skysight-inc/HackerNews huggingface dataset:
Nope.

QC allows a very specific attack that breaks the main asymmetric algorithms today, ECC and RSA - there is no meaningful attack on anything else (Grover's algorithm is technically a sqrt improvement on symmetric algorithms but that isn't close to breaking AES256).

There's nothing general purpose in the attack on RSA and ECC: you can use the quantum Fourier transform to find the period of the key, and that period tells you the key. But this is very specific - you have two algorithms that have inherently periodic behavior, where the period is meant to be secret, and so all you need from the QC is the period.

It's hard to see how to extend that to other problems.

I'm more curious about (and kind of wish more emphasis would be made on) programmable analog computers, which is what it seems QC should be capable of. A lot of the difficult with QC is that people seem really fixated on discrete problems (like factoring \o/) where there's a single correct answer, and so huge amounts of effort and research are going into error correction, etc. There are lots of problems (simulations as in this circuit), where the classical solution simply requires running millions of times with random variance to converge on a sufficiently accurate result where a QC would theoretically be great. The general use problem in that case becomes "how do I convert this classical problem into a QC compatible algorithm".
Amazon, Audible, and AbeBooks are owned by Amazon.
How Long EV Batteries Last
Getting up to the point of doing the thing usually takes more time than the thing itself. that’s true in a lot of endeavors. Are you in a physical factory assembling product? The production and assembly time end to end is often a fraction of the time and effort spent putting everything in place to run the assembly.
One thing that was unclear to me based on my prior noodling with Zig was what the plans were for supporting interface or trait-based polymorphism.

I've been falling in love with C++'s std::experimental::is_detected and am looking forward to being allowed to use C++20 in my environment since it will bring Concepts, but in my cursory examination it seems Zig seems to prefer vtable abstractions like Allocator.VTable.
Work computer probably has various agents etc running on it.

One of my favorites was a script pushed by GPO that was flagged by Crowdstrike, which caused some other stupid process to fail and freeze things.
Unprofitable companies get bought out to simply continue existing.

Like Twitch and YouTube.
What we used to do is announce in our team chat: "anyone around for a round of bikeshedding? I need to name a thing". The thing being named is usually not user facing, so it was more of a team building exercise than anything related to compliance or style. We would get it done in a few minutes and never discuss this name again, because we already had this discussion.

The actual names that came out of these exercises are generally pretty good, and often a shorter name would win over a longer one.
bf16 is generally easier to train neural network than fp16 on due to no need for scaling. And most model training and inference performs the same with fp32 and bf16.
Might as well just ditch IRC (it's dead, grandpa) and use Matrix directly.
Turns out you are right, things have changed in the SUSE world. And it does indeed seem to be worth considering. However, in terms of long term support (LTS), Leap still can't match RHEL clones.

https://www.theregister.com/2021/06/04/opensuse_leaps_to_153...
Kokoo kokoon koko kokko!
Koko kokkoko?
Koko kokko.

Gather up a full bonfire!
A full bonfire?
A full bonfire.
It will not slow innovation directly, but it may have indirect effects.

There are companies which develop leading edge products that depend on lasers, LEDs or gallium nitride power transistors.

If China really cuts the exports of gallium and germanium, then such companies might have to reduce the volume of their production and to raise prices, which would lead to lower sales. Lower sales would cause lower profits, so maybe less money will be spent on research.

Gallium and germanium are widespread, but their extraction processes are extremely expensive.

A shortage would rise their prices, which would stimulate the creation of new mines and refining plants. However, that would require a few years. China has just been hit by a new wave of US sanctions that will make difficult for them to continue the production of some semiconductor devices, but they should also be able to become self sufficient in a few years.
Nearly 10k more babies born in nine months under Texas’ abortion law
Not the OP, but mostly because it doesn’t do what I’d want an AI to do.
FWIW, I just tried EasyOCR on some sans-serif text and Tesseract5 absolutely blew it out of the water. The only thing Tesseract got wrong that EasyOCR (sometimes) got right was uppercase Is ("I") were recognized pretty much 100% of the time as vertical bars ("|"), but since my text of interest is extremely unlikely to have any vertical bar characters, a simple sed post-processing stage fixed that.

- Tesseract5 *demolished EasyOCR on paragraph detection, getting that 100% on the 10 pages I checked. EasyOCR missed most of the paragraph breaks.

- Tesseract got most of the punctuation correct, EasyOCR only got apostrophes and two double-quotes (out of 14) correct. Every single period, comma, exclamation mark, and hyphen was missing or wrong, as were most of the double-quotes. Some question marks were recognized, but with garbage after them.

- In general EasyOCR seems to just add in square closing brackets ("]") where none are
Yes, but there really aren't too many good solutions to that that aren't either extremely language or domain specific. And if you're careful you can get a lot of direct mileage out of it. For example, MongoDB (yes, that one!) used it in the development of their Atlas system and has a paper about using TLA+ to model the system, characterize behaviors, then generate compilable-code test cases from those minimal set of behaviors -- which are then directly linked against the core internals of the Atlas codebase as a client library. They then run those tests and re-generate them when the model changes. "Model based test case generation" is the strategy here. So you can characterize what happens in split brain scenarios, state machine transition failures (conflicting transactions), etc.

In reality the design stage is a pretty critical phase so you need all the help you can get, so even if you don't like TLA+ you're way better off than not modeling at all.

As an example of the language specific thing, though, there's a library for Haskell I like that's very cool, called Spectacle, which also implements the temporal logic of TLA+ along with a model checker, but as a Haskell DSL. An interesting benefit of this is that you can model check actual real Haskell code that runs e.g. in your services, but I haven't taken this very far. There are also alternative solutions like Stateright for Rust. But again, not everyone has the benefit of these...
The decline of individual social networks leads to social network monopolies, it doesn't damage them.
“Your iPhone doesn't send any of the location information that it uses for this feature to Apple.”

I’m actually curious how this is possible. Does it download a carbon efficiency database for the detected region? Otherwise, how do you know the schedule for the best times? Is the database shipped with iOS? How granular is it?
Amazon's inshittification of everything continues. They also own AbeBooks, have their own cargo airline, Twitch, Audible, Metro-Goldwyn-Mayer, Kindle, Ring, Whole Foods, IMDb, Zappos, Egghead, the late lamented DPReview, and a few others.

> incredibly anti-competitive.

A description of Amazon in general.
ABN AMRO | software developers, data scientists, data engineers | ONSITE | Amsterdam, The Netherlands | full time

I’m hiring for a few positions at the Strategy & Innovation (S&I) department of ABN AMRO. ABN is the third largest bank in the Netherlands. We’re the technology team within S&I and work on things ranging from the introduction of GPT support for bank employees to data analytics for strategy to apps and websites for new products.

What’s special about us:

1. Speed: we typically work on projects that go live between 1 month and 6 months. (We launched GPT based summaries and knowledge base in the contact center in 4 weeks)

2. Lots of greenfield work: we have the privilege of building the apps and sites that support new products. Lots of opportunities to build things from scratch here. (For examples of our products, see doorpakken.abnamro.nl)

3. Mixed teams: our total group is about 70 people, which contains everything from data scientists to software and platform engineers. For proposition development we pair with internal entrepreneurs.

Available roles:

- starting and junior developers (iOS, android, ‘full stack’). Our stack is Vue3 with backends in Java or Python.

- Great data profiles, that want to make impact with data and AI. We currently have people ranging from hard-core deep data scientists to practical integrators that deliver data enabled solutions very quickly.

We’re open to various profiles, as long as you get energy from delivering working software/solutions to clients quickly. If you think you might be a fit, feel free to reach out for a discussion.

Must live in the Netherlands to be employed, but we’re very flexible about remote work. Most people work remote 2-4 days per week.

Email is in my profile!
Smith where Jones had had had had had had had had had had had the examiners' approval.
Scala 3 has actual extension methods.

extension (c: Circle)
def circumference: Double = c.radius * math.Pi * 2

val c = Circle(2, 3, 5)
c.circumference()
Company A is 6 days away from going out of business. They will shut their doors. All employees will lose their jobs. All customers will lose access to whatever Company A does that they find helpful.

But then Company B agrees to buy them for $1 so that they continue running. Pays the employees, and continues running the service for customers.

Ban it?
Fp16 makes it easy to accidentally overflow, especially around summation operations.
VR with extremely light eyewear coupled with extremely high resolution where real life is indistinguishable is essentially being able to pick your reality. I don’t think there’s any doubt that this wouldn’t be a niche thing.
After reading your comment (but not looking at the spoiler), I attempted triangulation from the get-go.

I managed to get 60 mi away.

I think 0 mi away is very impressive. Especially since you had already used some of your attempts without initially aiming for triangulation!

Kudos to you :)
...until someone investigates deep enough and discovers that. Remember that under the GDPR the site has an obligation to tell you who they send the data to and for which purposes. So they would be breaking the law two-fold, hiding the truth and processing your data non-consensually. That would be a death sentence in court, since it proves malicious intent to bypass the law.
Lazy, entitled companies should pull themselves up by their bootstraps and build their own supply chains from scratch. Maybe if they had some work ethic, they wouldn't need all that hard-earned tax money - corporate welfare queens.

All joking aside, supply chain shenanigans are a nightmare.
Would have been too easy if there were any political signs lol. 14 miles for me.
We don't need stronger laws - just the enforcement part.
By the way, acquisitions are easier to defend IMO. There are definitely cases of "Business X acquires business Y" that have no anti-competitive intent or anti-competitive consequences. But at least anecdotally, I can say mergers that do not lead to anti-competitive behavior are quite rare.
SVG 1.1, the last widely supported standard, came out in 2003, and the web has changed a lot in 20 years.

There are a lot of changes (probably a factor in lack of support) but broadly it is to bring CSS support to SVG, that the browsers have been doing for years.

I worked on a side project to learn SVG and the two biggest features that SVG 2 has is

* support for z-index. SVG elements are currently rendered in the order they are written in markup. This is very annoying if you have common groups of things that interweave with other things visually; but you can’t put them under a single element to select.

* HTML style text rendering. Today in HTML, you can have text respect a container’s width and break to newline when needed, and you can align any corner of a text element to the general CSS box model. SVG text does not have a way to specify a width, and you can only align to the baseline of the first line of multiline text. This is very infuriating.

—-

The major reason for lack of progress is that updating the w3c standards is like herding cats; and SVG needs to include the professional authoring tools that produce it, which is the 800-pound gorilla that is Adobe Creative, and everyone else trying to eat Adobe’s lunch, so it’s hardly a cooperative bunch.
Location: Central Europe
Remote: Yes

Willing to relocate: Yes

Technologies: Typescript, Vue.js, Quasar Framework, Node.js, Python, Django, Next.js, TailwindCSS, PostgreSQL, AWS, Heroku, Docker, Firebase

Resume: on request

Email: kompaszbence@gmail.com

About me: An experienced full-stack developer specialized in web development and DevOps. Very comfortable in wearing many hats.
Yes, the model is more like an executable form of documentation. There’s no guarantee that code comments match what the code actually does; similarly there’s no guarantee that the TLA+ model matches what the system does.

Documentation is still generally useful, and so is a model. You have to be committed to keeping both up to date as the code evolves.
That seems to be what OP is implying. I haven't used Zig, so I can't say. I suppose people who want to avoid memory management related bugs who can't acccept a GC language can use Carp.
> I can literally measure those with a ruler and a scale

You can’t measure a number of internal stress-strain conditions during the moment of failure. You can’t repeat the experiment with the same stick. The best way to get a fast intuition for why the simulation is superior is to take an entry-level CAD course with a focus on material design.
> "All IP (trademarks, copyright, patents) from one of the two merged companies gets released to the public"

This sounds very extreme to me, sometimes acquisitions are done exactly because the buyer is interested in the other company's IP. This would be a showstopper even in the cases where the buyer really wants to use the IP it is going to aquire.
Making this work without a first-party backend would require a way to regularly change configuration data on the embedded device by pairing it with the mobile app. Bluetooth or local wifi access point. That's do-able, but unless you're Apple, it's hard to make that a seamless experience.

I went for the mandatory first-party option because it is important to me to build a device that is super reliable. Nobody wants to debug the bluetooth connection with a calendar. Running the server is cheap enough that I can keep it running for a decade or more, even after I stop selling the last device.

Still, the comments in this post have convinced me that offering this as a fallback option may be a good idea, to address the understandable concerns about obsolescence.
IIRC even K&R Second Edition acknowledges that the C type syntax is awkward for non-trivial cases.

The "new" style used by Go, Rust, Zig, Typescript etc... is a lot easier to read because it always 'resolves' from left to right.
This would reduce consumer value quite a bit in some cases. Let’s not throw the baby out with the bath water.
Previous discussion: https://news.ycombinator.com/item?id=36358672 (links to different site discussing this, but most of the conversation is about the paper/research)
Aristotle was right - or else the electronic calculator, the abacus, and rocks know how to do arithmetic too. (One needs to specify what "knowing" means before smiling at the hairless apes of the past).
Agreed. During my time at an AR startup, most of our interest was from niche players or one-offs.
Current company (biotech, data) is genuinely interested in VR + rendered anatomy data for client reports:
https://www.syglass.io/
How about websites try cultivating their own audiences in the comments section and messageboards, which was the default until these sites decided that getting traffic from social was all that mattered?

10 years ago The Verge had a thriving comments section, with an audience that migrated from Engadget and Gizmodo. There was even a messageboard to discuss topics in more detail. It ended up getting closed. These days the comments sections on Verge stories are largely dead.
> More hypothetically, I would also expect that a world in which people spend a lot of time with screens strapped to their head, consuming an infinite stream of entertainment provided by generative AI, is not going to produce higher GDP.

Yeah, I think this dovetails with the idea that IT may be satisfying preference allocations without increasing overall production. Watching 10 movies a month on a streaming service adds much less to the GDP than going to the cinema 10x, but if the selection is better it might satisfy you more. Economists sometimes attempt to measure this with "utility adjustments" which recognize increasing quality in the same goods, but it's very hard for those adjustments to account for the hidden preferences of the consumers as opposed to objective qualities of a good or service.

Information goods like social media and streaming, financial services like pay-me-later, and conveniences like next-day delivery are all examples of activities that might suit preferences without showing up in GDP. They also may enable distraction, waste, reclusiveness and impulsiveness in ways we'd like to avoid as a society. At the same time they might also help some people feel more included and less lonely or trapped by circumstance.
> web rings and link indexes

The popular "Awesome ${whatever}" collections are very much that, link indexes for relatively narrow areas.

Curation matters. This is something computers are still bad at, or are too expensive to deploy for a mass-market service.
Don’t forget that most of these engineers down in the trenches can’t see further than their battlefield.

You actually need someone with vision and track record of doing right predictions and placing right technology bets.

Ask engineers that had placed their bet on deep learning and generative models back when discriminative models and support vector machines were a rage of dat, a few years before Alexnet (I’m one of such engineers). I’d bet the answer will be different.
A 272-page PDF of classified Sega of America docs from ~1996
We also los 4-9%% of meeting time with people trying to get their Zoom connection to work (camera, audio, can't connect etc). The impact on GDP must be pretty significant.
There's no way that this isn't due to what you're reading. Almost everybody who does serious politics is on twitter, so if you can't find serious political conversation or though there, you can't find it in actual politics.

If Congresspeople are trolling, the problem isn't twitter.
Initial Research Governance Framework Related to Solar Radiation Modification [pdf]
all 5 photos in roughly the same location I believe to help you narrow it in. Every day a new location with 5 new photos you can drill down with.
If these people were so concerned, they'd by shouting from the hilltops and throwing their entire life savings into stopping us. They would organize workplace walkouts and strikes. There would be protests and banners. Burning data centers.

Eliezer is one of a handful of people putting their reputation on the line, but that's mostly because that was his schtick in the first place. And even so, his response has been rather muted relative to what I'd expect from someone who thinks the imminent extinction of our species is at hand.

Blake Lemoine's take at Google has been the singular act of protest in line with my expectations. We haven't seen anything else like it, and that speaks volumes.

As it stands, these people are enabling regulatory capture and are doing little to stop The Terminator. Maybe they don't actually feel very threatened.

Look at their actions, not their words.
alas that's not accessible anymore
When I read about the dangers of AI I'm reminded of the feeling I had after reading Jeff Hawkin's "On Intelligence". He talked about simulating the neocortex to do many of the things that deep learning and LLM's are doing now.

His research may or may not be a dead end but his work, and this work, to me seems like we're building the neocortex layer without building the underlying "lizard brain" that higher animals' brains are built upon. The part of the brain that gives us emotions and motivations. The leftover from the reptiles that drive animals to survive, to find pleasure in a full belly, to strive to breed.
We use our neocortex and planning facilities but in a lot of ways it's just to satisfy the primitive urges.

My point being, these new AIs are just a higher level "newcortexes" with nothing to motivate them. They can do everything but don't want to do anything. We tell them what to do. The AIs by themselves don't need to be feared, we need to fear what people with lizard brains use them for.
This tweet about the "censorship industry", whatever that might be, has been censored by the official slogan of Twitter 2023:

> Something went wrong. Try reloading.

(Why do people keep discussing the fact that Twitter is broken _on Twitter_?)
Thank goodness I can enjoy these same frustrations when I sit down to watch to TV thanks to all the bugs with the various streaming services.
> I just give you two books that you've read and you tell me which is better.

I can't wait to compare The Pickwick Papers against The Unfolding of Language.
No, it is dissimilar.

Humans learn over time.

Humans have social pressures.

Humans have explanatory rather than merely predictive models about what they do.

Deviations by humans from expected standard behavior often produce better rather than worse results.

The list goes on.
I've actually thought about this. But there are cases when mergers can help customers. E.g. when a vertical merger happens, that can absorb some of the profit margins between a supplier and manufacturer. Ideally, regulators should analyze the market for problematic dynamics.

But I agree that the vast majority of mergers that make the news are not good for consumers.
Thanks for the interesting answer, lots of things I want to google now! :D
It's not "Is journalistically neutral". It's being a purveyor of propaganda. Just like when journalists quote cops using CopSpeak. It lets the interested party defined the terms of the debate. By constraining the terms, it can become literally impossible to say some things.