skysight-inc/HackerNews huggingface dataset:
It is true that every major DB ventor, SQL or not, is smashing the AI/vector keyword on their front pages. In Elastic for example, their vector capabilities have gone from laughable to respectable in a year. Its a lot simpler to just use one DB instead of many.

But a question for true DB experts here:

1. Is there any real advantage to building a dedicated vector DB from scratch?

2. Is vector DB something that can be just 'tacked on' to a normal DB with no major performance penalties?

We know from history, that data warehouses are genuinely different from databases, and cloud data warehouses are overwhelmingly superior to on-prem ones. So that emerged as a distinct, enduring category with Snowflake/Databricks/Bigquery.
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I'm a software engineer with 4+ YOE mainly interested in distributed systems/backend engineering, also i have intensively been exposed to FullStack development.
What i love the most is delivering business value and getting hold of the whole product wide functionalities and responsibilities. I've built bunch of products/projects from scratch and scaled it, so my experience in all of the aspects is pretty diverse.
If you think i could be a part of your team let's chat;)
I mean... sure, a silicon valley company is offering fractional ownership. I don't see how that supports silicon valley making housing more of an investment. But, sure, dunk on a common boogie man.
The MVP might have the free "good enough" AI voiceover, it takes less money to bootstrap a new product that way.

The real product would have a real voice over actor paid for with VC money.
I think the move towards vector databases might be more hype than necessity. Traditional databases, when properly optimized, can handle vector data for many use cases. The push for specialized vector databases could be re-evaluated in terms of efficiency and cost-effectiveness compared to optimizing existing scalar databases.
Are you hiring intern?
holy shit, i’ve wanted exactly this for some time now. here’s the excellent x86 equivalent (sse through avx512): https://www.officedaytime.com/simd512e/
I got it working but I have to restart constantly because it chokes on bad syntax errors. It also doesn't show method docs unless it's being used correctly, so I end up having to browse the web docs.
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I am in academia and I see the same thing among my colleagues. In physics and chemistry. I also see a lot of data manipulation, lies in methodology, omission of any flaws in the studies, just to get published. Because that is the only measure of your value ti the institution.

Fuck, even the head of the institution publicly announced that only quantity matters, not quality. Because the government funding for research also depends only on quantity.
Businesses Look Beyond the Cloud to Run (Local First) Software
There are multiple competing flotillas in the works. Ukraine shows this is a strategic military capability, so China and Europe will subsidiZe their own

The ship has sailed.
Defaults definitely matter (that's why Google pays Apple for default status), but legally what matters is if the contracts are exclusive. That's what this fight over the "power of defaults" is about. Microsoft and the government argue that they are exclusive because, while consumers can change the default, they don't in practice.

But the fact that consumers clearly know how to change the default on Edge fatally undercuts that argument. And if the contracts with Apple aren't exclusive, Google can't be liable for them under the antitrust laws.
first time I hear about recursive vm. I suppose it means running a vm inside a vm. now curious. why would one want to do that ?
All these years using Firefox, I did not know this feature existed.

On the other hand, a few years ago I accidentally triggered PiP in mobile Safari, and it worked so inconsistently especially on YouTube when switching to another app, that I dread using it.

(Recently invidious showed how to do it properly)
If you use iOS Japanese romanji keyboard, typing "maruichi" will give you all the options.
The i7-12700F is about 2x the compute power at about 1/2 the power consumption of my current Xeon CPU. The cost to power older hardware is not factored in to my calculations. I'm not also not necessarily getting 2x the work done if I had a CPU that is twice as fast - most of the time the computer is just doing menial stuff. I do have some tasks that max out all cores (no matter how big the system is) and that doesn't run too often, maybe once or twice a week typically. A faster system might save me a few minutes of my time. So far I haven't really needed to upgrade.

I don't game, I write software, and about the only thing I'd like to be faster is compiling an IoT/C project that does slam all my cores and slow things to a crawl. But it's rare that I need a full recompile and the old system does well enough.

I do also have a 12700F system that my work supplied, and while it's brand new and has Windows 11, it's rare that I find it performing any better or making me any happier than my old computer running Windows 10.
I don't think any of your comments here help elucidate anything. Just because the Bible talks about slaves, it does not codify that every descendant of a slave is a slave. At least, not to my knowledge. Your comment seems very unhelpful in the context of how these things are decided in the USA. The precedence that religious customs such as Sikhs wearing kirpans have been ruled in favor over anti-weapon laws. The state can pass whatever laws it wants. It is up to the courts to decide these challenges.
> I wish they also had more options for just a place to crash for a night, like in a spare bedroom.

couchsurfing was a great option once upon a time. the customary 'fee' of paying the host for their takeout or dinner and drinks for the night was really worth it.

i guess this informal custom has gone the way of hitch-hiking?
Effecient OLAP queries need a different shape of data - some combination of columnar storage for efficient scanning, and roll-up tables with pre-aggregated measures. Even in an integrated scenario, behind the scenes there will need to be a bunch of copying to transpose and / or refresh roll-ups.
I would love the compliance plan to force a new design for the satellites that would allow a remote capsule to dock with a booster for completing the de-orbit maneuvering. I'll allow for the launch of this capsule at the same time you are launching the new bird to replace the one attempting to de-orbit to make it more efficient.
You can't wish or legislate away the law of supply and demand for basic needs and physical goods.

E.g., even in North Korea there are black markets where prices go to the equilibrium value.
Gen AI is merely one component of AI. Crypto and web3 are what you see what you get.

There’s still a lot of evolution to be had with AI; for example gen AI to interactive AI that uses all the bits we’ve seen so far to compose experiences with more than chatbot interaction.

If anything is going to die in AI it’s all the bespoke projects, not AI as a whole.

Am working on a Linux distro that ditches userspace as we know for a local LLM (root login is still available). The goal is no user accounts, /home and the AI encodes user data as vectors to disk. Need to successfully unlock the vectors rather than a user account.

So far it’s Linux From Scratch, Wayland, hyprland which displays the GPU viewport.

There is still a lot of weird stuff to do with AI. What do I use blockchain for except as yet another fiat currency
That's a fine line you're cutting there.
As far as the big players are concerned, Google offers AlloyDB (https://cloud.google.com/alloydb) while Amazon offers Aurora (https://aws.amazon.com/rds/aurora/)
There’s some truth to that but our algorithms and datasets have advanced in the last few years. Especially since the CNN + Transformers revolution. Many large well labeled datasets available for things on the road or home.

So one could say, the computers have learnt the basics enough to do a better job at captchas than humans can.

This will keep on getting better (or worse depending on the perspective) I.e machines will edge more and more into what humans exclusively were good at that it made economical sense to use computers.

AI’s goal is to drive the price of labor to zero.
Tim Minchin - musician and composer.

Doesn't read | write sheet music (see youtube interview linked in GP comment)

Oxford English Dictionary:

musician - A professional performer of music, esp. of instrumental music.

Wikipedia:

Timothy David Minchin is a British-born Australian comedian, actor, writer, musician, poet, composer, and songwriter.

Also - pretty much the entirety of Indonesian traditional ensemble musicians (Gamelan and other) going back to the bronze age - no sheet music so no reading writing music - they train like Homer delivered poetry and use non Western scales - their music is available in notation, but notation created by westerners.

Here's a bit about Western students learning to learn music w/out using sheet music ...

https://www.youtube.com/watch?v=xHgdrzgtBik

They're not some minor outlier either, btw - "With over 278 million people, Indonesia is the world's fourth-most populous country".
Charging can be unprofitable in areas without built demand.

Most fueling station profits come from convenience sales, especially so for the corporate stores who price their fuel the same (or lower) than all surrounding exactly for this purpose.
I would love to see the launch capabilities of a black market that would allow it to remain clandestine. Otherwise, the 5-0 would be showing up and shutting it down.
I doubt that, personally. Especially back when people could dream of larger returns as illustrated on many TV shows, I seriously doubt 6% even registered on most people. Seems the main thing holding back more folks was lack of capital. Not fear of 6%.

Would be interesting to see data on this. Didn't Redfin have a reduced commission path? Any evidence that led to more speculation?
I am confused. Then how do you ship a product?

MVP i get. Tech free product I don’t.

Unless we are talking selling something that doesn’t exist.
> 2.3 cents

The exaggeration isn't even necessary, this is like a $1 fine for someone who makes $100k/yr and $30k on hand. I've had parking tickets which cost more for things which weren't even my fault (missing signage) but had to pay anyways because it's even more costly to take it to court.
Any information on what panel this is using?
What bubble? If you mean the hype bubble of every company trying to build LLMs into their product, then yes. IMO LLMs will render a lot of existing software obsolete or at least so fundamentally change the way we interface with them that the incumbents are likely to perish to newer, more innovative companies. If you mean a stock market bubble... I don't see one of those at the moment.

If you mean the bubble of excitement for AI, then I highly doubt it. LLMs are paradigm shift in how we use computers and what we can accomplish with them, and we've barely scratched the surface of them.
Well you could store numbers all fine, but indexing vectors for similarity queries seems fairly recent and not all that widespread in the transactional world.

As the traditional db move forward in the space the need for dedicated vector databases will likely shrink, except for some very specific implementation that offer unique enough features (I.e. deeplake does vector search over object storage, which is very convenient for certain specific scenarios)
From this view, science (singular) is only achieved or perfected once reality can be (nearly) mapped 1:1, which, as we know, is not a realistic goal ("all models are wrong, some are useful"). Beyond replication, wissenschaften (plural) additionally encompasses descriptive methods, which is less about predicting social dynamics and more about summarising sociality to a certain level of achievable granularity.

Hence why I brought up the difference and why I think language differences are important--the ways in which scientists, academics and researchers understand practices of knowing and knowledge building informs their scientific process and the models of reality they hold as true. Besides, models frequently 'drift' and are rarely cut and dry[0], just as blanketing all social science models as irreplicable is simply not true (see Lotka's Law or the Barabási–Albert model; statisticians contributing greatly to social science) [1][2].

More problematically, and not necessarily directed to your views alone, is the continued 'dunking' on 'non-scientific' disciplines. Why are humanist methods held to indefinite scrutiny, while similar criticism could as easily be directed elsewhere? For instance, dismissing physics as 'not a science' because models fail to predict quantum phenomena, mathematics as 'not a science' because there are limits to provability, machine learning as 'not a science' because source corpora are subjectively chosen, and so on (just examples, not my critiques of them).

It is precisely why I regard computational social science as important, seeking to bridge the seeming incompatibilities between exact and inexact phenomena. Even after more than a century of social science, we are only at the cusp of understanding the foundational patterns that make up social life, with contemporary computational methods and data collection capabilities offering new levels of detail into phenomena that were previously difficult to investigate.

[0]: https://en.wikipedia.org/wiki/Concept_drift

[1]: https://en.wikipedia.org/wiki/Lotka%27s_law

[2]: https://en.wikipedia.org/wiki/Barabási–Albert_model
> Are you serious? That's 400m. [...] Aren't there shopping malls in the US longer/wider than this?

It's not like people go to malls as frequently as they go grocery shopping, so this doesn't really imply anything. Also don't forget you're carrying potentially heavy bags. Also don't forget not everyone is a fit 30yo.
This is true, and not widely cited because the Allied bombing of civilian areas was horrific, dwarfing the suffering inflicted by the two atom bombs.

WWII was awful.
Postgres and Mongo support it. ElasticSearch incorporates vector search. I have failed to identify an objective difference(beyond marketing nomeclature) between any pure play vector solution after exaustive research.
https://www.washingtoninstitute.org/policy-analysis/inside-s...
This subject is taught in undergrad computer architecture courses along with machine coding. As an EE, I learned it in grad school.
A house should be an investment in the sense that it is a vehicle to build equity. The whole point of paying a mortgage for 30 years is so when you retire, you own your house free and clear and don't have a house payment. Which means you can retire on a comparatively smaller nest egg.

Now if you want to say that you should buy a house betting on significant capital gains over inflation, that's foolish.
So has there been much progress? Is there, for example, a rich text CRDT editor that adheres to these principles?
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Remote: Yes

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Resume/CV: on request

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I'm a software engineer with more than two years of commercial experience. I do mainly the backend, but sometimes I do a little bit of work in the front end. I have a huge interest in Database Systems and Functional programming. Now I'm in search of interesting projects. I can adjust to the team timezone. If you are interested, feel free to email me
You're forgetting about the ePrivacy directive (or "cookielaw"). That has nothing to do with whether the information is identifying or not, you need permission for everything that isn't strictly necessary to deliver the service the user requested.

Analytics is not strictly necessary to deliver the service.
But there is still a chance for Gundams, right?
A curiosity-driven question: What was the role of the scribes?
Yup that’s correct
The short version: The team had no problems with the language when I introduced it back in the day, but after writing over 300k+ SLOC of production code over 6 years we bumped hard into a lot of the typical ecosystem problems that tend to crop up in discussion. We still have systems we support written in it which won't be phased out for years, but no new projects will be written with the language.

If the team had been full of diligent Haskellers they'd have stuck with it, but they aren't really the type to align with a language/paradigm, and so a slow pivot into F# was decided ~2 years ago via a well documented RFC process.

I'm personally still a Haskell fan, but my hand isn't on the keyboard anymore. Not my place to make the tooling choice for them.

No one above me cares about this type of choice since we're a small backend department to internal customers. As long as the team is delivering results by the deadlines we commit to we get a lot of freedom to use whatever tooling we think makes sense.
The AZERTY layout is nothing if not inconsistent.
NewPipe's implementation is clean, too.
I live in a rural location. No cable internet. I work in tech. Still, I’d personally not give up the night sky for a faster internet. But I see your point.
Okay... I mean, I see where you're coming from I just don't think that riots and unrest are the best answer. The best answer should be that the problems are solved actively and decisively but... that isn't happening, and the people in charge are just... staggering about like their strings have been cut, which is odd.

It is all very weird.
I hate to speculate since real info would come from people who worked there and surely prove me wrong.

But you asked for it so I'll do it anyway ;)

Looks like with Clark's background he had already built things for Amazon that are more profitable than what Petersen has built.

This could be a fundamental seed for disagreement that could arise at any time.

One thing's for sure, Clark is capable of making profits happen and that's what he was there for, I am confident he would not fail but I think all were disappointed at how long it might take.

Meanwhile, Petersen decided to divert his attention from Flexport, to becoming a VC, maybe it's a good opportunity and would be possible to get an earlier return from someone else's company more so than his own.

Then on his own it seems like Clark might have wanted to accelerate progress by leveraging more of their war chest, he presents incredibly low risk compared to alternative executives, but it just shortens their runway if things can't be turned around in time.

As can be seen Clark's growth strategy has been replaced by circling the wagons for now.

I've seen things like this happen and it's actually kind of embarassing for a company if they can't prosper more with a leader like Clark than they can without.
Right on cue, here is an "Into The Impossible"
podcast interview from Brian Keating:

Stuart Hameroff: Is the Brain a Quantum Computer

https://www.youtube.com/watch?v=Q6gpp70yvgo
Ask HN: Why aren't we using ChatGPT in the CLI?
Such as what? Sounds like you already have a conclusion in mind.
There are enough humans that would fail that test that I don't think it really differentiates anything. See the success of social engineering.
You can also just rip the captions straight from YouTube (which Dan generally does a good job with), though you miss all the on-screen visuals, which can be quite amusing to pause and read.
Ah, the internet. Where homeownership is unironically being compared to slave trading.
Qualcomm’s SoC includes a modem. Apple’s modems aren’t integrated.
I like this feature a lot. I would be upset if websites could arbitrarily prevent me from using it at their own whim. Anyone that doesn't like the pop-up which appears on hover can disable it themselves in the settings. It isn't your decision.
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This is quite funny but you do get used to it.
Exactly. We use Supabase too but are at a scale where it just made sense to use a second, dedicated vector db (Pinecone) than to bloat our Postgres db that has a completely different workload
Leap seconds are gone now, no?
Profit is up to other factors. Lower costs means you need less revenue to make a profit, but of course it does not guarantee it
Related:

What scientists must know about hardware to write fast code (2020) - https://news.ycombinator.com/item?id=29601342 - Dec 2021 (29 comments)
When you think about how to enforce lockfile on monorepo it comes up as one of solutions.

Many people don't realize that you can enforce only single lockfile (ie. at the root of your monorepo, any other lockfiles will be ignored).

One of colleagues proposed and implemented elegant solution based on bundling backend code - that's what ends up in container image when it's built.

It works very well for us.

You end up with minimal, tree shaked code (with mapfile of course <<which can be inlined>>) in your production containers, which resembles go-like single binary builds which are reproducible.
I can also eat a bacon and spoon of sugar with it. Or steak. That is not the point.

And no, I can't train my body to almost any regime. My body needs nutrients and calories. When food does not have it, it is not healthy food.

My point was, people do not eat just salad as their only food, because despite having Fibre and vitamins, it does not contain what your body needs. And that "any calories baad" thinking is an eating disorder.
You'll loose lockfile pinning/reproducibility if you do that.
Not everyone does.
Local-only projects are coming back in mid October (Insomnia v8.3)
Many people are. It's quite popular to build yourself as it's quite easy. There are also more extensive implementations like https://github.com/KillianLucas/open-interpreter which is wildly popular (>27k stars).

You can also use local LLMs via cli which is also quite popular https://github.com/jmorganca/ollama
http://web.archive.org/web/20160304045703/http://blog.comeal...
The issue with graph engines that manage the layout themselves is that it becomes very messy the higher the number of nodes you have. I've experienced this with Mermaid.js and Obsidian.
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An Overview on Testing Frameworks for LLMs
similarity is bijective