skysight-inc/HackerNews huggingface dataset:
Just describe a average website and see if ChatGPT can reproduce it.

I think the description as such will be the difficult tasks, followed by fine tuning your description if ChatGPT's result isn't correct.
At this point I don't think anyone can predict where we will be in 5 years because its changing very quickly.

From my view, chat gpt already codes a lot like a jr. developer but much faster
These demos all give me the same vibe as "we prevented aging in mice". It's really impressive and interesting but I don't think we should be worried about our jobs disappearing any more than what living to 200 will be like.
The Teach-a-Thon: A possible way to use chatbots in education
This issue pops up somewhat commonly with web services that decide to add a reverse-proxy CDN but don't put the "Cache-Control: private" header on all HTTP endpoints that return data specific to the logged in user.
He has either started getting high on his own supply, or it's one last pump-and-dump before he cashes out. You got 20 million in BTC and spend 1 to pump it up 25%? Good deal, enough to pay your taxes.
With all due respect, no offense, but I find comments like this a little bit disrespectful.

These are a couple of volunteers, working for free, and you're saying that it'd be better for them to volunteer their time for the benefit of a huge trillion dollar corporation and work on something that the aforementioned corporation explicitly does not want (but could very easily do itself).
> I am dismayed but not surprised at just how much money people will spend on e-bikes to avoid exercise.

I am dismayed at how much people spend on plastic coffee pods just to avoid making a proper coffee!

Before I got an ebike, I didn't have confidence of riding on the road proper- > now I know I won't be slowing down to 5 MPH on an uphill, with someone behind me honking incessantly or overtaking dangerously.

I installed nice bright lights powered from the central battery, mirrors and a horn. This makes a world of difference.
The Next Silicon Frontier
In terms of regulations, I'd propose we bring back bigger down payment requirements (20%) and end the infinite availability of artificially low-interest debt. The absurdly cheap debt has driven speculation by bigger entities on housing, driving up the prices, and eased lending standards have just attempted to give individuals and families a fighting chance at competing for homes, also driving up the prices. I'm not sure how financing of homes in London compares to the US, but the effect of near zero interest rates (which is behind us at the moment but I wouldn't hold your breath) have been global. I don't know how you encourage mom and pop landlords while cutting out a lot of the wild speculative money looking for a home in real estate, but it seems pretty important to figure out.
That would be great, but I don't see it happening. Instead I find it more likely that human labour will be relegated to other activities which cannot be automated like food delivery, driving, cleaning et cetera, and we will all keep working 40hr work weeks (if you are lucky to have a job).
I've heard this argument before, and I think there's a kernel of truth there. Thing is, municipalities+towns+states have already poured significant public money into police earnings, thanks in part to police unions who negotiate generous overtime rules, defined benefit pensions, and even off-duty pay for private security [1].

I think most people would agree that higher education tends to bring higher salaries, but strangely this is exactly backwards with US policing. It seems to me becoming a police officer is a rare way to get comparatively high and stable earnings _without_ earning a degree or putting in the work and time investment associated with other decently paying jobs.

Meanwhile, Norway requires police officers to earn a three year bachelor's degree and over the past 12 months the # of police killings is low (I think 1). In the US, it's 1,117 - around 3 a day.[2][3]

How would you add a degree or substantial training requirement when the pay is already so high? The status quo in America is a national embarrassment, IMO.

[1] https://www.propublica.org/article/new-jersey-police-contrac...

[2] https://worldpopulationreview.com/country-rankings/police-ki...

[3] https://www.washingtonpost.com/graphics/investigations/polic...
That I definitely agree with. I also think you're right here in regards to viewing Steam's Steamworks as a sort of abstraction layer or prerequisite for their metaverses to work. Without Steamworks, TF2/CSGO/L4D/etc become isolated experiences.
> the thing I find disingenuous is that it came out of fucking no where 3 years later

That's how these things happen, at least to the original SARS. Okay, besides killing all masked palm civets for "idk maybe" about 3 months into pandemic.

https://en.wikipedia.org/wiki/SARS#Origin_and_animal_vectors...

Jumping the gun on masked palm civets, then raccoon dogs, then confusion, then 2 years later all at a sudden bat. And 12 years later the actual bat shit.

> Also the media outlets picked this up so fast

TBH I don't see this discussed anywhere else.
Why do T-Rex's have such tiny little hands? The answer is obvious: They were master programmers and loved computers.
I've been here numerous times. There's a lot to like. When you walk to the left side, there are some very old machines going back to the very beginning of pinball. They're interesting from a historical perspective, but not so entertaining to play. Still, it's neat to see how the art evolved and the fact that you CAN play the really old machines is really cool.

I do have a few complaints about the place.

1. The place is loud. And I guess that's not really their fault. If you get a bunch of machines that make noise all in the same room together, it's just going to be loud. However, one of the most wonderful things about these machines was the strange, unique, and beautiful noises they made. I was excited to find a couple of my favorites, but just couldn't hear them over the din of all the other machines. :-( It would be amazing if they could install a headphone jack on at least the digital machines so that if you wanted to play and really listen to the sounds, you could bring a pair of cans and immerse yourself. At the very least, they should disable attract mode on everything so that it only makes noise if someone's actually playing it. That might help a bit.
2. Weak coils. It's so frustrating to play a pinball machine knowing that you should be able to maneuver the ball to certain places but can't because the coil that's actuating the flipper is just shot. Williams' Black Knight was one of my favorites back in the early 80's and they have it. But once the ball falls to the lower field, it's pert-near impossible to get it back up there because the coil has just lost its oomph.
3. They purportedly have many more machines in storage and will swap certain ones out periodically, but I haven't seen that all the times I've gone over the last few years. It seems to be the same selection. I'm always hoping to see Xenon when I go, but I never do. When I ask about it, they tell me they have one in storage and that it may show up soon when they rotate machines, but it always seems like the same ones every time.

Anyway... I don't want it to seem like I'm bad-mouthing the place. It's great and a lot of fun. I would go more often if they could fix the annoyances. That's all.
Many prisons have been bought up by private companies.

Judges have been convicted of taking bribes in exchange for convictions: https://www.npr.org/2022/08/18/1118108084/michael-conahan-ma...
To add some context... Filligree's "sin" was the audacity to use AI generated art in their fiction writing, instead of paying commission, and being opposed to proposal for banning AI art where they posted said writings, with argument for ban being that "AI art is inherently theft, immoral and evil", with no possibility of ethical use accepted. Funnily enough, proposal was from someone who earned a lot of money by violating technically the same aspects of copyright, except harder (fan-art is much more of a derivative work than training a model where each individual image might have added ~2bits to the model).

Personally I'll add that I do not remember anything other than neutrality or more or less concealed glee from the same corners when the discussion was about how outsourcing and the like would eradicate my source of income, which arguably makes it much more to feel positive thoughts towards people advocating such proposals.

So, with regards to whether Filligree is with the baddies...

I recommend not invoking Godwin for puny things.
AppleScript: It’s easy because you write it like natural English! Sort of. We’ll it’s not really natural English. It also doesn’t have semantics that make sense for a programming language. Good luck!
Powell is trying to save the economy and I don't think most people realize what they're in for if he fails.

Give us a credit crunch.
Just tested this and brotli gives an extra 1-1.5k saving over the zstd versions (18329 vs 19529 for tiger-clean.svg, 15749 vs 17114 for tiger-prec2.svg)
As I understand it, while the core pieces required for Linux to run on Apple Silicon will be upstreamed, there are parts that smooth the experience out and make it more practical that are unlikely to be integrated into other distributions, which necessitates Asahi's continued existence as a distribution.
Make AI Robust and Trustworthy with CAPSA!
Modern AI models show great potential across various applications, but their deployment in everyday life is limited due to a lack of trustworthiness. While accuracy is crucial, AI models must also recognize when they can and cannot be trusted to make decisions, especially in safety-critical systems. To bridge this gap, it’s essential to develop AI models with built-in trust mechanisms for reliable decision-making in real-world scenarios.

Trustworthiness in AI models can be improved by addressing three risk sources: Representation Bias, Epistemic Uncertainty, and Aleatoric Uncertainty.

- Representation Bias refers to the potential for the model to favor certain groups or types of data over others, leading to inaccuracies in its predictions with under-represented data.

- Epistemic Uncertainty, also known as Model Uncertainty, describes the uncertainty associated with the model’s ability to make accurate predictions based on the data it has been trained on. Epistemic uncertainty can be improved by training the model longer, or picking a model architecture with higher predictive capacity.

- Aleatoric Uncertainty, also known as Data Uncertainty, refers to the inherent noise or unpredictability in the data itself. This type of uncertainty can arise due to factors such as measurement errors, labeling errors, or natural variations in the data. This can only be improved by improving the data source, or manually fixing the inherent issues that lie within the dataset.

To address this issue of AI trust and gain knowledge of the risk metrics mentioned above, we are open-sourcing CAPSA -- a tool that automates the creation of robust and trustworthy neural networks! It is a Python library that utilizes wrappers to make tensorflow/keras models risk-aware. These wrappers work by augmenting a given model to support the risk metric the wrapper provides. The wrapped model gains risk awareness capabilities, outputting risk metrics mentioned above alongside its predictions. Since these wrapped models are simply augmented models, they can be further trained with Keras API.

Checkout CAPSA and STAR our repo if you find it cool or helpful for your projects!

We also have a paper published if you'd like to learn more about the details of how some of our wrappers work: https://themisai.io/papers/capsa.pdf

Let us know what other features you would like CAPSA to support and we'll work on adding them as well!
This ties back really well to the OP. The most important thing in interviewing is dividing people into these two categories. 10 years of experience clocking-in and clocking-out is no experience at all. I'll hire some kid who is a go-getter over that.

Unfortunately in academia it only matters if you hit your grades, which are gamed to hell and back. So you really can't tell at a glance if an A student is going to be good or bad, I hired based on a transcript once and got burned so badly that I'll never do it again.
So much for skating to where the puck is headed.
>the alignment problems that plague AI safety research are all playing out in company structures every day.

Yes yes yes holy crap yes.

Corporations are AI, and we are already in the AI apocalypse. Corporations exhibit emergent behavior that any individual human involved with them is powerless to stop, and they self-optimize towards inhuman goals. Coca Cola inc is a paperclip maximizer, except it maximizes the consumption of flavored sugar water. We are completely failing as a society to adequately rein them in.
And? One thing I like about Silicon Valley culture is nobody cares how you dress, just how you work and think.
I reflexively closed the tab when it came out haha.
With a decade of experience as a front end dev in this industry, I have to agree with the premise, although not for the reasons stated. AI is, and will be, hugely disruptive for all fields of programming. But it won't be taking jobs any time soon.

The reason front end development as a skillset is coming to an end is that we've solved all of the problems that front end devs were responsible for. Front end used to be a very specific skill set that dealt with taming the complexities of cross browser support, and shoehorning the browser into a proper application platform. Those concerns are no more. Browsers have all converged on chromium-as-a-standard. Things like Tailwind/CSS-in-JS are quickly making traditional CSS skills obsolete; gone are the days of needing someone who knows how to cast arcane incantations of CSS rules to get an image centered on a page. And with modern frameworks and development techniques, all the stuff about semantic HTML and whatever else is being thrown out in favor of DevX and rendering everything as a pile of <div>s.

There has been a massive shift in the last 3-4 years where practically all job listings are now "full stack", with the expectation that UI work is "just some silly thing we have to deal with" on top of the real work. Perhaps some huge companies will maintain the separation but most have already given it up.
With cancer, you have enough statistical data to tell the likelihood.
With ETs, you do not.

Your matrix of course splits nicely with "ETs or no" and on the other hand is arbitrarily extendable in various dimensions. But in any case, just because yours has four entries shouldn't keep you from considering each option.
I really want to break your argument down, so you can maybe see how it doesn't really argue in any sort of way for what you think it does, and doesn't really make sense. I'm not trying to be hateful, but I really think you might benefit from seeing this from an outside perspective.

Argument: I do not see a single [union] effective at "Stifling CEO's from becoming rich".

1st Proof: American Automakers produce low quality cars.

2nd Proof: The only thing keeping them in business is lobbying from American Lawmakers.

Your proof has nothing to do with your argument. At all. They're not related. They're also very subjective and impossible to actually prove. They're not proof; they're opinion.

A more effective argument would be:

Proof: The largest Union employers are x, y, z, and their CEO's make $x, $y, $z.
You say the writing was easy, but I seem to remember inventing questions about connecting your toaster to your CPC. :-)
> I doubt it will be possible to create a new VR-device without the patents of Sony, Microsoft or Samsung.

It's easy to avoid the patents by waiting for them to expire. This is the traditional way of doing things, and is why there are so many instances of technologies not becoming commonplace until 20 years or so after they are patented.
The problem with valuing things at something other that mark-to-market is you can get an illusion of stability. This is especially the case with bonds: so long as the issuer is paying, the buyer pretends all is fine, regardless of how close to default the issuer came. Now this isn't a situation where the government backed bonds held by SVB would default, but the principle is the same: you wouldn't get the same money for them today, so why pretend that your bank is well capitalized when it isnt?

This is part of why bonds and credits cause problems that you don't find with equities. It's the normal thing to value an equity book as the market price, so if you have losses you have to do something about it. Somehow that isn't universal in credit markets (partly to do with illiquidity, sure, but some of these instruments aren't illiquid), so when there are swings you sometimes get everything being fine, other times gigantic losses that become too big to do anything about. This whole thing with having a Hold-To-Maturity book is a problem.

The image in everybody's mind should be Wiley E Coyote running off a cliff. He doesn't fall until he looks down and finds nothing under.

Of course it would be interesting to hear another perspective. I'm basically just saying "why isn't this bank just run like a hedge fund" because that's what I'm used to.
hedging reduces profits if the hedge isn't needed
It is quite unstable and frequently generates incorrect results. E.g., with the Fibonacci sequence prompt, sometimes it skips a number entirely, sometimes it produces a number that is off-by-one but then gets the following number(s) correct.

I wonder how much of this is because the model has memorized the Fibonacci sequence. It is possible to have it just return the sequence in a single call, but that isn't really the point here. Instead this is more an exploration of how to agent-ify the model in the spirit of [1][2] via prompts that generate other prompts.

This reminds me a bit of how a CPU works, i.e., as a dumb loop that fetches and executes the next instruction, whatever it may be. Well in this case our "agent" is just a dumb python loop that fetches the next prompt (which is generated by the current prompt) whatever it may be... until it arrives at a prompt that doesn't lead to another prompt.

[1] A simple Python implementation of the ReAct pattern for LLMs. Simon Willison. https://til.simonwillison.net/llms/python-react-pattern
[2] ReAct: Synergizing Reasoning and Acting in Language Models. Shunyu Yao et al. https://react-lm.github.io/
We saw this one iteration back with VMWare. Once it became easy to spin up a VM without getting a PO for a server and finding rack space, the number of "servers" in the org exploded. And of course we lost track of what they all did, and who they belonged to... but there was actually a healthy ecosystem of tools built for (and by) VMWare to manage this situation. The cloud providers seem incentivised to make tracking real costs as difficult as possible. At least with VMWare once you paid for it, it was yours.
> If I take a look at it, I didn't steal $1000 from you.

> If I photograph it, I still didn't steal $1000 from you.

This is where the inductive logic breaks down, because you are unlikely to make a perfect substitute (in other words, copy) of the product by simply looking at it, but by photographing it, now you can, which means you have denied compensation to the author of the work by being able to produce a perfect substitute.

> If I'm not willing to pay a creator for their content, it must not have any value to me.

If it doesn't have any value to you, why are you making a copy of it in the first place? :)
No you cannot. There are a bunch of politics, and silent rules. I don't think you understand how toxic the environment is and how childishly these cops can act.

I suggest reading r/protectandserve for a while. Bonus points if you follow threads after some massive video gets released. You will see a lot of bans of non-verified users and a lot of siding with the cop.

Here is a locked thread from Derek Chauvin sentencing, according to users trial was a sham.
https://www.reddit.com/r/ProtectAndServe/comments/o7vpe7/der...
It's bad enough using metamask on Chrome; the idea of entrusting Microsoft Edge with Crypto on a Windows machine seems like a disaster waiting to happen. Like leaving the door unlocked.
That takes a several years at 150k salary, but is entirely feasible.

If you don't have a down payment and cant save one, you are in for a bad time everywhere.
Right, so presumably, a society where there is no expectation of war and needing to pump out bodies to go to war would be a happier society.

Do women have a “responsibility” to birth x number of babies so people can have access to cheaper labor?
I dont know. Why do I need to know this shit? What are you working on? Are you sure this isnt just “stuff I am familiar with” list and you are confusing it to actually foundational stuff?
Buyers wont be paying much, if any premium right now unless there is a significant asset that is very valuable to multiple businesses (very much a buyers market).

Its likely that shutting down before the next big bill hits (end of month?) then liquidating is most profitable route since it appears that it is operating at a loss. Im sure there is residual value here, but probably less as a whole.

If there is lawsuit risk, buyers may prefer dissolution of the company and just aquiring its assets instead.
> I find modern society to be substantially better than, say, even a couple hundred years ago

It is quite impossible for us today to have any idea of how life was a hundred years ago, because there are many other factors than technological comforts that influence quality of life. History does not give much of a clue either, since it is a field that is always heavily propagandized by current rulers wanting to let the population know how they have saved them from the horrors of the past.

I wouldn't even trust old people too much on their accounts of life in the past. Their memories are influenced and sometimes replaced by media and current "truths". A person who lived through an important happening IRL once has after that seen the media account of that happening hundreds of times throughout the decades of their life. Talking to old people or reading interviews with them, it is rare to hear them tell any deeper account of their life in the past. Sadly.

I wonder if that will happen to me also, and what would be the solution? Keeping a diary?
> So either way, Balaji is 100% guaranteed to lose money on this bet, no matter what happens. It’s not a risky bet; it’s a sure loser.

I’ve seen versions of this take, and they all conveniently ignore the more obvious possibility:

This “intellectual dark web genious” and his buddies work together to orchestrate a stupid publicity stunt that is nothing more than a naked attempt to artificially inflate the price of bitcoin by trying to recreate the anxiety around USD that helped propel bitcoin to its tenuous quasi-legitimacy in the first place.

“Crypto millionaire sets money on fire to try to push more people to dump cash into a magical internet poker chips in order to cash out even more” is not some sort of philosophical experiment, it’s an obvious ploy to enrich some bitcoin maximalists by preying on economic anxiety.

I love how all of these crypto “philosophical true believers” always require that you take actual cash out of your bank account to buy into their experiments.
> There's a stark contrast between content they write/share on the spot or discuss in meetings.

I'd be worried about false accusations of this. Some people are much better at communicating in writing, when they have time to think about how to word things, and not so good when put on the spot in a meeting. Others might be better at communicating verbally, and perhaps too verbose in written communication.
> A small JS app like this blog has ~65k lines of code, across 900+ files. That doesn't include the written content, only the JavaScript and TypeScript.

More or less sums up why I think FE dev has reached peak ridiculous.

Good luck ChatGPT.