loire280
loire280 on Hacker News
So many of the cool, revolutionary features of these watches look so hard to use and can't possibly have been used regularly by their owners (translation dictionary lookup? scientific calculator?). Reminds me of the Windows CE devices I was kind of obsessed with as a teenager that were amazing but kind of useless because of their form factor.
It's better than nothing when you are troubleshooting and suspect it's their bug. I hope the rampant illegal AI scraping doesn't force companies to end the practice and go completely closed-source.
A well known example is Gitlab Enterprise - you can see the source code but (IANAL) you can't use it without paying them and any modifications you make become the property of Gitlab. I remember seeing similar terms around some of the proprietary Confluent Platform components.
https://gitlab.com/gitlab-org/gitlab/-/blob/master/ee/LICENS...
Google has been extremely aggressive in growing its Cloud business in the last few years and has been offering big incentives to companies willing to switch from other providers. Looks like that's beginning to pay off as companies start to pay the unsubsidized bills.
"Source available" is already a common term for source code that is provided with a very restrictive license or under regular copyright.
The author isn't disputing that these organizations have developed working exploits, they're saying that the exploit is difficult enough to achieve that,
as far as they can tell, nobody has publicly released a working exploit except for vibe coders whose exploits rely on insane misconfigurations on the server.
With previous showstopper security bugs, once you knew the vulnerability existed the exploit was immediately obvious.
Rolling your own Linux is nearly free and could be done on any computer you had lying around. Dropping >$5k on a computer to run a local model (badly) doesn't really scratch my "hacker" itch. The author of this article works for an AI infrastructure company and ran Kimi K3 on their infrastructure - this post reads like marketing.
https://www.minecraft.net/en-us/article/minecraft-java-editi...> For minimum requirements, the new target is 1080p at 30 FPS using the Fast preset. This means a 64-bit system, 8 GB of RAM with a discrete GPU or 12 GB with integrated graphics, a 4-core processor, and a Vulkan 1.3 capable GPU with at least 2 GB of VRAM.
> For recommended requirements, the new target is 1080p at 60 FPS using the Fancy preset. This includes 16 GB of RAM, a stronger modern processor, and a more capable graphics card with 6 GB of VRAM.
This blog post also implies that the requirements bump is due to numerous changes to Minecraft over the years, not just the change to Vulkan.
> If you already play Java Edition without issues, you may not notice anything changing right away. If your game often struggles, the new requirements may help explain why and give you a clearer target for a smoother experience.
I agree this type of web design sucks. It's been common for more than a decade - I remember Apple getting criticized for using this on the product page for the old "trash can" Mac Pro in 2013, and it was already widely used back then.
However, it seems pretty clear to me they did this in service of a joke - you have to "crank" your scroll wheel to get to the content, just like you have to crank this device. I think it's funny...
> Anthropic's own scaffold is described in their technical post: launch a container, prompt the model to scan files, let it hypothesize and test, use ASan as a crash oracle, rank files by attack surface, run validation. That is very close to the kind of system we and others in the field have built, and we've demonstrated it with multiple model families, achieving our best results with models that are not Anthropic's. The value lies in the targeting, the iterative deepening, the validation, the triage, the maintainer trust. The public evidence so far does not suggest that these workflows must be coupled to one specific frontier model.
The argument in the article is that the framework to run and analyze the software being tested is doing most of the work in Anthropic's experiment, and that you can get similar results from other models when used in the same way.
This happens to everyone's fingers to some extent because the fingertips dry out as you age. It's a huge source of frustration for elderly folks since it adds to the confusion around using touch interfaces. My family members have had some success moistening their fingers with a wet paper towel periodically as they use their devices, though of course that is impractical on the go.
I've seen engineers I respect abandon this way of working as a team for the productivity promise of conjuring PRs with a coding agent. It blows away years of trust so quickly when you realize they stopped reviewing their own output.
Unless you're suggesting the toy company secretly rigs the magic 8 ball to never recommend nuclear war, I'll take my chances with the organizational changes.
It's easy to fall into a negative mindset when there are legions of pointy haired bosses and bandwagoning CEOs who (wrongly) point at breakthroughs like this as justification for AI mandates or layoffs.
I sing tenor in a university choir as an older male community member and we encourage anyone to sing tenor whose voice is low enough. Over 1/3 of our tenors are women and our voices blend very well IMO.
The Fremen followed a messianic figure into a galaxy-wide holy war because the Bene Gesserit seeded their culture with manufactured prophecy as a failsafe.
They don't claim to support Polish, but they do support Russian.
> The model is natively multilingual, achieving strong transcription performance in 13 languages, including English, Chinese, Hindi, Spanish, Arabic, French, Portuguese, Russian, German, Japanese, Korean, Italian, and Dutch. With a 4B parameter footprint, it runs efficiently on edge devices, ensuring privacy and security for sensitive deployments.
I wonder how much having languages with the same roots (e.g. the romance languages in the list above or multiple Slavic languages) affects the parameter count and the training set. Do you need more training data to differentiate between multiple similar languages? How would swapping, for example, Hindi (fairly distinct from the other 12 supported languages) for Ukrainian and Polish (both share some roots with Russian) affect the parameter count?
I may not be using the same definition of "motivation" as the author, but understanding what motivates your people, putting the right mix of people together to work on the right problems, and knowing how and when to apply pressure to get people to do their best work are absolutely something managers can do to motivate their teams.
I still mourn the loss of Weatherspark's old Flash interface, which brilliantly displayed all of this data in a single pane. I've never seen as concise a visualization of current and historical weather data.
That's not the point of his piece, and spending time virtue signaling to the reader would undermine the message that this kindness is a form of grace, given freely without expectation of reciprocation.
I think this was rhetorical hedging - the author was expressing false doubt to underscore how extraordinary the actions of his hosts were, but he didn't literally mean he wouldn't do the same for others. The tone of the rest of the piece implies he is very grateful for the kindness of strangers.
Since it has no calories, it's not "food" by even a very loose definition.
As someone who lives in a neighborhood where most tapwater is still delivered by lead service lines, I'm sympathetic to the argument that it provides hydration. I'd prefer that my tax dollars went to solving that problem more directly, however.
I read this comment as implying a similar kind of exceptionalism for technology, but expressing a different set of values. It reminds me of the frustration I’ve heard for years from software engineers who work at companies where the product isn’t software and they’re not given the time and resources to do their best work because their bosses and nontechnical peers don’t understand the value of their work.
There is a finite and relatively narrow range of ratios of CPU, memory, and network throughput in both modern cloud offerings and bare hardware configurations.
Obviously it's possible to build, for example, a machine with 2 cores, a 10Gbps network link, and a single HDD that would falsify my statement.
In fact, a properly-configured Kafka cluster on minimal hardware will saturate its network link before it hits CPU or disk bottlenecks.
There's a lot of population centers in the US that could be better connected without crossing the Rockies.
Beijing to Shanghai is roughly the same distance as Chicago to New York City. Travel time via train is 4.5 hours vs 22 hours.
Boston to New York is almost 4 hours on the Acela!
Every software company I've worked at that is more than 5 years old had major features that nobody understood anymore, even features that were core to the product.
You're right that the orange man has been a big factor, but not because of his effect on the stock market. The stock market isn't the economy, and most Econ PhDs are not working on modeling stock prices.
As the article indicates, a huge portion of the market for hiring PhDs is directly or indirectly dependent on federal funding. Universities are freezing hiring and reducing PhD cohort sizes, institutions like the IMF and World Bank are in crisis, and US government agencies have been reducing staff sizes. There was hope that the tech industry would provide another big source of jobs for PhD economists, but that hasn't panned out.
Source: the article, and my wife works in the UChicago economics department.
Buses are the resilient backup for trains, especially if road infrastructure has been designed to prioritize transit (e.g. Chicago highways with shoulders designed to let Pace buses bypass traffic jams).