skysight-inc/HackerNews huggingface dataset:
I’m actually curious about specifics here for macOS aside from things like hidden scroll bars. Mainly because I find it to be one of the most discoverable. If you go into the ‘help’ menu in any application, you get a search box that searches all the menus of the application, if a shortcut exists for the action it’s listed alongside it. Admittedly Qt and KDE can do this too, but only for QT apps, while on macOS it’s every app that actually provides menus. Nearly every application handles files and actions the same way, and take the same common shortcuts for things like preferences. If I want to see shortcuts for system actions, they’re all listed in the keyboard control panel, and arbitrary shortcuts for arbitrary applications can be added there. I can’t name another system that feels as integrated and discoverable in that sense, except possibly KDE or gnome running ONLY apps developed specifically for that toolkit.

What system(s) do you find more discoverable, and how? I’m honestly curious because I love checking our new systems or window managers and it’s bugged me not to have some of this elsewhere for a while.
On the one hand, we have "the researchers and PhD's" that you know. On the other, we have published surveys of academics and an open letter from noted experts in the field. One side seems to have much better quality of evidence.

"All the oil and gas engineers I work with say climate change isn't a thing." Hmm, wow, that's really persuasive!

What would you consider evidence of a significant AI risk? From my point of view (x-risk believer) the arguments in favor of existential risk are obvious and compelling. That many experts in the field agree seems like validation of my personal judgement of the arguments. Surveys of researchers likewise seem to confirm this. What evidence do you think is lacking from this side that would convince you?
Let's assume an average iPhone battery is 5.45Wh and that they are charged to full every other night. That is 0.99kWh/year. We know there are 136 million iPhone users in the USA (1) so we are looking at 134GWh of electric consumption shifted to green generation.

Now assuming those phones were previously charged on the standard energy mix in the USA that is 0.368kg of co2 saved per device per year, or 501,584,76kg of co2 saved. That seems like a huge number! But is it?

Well let's put it in perspective. A flight from Heathrow to New York emits 312kg of co2 per passenger (3) so we have saved the equivalent of 600 fully loaded transatlantic flights. There are ~1700 flights a day so it doesn't seem like a huge difference. Disappointing.

But it seems like a pretty easy win so at this point I ask why not do it? I'm a big believer in aggregation of marginal gains and there are 10x that number of iPhones worldwide and many more Androids.

(1) https://www.bankmycell.com/blog/number-of-iphone-users
(2) https://carbonfund.org/calculation-methods/#:~:text=We%20cal...).
(3) https://www.nesta.org.uk/press-release/gas-boiler-emits-more....
(4) https://www.eurocontrol.int/news/celebrating-100-years-trans...
That's the great part about AI, because computers don't make mistakes, you can launder whatever biases you want through an objective and rational computer.
There are more choices than "ship-it-quickly and fix bugs later" and "over-engineer something complicated that ships later".

There are _lots_ of good practices which reduce the (potential) bug count without making things more complicated -- indeed, good practices serve to reduce complexity in design and architecture. Selecting the right data structures and algorithms, server-side validation, making proper use of your language's type system, choosing the correct type of database, writing some unit/integration/system tests, use caching judiciously, I could go on.
They use it themselves to route traffic, which probably is a not gpu intensive.

I've ran face detection on cpu and it takes 1 / secondv and it's probably a pretty intensive "action".

Plenty of use-cases that don't require a gpu

And plenty that require one too though.
> The non-industry people reviewing Zelda have 4 options, 7/10, 8/10, 9/10, 10/10.

Did you mean the industry people? Plenty of user reviews are 1/10. It's the industry guys that are always rating stuff 7+
Modern coaching and performance management have moved heavily to strength-focused approaches for exactly that reason. Hell, over 20 years ago I was introduced to StrengthsFinder, which is built on exactly that model.

The real problem is most of the managers I've worked along side either don't want to/like to/care to coach, or were never taught how to do it well, having come out of an IC background where they, too, probably never experienced effect performance management. And, ironically, they often get moved into management not based on their natural strength as a coach/manager/mentor, but rather based on their strength as an IC (because, again, their own management likely doesn't understand how to take a strengths based approach to identifying and elevating potential leadership candidates).
'Not all of us can do great things. But we can do small things with great love.'

Mother Teresa
Humans are not expected to be infallible. Computers are.

This expectation causes a lot of other problems, and will cause problems here too.
I've come to learn that a lot of the rationalist crowd are really just fanfiction authors. That's fine - people should be able to do that - but I don't like how they're given the limelight on things that they generally have little expertise and hands-on knowledge with. I want to like them and want to have them engaged in discourse, but I find them so insufferable.

Not to mention the sub-crowd of rationalists that is weirdly into eugenics. I wish the rest of the rationalist community would disown them loudly.
I'm not confused. But you are introducing unnecessary concepts here. A firm needs to make some profit in the long run, whatever you want to call it, to be able to sustain investment. If there's too many firms in the market, that can be undermined. That's why you don't see five dry cleaners right next to each other in the same strip mall.

And your second paragraph fails to address my point too. I acknowledged that in the long run, the health of the industry could be restored by some of the firms failing. But that can take way too long, and in the meantime, all of them are capital-starved and unable to invest in improving their businesses.
Are you just asking if these are unrealistic, contrived performance benchmarks? Those have always existed and they're fine: https://news.ycombinator.com/item?id=20231084

Some are more useful than others. There's no strict criteria just as there is no perfect way fully characterize CPU performance.
> The AI skeptics don't need to know which outcome the future holds.

But they need to interpret a benign point about the undisputed fact that an LLM has never convinced anybody to fly a plane into a building as some sort of dangerous ignorance of risk that needs correcting.
Did this with my dad and it’s been years since the last IT call.
Chromebooks to the rescue... for majority of people, even a lot of devs and designers, those work just fine.
hypothetically, you can run cocroach with replication factor 1, and have also low latency and apples to apples comparison.
Probably not. But did you read the next couple sentences? The point is just that the license is compatible with closed source projects, which is an interesting distinction to me.

Anything you found interesting?
There's a push and pull; ansible and terraform both have some facilities for doing what you describe, but of course if you're using both tools, then you wind up where you are, needing yet another layer of abstraction common to both.

In the book, the author presents an approach for storing the object state and organizing the repository for ansible purposes in what is at least as sensible a way as any other I've seen. For installations that might not directly benefit from additional layers of abstraction, managing object model state using ansible's native functionality might well be sufficient.

This is all a legitimate challenge, in any case. Network infrastructure and service instances have some management issues in common, but where they differ, they can differ by quite a bit, in ways that are hard to model at any level of abstraction.
The iPhone had some very clear and straightforward use case which were appealing to some extent to every person who had a phone and used internet.

To me VR seems closer to where PCs were in the 80s at this point.
> Why is this being downvoted? Sure the opening line isn't the most gentle, but these are some crazy benchmarks. I never saw this website before.

I guess people don't like getting fact checked
Of all the things I have to do on a daily basis, naming things is nearly at the bottom of my give a shit list. If you named a particular thing "FRED", I wouldn't care. I can read the code and get the context.

A bit extreme, but the point is that all of this is just a waste of time. A WASTE OF TIME. Name it close to what you think it is and move on with your life.
> I'd love to be able to put a wet load of laundry into my drier and press "make sure it's dry by tomorrow morning".

So, I do a bit of this myself, manually. I've got a table of appliances and wattages, both rated and measured (using a Kill-O-Watt). I also have a 6kW (max) solar panel installation, plus I'm on a time-of-day metered plan.

I try to make sure that anything that uses hot water (tankless full electric water heater; 29kW rated max) like the dishwasher and shower are done between 1000 and 1400, as that's the highest time of solar insolation during the day, plus the time of day turns over to the highest tier at 1400.

I've bought but not yet installed an eMonPi (https://github.com/openenergymonitor/emonpi), so theoretically I could automate some things to optimize when to run devices. As it is though, by tracking and actively trying to reduce consumption, I've already managed to keep my electricity bill to zero for years, even putting thousands of USD back into the grid (sadly, I do not get money back from this; it only counts as credit, and resets every twelve months).

As for your specific example, I line dry my laundry. I don't see the point of running a space heater (dryer) in my garage; it usually only takes a few hours to dry where I live anyway. The only reason I still have a dryer is for down sleeping bags and coats that have to be fluffed up.
Don’t even need operator overloading for vectors/matrices. It would be fine if we could simply define new operators (functions with infix notation) and use those. This would allow us to define an operator for matrix multiplication, matrix-vector product, dot product, and cross product.

Having to define these operators as functions with unique text names is extremely ugly and serves no purpose that I can see.
I did not! Thank you!
Editorial note: actual NYT title is “G.O.P. Threatens Spy Agencies’ Surveillance Tool” but I think the submitted title (currently “GOP disdain for FBI jeopardizing renewal of warrantless domestic surveillance” more accurately and informatively reflects the actual contents of the article. NYT headlines have increasingly just become variations on “GOP bad” and I think HN submissions deserve better.

(The “tool” in their opaque headlines is Section 702 warrantless surveillance of domestic communications of flagged terrorists which may “incidentally” include intentionally surveilling communications of American citizens.)
The normal person working with a computer is not a developer. Most of the jobs would be heavily influenced by the microsoft suite.

Microsoft in denmark is very popular, thanks to their amazing marketing team targeting corporates. Therefore this research just shows that closed source microsoft products do not work 20% of time.
I'm going to paint three huge demographic swaths here, with the caveat that the merits of any given argument, or any individual's track record, should override anything I say here.

I'm only doing this as a reply to a comment that's also talking about trends among three groups of people.

1. The "people in the trenches" are who I'd least trust about an opinion that everything is OK. Too hard to see the forest for the trees, and too much selection bias.

2. People who gained recognition decades ago, but who are in their slowing-down years as the world continues to change, are among those who I would least trust about an opinion that things are going too fast. It gets harder to keep up as we get older, and as we gain different priorities in life, and I expect this is true no matter how smart we are.

3. People who have spent decades philosophizing about AI-doom are also among those who I would least trust about an opinion that hasn't hugely deviated and become more nuanced as the world has changed and new data has become available.

I am absolutely interested in opinions from all three groups, but the arguments have to stand on their merits. If they're in one of these groups and express the expected opinion, that's actually a strike AGAINST their authority and means the merits of their argument need to be stronger.

I really, really do want to hear opinions from folks in all these groups, I just want to keep this all in mind. I also want to hear opinions from younger philosophers. Folks who are better in-touch with the current world, and rates of progress, and folks who don't have any reputation to uphold.

Also, anyone changing their mind is a big deal. Hofstadter may have changed his mind in the expected direction, but it's still a signal. I'd like to hear more of his thoughts. It doesn't sound carefully considered in the clip in OP's link unfortunately, but that doesn't mean it isn't, and I'd like to hear it.
What if some of the experts said "It's really hard to know, but our best guess is there is a 10% chance of this thing hitting the Earth" and other experts said "I really don't think it'll hit the Earth"? My best guess is that Earth wouldn't do much at all about the risk as that seems to be basically what we are facing with AI x-risk.
what do you mean by this exactly? like whats an experiment which establishes the difference? a lot of human behavior is also only liminally generative cached retrieval
> they just wanted a quick fix, not spend $$$.
> Then I bought macs for everyone

I bet you would've gotten similar results if you spent the same amount of money on Windows computers.

For example, my dad is using an 8 year old Windows computer that he got second hand. It works absolutely fine because it wasn't underspecced at the time it was produced.

People underestimate the difference investing in good hardware makes. They see $300 computers and expect them to work just as well as a $1200 top of the line machine, and then get frustrated at how slow their Celeron machine gets after getting their expectations crushed. Getting mad at a "broken" computer is easier than admitting you messed up and made a terrible investment.
The books you presented are, roughly speaking, introductions to programming with a focus on data science, functional programming, and common structures/ideas used in those which are, in other texts, not usually considered introductory material. "Data" in this sense means, like, collected facts about the world and how to model them.

Data-oriented design is a particular way of designing your programs where you focus on efficiently laying out your "data" - in a different sense, meaning "whatever it is I've got in storage" - within that storage - to compute with it as fast as possible.

The industry-standard tools used for the first thing are often using techniques developed in the second of the second thing, but that's not relevant for the pedagogical framing. The tools they are teaching (Scheme and Pyret) actually make it very hard to play with low-level data layout details. And the emphasis in these texts on "real [as in, world] data" is in direct contradiction to the DOD axiom that "data is not the problem domain... The data-oriented design approach doesn't build the real-world problem into the code."

A rule of thumb: Is anyone talking about GPUs, SIMD, or CPU cache sizes? If not, you're looking at something about data modeling or data science, not data orientation.

And this, sorry, is all super fucking obvious if you actually read the intro to all three things.
Are there any metrics as far as how many normal users will be impacted by this?
Huh, I've been playing SC2 for about 14 years now and have no idea what SC2 arcade is.

I think the game is pretty much dead but don't take my word for it. Just look how much money Blizzard is spending on it. Scraps. Literally. I guess it's hard to monetize because there isn't much room for vanity in such a game.

That said, history often rhymes. I care little about fashion but it's hard to miss the endless repetition every few years. Same with music, interior design, politics, and so many other things in life
GP is referring to the tweet itself, which is behind an login screen if you don't have a Twitter account.
Luckily BF16 is just a truncated FP32. That means that the hardware can do BF16, just you don't get any performance benefit compared to FP32 (and depending on the hardware design, you might also have to space the data 4 bytes apart rather than 2), so you lose the memory bandwidth and RAM usage benefits too.
Ah, DocBook //imageobjectco with something like calspair as well. I've been wanting it badly, but there's zero movement in the Asciidoctor group to try and tackle that beast.

With all due respect, and speaking as an amateur programmer, when it comes to lightweight markup, is there a better way to write a parser besides regular expressions? I suppose it's how the semantics are abstracted.

Asciidoc does get you conditionals and transclusion in the core spec, without needing to resort to extensions. This is what brought me over. That and the XML interoperability.

The Eclipse WG isn't published yet, but, in my opinion, it's a more stable surface to build on than the "many worlds" of Markdown.

Every time someone shows me a cool markdown trick, it requires me to pull something down from github and `npm-install` (or equivalent). But, well, that's kind of the point, isn't it? Markdown's ease of implementation allows a degree of glorious hackery that's just not possible otherwise. While Asciidoctor's great albatross - and its great asset - is Ruby . . which inevitably involves Opal at some point.
Unity, Once Again
Dunno. Geoffrey Hinton's impressed. My mum's not interested. (Hinton https://www.youtube.com/watch?v=Y6Sgp7y178k)

Wikipedia on Hinton:

>Hinton received the 2018 Turing Award (often referred to as the "Nobel Prize of Computing"), together with Yoshua Bengio and Yann LeCun, for their work on deep learning. They are sometimes referred to as the "Godfathers of AI" and "Godfathers of Deep Learning"

Is there anyone at the Turing Award for AI level who's not impressed I wonder?
Food stamps are an injustice, however, the ends there justify the means, food stamps are so people don't starve. They aren't "luxury dinner at fancy restaurant stamps" in the same way admission to famous(ly expensive) universities is.

ADA measures (that affect individuals) are also very different in that existing and proven disabilities are the reason to alleviate problems from those exact disabilities. They aren't blanket bonuses for some races in the way university admissions were before the most recent supreme court decision.
IMO this comment goes too far in the other direction. There is a lot of "natural aptitude" in what we can learn, and more specifically, what we can learn to do well. I can theoretically learn ballet, but I have no "natural aptitude" and so I will never be even OK at it. Similarly, my wife could try to learn programming, but her brain isn't able to make sense of how programming works. The big thing is that just because you don't have "natural aptitude" for something doesn't make you a worse human. It just means your strengths are elsewhere.
If the market can be relied upon to determine the winners, it must also be relied upon to determine the losers.

I support the "no M&A" policy.
Gaming will likely also use locally hosted AI sooner rather than later.
Show HN: WebCalm – Free JavaScript and CSS Support for JetBrains IDEs
Same here. About 10 years ago I told everyone I did IT support for that I would no longer work on Windows. 23 people ended up buying Mac and converting their entire lives to Apple's ecosystem. I get called maybe once every 6 months with a question about some slow performing app or what they should upgrade too. Best decision I ever made.
Have to be willing to pay extra for it and switch away from products that do not work as well as you desire them to.

And there need to be enough of you for a market.
Location: Brazil
Remote: Yes
Willing to relocate: Yes
Technologies: Python, Typescript, AWS, GCP, SQL, Scipy, PyTorch, HF/Sencence Transformers, SpaCy, OpenAI, LangChain, LMQL, Flask/Quart/FastAPI, PostgreSQL, BigQuery, Vector DBs, React, React-Native, Vue
Résumé/CV: https://fernando.megali.dev
Email: fernando@megali.dev
GitHub: https://github.com/naripok
Website: https://megali.dev

Greetings!

I'm Fernando, Principal Engineer at Megali (https://megali.dev) - a software development agency based in Brazil. During the last 8 years, I've had the privilege of delivering bespoke software solutions designed around unique business needs for partners all around the world.

My expertise ranges from end-to-end BE/FE development to data pipelines and custom machine learning models.
I'm very comfortable working on fast paced environments, small and large teams, directly with startup founders or as a third party service provider for companies.
I'm pragmatic, with a founder's mindset, I value agility, value generation and craftsmanship.
Note that this offering is to work direct with me, but I can come up with and manage a larger team if necessary, given availability.
I've just ended my last contract and I'm looking for new opportunities to apply my skills, helping you to achieve success in your projects, in a timely manner, with quality, peace of mind and within your budget!
I've always suspected that journalists get story ideas from Hackernews top posts...

https://news.ycombinator.com/item?id=36533153
It absolutely does. What leads you to believe that it doesn’t?
Maybe that’s a good business idea: solely focus on bug fixes for clients so their “rockstars” can architect their way into more bugs that need fixing. Since the business’s employees I are only focused on bugs, and not features, they’re not leaving tech debt in their wake.
My guess is that one’s iPhone will one day become the « brains » for a home’s appliances and control all that.

You’ll set your alarm for 6am and then the dryer will know to dry by then.
Pocket Worlds (https://www.pocketworlds.com/) | Remote | Full-time | Sr. Python Engineer - PM - Creator Community Manager

Our mission is to build the future of social interaction and experience to unlock deeper human connection.

We're doing it by enabling creators to build games and experiences that attract and connect millions of people in our virtual universe.

Pocket Worlds is looking to hire the best:

- Senior Python Engineer
- PM (this will be our first so very excited opportunity here!)
- Creator Community Manager

If you love having full ownership, working in a high energy environment, and having a direct impact on the product i would love to hear from you!

See our careers page for our job postings and perks:

https://www.pocketworlds.com/careers
A few years back (let's call it 2020) and autonomous cars, which are being used for taxi trips today, would be five years in the future. In fact they would be three. Unless something major happens in the next two years, there will still be self-driving cars, even more of them, driving and picking up people in 2025. This is not the argument you think it is.