skysight-inc/HackerNews huggingface dataset:
The FDIC understands supply and demand. This is a crisis situation and they are trying to track down 200 billion dollars. For this weekend and perhaps the coming weeks, these employees have some of the most valuable information on the planet. The vast majority are probably good employees that had nothing to do with the specific decisions that landed the bank in this situation
I clicked that "Pay Now" button in my business. Nothing really that complex there, once the amounts are calculated (usually by automated programs). The rest is just regular ACH transfers, which take 2 business days to clear.
Again (with little understanding) I'd ask a similar question: is there such a huge difference under the skin between Python 3.10 and 3.11 to render a prebuilt binary (torch or otherwise) for 3.10 incompatible with 3.11, on an otherwise identical platform?
The value at maturity doesn’t matter. It’s not like they were going to sit on them for the whole term anyway. They’re just an asset that’s usually fairly stable and that usually stays that way over a certain window, and so they’re actively traded and have a market value based on those characteristics.

In their case, the market value of the TBills that they purchased slipped too much. Because that’s just paper value and could have recovered or been been balanced for eventually, it might not have been an issue without a run of withdrawls. But buzz hit that they were in an unexpectedly and unisually fragile position, and that made people start the run that broke them.
For something that’s supposed to be a 1:1 peg, running at 4% below dollar value is significant.
I am wondering who pays for it. Most of the free websites from that era disappeared because their business models went belly-up during the dotcom boom.
Pennies on the million.
Check out Gracie Terzian on YouTube if you’re a total beginner and getting overwhelmed by other music theory sources. Her speciality is really breaking things down and simplifying as much as possible.
This is what we've designed LlamaIndex for! https://github.com/jerryjliu/gpt_index. Designed to help you "index" over a large doc corpus in different ways for use with LLM prompts.
Because crypto is not currency. It’s more like the fake money at Habbo Hotel
Look similar to a celebrity? Your face gets replaced, because the number of photos of the celebrity in the corpus outweighs photos of you. And when those doctored photos end up in the corpus, weighting will be even further towards the celebrity So people who look less like the celebrity get replaced, because it is almost certainly them according to the AI. Feeding back until everyone gets replaced by a celebrity face. And then the popular celebrities faces start replacing the less well known celebrities. And we end up with true anonymity, with everyone's face being replaced by John Malkovich.
In the Australian context, the big parties are Labor and the Coalition. The Coalition is formally an alliance of two parties, but in many situations they act like a single one–indeed, in Queensland they actually merged into one (the LNP), and effectively they are a merged party in the NT as well (the CLP), although that technically was never a "merger" as such. The Nationalists and Country party in 1918 were the historical predecessors of the current Coalition. The "small parties" are the minor parties which are neither Labor nor the Coalition, but still manage to win some seats in Parliament–nowadays primarily the Greens on the left, One Nation on the right, and a random mishmash in the middle–although as we go back through the decades, other players have risen to prominence only to subsequently fade away (most notably the Democrats and before that the DLP). And then you have the "micro parties" which run candidates but never win any seats, or one or two of them might strike it lucky on very rare occasions (like the now-defunct Motoring Enthusiasts Party did in 2013).
In such a case, Circle, as required by law under stored-value money transmission regulation, will stand behind USDC and cover any shortfall using corporate resources, involving external capital if necessary.

I don't get it..the money is gone. Is there something I am missing here? You cannot just magically fix a shortfall.
Yes, primarily on Bybit.

It's a terrible trade to make now though.
Isn't it more the four bit quantization than the choice of C++ as an orchestrator that's the win? It's not as if in either the C++ or the Python case that high level code is actually doing the matrix multiplications.

That basically the whole AI revolution is powered by CPython of all things (not even PyPy) is the 100 megaton nuke that should end language warring forever.

That the first AGI will likely be running under a VM so inefficient that it refcounts even integers is God laughing in the face of all the people who've spent the past decades arguing that this language or that language is "faster". Amdahl was right: only inner loops matter.
Status page for SVB payment systems
One off device by a company no longer traceable, with an outlandish price (as one comment pointed - they probably wanted a part of FusionIO pie) but only with a two slots for SO-DIMM? Dead from the start.

If there was a (fulfilled) demand than there would be more devices like this, but... by 2012 the problem of a fast storage was solved by throwing loads of SSDs in some SAN (eg 3PAR 7xxx series) and of course enterprise sector preferred volatility and scalability, of which RAM-drives has none. Same with enthusiast market, WD Raptors[4] for a "fast" low/mid-tier, SSD for the fast tier. Just to be sure I checked when OCZ-VERTEX3, which is still running in T440 as a system drive, was anounced - it was ~Feb 2011. In 120Gb and 240Gb versions.

It took some time to dig up the prices (I don't remember nor the prices nor the amount, heck, a decade ago):

> The price of high-end 2GB DDR3 (double data rate, third generation) DRAM modules declined to US$25 in the first half of November, down 46 percent from its peak of US$46.50 in the first half of this year, according to DRAMeXchange. [0] Nov 2010

> G-Skill is offering a value DDR3 kit for $36 USD and Crucial sells their own value RAM for $34.99 over at Newegg. Considering a bit more than 3 years ago (Aprill 22, 2008 via the Way Back Machine’s snapshot of Newegg), a 4GB (2x2GB) kit of G-Skill DDR3 RAM went for $279.99, or about $560 for an equivalent amount of RAM today (8 GB 2×4 GB for $36 versus two 4 GB 2×2 GB kits for $560)! [1] Nov 2011

So even if you were somehow a visionary and would see the price drop a year or two before (ie ~2009)... at 2011 a single 8Gb stick was ~$50, so with $250 you could only get 32Gb (IF the RAM drive card was $50! and it wans't!), compared to $250 for 120Gb of Vertex 3. [2]

Strange visionary who would see a DDR3 price drop, but not SSDs. I paid way less than $250 for that drive, because I bought it somewhere in 2012-2013:

> Just ordered a OCZ Vertex 3 120GB after shipping, taxes and Rebate came to $87.00, ... [4] Apr 2012

[0] https://www.computerworld.com/article/2752016/dram-prices-to...

[1] https://pcper.com/2011/11/ddr3-ram-now-at-all-time-low-price...

[2] https://www.storagereview.com/review/ocz-vertex-3-review-240...

[3] https://hardforum.com/threads/ocz-vertex-3-120-any-good-87-n...

[4] it's quite telling what the last models were announced in 2012 and then quietly disappeared a mere year later: https://forums.tomshardware.com/threads/1tb-velociraptors-di...
To simulate something you need to first know how it works and know all the relevant interactions, this is something that we currently do not understand. Neurons are not equivalent of neural networks we use in computers, they are A LOT more complex with whole groups firing the same time and chemicals regulating neurons all the time and whole topology is plastic, it works in a way we can't model or simulate currently. People hugely overestimate our knowledge about brains.
Offensive AI Compilation
That is not the point. USDT repegged from far worse news. It is a hot potato, but the market used to price that risk at almost zero for 99.9% of the time.
This surely takes "charitable intepretation" to a whole new level!
Yes, by creating a synthetic - you short BTC/USDC and long BTC/USD. This will create a USDC/USD synthetic. Both BTC/USDC and BTC/USD can offer up to 100x leverage, so the synthetic USDC will also be up to 100x. Of course, there is a long list of risks in such a trade, and if you need to ask about it it's not for you.
M1 Pro for sure
https://news.ycombinator.com/item?id=35112641
Then someone takes a photo of their TV screen. Presto, instant chain of custody for any image you want!
The error in the “indirect effect” line of reasoning is that it assumes that nobody would’ve grown cotton in the American south if slavery hadn’t existed. Of course they would have, it would just have been share croppers doing it instead. The north still would’ve gotten southern cotton, but maybe the supply would be somewhat lower and the products more expensive. British ships would still have been sailing around bringing that cotton to mills in Britain.

You have to look at the counter-factual scenario of what would have happened instead. And we kind of know what the counter-factual scenario looks like because European countries ended slavery and their economies didn’t collapse.

The “indirect effects” theory is so wrong that even Jacobin, who are actually socialists, wrote an article debunking it: https://jacobin.com/2019/08/how-slavery-shaped-american-capi...

You’re correct, Germany did have a colonial empire before WWI, but only for about 30 years. It was inconsequential to Germany’s economic development.
Would love to see some real life examples as even the professor in my Computer Architecture class wasn't able to provide any.

I think the notion of compsci students still having to learn ASM is the relic of an older generation that needs to feel like their outdated skills are still relevant.
So long as it is better than the thing it replaces, I don't get the big deal.
This will never happen, it’ll have to be when redemptions stop working.
3 month (or less) Treasury Bills are damn close to cash. I don't believe they lose value in practice, not even in the rapidly raising interest rate environment of the last year.

The problem at Silvergate and Silicon Valley Banks is that they bought 10 year or 30 year bonds, not 3 month bills. Its a completely different composition, with completely different properties.
A TUI Todo Manager
The first thing you said is correct. To do a proper simulation you would need to gather functional properties of the various cell classes and their synaptic connection, which this study didn't do. (Maybe you can find that information from other lab, I'm not familiar with fly models?)

However we definitely have the computational ability to do simulations a fly network. Look at some of the modeling done by the Blue Brain Project or Allen Institute for Brain Science - they do simulations of rat and mice models with hundreds-of-thousands to millions of neurons and exponentially more synapses. 3000 neurons is not that many. If you stuck to non-compartmental point models a 3,000 neuron simulation could probably be ran on a moderately high-end laptop.

But as said before, the physical connectome is only part of the information you'd need do any worthwhile simulations.
Yeah, unlike those people working on third party companies depending on the bank for their salaries...

I mean, who works harder and needs the money more, a finance executive waiting for their bonus, or a single mother of two working two jobs, one of which happened to be in a company depending on this bank for its salary payments?

Obvioysly the former!
I dunno, Uber hasn't crashed yet. At some point, from a founder's perspective, you get so big that it doesn't matter if it crashes. I mean, how much have Uber's founders actually made? You know, assuming Uber isn't sustainable, things have been quiet on the doom and gloom for that.

If your ride gets hitched to enough cash from influential people, your company gets cashed out (and you with it). They'll find a better sucker.
I'd go further and focus on "small efficiencies" part of that. The assumption used to be high that you would stay cognizant of large efficiencies.

In a very real sense, this is like a lot of the rhetoric around Big O analysis. From all that you ever hear online, you would think that Knuth's analysis was focused on only the Big O descriptions of algorithms. Reading the book, however, you find much more detailed takes of individual algorithms. Such that the aim was never to not be able to do the small, but realize that the comparison is dominated by the big.

Such is it with efficiency. The assumption was that you did not pick purposely inefficient methods, at large. And that you can focus on the very small level details where you get the best return on them.

Now, I think "clean code" is getting a bit thrown under here. Picking the specific examples that were easy to talk about in a pedagogical manner is not doing any favors to the general ideas from either side. And I consider myself mostly on the anti side of the "clean code" debate.
The fdic absolutely needs the everyday employees who know the business to show up and be productive. These will be the employees who know the passwords and account info and the day to day work of the bank. They aren’t the executives who made the bad decisions. In some ways, they are the victims of the executives’ bad decisions just like the depositors.
They may well be 100% collateralized in bad collateral. Same for USDC really, except the collateral is not as bad.
I'm seeing a pretty big ad at the top of every page. Is my experience unique?
I love firefox so I'll definitely port it in 2-3 weeks. For Edge and Brave, you can install it directly from the Chrome store.

I'm still collecting all the good ideas to make this highly useful as I don't want to make it just another frontend for ChatGPT. Next version will also let you bring your own API key if you don't want to login to ChatGPT website.
Time zones are part of standard time, but the core concept is that everyone agrees to synchronize their clocks. Time zones are an abstraction layer above.
I always register new TOTP accounts on multiple phones as a backup. My main phone and a couple of older phones that are not internet connected. It is no problem to register the same QR code on multiple devices.
> and it may be against their contracts

Those contracts are with a company that doesn’t exist anymore… so I’m not sure that’s a good argument.

I get that this is part of the compensation that people rely on (I’ve seen Christmas Vacation), but it’s a really bad look. Paying out bonuses right before your company is taken over by the Feds is a horrible PR image. Regardless of if it is the right thing to do or not.
Treasury Direct might actually be an option for small or medium startups. The limit is only $10k for savings bonds, but $10million per auction for Treasury Marketable Securities (bills, notes, bonds, TIPS, etc).

https://www.treasurydirect.gov/research-center/ (scroll to Purchase Limits section)
I think the hope is that as LLMs get larger these issues will go away. Certainly there are issues with GPT-2 that completely went away when moving to larger models.

Honestly, I haven't even seen GPT-3.5-turbo exhibit this behavior myself, although I am willing to believe it could happen. Llama 7B, however, goes off-script constantly.
Right, I'm not sure the author understands key either. It's an optimization to help React identify insertion / removal / reordering of array items between re-render. https://beta.reactjs.org/learn/rendering-lists#where-to-get-...

Giving every item a new key on every update does not help with that - in fact it is likely strictly worse than just using index since it will cause every item to re-mount every update https://beta.reactjs.org/learn/preserving-and-resetting-stat... which is unlikely to be what you want.
> how evolutions in data-led policing strategies helped New York City reduce annual murder numbers from 2,245 in 1990 to just 292 in 2017

This is a highly contested claim, because this happened everywhere in the US across the same time period, whether or not they were using CompStat or CompStat inspired strategies.
I appreciate the complexity of the unwind, and that many employees may not have had a direct hand in the risk that SVB accrued, but I think there's a bigger picture at play.

Banks are supposed to be one of the bedrocks upon which the economy rests and they are given certain privileges (like access to low interest rates ordinary people cannot get) as part of that role. Its clear the financial sector needs to have an extremely close eye on it to not cause all sorts of destruction across the economy, which it still manages to do pretty regularly out of a fun mix of short-termism, stupidity, and greed.

So from a signaling perspective, if the org is sitting on a lot of risk and employees may have benefitted during the accrual of that risk, shouldn't they also face consequences? Wouldn't that cause each employee in a bank to pay some more attention to the fundamentals of the org, to put pressure on any situation where large risk accrual happens? Wouldn't that cause the internal structure of banks to change so that more eyes were on these large risk accrual moments, because talented people wouldn't join unless they knew their livelihoods weren't at risk by one bad decision? Regulations can't be the only form of pressure for banks to not fuck up.
Yes true if you trust the website then generally that trust can extend to all its content. You are putting your faith into the competence and consistency of a human being which is generally more trustworthy than the hit or miss results of a word predictor
Quite the equivalent (to me) to many kids preferring the taste of "strawberry yoghurt" compared to real strawberries, because it's sweeter and has enhanced taste. Except for photos.

Not sure I like that future
Announcing OpenChatKit
Idk, I think it's like looking at a winning lottery ticket[1] to a game you haven't played yet.

1. https://arxiv.org/abs/1803.03635
Terra is not even in theory backed by real dollars, it had a known failure case, which did in fact occur. Again, the market priced that risk at virtually zero until the failure case was tangible.
Exercise, avoid bangs and invent fairy stories – guide to keeping brains healthy
Title trimmed:

>'Exercise, avoid bangs and invent fairy stories': Henry Marsh’s guide to keeping brains healthy
Same here, been lifting since 1989 and online since the year after, and this is the first I hear of this website.
Install a desktop authenticator app.
Whether zooming in on an image on iPad adds "extra" details was already a contentious discussion during Kyle Rittenhouse trial. The judge ultimately threw that particular piece of evidence out, as the prosecution could not prove that zooming in does not alter the image.
The quote specifically calls out "small efficiency gains" as a premature optimization. Specific example is a goto statement that is not as "clean" as many other control structures, but still makes a big impact on a particular implementation of a routine in question.

Implicit, I argue, is the idea that you were also not reaching to methods that were adding inefficiencies. That is, I think the argument is fine that you can and should try to write efficient code at a high level.
I'm not particularly interested in beating ChatGPT: I'm looking for a "calculator for words" which I can use for things like summarization, term extraction, text rephrasing etc - maybe translation between languages too.

There are all kinds of things I want to be able to do with a LLM that are a lot tighter than general chatbots.

I'd love to see a demo of GPT-J on an iPhone!
That means it's not really a peg. If you have a peg, it means that the currency issuer is willing to buy their currency for a set amount. Right now, Circle isn't willing to buy USDC for $1 USD - therefore, there is no peg.

Or maybe what we're talking about is a broken peg. Circle was willing to pay $1 USD for a USDC, but they're no longer willing to pay that (at least temporarily). Maybe countries have seen their pegs broken because they couldn't actually defend their peg. They'd promise "we'll give you $1 USD for every 2 PegCurrency" and then someone would come along with a ton of PegCurrency and ask for dollars and they wouldn't have enough dollars to give them. A peg only lasts as long as you have the currency to keep paying at that rate.

We'll have to see on Monday and Tuesday whether they will go back to defending their peg. Unlike many foreign currency pegs, they should have the cash to defend their peg to the last dollar (with the exception of losses incurred due to SVB going under). However, it still might mean a huge loss of confidence in USDC. If they're unable to offer liquidity when people want it, that's potentially a big problem for the product they're offering (but it also might not be: maybe people don't care about 24/7 liquidity and are ok with waiting several days for liquidity).
Vulkan drivers on the RPi are kinda terrible. Only supports Vulkan 1.0. For better compatibility, a Rockchip SoC with Mali GPU and Panfrost drivers support desktop OpenGL 3.1, so you can use Wine's WineD3D on that.

https://mesamatrix.net/
Output looks good from my 5mins of using it, tho I'm more interested to see the open assistant project's output as they have a 100k of training messages.

Demo: https://huggingface.co/spaces/togethercomputer/OpenChatKit
It can, because they are investing the funds on t-bills or similar instruments with a 5% yield, and they don't pay any interest to the USDC holders.
They already are. This week I uncovered a ChatGPT bot farm operating on reddit.
A vast amount of the world is built on “close enough” and this is no different
They have recently merged support for x86. I get 230ms/token on the 13B model on a 8 core 9900k under WSL2.
Until they raise prices. Classic venture playbook here - get everyone hooked on the product then raise rates.

Also depends how you calculate cost. If its simply $ or if you are counting the externalities as 0.
I don't think were going to reach winter before we can run our own ChatGPT locally with mundane hardware.
Calling useEffect an escape hatch is as much of a recent fad as shitting on react. How can it be an escape hatch, when it is the only api provided by react to perform side effects during the rendering cycle, which do not themselves pertain to rendering? Calling it an escape hatch is the same as calling componentDidMount or componentDidUpdate methods of the class-based api escape hatches.
So what's the problem with using index then?
This has in some ways been happening for decades. There are a few countries where the way to take a good portrait of a person is to over expose the photo, so skin tones are lighter. People bought the cameras and phones that did this by default (by accident or design in the 'portrait mode' settings). They didn't want realism.