skysight-inc/HackerNews huggingface dataset:
"it’s difficult to get a man to understand something when his salary depends on his not understanding it.”

- Upton Sinclair
The issue isn’t the U232-33-35. Its the potential for meltdown, which the MSRE systems fully mitigate in situ
It would be pretty irresponsible for the city government not to have some budget for good will items like this. It’s not about making a favored victim whole. It’s about preventing a news crew going back to their country and saying “hey, we wanted to air a story on X, but we were robbed so we’re doing a story on SF crime instead”
> self-regulation of addictions is impractical

Welcome to the 18th Amendment.
White faces generated by AI are more convincing than photos, finds survey
How is it impossible if opencore app exists that does the installation of MacOS for you?
kind of weird crack about gpu and ib failure rates. can anyone expand on that?

(I'm familiar with several large HPC clusters that have low gpu and ib failures)
Instagram does for reels and you occasionally get related pages popping up in your feed.
The current issue seems mostly of policy. That is, the current LLMs have designed-in capabilities that the owners prefer not to make available quite yet. It seems the LLM is "more inteligent / more gullible" than the policy designers. I don't know that you can aim for intelligence (/ intelligence simulacra) while not getting gullibility. It's hard to aim for "serve the needs of the user" while "second guess everything the user asks you". This general direction just begs for cat and mouse prompt engineering and indeed that was among the first things that everyone tried.

A second and imo more interesting issue is one of actually keeping an agent AI from gaining capabilities. Can you prevent the agent from learning a new trick from the user? For one, if the user installs internet access or a wallet on the user's side and bridges access to the agent.

A second agent could listen in on the conversation, classify and decide whether it goes the "wrong" way. And we are back to cat and mouse.
<https://www.techdirt.com/2023/10/31/the-retail-theft-surge-t...>

<https://www.propublica.org/article/thousands-of-new-york-wor...>
I was imagining some kind of "national ID card" that provided a method to verify it was really you.
that's true, but it's harder to replace someone when you have a personal connection to them. VC fund managers are more likely to be personally known to he person who signs the checks. low-level workers may never have spoken any words to them or even ever have met them.
Are they doing anything about YouTube Shorts?
You can also set up your own repo for fdroid. With Android 12 and above, neostore can auto update apps. It actually works now.

And I believe Android 14 will bring even more updates here but I don't remember exactly what it is ..
'Nice' is https://en.wikipedia.org/wiki/Just_an_Illusion
let's gooooo babyyyyyy

I hope it's fully successful
> It knows more languages, more tricks, more libraries, more error codes, is faster, cheaper, etc.

True up until the point that you want to do something that hasn't really be done before or is just not as findable on the internet. LLMs only know what is already out there, they will not create new frameworks or think up new paradigms in that regard.

It also is very often wrong in the code it outputs, doesn't know if things got deprecated after the training data threshold, etc. As a funny recent example, I asked ChatGPT for an example using the openAI nodejs library. The example was wrong as the library has had a major version bump since the last time the training data was updated.

> The only area that I still feel superior to ChatGPT is that I have a better understanding of the "big picture" of what the program is trying to accomplish and can help steer it to work on the right sub-problems.

Which probably is based on your general experience and understanding of programming in the last 30+ years. As I have said elsewhere, I really don't think that LLMs in their current iteration will be replacing developers. They are however going to be part of the toolchain of developers.
> It’s pretty good, but adding two ESP devices gives the impression you’re getting boot redundancy and you’re not. Only one of them will end up with GRUB. Then, once you fix that, only the primary device will have an entry in fstab and SystemD will have a nervous breakdown if you try to boot off the secondary with the primary missing.

How do you do that? The only way I know of is to use mdadm to RAID1 the partitions[0], but I wouldn't expect that to break the way you've described.

[0] This is also a bit fiddly; IME you have to pick a specific configuration so the firmware will read the result.
That most people in the world get by just fine without them? Yeah, actually. Isn't the median reading level like 8th grade or something in the States?
It’s back online! Yay!
Another aspect of the failure is the kind of vehicles that US automakers are building:

https://news.ycombinator.com/item?id=38249140
I'll admit that I read up until this point:

> At one point, we wanted a command that would print a hundred random lines from a dictionary file. I thought about the problem for a few minutes, and, when thinking failed, tried Googling.

and concluded that this person is not a skilled enough programmer to be making any statements about the demise of the craft, nuanced or not.
Chef's omnibus installation is a full ruby interpreter along with associated support libraries like openssl and everything more or less above glibc necessary to run the client. It may not be binary only but there's ~100MB of so of binaries in it.

Pretty sure Puppet has something similar with pre-built binaries.
I think you are mistaken. By the original definition the US could never be anything but a first world country. In modern usage first-world and third-world are anachronistic ways of saying developed or developing economies. I don’t see any possible argument for the US not having a developed economy as long as the dollar is the world’s benchmark currency.
I agree for the most part, but I've decided markdown is the best for this. Plain text is just easier to link, store, query and markdown can be rendered as slides with little to no effort.
Actually I'd argue that we've had robots forever, just not what you'd consider robots because they're quite effective. Consider the humble washing machine or dishwasher. Very specialized, and hyper effective. What we don;'t have is Gneneralized Robotics, just like we don't have Generalized Intelligence.

Just as "Any sufficiently advanced technology is indistinguishable from magic", "Any sufficiently omnipresent advanced technology is indistinguishable from the mundane". Chat GPT will feel like your smart phone which now feels like your cordless phone which now feels like your corded phone which now feels like wireless telegram on your coal fired steam liner.
Spend at least a decade solving hard problems

That's the hard part. If you can do that you absolutely deserve all the sweet offers coming your way.
I'd like to see some numbers about how much auto dealers make on service, and how much service EVs need compared to combustion engines.

Off the top of my head, EVs only need regular maintenance for the air filters, tires, and wiper blades, maybe power steering fluid?

ICE needs the same plus oil changes, belts, engine coolant, fuel filters, head gaskets, more brake fluid replacements, muffler/exhaust repair, oil filters, spark plugs, transmission fluid, water pumps, etc.

Each one of those is a lost sales opportunity for EV purchases.
I've been living my life wrong this entire time. All my friends are from work.
>Maybe I’m in the minority. I’m definitely extremely impressed with GPT4, but coding to me was never really the point of software development.

You're not the minority. You're the majority. The majority can't look reality in the face and see the end. They lie to themselves.

>While GPT4 is incredible, it fails OFTEN. And it fails in ways that aren’t very clear. And it fails harder when there’s clearly not enough training resources on the subject matter.

Everyone and I mean everyone knows that if fails often. Use some common sense here. Why was the article written despite the fact that Everyone knows what you know? Because of the trendline. What AI was yesterday versus what it is today heralds what it will be tomorrow and every tomorrow AI will be failing less and less and less until it doesn't fail at all.

>But even hypothetically if it was 20x better, wouldn’t that be a good thing? There’s so much of the world that would be better off if GOOD software was cheaper and easier to make.

Ever the optimist. The reality is we don't know if it's good or bad. It can be both or it can weigh heavily in one direction. Most likely it will be both given the fact that our entire careers can nearly be replaced.

>Idk where I’m going with this but if coding is something you genuinely enjoy, AI isn’t stopping anyone from doing their hobby. I don’t really see it going away any time soon, and even if it is going away it just never really seemed like the point of software engineering

Sure. AI isn't going to end hobbies. It's going to end careers and ways of life. Hobbies will most likely survive.
> On the other hand: Red Hat will support everything they offer during the lifetime of a release. They don't really pick and choose as far as I'm aware. Caveat: EPEL et al

I mean, that's the distinction; Ubuntu just includes their EPEL equivalent in the default repos. If you leave out EPEL, then RHEL has far less packages (or did last time I was in that ecosystem), because RH does their pick-and-choose at the repo level.
"Non-Turing-complete" still leaves you vulnerable to the user plugging into the conversation a "co-processor" "helper agent". For example if the LLM has no web access, it's not really difficult - just slow - to provide this web access for it and "teach" it how to use it.
Until the LLMs get better.

I just asked ChatGPT a thing, and then on a hunch I asked if there wasn't a built-in function that does the same, and it indeed remembered there is such a function.

What if that second question had been automatically and transparently asked? What if there is a finite list of such "quiet reflecting" questions that dramatically increases the value and utility of the LLM output?
And lawyers can lie all they want, right? Wonder if there was an argument in the 1700s where one guy was really insisting that right to remain silent made ability to lie redundant and it’s more elegant to just not have it.
It has been heavily flagged by users, and isn't really on topic for HN.

https://news.ycombinator.com/newsguidelines.html
Hello Crypto Pioneers! Today, let’s set sail on the digital currents of MYMetanomics and explore the captivating realm of the SharkTank — a collective of 5000 MYMetaSharks steering the course of innovation within the MYMetanomics universe.
They should make crime illegal again
It's mostly automated but then you will get someone every so often that holds up your release, can only speak by quoting the guidelines, make you decipher their cryptic quote, just to find out that it's about some rule change from six months ago you missed in an email.

It's even more fun when it's a purely administrative thing like updating information in a link on your developer profile, but they make you upload a near identical binary, since the automation has kicked in again and they can't rereview an already submitted and rejected app.
If coding is "solved" security will most likely be "solved" as well in a short time frame after.
In general people are already working at their limits, tooling can help a bit but the real limitation to handling complexity is human intelligence and that appears to be mostly innate. The people this replaces can’t exactly skill up to escape the replacement, and the AI will keep improving so the proportion being replaced will only increase. As someone near the top end of the skill level my hope is that I’ll be one of the last to go, I’ll hopefully make enough money in that time to afford a well stocked bunker.
I'm not sure what you mean by "many pins". USB C has 24 pins in it. HDMI has 19 pins, DVI has up to 31, old parallel scsi has a lot, but modern SAS is 31. USB C seems to be comparable to others that carry similar signaling. If you're looking at a small number of pins for power and bandwidth 10gb poe is 8 pins and the range is much farther than most of these others are rated for.
When was the last time you used Instagram? Or Youtube? They're almost Tiktok clones at this point.
Google is suing AI scammers and fake DMCA takedown submitters
You're right! Sorry
What are you claiming was improved compared to Win2K? As far as I can remember everything after that was dumbed-down UI and pointless security clickthroughs.
So no different from the previous Zelle model
I couldn’t replicate the above with gpt4
>So is patching this as simple as not allowing the entire space of X for user prompt?

>No

Isn't the answer yes?

>The "obvious" fix for this is to ensure that the their instructions are always within their horizon.

That's what I take GP to be suggesting. Any possible failure mode that could result from doing this is less serious than allowing top-level instructions to be pushed out, surely?
Amazon Lays Off 180 Employees in Its Games Division - https://news.ycombinator.com/item?id=38253825
Alice in Wonderland – The Simulation Paradox
And now you are here
In chess, it only took a few years to go from human optional to human in the loop being non-optimal to the point that it would cause them to lose moste of the time.

I expect that this will become the case in a rapidly increasing number of situations, including many workplaces and even in the military.
If you had actually read what it wrote:

"Remember, this is a probabilistic approach and works well if the lines in your file are roughly the same length. If the line lengths vary significantly, some lines will have a higher or lower chance of being selected."

It had already addressed "the real problem with its implementation" that you pointed out.

> PS in the case of dictionary words with a length limit of say 30 letters, there is still an O(k) general solution using rejection sampling.

Again, what ChatGPT wrote:

"In a typical scenario where lines can have variable lengths, true O(k) random sampling isn't feasible without some prior knowledge about the file."

Knowing that the limit is 30 characters without question counts as "some prior knowledge".

As an interviewer, it sounds like you're not hearing what the candidate is saying.

> And it definitely shows the limits of GPT here

I don't think anyone here is claiming that ChatGPT is limitless. The topic is "a coder considers the waning days of the craft", not "a coder considers the bygone days of the craft." ChatGPT is capable of solving many real world problems already. If it continues improving, some people are concerned about what that could mean, especially for less experienced developers.

How many people have you interviewed with that brainteaser that have actually provided the complete solution you're looking for? Vanishingly few, I would imagine, unless you were dropping some serious hints. It's not a real world problem. Most brainteasers have solutions that are "conceptually simple" once you already know the solution.

> I'd prefer to think it's more like a real engineering problem, and less like a simple interview question

It's absolutely not, though. It's exactly like the infamous trick questions that many tech interviews are known for, which have nothing to do with real engineering that you would encounter on the job.

You might as well have someone invert a binary tree for all the value that it provides.
I just launched my SaaS business - called Simple Cohort. The core functionality is taking a CSV of raw transaction data and parsing it into cohorts. You can see your retention rate, LTV and gross margins once the file is parsed. You receive the cohorts in a CSV that you can download, so you can take the resulting cohorts and import them to Google Sheets. From there, you can use them to crunch numbers in any way you want. You can use them to prepare critical metrics for your data room for investors.

I built this tool as an internal tool for the company I am currently co-founder and CTO of. We are a VC-backed startup preparing for an A round. We use this tool every week and the data drives almost all of our decisions. We also use the data in our data room for investors - we just had a board meeting last week where we went over some data from the cohorts. I figured I'd spin up the tool into it's own business so other early stage startups can try it out.

It's free to try, you can run 3 cohorts without paying anything. After 3 cohorts, every additional cohort is $3. You can also buy in bulk for discounted pricing. There's a demo video on the homepage that shows you how to prepare the file you're importing to Simple Cohort. Please let me know if you use it, and if you have any questions!
Yeah, my 2013 MacBook Air is similarly still trucking along. I wish it used a more standard storage medium; upgrading the chip did not look particularly cheap or easy.
I assume the city is ethically barred from offering gifts of that type, and that the reporters are ethically barred from accepting any.
> Finally, Windows had probably the best toolkits to whip up a quick and dirty UI for anything you wanted to do

There was a TCL for Windows?

https://en.wikipedia.org/wiki/Tcl
People without kids get these questions repeatedly, and they’ve surely asked themselves the same questions. If the answer is no, they probably don’t especially relate to the premise of the questions in the first place. If they do relate and their answer is yes, it can be painful to have those regrets highlighted.

I’ll take your word on your intent. But so you might understand my reaction, it’s often the case that people ask these questions in full awareness of those possible answers—asking them as a form of social pressure to undermine the former option and/or to reinforce and exploit the latter.
You do not fine Home Depot if a suspension bridge fails because the builder decided to go there and buy the cheapest rivets to hold up their suspension bridge instead of sourcing components that meet the design specifications. You fine the bridge builder for using components unfit for purpose.

For that matter, even considering to use components that unfit for purpose is inconceivable in most professions. Only in software do people use systems with no specifications, no guarantees, and where even the component makers did not intend or design them to be load bearing.
Indeed. I remember getting into an argument with a salesperson who bet me an entire free car that I was wrong. IIRC it was something like the car MUST have DCT because it had paddle shifters, though they'd transitioned from DCT to a ZF8. They were wrong. Huge surprise, I never got the free car.
Use of HTTPS Resource Records
The book might be more aptly called 'advanced algorithms' as the prerequisites clearly indicate a need for a solid understanding of discrete mathematics, all fundamental data structures, and proficiency in basic algorithms related to searching, sorting, and graph theory.
Debugging looking for what though? It's interesting trying to think even what the "bug" could look like. I mean, it might be easy to measure arithmetics ability of the LLM. Sure. But if the policy the owner wants to enforce is "don't produce porn", that becomes hard to check in general, and harder to check against arbitrary input from the customer user.

People mention "source data exfiltration/leaking" and that's still another very different one.
> The inconvenient truth is that people say they want more, better security but they don't want to pay for it.

They are already paying for it, and not getting the security.
Making space-based human habitation profitable is the only way we will ever reach the scale of millions of people living & working in space. It's ludicrous to imagine that we would ever send more than a few explorers to space if each person's time there is unprofitable, meaning literally losing money.
Yeah I agree with this - it's much of my experience as a professional developer, too. I'm trying to navigate the organization, connect with other teams, understand what needs to get done.

The code I write feels like a side-effect of what I actually do.
No, the other comments that talk about possible architectural evolutions of LLMs are more in line with the intent of my question
Pandoc generally works just fine: https://pandoc.org/
Although I'm not very interested in the US politics, it looks to me that these 2 are politicians rather than platforms.
Could you find other trees where your propaganda seems more plausible in context, please.
I don't really know what "value" means in a post scarcity world. We're probably going to have to rethink it.

It made a lot of sense when we were all worried about the same things, e.g. not starving. In such a world, anything you could trade for food was objectively valuable because you could use it to fend off starvation--and so could everybody else.

But if efficiencies improve to a point where we can easily meet everybody's basic needs, then the question of whether progress towards a particular goal counts as value becomes less clear, especially if it's a controversial goal.

I imagine that whether we write the code or not will have more to do with how we feel about that goal and less to do with how many shiny pebbles we're given in exchange.
> the ability to ask followup questions and immediately get clarification on anything that is unclear.

Not only that, but it has the patience of a saint. It never makes you beg for a solution because it thinks there's an XY problem. It never says "RTFM" before posting an irrelevant part of the documentation because it only skimmed your post. It never says "Why would you use X in 2023? Everyone is using framework Y, I would never hire anyone using X."

The difference comes down to this: unlike a human, it doesn't have an ego or an unwarranted feeling of superiority because it learned an obscure technology.

It just gives you an answer. It might tell you why what you're doing is suboptimal, it might hallucinate an answer that looks real but isn't, but at least you don't have to deal with the the worst parts of asking for help online.
It would have to be from the PR budget /s

Then it's curious the PR gymnastics they would go through to explain it to their citizens how much they cared about a foreign crew getting their cameras replaced, while its tax paying citizens can't even get the city to investigate crimes committed against them.
How many requests per second are you talking about roughly? One major problem we face is that downstream services also have performance problems and have multi second response times. While waiting for the response, a whole rails worker is sitting idle, taking up hundreds of megabytes of memory for seconds.
You are hallucinating holes.

I don't even know exactly on a OS permission level what you mean by some of these, but at least forsome of these, I know for a fact you currently can't do by sideloading an app.
In which a column from a person with no social skills advises people with no social skills not to make friends at work, because they have no social skills and they'll fuck it up . . .

You meet people at work because it's work and they're people. If you can't set boundaries between your work role and your personal life, and negotiate the sometimes-complicated human interactions that are the boundaries between these things, that's a "you" problem, not an "us" problem.

No, your co-workers don't have to be your friends. Sometimes they shouldn't become your friends. Occasionally, though, in appropriate contexts, they can become your friends. Even if a social cripple who's a wannabe "influencer" wrote a column on the internet trying to rationalize why none of their co-workers ever wanted to be their friend.