skysight-inc/HackerNews huggingface dataset:
> Over 1,000 researchers, technologists, and public figures have already signed the letter.

Embarrassing.

> > Should we let machines flood our information channels with propaganda and untruth?

Already been a problem for a century. The root problem is letting the
same people turn the volume to 11.

The problem is who owns the means of technology (and therefore AI).

> > Should we automate away all the jobs, including the fulfilling ones?

This is silly on its face. Automating jobs is a problem? More leisure is a
problem?

If you want to still do those former jobs (now hobbies) then you are free to. Just
like you can ride a horse, still.

Of course I’m being obtuse on purpose. The real root fear is about other
people (the people who own the means of technology) making most of us
obsolete and then most-of-us not being able to support ourselves. But
why can’t we support ourselves with AI, the thing that automated us
away…? because the technology has been hoarded by the owners of
technology.

So you can’t say that the root issue is about automation if you end up
starving (or else the robots could feed you)… clearly that’s not it.

What’s rich is that technologists and other professionals have been the
handmaidens of advanced alienation, automation, and (indirectly)
concentration of power and wealth. Politically uncritically. And when
they fear that all of this is cranked to 11 they are unable to formulate
a critique in political terms because they are political idiots.

> > Should we develop nonhuman minds

The embarrassing part. Preaching a religion under professional
pretenses.
They counted their friends and colleagues among their employers, actually. And the government’s GI Bill and veterans’ administration’s work placement and employee advocacy programs were among their most cherished programs.
I love the concept of this and other alternate ChatGPT UIs, but I hesitate to use them and pay for my calls when I could use chat.openai.com for free.

Any chance you could integrate the backend-api, and let me paste in my Bearer token from there?
Why not sharing these vulnerabilities while also maintaining some sort of privacy level? Requiring a phone number just to register is nonsense, eventually it will get compromised and you have a blackmail goldmine.. so just rename it to blackmail social media already.
It's not quite the same thing, because Bing was getting the data from a browser toolbar and watching the search terms used and where the user went afterwards.

A closer equivalent would be if someone had made a ShareSERP site and people posted their favorite search terms and the results Google gave and Bing crawled that and incorporated the search terms to links connections into their search graph.

The actual actions had maybe gone too far (personally I thought it was more funny than "copying"), the hypothetical would be pretty much what you'd expect to happen. Even google would probably crawl ShareSERP and inadvertently reinforce their own results (the same way OpenAI presumably gets more than a bit of their own results back at them in any new crawls of reddit, hn, etc even if they avoid sites like ShareGPT deliberately).
Subscribe to Consumer Reports. https://www.consumerreports.org/home-garden/lightbulbs/ There are lots of categories of products that have the same problem. This covers a bunch of them.
Want to have a decent quality of life at the end of your career? Better spend a large portion of your youth becoming an expert in finance and monetary policy, and hope you don't make a fatal mistake like buying long-term government debt right before inflation starts to run.
Agree. My nephew has made 800 Scratch projects, which is mind-blowing. I'd love to offer him a smooth path to other development. However:

- Python has graphics, but it's a very steep climb from the simple drag-and-drop of Scratch

- Javascript has easy UI elements, but he'd have to learn HTML and other things

Scratch is so different from "straight" programming, I'm not sure if it's worth his time to learn JS and then translate his Scratch knowledge to it.
>It is possible (and not very difficult) to design LED bulbs that will practically outlive their owners

It is also possible (and not very difficult) to design incandescent bulbs that will outlive their owners. In fact, the first mass produced light bulbs generally lasted 2,500+ hours. In the 1920s, the major bulb manufacturers formed the 'Pheobus Cartel' in Geneva and secretly colluded to limit the lifespan of bulbs to 1,000 hours to boost sales [1]. Another example of planned obsolescence harming consumers and the environment.

[1]https://interestingengineering.com/science/everlasting-light...
Pretty much but it makes the experience so much better. Like stable IP/DNS to al of your machines no matters how are those configured/accessed the Internet. Or “air drop” files between machines
Related:

https://en.wikipedia.org/wiki/Losos-class_submarine
OpenAI Terms of service forbid training competitor models via their ML outputs (LoRa alpaca laundering is probably not allowed for commercial use).
I can see the GitHub Copilot controversy being resolved in this way. If Microsoft, GitHub, and OpenAI successfully use the fair use defense for Copilot's appropriation of proprietary and incompatibly licensed code, then a free and open source alternative to Copilot can be trained on Copilot's outputs.

After all, the GitHub Copilot Product Specific Terms say:

> 2. Ownership of Suggestions and Your Code

> GitHub does not claim any ownership rights in Suggestions. You retain ownership of Your Code.

https://github.com/customer-terms/github-copilot-product-spe...
I realize that they're really just trying to sell their own services, but I still enjoyed the breakdown of options and costs - it's something I've actually wondered about in the past with all these startup banks.
I hope the moderation is aware.
I don't know HN very well. Is there a way to warn them of the problem?
My guess is not much at all. It was even independently reported that Twitter was growing under Elon Musk[0]. Also, "Mastodon's users have dropped significantly" according to a report by Wire[1].

Edit: It's quite telling that the various personal stories and anecdotes are receiving upvotes, while my comment, which contains links to concrete data, is being downvoted.

[0] https://www.nbcnews.com/tech/social-media/elon-musk-twitter-...

[1] https://www.wired.com/story/the-mastodon-bump-is-now-a-slump...
Easier in labour cost, though the paddle holes can be frustrating.
It’s solves real problems in a convenient and robust way. Like every product, it will not suit everyone.
Which is where UBI will need to come in, or a reallocate labor workers to where they can self sustain. Then it'll lead to some 86 Eighty-Six world, where humans live in holding pens and wars are fought with crazy robots all out of sight & no information comes out about it to the public
It's like a lot of things. Most people don't care, but some people who care, care A LOT.
Google could respond by seeding Bard output across the public internet, then if they can prove that GPT-5 is trained on this output, then they can sue back and AI development can stop altogether. Win for everybody!
Thanks for the feedback! I'll take another look at the pricing flow on mobile, I'm sure it could use another UX pass to be more clear.

It's one user per subscription, though you can have unlimited shares/viewers - what would you want it to be/say?
I have many profiles on any platform that I use a lot (at least 15 on HN and 15 on reddit).
This is also bad because the risk of AI "inbreeding" is real. I have seen invisible artifact amplification happen in a single generation training ESRGAN on itself.

Maybe it wont happen in a single LLM generation, but perhaps gen 3 or 5 will start having really weird speech patterns or hallucinations because of this.
Sorry can't say, but I doubt it's your dream job.

That team is expected to work any amount of hours, sleep in the office, and do whatever it takes to get the job done.
Although I agree with you, I can't help but imagine the disruption on an exponential scale vs the typical linear one that are often the center points of these examples. It took many years for the tractor to become more useful via improvements, more widespread, more easily produced and distributed which of course softened the landing for anybody that was going to be affected by it.

So really its not the scale of the disruption that could cause issues but the scale and the timeline combined. I think that this is where the original article failed to demonstrate that this is how those companies will secure their power position.
> I wish they did reviews

If the package is hosted on Github, the number of stars is a good indicator of quality.
> their UI is usable (if not great) on low-end hardware.

This is not at all my experience using Roku.
In this case, the specific question was "Joe Biden as having legitimately won the 2020 election".

Gerrymandering has no impact on presidential elections, so it does not count for this survey.
Same here. Considering going back to OpenSUSE which I used for quite a while and was generally happy with, but I'm looking at Alma Linux as $WORK uses a lot of RPM based linux.
AI and Data Privacy: Unraveling the Complex Relationship
Yes, moving cash around in fiat currency quickly is a solved problem.
I agree with learn git, but learning git doesn't make git's CLI good. I would love a CLI equivalent of magit that I could recommend to people.
It is an amenity. Why wouldn't businesses want to move into areas that had such... amenities.
> recording police abuse on smartphones,

So American police brutality is in the process of being solved right now?
Mine are hanging in thin air over my bathroom mirror. The GE Reveal bulbs say they're good for bathrooms, but I suspect they don't like the humidity. I have four at a time in the fixture and six of them have died in the last two years. Once this box is empty I'll get something else.
Bingo.

This Twitter saga is more like his PayPal days when he sent the company into a nosedive with bad management.
We did YC in S20 (fully remote during COVID) and, as a Silicon Valley outsider, it was absolutely, 100%, no-questions-asked worth it for the fundraising credibility alone.

After demo day, we were able to get in the room with dozens of top-tier investors, got multiple term sheets, and were able to pick the seed investors that were right for our business. This is a luxury none of my non-YC founder friends have had (being outside of Silicon Valley it was just such a stark, stark contrast in our fundraising experience to my friends'). Fundraising has always been a struggle and giant distraction for them.

The doors YC opened for us let us focus on building and have had an outsized impact on our trajectory. Re the 7%: I'd much rather have 93% of a giant pie over 100% of a small one.

Edit: I should caveat that YC and VC in general are built around finding & amplifying outliers. If you don't think you are an outlier founder and aren't trying to build an outlier company, our experience probably isn't relevant.
That case is a bit different because authoritarian regimes also don't want to lose control over their surveillance infrastructure. So I would expect increased use of AI to process data, but much less so of anything that involves the AI proactively running those systems.

The militaries, OTOH, are going to hook that shit into fully autonomous drones and such.
They mostly all were pretty awful.

Twenty years ago I remember a lot of PR about "full spectrum" incandescents and flourescents - no LEDs then! - there was a lot of talk at the time about Seasonal Affective Disorder.

I bought a few different options to check out, and looked at some photo prints under them. They blew the "basic" incandescents away, the photos popped and looked much more lively instead of yellow-tinted and dim.
Your personal experience is meaningless. Mexican drug cartels are literally producing faulty product today. Watch the interview that I linked above. Counterfeit prescription pills randomly contain fatal doses of fentanyl due to poor quality control.

There is no "culture" here. It's just some kid getting a pill from a friend at school. They're not going to check it for safety.
Where exactly does it do that? I looked a bit and could t find it, but likely I was just wrong
I love it how they don't want others to use their model output but they have no qualms about training their model on the copyrighted works of others? Isn't this a stunning level of hypocrisy?
Why “used to”? Did something go wrong? Is there something better now?
Or maybe american politicians have a long history of being buddy buddy with big money Capitalists, which most of SVB's clientele was, and had no qualms with throwing a few billions towards fixing a very local problem with the side benefit of helping their friends and another background benefit of reassuring whales to not pull out of other smaller banks.

Letting the whales die would have meant every other whale in every other bank would suddenly feel the need to inspect balance sheets or be whiny or just run. The entire reason SVB failed was poor management on their part, and poor risk hedging, but that's not a systemic problem. However, making every big cash holder suddenly worried they aren't as safe as they expected could be a mild systemic problem.
Certainly gravity applies to both economic and ecological physical artifacts, and many aspects of evolution do too, including its sources in heritability, variation and scarcity. How is it that you can know categorically that choices by economic replicators don't implicate evolution in the same ways as choices by ecological replicators?
We have robots wandering the streets delivering food.
If you have a Pixel 6, why would you run anything other than GrapheneOS?

Using a community-maintained port of an abandoned Canonical project would be nice to experiment with, but I doubt it would be anywhere near as usable, reliable, secure and future-proof as Graphene.
Heavy users are the ones who generate the content that gives the site value in the first place, though. Advertisers aren't there to sell products to the 1% of users who make most of the posts, they're there to sell to the 99% reading those posts. Making posting on twitter a bigger pain for the people who do most of the posting—and especially for celebrity and brand accounts that get tons of "engagement" they want/need to keep track of—is probably not a great move.
Show HN: I have developed a CLI tool using the functionality of Excel
Scratch now uses blockly under the surface and blockly itself is written in JS. If you wanted to extend things, JS seems like a more natural choice.
That's old fashioned, from a time when it meant that the heroin wasn't cut with a bunch of inactive stuff.

Nowadays someone ODing means your stuff is cut with fent, which isn't good marketing.
https://archive.is/cypyD

Good Smile, known for making Nendoroids and figma figures. Understandable they'd associate with a Japanese culture website.

I had no idea they did anything with Disney, so that was an odd thing to mention as if people would know them from that.
So, to verify, are you claiming that if someone added a similar clause to their source code and then GitHub went ahead and trained Copilot against it, that would be an issue?
Your comment doesn't make sense to me.

> Bard team was heavily relying on ShareGPT.

> He also claims that Google were about to do it, and then they stopped after his warnings.

So were they heavily relying or were they about to and then stopped? It's unclear from your comment. Could you link where you're getting this info from? The Information article is walled, unfortunately.
Like 0-4-5, 0-4-6-5, 0-4-5-4-0? It may be off by a step or two, it has been years since I last touched a fretboard.
I was about to order some of these when I realized their only shipping option to Canada is $70 CAD. Almost much doubles the price of a six-pack.
Also snaps.. I haven't used Ubuntu in years. I used Manjaro for a while and now Arch for a couple of years.
In this case, all animals were made whole.
Food History: Bacon Egg and Cheese [video]
At 20% of the market capturing even 100% of competitor profit wouldn't explain a 700% profit increase on capture alone. From that view additional profit is being generated because of the shortage event, not just being directed to companies that did things "right". Whether or not you think that's reasonable though is pretty much the definition of whether or not you think it's price gouging.
Not really - more like a managed wireguard config system, with fallback VPN for NAT punch though when needed (so it always works, no matter the network). Traffic is direct when it can be, but when it can't it still just works. Nothing that isn't possible manually, but is exponential in effort to maintain as you add systems, made super easy.

Plus nice features are appearing all the time, like file sharing, Funnel, magic DNS, etc,
> is it possible to easily exchange this large amount of money to regular currency?

Yes, but you have to go through a KYC process, and of course pay your taxes. (In the US)

It also depends on which country you're in. There are a lot of OTC desks if you know where to look.
I think canonical has taken control from users to its own benefit.

As one example, ubuntu-minimal is the minimal meta package, but it has a sneaky dependency on ubuntu-advantage-tools

and ubuntu-advantage-tools is sort of the master phone-home system.
Jack Ma Engineered Alibaba’s Breakup from Overseas
> The big problem for me is, as a consumer, how do I know that brand X is producing quality bulbs that'll last a long time? I'm very happy to pay more for that. How does one sift through marketing to get to actual quality?

There is simple heuristic - all LED bulbs are bad. They generally have insufficient heatsink and unreplaceable PSU immediately next to LEDs.

Better are LED tubes (with T12 interface, as a replacement for fluorescent tubes), they have much more area for cooling and for PSU, and sometimes have replaceable PSU. Similarly lighting units with integrated LEDs.
That's a weird thing to get frustrated about...that someone in a completely unrelated field didn't have the experience or courtesy to explain something using analogous terms to the thing you happen to be an expert on.
'Traction' is a pretty wide spectrum. Having some early traction with a small number of users who love your product is a sweet spot for YC imho, especially if you don't have connections or a 'pedigree' in the startup world. At that stage, VCs typically aren't interested unless you have something else going for you. YC helps you take the few sparks you've got smoldering in some twigs and turn it into a little fire that is potentially interesting to angel and seed investors without too much embellishment.
Such a great book that is becoming harder to find a decent copy of these days.

There's a great sketch that Kelly Johnson did of the A12. This was in September of 1958(!) and he had a rough top speed of Mach 3.0, with a possibility of Mach 3.2. And it existed on nothing but a sheet of paper and in his mind. No computers with advanced software and super computers with petaflops of power.

https://www.thesr71blackbird.com/History/CIA/a-12-blackbird-...
> You can go buy high CRI, high quality bulbs right now. Nothing is stopping you.

$200 Canadian (including shipping) for 6 bulbs is stopping me. $33 / bulb with no guarantee how long they will last.
> but there were definitely times when I distracted myself from proofs that wouldn’t work by learning how to make beautiful diagrams in latex + tikz.

I have never, ever, regretted coming to the table with eye candy like this. Were some of those investigations the most "profitable" thing to be working on at the time? Probably not, but a good, clean visualization buys you so much cred with both your audience and yourself.
The code it generates is pretty understandable
Circular reporting will be the only reporting!

https://en.wikipedia.org/wiki/Circular_reporting
The Correct Way to Measure Inference Time of Deep Neural Networks
The network latency is one of the more crucial aspects of deploying a deep network into a production environment. Most real-world applications require blazingly fast inference time, varying anywhere from a few milliseconds to one second. But the task of correctly and meaningfully measuring the inference time, or latency, of a neural network requires profound understanding. Even experienced programmers often make common mistakes that lead to inaccurate latency measurements. The impact of these mistakes has the potential to trigger bad decisions and unnecessary expenditures.

In tensorflow, what should be considered to measure neural network time?
>If it's real, it looks similar to iPadOS. Even with the less than successful endeavors of WinRT and Windows Phone (Phone was actually pretty cool), I feel Microsoft has never truly lost their desire to converge on a single desktop environment for desktop and mobile.

Honestly, that looks like GNOME with screen-wide dock thingy, which is hilarious.

>We see this at Apple too though - there's a lot of dismay over macOS converging with iOS and iPadOS in recent releases. What are the key reasons for it? More unified codebase? Just to make everything look the same?

Yeah, all the desktop makers lost their minds in pursuit of the most overrated metric of our age, 'efficiency', and all of them made terrible API design decisions as a result; SwiftUI is still starkly impoverished relative to AppKit, etc.
That's the kind of fanciful futuristic pseudo-risk that takes over the discussion from actually existing risks today.
Not disagreeing, but I guess I'd go further: having immediate access to all the information available on the internet has made many normal people ADHD. Smart phones took it a step further: all that access was now in your pocket. Add in social media and how many people aren't essentially ADHD now?
> Sometimes their advice is right, and sometimes it's wrong? That doesn't sound particularly valuable.

This is true of literally every source of advice you'll ever encounter.

It's not that the advice is right or wrong in an absolute sense, it's that how good the advice is depends on the context of it. So you always have to evaluate the advice according to your own circumstances. Some of it will be appropriate to you and some will not.
> The output from ChatGPT is not copyrightable by OpenAI.

I think the argument here is over the OpenAI Terms of Service, not copyright.
I for one welcome our new introner overlords.
How is it with high bandwidth application? E.g would it be okay to put my media server behind it? Currently tunneling it through a VPS so cloudflare doesn't get mad.
This does not match my experience with ChatGPT 4. Just now I added a new api endpoint complete with database changes with unit test. Everything took around 1 hour with back and forth communication. This is at the level of developer with 5 year experience.
Hilarious that the GNOME boys got bit by the bug first, and yet, neither they nor Microsoft will get it right
Did it grow into that with competitors that have money?

Mastodon will likely never get anyone but tech folks. And the era of tech folks being the trendsetter on the intarweb pipes is probably over.
The Microsoft Makecode editor allows you to switch between block and JS, which can help with this.

More embedded orientated but still an interesting idea.

https://makecode.microbit.org/#editor
Not really, as you have to also assume that enforcement faces no opposition at any point (not at acquisition of capabilities, not at deployment, not at re-supplying etc.) or that the population actually cannot fight back.

Also, typical tyrannical leadership doesn't work that way as it tends to get into power being supported by people that get a payoff from it. It would also need a new model of rise to tyranny, so to speak, to get truly singular and independent tyrants.