skysight-inc/HackerNews huggingface dataset:
Yeah, I see this helpless, "leave it to the experts" attitude in a few places, and absolutely hate it.
In actual cases of exploitation the victim is not always the technical rights holder and there are many reports of people who inform Pornhub of being in a video they do not consent to and it not being taken down.

I would argue that Pornhub is trying though, whether it's their best effort I don't know.
Chegg Integrates ChatGPT4
Thinking purely using a non legal mind trying to grasp legal concepts:

If source code is akin to a machine whose inner workings can be patented, then data is akin to a physical object. A physical object could be a machine or it could be a creation made by a machine or both. Data is similar - it can be made by software or it could be software or both.

Is this the right way to think about how the legal system views software and data?

PS I’m in the US but interested to hear how this may vary from one country to another.
> I’m moving a bunch of cash over once I set it up

Perhaps I'm misreading the article, but isn't this just for Apple earned rewards, not as a general savings account?
The weight matrix's rank would decrease for each feature in the target space that cannot be expressed as as a linear combination of features in the input space (plus a bias). For example, if the target space has a feature representing a non-visual quality like "smelliness," it would not be expressible as a linear combination of features representing visual attributes like "redness," "blueness," and "greenness," etc. in the input space.

If both spaces have the same dimensionality, the learned weight matrix would be full-rank only if every feature in the target space is expressible as a linear combination of features in the input space (plus a bias). Which brings me back to my original question: WHY would that be the case when the two models are trained independently on data that is so different?
> take BLIP2's ViT-L+Q-former

This thing takes an image and creates a representation matrix.

> connect it to Vicuna-13B with a linear layer

Vicuna is an open LLM, pretty good quality, not as good as GPT3.5 though.

This is the beautiful part - a mere multiplication is enough to convert the image tensor to text tensor. One freaking line of code, and a simple one.

> and train just the tiny layer on some datasets of image-text pairs

You then get a shitload of image-text pairs and train the model to describe the images in text. But keep both the image and text model frozen. Is that hard? No, just flip a flag. So this "linear projection layer" (a matrix multiplication) is the only learned part. That means it takes less time to train, needs fewer examples and requires less memory.

Training the image and text models was much more difficult. But here we don't train these models, they use them as ready-made parts. It's a hack on top of two unrelated models, so it is cheap.

In the end the finishing touches - they label 3500 high quality image-text pairs, and fine-tune on them. Now the model becomes truly amazing. It has broad visual intelligence, and scooped OpenAI who didn't release Image GPT-4 in the APIs yet.

The important lesson to take is that unrelated models can be composed together with a bit of extra training for the glue model. And that open AI is just as powerful as "Open"AI sometimes. It's breathing down their necks, just one step behind. This model is also significant for applications - it can power many automations in a flexible way.
Feedmaker: Quickly generate an RSS feed from any website
For all of that: Jotai
That's not an apples to apples comparison. It's more like people shafting themselves for not evaluating the space of money market savings accounts. You can stay with the same bank and go from a 0.01% rate to 4%+.
Vercel also employs Rich Harris the creator and driving force behind Svelte and Sveltekit. I highly doubt these are top down decisions to pump usage of Vercel’s platform. Nothing forces users to use Vercel at all.
Save some money and go 3090, same vram, speed difference probably isn't worth the premium for the 4090. Then upgrade when the rumored 5090 generational leap happens.
Nit:

> If medical doctors were routinely taught something wrong and contrary to the published research at medical schools, we'd probably be thinking about a similar suit

But we don't see one with respect to popular nutritional advice, which is in a very dismal state with the old food pyramid being promoted as the way and no one can agree on anything because nothing is reproducible.

So, maybe not the best analogy.
People bought into the seductive lie of fairness is what happened, even when the sentiment was the opposite.

Compare "blood is thicker than water", which was rooted in the opposite conclusion, that the blood of the covenant is thicker than water of the womb, i.e. your relationships and social bonds outcompete genetic ties.

The failing of meritocracy is that it is tautological; those who succeed did so because they must have been successful. It can't bear scrutiny because, as it turns out, we can have neither fair nor equal grounds for competition (if we're measuring results as comparative, which is the case here), but people secretly desire unfairness as long as there's a chance they will benefit, even if they are not the beneficiary of a given instance or result. See monarchies, lotteries, CEO pay discrepancies, etc... what matters is there was an arbitrary chance you're dealt out at the top.
It's a huge difference. It's the difference between negligent homicide and murder. Both legal and moral thinking distinguishes between these two concepts.

It's fine to note that they are both bad and both mean culpability and liability, but pretending they are literally the same thing is the worst kind of rhetorical device.
Even though I have invested heavily in Apple's sandbox world, I am very impressed by ChromeOS and inexpensive Chromebooks by 3rd parties. I have close to the cost of a car invested in Apple gear, yet, if I had to I could do all of my writing and coding on the very inexpensive Lenovo Duet Chromebook I bought a year ago. The Linux container support is OK, and I usually use remote servers anyway.

For search, Bing + ChatGPT is now my driver for search. I still use Google and Duck Duck Go occasionally, but usually I am OK with waiting a short while for Bing + ChatGPT results.
Sorry but I believe you have the misconception, at least under US copyright law. There's some extra penalties for commercial use, but there is no general fair use exception for non-commercial use (as apposed to say educational use, which does have a general exception). Feel free to cite a statute or caselaw if I'm wrong.
Meta is collecting data from people using its products to create targeting-models for advertisement. An Advertiser can then buy ads targeting a specific audience. Companies really want the individual user-information to cut out Meta, but Meta is not sharing it to the advertiser, they have to go through Meta to reach their audience based on Personas they curate.

Now Apple owns the underlying Hardware and tracks usage of every single application and service on top.
How exactly is Apple expected to operate their advertising business if NOT with the very same method as Meta/Google (creating personas, selling them for ads)?
Spend more, and use their devices a lot more, both Web and Apps. At least, last time I looked at market research data like this, which was admittedly 4-5 years ago.
Their fans don't really care in my experience, so there's no actual PR cost. "I can't believe they shut down another Smash tournament! ...but I'll still gladly pay for Ultimate a second time to get the DLC." I know a lot of people who both think they're a terrible company and can't wait to buy the new Zelda from them.
Did you used xlC tooling on Aix?

Just curious how they have changed since RS/6000 days.
Good. Samsung is removing that blogspam of a search
Hi Vanderson, I am surprised to hear mention of Engelmann here on HN :). I would love to connect and learn more about how you discovered DI. FWIW, I am a former principal engineer at a FAANG company turned educational researcher / edtech founder. I am working to revive Engelmann's Theory of Instruction and democratize access to the explicit, systematic teaching of the skills of reading (e.g., phonological awareness, decoding, and sight recognition).
How much do you want to spend? How many pins? How much unused I/O? What FPGA family? What ball pitch? What trace width?

Blind and buried vias open up a whole world of space if you're willing to spend for them.

You may just need to add more layers.
This has been described in many variations on HN, what puzzles me is why the early, loyal, employees didn't point out this dynamic developing.

Or if they did internally, why the Board decided to ignore the most loyal and proven.

Googler #1 to #1000 were clearly not fools, and by the 2010s they very likely had enough credibility to be taken seriously if several dozen of them said this.
I'm pretty surprised that the frozen encoder has enough information in its representations to do the "design the website from a hand-written whiteboard mock-up" task, and that that information can be effectively accessed by the language model with just a small projection layer. I really would have guessed that you needed to be training the image encoder simultaneously.
Yeah. Tried to get mine to ride a bike at 3.5 and he kept falling over. Now he tries again at 4.5 and he just immediately drives away.
Microsoft bought it a bit over 7 years ago and now they added another new feature to it. So we are at the extend stage now or?
> You’ll never get them to peer openly

Maybe I’ve got it wrong, but don’t my peeringdb links suggest Bell and Telus do peer openly, but only on US soil?

https://news.ycombinator.com/item?id=35595697
It's likely you got lucky or your state / school district already changed the curriculum.

The podcast goes into how over the past few years, there has been a lot of activism to shift schools from cueing back to phonics. At various levels of government, including state laws.
I've tried this book. My son won't follow the instructions exactly. And the book makes it clear they must be followed exactly. i don't know what to do.
If you want to define exercise of the right of collective self-defense against aggression as “support for war”, fine, you can have your own private language.

But now explain why that, in the face of actual aggression and genocide, is a bad thing compared to the alternative?
Having trouble squaring that with Wise, Revolut, Monzo, Starling, etc. I also don’t think I’ve ever visited Barclays — where I have my primary UK current account — in person ever, other than setting up the account ~10 years ago
I love Google Docs and Sheets and hate Word and Excel.
I wonder if risc-v is much faster to boot since the architecture doesn’t come with all of this legacy cruft that x86 needs to deal with?
virtually all software patents are CRP. You almost never see source code, as I said in the article.
I try to always give Bing+ChatGPT chat or search results a thumbs up or a thumbs down. I am using the service for free, so it seems fair for me to take a moment to provide feedback.
Dominic is going to work on the Svelte team at Vercel according to his Twitter. https://twitter.com/trueadm/status/1640761270566633472?s=20
Experiencing homelessness for one night is very different than the chronic homelessness which people are picturing. That second population is much smaller and way more visible.
I like that it's inline with the search results. That's something I don't like about Bing's chat, you either have to search the web or ask chat. It's not as seamless.
Maybe you’re right on rereading. Unclear at a minimum.
Of course this is true, that is why it's a real threat when a company like Samsung, with the resources and money to make these things convenient/unnoticeable to normal users is a real problem to Google
The same point applies to the phrase "something rather than "nothing." It's not a general concern about "why" questions but a concern about applying quantification to non-specific things.

Quantification in the abstract typically falls under mathematics. This is what we have numbers for. But people make sense of "something rather than nothing" as if it's more than abstraction. People think they understand what they're talking about, but they really don't (literally, not figuratively).
I'd dispute your characterization of the NEPC summary as well-reasoned. It's definitely a different perspective, but it's clear in a preference for valuing the experience and beliefs of "literacy scholars" over any sort of evidence that could contradict them. It does seems like a good view of the education institution's side of this argument.

It is careful to point out even minority criticism of phonics-centered instruction, while suggesting that disagreement with cueing approaches is a result of misunderstanding. It explicitly devalues "narrow" "experimental and quasi-experimental research" in favor of
"decades of classroom-based and other forms of qualitative research" (how long has the experimental research been going on?). Even the naming feels slanted: the cueing approach gets called "whole language" or "balanced literacy" while opposing views start with "simple view of literacy". The "structured literacy" section ends with "although literacy researchers caution there is
still much to learn about the brain and learning to read", while the cueing summary is free of similar caveats and emphasizes that it can adapt to individual students, as if other methods couldn't.

Ultimately it makes no actionable recommendations for what should actually be taught, except that no particular method should be mandated or banned, and that education should be "student-centered" (curious about the alternative...).
Hi numeromancer, I am surprised to hear mention of Engelmann and Project Follow Through here on HN :). I would love to connect and learn more about how you discovered DI. FWIW, I am a former principal engineer at a FAANG company turned educational researcher / edtech founder. I am working to revive Engelmann's Theory of Instruction and democratize access to the explicit, systematic teaching of the skills of reading (e.g., phonological awareness, decoding, and sight recognition).
Yes, unlocking bootloaders the moment you stop shipping updates would be an absolute no-brainer to require imo. I've so many older Android phones floating around that would still make for great backup phones or dedicated usage for stuff you don't want on your main phone, but they're stuck with horribly out of date Android versions.
Why not just go with MongoDB. MongoDB is webscale.

(Meanwhile a senior dev in iowa is picking up cow shit, and not regretting his career change).
Rote memorization messed me so bad it made me miss my first year of elementary school.

Without going phonics thereafter I would probably have ended up as completely illiterate before middle school.
It's not illegal to travel large distances within the USA while carrying large amounts of cash. But it is extremely risky to do so because it can be seized by any number of law enforcement agencies and will leave you with little to no recourse on getting it back.

Somehow, law enforcement seems to be aware of when a large cash withdraw was made recently. The only time I was ever asked during a traffic stop, "are you carrying with you a large amount of cash" was about a week after I withdrew $12k from my bank account (and signed a buttload of forms for the privilege).
> Or music notation vs piano keys - mapping keys to notes is needlessly complex, requiring both a flip and a rotation. (By far the best notation would be vertical, with frequency still increasing to the right in both forms - which takes into account right-hand dominance prevalence and musical taste that wants repetitive bass.) How many kids were and are turned off by this notational horror, and don't get into music at all simply because their (quite correct) aesthetics are immediately violated by arcane music notation?

While I am not a experienced musician, there seems to be a clear trade-off here. The mapping to any single instrument's interface isn't immediately obvious, but it allows me to read music written for piano and play some of it on my cello without having to know how piano keys are arranged. Compatibility between music notation across instruments is IMO a really cool feature.

Edit:
>Don't get me started with German grammar, especially the way prepositions conjugate with the (arbitrary) gender of the noun, and the various types of prepositions reuse the same conjugations. It's clearly a language designed to detect foreign speakers and berate them.

Even as a native German speaker, I agree that German grammar is ridiculous. At least Germany reformed their spelling though and made it more consistent. It was quite controversial, but allowed me to get decent spelling grades back in school. Till the reform, I always lost points in exams that weren't even about spelling because I made so many mistakes.
From the his wikipedia page [0], he seems to have spent at most 4 years actually teaching (from "early 1960s" to 1964), was a marketing guy among other things before that, and spent a long career writing eductation books and articles and seminars after that.

You have valid point on his work being assessed and valorized in studies, but parent's point also stands stronger in my mind. The ratio of actual experience in the field vs spending time telling people what to do is pretty surprising.

[0]
https://en.wikipedia.org/wiki/Siegfried_Engelmann
The recipe says to make a broth, cook the noodles in the broth, then throw the broth away and add the noodles to a pan with meat. You'll end up with burned crispy noodles and meat in a dry bowl.
> the free market failed to implement a meaningful competition for central app stores.

I don't want every component of my phone OS broken apart and subject to what some legislator or lobbyist thinks is 'competition'. The competition is between Apple and Google making mobile platforms and we already had a choice.

I chose Apple's approach after a few years with Google. I miss the headphone jack, but having no tacky tracky shit shovelled throughout the OS is nice.
My kid is six and can read 100+ page kids books in about an hour (she doesn't do this super often though). It wasn't too hard to teach her to get there either, but repetition is key.

We started when she was 4 by reciting all the sounds each letter could do each night. It used to take us almost an hour to get to Z, but eventually she got it down fast. I tried to make it as fun as possible. Then we would do two to three letter words and have her figure out the words by using those sounds (sometimes trying various combinations until something made sense). We did that a few nights each week for a few months while she was playing. You can't force it, but I could usually get a few words in here and there. Then we started very simple sentences with the various Bob, Learning Dynamics...etc books. This was a big shift, but became easy soon enough. After she got through ~50 of those short little books, we moved on to the beginning chapter books when she was almost 6. She could earn certain privileges like TV if she reads a book. I kept reading to her (story time) as well each night. She's in kindergarten and reads like a champ now. Her school work goes over additional phonics stuff which is good to fill in any gaps she got from my very non-academic methods (I never really learned the rules as a kid...I just liked reading and I guess picked things up organically). It's pretty cool that she can pretty much just read anything now that isn't a very unusual word you just have to know. She sometimes guesses at words though that are wrong, so we're working on slowing down a little bit.

It's a balancing act though. You don't want to make it such a chore that they don't want to read later, but I just don't think the math and reading is very good at school so far, so I'm trying to supplement. Spending a few hours on reading and math outside of school each week seems to eat up a small amount of free time, but lead to big successes.
From the outside, Alphabet seems to do a very good job when it comes to engineering. They have very little downtime, fewer embarrassing security moments than most, youtube is far better technically than the competition, etc.

It's just that they aren't building things that people want to use, but that's a failure of management and incentives.
In 1900 the literacy rate of the US was roughly 20%. Over the next century states and the federal government introduced mandatory educational requirements and expanded access to public education. By 2000 literacy is north of 80%.

Do you think literate citizens are less free to make choices than illiterate ones?
right, and next week's article is going to be about that (sort of).

The Facebook patent whose diagram I showed was all filed after the Alice decision that was supposed to clear out bad software patents.
The podcast goes into how this is exactly wrong. For phonetic languages, kids best learn to read via phonics.
On some things but not others. E.g. OS protections don't limit against things like "Displaying targeted advertisements in your app based on user data collected from apps and websites owned by other companies." as it's not something the OS can really know is happening, just that there are ads being loaded.
Perhaps, but what I was emphasizing was that on iPhone such apps will likely not come pre-installed; neither by Apple (vs e.g. Samsung) nor by a carrier because I seriously doubt Apple would allow that.

Instead, what Apple is doing is finding a new balance that appease those who are attacking the legitimacy of the App Store (and its toll booth) while in practice the vast majority of iPhone users will retain their privacy.
Unless something changed, I thought it was that they literally cannot legally release the weights that are based on LLaMA (except maybe with an xor thing) so they’re going to train it based on something else
Based on jmwilson's article above, it seems you can end up with nasty resonances. With other capacitor types that have more ESR, they dampen out the resonance peaks.
among experts

...and the policies that lead to the situation in the article were also developed by "experts".

The amount of political ideology surrounding this stuff is immense. The truth is black and white (pun intended) but people don't want to see.
That is assuming that the only reason the government wouldn't pay out FDIC insurance is collapse of the dollar (or that refusal to pay would cause the collapse of the dollar). I don't think that is the case. I would put the odds of the US government doing something stupid much higher than the collapse of either the dollar or Apple.
Right, but the treaties set the baseline of enforcement that all countries that sign them need to respect, and Berne convention copyright is already pretty strong. If you make laws stronger than that, they only apply in your own country. That makes a lot of sense.

What makes enforcement difficult then is the cost of legal action… it is already expensive and time consuming in your own country, so it gets really expensive if you want to sue someone abroad, even if, because of copyright treaties, you have standing.
>> an visualise every step and turn of a journey of hundreds of miles, while being shoved through space at roughly 20 times normal walking speed, and do this for many different journeys.

That is nothing. Try to run through a forest chasing a deer. Your brain will be calculating paths around trees, planning each footfall based on 3d terrain scans in your peripheral vision, constantly recalculating the position and likely path of the deer, and all the while a subroutine is calculating the trajectory of the rock you are about to through at your (hopefully) future dinner. That is what the human brain evolved to do. In comparison, driving a car along a road is like watching paint dry.

Then think about what the deer brain is doing. It does all the same terrain mapping and 3d planning, but does so at double or triple the bandwidth. Deer see 300+ degrees, humans only 130ish.