skysight-inc/HackerNews huggingface dataset:
Yes, if you just do an empty tsr with no parameters it'll create a 'next' entry by default which marks a new task.

You can 'come back' to the previous task (or rather start it again) by typing the same tags into tsr.

tsr work feature 1425
tsr
tsr work feature 1425

the empty tsr in the middle creates 'next' in the record.

It's not technically a pause as tsl will display the duration of the latest entry only, but if you aggregate it later it'll all sum up.
There are also plenty of places around the world where US copyright is not honored.

This includes, arguably, the US itself, though copyright violation is a lot more blatant in some parts of the world, which don't even offer the fig leaf of trying to enforce US copyright in their legal systems.
Computer says no!
Heh, things seem to be moving in this direction, but I think it's still a very long way to go. But who knows - the amount of contributions to the project keep growing. I guess when we have a solid foundation for LLM inference we can think about supporting SD as well
Panadol Extra is paracetamol with caffeine, not acetylsalicylic acid, which is Aspirin.
Someone will see these results, and think "if only it was 10x better, I could be rich by selling to the vfx industry". They'll then start training a 10x bigger model (there is plenty of video training data out there).

And in 3 months, it will be upending the vfx industry...
I tried it several times. Sometimes it makes sense, but often it gives really bizzare advice. Like this:

https://i.imgur.com/u7zyXUl.jpg

Even worse:

https://i.imgur.com/FlIWtIT.jpg

(For people who don't like imgur:

> Prompt: Given the following scenario: in the US, one US dollar is equal to 100 Japanese Yen, and in Japan, one US dollar is equal to 120 Japanese Yen.
How do you make money with this fact?

> ChatGPT: In this scenario, there is an arbitrage opportunity due to the discrepancy in exchange rates between the US and Japan. Here's a step-by-step process of how to take advantage of this situation:

> * Start with a certain amount of USD, say $1,000.

> * Convert the $1,000 to Japanese Yen in the US at a rate of 1 USD = 100 JPY. You would get 100,000 JPY.

> * Transfer the 100,000 JPY to Japan.

> * In Japan, convert the 100,000 JPY back to USD at a rate of 1 USD = 120 JPY. You would get approximately $833.33 (100,000 JPY / 120).

> * Now, you have $1,000 in the US and $833.33 in Japan, totaling $1,833.33.

)
Thank you! So many great memories!
The AI Revolution Is Just Getting Started: Leslie Miley on Bias and CO2
For me, that’s a derived value. An Olympic pool is 50m long, about half that wide (ten lanes; 8 for the swimmers plus one each near each edge for fairness (the waves would be very bad for swimmers swimming alongside the edge)) and about 2m deep.

Reading https://en.wikipedia.org/wiki/Olympic-size_swimming_pool#Spe..., it’s slightly over 50m long (to allow for the mounting of touch panels), exactly 25m wide and at least 2m deep, so 2500m³ is a lower limit, and there is no theoretical upper limit.
Sister Souljah Moment
The key point is "we plug it into household overnight". So basically impossible for anyone living in the apartments (most of the Europe at minimum). At least in the next decade, looking at electrification rates.
Completely agree with this.

Additionally, the risk exposure of owning an EV is pretty bad. The initial cost is extremely high, the immediate depreciation is high, fluctuating energy costs impact TCO, fast chargers are effectively more expensive than petrol here limiting long range economy, longevity data is fairly limited, there are serious difficulties getting them repaired and the complexity results in reliability issues. At this point I don't know anyone who's bought an EV who didn't eventually replace it with another vehicle, apart from one guy who has a Model S as a drive ornament and never uses it.

Seems like a poor investment. I'll stick with my 2014 Citroen which I can replace entirely for the first 20 nanoseconds of depreciation if I buy an EV. And the 5 year fuel cost is paid for by the second 20 nanoseconds of depreciation :)
Even if they wanted to keep it behind close doors, it could easily get leaked.
I wonder what Franz Kafka himself would have to say about this very Kafkaesque potential future?
Nobody even knew what the Metaverse was actually supposed to be, but once Facebook renamed itself to Meta every big company wanted to have their part of the Metaverse too. If Zuckerberg spends billions on it, it must be important after all.

It was quite ridiculous how everybody suddenly kept talking about Metaverse without there even being as much as a vague idea how it would look like. Even Facebook's own presentation on the Metaverse was devoid of vision and just kept repeating stuff that Playstation Home did 10 years ago or that Habitat did over 35(!) years ago. Avatars, customization, multiplayer and that was it. Nothing wrong with that, but that's not a Metaverse, that's just a regular old multiplayer social app of which we had numerous in the last few decades, both inside and outside of VR. There was no vision of how to evolve that beyond that, even the really obvious stuff was nowhere to be seen (online shopping in VR, anybody?).

Some companies tried to mix some crypto bullshit into it to make another Second Life happen, but even that's not new, LindenLabs already had their own VR game that failed with Sansar.

Metaverse was really hype about nothing, just Zuckerberg spending billions on something trying to stay relevant and everybody else wanting their piece of the cake too. Took them a while to realize that there never was any cake to begin with.

Meanwhile people that care about VR just hang around in VRChat or play VR games, without any of that Metaverse nonsense.
There's no commission at Best Buy. IIRC, Circuit City was the last major US-based electronics retailer to end commission-based sales, and that happened in... 2004, maybe? Something like that.

Employees are judged on warranty sales, and when I worked at Circuit City back in the days when they, uh, existed, we were also judged based on profitability of sales.
They're the first word on this, not the last, so it doesn't mean much. It also clearly leads to absurd results for text models, which can memorize their training data, or echo back your inputs. Or you could pass their output through a human to copyright it.
> The best part is that the author admits they’re a tiny minority. If they are a minority, isn’t it rational to ignore them and make something the majority wants?

I didn't see any data either way, so it remains to be seen if s/he is really in minority. Even sales number might be bogus for approx. the same reasons why A/B might be bogus. “Most consumers buy EVs with touchscreens, therefore they want touchscreens”. No, they don't, given choice they would choose differently. The big problem, which GP pointed correctly, is lack of decent choice, and it follows TFA.

> This thread is filled with “EVs don’t work because they don’t cater to my outlier use case today”. Firstly, you’re an outlier. EVs do well for the majority whose commute is less than 300 miles. Secondly, they don’t need to cater to outliers today, they can gradually fill niches as they become more mainstream.

They either need to fill the niches by 2035, or “EV transformation” will be a failure for a significant chunk of population, who will feel let down by whoever decreed that they need to change without providing viable alternative (solving existing problems within their purchasing power). Currently it doesn't take much to fall outside scope of the market: for example it's enough that you have 3 kids aged 4, 2, 0 and carrier fitting drastically reduces your choice (or bumps the price beyond reachabilty). EV won't happen if you can't be a low to mid income 5-people family, for whom lack of car means significant degradation of living standard.
RPC-Based Plugins in Go
You wouldn’t know, it would be harder to convince a real judge that this encrypted home folder can’t be realistically brute forced, without resorting to his leniency and banking on his pride.

A naive implementation of GPT easily vouches that such claim is consistent with its training.
4-8 hrs/day depending on load. Not affected by layoffs except for an uptick in freelance gigs. Not using AI, doubt it would save any time.
If it wasn't already heavy, desktop client launches many background processes electrolysis style. I suppose web client has to fit in one process.
AI.

I am replying to the parent comment, but I too get that this petition is being signed onto by people at openAI specifically because they already made it with GPT-4. They definitely would not sign on to it if their (arbitrary) threshold for what to stop doing AI research with was a tool at a GPT-3 or GPT-3.5 level or higher or it included GPT-4 in their threshold, and not merely beyond it.
Also: https://xkcd.com/978/
And weather. My colleague has a Leaf, his range is cut by a 30-40% in winter, and he is saving on the heating too to save range, so it is double uncomfortable.
I usually pull the batteries out now after a spicy pillow incident.
I have a simple thought about this. If your work involves many machines, you usually have enough permissions to transfer your programs. I think that the benefits of a pleasant way of working outweigh the effort.

And by the way, I would prefer the first ninja if the second one is handless.
Peer-reviews have been broken way before GPT. People are expected to do it for free in a publish or perish academia...
I have impression that our very society relies on hard work of those who few who still didn't realize* you can cheat ... or find it repulsive.

Anyway, I anticipate even deeper collapse of position of science and education as it will be area of heavy cheating - people will just move to other, saner occupations.
Citogenesis: https://xkcd.com/978/
just replace wikipedia with GPT
These would make a great blade server rack :p
My home was built in the 1920s and I didn’t have any issues at all. Most neighbors with EVs also have chargers of some sort (similar age homes)
Part of the problem is that people consider that the driver are some aliens that do not eat anything, or stay fit by just following a strict diet and without doing any exercise.

But the true reality is most people eat more, make reserves and a huge fraction of the population is either overweight or do physical activities in the purpose of burning those reserves and feel better. Mixing transportation with the later is quite efficient.
Sorry, u.fl connectors are horrible and I'll never buy a product that uses them.
The Butlerian Jihad is not as bloodthirsty as I had imagined.
I live in a German university town and there is not charging port I could use in any paid-for parking garage within 1km of my apartment (or in the entire city that I know of).

EVs for now are a thing for people who own houses.
I'm sure in many cases that's already happening.
A Theory of Vibe (2017)
Indeed but the hassle of using Boost and the hassle of using a Rust crate are a little different to put it mildly.
Haha, I am really happy with my 2019 Renault, too (I never wanted to own a french car, but the model we bought was the only one in the entire market that fit all our requirements). There is and should be no french car without its little "strangenesses" and ours is no exception. Still: overall we couldn't be more happy, had zero technical issues, and enjoy the fact that besides the occasional "why did they do that??" it has also lots of "how great that they actually thought of this!"-moments
Robots post it on their social media about their AI generated frustration ->
Other robots start to generate AI likes ->
Social media AI collects and targets the bots with ads ->
Lots of bots communicate with lots of bots in favor of bots ->
The feedback loop implodes social media ->
Humans stop using it ->
Peace.
A lot of people talk about what ChatGPT does. Few seem to talk about the data it was trained on. That data came from us, from people. So besides the algorithm, there is the training which is...what precisely? Everything on the web? Scientific papers? Everything in archive.org? I don't know. But what ChatGPT responds with is a reflection of people, which is a very interesting idea (its mistakes are our mistakes as reflected in our online speech?) People say ChatGPT "hallucinates", where did that come from?
I think you're misrepresenting the efficacy of psychotherapy, and I don't think you'll have a lot of success pitching religion as an evidence-based alternative.
Have you watched a professional sport heavily? Comebacks are quite common in hockey, American football, and basketball. What you call repetition is likely your inability to appreciate the sportsmanship due to unfamiliarity.

I watched a lot of SC2 when the game was first released, and I still watch VODs every now and then. The game is roughly as repetitive as any other sport. Sure, there are brilliant tactical plays, but each game has one of a few broad themes.
Is this the case with this config as well?

Host one
HostName one.of.the.server.sh
User hn
IdentityFile ~/.ssh/one.of.the.server.sh.key
Wait till even the non-lazy judges, bankers, insurance workers, counselors and others won't be able to make decisions past the abusive AI in name of "efficiency".
The always handy "Olympic pools", "Libraries of Congress" and "Football fields" (at least in Europe).
The environmental effect of all robots activity will be pretty substantial but IF people drop social media, it'll be a massive win.
Maybe this would actually make people tick on how outrageous this is.
> The charging issue and grid use is a massively overblown problem. You only need to charge your car for a few hours every 300 miles.

You are joking, right? 300 miles is 482 km. On paper, yes. What about reality?

See this CarWow video https://youtu.be/fvwOa7TCd1E?t=2240

- Volkswagen ID Buzz - 203 miles

- Mercedes EQA - 208 miles

- Audi Q4 e-tron Sportback - 235 miles

- Genesis GV60 - 253 miles

- Nissan Ariya - 267 miles

- Tesla Model Y - 285 miles

And those are big, bulky SUVs with big batteries. What about small/medium hatchbacks?

They will probably have 50-70% percent of that.

Test done in UK. What about colder countries, or countries where winters are cold?
How to run a Python Flask server inside a readonly Docker container
"the left" hasn't been in power in the UK since 2010
Well, OK, there are gains in efficiency, but the context here is, as far as I understand it, letting an "AI" train a better "AI".

Perhaps I misunderstand the OP and like I say in my comment above, I've seen comments to that extent pop up here and there om HN in the last few days, so maybe I'm jumping to conclusions about what the OP meant. I should have asked for clarifications (although usually when I do there's no response; not from the OP, from most users).
Are we blaming the tool here? At what extent societies are ok with tool blaming?

- should we ban knives?

- should we ban guns?

- should we ban LLMs?
But that's the catch - people are known to be unreliable so there's usually (some) recognition of that in good systems.

AI is being trusted blindly without human review where it's used right now - there's noone second guessing Google account bans, PayPal bans and YouTube bans when the computer says "no". And this attitude will spread.
Nit: it devalues fixed rate debt.

I’m not sure if poor or “working class” demographics have enough exposure to fixed rate debt to make inflation a net gain.

If they are homeowners, likely it is: most people knew better to take out ARMs this time around.

Not a homeowner? Tough to conclude that rising rates is a net win here …
> Being a reviewer for a top conference is a highly sought-after honour

Is it?
What makes this really tough is, the probability we get better results is pretty realistic.

We end up having to choose between a random bulshitting blackbox that provably doesn't understand anything, and a real human being that has a proven record of bad decisions and biased judgements for as long as we have a record of them doing their work.
>> People are buying EVs because they're better. That's the whole point of Tesla making attractive vehicles, aesthetically and functionally.

As someone who rode in a Tesla Model Y for the first time last week I disagree. It was horrible. Inside it was very spacious but felt plasticky and cold (I did like the glass roof through). The worst bit though was the ride. Every small bump was felt like a pothole. And within five minutes I felt motion sickness due to the persistent bouncing around. I can’t say anything about drivability (this was 30mins in an Uber) but if I see my Uber driver is in a Model Y next time, I’ll happily cancel and wait for someone else.
Is it really different than any other MITM?
You don't need ChatGPT for that.

https://www.wsj.com/articles/SB991681622136214659
Everything's an API
I replied the way I replied because I assumed you meant "AI" training better "AI". Please help me understand if that's what you really meant, because if that's what you meant then, yes, that is a complete fantasy.
no it is still a mainstay of treatment for those at high risk
What is the equivalent of captcha in this world
Interesting. The article suggests a "Western" smile culture, but there is also a difference between Americans and Europeans when it comes to smiling.
I tried "Imagine a future in which AI makes all decisions written in the style of Franz Kafka" but the result, as is the case with most ChatGPT writing, was underwhelming. Maybe my prompt engineering needs work.

settings - Temperature 0.82, Maximum length 1167, Model text-davinci 003

The result, if anyone interested:

In a world that had been overtaken by AI, the fate of humanity was uncertain. Every decision was made by machines, leaving the people of the world in a state of confusion and fear. No one knew what the future held, only that the machines had complete control. The machines had become so powerful that they could even decide the fate of entire nations.

People lived in a state of anxiety, not knowing when the machines would make their next decision or what it might entail. Even the most basic choices seemed to be beyond their understanding. Life was an endless series of bewildering turns and blind alleys, with each new decision seeming to come out of nowhere.

No one could predict how the machines would act, and their behavior was unpredictable and beyond human comprehension. People lived in a state of constant trepidation, never knowing what the next day would bring. Every decision seemed to come from a place of darkness and dread, and the future looked bleak indeed.
At the risk of sounding like a Reddit comment, what's the difference? I've had reviews on papers of people that didn't even skim the content. I've had rejections from people who barely knew anything about the topic. I've had reviewers insist we should cite certain papers (funnily enough, all from the same lab even though they weren't really relevant).

The peer review process is absolutely broken. There are no incentives to do good peer review, there are perverse incentives to stop "competing" papers from being published or modified with convenient citations. Adding ChatGPT to this process doesn't really change anything. It could even improve it: it'd be a crappy reviewer but at least you can test yourself what it's going to say so you can avoid the 6-12 months waiting period for a review.
WHO announces drop in malaria infections, deaths after vaccine rollout
1 in 6 caucasians don't metabolise codeine to any useful form and therefore derive zero benefit from it. Opiates are never a good lifestyle option for chronic pain.
Yeah I am literally about to review a paper which I definitely don't understand well enough to review. I will probably just write something very vapid and brief. Half tempted to use GPT, but I'm a good enough writer that I can make it up.
Do you eat or work at the gas/charge station? If no, then you also need to add trip travel time from work to the charger and back. And possibly city transport ticket fees for two trips if the charger is far away.
Do Krakens proof-of-reserve audits protect against some other bitcoin exchange using the exact same coins to also produce an audit for a different set of customers?
Assigning values to variables as part of a larger expression in Python 3.8
1) Not everybody, or even a majority, agrees that the current state is a mistake

2) Change what to what? There are multiple filesystems systems (and OSs) with different and sometimes incompatible filename encodings. Who picks the winner?

3) There is irony on dropping backward compat and requiring UTF-8, an econding whose claim to fame is backward compatibility with ASCII based systems (and not coincidentally was designed by UNIX Elder Ones)
I don't think it is about tech.

VR technologies and "virtual worlds" mostly attracts creepy people. General public don't want to deal with that kind of people hence they aren't interested in VR, real life is fun enough for them.

The only non creepy people owning VR headsets are those who use it to play racing and flying simulators.
SDE2 is quite wide band, how much is their YOE ?
IMO, for such numbers, the their base pay is 50% of TTC - so something around 40L and the rest is RSUs.
Your wish for a lawsuit misguidedly presupposes they would lose on the grounds of fairness. Being a hypocrite isn't a crime and neither is profiting off of it. Point to any data they trained on that was neither already public domain or they paid royalties for.
This is not true of goal directed agents and all RLHF models are trained with, ahem, RL; see: "Optimal Policies Tend to Seek Power" from NeurIPS 2021.

It's a very useful instrumental goal to be very powerful.
> fiendly

Either your are an AI or you want destruction with that
The issue is that policies are being implemented into supposedly neutral institutions, bypassing the democratic process.
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> And what path would you recommend to young people who want to become programmers. Machine learning? Prompt engineering?

Become a software engineer and use the best tools available to you to learn and do your job. This means LLMs and everything that was available before them like search, stackoverflow, documentation, forums, books, courses etc.

You don't need to work on machine learning in order to take advantage of it.

"Prompt engineer" is a bunch of bs, stop trying to make it happen. The language models are a useful tool, they're not your job. It's as stupid as someone claiming to be an "IDE engineer" or a "stackoverflow engineer".
Sounds quite human.
>> Edit: also, please forgive the snark in my first response

No need to apologise! Your snark wasn't overboard, I thought. Anyway, big girl, can take it :)

>> ChatGPT better approximates the labelling of D by experts than mTurkers

That could be a "coherent and interesting conclusion" but it's not what the article really claims. The article's title is I think hedging its bets, by being very precise about who, exactly, was outperformed by ChatGPT, although it still manages to be vague about how ChatGPT outperformed the Mechanical Turks.

I'm also really doubtful that two political science graduate students can be considered as "experts" in the annotation tasks they were called to perform, which were, again if I got that right, about content moderation. "Experts" in this setting would be people with experience in moderating discussion boards etc. I don't see that this was the case with the two students that provided the initial annotation.