skysight-inc/HackerNews huggingface dataset:
This is still rasterized, though. They're just leveraging RT hardware for high-fidelity shading.
> And that's why I only build my own HA devices.

That's cool. My kid is a budding (pre-tween) engineer, and I have technical/scientific skills but no engineering skills. Have you made anything like super entry-level that might be a project for a couple of no-knowledge-yet enthusiasts? (I just considered for the first time ever that this might be a good starting point for my kid's "real" engineering work. So far it's been kits and toy-things.)
How many bankers went to jail from the 2008 financial crisis?
I'm generally interested in Bluesky (and I'm already using it), but I think DNS was probably the wrong choice for them here: it's not authenticated (and can't easily be authenticated in reasonable ways), and has relatively weak guarantees around propagation, invalidation, etc.

The "well-known" URI scheme[1] was intended to overcome many of these deficiencies, and has worked admirably in other contexts (for example, Let's Encrypt's HTTP-01 challenge scheme[2]). I believe Bluesky also supports a "well-known" flow for domain verification, but it seems like it still isn't the default.

[1]: https://en.wikipedia.org/wiki/Well-known_URI

[2]: https://letsencrypt.org/docs/challenge-types/
I almost always do my repl work in a source code file. That way I never lose it when the repl closes and I can copy it into a test when I know what’s going on.
Ah, this was a grammar error on my part. Sorry about that, let me clarify.

TPMs do offer up their endorsement key (or an endorsement key certificate) to third parties.

And, TPMs can share attestations in a way that doesn't reveal the endorsement key. They use attestation keys for this. Attestation keys can sign TPM attestations, and these keys do not identify the TPM.

This approach requires a trusted CA. The CA confirms the TPM's identity (using an endorsement certificate issued by the TPM vendor), it confirms that the attestation key and endorsement key reside on the same TPM, and it issues a certificate for an attestation key.

The attestation certificate might contain TPM vendor info, firmware version number, and proof that the attestation private key is hardware-bound. But it need not contain any permanent identifier. The TPM can now use its attestation key and certificate to sign attestations for a third party.
I think we're entering a new paradigm for programming. AI is the tool. Anything that wants to be used heavily should have a training set ready for an AI to learn.
Considering it's estimated at $80bn and expected to grow to double that by 2026 in NA alone[1], not sure how you can say it's just a HN thing. Even in home building its impacts are huge, with most home builders now having plenty of smart home packages, such as Mattamy in NA partnering with Ecobee and Fernsby. People expect more from their homes.

Perhaps you might be viewing smart homes in too narrow of a view to recognize how wide spread it is.

[1] https://www.mordorintelligence.com/industry-reports/global-s...
> in my org tickets overflow from one sprint to the next all the time, tickets get added mid-sprint

That's not Scrum then. You don't add stuff mid-sprint, that's the whole point. Unless the world is literally on fire, you don't touch the sprint content.

What's your scrum master doing when you get stuff added? It's their job to prevent it.

And if work overflows, you need to spend time grooming the tasks to manageable chunks and adjust the team velocity. You can always pick up more tasks if you run out of stuff to do.
Last 10 months we were running Agile Scrum, for rebuilding legacy app. It's an understatement to say we wasted so much time, and PO had so much trouble running that.
Neat little Elite, shame it has no arcade bits.
Ugh. Correlation not causation. Unless one of the major search engines is sending queries to OpenAI that were previously pointed at SO, this doesn't make much sense.

Perhaps the higher traffic in the past was from AI training bots, and now they're trained?
The ARI of the paper's 1400-char abstract is 25+ (disciplinary professor level)

The ARI of the article's first 1387 chars is 13+. (college freshman)

I'll admit I'm not up to speed on the 'Fenna-Matthews-Olson complex' OR 'accounting for intrachromophore electron correlation'.
Even though I hate Apple as a company, the one tech trend that they've championed that I'm all for is the quiet/fanless laptops.
1. OpenAI's APIs have only solved the language problem reliably for a relatively short time; it takes a long time to develop consumer hardware.

2. OpenAI's APIs are expensive, and building an alternative datacenter for running the open-source LLMs at scale is even more expensive (and probably not allowed under their licensing). And even bigco private LLMs like Bard are presumably pretty expensive for their creators to run. So, "the AI is free" model of Siri/Alexa/Google Assistant doesn't easily port itself to the newer tech.

3. If you try to avoid that by running the models locally... Getting reasonable performance requires expensive hardware, so something like a $49 Google Home Mini is out of the question for now.

I think it's super likely that at some point, the current generation of home assistants are gonna get walloped by the better AIs we've seen developed. It just hasn't happened yet; someone needs to a) do it, and b) figure out the pricing model — either offer enough value that subscriptions become worth it vs worse-but-free alternatives, or sell some kind of larger-use-case at-home-AI box running local models that can also do home assistant stuff.

Or just wait for the cost of running the models to come down, at which point you can just 1:1 port the current experience over, except you end up with much smarter assistants.
I worked in Kotlin and Java for awhile and the closest thing I had to a repl was stopping the debugger and running arbitrary single lines of code in the context I paused. It was awful compared to the clojure repl.
No? Bing Image Creator gives you 100 images per day. And if you use all the 100 images per day, it's still free, it will just generate the images slower (which is like... 30 seconds)
General response to this is assuming the contrarians don't like type or see no type benefit. But there are those who love static typing enough to dislike Typescript. It's ugly and unsound, how could someone loves static type to death likes Typescript.
This is... the least charitable possible interpretation of the current state of Bluesky and the AT Protocol. It's not wrong, but it's not clear that it will be right either.

Personally I would have preferred if they implemented federation before going into beta because that is the whole point of a decentralized network. But OTOH there is an opportunity right now to lure people away from Twitter and that opportunity may not exist in a few months. I don't think progressive decentralization, over a span of months not years, is inherently evil.
Humans can get used to a lot. There was an article about nurses in Baghdad hospital. They we joking and lough with hands covered in blood. When asked why, they said if they would be crying for everyone, they would be crying all days an nights. Life goes on. Not much can we do about covid, only check how the numbers were counted and compare with others. Like flue, crime, car crashes. These are more important because we can do something.
Using a throwaway b/c I have worked on wall st. in the past and may do so again in the future. Bank of America is the most likely bank of the big 4 US banks to explode from all this. They are sitting on 113.5 billion (yes with a b) in losses in the hold to maturity account. See page 110 of their most recent 10-K linked below. At this point the whole hold to maturity thing seems more and more like a tobashi, and we should just do what Europe does, mark everything to market, and force the banks to raise more capital with CoCos or something similar. Also note that all the other big 3 banks stock price popped after earnings, but not BoA. Second most likely of the big 4 is Wells Fargo, but that is due to commercial real estate exposure, which will take a couple more years to play out.

https://investor.bankofamerica.com/regulatory-and-other-fili...
https://en.wikipedia.org/wiki/Tobashi_scheme
I see a lot of about architecture, service design and complexity. One of the key missing piece is around Amazon culture. Promo-driven design is a real deal at Amazon. I am sure this design got someone promoted to principal engineer or higher. If you cannot build complexity into the design, how can you prove your caliber and get promoted.
It's about limiting the amount stuff under construction.

You got a list of shit that needs to get done. You have 5 people in the team.

On the Kanban board you can see how long each item has been in each column and you can see who's working on it.

You can also limit the amount of items each person can be working on simultaneously. It should be exactly one or you're multitasking, which isn't good for anything.

You have a single task you work on, when it's done you move it forward. If you get stuck you move it backward and comment on it why it's stuck and pick a new one.
The repl is great for understanding something quickly and easily. It works for big new parts of the code base and small things that you just need to be reminded about. The nice thing is, if you save your repl output, you can really easily create tests from it.
Is is just geeky or is there a deeper story ? I enjoy Ted Chiang, Robert C. Wilson, for instance.
> When watching direct comparison videos

Watch the digital foundry videos. If you watched the GamersNexus ones they are notorious raytracing haters and picked worst case scenes to demo path tracing for most of their videos (where the faked lighting looked as close to PT as possible).
Always funny these coincidences. I watched the Yip Yips other classic video with the telephone yesterday with my kids.

https://youtu.be/KTc3PsW5ghQ
> You'd just stumble over these non-trivial quest locations, and for me that's something I've not really felt in other games. Almost all just confine you to the narrow path.

It seems to be a casualty of the ever increasing time and expense needed to create a modern AAA game. Bethesda themselves are clearly suffering from this trap; their games are taking longer and longer to get released and get further “dumbed down” in each new title. I suspect this is one of the bigger contributing reasons for all the AAA studios going “games as a service”.

One bright spot: the, uh, upcoming Zelda title will absolutely scratch some of this itch. Somebody at Big N really took that “huge beautiful world, but mostly empty” BotW criticism to heart and sunk six years into addressing it. It’s honestly unbelievable.
It seems like they stuck with AMD and Intel's upscaling here because they were able to use the superior AMD debugging/instrumentation to examine what was going on in each frame. Nsight definitely provides less detail.
> The DID itself is derived from the sha256 hash of the first operation in the log. It is then base32 encoded and truncated to 24 chars.

https://atproto.com/specs/did-plc#how-it-works

They could be using public keys as identifiers, why are they using nonsense?
The comments gave several extremely good answers as to why that might be a dangerous idea.
CP2077 isn't really that poorly optimized at this point. People are usually judging the performance based on the launch version on consoles (very bad, but because it was unfinished) or PC with the settings turned up.
You can calculate the team velocity pretty easily in Scrum (amount of story points completed per sprint) and from that you can estimate what gets done in what time.

BUT it needs the exact same team to be together on the same codebase. You add or remove people, the velocity changes. You change projects, velocity changes.

People also need to be honest when estimating tasks, don't be a 10x cowboy and say something is a half-day task when you know it'll take two days.

It's always better to pick too few tasks for a sprint than it is to take too many. You can always grab more stuff off the project backlog if the sprint backlog runs out mid-sprint.
Given that it doesn't exist yet (and that the only comparable example was partially decommissioned), I don't think we're in a position to claim that the technology is ready.

We've barely had the "easy" wireless charging scenario (small, stationary devices, low power draws) for a decade; it isn't even remotely clear that vehicles sizes and speeds, clearances, road conditions, etc. have received adequate consideration yet.
Raster has decades of trickery built in. PT will catch up.
macOS installs now lean towards forcing you to connect to internet. Heh
I'm happy if it means I can have an ultra-quiet laptop without needing to tolerate MacOS.
> because of that they are tricking a lot of people into using them

This may come as a surprise.

But your average cool, interesting person doesn't care whether Bluesky has a decentralised protocol or the intricacies of its identity model.

The reason most people are using it is because it's the closest thing to a Musk-less Twitter.
Not super practical, but if you use Esphome and some cheap ESP-32 or ESP8266, it's pretty easy to get an LED blinking in HA.

If you want something more useful you could look at incorporating sensors like a thermometer, light sensor, soil moisture sensor, magnetic door sensor, etc and using the sensor data to set up automations in the HA GUI. Maybe something like "activate water pump when soil moisture sensor goes below _____" (you could get the parts to do this for maybe $20-$30 on Adafruit, or cheaper from Aliexpress vendors with super slow shipping).

To take things a step up from there, I built an Airgradient kit a month or two and really enjoyed it. Requires some soldering knowledge, but nothing you can't learn while doing (just start out by soldering the cheap parts in case of oopsies). You can even have your kid try to modify their PCB designs (nothing crazy, maybe just put their name on it)
And doing scrum right is better than doing kanban wrong :D
Saving repl output is a great way to make tests. It’s often the stuff that is confusing and likely to change that you exercise in that space so if you take what you find from there and make a test out of it someone will likely benefit later.
When I say "sits on top of" I mean in terms of the intellectual foundation. The reason why engineers can confidently say a bridge is safe is in large part due to the massive amount of pre-existing knowledge of mathematics, metallurgy, physics, geology, etc that they apply when designing such things. They are are building real-world things on top of existing human knowledge other humans figured out decades or centuries ago.

Economics just isn't as well grounded, so Banking is always going to be less certain - and perhaps, for that reason, should be far more conservative.
This is a good lesson. I've done a lot of pilot studies, prototypes, proof-of-concept experiments. It is scary^1 how many times "let's just get this tested and see if it even works" turns into "welp, that worked and we don't have time or funding to do another one, so that's the final version." The constraint is often time. Gotta get a product out, or run an follow-on experiment that depended on the first, or submit a paper or funding application, or whatever.

Test the thing you want to test!

1. Not scary like fear, just like, I don't know, astonishing.
Frame generation techniques like TXAA and DLSS can provide superior quality to standard rasterization since they're taking advantage of extra information from previous frames, along with information that isn't fully exploited during traditional rasterization (like motion vectors and the depth buffer). DLSS goes a step further by exploiting the ML hardware on the GPU for increased throughput.

Of course if you set the internal resolution to 720p it's going to look bad, but there are cases where DLSS quite literally beats native when the internal resolution is close enough. And TXAA when implemented right is just 100% an improvement over non-TXAA in every case I've ever seen.

(I group TXAA and DLSS together because, generally speaking, they are the same sort of thing)
To be honest, I'm not a fan of the path tracing in Cyberpunk. It might be more technically accurate, but it feels less artistically accurate because artists didn't make the original game with path tracing in mind. Maybe a future update can blend the tech and artistry better. That was my first impression when I was testing various settings with my new 4090.
> Well, the reason it shows "low contrast" on the page, is because the purpose of the page is to illustrate the low contrast problem.

No, those parts are done as screenshots. The places it’s complaining of low contrast are in the actual document and supposed to be high enough contrast.

> Not every website is designed for mobile - in fact there are usually two completely different websites for mobile and desktop.

This was never true. Websites that split desktop/mobile completely were always a tiny minority across the entire web, though a decade or so ago it was certainly absurdly common among big players. But fortunately those days are past, and the considerable majority of sites that ever had a hard split have unsplit.

No, in this case it’s just a badly-implemented website from an era where that didn’t matter quite so much, and they haven’t fixed it in the decade since.
Can confirm, it is quite painful.

The bpftools maintainers tell you to learn the bytecode format when you ask them what the errors mean, because they expect you to understand what the verifier means when it tells you "unknown scalar" on every single goddamn line of code.

Something like "ebpf coding rules, what to use and what not" would be very helpful.

All ebpf examples that are older than say, 3 months, already don't work anymore. Not even the official ones from the XDP tutorial project (and the libxdp maintainers because the kinda are splitting off a lot of headers into a separate xdp library as it seems).

Most userspace code still relies on the 5 years old bpf-helpers.h, which meanwhile is not supported anymore because it doesn't use the __helper methods from the kernel (they also refactored the kernel in the meantime, and force you to use e.g. __u128 instead of native data types).

Oh boi, did I underestimate what "bytecode vm" means when kernel developers talk about it.

Also, always use llvm, and remember to build two bpf files for each endianness, and use -g for debug symbols. Otherwise you will try to find out what the bpftool errors mean for days, because of shitty mailing list answers.
Rapamycin: The unlucky history of an anti-aging drug
People go to ChatGPT instead of a search engine...
Thread / matter network seems to be beginning to integrate connected home devices across the big cloud vendors.

Door & window sensors, temp/humidity sensor, lock are 'endpoints' and use low power, light bulbs & strips, switches act as mesh nodes.

Highly responsive and seems reliable. I use Apple gear.
You can visit https://csa-iot.org/csa-iot_products/ and see which devices have already got Matter certification (of the ones you listed, Samsung and LG which makes sense considering they also sell home appliances).

Then there's the likes of Ikea, also with their own line of smart home devices doing just fine as well.
https://archive.ph/00DRm
I could be totally off, but would it be possible to use fast storage such as multiple m.2 SSDs on an addin card like the Apex Storage X21/HighPoint SSD7540/ASRock Blazing Quad M.2 Card?
If latency is of high priority these options might still be lacking compared to RAM.
The underlying triangle here: Out of time, scope, and quality, you can pick two to specify but you can't constrain all three.

Scrum specifies fixed time and quality ("definition of done"), with scope as the flexible variable, as tasks get pushed out of each sprint.

Kanban specifies fixed scope and quality, letting time be the floating factor for each task.

Waterfall specifies fixed time and scope, with the inevitable result that quality has to give way.

There are some applications that Scrum does fit better than Kanban, notably anything tied to a real world calendar, say a scheduled live event or a school year or holiday or other seasonal concern. But yes, most businesses don't need to be time-boxed with Scrum anywhere near as much as they think they do, particularly given how much of that time is always consumed by organizational friction around the time-boxing negotiations.

(What happens if you do try to constrain and specify all three? We call that a death march. Actually, time invisibly flexes as workers cram in effort at a higher pace, until they burn out and then you're back to quality implicitly or time explicitly giving way unless you reduce scope.)
If you like the yip, yip muppets, check out this ante up compilation!

https://www.youtube.com/watch?v=ePjpxPWtmgE
Imo the big problem is that running the NLP for these devices is already expensive. Alexa lost $10 billion last year. I don't think the other smart homes are doing particularly well. Why would any VC want to get involved in this space when the largest tech companies have been in it for close to a decade now and are nowhere in terms of monetizing or even breaking even on the devices.

And then you realize transitioning the response to an LLM would make the device even more expensive and the business makes no sense at all.
So this is exactly the thing that I hated so much.

Click into the book list and you realize that there is at least 6 book on single topic and 90% of their coverage and explanation is literally the same. Then you have to dig every corner of those books to find out what you are missing.

You can never get a definitive edition of a math textbook that cover all topics and achieving teaching & show the formal proof simultaneously.

I can recognize 10~books on the list, and they are all not good. They just hide the most importance topics and proofs in exercises and of course no solution or guide provided. Good luck if you can learn any thing from math texts.
Do you think the Economist is unusual here? Journalists are overwhelmingly dilettantes even about subjects they have covered as a beat, with limited knowledge. That’s what journalism is.
Maybe I’m slow and stupid, can someone explain to me how new things will be introduced to new forms of LLMs if it all slowly becomes replaced by LLMs? It seems a bit like an ouroboros of human generated content consumption.

Also, SO is flawed that’s without a doubt, but it still even in the age of LLMs been really useful to answer questions that are somewhat tangential not pure code. I was having a problem with FairPlay DRM for live streaming with iOS 16 and SO had something to point me in the right direction. Chatgpt being trained on older data didn’t have the answer. What happens in the future???
> Some healthy standards & protocols that actually leave users in power would start to cleanup the toxic waste dump operating-regime these products are in now.

Like many vague complaints ostensibly concerning technology, this is a political issue and the solutions will remain fleeting and/or unidentified until the issue is acknowledged and discussed as such.
Apes as a whole only split from other monkeys around 24mya, and genus Homo shares ancestors with chimpanzees about 7mya. Evolution happens both incredibly quickly and incredibly slowly depending on what you're comparing it to.
For human to learn and try harder they need to be in harsh condition, to grow thicker skin. sometimes SO community do not give answer directly and harsh for stupid questions, which I did get harsh treatment when I was a kid and that push me to ask questions better also learn harder.
I am thankful for the way they did. Now things gonna be a lot easier for people and sloths and laziness gonna come with it which makes so easy for machines to win.