skysight-inc/HackerNews huggingface dataset:
Composer but not musician.
Thx for posting this. I was trying to remember where I read this a few years back. Of course it was Bret Victor. Many of the very cool things I've seen in the last decade came from Bret.
Anybody who’s seen a slum would agree that it’s housing that is a basic human need, not shelter.
Realtors™

FTFY
I can't read this (paywalled), but typically such plans are ongoing. EG, to make sure it doesn't happen in the future with other assets.
That comment didn't claim it was an SV creation, it can be read as SV made it easier and more popular so it made real estate more of an investment in general.

Perhaps fractional ownership was used in limited circumstances before, but some tech co thought they can make it mainstream and didn't stop to think if they should. Cue unforeseen consequences.
How do you propose to implement this? In the past, living on the better land meant others would be more likely to try to take it by force. If you attempt to suppress this dynamic entirely instead of transforming it into some other dimension (e.g. violence to money), you will fail and it will be replaced by either a money black market or violence or both.
How well does the model handle domain shift in real time? A big issue with a lot of AV models is the ability to adapt to domain shift in real time and doing so quickly! I wonder if the extensive world knowledge in pre-trained LLM’s could overcome this challenge and remove the need for online domain adaptation, where the model needs to be trained in real-time and thus have slow performance!
In my opinion, which doesn't mean much, we're in a very weird spot where it's like 50/50 on usefulness and uselessness. There are certainly approaches where GenAI can be incredibly helpful, I've seen it in action in the day job. However, there are also avenues where it's complete snake oil.
If the icon was the problem why go after the entire feature?
If they only have 50%+ market share, vs the 90%+ they have on android for instance, I'd argue it's a sign the defaults have a serious impact.
Coroutines: Single- vs. Multi-Threaded
Are they worth 6% of $700k for buying a house? That is yearly income
Best tool to animate and rig 3D models.
Original VisiCalc on Apple II User's Guide [pdf]
Indeed. Imagine if fines for individuals worked that way:

"We have video evidence of you tossing a lit cigarette next to a hiking trail in Yosemite National Park. You are hereby fined... 2.3 cents, payable within 30 days. You can appeal this ruling."

"Umm... I don't actually carry any coins..."
Agreed. Case 1 is not hypocritical. Hypocritical would be forgiving loans while believe they should not be forgiven.

Accepting a forgiven loan is a different action - you don't believe the other person should have done it, but they did, your acceptance of that is a different matter.

Try rephrasing it into the negative: I don't believe anyone should pay sales tax. Is it hypocritical to pay sales tax when you buy something? No, it's not.
I think the most famous and my favourite is the one where the devil is sharpening a woman's tongue.
No, it'll pop more like the dotcom bubble. Like, yeah it's a bit overhyped at the moment, but there actually is a fair bit of there there.
Silicon Valley did disrupt real estate -- AirBnB. Made every property more valuable and thus, expensive. Moving? No need to sell, your previous house can now be a passive income vehicle. Even if you don't participate as a host, the reduction of supply augments your home's selling price.

"Disrupt" doesn't always mean, for the benefit of consumers.
Windows NT 3.1 on Dec Alpha AXP
their agents get their commission partially structured based on the customer satisfaction feedback following the transaction, or used to. So the incentive is at least somewhat more in favor of the consumer.
"Information should be free" doesn't work when you have Microsoft inserting itself as a middleman of information.

The community is not gatekeeping knowledge, anyone can join. It merely tries to keep certain corporations out...
It sets the precedent that fines are inconsequential, not even really "cost of doing business", but completely irrelevant.
The article's title is misleading. The "cable that's stealing photos, videos and location data" is a chinese adapter for the iPhone that requires you to download an app before you do screen mirroring. The app itself is then asking you to share data with China and does other things.

The linked article is pure trash, read the original one instead [1] which has been posted here a few days ago.

[1]: https://www.404media.co/i-tested-an-hdmi-adapter-that-demand...
This depends heavily on what part of Seattle you mean. I just moved out of Queen Anne, and it is still quite nice school wise compared to where I grew up.

That said, main city of Seattle used to be basically the industrial zone. Bellevue and Redmond had the better schools even a decade ago. Such that I have a hard time following that. Happy to see hard data showing a decline.

Even still, I meant my point to be what it has been like for most of the nation for a long time.

Again, happy to see hard data showing Seattle proper has had a decline in school quality. Most anecdotes I've heard don't really support that.
2.5k screen, 1.3kg, rather expensive for a thin client. I thought one of those chromebooks might fit.
The incentives issue is concerning. The move to services has already gave the Settings App a grocery store feeling (“click here to get more storage/family pack”)
It’s interesting that I never considered why OLTP and OLAP are basically orthogonal technologies. Are there any major players that have an integrated solution for both?

I guess it makes sense because the infra is so different, but I’m not sure whether it need be.
https://www.youtube.com/watch?v=Ds38T8wVuDg
woah, actually impressive scrolling and video demo
You are right, I checked and 5.5% appears to be the national average now. It used to be 6%. 5% happens where prices are higher.

Redfin offers a 1.5% listing fee, and lowers that to 1% if you buy and sell. However you'll still be expected to pay the typical local buyer's agent commission.
it seems like false advertising to me despite whatever lawyer speak or faqs they add. I've spoken to multiple people who swear everything stays on device and distrust openai, yet don't realize their local data is shuttled to openai as context for questions. this is AI, so what data you send to openai isn't really controlled either despite what the ceo might say
Your comment doesn't really answer my question... you just typed the same observation from the other side. You've added nothing. Zero value.
It is funny to consider that most of the Milky Way is too dim to see. "Dark" matter. Of those 131 closest stars, only 22 are eye-visible. Only 6 are larger than Sol! WISE 0855−0714 is a mere 7.4 light years away and wasn't discovered until we started putting infrared telescopes in orbit.

Heck, TRAPPIST-1 itself isn't eye-visible. It's only slightly bigger than Jupiter! But these systems are hugely overrepresented in exoplanet surveys-- since we've only been hunting for exoplanets for a decade or so via the transit method, most of them have been found orbiting red dwarfs: the host star is so dim that transits take a big chunk out of their light curve, and the planets huddled up close to the star orbit so quickly that you can get the required three transits in a mere ten years of observation time.

It's a safe bet that there are gas giants like Neptune out there, but by the transit method it would take four centuries to find them! We invented the "hot Jupiter" category after Kepler launched, without nothing that we won't ever find "normal" gas giants without interstellar probes or space telescopes 10 km across.
Sure, some companies will use it. Other companies will continue to use specialised focused tools.

It's why data engineering is a thing in our industry. We move and prepare data for a set of tools, and we pay good money to do so, because we believe we derive value from those tools.

Let's say MySQL offers it, anyone already using MySQL is likely to fence the MySQL instance(s) focused on vector stuff off for various reasons (resilience, different read/write patterns, security, etc.)

MySQL as the (imaginary) basis only offers some transferable skills, because this DB will require different care and feeding.

Like the difference between Postgres and PG with cstore_fdw, similar, but sufficiently different.
ok, so the $5 wrench method can be used to extract the recovery key.
you have, so can you share why your privacy advertising doesn't align with your use of openai? you aren't running local llms, you even at one point tried to use openai's marketing term to get some more hype (ChatGPT for me), so why hype up the AI side while also advertising privacy when the two don't work together?
That sounds like things are working as they should.

Prices for scarce resources should naturally go up, and down if there is lots of competition. If someone is charging too much, they won't sell as much as someone who sets a reasonable price. If hotels are cheaper, then hotels will outperform Airbnb.

I still don't see why you need to ask anyone to lower their prices. The market will force them to lower their prices... or it won't if the price is set properly.

Unless I'm missing something that prevents the market from doing what markets do. Which was why I asked the question.
> Does being tall make someone more deserving of a basketball scholarship than someone born with different genetics?

If being taller leads to better basketball that more people will enjoy watching, yes. I'm not convinced that sports leagues aren't a zero-sum blight, but certainly someone whose fortunate genetics mean they're genuinely producing more for society (e.g. a stronger porter who carries more stuff further, or a more intelligent scientist who does better research, or a singer with a beautiful voice who is more rewarding to listen to) deserves to reap at least some of the fruits of that.

> Labor being scarcer, on the other hand, is a perfect example. Some new large employer moves into town and your boss gives you a raise rather than see you quit and have to pay retraining costs for someone they'd still have to pay the extra $2 to. You haven't done anything different, why do you "deserve" any more money?

Because what you're doing - and it's something you're actually doing, not something you happen to be holding - is worth more. The price of labour is going up because the amount of real-world value produced per hour of labour is going up.

> And yet, even by paying you the extra $2, the boss is still receiving a net benefit from operating the business, as were you when you were working for the original wage. Changing the amount is zero sum, but the activity it's compensating isn't, so how do you want to call it?

Either the value produced is being divided fairly among those who are producing it, or it isn't. Someone who is producing value might certainly be getting paid more (or more commonly less) than they are fairly earning, and that part is zero-sum. But if someone isn't producing value, then necessarily all of their income is from the zero-sum part.

(Obviously if we zoom in on the details there's a spectrum - some labourers earn more than they should through rentiering aspects, and even those who live large off of economic rents are likely doing some minimal amount of productive labour. But I suspect the distribution is pretty bimodal)
The main issue is that we can make more food, but we can't make more land.
We can make more buildings though. You'll notice that most of the appreciation in house prices lately has to do with land, not the buildings.

The fundamental error in our understanding of economics is treating non-produced goods like land as if they were "capital." There's nothing wrong with investing in producible goods -- in fact that's ideal. But when people gatekeep nonproduced goods, especially nonproduced goods that everybody needs to live (ie, land) - that's where everything breaks down.
We shouldn't even have to think in terms of "breaking even" because housing should't be an investing tool. It's a shelter and a home.

Unfortunately, making "good investments" is necessary to stay above water in this precarious society, and our society is so fucking heartless that houses are one of the best investments a person can make. It's both bleak and absurd.
> unless your argument is that only people who went to private schooling can make it here

Most students who come here are from private schools.
The one DB fits all approach only works when the size of the database is really small and never grows. Imagine you have 100 customers. Each customer generates, on average, a million 1536 dimension vector embeddings (considering OpenAI Ada dimensions which is the most popular right now). That is 6GB (1536 x 4 bytes per dimension for f32 x 1000_000) of just embeddings PER CUSTOMER. If you use HNSW it will take at least that much of RAM if not more. If you use PQ (and variants) you can reduce the size of index in RAM to say 512MB-1GB per customer. It is still quite a lot of memory requirement. That is just the way it is and there is no way around it.

Now imagine you are using that database for storing transactions and other day to day business ops that will still be storing millions of records but with small indexes. This would have ideally only required a single DB instance with a replica for redundancy. Now if you integrate Vectors into the equation, you will have to needlessly scale this DB both horizontally and vertically just to maintain a decent query/write performance to your DB (which would have ideally been extremely fast without embeddings in the mix). You will eventually separate the embeddings out as it makes no sense for the entire DB to be scaled just for the sake of scaling your embeddings. I am not even accounting for index generation for these vectors which will require nearly 100% of all CPU cores while the index is being generated (depending on type of ANN you are using) and which in turn would slow your DB to a crawl.
No joke, I did a double-take when I saw the video.
The benefits of using specialized vendors like pinecone is about their offering a combination of performance (clustered/loadbalancing), fast/effective algorithms, and data storage.
Publicly owned companies have a fiduciary duties to their shareholders to pursue all government programs for which they are eligible.

The company, its officers and directors could all be sued by shareholders in a massive class action lawsuit if they did not abide by their legal responsibilities based on personal beliefs.
I see C++ as a scientific DSL definition language. It lets you create an abstraction and define arithmetic operators, iterators and even lets you control dereference and call semantics. The standard helps this scheme by defining return value optimization.
I don't think GenAI is going to fail to get off the start line, because it has done just that.

It has adoption that might not be every person in the world, but the depth and breadth and variety of users is hard to ignore.

Crypto wallets and getting up and running is the failure for most crypto. Yes, there have been improvements to that.

LLM's that took a chat interface went as universal as they could - just a computer anyone can talk to.

One issue with looking at HuggingFace and expecting maturity in 10-12 months is I'm not sure what can be compared as an equal in that number of months in other technologies. I agree it's far from perfect, but also it seems to be improving.

LLM's are just one kind of GenAI as you have pointed out. The AI you were working with before all of this remains relevant.

There's more to this than wanting a prompt to do everything magically. Having to "fine tune" and get each piece working may be the work for a while, and still be usable and beneficial.

Does it need to evolve and get better? It is.

With each passing month are more and more models running on more accessible hardware? It is.

Are people quietly doing a lot with it and not sharing it yet? Sure feels like it.
You might be right about that. Though liquidity arguments are a bit rarer for hedge funds. I hear more about claims of efficient capital allocation.

In any case, I agree that hedge funds are more of a compensation scheme. My opinion of them is relatively low, but that's from the point of that investing in them is a bad idea. I don't think on net they have any bad effects on the rest of the market.
Other commenters mostly made the points I had in mind about companies in the fractional ownership space. Regarding agents dampening investment in housing, I had on mind the fact that the transaction costs of 6% or so when selling makes housing an unattractive short term investment. If that wasn't there I think there'd be more incentive to speculate in housing markets.
This study has flaws.

Namely, the ivermectin was only administered with patients after 7 days of symptomatic COVID infection.

Meanwhile Paxlovid, the patented ACE2 inhibitor is received as a proven treatment when administered early in infection.

7 days after symptoms appear is not early. The game is rigged my friend
Continued fun can lead to innovation and breakthroughs
Rewind launches controversial wearable that captures what you say and hear
That's not even close to true. Hardware regularly has bugs ("errata"), as other commenters here have noted.

Also hardware and software are completely codependent nowadays.

Your trust in hardware is hopelessly misplaced.
Curious how this will work in practice as vectors are specific to a given embedding model, and could be domain-specific for better results. Could it lead to industry standard embedding models, with regular (costly) upgrades?
https://archive.ph/VcJHj
It's something a few of us have looked into, but it's a very complex problem with a lot of sub-problems to solve. Hopefully over the next few years, some new literature will emerge that might help.
> Some standard for storing or otherwise representing the keyboard layout in hardware would be nice.

The keyboards by Sun Microsystems did do that, and their USB versions used the standard.
CHIPS Act Impact: 50% of Fastest Growing Semiconductors Companies Are in the USA
Top 10 fastest growing Semiconductor companies by headcount

1. Inorganic Intelligence

2. PASQAL

3. Axelera AI

4. Tenstorrent

5. SiPearl

6. Rebellions.ai

7. Pallidus

8. Deci AI

9. Astera Labs

10. NeuReality
Link to the article https://goldenpineapple.substack.com/p/chips-act-impact-50-o...
The way to drive out middlemen is to allow competition to make the market more efficient, which will cause people to get outraged at the people who profit from making it more efficient (same thing that happens to HFT firms, which have demonstrably reduced spreads).

The real problem is a lack of supply which is mostly political (although some areas have geographical constraints that make it harder to build... but that's largely solvable by building vertically)
But actually what we want from "search" providers ? What "search" actually is ?? Some OS that monopoly is impossible to avoid ?? Or hardware you can't don't have because your own government or law require it ? Or other dead end, shorter or longer ?

Last week I installed some Debian and Duck was default in FF... What a unpleasant experience... 90's Yahoo catalog or pre-google "search engines" - all was working as expected. Only with Bing and that so called "privacy preserving" clone you are shocked that trivial things to find/match are absent in results...

So Google search is "ubiquitous", simple the best. But is's trivial to avoid ! Not like Microsoft monopoly on OS-like trap. Or Android :)

I personally would pay for good search app, offline, open-source, with _data_ updates. Or probably app is not needed here, just [pretty legal] data to buy. But Unity had some troubles just previous week... Free stuff is hard to match :>
Exactly - vector indexes are so different than traditional RDBMS B-Tree or LSM Tree indexes that it doesn’t make sense to use the same store for both unless it’s basically a toy app.

Someone makes the example in another comment, but it’s analogous to OLTP vs OLAP
They tried to do this in Stockholm, but in the end it completely messed up the apartment market. People end up queing for years, or you buy on the black market for vastly inflated prices.

Demand creates supply, but not necessarily at the price point you want.

The best housing policies work with the market, and use regulation to keep NIMBYs in check, update zoning as necessary and allow builders to build enough m2 to satisfy demand.
The reason everyone's rushing to build vector databases is because they've tried to store vector data in a scalar database previously and realized they're hot garbage for the workload.

You should probably try it too before blogging about it.
Anecdotally, I notice that exercise makes me feel calmer
> Google as a search engine is far better than Bing and that’s just a fact.

It was better than Bing...

Two things:

1) HN and elsewhere constantly point out how bad Google Search is lately
2) The introduction of ChatGPT and DALL-E powered Bing into Edge, the new Windows Sidebar and elsewhere has changed the game.

The new Windows 11 Bing/ChatGPT/DALL-E sidebar is so good that my hot-take is that it's going to put a dent into Google's Search dominance at a depth that Bing and others never have.

My final wild out-there prediction: MS ditch the Bing brand and pivot to using Copilot as their search and discovery brand.
My point is pretty simple and obvious.

If Indian public education is better, why aren't US students going there (and coming back)?

If Indian public education is better, why are Indian students coming to the US?

> publicly funded education is never good is just plain disingenuous

Pretending that publicly funded education is always good is just plain disingenuous and frankly silly.

Anyone who has lived in India will attest to the utter failure of Indian public education (sans some handful of exceptions like IITs).

Even with IITs, IITians come to the US for their MS or PhD or MBA.
More reading on this: https://en.wikipedia.org/wiki/Inverted_spectrum
Also would seem to encourage slumlords - if it's worth what it's worth, why bother with things like "maintenance", "repairs", or god forbid "upgrades"?
Leveraging homes is almost universal when acquiring property: that's exactly what a mortgage is. Why do you call everyone who has a mortgage an idiot?

Capital gains don't necessarily apply everywhere. In eg Australia your owner occupied house is exempt. And in eg Singapore we don't have capital gains on any asset at all.

A house is both a home and an investment for most people. That's just a description of what's happening. However you could say that a house _should_ not be an investment.
I don't know what the actual fine for tossing a lit cigarette next to a hiking trail in Yosemite National Park actually is, but I'm guessing that I'm going to think it is too low when I hear the actual fine. I know that I found myself in a conversation with a ranger when I found out I was participating in an non-permitted event (even though I was explicitly told otherwise). I received 2 citations with each carrying a $500 fine. Neither of my citations involved the possibility of burning down the park. So I'm basing my expectation of a fine off of those.
in sheep
I know it probably gets tiring to hear it on every thread about search, but Kagi gets just as good results for that hat query, and tends to do better than Google on more serious work. Pinning and blocking domains is a huge deal—it's got a great list of blocked domains natively, and after just a little bit of customization my SEO spam has basically disappeared.
How is wework not already dead? I swear this company was written off like 4 years ago.