skysight-inc/HackerNews huggingface dataset:
ProRAW is just DNG with some additional metadata, and DNG can store actual raw sensor data, but Apple stores the semi-processed image after debayering and multi-exposure stacking yeah. The benefit is that it's 12-bit linear data so you get a decent amount to work with, and their automatic tonemapping is stored as metadata so it can be non-destructively tweaked or disabled in post.
If they weren't idiots they wouldn't be parsing data in the kernel level module
ChatGPT app idea: a tool that generates YC elevator pitches from a given blog post.
This is a bit of an unusual choice, but I recently was trying to use Webflow, and its videos are both highly informative and funny! Engineers often thumb their noses at videos, but they really show how to do it well:

https://university.webflow.com/videos
It isn't, the blog was just a high level recap of what I built, as I unfortunately don't have enough time to turn it into a product that can be used.

I'm very happy to see that someone is building it though, I really think that personal AIs/LLMs are the future.
> But as I try again, it's not reliable.

this is why I will never try anything like this on a remote server I don't control. all my toy experiments are with local llms that I can make sure are the same ones day after day.
One example:

https://www.theverge.com/2024/3/28/24114664/microsoft-safety...

> Three features: Prompt Shields, which blocks prompt injections or malicious prompts from external documents that instruct models to go against their training; Groundedness Detection, which finds and blocks hallucinations; and safety evaluations, which assess model vulnerabilities, are now available in preview on Azure AI.
Ask HN: Code copilot that autoloops unit test failures?
Is there a code copilot I can run that auto loops failures in unit tests, and after a few failures in a row, tells it to rewrite from scratch?

I know many people in big companies use AI to write unit tests (and I understand that for extreme ranges) but I am looking for using provided "input-output" fairs to develop functions and iterate over test assertion failures.

I use a few current ones but none seem to do this.

I would love even more if there is one I can connect to remotely somehow to insert code (e.g. provide unit test case data) and set it doing tasks. Quite often I am driving home and I think of a good unit test or could finish off some unit test examples before I leave at 5pm and would love the AI to finish that for me for the next day.
I was almost surprised that anyone printed that 'advice' but then I remembered it's ABC News Online, Australia's most trusted news service. It's probably a misquote and/or the person who they thought they were quoting actually died three years ago and had a completely different name.

In any case, barf me out. No way. Gag me with a spoon.
"So if it's one Raw sensor frame, it will be noisy,"

That is not why noise is created in digital photographs. And Noise or Grain in a photograph is not always a negative.

"Noise in photography is the arbitrary alteration of brightness and color in an image. The onset of this random variation generates what is called “noise”or “grain”, which is basically formed by irregular pixels misrepresenting the luminance and tonality of the photograph. These pixels are visible to the eye due to their large size."

A signal RAW image does not have to have noise. Noise can be created by incorrect exposure and low light.

>Or you could store one post-processed frame, after you have combined 128 frames and done the computational photography stuff. But at that point, it isn't exactly raw data anymore.

Yes, and Apple should not be calling any images it captures from an iPhone "RAW".
For me it's the Django docs.
I use metaphors far too frequently in spoken conversations, and I have learned that it’s often more effective to cut bait (there’s one!) than to try to transition to a new metaphor mid stream of consciousness.

So they are useful, but I’ve noticed weakness in using them as well.
I'm not saying this is necessarily accurate, but could it be inferred from the article that this loophole might act like a Denial of Service (DoS) attack on the mail inspection system? Similar to the overwhelming number of security log entries that no one reads?
Haskell has a “safe” language dialect which prevents `unsafePerformIO` and others: https://downloads.haskell.org/~ghc/7.8.3/docs/html/users_gui... / https://simonmar.github.io/bib/papers/safe-haskell.pdf

However, I doubt Safe Haskell (without extensions) is formally verified, and it still uses GHC’s runtime, which could have RCEs. Also note that it doesn’t prevent infinite loops or memory exhaustion, the latter even during compilation.
One way to think about this silly math in reverse:

Split-adjusted, Amazon IPO’d at $0.075 a share. If instead of raiding my $3 piece of Jeff’s billion, I had the good sense to give him that pittance 25 years ago, it’d be worth $7,400 today.
Off the shelf commodity home NAS systems with ZFS onboard?

eg: https://www.qnap.com/en-au/operating-system/quts-hero

IIRC (been a while since I messed with QNAP) QuTS hero would be a modded Debian install with ZFS baked in and a web based admin dasboard.

https://old.reddit.com/r/qnap/comments/15b9a0u/qts_or_quts_h...

As a rule of thumb (IMHO) steer clear of commodity NAS Cloud add ons, such things attract ransomware hackers like flies to a tip whether it's QNAP, Synology, or InsertVendorHere.
I looked at the supposed “research” article, there’s nothing to read except few charts to show off the “improvements” over current models. No discussion of the training method or dataset whatsoever.

If I remember correctly, the last decent research paper the company published was probably the InstructGPT paper.
"Designed" is not right. What gives "AI models" (i.e. deep neural nets) a hard time is that there are very few examples in the public training and evaluation set: each task has three examples. So basically it's not a test of intelligence but a test of sample efficiency.

Besides which, it is unfair because it excludes an entire category of systems, not to mention a dominant one. If F. Chollet really believes ARC is a test of intelligence, then why not provide enough examples for deep nets or some other big data approach to be trained effectively? The answer is: because a big data approach would then easily beat the test. But if the test can be beaten without intelligence, just with data, then it's not a test of intelligence.

My guess for a long time has been that ARC will fall just like the Winograd Schema challenge (WSC) [1] fell: someone will do the work to generate enough (tens of thousands) examples of ARC-like tasks, then train a deep neural net and go to town. That's what happened with the WSC. A large dataset of Winograd schema sentences was crowd-sourced and a big BERT-era Transformer got around 90% accuracy on the WSC [2]. Bye bye WSC, and any wishful thinking about Winograd schemas requiring human intuition and other undefined stuff.

Or, ARC might go the way of the Bongard Problems [3]: the original 100 problems by Bongard still stand unsolved, but the machine learning community has effectively sidestepped them. Someone made a generator of Bongard-like problems [4], and while this was not enough to solve the original problems, everyone simply switched to training CNNs and reporting results on the new dataset [5].

We basically have no idea how to create a test for intelligence that computers cannot beat by brute force or big data approaches so we have no effective way to test computers for (artificial) intelligence. The only thing we know humans can do that computers can't is identify undecidable problems (like Barber Paradoxes i.e. statements of the form "this sentence is false", as in Gödel's second incompleteness theorem). Unfortunately we already know there is no computer that can ever do that, and even if we observe say ChatGPT returning the right answer we can be sure it has only memorised, not calculated it, so we're a bit stuck. ARC won't get us unstuck in any way shape or form and so it's just a distraction.

_____________________

[1] https://en.wikipedia.org/wiki/Winograd_schema_challenge

[2] WinoGrande: An Adversarial Winograd Schema Challenge at Scale

https://arxiv.org/abs/1907.10641

Although note the results are interpreted to mean LLMs are more or less memorising answers, which is right of course.

[3] Index of Bongard Problems

https://www.foundalis.com/res/bps/bpidx.htm

[4] Comparing machines and humans on a visual categorization test

https://www.pnas.org/doi/abs/10.1073/pnas.1109168108

[5] 25 years of CNNs: Can we compare to human abstraction capabilities?

https://arxiv.org/abs/1607.08366
Well there are lots of breakout/dev boards these days that do make it possible, but for something like adding an indicator LED I'd rather reach for an ol' 1/4W resistor than those ridiculously tiny SMD specks. But in general modules like the CD4051 mux, SS49E hall sensor, 74AHCT125 level shifter, etc. Cheap and super reliable stuff.

I admit I'm really crap at accurate soldering so it might be more of a me issue, but I doubt I'm entirely alone in this.
Halt and Catch Fire 10 Year Anniversary – ATX TV Festival [video]
Computers aren’t the thing. They’re the thing that gets you to the thing.
With all due respect, I regret to inform you that your linguistic trendiness has been mogged (blud is seething rn) and your sanity fanum taxed by W rizzlers ong fr fr so scuff no cap
> The excitement I had as a 14-year old in 1979 trying to understand everything there was to know about computers, because this was something that could radically improve people’s lives, I just don’t get anymore.

Confirmation bias on my part: this feels like the core point.

Maybe I just grew up at the right time: the Internet was becoming ubiquitous; the iPhone hit right in my teens; social media - for better or worse - slightly earlier.

Technology was radically radically changing and improving peoples' lives and that was inspiring.

I don't see it doing that anymore. And so goes the inspiration too.
It gets funnier:

> (…) position yourself as close as possible to a group of young women and then shut your eyes and listen.

Like a cartoon character faking being asleep. Yes, I’m sure those teenagers won’t find that creepy or weird at all and will continue speaking as if you weren’t there.

Though in fairness, they’re quoting a woman. Maybe the interviewer was also a woman and they were really speaking one-to-one, not thinking that specific section would be quoted.
Its users?
> "Women seem to have an innate linguistic ability that's superior to men's," she says.

Imagine saying that, but in reverse.
Documentation for Wolfram Language:

https://reference.wolfram.com/language/

It's detailed, complete, shows many examples for commom use cases, 'neat' examples showing what's possible, and lists down possible issues. I do see certain documentation quality issues sometimes.

The documentation itself is done using the features of Wolfram Language, so the examples can be run inline (depending on the platform).
Yeah, I didn't think you said that. But you did say "Instead, I need:" and I believe that IF you already know the "basics" you actually don't really need the tutorials you mentioned. All you then need is maybe to know "which http library should I pick" and the rest would be pretty clear from that libs documentation already.
Gotcha, good point. It doesn't request any sensitive scopes tho. There is also credentials login.
It's not.
a) compression can be lossless.
b) RAW is not about storing literal photons ADC measurements. It always has "some" processing as those always go through an ISP. We can obviously discuss which processing is the cutoff point and it will differ for different applications, but typically this would include things like clipping, sharpening, or denoising. And even some pro DSLRs would remove row noise or artifacts in supposedly "RAW" files!

If you can change the exposure or WB - it is what is the minimum practical/useful definition of a RAW.
I haven't done serious frontend web dev for a while, but MDN was consistently excellent a few years back.

https://developer.mozilla.org/en-US/docs/Web/JavaScript
“Tainting” the kernel doesn’t affect operations, though. You’re not allowed to redistribute it with changes — but you, as an entity, can freely use ZFS and the kernel together without restriction.
Linux plus zfs works fine.
Lossless compression is still compressed. RAW photos are by definition not compressed. I do not care if you take out redundant bits, you are still taking them out.

"Lossless compression uses an algorithm to shrink the image without losing any IMPORTANT data." and the algorithm decides what is important.
See also https://github.com/attractivechaos/plb2 ...where I provided the SBCL solutions, so there's probably still a significant chunk of performance to be squeezed out.
> Phrases that are "out": no cap

Time to update, ser
Without even having to secure it?
Looks like it's that mind virus that actually got to him
The best one for web apps (not landing pages) is Achromatic.

Website:

https://achromatic.dev

"Acme" demo:

https://demo.achromatic.dev/

Packed with essential features (~40k SLOC) and updated frequently with a focus on quality over quantity. It's built with Next.js 15, React 19, Auth.js 5 and shadcn/ui - fully embracing RSC and server actions. Besides that I'm adding regularly important application components like TreeView, ColorPicker or RichTextEditor:

https://achromatic.dev/docs/components

It's fairly new, I've launched it less than 3 weeks ago, but already got over 40 customers in that short amount of time. I run a SaaS myself and took quite a lot of components from there and also help customers/partners getting their SaaS started via Google Meet. Also there are 4 freelancers in the US, Germany, India and France who use the boilerplate for their client projects. The license is very business-friendly and allows unlimited developers and projects.
Kinda sidebar here, apologies, but a question for any DSLR/Mirrorless owners out there:

I've always been frustrated by the reach of phone cameras and finally got a mirrorless and 100-400 lens. It is an aps-c so the equivalent max focal length is 640mm which has been great for wildlife or some long views out on a hike. The sensor is 32.5MP which knocks the socks off my old iphone 12 pro, however this new 16 (or maybe it started with 15?) is 48MP.

Now I know its going to be unlikely we see a phone camera with the reach - but what about landscape photography? Would a 16 pro on a tripod be able to compete with real camera gear. I assume you can focus stack or bracket with ProRAW? This hobby is expensive and just trying to decide if I invest in a lens (my only other one is the kit lens) for landscape.

Final output would be for a 4k tv (samsung frame is nice for that) or possibly print
I was quite pleasantly surprised by the quality of AWS docs, especially coming from Azure. A part from that, as mentioned already: Django.
(Disclaimer: this is a joke)
I can recommend it, it's the best for Laravel!

If you are more a Next.js guy, check out https://achromatic.dev
Begun, the open source AI wars have.. This is going to be ugly. Really ugly.
Stripe is still the gold standard for me. But I'm interested to see what this thread digs up.
Based on article [1], ProRAW is a half way between plain RAW output from sensor and baked in jpeg. It uses computed multiple-frame result, but stores more data, allowing you to recover details from shadows and do other things you typically use RAW for. Debayering is performed (nobody cares about that anyway), multiple frames are combined but higher bit-depth is preserved (12-bit instead of 8-bit), it also contains separate "tone map" which describes HDR gains (for each pixel?). Disclaimer, zero experience with ProRAW, just glanced at that article, but used RAW on DSLR in the past.

[1] https://medium.com/halide/understanding-proraw-4eed556d4c54
How the hell is Anthropic this far ahead? I am yet impressed
Reminds me of Oracle Apex a bit, just more modern.
>If you can change the exposure or WB - it is what is the minimum practical/useful definition of a RAW.

No. No it is not at all. Are you a photographer? I am not talking about processing before the photo is saved, I am talking abot the compression of the save file.

Are you trying to tell me that these are the same?

RAW
"A camera raw image file contains unprocessed or minimally processed data from the image sensor of either a digital camera, a motion picture film scanner, or other image scanner. Raw files are so named because they are not yet processed, and contain large amounts of potentially redundant data"

JPEG-XL
Lossless compression uses an algorithm to shrink the image without losing any IMPORTANT data.
BuildBuddy

https://www.buildbuddy.io/docs/introduction/

I don't think I ever had a case that wasn't covered in the docs.
Bit of a tangent, but I recently learned of "quiet eye" and how it is studied to improve aiming in sports.
Journalism these days I guess.
Explain what a Linux command with given options does
And create a link to explain that command to others
Lossless formats can compressed: take FLAC as an example.
> I never had the guts to try btrfs in production after all the horror stories I've heard over the decade+.

I've been running btrfs as the primary filesystem for all of my desktop machines since shortly after the on-disk format stabilized and the extX->btrfs in-place converter appeared [0], and for my home servers for the past ~five years. In the first few years after I started using it on my desktop machines, I had four or five "btrfs shit the bed and trashed some of my data" incidents. I've had zero issues in the past ~ten years.

At $DAYJOB we use btrfs as the filesystem for our CI workers and have been doing so for years. Its snapshot functionality makes creating the containers for CI jobs instantaneous, and we've had zero problems with it.

I can think of a few things that might separate me from the folks who report issues that they've had within the past five-or-ten years:

* I don't use ANY of the built-in btrfs RAID stuff.

* I deploy btrfs ON TOP of LVM2 LVs, rather than using its built-in volume management stuff. [1]

* I WAS going to say "I use ECC RAM", but one of my desktop machines does not and can never have ECC RAM, so this isn't likely a factor.

The BTRFS features I use at home are snapshotting (for coherent point-in-time backups), transparent compression, the built-in CoW features, and the built-in checksumming features.

At work, we use all of those except for compression, and don't use snapshots for backup but for container volume cloning.

[0] If memory serves, this was around the time when the OCZ Vertex LE was hot, hot shit.

[1] This has actually turned out to be a really cool decision, as it has permitted me to do low- or no- downtime disk replacement or repartitioning by moving live data off of local PVs and on to PVs attached via USB or via NBD.
Until you have reform in the sense of replacing the First-past-the-post voting with a more representative system that allows the survival of more than 2 centrist parties, or have a system where there are meaningful referendums at a meaningful frequency, then where is the value of being "politically informed" on new/current politics?

Democracy in many western nations, at least in the US, is more or less an illusion of choice. Being sucked into the liberal/republican squabbling, drama and even the occasional political issue is nothing more than mere entertainment for the peasant class. For lobbies and corporations, who actually have much more leverage into governance, then yea being politically informed for them is prudent.
Strictly speaking, buttons aren't typically hypermedia controls. Haven't read the paper yet but the only controls in HTML are links and forms. Buttons can be nested inside those as actuators but aren't controls unto themselves since they don't meet that functional requirement of sending a request to a URL and inserting response content into the viewport.

EDIT: It seems the authors also consider images and iframes to be controls since they also make requests and add content to the viewport.
Emmet Brickowski furniture idea: Double-Decker Couch.

https://www.youtube.com/watch?v=is0tzNUZwF4
You might also be interested in Dr Geoff Lindsey's video on 'vocal fry'[0] which is a linguistic phenomenon also associated with young women (although it isn't that simple). Dr Lindsey's channel is totally bitchin' like you wouldn't believe. You'll love it! I'm sure.

[0] https://www.youtube.com/watch?v=Q0yL2GezneU
I'd add Terraform documentation to the list
I'm not sure that's a good idea, as this makes the seas acidic and marine life won't like that. The only way to reduce emissions is to use less fossil fuels.
That’s not a particularly strong argument considering the state of some of the items in the British Museum.
It’s also one of the the most American-sounding statements I’ve ever heard.
> more effective to cut bait (there’s one!)

I have no idea what you mean by this, I can't even figure out roughly what you mean from context, so I guess that's a weakness of them for a start.
Why don't you just use the timeline with people you follow?
How does the helium stay in if it is not sealed? I am not familiar with hard drive construction, but helium is notoriously good at escaping.
When I was in my 20s I rode the coast of California. I did back-to-back centuries (>100 miles) for maybe 4-5 days in a row at one point. Granted that was self-supported, with loaded panniers front and back, but I can't imagine doing 170 miles per day for months on end.

I'm curious how much route was a factor here. In the Race Across America (RAAM) they've used several different routes, and even apart from distance it's clear that the fastest route is 10-20% faster than the slowest they've used.
This is a great marketing for Anthropic
Yes.. I agree to the example and reasoning in the article, but on the other hand metaphors can simplify things too much, and even tell lies. E.g. politicians using them is the prime example. Thus, not convinced...
> people who rip on powershell but prefer bash make no sense to me at all

They're used to it, that's all. Just like how people used to US Customary find SI units weird and confusing.
I ask LLMs to modify the shell script to strictly follow Google’s Bash scripting guidelines[^1]. It adds niceties like `set -euo pipefail`, uses `[[…]]` instead of `[…]` in conditionals, and fences all but numeric variables with curly braces. Works great.

[^1]: https://google.github.io/styleguide/shellguide.html
Are there any cameras out there that output real raw data from the senors?

There's quite a bit of analog and digital post processing and I doubt you can bypass all of it
> Sunamp’s thermal battery are three compounds: sodium acetate trihydrate (SAT), a food flavoring used in salt-and-vinegar potato chips; water; and a sprinkling of so-called crystal habit modifiers

In case you didn't want to parse the entire backstory of the company's founding to find out.
Even worse, it mimics it poorly, hardcoding the PS4 to the default.

The author could also consider trapping debug to maybe be selective while also making it a little more automatic.
No. Tiny sensor, can't use grad NDs, wide angle camera even worse, relies on intense computational methods for dynamic range that will destroy the specific light and time character of landscapes.

Making prints, especially large prints, requires high technical quality images that phones can't provide.
Lenses are definitely a factor in “quality” of photos, so some situations are impossible/hard to recreate with mobile phones.

What mobile sensors will never achieve is fast shots in the dark. It’s physically not possible. While “night modes” are impressive, even with long exposures you will not get the same quality as an actual DSLR with a tripod.

Megapixels aren’t important unless you crop, zoom digitally or print.