josalhor

"Right to Human Verification" is something I have actually thought about a lot.

I want to able to verify my identity against a system. I also want to be able to not do that.

So for instance, on Twitter/X, I could verify myself and filter only other verified people / filter those goverments that have validated the identities of the users. I want to be able to do that. But I also want to be able to log in into Twitter anonymously.

I would love a "Right to Anonymity and Right to Human Verification"

Seems almost incredible that no one is pointing out the YT incentives behind this. YT has a war on two fronts: ad-blockers and in-video sponsors. That is because in-video sponsors don't get YT money, so they want to be in the monetization loop. So, by decreasing the views, sponsors are now less attracted to in-video sponsorships and YT ads look better in comparison.

Having had no experience in JIT development but having followed the faster cpython JIT progress on a weekly basis, I do find their JIT strategy a bit weird. The entire decision seemed to revolve around not wanting to embebed an external JIT/compiler with all that entails...

At first I thought their solution was really elegant. I have an appreciation for their approach, and I could have been captivated myself to choose it. But at this point I think this is a sunk cost fallacy. The JIT is not close to providing significant improvements and no one in the faster cpython community seems to be able to call the shot that the foundational approach may not be able to give optimal results.

I either hope to be wrong or hope that faster cpython managment has a better vision for the JIT than I do.

I have thought about this for a while. I think that a lot of labeling could be done with regards to promises of consumer products. Publishers (of any kind of digital product) cannot expect to transition to a model where we don't own anything and they make no assurances on the product they serve.

It would be great to have a badge of the sort "this product will not have ads, will not have microtransactions, will be able at least until 2030, etc.".

Do you have a minimal docker image so we can start the service with a single command?

I just skimmed over LoRA+ and DoRA and I see no reason why these improvements could not go hand in hand. Actually, LoRA+ seems to be about efficient training while DoRA seems about improving the ability to actually learn, making it significantly more robust. Although I still have my questions on how the improvements of LoRA+ would be applied to the magnitude vector.

Those numbers are quite impressive for a 7B model!

I read that as "big organizations can make significant contributions to reduce CO2 emissions", which makes sense to me.

What are the constant factors here? Could this be dropped in everywhere they are already using Shor's algorithm and just get a speed up? If so, this results seems incredibly influential.

I can select English UK and that seems to work pretty well.

Source is HT Kim shared on NYTimes: https://www.nytimes.com/2023/08/03/science/lk-99-superconduc...

As someone who has never programmed directly for a GPU, how does this compare to HIP? Can this be an efficient abstraction over Nvidia and AMD GPUs?

Everyone here seems pretty negative about the petition based on the title that says "YC Is Asking for a Bailout", when actually the content of the post is quite different:

> Small business depositors at Silicon Valley Bank should be made whole. Regulators need to conduct a backstop of depositors. We are not asking for a bank bailout.

With emphasis on that "We are not asking for a bank bailout". They are also asking for more regulation.

Taking rapid action to make sure this does not cause a domino effect seems like a pretty good idea if you ask me.

The examples in the paper are pretty impressive. There is an example of a windows 11 dialog image. The computer can figure out which button to press given the desired outcome of the user. If one where to take this model and scale it, I can see an advanced bot in <5 years navigating the web and doing work based on a text input of a human purely by visual means. Interesting times.

Also from the paper for more context:

> The dataset was randomly divided into 70% training subset (1420 for prostate and 692 for pancreatic), 15% validation subset (304 and 148), and 15% test subset (304 and 148).

From the paper and for contextualisation:

> In the same manner, the trained deep learning for pancreatic cancer urine dataset (Figs. S13a–c) clearly showed superior classification performance with a sensitivity of 98.6% and a specificity of 100% (99.3% accuracy, 0.9892 AUC, 59 epochs).

Totally agree. Something similar should also apply to laptops and smartphones. If your phone comes up with 30GB of bloatware on a 64GB device you should definitely not be allowed to advertise 64GB of space.

Absolutely agree. And while I don't recommend anyone to try this out on a DIY basis, historically a lot inventions we take for granted and have made our life better came from people literally tinkering around with stuff and slowly figuring out what works.

> The guy that you can see in one of the pictures drinking from a glass recipient was in a Netflix documentary (I can't remember the title from top of my mind) where he was advocating for everyone being able to use genetic engineering for self-improvement, even without any previous knowledge of genetics.

You mean the documentary unnatural selection. I have seen it, but I recall something quite different. He did infact advocate that at some point people will use this technology without understanding it. It surely feels like a premature opinion, but in retrospect people use many life changing technologies without understanding them either

Does everyone understand what they eat? how electricity works? how their smartphone works? the drugs their doctor prescribes?

Makes me wonder if we will see a generalization of this idea. Just like in a CPU 90%+ of want you want to do can be modeled with very few instructions (mov, add, jmp..) we could see a set of very refined models (Stable difussion, GPT, etc) and all of their abstractions on top (ChatGPT, Rifussion, etc).

Fair enough. But just like every job has bullshit, every part of life has some level of bullshit. I don't think in terms of "eliminating" bullshit, but rather minimizing it.

I've seen people work in tech working on more efficient renewable energy, improving crop harvesting, improving safety on the road... All while having a happy team of well-organized people.

Not every job is bullshit and not every way of working is bullshit IMO.

I saw this idea some time ago also in HN [0,1], it has also stuck in my brain pretty hard.

The way Paul words it is like this:

> Having kids showed me how to convert a continuous quantity, time, into discrete quantities. (...). If Christmas-as-magic lasts from say ages 3 to 10, you only get to watch your child experience it 8 times. And while it's impossible to say what is a lot or a little of a continuous quantity like time, 8 is not a lot of something. (...)

(...)

> When I ask myself what I've found life is too short for, the word that pops into my head is "bullshit." I realize that answer is somewhat tautological. It's almost the definition of bullshit that it's the stuff that life is too short for. And yet bullshit does have a distinctive character. There's something fake about it. It's the junk food of experience.

> If you ask yourself what you spend your time on that's bullshit, you probably already know the answer. Unnecessary meetings, pointless disputes, bureaucracy, posturing, dealing with other people's mistakes, traffic jams, addictive but unrewarding pastimes.

This reflection in general has transformed not only how I look at time, but also how I look at work. I ask myself, is _my work_ bullshit? Is this _task_ bullshit? Is my way of spending _time_ bullshit?

[0]: http://www.paulgraham.com/vb.html

[1]: https://news.ycombinator.com/item?id=16729555

Yes, there is evidence that is the case[0]. Part of the abstract:

"We provide the first evidence that cumulative heat exposure inhibits cognitive skill development and that school air conditioning can mitigate this effect. Student fixed effects models using 10 million PSAT-takers show that hotter school days in the year prior to the test reduce learning, with extreme heat being particularly damaging and larger effects for low income and minority students. (...) Without air conditioning, each 1°F increase in school year temperature reduces the amount learned that year by one percent. "

[0]: https://scholar.harvard.edu/files/joshuagoodman/files/w24639...

How efficient is this? Is JSON stored as a blob and parsed and filtered on each query?

My bad, you're right. I mistook "2m" as 2 minutes ago, not two months.

Seems fixed? I just checked with FF.

Also from a Reddit Admin: > We believe we've tracked down the issue that was impacting some of your bots. There may be some lingering 403 issues as we hash it all out over the next day or so

> https://www.reddit.com/r/redditdev/comments/r55zax/comment/h...

I find it very amusing that the current answers suggest:

- WPF with NET 6

- Electron

- WinUI

- Flutter

- That GUI programming is complicated

I recently invested on a YMDK 75% split keyboard.

After many hours of research on switch type (because I don't like noise or high pressure on keys) and some modding to the height lower it turned out pretty good.

Would recommend to anyone whose livelihood depends on what they type on the computer.

I am literally 22 years old like the article says.

I can still remember pretty well my life before I was always connected. My earlier life was quieter, calmer. I have fun memories of my old Nokia 5800 :)

I am not sure I live modern technology that much different than older people. Just like many people grew up with home appliances or cars being the norm.