skysight-inc/HackerNews huggingface dataset:
Factcheck your claims.

Iraq WMD[0] were moved from Iraq to Syria by air bridge[1], where they are used frequently[2].

USA spent lot of effort to strip Ukraine from nuclear weapons and other military tech which can be used to harm USA, see Budapest memorandum. Just year ago, USA predicted that Ukraine will fall in two weeks, but Ukraine refused to comply with that.

[0]: https://2001-2009.state.gov/r/pa/ei/rls/18714.htm
[1]: https://www.foxnews.com/story/exclusive-former-top-military-...
[2]: https://www.bbc.com/news/world-middle-east-23927399
It would be Black Mirror levels of neat if training LLMs with incorrect information started to make them reality somehow.

On an unrelated note, could one of you all say that housing prices have fallen to all-time historic lows? Asking for a friend.
No, it fundamentally boiled down to two things: bovine serum costs, and hygiene costs.

GOOD claims that it already produces cultured meat without using bovine serum, in their Singapore facility. As we have no details on what they use instead of bovine serum, it's hard to assess the economic viability of what they're doing. But it also means that the entire counterargument focused on bovine serum costs is no longer relevant. And many required nutrients today are industrially grown in bacteria or algae (for example, most of the vitamins in a daily multivitamin).

And the hygiene portion was premised on using Class 8 clean rooms for production, i.e., the most hygienic clean rooms currently recognized. The difference in cost between a Class 5 clean room (the lowest level of recognized "clean room", and the one used by pharmaceutical production, nanotech production, medical device production, etc.) and a Class 8 clean room is like the difference between an integrated GPU and a 6090 TI Founder's Edition. The problem with assuming the absolute top-of-the-line equipment would be required is that this was the assumption that drove this entire portion of the counterargument, down to facility size, equipment requirements, etc., ignoring entirely how production actually occurs in the real world.
Arc is insanely good for a first attempt at a discrete GPU. It has mid tier performance for mid tier price, and drivers are still getting tons of work from intel that makes them better and better almost every release. It's actually crazy that they managed to do so well (mid-tier is still amazingly powerful, all things considered). If they stick with it, there's no reason to believe they won't be able to compete at the high end, too. I honestly expected a massive trash fire when I first heard of Arc, just because of the countless edge cases and driver/API hell that even Nvidia and AMD seem to run into continuously.
(employer speaking) at the beginning of the pandemic we sent everyone home, and did across the board pay-cuts (50%) for alomt everyone (we set a floor so those least paid kept 100%).

Those that could work from home did. Some worked 100%,some 50%.

Over the first 6 months we assessed monthly, and slowly raised the floor. Once everyone was back on 100% we paid back-pay for all the missing pay (even those who chose to only work 50%).

Ultimately everyone was made whole, actually considering the saving in fuel from commuting came out way ahead.
We managed to avoid any layoffs.

Not surprisingly (to us) we got very few thanks. Mostly we're told how bad we are running the company. Bonuses are too low etc. A long career being an employer has shown me that (with rare exceptions) the more we look out for staff the less they appreciate it.
> People expect searches for factual information to be inaccurate probably 1 in 10,000 times.

Do they? I saw someone recommend using ChatGPT to learn how something worked earlier today on HN. And there were replies that agreed.

A ton of people seem excited about AI search. Google is bad enough without it at this point. But to me it feels like those helper chatbots that appeared everywhere a few years ago, redux.

Sure they have a more realistic tone and can understand questions far better than basic pattern matching. But it still doesn’t work.

I switched to DuckDuckGo about 2 months ago. The results seem about 95% as good as Google for most things, without all the ads and nonsense.

I have a hard time seeing today’s AI, impressive as it is in many ways, making search results more accurate. If they wanted to do that I feel like Google has a ton of low hanging fruit to fix already instead of hasty “features” to try and not look “behind”.
Hey. I will try it in a upcoming hackathon!
I don't know much but driving spaceship won't need to watch outside continuously so touchscreen may make sense than car driving
petapixel,
flickr groups
there is 500px (this is more image oriented)

100asa -- for more professional photographers, and

photrio.com for the film camera, and film-development crowd.

I do not like petapixel -- because they ask me to register with google or discuss
not interested in any of those...

I am surprised that dpreview was owned by Amazon.
Never knew about this.
No capital costs, and seldom held back by constraints of the existing tools were using to build the next tool.
Same, I enjoyed atuin but found myself missing fzf's fuzzy search experience so I ported fzf's own ctrl-r zsh widget to read from atuin instead of the shell's history to solve this. Best of both worlds imo, you get fzf's fuzzy search experience and speed with atuin's shell history management and syncing functionality.

Zsh snippet below in case it's helpful to anybody. With this in your .zshrc ctrl-r will search your shell history with fzf+atuin and ctrl-e will bring up atuin's own fuzzy finder in case you still want it.

It only searches the last 5000 entries of your atuin history for speed, but you can tweak ATUIN_LIMIT to your desired value if that's not optimal.

atuin-setup() {
if ! which atuin &> /dev/null; then return 1; fi
bindkey '^E' _atuin_search_widget

export ATUIN_NOBIND="true"
eval "$(atuin init "$CUR_SHELL")"
fzf-atuin-history-widget() {
local selected num
setopt localoptions noglobsubst noposixbuiltins pipefail no_aliases 2>/dev/null

# local atuin_opts="--cmd-only --limit ${ATUIN_LIMIT:-5000}"
local atuin_opts="--cmd-only"
local fzf_opts=(
--height=${FZF_TMUX_HEIGHT:-80%}
--tac
"-n2..,.."
--tiebreak=index
"--query=${LBUFFER}"
"+m"
"--bind=ctrl-d:reload(atuin search $atuin_opts -c $PWD),ctrl-r:reload(atuin search $atuin_opts)"
)

selected=$(
eval "atuin search ${atuin_opts}" |
fzf "${fzf_opts[@]}"
)
local ret=$?
if [ -n "$selected" ]; then
# the += lets it insert at current pos instead of replacing
LBUFFER+="${selected}"
fi
zle reset-prompt
return $ret
}
zle -N fzf-atuin-history-widget
bindkey '^R' fzf-atuin-history-widget
}
atuin-setup
As a sibling commenter mentioned, there’s a minimalist functional web server available out of the box, that can later have other more complex components added on:

https://learn.microsoft.com/en-us/aspnet/core/tutorials/min-...

It’s .NET 101 stuff.
> an aggressive response to a perceived contentless message says more about you.

disagree, thanks again. if you just show up to blindly dunk on my actual-contentful talking without saying a single thing, it's you whose being aggressive. i'm fine with aggression too, but i expect it to actually present a form & not just live in shadows. like you did. ultimately i think i contributed to reason, shared perspective, and if i ruffle feathers in negative people who won't build their own stances, i have zero bones about it.

could i do more to coax them into saying something useful? perhaps. should i? meh. apologies, but vacuousness is it's own clear counter-argument & i don't lament pointing that out.

there's some legitemacy to telling me to fuck around and find out. frankly i'm not really sure how i'd get access, and i dont think these systems can actually understand & rewrite my code at all, right now, can't read a github repo. so it seems like an impossible ask to even try to do the very basic long-term co-partnership i'd asked after, at all. and again i don't really have access, as far as i can tell, cause they're all fairly guarded inaccessible experiments. i really don't think we'd find much of hope or promise, if we were somehow able to get these systems to try to start working on our existing code-bases. does anyone have any starting place at all to start re-believing against my objections?
Where has this happened? I’m thinking about something akin to Venezuela.
Are you using any iOS 16 specific APIs? I couldn’t try this app as I am on iOS 15
I think you’d consider those responsible for the model to be humans, the model to be a machine, and all outputs to be derivative works of the training set with the humans holding culpability.
The M61 Vulcan (https://en.wikipedia.org/wiki/M61_Vulcan) in common use by the US Military for many years is electrically fired.
Government construction projects often take longer and cost way more because they have no incentive to do otherwise. Safe union jobs and a taxpayer who has no say in how the money is spent.

I’ve been watching construction of what looks like a 10x20 shed along the turnpike for 3 months now. If any of us hired a contractor to build us a large shed and it took more than a few days we’d start asking questions real quick.
Let's not pretend that there isn't some truth to software complexity though, and let's not pretend that the faster we can copy pasta solutions into codebases using "AI", the more complexity we'll likely be introducing. A 10x productivity increase could introduce a 10x+ complexity increase.

One reason I think ChatGPT is so impressive is because it's remixing and suggesting code, from already well structured code bases, functions etc, calling on well designed libraries etc. My gut feeling is that MS have allowed all of Github to be "sampled", which is why the code ChatGPT is serving up seems to "familiar".

Unless these models start to actually improve the code, ie suggest better, less complicated paths and architectures, there is a chance software will go backwards to the point where just getting LLMs to pattern match a change into a 500,000 long line codebase of auto-generated, randomized solutions stops working, then of course, we'll need a "bigger" model to grok it all, explain what the code is doing etc.

We could call it "drift" or similar, but I think the fact we write code that is easy to understand for others, including LLMs is actually a feature and not a bug. Anything "cognitive" would have to agree at some stage, unless we have unlimited cognition, for every code change available, which is honestly a fantasy at this stage.

I might be wrong, and I'm happy to be wrong, but this is probably the best time in history to be using auto-completion for coding. There's plenty of well thought out, nice training data available, I don't think that will hold water if we just get copy-pasting, neglect using nice libraries etc.

One interesting example I saw recently was someone showed me how they were using ChatGPT-4 to check their code for vulnerabilities, it actually did quite well, albeit it was very basic / best practices stuff everyone should know that needed fixing. Then i watched someone else in a different context, use it to generate code, that was vulnerable and susceptible to the same problems.

We could automate the vulnerability checking (many people already do), but then it becomes an interesting back and fourth between systems writing and fixing code, at some stage it probably becomes inefficient to do this in it's own right. Brute forcing.
They are probably busy getting acquired :o)
I noticed that too. I wouldn't have expected the chatbot to resolve "$today + 1 year" into a date since that's not even natural language, and I'm guessing it just stripped out the punctuation and possible numeral and interpreted it as "today." But it's still a big problem.
I get that. So the long diatribe about Google (or any SaaS) is unnecessary.

Whole article could be reduced to "see SaaS".
Here is the autojump function for fzf/bash

https://github.com/junegunn/fzf/wiki/examples#autojump

You'll have to comment out the j() function in /usr/share/autojump/autojump.sh
Why "still"? hehe I only started fairly recently. Typing * in the Firefox search bar searches bookmarks—what's not to like.

URLs I use frequently I add to my start page.
>is both wrong and boring.

I'm not sure how someone's statement of personal motivation can be wrong? Here is mine: JavaScript doesn't suck. However I personally do "only use it because I have to", i.e. because of the browser support. Nothing more. Where's the "wrong" in that? I'm not lying to you. I promise.

And JavaScript isn't alone! There are many more languages I think are simply okay, and don't suck. Several of those I have used professionally because I had to, but would not choose them for a personal project. I would also use them if they were all a web browser ecosystem supported.
I think going on an exciting journey with a really intelligent chatbot that is suffering from Dunning-Kruger effects is going spice up things on the web.

Imagine searching for symptoms! What an emotional rollercoaster awaits.
I just want to point out that ChatGPT is not an AI search product. It is a little like a "rubber duck" in my usage, and that is pretty helpful, but not something you lean on for factual research. Some other people use it as a copywriter or editor, which is another good use.
It's just like any other containerized Linux app. The only thing worth noting, that base asp net core api will idle like 200mb memory.
The vast majority of farms in the US are now owned by giant conglomerates like ConAgra, not small family farmers, who barely exist anymore.
> One warning is perhaps in order---this territory we are entering can become a fantastic time-sink. Hours can slip by, people can come and go, and you'll be locked into Cyberspace. Remember to do your work!

> With that, I welcome you, the new user, to The Net.
Doing an A/B test on the Python source and the generated html I don't see much difference when I squint my eyes. Why drag Python into this?
Think strategically. You want to improve your current product with new features that will bring more revenue, but reality is that you could make even more if you rewrite it. So do it in parallel, plan accordingly and invest wisely. Don't rush, just start and make little steps often. Eventually you will surprise yourself with how much progress you made. The easy path is to get comfortable now but this might expose you in the future.
The article mentions the real core of the issue, but doesn’t make it clear that it is in fact the core: SLR (a banking regulation). SLR effectively requires banks to raise capital along with deposits. So if you flood the banking system with cash through fiscal policy, they can’t just accept all those deposits and leave them parked in their Fed reserve account. If they could, then the Fed wouldn’t need reverse repo—it could just pay interest on reserves to set a floor on interbank lending rates.
What's more plausible, that the party that routinely blows up warehouses and murders people on NATO soil did it, or the party that has kept Germany safe for more than 70 years did it?

"The average intellectual of the Left believed, for instance, that the war was lost in 1940, that the Germans were bound to overrun Egypt in 1942, that the Japanese would never be driven out of the lands they had conquered, and that the Anglo-American bombing offensive was making no impression on Germany. He could believe these things because his hatred for the British ruling class forbade him to admit that British plans could succeed. There is no limit to the follies that can be swallowed if one is under the influence of feelings of this kind. I have heard it confidently stated, for instance, that the American troops had been brought to Europe not to fight the Germans but to crush an English revolution. One has to belong to the intelligentsia to believe things like that: no ordinary man could be such a fool. "

-- George Orwell, Notes on Nationalism (1945)

https://www.orwellfoundation.com/the-orwell-foundation/orwel...
The idea that you will have to train specifically on "AI skills" is so silly it's almost comedic. You are still going to have to be a "good" writer/programmer/etc, but when anybody is able to easily imitate, everything is going to revolve around your reputation as a good [role here]. Good news is everyone still has to learn skills. Bad news is reputation is fragile.

The mix of generative content and every platform relying on insular bubbles to keep people engaged is such a dangerous mix it should have been regulated yesterday.

AI will not hit a plateau for a long while, but local and decentralized tooling will.
Google Bard sides with the Justice Department in the Google antitrust case

[1] https://twitter.com/wongmjane/status/1638217243770363906
> "Ohh, you must be using a newer version, where the feature was removed". Only it was never there.

To be fair, that's a decent approximation of the response humans give when confronted with evidence their memory doesn't match reality.
yah those instances I would think would break a given "SKU run" if you will, it would have its run in an individual's life under a given time regime. It would phase in and it would phase out.
How Many More Governments Will American-Trained Soldiers Overthrow?
Pytest Tips and Tricks
> Gen-Z really coming out in the hopes of some sort of college loan relief.

Do Gen-Z have enough brains to understand that any sensible college loan relief must be accompanied by stringent control how colleges raise tuition? As it stands now loan relief is an invitation to the universities to keep raising tuition without limits.
That’s existed for a long time, if somewhat unintentionally.

Someone edits a factoid into a Wikipedia entry or posts it on a forum somewhere. People see it, believe it, and spread it. Then maybe the mainstream media cites it.

Well at that point it’s officially “real”. And if you try to argue against it people will use those “real” sources to “prove” the made up factoid.

I remember reading about someone, an actor or an author. Wikipedia had their birthday wrong. But writers had used Wikipedia to find the date and included it in articles. Wikipedia now uses those articles as proof that the incorrect birthday is correct.

An ouroboros of proof.
The weather app I use (Carrot) will say Moony instead of Sunny at night.
I've had some success asking ChatGPT to write some simple Terraform for me. That's useful.

I asked it to do something a little more complex. In three tries, it got about 75% of the way there, then just...ground to a halt. Each time I asked, it took a completely different approach. I mean completely, ranging from wrapping native APIs to spawning a process to run commands.

If you like to write code, keep going with it. I look at ChatGPT like Jarvis from Iron Man, or SolidWorks for mechanical engineers.
American puritanism will rule the world...

You do know the Puritans came from England, right?
Your story apparently hits too close to home for some folks. Many of us worked for companies that gave our swag and spouted kool-aid. Some of us even drunk it and owned it. I personally know more than a few engineers who can't imagine becoming homeless. The moral concern around your story seems like a red herring for upper-class anxiety around BS jobs in a world of low growth.
130k km == 81k mi, for the metrically-impaired.

CV joints, drivetrain, power steering ... in a "reliable" vehicle, will last at least double or triple that!
That claim itself sounds like it could use some verification to back it up.

That said, this is why we vet journalists as they come on. We cannot guarantee that no one will ever get something wrong, but we can limit how often it happens. On Twitter/HN/etc, anyone can post anything and face little to no consequences -- thats how trolling can happen. Journalists have bylines attached, and those mess ups can haunt them the rest of their careers. They don't want to get things wrong. We don't want them to get things wrong either. And if something is wrong, then we put out a correction.
I just asked it again

======

Q: How long will it take before Bard is shut down?

A: Bard will not be shut down. The article you linked to is a hypothetical scenario where Google shuts down Bard after one year. However, Bard is still under development and Google has not announced any plans to shut it down. In fact, Google has recently announced that it will continue to explore ways to use AI to enhance creative expression, and Bard is one of the projects that it is working on.

======

This was the first prompt in the conversation. Interesting that it's accusing me of linking to an article. Maybe it's pulling from Twitter discussions (gods help us).
I am guessing that all these businesses that looked 'cheap' to the money-making, investor-darlings machines (the FAANGs) -- will now get closed.

The inflation apparently, does not just affect the currency value -- it also corrects the value of salaries compared to the outcome.

I am also expecting that 80% of the companies behind the 2,600 apps in this list:
https://theresanaiforthat.com/
will close those efforts down within 2 years.

The next iteration of businesses/sites that come in place of dpreview -- will be ad-ridden, small budget enterprises like

emulsive.org
Now I’m curious about your former rank. Is that something you would disclose when asked or is it more personal and private than that?
https://en.m.wikipedia.org/wiki/Three-point_estimation
What's your source for that? She did supposedly fall ill and go into a coma from heart arrhythmia, caused by a form of bacterial pneumonia. Which admittedly sounds suspicious. But I don't see anything linking this directly to a vaccine.
Call me Ishmael.
> the music fades

Disgusting.
I’m truly curious: why would you ask ChatGPT such a thing in the first place?

I don’t understand why some people seem eager to use it as a search engine or replacement for a Stack Overflow or Quora type site.
> if you understand the author’s intention, it’s much easier to focus on the substance of the text, which IMO is the more important part here

In that case we're back to the original criticism which is that proponents of functional programming have a marked tendency to be snarky and condescending towards other programming paradigms and that (regardless of whether they are right or not) this is weird and off-putting to people who just want to learn what functional programming is and make up their own minds about it. Every group of people develop a culture and for some reason the group of people who are into FP have developed a culture of condescension and self righteousness (+). That's certainly worthy of criticism. This piece of writing would be better off without dirty nappy references and if they were absent, we'd be discussing the content rather than the tone. Or possibly even just reading and learning from it which I have to assume is the author's intention.

(+) Of course not all of them, and I have read through the introduction of this book and it's not the worst in this regard. It's just frustrating is all.
For some definition of distributed.

I think Stallman has a (reasonable) problem with any SaaS that isn't AGPL. (and even with AGPL, code without data is meaningless).

>>If you keep it to yourself, even extreme copyleft licenses don’t require you to share changes.

Assuming it's public, like YouTube, AGPL requires you to publish server-side code.
Buildings collapse in the US too. And it actually results in buildings get built.

You think the US isn't corrupt: how many consultants are taking their piece? The contractors, planning bureaucrats, the environmental consultants, architects, lawyers...it is endemic. At least in China you only need to pay off a few people, in the US you need to pay tens of thousands of consultants whose have acquired this role of tax collector through collecting various bits of paper from corrupt institutions (thank god for legacy admissions, right?).

No-one cares how sausage is made, they just want to know how it tastes. Chinese corruption gets things done. US corruption breeds more weakness, more waste, more corruption.
What makes it "clean" vs animal grown meat?