skysight-inc/HackerNews huggingface dataset:
I earn $4m profits per year through my software business. I put all of it in VTI.
OpenAI =/= AI

I could sit here and list hundreds of places that AI - specifically deep learning is applied in your daily life to improve it

Yall seem to also forget about Deepmind every time

https://deepmind.google/technologies/alphafold/

They literally solved protein folding with AI and won the Lasker prize

Similarly with AlphaGo etc…

AI is the most frustrating discipline to be in (and also most inspiring imo) because it’s never enough and anything that works, ceases to be AI

AI has always been a technology of faith if you recognize that the lived definition is “any technology that has been conceived but not widely implemented”
You can use oath or rsa keypair for service account auth
Eh, a massive team makes its own major issues. See the many Google leaks over the years.

Assuming software can be secure (and hence not doing proper defense in depth, limiting the types and nature of information processed, etc). is the bigger issue IMO.
Can I use it to boost my personal social media accounts?
> It's just metadata

That's what they always say, honey, before calling the police. /s
It's still in beta (under active development), so for fairly serious projects it's not yet viable in production in my opinion. But I'm using it for two personal sites, and it works perfectly. It's exactly the kind of tool I was looking for: open source, self-hosting, easy to install, easy to use and well maintained.
But they aren't seagulls, they're endangered American oystercatchers.
That is a good reframe.
“Just” is a dubious adjective in this context.
What about oxygen though
The first thing you learn in government is that you’re always underfunded.

If you aren’t, your budget will go to someone who is.
The US is really really big. People way underestimate how huge it is in terms of land area. You could fit Europe inside the US. So the reason Germany or France underspend the US has more to do with the area they have to cover and the number of people they have in their borders.
Expertise in any domain involves picking apart the mundane in progressively more complex ways! I think academia ends up with wild terminology because there's also the constraint of having to write everything down.
Human intelligence has not budged in thousands of years.

Old game designers were just as intelligent as game designers today.

Their games lacked multi-media assets compared to today, but the designs are just as intelligent.

Oregon Trail was simple and very fun, and had various levels of mastery, and enough diversity (budgeting then hunting and vice versa) that it made it entertaining.
> Technically when you get a piece from each, there is no infringement legally.

False in ex-Commonwealth countries and Japan.
Advanced GraphQL Schema Design
I know Morgan Housel has written about this a decent amount, here's one article that jumped to mind: https://collabfund.com/blog/compounding-optimism/

"Technological progress is easy to underestimate because it’s so counterintuitive to see how, for example, the philosophies of a guy who invented Polaroid film would go on to inspire the iPhone. Or how an 18th-century physicist would write a notebook that would set the foundations for a modern electrical system"

From more googling, it looks like this is called "Amara's Law": https://en.wikipedia.org/wiki/Roy_Amara
Of how many animals would we need genetic material from? are there enough dna available that it would be possible?

if all animals will be clones, genetic diversity will be a problem. hopefully there is enough material available. seeing mammoths die out in real time would be more heartbreaking
In total the US executive is very well funded, but individual agencies aren't always well-funded and often lack the specific skillset to properly utilize funding even if they have it, especially wrt IT systems when that's outside their main field of expertise.
The future’s bright if we get there. Each new technology, be it search (with surveillance compute load), crypto, and now AI, places enormous load on the grid, that also serves consumers, something as un-glamorous as air conditioning. AI or A/C?

“Oh, but it’s different this time.”

Shiny objects competing with survival. Tell that to non-1337 working stiffs and retirees on a fixed income saddled with enormous PG&E bills.

Please innovate in more useful and less shiny ways. The planet is literally burning up, not just my little piece of it.
Perhaps I phrased my question wrong; I think you answered what are you getting out of this? My question is what the person writing code for you is getting out of it.
The weakest part of IPFS in my experience is how long it takes one node to find another with the requested data across the internet through the public DHTs. I imagine it might work much better in this system if they're limiting it to only do lookups and fetches within your own network of nodes.
These companies are so massively large that they price in the risk of databreaches as a cost of doing business.

Insurance Underwriters pour through corpo infosec documents, and require only the most basic level of protections.

I think instead, a stricter certification standard needs to be created, and all these large companies must pass ANNUAL audits, or simply lose access to government leased spectrum.
I often like to use an analogy involving a local volcano.

The odds are incredibly strong will not explode today, but the granularity/time-periods matter, and there's a fundamental asymmetry in how we value the false-positive rate versus the false-negative rate. :P

___

"Look, I've made daily predictions for 30 years now, and they're all perfectly 100% accurate, go on your hike, it'll be fine."

<Volcano suddenly erupts in background>

"Did I say 100%? OK, fine, after today it's 99.99%, which is still awesome."
the tradeoff is median of an increased comp incl. health care, and greater job security. People fought for that and will again.
Responsive bar charts in HTML and CSS
It can be both a big deal fundamentally and a major pillar of a weird, scary religion. It is currently both.

Of course machine learning is a big deal, it was a big deal a decade ago and more. We know it’s a big deal.

This Calvinism meets growth hacking, this Scientology for Atherton thing is bizarre and kind of terrifying.

It is in no way surprising that a philosophy that justifies short-run amoral wealth maximization with tired arguments about long-run utilitarianism would turn out any other way.

What’s surprising is that people who talk about imminent digital gods are put in positions of vast power instead of therapy.
Try this https://en.wikipedia.org/wiki/The_Medusa_and_the_Snail

The Medusa and the Snail: More Notes of a Biology Watcher is a 1979 collection of essays by the American science writer Lewis Thomas. It was published by Viking Press in 1979 and reissued by Penguin Books in 1995. Most of the essays in the book had first appeared in the New England Journal of Medicine. It is Thomas's second collection of short essays after Lives of a Cell.[1]

The title essay is about the relationship between Nudibranch sea slug and the medusa of a jellyfish that inhabit the Bay of Naples. It explores how the relationship between the two creatures can be seen as illustrating the impossibility of understanding the notion of the self.[2]
If you took some modern flash and ran it at half capacity by using 2 bits per cell, gratuitous error correction, and lots of spare blocks, I would expect it to store data for decades.

But if we're positing reasonably-priced drives with that kind of tech, I would rather it actually be a tape drive. Let me get a 9TB tape for $40 or less, even if it's only useful for backups and video files.
The twilight zone is 20-35%: https://pubmed.ncbi.nlm.nih.gov/10195279/ (Incidentally, the author was on my thesis committee, but this isn't precisely my field of expertise.)
This would probably be no different if someone like Salesforce had a breach and a large customer of theirs being impacted. There are large companies using SaaS services for a chunks of their back office stuff.
Original Pentium, similar. I didn't remember the exact details, but they tried to make owners happy. After initially bungling the response, they replaced CPUs by mail and handed out rebate coupons for retail Intel junk.
Lit and web components are cool, but "front-end fatigue" is no more real than "Python fatigue," since every technology has drawbacks. Yes, I have forgotten the pain of "bundling," as vite, Typescript, and bun are lightyears past grunt, gulp, and webpack. These days, to play with GPU-enabled toys, I am more often struggling with venv and [mini|ana]conda. The long and short of it is that DX continues to evolve across ecosystems.

Mesop's API is... interesting. It seems to replace all REST/CRUD/MVC abstractions with some kind of RPC, which is a perfectly valid way to structure a program. Certainly it saves Python devs from having to learn that corner of the web domain and its pattern language which, hey, may be pasé? Especially in a world of notebooks?

I can imagine this will open up fruitful partnerships with Web Component developers and also give Python devs an entry point into web UI paradigms, so it's certainly a positive for eg GenAI R&D.

That phrase "front-end fatigue" is just sticking in my craw. Where do Python devs get off complaining of "fatigue" over one layer of the stack or another? Data migrations can be just as tricky. God knows infra tooling is more tedious than anything re: node_modules. Must be some kind of selecting bias. Who is understaffing all these Python shops? Is it academia? Are even private AI R&D departments wary of over-investing in ephemeral interfaces? For testing, at least, I suppose they are. Maybe this is related to the reasons why game devs split art and mechanics for as long as possible.

But at the same time, I can't help but feel we're letting Bret Victor down in some way.

Anyway, while I can easily see Mesop elevating demo day, I struggle to believe it will facilitate agile product development which, hey, might not be where the money is at, these days!
There's also Bywater BASIC, which apparently isn't being developed anymore:

https://github.com/nerun/bwbasic

(It's also in the repos of many major Linux distributions as bwbasic.)

A blog post where the developer comments on it a bit:

https://virtuallyfun.com/2010/06/09/bywater-basic/
Charles Moore definitely believes in modifying the original problem so that it fits forth while he modifies forth to fit the problem.

I have used a similar approach when I needed to get a PoC out in 6 weeks, we made it, but not without drastically modifying "the spec". In one instance the PM wanted continuous queries over geospatial data, millions of points and arbitrary locations along with a time dimension. I changed the spec to use 3 buckets, near, medium and far. That feature took 2 hours, the continuous query itself would have taken weeks or longer.

Successful projects have a malleability to them.
Agreed, that is what happens when Linux syscalls are more relevant than regular UNIX.

See the usual complains about macOS not being Linux, from people that probably should be supporting Linux OEMs instead of buying Apple laptops.
> these toolkits are so complex,

They might be at an API level. At GUI level, they are very simple.
"GitHub" Is Starting to Feel Like Legacy Software
Right now, as stated, the "Yang" side as applied to AI is clearly true. Even if the tech will "change the future" it will be no less correct for us to say that current AI products are overhyped/vaporware and that AI salesmen and researchers are passing off sci-fi stories and business strategies as wise prognostication. Even if what they're saying turns out to be true, it's completely correct to say that they're just (sometimes unbeknownst to themselves) wildly guessing.
These are extremely helpful resources, now I have somewhere to start! The ESP32_CoinCell project looks very promising, since I'm mostly worried about the size and weight of whatever I'll put on the collar. Thank you so much!
How can I upvote this a million times?!
One of the best UNIXes, and one of the few OSes with hardware memory tagging in production.
Also, the current AI advancements result from walking away from knowledge-semantic-logic AI methodologies into more statistics-generative approaches. This is also a result of those methodologies not working properly because of the unsolvable problem of infinite knowledge = infinite space (a HD/compute unsolvable problem) // Infinite divisibility / synthesis of knowledge (also a physical/compute/HD unsolvable problem. Right?
AI can’t solve everything because, although most things can be described and explained. Most other have to be experienced. And even though something sounds nice in text, once experienced we can say if it’s good or not.

For example, an AI can create a recipe that sounds good, but it will never be able to ground those choices on experience. Only through other people’s experiences combined, which might not be great in the end. And it won’t ever produce and adjust it based on its experience.

The same for a lot of other things that AI is meant to « replace ».
The C++ API bound forever to the gcc 2.95 ABI IIRC was also an "interesting" choice. Sure with success they would certainly have engineered a way forward, out of necessity, but if I would have had to give my opinion about that for Apple at the time...
You'd be wrong in small claims court. You'd have to go back and sue again for those damages once realized.
If you look back to the early 1900's you find that excluding minorities was a big reason for zoning regulations and minimum lot sizes. Minorities tended to live in apartments so banning apartments was a good way to keep them out. Immigrants and minorities tend to live in multi-generational households. Ban that as well.
Discussions

(88 points, 12 days ago, 157 comments) https://news.ycombinator.com/item?id=40837081

(89 points, 1 week ago, 47 comments) https://news.ycombinator.com/item?id=40885632
I have done that with Python, coded up prototype in Python. Wrote tests against service interface. Translated the Python to Java in the second version until the tests passed. It actually did save us a bunch of time, esp since the front end devs could use the Python prototype to do their work.
> They literally solved protein folding with AI

AlphaFold deserves some hype but this is a tremendous overstatement.
For their landline customers? I'm not aware of any other ISP that's so shamelessly brazen about the practice.
A.I. Has Become a Technology of Smug Pshaw, Pshaw, I Didn't Understand Blockchain Either And Look How That Turned Out.
Could you please share a bit more on your business and how you got started?
Judgement or not, you will not be able to tow away someone else's vehicle without having the police involved.

This is the process. Small Claims, by nature, is for petty disputes between citizens.
Thanks, that comes from it's REBOL base ideas, but maybe it's even more pronounced in Rye where also operators are just "op-word" functions, and any function can be op-word/pipe-word (also the ones above if loop for ...).
They added a feature recently to make it easy to force mfa
now md navigation is supported, also added dark and kindle theme support
It seems that we agree that regulatory enforcement is a great framework through which to make this happen. I think we should regulate both security and data retention far more aggressively, and be willing to destroy companies if they fail to comply. The lack of an existential risk makes it easier for them to maneuver around other solutions
Interactivity seems much more complicated in Datashader: https://datashader.org/getting_started/Interactivity.html
Whoa, interesting. What did you mean by the 'notebook tab'? Also, if I understood correctly, your workflow is to basically just transiently cohabitate in the "dream-state" of the LLM, starting and stopping at arbitrary points. That's actually pretty cool! Your premise is correct that the conversational interface is really just putting the dream-state on rails; the model itself doesn't actually "know how to talk".
Immediately left.
Well, it is. It's a big ass antique rails app that tries to be fast with turbolinks.
There are quite a few other BASICs. FreeBASIC, PureBASIC, etc.

See:

https://en.m.wikipedia.org/wiki/Category:BASIC_programming_l...

and

https://en.m.wikipedia.org/wiki/Category:BASIC_interpreters

Some will be obsolete, of course.
Every public room in my state's DMVs has a picture of the governor, so that last bit may not mean as much as you think it does.
Painboard: Single Source of Truth for Customer Feedback
donkey?
Updated: They're not actually seagulls. They're oystercatchers.

> We have updated this post to reflect the fact that the birds in this story are not, in fact, seagulls. We regret the error, but also I am not an ornithologist, people.
Comments moved to https://news.ycombinator.com/item?id=40944505.
Link to actual AP article instead of Gizmodo ad-bait:

https://apnews.com/article/new-york-drones-shorebirds-beach-...

and, nominative determinism fans, don't miss "said David Bird, a professor of wildlife biology at McGill University"
The Xbox 360 was PowerPC running a variant of the Windows 2000 (NT) OS.
https://en.wikipedia.org/wiki/Xbox_360_technical_specificati...
Class action suits regularly end up getting you "$5" worth of credit monitoring from the exact company who lost your data. It's a joke. Class action suits as they exist today in the US are an abject failure of justice.
Seagulls are underrated IMHO:

* Very good at soaring, expending little energy compared to ducks and other waterbirds.

* Can take off near vertically from water or land, without requiring a long runway like cormorants.

* Highly intelligent including tool use (https://susancunninghambooks.com/blog/2018/8/23/the-secret-l...)

* They will eat almost anything and will employ different techniques from hunting for live prey to opportunistic filching of dead fish and other animals' food.

* They have an enourmous range and are very adaptable. One South American species nests in a waterless desert and brings water and food from the ocean to its young, a distance of up to 100km. (https://digital.library.unt.edu/ark:/67531/metadc331083/)

* Lifespan of many decades
Source video/interview:

https://news.ycombinator.com/item?id=40944164
Machine learning is really the only way to deal with non-formal, unstructured data, there is nothing to believe, the technology has been battle tested by billions of people, just think of BERT used by Google Search or all the AI models used for moderation, translation or detection and many more cases. But I guess all these use cases are just too boring to talk about today, AI has already helped millions of people at least, including me since I'm a native English speaker, I learned a lot just by using Deepl or YouTube with the auto-generated captions (which are much better today than they were in the past).
It's really nice to have reliable tools that you can learn once and continue using a decade to free your mind up to master other parts of the job. (like the CSS in JS flavor of the week)

Same thing seems to apply to Visual Studio Code. Sure they have a big changelog, but the actual experience of using it feels very much like when it first released.
Gitlab has been much faster than Github for a while now.
> scroll bars have been redundant since those mouse wheel was invented

I bet you never used a mouse wheel on Windows 10. /s

(Some time ago MS decided that focus follow mouse shall not be used anymore for mouse scrolling)
>strong-ish labor laws

The battle is never over. In the US labor unions reached a zenith and have been undercut and dismantled as a multi-decade project.

The incentives are clear. Our systems drives ever onward toward slavery, the only remedy is pushing back through the generations.
Thanks! I'll try that this weekend.
Finally, I can run a domain controller off an old G3.
Yeah but my point is they probably did the other 499,990 things right, but will get no credit for it.
This is not far from a real product in Japan: a toilet with a hand washing sink on the top. Presumably the water used to wash your hands is reused flush, saving water.

https://www.snopes.com/fact-check/sink-toilet-japan/
Wild, that's really complicated. A bit of a tangent, but one takeaway for me there is that neural nets are _far_ more dissimilar to brains than I thought. Sounds like a lot more going on than "signals add up to threshold"!
This is a great tip as most people only know of the big 3, thanks for sharing
> "We’ll soon have near-AGI intelligences (GPT-5)"

Does anyone technical believe GPT-5 will be even remotely close to anything which has even a vague resemblance to AGI?
A while back I started on an experiment to build a local-first GitHub client: https://github.com/tinyplex/tinyhub

It certainly _seems_ like the GitHub interface should feel more like an 'app', and less a 'site'. Or just me?
I would like to sue AT&T in small claims for this and for leaking my Social Security number. But it's difficult to prove damages in these situations.

Does anybody have any advice? Proving damages means showing actual monetary harm.
(Molly here.) I added the “All PACs” page largely thanks to that Bluesky conversation with verdverm (thank you!) The “all PACs” page is the full picture.

It’s showing the same data that verdverm linked over at the FEC, which places Fairshake at #9 out of any kind of committee. Arguably ActBlue and WinRed shouldn’t really be listed there, since they are fundraising platforms that serve as an intermediary.
I wonder why they didn’t just continue this under the Alexa product?
> paying fines rarely, if ever, causes these too-big-to-fail corporations to materially impact them.

That means the fines aren’t big enough. They should probably be scaled according to the business’ revenue.
> The problem wasn’t that the line I wanted wasn’t on the page—it’s that the whole document wasn’t being rendered at once, so my browser’s builtin search bar just couldn’t find it.

Ctrl/Cmd-F is intercepted on blame/code pages and opens a custom find UI, which honestly seems fine to me. Browser find-in-page isn't meant for code search and it's pretty slow.

Maybe GitHub is switching to React (I don't know anything about that), but React doesn't mandate, or even natively support, culling offscreen content, so I'm not sure what the connection is there.
MDN docs:

https://developer.mozilla.org/en-US/docs/Web/CSS/@property
> These companies are so massively large that they price in the risk of databreaches as a cost of doing business.

Just make the fine a % of the annual revenue and that will change.
Does anyone know of any client-side blame front-ends for Git? I used to use the one from Git Extensions, but since an indeterminate amount of time ago, it just stopped working for me.
Gitlab is genuinely better in many respects (aside from their rat's nest of settings menus).

For example, if you merge the middle branch in a stack of branches, gitlab will retarget the higher branches. Github just orphans them.
> Or just me?

I am just a data set of one, but I disagree. Github the website has worked pretty great for well over a decade at this point. As the author of the post says, it is more recently that some cracks have started to show.
It was a classic example of an over constrained problem.

They tried to find the loopholes and thread the needle but failed, at least in the court of public opinion.