skysight-inc/HackerNews huggingface dataset:
I see your point, but I just leave it on "balanced" unless the battery is critically low. Fan very rarely comes on, everything runs quickly, and I get decent battery life. This was NOT, btw, my experience with Intel laptops.
KeepassXC does this on Windows (and is free). Strongbox uses secure enclave for master password storage on iOS.
Sure. It’s also comparatively small drop that rarely needs treatment.
"I went 50 miles an hour for 45 minutes."

This conveys useful additional information.
Yet, people stole LastPass vaults. Why bother stealing them if you don't plan to actually crack them? At least someone saw the potential for some ROI.
My instinct is that this is maybe similar - could it be the last desperate acts of a department or departments within Microsoft to justify their value?
Indeed, and it's something that greatly benefits from being done before the house is finished.

When I lived in Texas during a housing boom, we had an electrician on call for our factory. He told me that he would often stop at a construction site on his way home in the evening, and quickly make some extra money by completely wiring a house.
Nah; the model will improve to learn faster and more from less data. Or AI winter.
I appreciate your take here, but frankly I think it ignores the absolutely enormous world of vendors and partners out there, and the challenges that startups face when navigating it.

Quite simply, there absolutely is neither enough time nor mental space to deeply evaluate and understand these types of risks for all of your vendors. Further, this is one of those risks that is abundantly clear in hindsight but a person without deep financial experience or one who hasn't gone through this exact problem would really have no reason to understand or ask about it.

In fact, a person without intimate knowledge in payroll software might have no reason to even understand that there is an intermediate bank account in which funds are parked en-route to employees. It's just extremely unrealistic to expect someone to be thinking about this when picking a payroll vendor. Just like it would be unrealistic for me to expect an employer to perform a deep analysis of an insurance company's historical MLR and books to ensure they're sufficiently liquid and solvent to fund an employee's medical emergency.

Like it or not, social proof is a fairly critical construct in the world, and without it we'd be stuck spending more time analyzing our decisions than we do living with them.
John D Liu made a documentary which covers Jordan's efforts among others titled "Regreening the Desert".

https://www.youtube.com/watch?v=IDgDWbQtlKI&ab_channel=vprod...
Nice. Is it named after the folklore Yakshagana[1]? The logo does resemble the face of a Yaksha.

[1]: https://en.wikipedia.org/wiki/Yakshagana
This is hilarious and shows how ludicrous lesswrong is. It's not a website about AI but a website that has taken Hollywood science fiction way too seriously.

They are going to get quoted a lot 30-50 years from now as a joke.
From my very core I take exception to this kind of thing. And this is one reason why tools like the OMB control numbers are important.

From a purely pragmatic, devil’s advocate perspective though, I did arguably give up my “facial privacy” the moment I mailed off a passport application. Now, that’s no reason to refine the government’s corpus of facial recognition data for me. At the same time if my face is already in a federal database does it make sense to not embrace the potential for increased throughout at airport security?
There were some comments in a 2021 submission, among them one with links to a manufacturer’s website that has good pictures of playground structures.
https://news.ycombinator.com/item?id=28978056
CS had been circling the drain for long time. The Swiss government must have been asleep at the switch.
By law, if the FDIC takes losses to the insurance fund to pay out on uninsured deposits, they have to charge an extra premium to the member banks. So it's still the banks paying for it.
What is more likely to happen is that a government uses an AGI (not necessarily one based on LLMs) to optimize a war, triggering crimes on humanity at an unprecedented scale.
If we are not talking about new analogs created to bypass legislation most drugs are also produced as pharmaceuticals. And those are pure enough and dosage is controlled well enough. How often do we hear that some batch is withdrawn from market?
Unless, perhaps, you are in a coma it is impossible to go anywhere and not learn something. That includes going to college. But there would be no reason for one to single college out amid all the places one goes to learn things. The parent is referring to things that college is seen as being relatively unique in offering.
Really difficult to agree with this given the pace at which LLMs are improving.

LLMs are disruptive in that they enable a form of outsourcing. Outsourcing to the the lowest-cost region in the world, inside a computer. Outsourcing to tireless, ever-improving, highly-intelligent machine workers. Workers that will eventually have a variety of specialized and/or general skills, depending on what they're trained for.

Imagine "offshoring" (AIshoring?) for 1% of the cost of a human employee to a machine with zero time off, zero time zone separation, zero cultural or communication barriers, and with 100% access to all of your corporate documentation, goals, and other context.

Imagine that these "offshore" AI workers only improve every year.

This time, it really is different.
It's kind of amazing that an effect that trends society toward egalitarianism was initially called a "disease".

Economists are a wacky bunch.
I tend to agree, but I think an interesting counter example is the hard wall self driving seems to have hit. There was a moment when even the experts in the field seemed convinced that we were only a year or two out from true Level 5 driving. But now everyone seems to be much more uncertain and conservative in their forecasts of the advent of L5.

Perhaps we'll see similar difficulties with these LLMs. They are definitely not quite there yet.

I'm currently trying to get ChatGPT to write some Python code that formats SQL statements according to my idiosyncratic preferences and it keeps getting very close but never gets it exactly correct.
The most productive human writer in history couldn't begin to compete with the GPT steam-hammer on quantity of coherent output. It would be John Henry versus a modern tunnel boring machine.
Maybe this should even be required by law?

Look, if you want a boot on your neck THAT bad you can find people to solve that problem in exchange for cash.

Leave the rest of us out of it and stop waiting for robots to get you off.
With one exception of the Philippines. Duterte did take a hard stance, but the population in general is pretty accepting --at least much more than in any other eastern Asian nation and maybe that acceptance results in the high incidence of use.
Ads doesn't need this. Ads pay for this.
Entire farms of people dedicated to providing accurate training data. Like battery farms from the matrix but more boring since you'll need a masters degree to become a happy little data provider.

Joking, but training data isn't as big of a problem as you suggest. Since so much about AI is still very centralized it's relatively low effort for them to tag generations in a way that makes sense, avoiding a lot of effects of a loop.
I remember when I was a teen I started noticing how the nanny state had managed to remove all the old swings I used to play with and replaced them with some tiny and safe swings that no one even uses anymore. Children even started wearing yellow safety vests to school all of a sudden. I'm glad there's at least some backlash to this nonsense.
Is there any evidence that the more DEI officials you have, the more diverse, equitable and inclusive the environment becomes?

It seems far from self evident to me, and my anecdotal experience is that it achieves the exact opposite on all fronts.
One of my (many) related concerns is that a lot of startups have seemed to be some degree of investment scam (and not just the blockchain ones) -- where all the engineering was oriented towards appearances, rather than viable business/product.

I think that shaped the thinking of a lot of people, of how product and engineering works, whether or not they knew they were working on more a MacGuffin than a business.
UBS agrees to buy Credit Suisse
You're meant to be scared and upset. That's the point of these stories.
> by Victoria Nuland ... literally caught on the phone planning

This false conspiracy theory is discussed at length here

https://www.thebulwark.com/what-really-happened-in-ukraine-i...
As much as I am against Putin… this article and headline are silly.

If Putin visited Germany he would be surrounded by his own armed security. Any attempt to arrest him would lead to a standoff that would immediately end in him leaving the country or risk a military confrontation that would almost certainly lead to WWIII.

Imagine the German chancellor, or US president were captured by Russian police, even if they justified it through some international organization they helped setup.

The headline and article should read “Putin is unable to visit Germany without making a geo political disaster.”

Unfortunately heads of nuclear states, and their inner circles, are truly above the law. The only way to enforce it, is to risk escalation.
Anything to push a narrative. I personally added Axios to the same pile as Fortune in terms of corporate propaganda.
I'm not sure why you are downvoted. These are all great points.
What difference would a nuclear strike make anymore, several Ukranian cities have already been hit with more TNT equivalent than Hiroshima and Nagasaki and wiped from the earth: https://twitter.com/OstapYarysh/status/1632282407578611712
What you describe is the barrier of entry being lowered, as opposed to positions being eliminated. Fully agree.

Think about the difference between Assembly and Python. Programming will continue to get higher level. Perhaps it won’t be so foolish to ask a truck driver to “learn to code.”

But here is an even more interesting comparison: the salary of someone writing assembly 30 years ago and someone writing Python today. Higher level != paid worse.
> If you bought mixed drugs from your dealer, you'd probably not do business with them again and would warn people away from them.

Dead customers can't return anyway.
Logo is based on a Sri Lankan traditional mask for Fire Devil (Gini Yaka). https://uk.lakpura.com/pages/raksha-masks
Along with making fancy cars, Rolls Royce is a significant aerospace engineering company well known for their jet engines. https://www.rolls-royce.com/
It's rather that the jobs (not the workers) are replaced in the way saddle makers were replaced by mechanics.
LP had an issue with weak encryption for old accounts.
GPT-4 is simply outstanding at writing SQL statements. I made a bunch of examples with non-trivial customer revenue metrics assessments:

https://www.dropbox.com/s/hdhycf7l00d3sx8/gpt4_attempt_sql_q...

It can do basic math reasonably well (and this is achieving generation where GPT-3 failed).
Interestingly, asking it to verify itself does resolve bugs sometimes. Managed to fix subtle count() denominator bugs and an inflation-adjustment error with not much hinting on my end.

You can only see it struggle really hard at the end when it tries normalizing month ranges correctly. It seemed to reach conceptual problems over how LAST_DAY() was being used and current debug itself.
Works for me, you also could try archive.ph instead of archive.is, so this would be https://archive.ph/paeOV
It's because ten year ago, everybody already talked about AI making developer jobs etc. redundant within ten years. And now (or at least a year ago) we have more developers than ever. Somehow the breakthrough is always ten years away. Yes, the technology has improved immensely. I just have not seen any specific business models and product ideas that are thought out in detail, from customer input to final product.
GP's advice generally applies when talking about integrating with a third party API to provide data as a "input" to your business. The things you listed (deployment, hosting, monitoring...) are all after-the-fact concerns, and are generally interchangeable in a way that the API output schema (or systems uptime) for a particular service is not.
What do you mean by "need"? Increasingly, users are force-fed cross-platform web apps. I wouldn't say that's what they need, and you're not even saying it's a good thing.

If users don't need desktop software, then why do they need desktop hardware?
The one thing that surprises/scares me the most in the current state of affairs is not so much the technology itself (after all, technology needs to be absorbed by society, and that is surely a bottleneck here), but how fast the research is going. There is something about machine learning / AI research that makes it both faster to do than other types of research and also super motivating. The people who do ML research are basically just working 24/7 and doing that with a smile on their faces. Most other types of research require you to spend a lot of extra time doing boring, bureaucratic stuff (like handling human subjects, complex protocols, lab equipment, endless meetings, etc.) but in ML you just ideate, program, run the tests, write, publish, repeat. (Sure of course you need to do it right, but that is not the point here.)

And for those who are researchers at heart, that is the best thing in the world: to be able to do your research and push your results out as quickly and efficiently as possible. So nowadays a paper comes out with some new and interesting development, then two months later there are 30 other papers with significant improvements over that first one. (Yes there is a lot of junk, but again that's not the point here: the point is that those who are doing it right can do it efficiently) This is the most incredible thing about this whole situation, and maybe the most scary: there is no way to stop this avalanche of research, because it's not a centralized thing: it's just a bunch of human beings doing what they love, with motivation (both financial and personal). Nobody can stop this. If someone happens to press the doom button in the middle of this, well... that's it!
The same plan as for all the countless cases when they sent radioisotopes in space. Perseverance and Curiosity each have 4.5 kg of Plutonium-238 on board. Did that worry you?
What did wikileaks reveal that showed Clinton broke the law?

They revealed the DNC was trying to tip the scales towards her in their primary which was unsavory but I don’t recall wikileaks having anything to do with the classified emails…

although the main purpose of their release timing was to bury, drown, and distract from a certain other piece of info that had come out - bye bye claim to like transparency lol.

And the email server in hindsight also seems quaint - a scandal from a time of innocence and naivety. At the time it seemed overblown too, but now it’s downright quaint. Non stop private email and encrypted messenger app use followed that, and then we all know how classified docs have gone lately.
"Let's now assume that the user enables the PIN unlock and configures Bitwarden so that it doesn't require the master password on restart."

If the user has setup Bitwarden so the master password is not required, then the user gets what they asked for, namely a password database secured by a 4 digit PIN. Not clear to me why this is a problem Bitwarden needs to fix.
I think it's imperative we prevent people from dying even if our solution is imperfect. Legal sources of currently illegal drugs would save lives full stop.
Haha but Windows isn't even in the discussion because dev that are able to ditch it has already done so.
It would also depend entirely on your definition of “acquire”.

If the Swiss government takes it over for 1 CHF then it’s entirely possible it’s long term a good deal for the Swiss populace.
so, neo-puritans have reached Jonathan Edwards now? “sinners in the hands of an angry god” has much the same energy.
Literally survivor bias!
Laserology: Some thoughts about laser failures that never happened
Risk without risk mitigation is just bad business.
$1.14T to Keep the Lights On: Legacy’s Drag on Productivity
For the most part, they still do.
Yes I originally wanted to add support for OpenCL style C code too. Time will tell if I figure out how to implement it.
Saying that youthfulness is necessary to win the presidency, then somehow fitting Trump into that over Washington, who rode into battle as president.
My dad passed unexpectedly last week. He was a painter and he loved Picasso — and this was one of his favorite quotes. My dad had a firm commitment to never learning how to use a computer. I've never heard anyone else reference this quote before!

Brought a smile to my face, thanks.
They could make the pin process intentionally slow… maybe with some number of iterations… and as computers get faster they can just update the number of iterations required…
> It's pretty obvious that any software that can be written by machine should be.

This is such a good succinct, and I think objective, statement. It strikes me as a great lense through which to look at recent developments.

It does not imply that "all software should be written by a machine". But simply that anything that a machine can do just as well as a human, should probably be done by a machine rather than a human. And all additional value on top of that machine-produced material will continue to come from things that only humans can uniquely do well. And of course, there will continue to be many things in that latter category.

For many of us in this field, this means less busywork and more time spent working at higher levels of abstraction. More time curating, crafting, integrating, strategising. Less time working on the nuts and bolts.

And for those who love to hand-craft the nuts and bolts... I think that opportunity will still be there too. Because handcrafting will become a rarer skill, and there will still be areas where it is the correct approach.

Those of us who used to handcraft nuts and bolts but now delegate this to the machines, will still benefit from our understanding of how the nuts and bolts used to be made.

And those who grow up having never made a nut or bolt - perhaps not even knowing what nuts and bolts even are, will benefit from starting their path much earlier on in life working at a higher level of abstraction.
They don't do it intentionally for the most part, it's cross contamination or poorly handling and lab protocol by people with cargo cult training.
Maybe reduce the shielding requirement by burying it in regolith with only the heat exchangers exposed?
Reducing consumption of drugs in general due to mass spreading of fear of instant death from laced coke could be one.

Also there's money in selling Fentanyl.
> but it tells you where students think power and authority lies.

Perhaps, or perhaps the other student just didn't know who to contact, so contacted whoever they recalled from the various trainings being a confidential source or mandatory reporter or whatever. Of perhaps the student knew someone in DEI and felt more comfortable reporting it to that person.

Universities have for centuries now had separate reporting structures than to local police. I think this is the bigger problem. If something illegal happens students should be reporting it to the police (and not campus police).
I really hope more users discover Pixelfed. As a developer, it was so easy to work with (99% people of the time just treat it like the Mastodon API).
> When do you think the war started?

When do _you_ think the war started? Annexation of Crimea was ordered by Putin.
Children don't know better and getting hurt isn't always the best way to learn because their could be permanent consequences
Useful electricity was not born suddenly into a world that had never heard of electricity. People had been playing with electrical toys and scientific equipment for generations before advances made industrial electricity possible. Electricity may have earned any number of different cultural reputations for its associations with aristocrats, magicians and quacks.

Just yesterday I rewatched James Burke’s Connections, episode 3, Distant Voices, which vividly illustrates some of the ways people tried using electricity.
Had an interesting experience with OpenAI's GPT-4 while trying to solve a programming problem. It involved creating a TypeScript function that handles complex semver logic given certain conditions.

Initially, GPT-4 provided a solution that didn't work as expected. After pointing out the issue, GPT-4 attempted to fix it but still failed to resolve the problem. I decided to rewrite the function from scratch, which resulted in a cleaner and more efficient implementation.

After sharing my solution, GPT-4 provided valuable feedback on how to further optimize it. These changes made the code slightly more efficient while maintaining its clarity and functionality.

In conclusion, my experience with GPT-4 has been a mixed bag. It struggled to provide an accurate solution initially but eventually offered valuable feedback that improved my implementation.

(this was written by GPT-4 with minor modifications, I asked to summarize the conversation we had for an HN post)
Yes very good point, I started this by writing a spec. However I already started a tutorial section in github discussions: https://github.com/orgs/YakshaLang/discussions/categories/tu....
I should add a link to it in main page.
It is critical that we seed the internet with AI-fooling propaganda now, to protect ourselves from the AIs we will create.

Of course we could pump the brakes on pushing AI forward solely out of greed, facing the hard questions about ourselves and our society. But then we might not be as rich, or be able to buy as much stuff (in the decades before the AIs control all the stuff)!

So yeah, let's be rational about this: Irresponsibly push AI forward until it takes over Earth, while betting on being one of the few hidden humans surrounded by gold bars and canned vegetables in our bunkers, narrowly saved by clever propaganda sprinkled on the internet years earlier.
American deserts aren't anthropogenic.
It's probably already superhuman? That's... one interpretation of GPT. I interpret it quite differently.

Unless you're going to say that computers were already superhuman? They could do arithmetic far faster than any human ever could. Also pure logic. Chess and go, even. Were they superhuman then?

Because as I look at GPT, I don't see superhuman. I see a babbling idiot that babbles in correctly-constructed English sentences, but has no idea what it's talking about, and that manages to be factually correct... maybe 70% of the time? (That's hard to measure, because the universe of possible discourse is really large.) And, worst of all, GPT has no idea of when it doesn't know something, but will irresponsibly blurt out... something. Something random that its training set made it think is the least-implausible thing to say right there.

You know, if they could just fix that - if they could add some kind of weight so that it knows when it's getting into an area that it doesn't have adequate training data for, and program it to express uncertainty rather than certainty in something wrong - that one change would make it, still not superhuman, but at least much more useful.

And, if we could do that, maybe we could do one more step. If it has more than one strong possibility, but they are contradictory, then there's contradictory data in it's training set, and it's likely dealing with something controversial rather than certain.

I know, I know. Everything is easy to the one who doesn't have to do it. It's probably much harder than I said. But I think that's what GPT needs going forward.
Trilion Dollar Stopgap: The Intel 8086
What state manages playground equipment?