skysight-inc/HackerNews huggingface dataset:
By the way, there was recently a HN submission about a project studying using diffusion models rather than LLM for token prediction. With diffusion, tokens aren't predicted strictly left to right any more; there can be gaps that are backfilled. But: it's still essentially the same, I think. Once that type of model settles on a given token at a given position, it commits to that. Just more possible permutations of the token filling sequence have ben permitted.
23andMe users struggle to delete their highly sensitive data
Obviously the person who started the peace talks was talking about Ukraine leading to WW3.

I was talking about everyone that said the gist of "if we allow peace talks, Russia wins", mainly here.

It's the sentiment that led to the war persisting for these last few years.

No talks from the Biden admin, no public outrage, just support. And constant funding to continue it.
It seems that the author is arguing for specific government policies they consider smarter than current government policies.

> It keeps whiplashing back and forth between "big government good" and "big government bad".

With respect, perhaps you are trying to fit the article into a pre-existing worldview that divides political positions into pro-big-government and anti-big-government? At least, I have heard people espouse this perspective before and it always struck me as odd -- do you think there is a correlation between the size of a government and its quality?

There exist well-run countries with higher levels of government spending (e.g. Scandinavian countries) and lower levels of government spending (e.g. Switzerland, Singapore).

And there exist poorly-run countries with higher government spending (Greece, Brazil) and lower government spending (Hati, Somalia).

Similarly, some large companies are run well and others poorly, and some small companies are run well and others poorly. Scale confers advantages and disadvantages but doesn't seem inherently bad.
I mean if we're going full pie in the sky, fully declarative containers exist today:

https://github.com/nlewo/nix2container#nix2container

Dagger looks nifty, but it's too bad that it's still basically an imperative "start from thing, do stuff to it, publish" kind of model, rather than just expressing a desired end state and letting an underlying engine find its way there.
I don’t think this is quite accurate. LLMs undergo supervised fine-tuning, which is still next-token prediction. And that is the step that makes them usable as chatbots. The step after that, preference tuning via RL, is optional but does make the models better. (Deepseek-R1 type models are different because the reinforcement learning does heavier lifting, so to speak.)
Is that what she ran on?

My perception was that she ran on "more of the same but also different... nevermind, look at all these celebrities telling you to vote for me!" and something vague about protecting women's rights.

It's almost like you need more than a couple months to run a serious presidential campaign. Despite being the VP for 4 years, most people didn't know what to expect from her. Almost nobody was enthusiastic about her and she had no real momentum. That's obviously what killed her campaign.
Around the time we bought our place we had some spare cash and thought about getting another house. I'd seen the Rich Dad, Poor Dad book which had the advice that you should buy a rental property only it was wildly cashflow positive after the mortgage.

That's not realistic in most cases but we saw one rental property which looked crazy profitable that was full of Section 8 tenants. We passed on it because it was really buying yourself a job as a social worker and the fact that we were bleeding hearts would make it harder, not easier. I think my wife and I have gained the maturity that we might be able to handle that now but we've also gotten better at setting boundaries such that we wouldn't.
>> Claude can speak dozens of languages. What language, if any, is it using "in its head"?

I would have thought that there would be some hints in standard embeddings. I.e., the same concept, represented in different languages translates to vectors that are close to each other. It seems reasonable that an LLM would create its own embedding models implicitly.
It is understood by all, though, that a vote for Trump is a vote for belligerence and chaos. So those supporters are getting what they asked for and deserve, even if they’re blindsided by the specific manifestation.
i want to move away from GitHub Actions and I also want to move away from some bespoke monorepo tooling for something that's a better overall orchestrator of 'things'. Dagger scratches some of those itches, or seems to, so I've had my eye on it for a while. Knowing that they're trying to also help me define and use containerized environments - I sort of assumed I'd have to bring those myself.
> That is great QAing. It also speaks to why QA should be a real role in more orgs, rather than a shrinking discipline.

As a software engineer, I've always been very proud of my thoroughness and attention to detail in testing my code. However, good QA people always leave me wondering "how did they even think to do that?" when reviewing bug reports.

QA is both a skillset AND a mindset.
Kinda off topic, but this page and many other pages on dagger.io seem to be loading very large GIFs that would be much better off in a compressed format (mp4 or webm).
Really enjoyed that! I was surprised by how fun it was considering how simple it seems. Definitely would love it to last longer.
> it commits to that word, without knowing what the next word is going to be

Sounds like you may not have read the article, because it's exploring exactly that relationship and how LLMs will often have a 'target word' in mind that it's working toward.

Further, that's partially the point of thinking models, allowing LLMs space to output tokens that it doesn't have to commit to in the final answer.
Alibaba Qwen2.5-Omni-7B: Open Source End-to-End Multimodal AI Model
All of the above is completely true.

But right now they are in the acute/fallout phase of a massive economic disruption (the deleveraging of a highly indebted real estate sector, no less severe than the GFC, they overbuilt to a massive degree). No matter what folks are going to be struggling bad atm.

The trillion dollar question is what does this look like in ten years? It could go either way. A Japan style lost decade, or they manage to find and exploit new growth opportunities. I guess we'll see whether having pretty much the cheapest energy on the planet and impressive logistics allows them to get through this.

Do not discount the tremendous potential of electrification, and cheap renewable energy.
They already are damaging ships via proxy support of Houthis.

Deterrence sometimes means applying force.

Iran won't be able to do anything if the US actually applies force to them.

And I highly doubt anyone will actually come to their defense, which is an ingredient for WW3.
The ground station should be as small as you like. The beamed energy density doesn't have to be the same as solar intensity. It can be 10X etc, reducing the land requirement by the same factor
If it's anything like the support you get paying for Google Fi or Youtube Premium, it's probably worthless.
I've been in SF for a long time and I remember when the YIMBY movement didn't exist, just 10 years ago, and Sonja Trauss was trolling SF by running for Board of Supervisors and saying all this shit out load knowing she'd lose in a landslide.

10 years later, the governor is a self-proclaimed YIMBY (even though he isn't), a book on YIMBYism is a national best seller, and nationally, folks are finally realizing that the reason why we're losing the working class on the left is because the left cares more about their own property values than about helping working folks. All the while, there is the parallel center-right focused Strong Towns organization that is making the exact same argument for the exact same movement in more conservative areas.

If that's not extreme acceleration I don't know what is.
There’s a tiny but of overlap in principle, but you can use dagger shell without having to learn a new language and the interface is much simpler. Give it a try and let me know which you prefer!
Expansion makes us less vulnerable to a dark forest scenario. As long as we're on one planet, a single relativistic missile can take us out.
This is the bill text: "SECTION 1. It is the intent of the Legislature to enact future legislation limiting the sale of ultraprocessed foods in California schools."

That's it.

It's fairly well understood what makes junk foods tasty without much nutritional value.
Salt and sugar play a big role. Those aren't "ultraprocessed".

Bread is "ultraprocessed". The number of steps from wheat to bread is large, and the output looks nothing like the input. Here's how "artisanal bread" is really made.[1]

It's the ingredients, not the processing.

[1] https://www.youtube.com/watch?v=Y-RnRvSGFgY
What is a "thought"?
In theory you could replace much of Docker's low-level tooling with Dagger. In practice, that's not what we're trying to do. There's a lot of inertia to ripping out existing tools, and even if the replacement is better, it may still not be worth the effort.

What we're focusing on is green field application of container tech. Things that should be containerized, but aren't. For example:

- Cross-platform builds

- Complex integration testing environments

- Data processing pipelines

- AI agent workflows (where you give a LLM the ability to perform tasks in a controlled environment)

In those kinds of workflows, there is no dominant tool to replace - Docker or otherwise. Everyone builds their own unique snowflake of a monolith, by gluing together a dozen tools. Dagger aims to replace that glue with a modular, composable system.
Thanks!
Isn’t “an Astronomer” a single word for the purpose of answering that question?

Following your comment, I asked “Give me pairs of synonyms where the last letter in the first is the first letter of the second”

Claude 3.7 failed miserably.
Chat GPT 4o was much better but not good
Could be the case for some, but in the cases I know of, it was nothing like that - they took it seriously and used it as I said.
This seems like a problem that should be worked on

It also seems like we shouldn't let it prevent all AI deployment in the interim. It is better that we take the disease detection rate for part of the population up a few percent than we do not. Plus it's not like doctors or radiologists always diagnose at perfectly equal accuracy across all populations.

Let's not let the perfect become the enemy of the good.
>>Claude will plan what it will say many words ahead, and write to get to that destination. We show this in the realm of poetry, where it thinks of possible rhyming words in advance and writes the next line to get there. This is powerful evidence that even though models are trained to output one word at a time, they may think on much longer horizons to do so.

This always seemed obvious to me or that LLMs were completing the next most likely sentence or multiple words.
I applaud the community building you've done, but the wealthy SF tech set is never beating the 'reinventing things that already exist' allegations. This is basically a block party only quiet.
> There are many container escapes each year because the chunk of api that they are required to cover is so large

What API? The kernel syscall API?

If we assume for a moment, that there are no bugs in the Linux namespace implementation, would containers be as safe as virtual machines?
Visualize Your Life timeline in Weeks
Pshaa, the US didn't become the richest country on the planet by letting their kids eat caviar and green beans. Why learn if you already live like a king? Struggle builds character.
So much circumstantial evidence of past life on mars is infuriating. Wish we could find something definitive!
Climbing Mount Fuji will now require a $27 fee and a test
Of course! The cure for chronic lonelyness is to be more fantasy based!

Reality is just so boomer...
This used to be widely accepted and non-controversial. We want kids to have access to whole foods. Organic even better.

It's my opinion that climate change activists are responsible for demonizing the whole foods because ultra -processed foods are more sustainable, more efficiently produced etc.

I remember a NYT interview of Bill Gates a few years ago where he said organic farming was bad for the environment.
I think this is closer to hitting the truth.

I'll add... I think idealizing single family housing as the default, over generational family housing (mostly as a response to industrialization wanting worker movement, and the advent of automobiles) is going to eventually be seen as an unforgivable mistake.

And they're all made out of ticky-tacky
And they all look just the same
Just like doctors: https://kffhealthnews.org/news/article/medical-misdiagnosis-...

I wonder how well it does with folks that have chronic conditions like type 1 diabetes as a population.

Maybe part of the problem is that we're treating these tools like humans that have to look at one fuzzy picture to figure things out. A 'multi-modal' model that can integrate inputs like raw ultrasound doppler, x-ray, ct scan, blood work, ekg, etc etc would likely be much more capable than a human counterpart.
tangent: this is the second time today I've seen an HN commenter use "begging the question" with its original meaning. I'm sorry to distract with a non-helpful reply, it's just I can't remember the last time I've seen that phrase in the wild to refer to a logical fallacy — even begsthequestion.info [0] has given up the fight.

(I don't mind language evolving over time, but I also think we need to save the precious few phrases we have for describing logical fallacies)

[0] https://web.archive.org/web/20220823092218/http://begtheques...
I grew up in Soviet Union and have a pretty solid idea what you could and what you could not say, but thanks for trivia.

A life anecdote: in mid 1980s my classmate shot the Lenin portrait in the classroom through a straw. His parents were called in and reprimanded. In 1950s they'd been in real trouble; in 1937 they would have been arrested, tortured and likely killed. In 1989 nobody would have cared.
To answer your question.

The numerous amount of people create dependencies which must be backstopped which cannot be backstopped in the case of failure.

Malthus never believed we could achieve population growth above the sustainable point, but Catton's work in the 90s shows we can, and in an ecological overshoot condition where dependencies suddenly no longer get met (i.e. lower food production/famine from climate change), then you have a breakdown of order, that's violent and chaotic. By its nature unknowable and unpredictable aside from general outcomes. If you look back to the bronze age collapse, we face similar conditions without the safeguards we previously had.

The flows that created the conditions for the population boom are not sustainable, and the sustainable flows regenerate very slowly, and so when faced with sudden sustaining shortfalls, the population level will drop below what was sustainable before, and may stay there. For reference sustainable farming in the 1900s could feed about 4B globally, we have 8.3 +-0.5 (due to rural undercounting).

We haven't seen a collapse for quite a long time because society built many tools to ward off that collapse which are no longer being used. Books for example as a means to preserve and pass on valuable knowledge. Today books are used to pass on misinformation towards maladaptive behavior more often than knowledge.

> The biggest risk for rebuilding would be politics.

This never happens in practice because the politician's die in a socio-economic collapse. They were responsible for being asleep at the wheel, and the masses go after them.

The biggest risk to the future, is the economic/socialist calculation problem. A mathematically chaotic hysteresis problem that cannot ever be solved, which must be solved at the conclusion of stage 3 of any fiat currency or risk socio-economic collapse since fiat forces market collapse to non-market socialism. It may not seem like there is no market because money-printing props up market participants, but the cooperative behavior of such entities ensures the market fails, where people don't understand there is no market when the requirements are not met.

That's when outflows exceed inflows (GDP < debt growth). 2030 for the public ledger, 2023 in the private ledger that will require a bailout by 2028.

Brittle systems break under load. You also don't realize how much we take for granted the things we have. I almost guarantee you that no one, even a chemist by themselves could make commercial grade enamel wire needed for sufficient isolation for low voltage systems. You need process engineers, unit operations, engineers, something like 20-30 specialists on top of the specialized custom made equipment just to produce any wire suitable for electric motors.
Intention Is the Final Moat
It seems critical to have diverse, inclusive, and equitable data for model training. (I call this concept "DIET".)
All of that etiquette sounds nice if you're being paid to do this work, but I don't think anyone is obligated to "properly" disclose a vulnerability they found on their own time/dime, nor do I think it's a moral imperative for anyone to do so.
White House to DOGE employees: Preserve your Signal records
You can create e-mail addresses for single use, even temporary ones.
> she couldn’t think of anything she would do differently than Biden when asked

Which, though definitely suboptimal, would have been a pretty reasonable alternative to her opponent’s plan to self-cannibalize the government, threaten the sovereignty of long-standing allies, and chaotically disrupt world trade.
It should, but I think you can see the correlation between climate activism and popularizing ultra processed food, by the downvotes.
"Briefly, the US has the capacity to decisively win on one or two fronts at a time, so its strategic logic leads it to want to wrap up conflicts in order: put an end to the Ukraine war, and address Iran next, to preserve its ability to respond to a Chinese invasion of Taiwan. The logic of its rivals is then the opposite: to tightly coordinate and threaten to expand conflicts on each front so that the US can’t effectively respond to any. This is a path to a world war."

So, if US hit Iran, we have to watch out for escalation from Russia and China.
“When you loan money to a friend, be prepared to lose the money or the friend” is a maxim I’ve lived by and has guided me through some tough decisions over time.
No it's been there for ages. Finalized as part of ecmascript 5

What you are probably thinking of is the context parameter of the reviver callback. That is relatively recent and mostly a qol improvement
> LLMs that haven't gone through RL are useless to users. They are very unreliable, and will frequently go off the rails spewing garbage, going into repetition loops, etc...RL learning involves training the models on entire responses, not token-by-token loss (1).

Yes. For those who want a visual explanation, I have a video where I walk through this process including what some of the training examples look like: https://www.youtube.com/watch?v=DE6WpzsSvgU&t=320s
I laugh because the alternative is to scream.
I really don't understand how replacing writing N lines of code by reading N lines of code reduces mental load. Reading and understanding code is generally harder than writing equivalent code.
this is helpful. and i appreciate the intellectual/technological humility.

i think there's a decent chance we end up giving Dagger a spin this year.
Somewhat related, self promo

Docker shell container - https://github.com/jrz/container-shell
I see I’ve triggered the local wannabe broligarchs.
Dagger is fully declarative. It's just built on a dynamic declarative API, instead of a static declarative DSL.

So, if you took Nix, and replaced the static scheme-like DSL with a proper API, and then built SDKs in 5 languages for that API; and then built a bash-like shell also for easy scripting; then you would start to have something that approximates Dagger.
> That's a pretty big vision.

Is it? Docker is quite long in the tooth and this point and is a long way from perfect. Docker's design is rife with poor choices and unaddressed flaws. One I've been tracking for years: there is no straightforward way to undo several things that get inherited by derived images, such as VOLUME and EXPOSE, and Docker Inc. doesn't care no matter how long the github threads get.

So I think there is ample room for alternatives.
Humans do the same. Everything from medical studies to doctor trainings treat the straight white man as the "default human" and this obviously leads to all sorts of issues. Caroline Criado-Perez has an entire chapter about this in her book about systemic bias Invisible Women, with a scary number of examples and real world consequences.

It's no surprise that AI training sets reflect this also. People have been warning against it [0] specifically for at least 5 years.

0: https://www.pnas.org/doi/10.1073/pnas.1919012117

Edit: I've never had a comment so heavily downvoted so quickly. I know it's not the done thing to complain but HN really feels more and more like a boys club sometimes. Could anyone explain what they find so contentieus about what I've said?
> Of course in an ideal world it could just figure it out

Yep. We're agreed there.

> I want this variable to always update when its dependencies change? or do I just want to set an initial value based on the dependencies?

Reasonable to default to first, ask the developer to be explicit about the second if needed.

Honestly I still love SFC and Svelte having opinions about CSS and state storage is great. But it feels like this was the wrong direction. The 'magic' is why we used Svelte.

Edit: I think my tone here is a little off due to illness. Sorry if I sound grumbly. Wasn't my intention.
I work at Qt in Germany and literally everything is English, official language is English
Why are we bombing innocent civilian apartments?

And how are we bombing at all without Congress declaring war?

And why are we attacking people that are specifically threats to the Saudis and not USA?
Is there an equivalent of LORA using RL instead of supervised fine tuning? In other words, if RL is so important, is there some way for me as an end user to improve a SOTA model with RL using my own data (i.e. without access to the resources needed to train an LLM from scratch) ?
I have a particular hate on for the sandwich pattern where you have a Dockerfile to a "build" environment that then gets entered, and a bunch of stuff done in there, and then the results ADDed into a different Dockerfile for the publishable asset. I know multi-stage builds sort of address this need, but a lot of people aren't using them or have found cases where it's desirable to have the "running" context for the container, for example if a bunch of stuff is being volumed-in (which is now possible at build time but is janky).

Or there's the copy my ansible playbooks into the container and run them there as localhost approach, which can be mitigated by what Packer does with at least running the playbook over SSH. But then Packer has no concept of multi-stage or copying in assets from other containers.

There's a lot of room to do better in this space.
You're right, not sure what's going on there. Escalating internally.
It's a bit disingenuous that you claim on your banner that your launch was covered by AP when it was in fact a paid content Press Release that only shared the domain: "PRESS RELEASE: Paid Content from EZ Newswire. The AP news staff was not involved in its creation.", see https://apnews.com/press-release/ez-newswire/artificial-inte...
This isn't tech news lol. How does Dang believe topics like this can be discussed without a flame war.