avoid CCP interference.
> It would be fair to say though that there wouldn’t be an order of magnitude more data to train a future version with.

Assuming the ratio of equally-easily-accessible data to all data remains the same, and assuming that human data doubles every two years (that’s actually the more conservative number I’ve seen), there will be an order of magnitude more equally-easily-accessible data to train a future version on in around 6 years, 8 months from when GPT-4 was trained.
The graphics software shown in this video (S-Graphics aka S-Products) partially outlived Symbolics and was evolved into Nichimen N-World and later Izware Mirai.

The last version is available on the Internet Archive: https://archive.org/details/izware_mirai_1.1sp2

The history of Symbolics Graphics Division is documented here: https://ohiostate.pressbooks.pub/graphicshistory/chapter/6-3...
Don’t change the deal after the fact; next time figure this out upfront and sell the task for value (fixed price) instead of hours and don’t mention the time you will spend. Practice in front of a mirror to look like things are going to be pretty rough for this task and say things like ‘clearing your agenda’ etc even though you know it’s going to take you only a few hours. After they sign, they signed for value, not hours, so you don’t owe them any explanation why they paid 20k for 2 days work. I personally, if it’s not urgent (urgent has a cost multiplier!), wait 3 weeks before starting so they won’t ask that question anyway.
Very very few people in tech are even experts in the meta analysis of programming languages, much less the importance of languages.
Wild guess (I am not a doctor in the slightest): could it be some kind of dopamine regulation problem?

>Dopamine has been shown to facilitate anti-diuretic hormone (ADH) release, driving the dilute urine excretion which causes hyponatraemia

https://www.e-jmd.org/journal/view.php?number=194

>Previous research has shown dopamine receptors to be altered in fibromyalgia, burning mouth syndrome, and atypical facial pain

https://www.practicalpainmanagement.com/resources/news-and-r...

>We may have been looking at the wrong thing all along, or we may find that both dopamine and glutamate pathways play a role in RLS.

https://www.hopkinsmedicine.org/news/media/releases/restless...
So you are not really talking about working less, you're taking about higher wages, which is a whole different conversation.
Right. I found <https://www.ise.io/wp-content/uploads/2017/07/apple-sandbox....> which agrees with you (on page 9). Guess it's down to defining "at runtime" now; the TinyScheme code (and GC) and Scheme code for the sandbox definitions are shipped to a user of macOS, and the user can invoke sandbox-exec with new sandboxing definitions (e.g. <https://jmmv.dev/2019/11/macos-sandbox-exec.html>), running TinyScheme and Scheme code. So I'd think Scheme is part of the entire sandbox system, even if not in the kernel?
You can. One thing that I've found fun is to prompt it for some maths problems without solutions, then I provide solutions and for any that I get wrong ask it to explain my mistakes.
I incorporated logic for finding dominant colors into a program I had written, and from my research clustering algorithms were the best way to get the dominant color in a way that most users would expect.

K-means clustering seems to have a good tradeoff between performance and results. Interestingly, I found that when doing this in the RGB color space you'd get dominant colors that seemed off. They were usually too dark or muddled.

The best option I found was using k-means clustering in the LAB color space. So you convert the image to RGB, convert that to LAB, run k-means, then pull out the biggest clusters. I don't know enough about color theory to really explain why this works so well, but there are plenty of papers and research on it.

I was also considering using DBSCAN or a different algorithm, but most other clustering algorithms are significantly slower. I personally wonder what programs like Spotify and iTunes use to find the dominant color for something like album art, but I assume they cache the result of the best clustering algorithm they have, potentially even including human input at some point in the process.
At first, I think the computer is unbeatable. I was wrong, you can win but the score will be like 2:24.

It will be fun to play against player and have some boost in the game.
> Which thus leads to a value proposition for you. Would you pay 1.5c to have this search Ad free?

Why does it matter when 95% of the links you click on those results will carry a dozen adverts?

You are paying for a minor level of practical self righteousness
The model has been finetuned to return responses like that using RLHF. Those aren’t canned human responses and definitely aren’t some sort of live team of paid chatters.
The mere fact of paying rent doesn't. It just aligns your definition with society's to a sufficient extent to pay for essentials.
Dragonfly – Performant in-memory data store
They do use Apple Pay and say so on their own web site. Apple Pay is a payment network, just like the credit and debit card companies. They all charge fees, typically 0.2% for cards, and 0.15% for Apple Pay. But somehow the card systems are fine, but Apple Pay is extortionate? OK.
I don’t see why performance would be worse. Presumably, the application would register an event handler to get change events. And optionally block until an event arrives just like you can do now.

My expectation is performance would be better because you don’t need to parse the data as a string.

And you also avoid the ABA problem this way. If you wait for a file in procfs to change, by the time you read it it may have changed to something else - and you’ve lost data.
You could say the same for many fields, even computer science: a textbook from the 1960s would cover data structures, compilers, filesystems, common algorithms and numerical methods, boolean algebra, etc. - not too different from what one would learn today.

Scientists generally explore the biggest, most fundamental questions first, which ends up being foundational knowledge for students generations later. Most of the modern advances in physics have been past the undergraduate level.
Chomsky is an expert of a few things, but I doubt that's what you actually mean to ask.

Regardless his editorial matches how scientists think of the human mind and how OpenAI's own creators describe GPT's design.
This is not a good example of what happens in America in general, since the position of the Bush administration was that Guantanamo Bay was outside of US legal jurisdiction. It was considered a alternative to the US court system.
Like Knuth, you should probably try GPT-4 instead, which listed 33 pokemon for me that start with C, and none that start with another letter.
Keen to hear more tips on doing this sort of stuff. if you have any.
How does this apply to people who consume extra iodine via natural sources like seaweed? I thought that was beneficial for thyroid health.
Honestly I feel like one reason people are struggling with this is they can't accept a critical part of the truth : most people are stochastic parrots themselves most of the time. True, creative genuine deep thinking is an exceptional state of thinking for us.
> considering the scale of the matter, i.e. human extinction.

There is literally no evidence that this is the scale of the matter. Has AI ever caused anything to go extinct? Where did this hypothesis (and that's all it is) come from? Terminator movies?

It's very frustrating watching experts and the literal founder of lesswrong reacting to pure make believe. There is no disernable/convincing path from GPT4 -> Human Extinction. What am I missing here?
We're working on a search engine!

https://sirch.org
It always seemed sensible to me that we are looking at a dreamlike construction all the time, not just holes filled in but literally everything you see is made up, but grounded in sensory data (when not psychotic or dreaming). This also nicely explains the clarity and realism of lucid dreaming, because it’s just doing whatever you are doing during the day but without (external) grounding sensory data.
> If there is no online presence of the source code

Could this be utilized the other way around? Any package that was published using official GitHub action X, would automatically be signed as being created from something with source and link to source at given revision.

Of course this source could contain bad contents or download even more bad contents, at least it establishes some level of chain of supply, where the first layer of source can be inspected.
Why is Aleppo banned?
What’s an OCI?
The CCP often says a lot of things. They spent years telling their citizens that their way is the right way and that India is a failure yet India is growing steadily while Chinas population is crippling, manufacturing is leaving, unemployment is on the raise, people are losing their homes and money.

I don’t understand the mental gymnastics people go through trying to justify and defend China when the people are suffering.

It’s like believing the covid deaths reported by the CCP and ignoring the 100s of videos of days long queues to cremations that are running 24/7 and saying “oh the 1000 fold increase in deaths is not related to covid”.
Or don’t have a system? What if you installed stuff via a git (not necessarily github) url/tag? Puts the onus on users to verify. Use checksums to avoid upstream changes you didn’t explicitly accept. No different than cloning a repo from a risk perspective (just as risky but no more so). This removes any implicit seal of approval. Companies like malwarebytes could monitor and maintain blacklists or whitelists. Sign up to multiple lists if paranoid.
Quite interesting moments in our history around these “vector spaces” https://en.wikipedia.org/wiki/IntelliCorp_(software)
appmagic.rocks

this is analytics service like appannie (data.ai), sensor tower etc. they plug into apps analytics and collect data for a lot of apps, extrapolating the collected data on all other apps. usually both revenue numbers and downloads are pretty spot on
There’s an exercise that some people do when learning programming, which is to write down the steps to make a sandwich. Then the teacher follows the exact instructions to make a sandwich and most people don’t put enough detail for a computer to follow (I.e. open the fridge etc) and the teacher will run around bumping into things. That used to be a teaching exercise to show people the amount of precision required when telling a machine what to do.

Now with LLMs, I think one of the great leaps is the idea that it’s no longer necessary to be “pedantic” when giving computers instructions because LLMs have somehow learned to fill in the blanks with a similar shared “understanding” of the world that we have (I.e. cheese is stored in the fridge so you have to go open the fridge to fetch the cheese for the sandwich).
You misread the statistics. And on top of that misread the particulars

> Take note, however, that in an update to that article made in 2010 and then in 2018, his firm’s eye tracking studies were showing that attention to information below the fold was much less focused. Specifically, information above the fold received 57% of a user’s viewing time and everything else — every “screenful of content” below the fold — received 17% or less.

Based on eye tracking, 57% of viewing time was "above the fold". And thus 43% was below the fold.

> Tony Haile from Chartbeat wrote that 66% of attention happens below the fold

People spend more time looking above the fold, but pay more attention to what they see below the fold.
The deeplearning.com prompt engineering course contains an example where GPT4 solves a problem with chain of thought and fails without. The prompt is

Determine if the student's solution is correct or not.

Question:
I'm building a solar power installation and I need
help working out the financials.
- Land costs $100 / square foot
- I can buy solar panels for $250 / square foot
- I negotiated a contract for maintenance that will cost
me a flat $100k per year, and an additional $10 / square
foot
What is the total cost for the first year of operations
as a function of the number of square feet.

Student's Solution:
Let x be the size of the installation in square feet.
Costs:
1. Land cost: 100x
2. Solar panel cost: 250x
3. Maintenance cost: 100,000 + 100x
Total cost: 100x + 250x + 100,000 + 100x = 450x + 100,000

GPT-4 will say the student is correct even though the answer includes an error (they should be multiplying by 10x not 100x). If you change the prompt to include chain of thought as follows it notices the error

Your task is to determine if the student's solution
is correct or not.
To solve the problem do the following:
- First, work out your own solution to the problem.
- Then compare your solution to the student's solution \
and evaluate if the student's solution is correct or not.
Don't decide if the student's solution is correct until
you have done the problem yourself.

Use the following format:
Question:
```
question here
```
Student's solution:
```
student's solution here
```
Actual solution:
```
steps to work out the solution and your solution here
```
Is the student's solution the same as actual solution \
just calculated:
```
yes or no
```
Student grade:
```
correct or incorrect
```

Question:
```
I'm building a solar power installation and I need help \
working out the financials.
- Land costs $100 / square foot
- I can buy solar panels for $250 / square foot
- I negotiated a contract for maintenance that will cost \
me a flat $100k per year, and an additional $10 / square \
foot
What is the total cost for the first year of operations \
as a function of the number of square feet.
```
Student's solution:
```
Let x be the size of the installation in square feet.
Costs:
1. Land cost: 100x
2. Solar panel cost: 250x
3. Maintenance cost: 100,000 + 100x
Total cost: 100x + 250x + 100,000 + 100x = 450x + 100,000
```
Actual solution:

As I say this same prompt "fools" GPT3.5 and 4.
I thought that was an AMD thing. That all consumer cpus supported ECC.
> Set up Vivado in scripted mode

The tried and true :) It's funny seeing people complain about Vivado bugs when I haven't run into any in years. Sure, the IDE may be absolute garbage, but I've thankfully never run into any bugs in the actual synthesis and routing parts of the package, which is all that really matters.
I can recommend writing a short script to test redirects and cache control are configured as expected for your site - here's mine (health warning: shell script) https://github.com/muxup/muxup-site/blob/main/utils/server_t...
Alternative data algorithm example for Credit Card Data
The deals can only be signed by countries, but the trade deal treaties have local legal weight or are implemented them using local laws which can then be used in any legal dispute.

That's literally the point of trade deals: the purpose is to reduce trade barriers for companies. In broad terms that is a good thing, but there are definitely issues in some cases.
Newtonian mechanics is still sufficient for almost all the engineering needs we have today.
Another avenue is training on generated text. This is likely to be important in teaching these things reasoning skills. You identify a set of reasoning tasks you want the system to learn, auto-generate hundreds of millions of texts that conform to that reasoning structure but with varying ‘objects’ of reasoning, then train the LLM on it and hope it generalises the reasoning principles. This is already proving fruitful.