skysight-inc/HackerNews huggingface dataset:
I agree that this is the ideal solution, but you can't exactly retrofit a place you rent with completely new plumbing.
This was published 5 days ago--I am assuming that "Saturday" refers to 25 Nov. Sunspot group AR3491 mentioned in the article isn't even visible on the nearside of the sun anymore [0].

A current look at sunspot activity (along with lots of other data) can be found at [1] -- region AR3500 seems interesting, and it includes 12 different sunspots.

0: https://soho.nascom.nasa.gov/sunspots/

1: https://www.spaceweatherlive.com/en/solar-activity/sunspot-r...
The device used in the original blog post is an Amazon streaming box, playing back video from Amazon's streaming service. So that device absolutely can be updated with new revocation lists.

For Blu-Ray players, discs contain updated revocation lists and players are required to store the most recent list. So any time you buy a new movie, you update that list. The delivery mechanism for this list is actually way more insidious than just having a file on the disc that players need to copy. There's actually a whole virtual machine in every Blu-Ray player, called BD+.

You see, if you were to just decrypt AACS[0] video data on a commercial Blu-Ray, you'd actually get a corrupted data stream, because you need to also run the BD+ program to get the fixup tables to unscramble the decrypted data. BD+ also adds facilities for the BD+ program to authenticate the player, inspect the state of the player software, and even run native code to update your player. If you don't provide the correct data[1] to the BD+ program, you don't get your fixup table, so every licensed Blu-Ray player implements BD+ such that all the inspection and update functionality works as intended.

[0] AACS is the DRM scheme that encrypts Blu-Ray disc data. It's HDCP's fraternal twin.

[1] Much of which is cryptographically signed and verifiable by the BD+ program
“Prostitution is a new phenomenon that people from earlier ages wouldn’t expect to exist today”?

Regardless, the article’s case pretty clear if you would read it. Mass job losses and from all the COVID fraud lead to folks getting money however possible.

Throw in years of the eduction system telling people a college degree in “whatever you want” is better than tradeschool and that service jobs are the worst thing to possibly end up in, and here we are. People with shattered compasses and mountains of debt trying to make a living in a world that will lie to your face and force you to like it.
Self-reflection test failed
It’s important to have a vision of what you want to do as a company.

For as long as I can remember, Jensen has been telling us during all hands meetings that Nvidia is a visual computing solutions company, not a semiconductor company. (The “visual” part has only been dropped in the past few years.)

Nvidia sells hardware, but they also sell complete solutions, and everything in between.
I recommend visiting "the morning paper: a random walk through Computer Science research, by Adrian Colyer". It ran from 2014 to February of 2021, covering a paper per week or so. You can read Colyer's analysis first to determine if reading the paper sounds worth your time. There are also various lists of key programming/CS papers. For example, "What Every Computer Scientist Should Know About Floating-Point Arithmetic", David Goldberg's 1990 paper, includes various theorem proofs essential to understanding how IEEE floating point is defined.
On what timeline though?

Why our bubble in time is specifically owed resources to make barely updated iPhones each year?

Why these crappy synthetic gadgets? Why not compute in chemistry or biology? Business machines of the 1900s are not the only viable substrate for computing.
Reddit Leads Class of 2024 IPO Candidates Testing the Wate
Where do you put it?
I am not at all happy with the overly broad interpretation of the Commerce Clause which started with NLRB v. Jones & Laughlin Steel Corp., 301 U.S. 1 (1937). This essentially gave the federal government a loophole to exercise authority over almost everything based on only the most tenuous connections to interstate commerce. Hopefully the Supreme Court will reverse that and similar decisions in a future case, thereby limiting federal power. I will continue complaining until that happens.
Amazon Q brings generative AI-powered assistance to developers (preview)
Thanks for this; I read this a long time ago and have no clue where, so it’s nice to have the backup of some math.
Sorry you feel that way: why passive aggression took over the world
A lotta slop sinks are just washing machine drains. Lets your machine pump as quickly as it wants without needing to a separate high-flow drain. And buys you more litres of backflow before its a real problem. Tho some washing machines can pump up quite a few feet if needed.

Lived in an apartment where the front-loader managed to pump a sock into the high-flow drain where it got stuck. That was fun...

(Also had a front-loader break it's door seal, also a lot of fun...)
Both Keras models/layers (with the PyTorch backend) and Lightning Modules are PyTorch Modules, so they should be able to interoperate with each other in a PyTorch workflow. We have not tried this with Lightning, but we've had a good experience with custom PyTorch Modules.

More broadly, it's feasible to use Keras components with any framework built on PyTorch or JAX in the sense that it's always possible to write "adapter layers" that wrap a Keras layer and make it usable by another framework, or the other way around. We have folks doing this to use Flax components (from JAX) as Keras layers, and inversely, to use Keras layers as Flax Modules.
I'm glad someone from AWS is here! Some general info on the sharding approach would be interesting, e.g. whether secondary indices on sharded tables are scatter-gather, or separately sharded on the index columns, or you configure it per index, or what.

From what I hear from folks using things like Vitess, if you're used to a monolithic SQL database there's often some things to learn to mentally model your query cost well after you move to a sharded world, and understanding more up front can save heartburn later. Writing up those details well is a good thing that AWS could do.
I think it is just nostalgia. When SVGA games with 640x480, 256 colors became a thing, many iconic pixel art games used that (e.g. Sim City 2000).
Frustration Using Apple News+
Ok. What are you interested in?
In how much time does a solar/wind project becomes carbon negative compared to coal?
Schlage makes some that use ZWave Plus (500 series or better, didn't check the spec sheet). I have an older model that works nicely for this.

https://www.schlage.com/en/home/smart-locks/connect-zwave.ht...

This would give you the "is locked or not" capability you seek here, but obviously requires a replacement of your door lock (perhaps not trivial if renting, but is a very easy DIY otherwise).
>Emissions must drop nearly in half by the end of this decade to have a shot at keeping warming to 1.5 degrees C.

Well that’s not going to happen.
HomeAssistant works, but I'm always surprised when it is praised on Hacker News given the preponderance here for rewriting every program in Rust.

Home Assistant is an unwieldy monolith where spitting out the components would give you so much more control. The side that receives the data works well, however. The quality of the plotting in it is substandard, as is the inbuilt data storage and access. Configuring via YAML is painful, especially when you want derived values (e.g. calculating absolute humidity from RH sensor readings. HomeAssistant comes with no way to clean up dirty data which is something you'll see on their forums that many people request, as cheap sensors are notorious for spurious readings.

It's easy and polished which is why I and I suspect others use it, but I wish there was a modular rewrite.
It is of type <T>.
> It's likely the TA knows of specific flaws reported to NXP that can be leveraged to exploit devices the chips are embedded in, and that's assuming they didn't implement backdoors themselves. Over 2.5 years (at least), that's not unrealistic.”

I assume these chips had backdoors long before Chinese hackers started collecting files and saving them to dropbox. Pretty convenient to be able to blame Chinese hackers for any backdoors that come to light now.
I love how they characterize blatant abuse as "services".
There are neurons.

https://en.wikipedia.org/wiki/Artificial_neuron
It was announced a few days ago at the Capitole du Libre festival in Toulouse, France. Framasoft is hiring a second developer to work on PeerTube (for now it is mostly the work of a single individual), and they will, among other numerous things, work on mobile apps and video/sound decoupling to allow for the podcast usage cited in another comment, for example.
Show HN: Haven (YC S23) – Quickly iterate when fine-tuning open-source LLMs
Demo Video: https://www.youtube.com/watch?v=XpyVKUyt7k8

Hey all! A friend and I have been building projects with open-source LLMs for a while now (originally for other project ideas) and found that quickly iterating with different fine-tuning datasets is super hard. Training a model, setting up some inference code to try out the model and then going back and forth took 90% of our time.

That’s why we built Haven, a service to quickly try out different fine-tuning datasets and base-models. Going from uploading a dataset to chatting with the resulting model now takes less than 5 minutes (using a reasonably sized dataset).

We fine-tune the models using low-rank adapters, which not only means that the changes made to the model are very small (only 30mb for a 7b parameter LLM), it also allows us to host many fine-tuned models very efficiently by hot swapping adapters on demand. This helped us reduce cold-start times to below one second and makes it possible for us to host a single trained model for a few dollars per month. [Research has shown](https://arxiv.org/pdf/2305.14314.pdf) that low-rank fine-tuning performance stays almost on-par with full fine-tuning.

We charge between $0.004/1k training tokens, and after signing up, you get $5 in free credits. You can export all the models to Huggingface.

Right now we support Llama-2 and Zephyr (which is itself a fine-tune of Mistral) as base models. We’re gonna add some more soon. We hope you find this useful and we would love your feedback!
No, didn't you read the article? They're 'democratizing' the smart home.
What's your definition of interesting?
Is one of these $10 devices all you need? Or do you need some home unit along with it?
Smart pointers should really be like, chapters 2-10.

In my experience, every useful C++ application requires wrangling some historic smart pointers implementation: Boost, Unreal, libwebrtc, Qt.

Even NVIDIA uses its own smart pointers (thrust::device_ptr) though that's understandable. Also there's stuff like this: https://stackoverflow.com/questions/65938991/how-to-use-lamb... for e.g. TensorRT.
This is obviously a good thing; but - if only that could also mean we were on track to cut non-renewable power by a similar ratio! Oh, well.
Oh that's fantastic! I hope this is supported on the new HLS-only streaming system.
Why is it VW's problem what you do with the car after they sell it to you? Surely the court should go after you?
Tesla Cybertruck payload capacity 29% less than promised
I'm sorry you hate freedom so much.

I'd rather teach people how to consume alcohol responsibly than use the force of law to ban it outright and preach to you that it's for your own good. Ditto for many other vices. We're better off with a citizenry who's been taught self-control than living in a nanny state.
I disagree because the majority of data science roles focus on optimizing production processes or customer acquisition/retention. In practical terms, while we often reference tools like OpenAI, the real-world application revolves around machine learning-based data analytics and unstructured business intelligence. Keras emerges as a valuable tool for businesses due to its combination of machine learning capabilities beaing easy,allow data experimentation, for the business knowledge. In this context, the emphasis on machine learning isn't as pronounced as it is in companies dedicated solely to ML, such as OpenAI or Google ML
Learning few-shot imitation as cultural transmission
This looks really cool, and it's good to see Keras come full circle back to being an ergonomic interface with support for multiple frameworks. I remember being pretty disappointed when pluggable back ends went away. I appreciate that in the NLP module there is the most humane and concise LORA implementation I'm aware of. The ability to embed Keras components into models using other frameworks is pretty key.

Question: What's the model export story? If I want to export for CoreML or use the new PyTorch model compilation is there a straight forward way to do that?
A Positive-Only Hacker News RSS Feed
If you like that you'll love this https://pytorch.org/blog/compiling-numpy-code/
> I personally think it's great that they are attempting to build such a thing.

Why? It seems like a novelty and crumple zones were added to cars for a reason - a feature stainless steel likely cannot replicate.
Lines up a bit too perfectly. Everyone has their threshold of coincidence I suppose. I am working on some hard science into measuring the amount of computation actually happening, in a more specific quantity than hz, related to reversible boolean functions, possibly their continuous analogs.
It's not so much that people are told that service jobs are the worst to end up in but that we have made that true. They may be better than literal penury but they are as close to it as can be sustained. No paid time off, no consistent schedule to build a life around, no healthcare, very little dignity.

It's no surprise people will seek any alternative and their motivations for doing so are not based on incorrect or fabricated data. Those jobs are truly miserable.
Let me rephrase - 'constant output 24/7/365 renewable power'
That was what initially spurred many people to stop using their ISP's DNS resolvers.
that very much depends on your philosophy. Many believe that there is no continuous "self" in the first place.

it doesn't matter if the upload is a copy, if the "original" is constantly being shredded and re-printed every moment anyway
California's privacy watchdog eyes AI rules with opt-out and access rights
I don't really understand why people care specifically about .com when they're still one of the cheapest TLDs you can buy. Like if you wanted to pin this on Verisign specifically you're gonna have to explain why every other domain costs about the same or more. Like tech darlings .io=$71, .tv=$32, .me=$25. Even the worst domain ever .info is $23.
Is this available for Aurora Serverless V2 as well?
With regular ticks, it's possible that longterm high rates of exposure causes anemia or heath issues from pathogens. I've simply never heard them cite blood loss from ticks as the acute reason. Supposedly a cow can loose 3L of blood at a time and ticks average about .5mL per feeding. So you'd need 6k fully engorged ticks to loose that much blood to cause problems, and more to actually kill them. I would think most farmers would notice something like that pretty quickly.
> Wayland is largely developed by the old X developers. They’re the ones who say Wayland

That doesn't mean it's any good. Or that they're right.

"The people in the best place to decide decided" is a hugely fallacious argument. You can say that about any controversial change to anything and dismiss any argument out of hand with that.
Heh, I remember that too. Von Neumann architectures being legacy was all the rage, and many students were excited to be able to build the next thing.
GROQ Says IT Can Deploy 1M AI Inference Chips in Two Years
Please don't post shallow dismissals. If another comment is wrong, it's great to explain why (as long as you do it without swipes etc. - see https://news.ycombinator.com/newsguidelines.html). But if you don't explain why, the comment doesn't contain any information that people can learn from, and is just a putdown. We're trying to avoid that here.
I had to think about little Johnny. He wanted to bring Kevin home to play one day. So Father asked Johnny “what skin color is Kevin?” Johnny’s reply?

I’ll check tomorrow at school.

The kid didn’t know and didn’t care.

Can we grow up and be like Johnny? I don’t care what culture, color, or gender a speaker has, as long as the topic is discussed or presented in an engaging way, I’m fine with it.
The question to me is: are they actually good? I've bought into the Z-Wave ecosystem, and by and large all the Z-Wave door/window sensors available on Amazon have bad reviews. They have issues maintaining a connection to the network, they drop events, have terrible battery life, etc. The Zigbee sensors on Amazon seem a bit better, but still.

I'd seriously consider getting a Zigbee USB stick if I knew these function well and have good battery life. I just bought several $40 Z-Wave door/window sensors that got decent reviews, but at 4x the $10 IKEA price, I'm not going to be buying many of them.
The default assumption is not “everything is unhackable”. The burden of proof is on you/vendors to prove that a vendor can protect against commercial hackers.

What, are we just supposed to assume that their product works until a exhaustive third-party analysis with no access to the design proves it is mathematically impossible otherwise. Can I also claim I have a faster-than-light drive and you have to believe me until you can prove otherwise even if I have never demonstrated it actually going FTL? That is a totally ridiculous position.

But since you want some evidence. Not a single one of those companies has ever once been able to achieve a EAL5 or higher certification for their software which indicates “resistance to penetration attackers with a moderate attack potential”. They have tried numerous times for their headline products in the past and present and have at most been able to achieve EAL4 for locked down configurations the vendors personally implemented which is only adequate for “assumed non-hostile and well-managed user community requiring protection against threats of inadvertent or casual attempts to breach the system security“.

This is certification standard they are legally required to certify against to sell to the US government and which is advertised, sometimes exclusively, on all of their security pages. All of those companies have tried and failed to achieve higher certification levels for literal decades over tens of software versions and billions of dollars spent.

So yeah, your turn. Find one single counterexample. If you can not even find one measly verified/certified example of what you said in the entire world, I think I have proved my point to anybody still reading this.

If you are going to just keep hemming and hawing or post a unverified or useless certification do not bother to respond, that will just look bad for you.
Isn't it more or less automated? Create an Aurora replica cluster from your normal RDS database, switch your application over and then delete the old RDS instance.
> A prolific espionage hacking group with ties to China

Lovely
> Bitcoin has nothing in and of itself.

I don't understand what is "in and of itself" in an ordinary currency of an ordinary, small country.

> INTERNAL economical crisis is what causes the collapse of currency

Which is why it is very unlikely to happen with bitcoin.

> But just because the rest of the world doesn't recognize it, doesn't mean it is worthless, it simply converts.

Can't you say exactly the same about bitcoin?
You need to upgrade the firmware on both your devices + controllers, this is a known problem that I think is mostly resolved now.
Yes! 100% Right, can't believe I left that out. One of the big things is to make sure to use ConstEval if you can do a new verson of c++(20), since ConstExpr isn't guaranteed and can leave stuff in the binary that can hurt size or obfuscation. For example one thing I see alot is lookup tables for hashing who use constexpr and hide some key data in there, but it "may" just randomly do it, and can cause alot of issues.
The Sega CD / 32X branding was completely confused and ill-timed, too.
Just added this to my reading list. It looks and smells like a promising approach for training and inference at scale directly from relational data, and modeling the relations, instead of from flat records/files with features and labels. It's refreshing to see original work that is not about incrementally tweaking some transformer!
Thanks - I hadn’t thought about that
It never becomes carbon negative? It just emits less overall.

To become carbon negative it would have to suck carbon back from the air.
How it's built vs what it looks like.
I have just been dealing with problems of VMS this week, and I have Dave Cutler to thank.

We have a temporary emulated VAX running VMS 7 and Rdb [a SQL database now owned by Oracle]. After several tries to move the Rdb backup files through our QA firewall with FTP, we finally had to use Multinet SFTP2 to push the backup instead (upping the transfer time from 3 to 40 minutes), which autodetected "VMS mode."

There are some secret record blocking/delimiter capabilities in the ODS-2 filesystem used by VMS that an FTP binary transfer will not preserve, and which the Rdb backup/restore process absolutely needs.

Thank heavens that UNIX thinks a file is a single stream of bytes.

Windows continues the feature experimentation with NTFS "alternate data streams." My, how clever that is [not].

EDIT: from the article, the claim "The open-source BSDs and Linux had just seen the light of day." is not quite correct. Bill Joy was involved in the earliest BSD repacking of v6 Research UNIX, shipped in 1978.

"In 1975, Ken Thompson took a sabbatical from Bell Labs and came to Berkeley as a visiting professor. He helped to install Version 6 Unix and started working on a Pascal implementation for the system. Graduate students Chuck Haley and Bill Joy improved Thompson's Pascal and implemented an improved text editor, ex. Other universities became interested in the software at Berkeley, and so in 1977 Joy started compiling the first Berkeley Software Distribution (1BSD), which was released on March 9, 1978."

https://en.wikipedia.org/wiki/Berkeley_Software_Distribution

...I have also read elsewhere that a conscious decision was made in Windows to never, ever support big-endian architectures (but I am not certain that this is correct). NetBSD and Linux can run big-endian.

"Now, I know you will complain that NTFS is slow… but you know what? It almost-certainly is not... NTFS on its own is fine..."

XFS appears to trounce NTFS, and it consistently leads the performance scores on tpc.org; until very recently, SQL Server on XFS/Linux was well ahead of Windows.
Base load is decidedly not an obsolete concept. Renewables go to zero, and building sufficient peaking capacity to overcome a total loss of grid power would be preposterously expensive. Renewables spread over a large enough geography could, hypothetically, overcome variability, but nowhere in the world has developed the grid capacity (or even renewable generation capacity) to substantiate that strategy, and the odds of the US developing that kind of grid capacity are nil. There will always be a need for substantial base load generation.
We could end warming tomorrow, but emissions will take some time.
Oh sorry. They weren't visible in the edit I replied to.
You don't think there's any possibility of emergent properties? Given that we understand physically how the human brain works, but not how consciousness emerges from that, I'm pretty damn unconfident.
I'd be really interested in a write-up of your setup with more details so I can try it.
While the current over marketing of AI is a fad, this person is making a dumb claim. AI is genuinely revolutionary and the next step in modern computing.
When the picture leaked of the Cybertruck not even being able to load a bike in the bed, you could hear the Tesla billions going down the drain.