skysight-inc/HackerNews huggingface dataset:
I've been reading a bit but it seems you can't add containers after you have booted the Flatcar distro. So define it on first boot or reinstall?
It's a new OOP system for R.

repo: https://github.com/RConsortium/OOP-WG

talk: https://www.youtube.com/watch?v=P3FxCvSueag&t=258s
Inter-tribal conflict is a constant feature of human behaviour.
I’m not surprised at all - the only way a megacorp-bashing speculation-over-substence article could be voted any higher is if we somehow managed to squeeze “written in Rust!” in there :P
irc -> mastodon

pop -> pop tls

ldap -> ldaps

ftp -> scp

http -> https (ssl -> tls)
A fair trial and (if there is evidence) a long time in jail.
Pythagorean Theorem via Geometric Progression
From Cut-the-knot a proof by John Arioni with a derivation of the Pythagorean theorem that depends on the convergence of the geometric series.
We're still in early testing phase so haven't implemented billing. Happy to let you test for free. Survey is just to understand the people that would find this useful. Hope that makes sense.
"Exposure: Inside the Olympus scandal: How I Went from CEO to Whistleblower" is a great book that is in part about fraud by mergers and acquisitions.
From reading the article you linked, it appears they violated the law by refusing to negotiate, not by giving non-union workers benefits that they didn’t give to union workers.
You may find https://represent.us/anticorruption-act/ interesting. Gerrymandering is just one of the issues. They try to deal with gov't being the gateway to lobbying, and the impact money has on policy more generally

When they originally started, I supported them, then they turned into something I could not. They seemed to have moved back from that stance, which is nice to see
This is some weird elitist bullshit.

Do you know what belongs in libraries. Books, newspaper, interactive media, movies. The knowledge, writings, and creation of human culture. Humans are not machines. We need both knowledge and entertainment to survive and thrive.

Publishers would lock up society and culture and charge you to use it. Fuck them.
These categories are useful enough to apply not to just engineers, but also to engineering managers. You would perhaps think that part of going into management is being more understanding of people and the problems that occur when a "simple" engineering solutions meets human nature. And yet, I've worked with managers drawn from engineers who still operate as if the people working for them are simple machines. All they have to do is read the requirements, give accurate estimates, follow the process, use the tools, and TADA out comes working software that meets user needs.
In the early days of Electronic Arts (I wasn't there, but knew lots of people who were), Trip Hawkins used to say to his employees who wanted credit, "If you want that, give up your regular salary & stock options, take the risks, and go out on your own. If your game is any good, we'll produce it and you'll have the royalties."

So he had a Hollywood-ish model: the big studio backs an independent who makes the movie -- it doesn't make the movie with its in-house talent, like in the 30's and 40's.

I have no idea how it works now, by the way.

==== epilog ====

We (Analytica) had a softball game against EA. They killed us and Trip hit a towering home run.
I've been working on LiveSvelte[0] which might answer this in the LiveView example. It integrates LiveView with Svelte and has SSR support by calling Node from within Elixir, I wouldn't call it unholy, it's quite nice :)

Routing is fully handled by Phoenix, and you can get quite fast page transitions with Live Navigation Events. It's just that whenever you need complex frontend state you can offload it to Svelte, while still maintaining that backend interopability, in this case with E2E reactivity.

What's also really nice is that LiveView and Svelte are both very declarative in the way they handle the 'view' layer. And so they map really well onto eachother.

I also wrote a blogpost[1] on the topic.

[0]: https://github.com/woutdp/live_svelte

[1]: https://wout.space/notes/live-svelte
While the race to incorporate longer and longer context (2K PaLM -> 32K now) is interesting, I don't think that'll scale. It'll just add too much noise to the history: how do you establish a causal relationship between what you're holding in your hand, versus the million other things (context) that you've seen in the past. You'll end up with spurious correlations.

What I think (and this is just me talking out of my ass) will be required is some form of associative long-term memory. Basically, give the model a way to store some embeddings in some form of memory, and then retrieve them based on context: so it doesn't matter if you encountered that item 2 tokens ago, or 2B.

At least this is what my current intuition tells me.
Not a co-op, but in NYC the UFT (teachers' union for the school districts) started its own charter school, which ended up performing horribly and getting shut.
Micrometeorites and solar wind seem like they'd be pesky obstacles to a membrane. JWST experienced a strike almost immediately after it was deployed, which is quite tragic. The bigger the target, the easier it is to hit.
The big four prop up the business world, status quo.

Say your a large company listed on the stock market, so pick from the four big companies because serious companies use them, who's the CFO an ex-account from the big four who knows their orderand process.

Now if no other companies can enter that bubble, are we really surprised at the outcome!?
> Is it because they bring up things you hadn't considered

Nope. Almost every time it's just a lack of drive to actually go and have that conversation. And almost every time, the conversation for a thing that's "complex" is short, there's no blockers, and the thing isn't actually that complex.
This is a real difficulty of being competitive in SWE. The general industry moves so fast that one must often hustle so much to remain competitive as to risk burnout. This is particularly bad for those with competing life priorities (e.g., families, health, etc.)

My suggestion would be to find some niche that allows to you not face that constant hustle. Look for the Venn diagram where you can add a lot of value, but the competition isn't as fierce. For example, if you are both good at coding and understand, say, physical systems like HVAC, you can focus on an industry like building automation that doesn't iterate as fast. Or maybe you really like aviation and can develop CFD models. Point being, it's much less competitive when your field requires two complementary, but distinct, knowledge bases.
In many developed countries, yes, we would expect that. It’s a pre-school and it’s essentially an administrative issue. And we would probably not need more than one officer, perhaps armed with a notepad and a pen.

Refer to the legal principle of proportionality.
Let's be clear, AI is not making it easier.

Some imagined advancement of AI so great that it trivializes the kinds of attacks that nation states study is.

But you're applying that to the concept of the world as it exists now.

At that point the concept of just being able to infiltrate the power grid because it's designed in a way that's flawed to infiltration isn't a given.

The idea you can't have some tireless force actively adapting to every single imaginable exploit isn't a given.

The idea you can't have a tireless force trying to come up with attacks to in turn be mitigated isn't a given.

The idea we can't suddenly design massively independent renewable power supplies with thousands of sudden advancements isn't a given.

To be honest, the idea we can't disrupt zealotry isn't a given, just like people think it'll be used to "hack" society for the worse, why can't it be used to hack society or even the individual to be less likely to want to do that? I mean if it can take down power grids easily... how much more quickly can we move to a post scarcity environment?

This doomsday scenario requires not owning your mind to what the model could do except nefarious things... but the nefarious things you're describing would be literal miracles. The odds it can only preform miracles that are taking down power grids are pretty low.
> If users need to expose an entire bucket to the public Internet, make them go to the effort to put a service in front of the bucket.

This would defeat the purpose of using S3 to serve static content, which is one of the main usecases for S3.
I think closest color name is great, but re: discerning RBG values, I think folks trying to do so would be in a great position to decide if HSL values really are easier to parse.

https://sujansundareswaran.com/blog/why-hsl-is-better-than-h...
Luck? I think you're under the mistaken assumption success is directly tied to competency. It's not. The only advantage being skilled gives you is a slightly better ability to know where to look for luck. And possibly the ability to make fewer mistakes once you find said luck.
FIRE for me. Been saving up good chunk of earnings for the past several years just for the financial independence aspect even without the potential of AI displacement. Having said that, if disruption really does get that bad, then I question what my investment portfolio will be worth.
In spite of having been there a number of times, it was only GPS that got me to the point where I didn't need to basically give up finding something a few times a trip.
> How to make it parabolic?

Constant acceleration?
Awesome! I keep hoping RTS will make a comeback in popularity
Centralisation of failure points matters in this context.

"Real" blockchains don't have downtime, etc.
This is incorrect. It’s an immutable OS. But containers can be started and stopped as much as you want. It’s the sole purpose of Flatcar.
Apparently those businesses have positions that could be charitably called “Elon handlers,” to keep him from doing to them what he has done to Twitter.
Kiwisdr maintains the software that is used on the web frontends of their SDRs, they just disabled the feature and (at the time) people couldn't use it anymore.

There are other ways to triangulate signals, but that means buying receivers and putting feet on the ground.
The benefit that offsets so much pollution your face goes from clean to dirty from 15 minutes of walking around?

Maybe in the “real world” we should discuss solutions rather than conjure up excuses to accept major problems.
And if we get anything like the launch prices SpaceX has talked about for Starship, we could launch a lot of them.

There's still the cost of the telescope itself, but it's probably possible to save money on that when cheap launch lets you build heavier, and mass-produce the telescope.
What’s Behind the Fight Between Pope Francis and the Latin Mass Movement?
>I'm a bit surprised that other "better" programming languages haven't done more to replicate the Tidyverse

Python has a very weak metaprogramming story so it is hard if not impossible to replicate something like Tidyverse in that.

If Ruby had succeeded in data science instead of Python it would almost certainly be with Tidyverse-like abstractions.
> You could still do that with Cloudfront.

You can also expect users to audit what they do with S3, which is something they should already be doing, and that does not force anyone to suddenly refactor their whole deployment workflow.

It makes absolutely no sense at all to argue that public access to S3 should be shut off and those who use it should start paying for CloudFront just because you feel that its too hard to check if your bucket is set to grant public access.

Also, there's already AWS Config for those who feel they need guardrails to enforce a specific configuration. AWS Config even let's you put together a Lambda to switch off public access to a bucket if some sloppy fingers indavertentlh set it on.

https://aws.amazon.com/config/

It boggles the mind how anyone could suggest with a straight face that your personal usecases should be automated away even though it screws over everyone else using it.
These are high level safety features that replace another sibling high level construct: The garbage collector.

It's a different style of programming but still high level. Make no mistake the abstractions are high level but the cost is zero, hence the term zero cost abstraction and the association with "low level."
The Great Derangement
Brutal attack of former SF fire commissioner in Marina District
Definitely do that demo - I think it would be more compelling than the kind of things that are in every intro BI tutorial.
The Starry Sky of GPT-4. So Human. So Different
It is sad that these sort of discounts exist. You should never get discount with crimes, but the penalties should always scale linearly with amount of damage or importance.

I think 200k for each person involved would be entirely reasonable and make the companies and people really fear these crimes.
I love the human factor, llama was a thing only research would of had access too, of course it leaked and everyone swarms to get it a try and we get some first class support for apple hardware!
Can we stop spreading these before any real proof.

The twitter blocking substack thing spread like wildfire, but was later proven to be false.
It doesn't take belief if you spend any time observing these communities.

The builders and grifters are in pretty separate camps.

If you're only observing this community on Twitter, yes, you will see relentless, low-quality scams almost as a rule.
> I’m not sure why certain businesses should be “banned” because YOU believe they do not add value. Do you pay them? No.

Yes, whenever they are hired by the public sector. http://recreation.gov is one example in the US I know about.
Taibbi meets the face-eating leopards up close.
> I don't disagree that we're likely to see more and more parameter capacity from our devices. I'm just pointing out that the parameter count race is a bit of an illusion. OpenAI discovered the scaling laws and needed a proof of concept. If they could show AI reaching X threshold first, they could capture the market. The fastest way to do that is to be training-compute optimal. So they had to scale to 175B parameters or more. Now that it's proven, and that there's a market for such an AI, their and other's focus can be on inference-optimal models which are smaller but just as smart.

Good point. That could very well be what they're thinking about, in addition to potential improvements in training data and RLHF methods.

Also, I agree it would be great if anyone figures out how to do something akin to "making a smaller model act as if it were gigantic during training" OR "pruning a gigantic model's 'dead paths' as it learns during training," to get the benefits of scale in training without its costs at inference.
>the mail carriers have to find the final location by using their own knowledge of the area

I imagine it's pretty uncommon these days especially after all the E911 rationalization of the past 2-3 decades. But when I was growing up in a hardly back of beyond Philadelphia suburb we had a rural delivery route which was just a street name.

I imagine most everyone at a university in the US these days still has a physical inbox of some sort. But working as a not-officially-remote worker at a company, you basically can't get a work package to me unless we make special arrangements. (I basically give you my home address on the rare times I need something physically delivered.)
As a test I've pasted that into ChatGPT asking it to edit it so it uses corresponding letters from the ASCII table and it removed the strikethrough flawlessly. Probably won't be an issue for those screen readers for much longer.
please don't advocate AGAIN for EU politicians to compete against silicon valley. They love to do that and fail miserably all the time (but only after having spent troves of money, of course)
There once was a man in New York

Guilty of paying too much for pork

He thought he would never stand

on a trial from the local grand

but corruption was just part of the work.
Case for nuclear strengthens as first new reactor in decades goes online
One of the authors here :) A note on model performance: indeed, the model is not great (yet) at many of the tasks. We released it mostly as part of a tutorial on RLHF to show case how to do the whole training loop and also because it often creates quite funny answers.

There are lots of efforts (internally and externally) to iterate on the approach and build much more capable models and we hoped to speed up the collective learning on how to best do RLHF by releasing a tutorial to setup RLHF training.
Have you looked at R2? You don’t need to put a full service in front. You can set up any custom domain through Cloudflare you want in front of it and then manage access policies through the zone and Access. It would be nice for the default to be when you make it public, all objects are still inaccessible until you set up explicit policies (ie allow all access or just to specific objects). That may be too onerous though as the most common use case appears to be making entire buckets public. You want it easy to follow good security policies without making it a hoop jumping exercise. It’s a difficult problem (not sure why it took them so long to make this particular change though).

You can of course make things public via a secret managed r2.dev URL (it’s a new UUID every time you make a public bucket) for testing and comparing against access via your zone if debugging. But we discourage it slightly in the first place (if I recall correctly it’s a more hidden/demphasized option in the UI flow for setting up a public access) as it’s really only intended for testing as it’s a managed service and we may make functional changes to it’s behavior at any time.

I’m not trying to crap on S3 or anything. They have a much older codebase and larger number of customers to deal with. I’m just highlighting you can recognize that public buckets are an extremely common use case and it’s possible to do better I think without adding a lot of complexity.

Disclaimer: worked on R2
C Rival 'Zig' Cracks Tiobe Index Top 50
Note, take Tiobes index with a grain of salt!
It's telling that your comment is currently 2nd ranked. It comes across generous "there are bright math kids everywhere" but really boils down to "don't talk about how they're black" and "don't talk about how they're women." And finished with "my male friend was disadvantaged, the conversation should be about that."

Obviously a large number of the HN crowd agrees with you because these types of comments always land at the top of any article praising a woman or underrepresented minority for their accomplishments. "Why does it matter? We are all people." That's very easy to say when you are in the position of not having your accomplishments and intelligence questioned based on your race or gender. And it shows how homogeneous the HN community is that these types of comments continue to be upvoted to the top.

Representation matters. When you have no concept of what it is like to be black in the deep south. Or to be a woman in the deep south, much less both, you have no appreciation for why stories like this are so interesting and inspiring to the people who relate to them.
In a lot of cases --- your reward for hard work is more hard work.

In corporate America, hard workers become the path of least resistance for management.

The real secret to success --- either work hard for yourself; get other dumb SOBs to work hard for you or both.
that line of research is still going. https://github.com/lucidrains/block-recurrent-transformer-py... i think it is worth continuing research on both fronts.
Huh?

You can easily verify this yourself.

https://twitter.com/search?q=from%3Amtaibbi&src=typed_query

https://twitter.com/search?q=from%3Acnn&src=typed_query

https://twitter.com/mtaibbi

Edit: Additionally, the Substack thing was at least partially true - I saw it myself on a few links. Some worked, some didn't, so perhaps it was only on tweets after a certain date.
Chelsea Manning had to fight to transition in prison.She wants better for others
why dont these people stay silent?
>> For the first time in all of history, we can create functions in
programming by training them, rather than writing them by hand. In other,
slightly more technical words, we can infer a function from observations and
then use it. Like babies and toddlers do. This is historic, it’s
transformative and it is a fundamental breakthrough.

Nothing could be further from the truth. Program Synthesis [1] has been an
active field of research with many real-world applications since the dawn of
computer science.

Even program synthesis from natural language specifications is not new [2].
Neural program synthesis is certainly not new [3].

Program synthesis from examples of program behaviour, without examples of
programs (i.e. what Large Language Models can't do) is also nothing new [4].

None of that is new. None of that is even particularly well done by Large
Language Models (what the author means when they say "AI" in the article).

The author is misinformed. The rest of the article is also rife with
misunderstandings and fautly assumptions but Program Synthesis is one of my
areas of knowledge so that bit stuck out as a sore thumb.

Please try to be better informed before writing lengthy articles to share your
thoughs on the internet.

_______________

[1] https://people.csail.mit.edu/asolar/SynthesisCourse/index.ht...

[2] For example: https://www.microsoft.com/en-us/research/wp-content/uploads/...

[3] For example: https://sunblaze-ucb.github.io/program-synthesis/index.html

[4] https://link.springer.com/referenceworkentry/10.1007/978-0-3...
That's just wrong? 6 sigma would be IQ 100 + 6 * 15 = 190. 6 sigma is 1 in 506,797,346. So there should be 16 people with IQs that extreme if intelligence is normally distributed.

(There's a factor of two somewhere in here for the two tailed nature, but the point stands)
I guess I don’t know what “war” means? Not a single mention of military
Comparing Immutable infrastructure with cloud-init vs immutable filesystem with ignition. What advantages would flatcar provide.
Take a look at Agner Fog's https://www.agner.org/optimize/instruction_tables.pdf

For example, Zen4 64-bit DIV is listed as: 2 uOps, 10-18 cycles latency, 7-12 cycles inverse throughput.

This suggests uOps with variable execution lengths, i.e. iteration happening in the execution unit and not just a fixed unrolled loop streamed by the microcode part of the frontend.

You may be right that there were some CPUs that did the fixed unrolling, but it doesn't seem that common.
So the public sector should not hire private contractors in general. State it like that then.

How is a mismanagement of consultants by public sector entities a justification to “ban” an entire sector?
A continuous blood pressure monitoring bracelet
Astrobiology: The Rise and Fall of a Nascent Science
But it does bring up the ever-fascinating schism between what we as technologists think is required for a new technology to begin experiencing adoption. and what that bar actually is for consumers and corps.
Well its already "impossible" for most people to know how it works. Personally I know how the sausage is made but not well enough to code my own transformer (yet). I think there is a dichotomy between those who see it as magic, and truly intelligent, and those who know how it works and know it isn't thinking at all. And at the same time a lot of engineers who are using it directly overestimate their own understanding of how these LLMs really work. Interesting times.
That doesn't contradict me. Saying that all attacks will involve violence is ignoring attacks.
Of course, I'm not saying "don't do research". I'm just saying that I don't think this context-length war will lead us to long-term sustainable gains.
Via https://twitter.com/RichardDawkins/status/164511211041683865...