skysight-inc/HackerNews huggingface dataset:
The point of the first one is that you can create snapshots from within the product where profiling data isn't forever. This is so you can use the pprof.me link in a GitHub issue, PR, or elsewhere and trust that the data never goes away even if the original data went out of retention. We actually originally built pprof.me out of frustration that users of Prometheus (several of us are Prometheus maintainers) at best submitted screenshots of profiling data when all we wanted was an easy way to explore it.

I agree that neither of these are terribly complicated features, but as far as I know no other product on the market actually has this combination. (yes, you can export data from most systems and use a different visualization tool but the point of products is to provide a single integrated package)

(disclaimer: Founder of the company that offers the product featured in this case study.)
This has been one of my favorite features Apple added. When I’m in a call and someone shares a page I need the link to, rather than interrupt the speaker and ask them to share the link it’s often faster to screengrab the url and let Apple OCR the address and take me to the page/post it in chat.
cuz it will collapse the global ecosystem and plunge huge populations into climates they're not prepared for.
Because your mom and your grandma went and got Facebook accounts, since it was easier to share baby photos that way. And then everyone just used that to chat with mom and we neglected the old systems.
It's been coopted by far right politicians in my country, and they just use "woke" verbatim. The purpose of the word is made even more clear here than it is in the US, since it's destitute of any prior historical context or usage: "woke" simply means "things I don't like and want to make illegal".
What about the almost sacred checks and balances that an independent judiciary provides?
That would be ideal. But, I don't believe there is a strong incentive for many existing network to be upgraded without using NAT.

In regards to TURN, it is used only as a fallback.
As a note, CodeWeaver might be a confusing name, as CodeWeavers (the Wine development company) exists since 1996... ( https://en.wikipedia.org/wiki/CodeWeavers )
I really want a tool like this that can extract a function and its dependency graph (to a certain depth maybe, and/or exclude node_modules).

I wrote this library [1] and hope to add the fine-grained "reference resolution" utility to it at some point, which could make implementing such a tool a lot simpler.

[1]: https://github.com/aleclarson/ts-module-graph
So when Congress tells you a grant must do X and write in it that you will do A, B, and C to achieve X and the grant is reviewed by independent experts who don’t give a shit about X it’s automatically bad science?
> What’s the specific national security issue

The app is owned and controlled by the Chinese Communist Party. Basically the equivalent of a Chinese citizen using a CIA-controlled app to get their news. It's a very bald-faced security threat.

Furthermore, China has explicitly banned any American social media from the Chinese market for years. They know it's dangerous letting foreign nationals control your narrative, probably because they've been exploiting social media for years.

Oh, and there's also the electoral controversy: https://kyivinsider.com/russia-and-china-just-rigged-romania...
US Gov Org Chart
Unfortunate naming, given that CodeWeavers is already a company making a Windows "emulator" for Linux and macOS. [1]

[1] https://www.codeweavers.com/
I can chime in with a similar anecdote. I use co-pilot extensively in "fancy tab completion" mode. I don't use the conversational features - just the auto-complete to help my coding along.

I specifically found it very useful when dealing with a bunch of boilerplate C++ shim code that used some advanced template magic to declare families of signatures for typed thunks that wrapped and augmented some underlying function call with record/replay log.

It was arcane, bespoke stuff. Highly unlikely to be imitated in training data. The underlying code was written by a colleague (the CTO) but it was hard to grok just because of all the noise the template magic added to the syntax, and carefully keeping track of what was getting substituted where.

The changes I was making were mostly to add new shims to this collection of shims, and co-pilot happily used the pattern of shims in previous lines of code to extrapolate what my new shims should look like and offer me tab-completions that were sensible.

That included some bad guesses (like inferred names for other templated forms that referred to different argument types), but overall it was structurally close enough to use as a reference point and fix up as needed.

It was really great. Took what would have been about day's worth of work carefully figuring out from first principles how the template system was structured.. and made it into about half an hour of "get it to generate the next shim, verify that the shim does the right thing".
The class warfare fans are no different in their delusion than the goddamn Manson family and racial supremacists who see "the coming race war" as always just around the corner. Normal people don't harbor urges to mass murder but they insist upon projecting their twisted minds and motivations onto everyone else.
But wouldn't it be the same when Google translate is actively replacing nodes?
Western Digital to Unveil 44TB HAMR HDDs in 2026, 100TB in 2030
Yes, this story is far too soothing to the software engineering ego to be actually true! Generally real world problems are messy, hard, and full of human problems. It's a little aggravating when 'software engineers know everything' stories like this are taken at face value and reinforce that mistaken idea.
Joseph Tainter’s Collapse of Complex Societies should be required reading. I don’t care your major. It should be required reading.
The more likely and far more mundane outcome isn’t that LLM providers actively tip the scales, but rather that they just entrench existing winners.

As others have pointed out, it's a flywheel: Popular library gains traction → LLMs are trained to produce the “most likely response”, which naturally aligns with what’s already popular → people stop seeking alternative solutions and instead double down on the existing mainstream choices. (Hypothetically) It's not that OpenAI decides to push AWS, it's just that at the time it was trained AWS was the only real option so it just regurgitates a common view from a point in time.

To extend your analogy, the more realistic scenario isn’t that kids slip in extreme view points and take them as ground truth in their history assignments, it’s that they don’t take a stance on anything at all: Their essays become like CSPAN transcripts, perfectly regurgitating what happened without taking any position or applying any critical thinking one way or the other.

Imagine kids writing about civil rights, but all their reference material was stuck in time at 1953: That's what's more likely to happen.
Banksy would seem to be Robin Gunningham rather than Robert Del Naja the Massive Attack guy.

Various photos and stuff in the Mail https://www.dailymail.co.uk/news/article-13237003/Banksy-ex-...

and non Mail https://itsartlaw.org/2023/12/03/the-real-banksy-anonymity-a...

also Gunningham was named in the previous Banksy court case.

He obviously though has a few people working with him.
That is patently false and nothing but rhetoric. Chicago has been consistently number 1 or top 5 for corporate (inbound) relocations over the past decade. Doesn’t fit the narrative so you might doubt me, google it. NYSE bought the CHX in 2018 which was nearly defunct in terms of volume even then for access to its SEC license. They are posturing to ensure if Texas based exchanges take hold they are a part of the story vs letting the incumbent Texas Stock Exchange win that market uncontested. Time will tell if either exchange gets traction toward relevance or if this fizzles out entirely as the Chicago based exchange was doing.
the association with police has always been tied to white nationalism, the only change is that the association has become mainstream
The question you have to ask is how inaccurate the data can be while passing the CAPTCHA challenge. The people trying to pass it at scale using bots or farms don't care to pass it correctly.
The healthcare diagnosis one may be wrong. For existing known diagnoses, (or at least the sliver of diagnoses in this one study), AI can beat doctors - and doctors don't like listening when it challenges them, so it will disrupt them badly as people learn they can provide data from tests directly to AI agents. Sure, this doesn't replace new diagnoses, but the vaaaast majority of failures to diagnose are for existing well classified diagnoses.

https://www.advisory.com/daily-briefing/2024/12/03/ai-diagno...

Edit: yeah, people don't like this.
its fine, I prefer ours more oriented around a familiar format like OpenAPI

https://github.com/dylibso/xtp-bindgen
I think https://habr.com/ru/articles/top/monthly/ is the most famous

There's a similar one about russian "startups" https://vc.ru/popular/month
One biased ZDF poll from the German state television. Here is another (50% against):

https://www.ipsos.com/de-de/jeder-zweite-deutsche-gegen-weit...

50% of Ukrainians want negotiations:

https://news.gallup.com/poll/653495/half-ukrainians-quick-ne...

The majority of comments in German newspapers is against continuing the war.
I'm sorry but you must be confusing something. You're talking about a bachelor's degree when everyone else is talking about PhDs. The vast majority of people do not have the qualifications for a PhD at 18.
First, the dataset we're discussing doesn't prove what you're suggesting. We'd need to look at a much larger dataset that includes awarded grants without this language as well as proposals that failed to receive grants to see if this is really the case.

Second, is this a problem? Should all government grants have a strict goal of advancing science? Doesn't the government have a interest in spending money in ways that promote equitable outcomes?
no it will not. Wazero will likely never do that.
I also suspect reasoning models will start contributing genuine innovations to public repositories in the near future.
House Science Committee asks GAO to review FAA commercial launch licensing
I have always used o1 pro and deep research, but these are only available through the web UI.
there is no doubt that cursor and others have a better UI, but the demand for this type of tool exists because OpenAI does not release an API
Astro 5.3 launched
Cursor's predictions work for me the vast majority of the time (far more so than Copilot+VSCode). Might be a language/framework dependent though.
The global IFR was claimed to be around 3% and CFR around 10% in early 2020 because of how the tests were restricted, artificially reducing the denominator. I think serious side-effects were claimed around 40-50% as well, but not sure I'm remembering that one right. It was never actually that high, but most people had no idea what was actually going on and it caused all sorts of panic which led to the lockdowns.
i absolutely think they're 100% just theatre for video

and they may be real, but like a lot of feel good charity things, it's not about building them, it's building ones that are sustainable and that the locals will actually use.

beast shows up, digs some holes, gets some smiles, but all of those holes will require maintenance and tools for the local population to use. they may not be built to withstand local conditions, and don't have real community involvement.

in a year they'll just be another route for nasty shit to leach into the ground, and beast will be on to his next showboating bullshit feelgood episode
Maybe I don't understand but isn't this what you use LLMs for?
Most of the alternatives on the GP's comment have more than one order of magnitude better performance.

Maintainability doesn't even enter the question. React's way is to rewrite. All of the alternatives on the GP's comment are possible to maintain.
I for one love it that we can copy each other's homework. The open source mindset is what made me fall in love with this industry, and I love the fact that sharing code got easier. If you really want to continue reinventing wheels, go ahead.
Apple has offshored so many of their hardware jobs that it would be a challenge for them to not increase production in the USA. It's been decades of Apple knowing this behavior is wrong, and they're still addicted to China regardless. I award no points until they actually sort out their manufacturing partners without relying on authoritarian control.
Ellison has made it clear that he thinks the US needs a Chinese style social credit surveillance system, and is likely concerned that the proles are gonna rise up and sink his boats.

Mapping DNA is just another part of that schema.
In Java if you hold an reference to an "old" object then that will be kept alive until all references are exhausted, thus an identity comparison comparing pointers will never succeed as long as someone holds an reference (that is compared to).

In languages with more manual management, the pointer itself if used can be reused and succeed in bad cases (though from my cursory knowledge of Rust this seems to indicate quite a bit of unsafe behaviours).
My anecdotal tests and several benchmarks suggest that Qwen2-VL-72b [0] is better than the tested models (even better than Claude 3.5 Sonnet), notably for OCR applications. It has been available since October 2024.

[0]: https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct
Sure of course, but in recent years, it is war that has somehow forced itself onto and into many bodies...
(S2 dev) I think it took a bit of time to figure out what was going on as it was more of a game of enabling a feature in the sha2 crate since the profile showed us that it was using `soft` while we needed the hardware optimized. We thought being on neoverse-v1 would automatically detect to use hardware optimization, but that wasn't the case and we ended up looking at the sha2 crate closely only to figure that enabling the asm feature fixes it!
I don’t know of a tool but I’ve had some success doing this with a one shot short prompt. I say something like, “Here’s a readme. Develop this in Go.” Followed by the readme.

I’ve been getting complete working code with this strategy but I’m creating projects that are relatively simple.

I also notice that I have to give a little deeper context about “how” it should work, which I normally wouldn’t do.
Am I the only one thinking through the reading of this: "Wait a minute... isn't this article some kind of weak X then Y also? Observation of many cases, with generalized causality concludes that he just feels like x should cause Y? hahaha. Love the article btw.
Great pointer! My sibling post in this thread references a few other blog entries where we have detailed using eDRX and similar low power modes alongside Connection IDs. I agree that many devices don't need to be immediately responsive to cloud to device communication, and checking in for firmware updates on the order of days is acceptable in many cases.

One way to get around this in cases where devices need to be fairly responsive to cloud to device communication (on the order of minutes) but in practice infrequently receive updates is using something like eDRX with long sleep periods alongside SMS. The cloud service will not be able to talk to the device directly after the NAT entry is evicted (typically a few minutes), but it can use SMS to notify the device that the server has new information for it. On the next eDRX check in, the SMS message will be present, then the device can ping the server, and if using Connection IDs, can pull down the new data without having to establish a new session.
Since no new fundamental AI breakthrough has happened since transformers were invented, it stands to reason that all current applications of AI are just LLMs underneath.

RAG is just an LLM plus regular procedural code acting on the LLM output. So are "reasoning" agents, because the reasoning is done via LLM predictions. "Agents" are just RAG applications that have access to your screen, keyboard, and mouse. It's LLMs all the way down.
Exactly, the LLM-RAG boffins are all over stuff like this.
When I buy an iPhone and use iOS, I’m making an active choice to be an Apple user.

When I install a third-party app and use it, I’m making an active choice to be their user too.

When that third-party app embeds the Facebook SDK which tracks me, I don’t know about it and do not have the ability to consent to Facebook tracking me.

ATT brings Facebook to the same level as Apple and the third-party app developers by giving me the visibility and choice I would otherwise be deprived of. It should be possible to opt out of being a Facebook user. Being silently opted-in without consent is what ATT fixes.
> Do you guys require security clearances (in USA locations)?

We certainly appreciate applicants with clearances but it is not a requirement.

> Can you do visa sponsorship for the German location for Americans?

We do not do visa sponsorship at this time.
> 'en' plus a bunch of random language codes

This is an easier fingerprint signal than just not sending anything.
> Were you not aware of the subsequent court judgment in favor of the guy in the 2019 article?

It. Doesn't. matter. The article linked is but one incident. There's been plenty others, some involving public figures. Cops are literally acting like thought police and no, that isn't hyperbole.

The problem that this occurs in the UK far more widespread than it does. I get you want to defend your country but I think you're taking it a bit far here. Denying the issues out of a sense of patriotism is how they worsen.

> Incidentally, the Daily Mail is not a news source.

As I said, the fact that it was a DM article is irrelevant here.
"why is Go compelling as a source language for WASM?"

As near as I can tell, the answer is that it is supported, and has been working now for many versions.

See the short list of "production" languages here: https://github.com/appcypher/awesome-wasm-langs And read the sections carefully; you might think your $FAVORITE_LANG must be in the "stable for production usage" section given how big it is but it's full of a lot of languages with small communities. The really big names are mostly in the "unstable" category.

I can verify that I've toyed with some WASM support in a few languages now, and it is often not even functional, or takes vast effort to set up far above and beyond the official tutorials. You'll see a steady stream of stories on HN over the years about how this language or that language supports it, but in many cases those should be understood not so much as a commitment of support, but as a snapshot, that in that moment, it worked, but it may not work next week.

It's still true that Go produces big binaries. Official WASM garbage collection support may shrink that at some point though it'll still be larger than other languages for the goroutine runtime support. Not only is a bare minimum "Hello World" a couple of megabytes off the top, the Go WASM executables grow quickly as you add libraries. It rapidly becomes usable only for situations where you are guaranteed very high bandwidth for all users. Such situations exist, but is certainly a major limitation. (Though at least it does cache well, if you are even slightly careful with caching.)

So, to summarize, I'd say that it's not that Go is awesome and amazing, but that vast swathes of the competition are still quite bad.
What sort of evidence and analysis? Did the scientists dig a tunnel underneath these volcanos and drop a dipstick? Point being that the “loquacious” information you removed from the summary contained useful information and your summary just tosses it.
You're still not really internalizing the fact that academia is status-economy job, like being a celebrity. There are orders of magnitude more people willing to be there (under worse circumstances than you) than there are available positions.

How you move socially is going to be one of the biggest factors that can kill opportunities for you or spin you out of academic work entirely. Everyone is out for themselves -- knives out.

As such, you're probably living very dangerously trying to navigate intimate relationships anywhere in the orbit of campus. Sure, it happens, but doesn't always end well.
The problem isn’t the mutability of the State object, but the mutability of the pointer to it.

Your approach works in Java, but it only works if you have a garbage collector that can ensure the memory is not freed until there are no extant pointers to it, or you never free the objects. The ABA problem occurs when one writer reads the old pointer, another writer swaps out the pointer and frees the old object, a third writer allocates a new object that happens to be placed at the exact same location as the first one, then the first writer does its compare-and-swap.
I'm familiar with the linked study, which presents legitimately challenging analytic problems. There's a difference between challenging analytic problems and new analytic problems.

A new platform poses new analytic problems. A new edition of the WHO's classification of skin tumors (1), for example, presents new analytic problems.

(1) https://tumourclassification.iarc.who.int/chapters/64
As an employee of one very large tech company I agree completely. Most people inside these companies are working for themselves. I know this comes across as an obvious reality of employed life, but it's hard to describe how ridiculous it sometimes gets.

Example: complicated and flashy feature developed almost solely for the purpose of promotions. Everyone with decent product and domain knowledge that argues against it is shoved aside and labeled a hater. A year and a half later and zero usage of the feature and management decides to sunset it to avoid the expensive maintenance. Everyone involved with developing and promoting the feature celebrates this new decision as if no one's the wiser.
What's the goal here? What do you plan on doing with this?
Sadly, as a person who used write AVX in C for real time imaging systems: don't care shipped.

I love dingling around with Cursor/Claude/qwen to get a 300 line prototype going in about 3-5 minutes with a framework I don't know. It's an amazing time to be small, I would hate to be working at a megacorp where you have to wait two months to get approval to use only GitHub copilot (terrible), in a time of so many interesting tools and more powerful models every month.

For new people, you still have to put the work in and learn if you want to transcend. That's always been there in this industry and I say that as a 20y vet, C, perl, java, rails, python, R, all the bash bits, every part matters just keep at it.

I feel like a lot of this is the js frontend committee running headlong into their first sea change in the industry.
I have never had to handle handwriting professionally but I have had great success with Tesseract in the past. I’m sure it’s no longer the best free/cheap option but with a little bit of image pre-processing to ensure the text pops from the background and isn’t unnecessarily large (I.e. that 1200dpi scan is overkill) you can have a pretty nice pipeline with good results.

In the mid 2010s I put Tesseract, OCRad (which is decidedly not state of the art), and aspell into a pretty effective text processing pipeline to transform resumes into structured documents. The commercial solutions we looked at (at the time) were a little slower and about as good. If the spellcheck came back with too low of a success rate I ran the document through OCRad which, while simplistic, sometimes did a better job.

I expect the results today with more modern projects to be much better so I probably wouldn’t go that path again. However as all of it runs nicely on slow hardware, it likely still has a place on low power/hobby grade IoT boards and other niches.
Smoothing out messy data from an eye tracker into a smooth gaze path.