skysight-inc/HackerNews huggingface dataset:
> Apple and Google would rather not get into these markets than dealing with the legal complexities, this is the reason they are blocked

I find this claim pretty suspect. What are you basing this on? I'm sure the extra income would be vastly more than the cost of dealing with legal complexities.
It sounds like they called him in to give his opinion and he did that. I don't see how that is unhelpful. An employee's job is not to ensure that the employer gets its way no matter what.
Sold a Story isn't alone; John McWhorter (a Columbia professor of linguistics) has a very similar take on phonics and has written about it in The Atlantic and the NYT.

As for bias, I understand SOS was funded by some foundation, though it's not clear what ideological bent the Hollyhock Foundation might have that would taint the reporting. I'm pretty sure Professor McWhorter is shooting straight here — he tends to speak his mind, regardless of how many friends it makes or (mostly, these days) loses him.

1: https://www.theatlantic.com/ideas/archive/2019/06/phonics-no...

2: https://www.nytimes.com/2021/09/03/opinion/kids-reading-spel...
I don't disagree, and I've even mentioned elsewhere in this thread that it's really hard to pin down origins - a lot of takes about who did it first boil down to personal opinions. The waters are muddied and there will never be a clear picture.

I was just saying that I'm surprised that people in this thread are blaming contemporary journalists or, to borrow your phrase, "this generation" for this discussion, when in point of fact the Belleville Three have been having this "pretentious and divisive discussion" since at least the early 90's and they were born in the early 60's.
It didn't show me one. FWIW, I also have cookies and third-party domains disabled.
Not sure. The real question is what the Google founders and board want and expect. Sundar is just looking after things for them. The reason he got the job is that he was never going to do more than that. But you might legitimately ask at this point if that's enough. And he's been there long enough that he could be replaced without anyone losing too much face. Surround it with some corporate euphemisms and get some fresh blood in and move on. I would not be surprised if they are already looking around.

It worked for Microsoft obviously. This is quite a coup for Satya Nadella. And he got that one on merit. MS has no stake in Android (they declined to get into that after killing Windows Phone). Also, he hit the ground running after Steve Ballmer was retired. Not that hard of course after Ballmer but he did a few decisive things early on that all seem to have mostly worked out. The Linkedin acquisition; fixing .Net, re-establishing MS as a bonafide OSS player with the Github acquisition and VS-Code. And then making a smart investment in OpenAI which they are now riding to success. All great moves.

I'd say, Google is in the same boat right now. Lots of obvious potential, an extended period of a bit rudderless performance, missed boats, and no clear direction or vision. Fix that and it could go somewhere else again. Doing more of the same isn't going to be anywhere near good enough. They seem to be stuck playing a game of whack-a-mole in terms of strategy and ever responding to what others are doing and never quite catching up with that instead of initiating things themselves and leading.
GPT is not supervised learning, it is self-supervised learning (a form of unsupervised learning) since the learning objective is "fill in the missing training data".
I actually hit this personally, because right up UNTIL calculus, math was the Feynman method for me. Everything always just clicked, made perfect sense, and I saw the beauty in it, and it was great fun.

Then for calculus, we learned concepts, like what a derivative is, and I understood that, and understood conceptually (as in, what everything "means" and what it tells you) but I could never take that concept knowledge to the practice problems with me.

I could follow along as the professor walked us through a problem, showing us what heuristics helped and what patterns to follow and how to manipulate the functions to get to something that followed one of the patterns to pull an answer out of your ass, but I could never commute those heuristics and patterns to novel examples. It's weird because I was great at doing the exact same thing for physics: Taking a novel and purposely opaque problem and finding which pattern it corresponds to.
I’m also concerned about the the iPhone passcode problem. You can change the password on someone’s Apple account with only the passcode. There’s no prompt to enter the old password at all.

Apple’s iPhone Passcode Problem: Thieve’s Can Ruin Your Entire Digital Life In Minutes | WSJ

https://youtu.be/QUYODQB_2wQ
> You're being deliberately obtuse. I said the raw data for 2023-04-15 on https://api.joinmastodon.org/statistics matches exactly the numbers on https://joinmastodon.org/servers for "Data collected by crawling all accessible Mastodon servers on Apr 15, 2023." Everyone can see that, including you if you choose. I didn't say the numbers were "not believable".

And that represents the 'monthly' usage as I repeatedly said. That only shows MAUs, not daily. Never was a problem for 7 years.

> The question is what "Monthly" is supposed to mean exactly, given that the raw numbers change every day, as everyone can see from the above link. And as I said, one possible interpreation is "unless perhaps it means they update the page once a month".

It is clear that it is representative of the MAU of every "active" Mastodon instance and corroborates with that fedi-list link I gave which also clearly shows "MAU" and matches with that.

There is no room for excuses or blaming labels after 7 years of Mastodon's MAUs count.

> Says you, with no evidence, again. What exactly was your methodology for producing the estimate "50,000"?

Yet it seems that you haven't even tried refuting it with any verifiable source and you are continuously passing the MAU metric as the DAU which is clearly incorrect, which I can dismiss your so-called 'DAU' source for Mastodon. Until then:

"Give a proper source that is verifiable that shows Mastodons DAUs and NOT its MAUs next time since you're still struggling to do so."
Hey there!
We are a team of two coworkers working in the creator industry, and we have a big idea we need your help with. We are seeking feedback on our idea to help aspiring creators monetize quickly, even if they haven't amassed a large following yet. To do this, we need to hear from everyday social users.
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By that reasoning, you are a collection of cells individually agreeing to coexist.

If you are an organism/individual/ensouled being, then a society can be as well.

> Who gets to steer this organism?

It suggests the importance of a central nervous system (e.g. government).
I agree on the lossy. There is a tradeoff between efficiency and comprehensiveness, kind of. It would be pretty funny if in the end, the most optimal method turns out to be the brain we already have. Extremely efficient, hardware optimized, but slow as hell and misunderstand stuff all the time unless prompted with specific phrases.
SVB's haircut was from LONG TERM bonds. Not T-Bills.
A single server which can probably serve your complete customer base could / might cost less than 5k
Are you talking about Bing Chat, which cites actual web pages it used to make the summary, or ChatGPT, which is a very different beast and relies on built-in knowledge rather than searches?
Previously posted, with 7 comments including link to archived version. I don't understand why it was marked "dead".

https://news.ycombinator.com/item?id=35580850
Why? Google makes a shit ton of money from Search, Microsoft doesn't.

The whole Bing AI stuff is already a huge money sink for them, how much can they afford to throw into this pit before investors start being worried?
Samsung may replace Google Search with AI-powered Bing on all devices
Sure, though anybody with a moderate networth should have their money in a brokerage or other assets rather than savings/checkings. For many reasons.

If you’re living paycheck to paycheck and need to move money around to make small purchases, then it’s not for you, yeah. Money market funds are for savings, not money that will be imminently spent. But then so are savings accounts at banks (vs Checking accounts)
Ask HN: What are some of the best ChatGPT Clients out there?
Likely similar to many of you, I have been using ChatGPT quite a bit lately. My main gripe with it though is that the actual interface is quite limited, and I don't like having to navigate to the site every time I want to use it.

Given the above, I've been looking in to a good ChatGPT client that offers additional functionality (exporting chats for example). There were quite a few out there, but I was curious what the community was using?

I am currently using Windows, however it would be awesome to hear what the community thinks of the best clients for any given platform!

To start things off, here is some I've found
* lencx/ChatGPT (Windows, MacOS, Linux)
* lisiur/ChatWizard (Windows, MacOS, Linux).
* EasyChat AI (Windows)
* Machato (Mac)
* ChatHub (Chrome / Edge)
Obligatory Norm MacDonald moth joke: https://www.youtube.com/watch?v=1-MJy7w69EU
Thing is, you can't trust what you find on stack overflow or other sources either. And searching, reading documentation and so on takes a lot of time too.

I've personally been using it to explore using different libraries to produce charts. I managed to try out about 5 different libraries in a day with fairly advanced options for each using chatGPT.

I might have spent a day in the past just trying one and not to the same level of functionality.

So while it still took me a day, my final code was much better fitted to my problem with increased functionality. Not a time saver then for me but a quality enhancer and I learned a lot more too.
What were the effective rates?
if you're buying either, you're paying millions in salaries to technicians and sysadmins and DBAs^W^W^Wdevops and SREs.

i've been on both sides of the fence and it's a case of 'grass is always greener on the other side'. the truth is, running any sort of non-trivial infra is ducking expensive.
What does the Leaf have that the Bolt doesn't? The Bolt uses a standard charge port, is larger, has superior range, and has active battery thermal mgmt.
The frames cost is 25%, which you wouldn’t have. Larger setups are often more efficient in price and performance. Going small is indeed expensive.
Has he? Is there evidence of this? I believe when the former head it safety left he said they were removing far more stuff than before. For example, I heard there were some child porn hashtags that got wiped out. I haven’t seen any more right wing extremists.
It seems to be rarely mentioned that Orwell worked as a propagandist for the UK government. 1984, in particular the goal of the Ministry of Truth, was a description of his job more than it was some prediction of the future.
I'm not sure why you continued in this thread rather than in the other thread with more info and explanation as I suggested, but anyway...

Even if we assume for the sake of argument that "active_user_count" in https://api.joinmastodon.org/statistics is monthly active users, there's still a major problem with your daily estimate, because the monthly active user count is remarkably stable from day to day.

We have 32 days of data, and on most days the change in monthly active users is only around 5000, sometimes less. There was one day where the active user count dropped 13K, and one day where it grew 27K, but those are outliers.

How is it possible that ~92-96% of Mastodon users are not daily active users, yet the monthly active user count only changes from day to day by an average of less than 10K? Your numbers just don't add up. They don't even make sense, as far as human behavior is concerned, and it certainly doesn't align with what we see on every other social network.

They certainly seem to be very loyal, consistent monthly active users. I'm not sure what Twitter means exactly by a "daily" active user. I think I would have been considered one, but I also definitely missed days, so what qualifies or disqualifies an account as a daily active user? How many days can you miss?
CLI: https://github.com/npiv/chatblade
I can't believe such an insanely stupid proposal was ever taken seriously. This really needs to be a career-killer for anyone who supported it.
Are you saying that your parents are millionaire college professors and they have not told you anything other than to do your homework? That sucks, I imagine most parents are more involved with their children. My parents are just research scientist but I had no problem learning from them, they answered all kinds of questions for me.
You don't, since they're not done yet. Someone will come up with a way to use it when they're done.
Metric-based rewards are hard to get right. For example, you've just disincentivized teachers from working with struggling students, and you've further incentivized teachers to work in the richest school districts. Since the metric is "how many at at grade level at the end of the year," you as a teacher are heavily rewarded for being handed students that are either already at grade level or have parents who can pay for additional tutoring.

The simplest fix you could slap on would be to make it a bonus for each student who tested as below grade level at the start of the year but above grade level at the end, but that also has complexities.
> "When it goes GPL, you can still have it just by going GPL yourself."

Which in some people's opinion, is no better. Just a different set of handcuffs.
The reality is that different biomarkers were discovered through the years by the Stanford centre by we are still looking for a specific biomarker to ME.

For example one of the criteria to diagnose ME is to have Pots, which is a disease with very specific symptoms.

Pots is a disfunction of the autonomic system and it is often associated with gastroparesis.

I repeat, you are endorsing a very obsolete theory about ME.
I haven't used autoGPT but vanilla chatGPT can happily do this in 25 lines of python.
All that assumes a market for a rocket as big as starship though.

If you're still stuck launching the same kind of payloads as smaller rockets then the benefit will be smaller.

For a rocket like starship to make sense you need an ~ order of magnitude increase in the market which isn't a given.

If you look at large jets, that wasn't the future. On the other hand cargo shipping seems to be heading that way, so I'll accept it could go either way, I'm just not convinced.

I just have a feeling this is more akin to musk buying Twitter, than musk landing a first stage falcon for the first time.
Yes, but it also tells us that if Altman is honest here, then he doesn’t believe GPT-like models can scale to near level human performances (because even if the cost of compute was 10x or even 100x it would still be economically sound).
"When we set the upper limit of PC-DOS at 640K, we thought nobody would ever need that much memory."

Bill Gates
Very much no. I log in around 8:00am, and log off around 4:00pm. On Wednesday's we have a team meeting at 4:30pm that I will join via my phone with airpods while I'm away from my home office, typically playing a game with my kids, and I bill for that extra half hour.
Exactly. Recently there was a big drama by the US where they summoned TikTok app's management to answer questions publicly in a Congressional hearing. International media were commenting how America is getting ready to ban TikTok because of privacy concerns that allegedly even allowed spying.

None of the major media in the USA even suggested that a strong data privacy act, and a general privacy regulation, could fix this for every app and be a better long-term solution.
In my experience, Google is substantially better for my searches than DDG. Google isn't perfect, but it's pretty close to what I need. I wish that wasn't true though, I would vastly prefer DDG.
> Given that it hasn't been done yet, evaporation must not be a major issue, so we shouldn't bother.

Because of the droughts and increased population, preventing evaporation has become a lot more important today than it was 50 or even 20 years ago.
That sort of makes sense, most of the people who care about something are going to be somewhat invested.
These cheaper HP laptops are not that bad. For 3 years I've had the HP Envy x360 which was about 1.5x the list price of this one and it has done absolutely everything I've ever needed.
Nah - GPT-4 is crazy expensive, paying 20$/mo only get's you 25messages/3hours and it's crazy slow. The api is rather expensive too.

I'm pretty sure that GPT-4 is ~1T-2T parameters, and they're struggling to run it(at reasonable performance and profit). So far their strategy has been to 10x the parameter count every GPT generation, and the problem is that there's diminishing returns everytime they do that. AFAIK they've now resorted to chunking GPT through the GPUs because of the 2 to 4 terabytes of VRAM required (at 16bit).

So now they've reached the edge of what they can reasonably run, and even if they do 10x it the expected gains are less. On top of this, models like LLaMa have shown that it's possible to cut the parameter count substantially and still get decent results (albiet the opensource stuff still hasn't caught up).

On top of all of this, keep in mind that at 8bit resolution 175B parameters (GBPT3.5) requires over 175GB of VRAM. This is crazy expensive and would never fit on consumer devices. Even if you use quantization and use 4bit, you still need over 80GB of VRAM.

This definitely is not a "throw them off the trail" tactic - in order for this to actually scale the way everyone envisions both in performance and running on consumer devices - research HAS to be on improving the parameter count. And again there's lots of research showing its very possible to do.

tl;dr: smaller = cheaper+faster+more accessible+same performance
Interesting, so the LLM is "just" getting your question plus a normal text description of the image (as vectors)?
Have people used BING lately? It's still not good - but maybe it will improve.

Google search has just gotten worse and is more ad prone. It's still better, but not golden age google - not even close.
> for one thing, teachers don't take a hippocratic oath.

Well, you've hit upon a thing I'd like to see teachers actually do! Nice, thanks for that.
The age of CEOs that recently got washed to the top saying dumbish things is just starting, though.
It sounds like you missed the very end of my comment.

"For that, I'd suggest more than just buy/hold and really delve into the lending/borrowing markets in DeFi."

Crypto itself is volatile, however there are more complex (and potentially risky depending on how you look at it) ways of mitigating the volatility via lending/borrowing (and options for that matter) DeFi markets. All of which are easily liquidated, in seconds and low transaction costs (that are offset by earnings).

Of course a lot of this is still very early days in terms of knowledge and exposure. That's a big reason why you might not be aware of what's possible in DeFi.
Don't do banking on your phone. I consider mine compromised and too much of a security threat to risk it.
> Given that it hasn't been done yet, evaporation must not be a major issue, so we shouldn't bother.

Do you really believe this?

It reminds me of the joke about an economist that doesn't pick up $100 off the ground, because if it was a real bill, somebody else would have already picked it up.
I am curious how much video-to-text content represent compared to pure text. I have no idea.
Quality over quantity. Just building a model with a gazillion parameters isn't indicative of quality, you could easily have garbage parameters with tons of overfitting. It's like megapixel counts in cameras: you might have 2000 gigapixels in your sensor, but that doesn't mean you're going to get great photos out of it if there are other shortcomings in the system.
As I recall, StackOverflow runs (ran?) on 6 large but not massive servers.
Hi, this is Vipul, I am a co-founder of Together. We plan to release the model weights under Apache 2.0. The amount of creativity that Stable Diffusion unleashed for instance is only really possible with permissive licenses!
Thank you for trying it out!

I'm matching the search queries with a Wikipedia page right now, and in this case
it found "20th century art".

If you press the explanation

"Die Brücke was a group of German artists who strove for emotional Expressionism."

You'll see the reference highlighted in the Wikipedia page

"Die Brücke strove for emotional Expressionism"

I agree that it might be a bit confusing, I'll see if I can do anything to make these situations clearer.

Thanks!
Yugo: they sold for $4K new, so a 50% return on something I had to keep in the corner of the garage for 30 years is a pretty poor "investment". And that's assuming someone even wants it; just because it's for sale doesn't mean it's collectible. Model Ts are distinctly different, even in comparison to their younger brother the Model A. Yugos are just shitty versions of what you're driving now. I suspect one will find the same with Ford Escorts.
>Why is no one making a big fucking deal about this???

Because you can just buy a new iPhone.

If you are money conscious in this regard, you shouldn't be buying apple products in the first place.
The offices are unoccupied and can’t be lived in. The people who used to go to them now desire more space at home since they now spend much more time there. Big demand for residential square footage while companies are trying to shed their leases.

Of course people could be trying to leave the area entirely, but many people have ties and a life built and aren’t going anywhere.
Add in redundancy and that number quadruples bc you need to manage shared state and 2-3x the hardware
> Imagine a PC that's entirely unusable offline.

FWIW we had thin clients in computer labs in middle school / high school 15 years ago (and still today these are common in enterprise environments, e.g. Citrix).

Biggest issue is network latency which is limited by the speed of light, so I imagine if computers in 10 years require resources not available locally it would likely be a local/cloud hybrid model.
Or maybe the top five most valuable tech companies - Microsoft, Apple, Amazon, Facebook, Google.

Even if that’s the case, why aren’t investors willing to invest in EU tech companies at the same level?
I am gonna go out on a limb and say that given that they're talking about replication they mean server rack which definitely is not $100k/mo but can pretty easily be $100k up-front.
That would be strange imo because there are obviously far more advantageous business cards out there. The only reason I could maybe imagine someone using the Apple Card for business is to get 3% back on hardware purchases.
UH, those are called BOOLEANS my friend.

-

Bins

Of

Organized

LEGO

Easily

Addressable

N.. OW!! damn kids, where is your garbage collection!!??

Systems
This is one of those topics that people debate endlessly because what works "for most" does not work "for all".

I learned full word reading, it works great for me. I was well into middle school before I learned I didn't know how to pronounce a lot of words, but by 5th grade I was reading at a college level. Pretty sure I didn't internalize "e at the end makes vowels long" until nearly high school.

I read really fast, I can glance at a word and read it long before any sort of inner voice could catch up and mentally pronounce it.

I've met plenty of other people who are the same, but I will also acknowledge that this doesn't work for everyone.

But you know what? I bet a lot of chemists "read" chemical names the same way.