skysight-inc/HackerNews huggingface dataset:
> Ah I mean if you're hell bent on not being impressed by ChatGPT you don't have to be.

This is such a disingenuous strawman. You've just responded to a long argument with a lazy faux dismissal based on personality and animosity.

The criticism are well laid out and sourced. It's about the hype and lies around it, not the tech itself. I appreciate the tech and dislike the lies and misunderstandings.

If you just dismiss me as "a hater" you're part of the lie.

> Pundits and critics have a vested interest in predicting the future the way their readers want, but your time machine is as good as mine - it only goes 1 second per second and we'll get to the future at the same time.

Except that's a lie. And when the insights of people who stop and think instead of just buying into claims unquestionably are proven right years down the line we hear the old "oh, hindsight is 20 20". That's not accurate. We can reflect on things when they happen. No need to wait.

> If your role doesn't involve things ChatGPT would be useful for (eg you're a blue collar carpenter), it doesn't seem very useful, but neither do computers or the Internet, really.

False dichotomy. If you think chatgpt is solving a problem by generating text, are you qualified to judge that text for accuracy, could you have produced that text yourself? Why is it that chatgpt beats you, typing speed? Thinking speed? What are the risks of overlooking things by virtue of allegedly being handed an answer.

Wizards can be useful but also dangerous. The point is to reflect about it and not dismiss anyone who doesn't just hype it up.

> Or do you want to at least be aware of incoming trends.

Your whole argument seems aimed at some luddite strawman when in reality it's people who love tech, love new things, appreciate Chatgpt and others forms of ML, but see the BS flying around and want to stay intentional and have conversations grounded in reality.

> Don't expect them to speak up about it either, they're too busy using it to write emails and make plans to be bothered to convince the haters.

Another empty dismissal. People are using it so any related criticism is "haters". Implicitly your whole comment just wants to, instead of engage in the conversation, derail it and dismiss it.

Reminder, when there's hype, everyone and their mother wants to "cash in on the hype". It doesn't matter if they need to sell you a bridge. Going into specific and reasoned arguments is more productive, specially in a place like HN that should foster discussion instead of squashing it like parent poster is doing.
My Dad was affected by this and I am now pissed after performing [Parental Support]. I had told him not to buy HP but he still thinks it is the 80s. Well, thankfully Brother Printers is now in my country and so I can smash that HP with a large hammer and call it a day.
How Nepal Regenerated Its Forests
I disagree
> Have multiple of them for redundancy.

Yes so when I have 40 such tokens then I must worry about which ones to bring when for which devices, it's a usability nightmare.

I contend you should rarely if ever use one, they are (often) more trouble than they are worth. Or, you are reusing them everywhere, and so you violate the principle of re-use. Yeah, you can daisy chain things and the like, but now you are just making your life needlessly complicated and error prone.
Time to bring out the popcorn and see how it implodes.
I always found HN users hating new trends in the user interface design industry, like white space and transitions.

Is that anything to do with our users' age group?
I'd rephrase "chit chat at the water cooler" as "not being alone in a room for most of the day". Others are happy to spend time away from their home, which might be unsuitable for productive work.

I am quite fine with this arrangement, but it's a bit more charitable to those who aren't.
I just try to use the same format. So that I can store them in a nice way.
The anti-hype around GPT is quite a thing. It got out of a gate at a sprint, determined to get ahead of the hype.

So sure... if you want to point to hype statements that are silly, you'll find them. If you want to find monopolies investing I gpt to preserve their monopolies, you'll find them. If you want analogies to stuff that has empty hype in the past, you'll find those analogies.

I'm old enough to remember the hype, and anti-hype around the early web... The information superhighway. Anti-hype had all the same arguments there.

It really doesn't matter what we think about chatgpt's answers to philosophical questions, or it's ability to write poetry. Those are just novelties and parlour games.

What matters is that autocomplete is useful, and that means it's going to be used. Well use it for writing emails. Well use it to code. Well use it to summarize, tabulate... It'll bring video game characters to life. Some of these will be significant. Others will be profitable. Others will be harmful.

What autocomplete isn't, is a dud. The thing works.
Hate to break it to you, but those two are trade-offs too.

Not that they aren't worth learning, of course!
It’s not bug, it’s feature. You can hold SHIFT while transitioning and it makes slower.

Try CTRL + SHIFT + Left arrow (or right arrow) right now, if you use spaces
Hmm, I haven't heard of any open source projects re-implementing Google's client library, and I imagine it would be difficult to keep parity with a closed-source project.

Most open source efforts have consolidated around MapLibre GL https://maplibre.org which is a maintained fork of Mapbox GL before their switch to a source-available license.
For some reason people really can’t step over that 2 lines of boilerplate for Hello World, but here you are, it is being worked on: https://openjdk.org/jeps/8302326
How I'm setting up SSH access currently is to use two factor authentication where one of the factors is a device identifier, i.e. SSH key stored in TPM or with this on the Secure Enclave on a Mac, allowing only access from trusted devices. The second is a user identifier, stored in a yubikey.

In sshd_config, you can enable multifactor authentication with a comma separated list after AuthenticationMethods, for example publickey, publickey to require two keys.

https://manpages.debian.org/bullseye/openssh-server/sshd_con...
Right, but consider its 'evaluation' during training: During training it is constantly seeing stuff where the context is out of the window and the correct completion confidently answers, so the model is trained to do the same.

I think this is very tricky to solve conceptually (since the human authors don't have the same input event horizon problem), but it could be (and has been) papered over by making the context bigger.
Like said somewhere on the internet, we don't need AI to create art, we need AI to do the dishes and free our time to create art.
I love companies like that. If you are a bit proactive, you can snatch the easiest parts, and get rewarded just for sending reports.
BluRay has two security systems. One is based on key revocation (AACS) and one is based on embedding programs written by companies contracted by the movie studios which do dynamic detection of rippers. AACS failed almost immediately because indeed, keys leaked faster than they could be revoked. BD+ proved much harder, at least in the early years. But it was only ever designed to last about 10 years according even to the sales pitch of the designers and it's older than that now, so I wouldn't expect it to be all that effective anymore especially since Intel pulled SGX from their client chips.
> boost

No, thanks.
If you haven't spent more than an hour inveestigating ChaGPT or Bing Chat then you really should. They are astonishing. I would say that in certain ways they are smarter than me. In a generation or two, with a motivational layer on top, they will be smarter than me. Do not scoff until you have honest to god sat down and interrogated these things.
Gell-Mann Amnesia Effect but at scale. I find this all the time when reading the NYT, or Washington Post, or whatever, about something I'm intimately familiar with. ChatGPT just does this as a sort of carnival trick, and people seem to think it's funny for some reason.

https://en.wikipedia.org/wiki/Michael_Crichton#GellMannAmnes...

>Briefly stated, the Gell-Mann Amnesia effect is as follows. You open the newspaper to an article on some subject you know well. In Murray's case, physics. In mine, show business. You read the article and see the journalist has absolutely no understanding of either the facts or the issues. Often, the article is so wrong it actually presents the story backward—reversing cause and effect. I call these the "wet streets cause rain" stories. Paper's full of them.

>In any case, you read with exasperation or amusement the multiple errors in a story, and then turn the page to national or international affairs, and read as if the rest of the newspaper was somehow more accurate about Palestine than the baloney you just read. You turn the page, and forget what you know.
Have been in a similar position. I simply pushed back. Did what I reasonably could and well. It wasn't good enough for the managers so they demoted me and hired 3 "yes-men" who as a group accomplished less than I did whilst pushing back. It didn't end well. But no managers were fired.

While there are less-competent yes-men out there, the managers will continue to hire those who don't tell them to ...
This is probably a good case for a compatibility mode where these APIs are enabled.
Which is why halts/bank holidays can be an extremely effective way of stemming a panic.
when discussing about optimality, it is worth specifying what are you optimising for.

time optimal landing lends techniques from bang-bang control (e.g. starting with v=0, max thrust towards the target, before flipping around half way and max thrust away from target)

fuel optimal landing (incuding RCS) technique would depend on the available time to turn retrograde (pointy end pointing away from direction of movement). if the duration before the decelerating burn is T1 (so t1 = t0+T1), the smallest possible rcs impulse would be applied so that at t1-T_st the lander is pointing retrograde (retrograde at t1), with T_st being the time needed to cancel the initial rcs impulse. For the deceleration of the lander, fuel optimal landing includes a single burn, constantly retrograde, so that at t_end the lander altitude is 0, and both the vertical and horizontal velocity components are 0.

The time t1 to start that burn depends on the maximum thrust available, the rate of mass change when firing the rocket (not modelled in the game), the initial velocity etc.

in this simple case, model predictive control is not needed, and an LQR (linear quadratic regulator) is sufficient to achieve optimality

source: rocket scientist with control theory background. I remember this example (a bit more realistically modelled) being a project during my studies
“It’s just auto complete” is probably one of the worst takes out there on AI.

It’s also clear the author doesn’t actually know how LLMs work and is parroting information, e.g. “…it tries to get you to finish your sentence with the statistically median thing that everyone would type next, on average.” is just not correct, and, frankly, suggests the author hasn’t even observed what autocomplete does.

I completely respect the view that there’s more to being human than pattern matching text, but I also am open to the possibility consciousness may not actually be that much more than stochastic parrots.
UK before Tatcher was a depressed society with stagflation, rising crimes, crumbling infrastructure; that couldn't even clean its own streets. It was a society completely hamstrung by old unions that would happily collapse the economy in face of global competition, as long as their jobs gave the same pay - nominally.

Thatcher won two landslide re-elections for a reason.
Fatalities/VMT isn't the right stat to use to evaluate safety because injuries and deaths cluster around conflict points(intersections, crossovers to oncoming lane, offramp exits, etc.). It can be simultaneously true that most of the miles driven are safe, but also that there are danger zones which some road users are repeatedly subjected to. And when we talk about AVs being safe, we aren't saying "they'll be safer at avoiding a crash when racing", a situation where one might credibly consider using VMT. It's relatively mundane situations of making a clean left turn, stopping at stop signs, decelerating when exiting the freeway, and so forth. Those are things you encounter with higher frequency when you are making relatively shorter trips.
That would probably be 95% of KPIs across all big corporations anywhere.

It takes incredible and very rare leadership to be able to admit failures downstream.
I think it comes down to incentives.

Traditionally the economic benefit of children was that they would basically work for you, including supporting you into old age. This made the enormous investment a lot more worthwhile.

Also the childcare obligations were much less (a 12 year old could be pretty much self sufficient by working).

With pensions, no child labour, etc, the trade-off is not like that any more in economic terms. Having children is basically a total economic loss and a rational person would tend to avoid it. It's seen as a luxury nowadays, something most can't afford.
No, it's the children that are wrong.
Even if your direct manager wants to help, he may be overruled by his manager or the upper management. Your direct manager frequently doesn't have any ability to do much except pass information up.
I'm not sure if we used the same Hangouts, but the one I used couldn't always reliably deliver messages.
Hardware acceleration in robotics news. How the EU chips act could build "Innovation capacity" in Europe, How Efinix is conquering the hurdle of hardware acceleration for devices at the edge, Figure promises first general-purpose humanoid robot, Intel pushes out hybrid CPU-GPU compute beyond 2025
He can't have done in any serious way. All these negative opinions just show you how much people make stuff up out of thin air, rather than bothering to spend time with the actual real world. It's all emotion driven and it drives me wild with rage that people are so unprincipled.
Thanks! Missed that part somehow.
I agree. The only usecase i see for a transition animation is the backsliding effect on Ios when you slide back a page. Forward navigating should imho never have an animation. It must show the page in less than 50ms.
> It doesn't really do anything especially well and it's not clear when you should trust it to be correct.

You just described most humans. Imagine someone gave you access to a free digital workforce that you can only interact with through chat; it’s text in, text out, they only do what you say, and although you’re conversing with middle-tier experts they don’t have internet access or even a paper or pen handy so you have to take any facts or hard numbers they reference with a grain of salt. What is the use case for that?

What I’m getting at here is that ChatGPT doesn’t have a single clear use case. OpenAI is positioning themselves to be vendors of foundational AGI and it will be up to the market to create specialized fine-tuned models with higher levels of agency and built-in accountability.
“Haha, C++ bad meme.”
EME is just an API to access the native code.

Levels are primarily about various kinds of hardware protection, I think. The lowest level just uses ordinary software obfuscation in the widevine library that this article is about, and regular updates to change the media keys.

Higher levels integrate more with special hardware "APIs" of various kinds. I think you generally cannot play the highest levels on PC hardware at all, it's more meant for Apple TVs and other such devices. Other levels may require things like the Windows protected media path, which lets you upload encrypted video data to the GPU and then it's up to the GPU firmware to decrypt it. So then it becomes a question of understanding how the GPU is decrypting the data and defeating that.
C-style for loops can almost always be replaced with iterators in a more concise manner. No need for the explicit termination check or the explicit advancement expression, that's already handled by the iterator.
and that's how you and I will be bailed-in my friend.
Explain the iPhone SE, Watch SE, iPad (SE in spirit)?
Trustless, programmable money. It's useful. The problem centers generally around how useful "trustless" really is. Developed nations usually already have a trusted currency and underdeveloped nations have so many extant corruption issues that trustless money isn't necessarily spendable. The goldilocks zone so far for crypto has been remittances to developing countries, a small market indeed. Crypto's narrow application range is what makes it, so far at least, more hype than bite.

Sure ChatGPT and other LLMs can do all sorts of stuff. It can give you inspiration, help you search through a corpus that hasn't been scraped properly, or just fill in the blanks for laborious writing that was generally a waste of your time. It's lots of fun to play around with. But is that worth enough to offset the R&D, training, compute, and profit costs associated? Are people willing to pay for LLMs at a scale that makes sense? For companies that really need this kind of writing done, is it that much cheaper than hiring an English literature major intern? Can the sorts of "hallucinations" an LLM outputs be tolerated in actual applications?

The two fields suffer from a similar problem. Sure they're breakthroughs, but are they enough to derive broad utility? Regardless I disagree with the premise of Doctorow's post. I think the problem is subtle and not deserving of the silly snark that his post contains as it tried to pick apart banal definitions.
English is not my mother language, Im now level up my English skill with ChatGPT
1. Promotions are not public (by which I mean accessible by anyone at the company).

2. OKRs are not automatically public (some teams choose to publish theirs; many don't).
Made a simple python script: https://gist.github.com/Loeffeldude/41f3a71570f4bad1aff2749b...

Works suprisingly well!

pip install openai && export OPENAI_API_KEY=yourkey

python3 chatgpt-terminal.py "make a dir test"
fairly, lol
The itch.io link is a good place for a first look
https://openhv.itch.io/openhv
I'm not saying it's wrong but usually thinking is the most important part for programming and relevant to long term success.

Typing is pretty easy and not the bottleneck of software development. That's why readable variables are better than abbreviations.

Judicious use of abstractions helps with that as well.

I think where things like copilot might shine is being a JIT educator of coding practices but they should be part of your thinking process and not replace it.

The risk with over relying on crutches is substituting the knowledge and intentionality of development.

There's a balance, and one that needs to be sought.

I'm not sceptical about the power, but I am about the claims of people who want to cash in or simply say "it's awesome" and allow no discussion. That means that you get to detail projects trying to use GPT models as some sort of authority that doesnt need to justify why it's better than some alternative. If you argue against it you're "not seeing the opportunity".

It's not a new battle, fighting hype and separating the actual capabilities of a tech and the lies or misconceptions. It's hard to get people to see short Vs long term.
Thankfully I don’t suffer it myself, but due to the way that transitions work in regards with FPS and monitor blanking, they are the same trigger of migraines that fluorescent lights are.
Of all the new languages I find zig most interesting because it claims to not need build systems (not sure if I have that right?), it focuses on c library compatibility, and most importantly it aims to be a small language.

I’d like to love rust but it’s so big I just don’t have time to learn it all. It’s a pity rust is so damn big. Anyhow zig looks like a great alternative even if it lacks the safety of rust.
As the developer of this system, I concur with this; Protomaps is focused on map tiles, and can be used with other solutions such as http://geocode.earth for search.

A small detail: I don't believe this is the absolute cheapest way to deliver map tiles. Renting an unmetered bandwidth server is always going to be the cheapest way to host content, but unmanaged servers don't give you SSL termination, infinite storage, or an edge cache.

Protomaps is designed as the right compromise between self-hosted operational+development costs and SaaS-like delivery.
Electricity is fungible, it would make no sense to transfer the electrons being generated in Morocco to the UK via the mainland.

Instead you'd have Spain use them, then Spain might transfer excess power from its north to France, which in turn would transfer more power to the UK.

That it isn't being done like that is interesting in itself. I wonder what the mix of technical and political reasons is.

To a sibling comment saying "Brexit", that's clearly not the case, as a graph in this article shows:

https://www.powerengineeringint.com/industry-insights/britai...
From a (great) podcast:

https://review.firstround.com/podcast/episode-11

Today’s episode is with David Lieb, the Director of Google Photos. Previously, he was the founder/CEO of Bump, an app that allowed users to swap contact information by physically bumping phones. Bump was acquired by Google in 2013, and formed the basis for the design of Google Photos, which launched in 2015 and passed the 1 billion users mark in 2019.
repo is gone ... wonder if github took it offline or did the OP delete the repo ?
The stochastic parrot claim seems to crash people’s brains because they assume this is all about words. The fact that these models very clearly learn not just patterns of words, but patterns of ideas, and ideas about ideas, seems a very profound result. Personally I do remain unimpressed by how the current models ‘think’ on top of this knowledge, but I’d have to work very hard to be as cynical as to imply this was all a scam, or somehow not progress (whatever you think of the destination).
if you could trade your old car for one of those: definetly.

if you have to pay any amount comparable to a low-end car: maybe.

any more than that and the answer becomes: highly unlikely.

but whether or not this is a good idea or efficient under any definition of the word? idk. probably a bad idea, too consumer oriented for a problem that could be better tackled on a larger scale
That doesn't work anymore. At least in Ventura.