skysight-inc/HackerNews huggingface dataset:
When ChatGPT-3 came out my first take was that we had no idea how those things worked, but once the research happened, people were going to learn to reduce the cost of the models dramatically and that's what happened.

The approach where "the model has a huge amount of world knowledge and can speak off the cuff about any subject" would inevitably fall to "it can use a search engine, read the results, and then reason based on the content of the results", not least because people are always going to want to talk about, say, the Bills vs Chiefs game that happened last night and we can't retrain the whole model every day.

Myself I like to train models that are so simple that I can train 20 in 3 minutes and take the best. I can quickly do experiments to understand how the models. If I had a model that took 30 minutes to train and had a reliable training process I could use that for my purpose, but as a side project I don't have the time to do large numbers of experiments to get there if my model takes that long to train.

So for all those reasons it seems we should have a 'minimal' model that is good at reasoning. The faster the model is to train and do inference on the faster people can do experiments and make it better.

The outcry people have that AI models need to steal increasing amounts of content for training might diminish (I hope so!) but people might have the realization that, if you want to research a topic, you could send a webcrawler off to look at 1 million documents and have an AI process them for you (I'm living that dream!)
This has not been my experience with the 70B distilled one available on Ollama.
There is a comment in the help book about observing patterns at the death screen. Has anyone figured out what that means?
Yes, except it does not support version ranges.
pebble the company reminds me of teenage engineering
They are reasonably accurate, and no tutor is perfect. How do you know your college professor is accurate?
"Can you please tie purchased FSD to our owner accounts vs. locked to the car? This will help us enjoy it in any Tesla we drive/buy and reward us for hanging in so long, some of us since 2017."

This has been asked in the past and Elon has refused.
You want to empty the health to 0 before leveling up, because any extra experience goes into the next level. For each level, heart only goes up by 1 but experience needed to level goes up by 3. You need to reach 15 to kill the dragon.
I'm obviously not claiming that Facebook moderation is perfect but it's a pretty big stretch to go from "Facebook does a bad job of reducing false positives" to "Facebook purposefully bans Linux discussions".

> I never understand why people rush to make excuses for these huge companies awash in resources with no real accountability or customer support

Because if nobody pushes back against the hyperbole then it just becomes a competition of who can make up the most exaggerated claim in order to attract the most attention.
No of course not. Indexing in 2025 is a whole different world. It was most likely people covering Apple short they had paired with long QQQ.
You get the same output from Claude regardless of gender. I wonder which government asked Anthropic to censor the output in this way
I think the problem is basically because the build system has to be implemented using some ecosystem, and no other ecosystem wants to depend on that one.

If your "one build system to rule them all" was built in, say, Ruby, the Python ecosystem won't want to use it. No Python evangelist wants to tell users that step 1 of getting up and running with Python is "Install Ruby".

So you tend to get a lot of wheel reinvention across ecosystems.

I don't necessarily think it's a bad thing. Yes, it's a lot of redundant work. But it's also an opportunity to shed historical baggage and learn from previous mistakes. Compare, for example, how beloved Rust's cargo ecosystem is compared the ongoing mess that is package management in Python.

A fresh start can be valuable, and not having a monoculture can be helpful for rapid evolution.
“Our greatest ethical imperative is to create our own life's meaning, while protecting the freedom of others to do the same.”

— Simone de Beauvoir
I've always wondered why nobody has tried to scale image-generation models to modern LLM sizes, such as 200-500B parameters instead of 1-7B...
I think it's perfectly reasonable to celebrate this action and the individuals who championed it while also being cynical of the big tech orgs that resist changes like this for the reasons described.
Is this business
> Nobody has a right to have someone else pay them money.

In the not too distant past, you didn't need money to live. If you wanted to brave the elements, make your own shelter, grow/gather/hunt your own food, and deal with the threats on your own, you could do that. Now, you can't do that. Everything is owned. You need to have money to buy or lease land to live on. If nobody gives you money (or land), you can't make a life for yourself, because one must live on land, and all the land is owned.

Does this mean that people have a right to receive money? I'm not sure about that. I think the argument that people should have a right to be able to work and receive money has some merit, although certainly flaws too. It is at least worth considering that the world and society has changed and crystallized substantially over the last couple centuries, and the system of money is forced upon everyone.
It's much better to allowlist the files meant to be published using `files` in package.json because you never know what garbage the user has in their folder at the time of publish.

On a typical project with a build step, only a `dist` folder would published.
I still use my PTR daily! See https://rebble.io/ :)
That rhymes with my experience of trying to generate placeholder art using AI.

Since it's just a placeholder I often ask for a funny twist but it's rarely ever anything like it.
A note on "craft" here is that Heaviside's other thing was inventing a kind of magical math that seems like it shouldn't work (even though it did) and ignoring everyone who complained about it.

https://deadreckonings.com/2007/12/07/heavisides-operator-ca...

https://en.wikipedia.org/wiki/Operational_calculus
I think it's very unlikely there will be good direct answers to all of these, but some of them are capable of being "we won't be proceeding with that" and have less consequence than you might think: Stepping back from higher risk futures does mean heading off blue sky profit, but it also stops cash bleed. So from an investor point of view, with both bulls and bears involved, some walk-back responses please some investors, as well as annoying others.

The roof tile venture (and battery tech for non-vehicle uses) are good precisely because they are about achievables. The semi likewise, is clearly viable, given other market trends from European manufacturers (I tend to think this is one niche battery swap is a no brainer in. but Tesla/Musk may still disagree)

The Sub $25,000 car thing: That market now belongs to China. MG, BYD and GWM have product at scale. I think Tesla missed a niche but that said, why deliberately pursue low profit margin sales? If the market for expensive Tesla cars is holding up, you have to believe in 10x sales down the bottom end to want to invest to meet it. The mistake was saying it: Not delivering may be a sound strategy (even if it annoys me)

I'm not an EV owner, or direct investor.
Check out Robert Anton Wilson (The Illuminatus Trilogy), you're in for a treat -- the references above were to Discordianism

* https://en.wikipedia.org/wiki/The_Illuminatus!_Trilogy
* https://en.wikipedia.org/wiki/Principia_Discordia
Except reasonably priced :)
Fascinating. I love seeing practical applications of computer vision. I want to understand how image embeddings work.

I wonder how practical it would be to add specific multidimensional similarity metrics the user could adjust. For example, if they didn't care whether it was a photo or drawing, but still had to be the same type of object. Or if they didn't care about the art style. Or if it had to be an SUV driving thru a river, but they don't care what colour SUV.
The only financial benefit for Google that I could guess would be to drive complement prices to zero (assuming some Pebble refresh is successful), as part of competition against Apple watch.
Linus is not too different from Bill, actually.

He has also spoken about world domination ;)

https://en.m.wikiquote.org/wiki/Linus_Torvalds
> Speech standards should be determined by public opinion

To confirm, you are making a normative "ought" statement here, not just a descriptive "is" statement?

> science has never had a seat at the table in the West.

This is a strange idea to me. As a simple example, vaccinations are mandatory for a reason. The unfreedom there is clearly justified.

> If anything Communism was the pro-science approach, typically centrally planned societies love science and technocrats - they put a lot of effort into working out a true and optimal way and it didn't work very well. The body count can be staggering.

What James Scott called high modernism is indeed bad. The problem was not the fact that science was used, but the fact that the models used weren't complex enough to describe local conditions, and that politically motivated models (e.g. Lysenkoism) gained prominence. Science was also used in other parts of the world to much better effect, such as vaccines and HIV medications.

> The moment we start talking about speech standards being set by "science" you get a lot of people who are pretending that their thing is scientific. Ditto reason and evidence.

True, and yet some of those people are more correct than others. This is challenging, but it is not a challenge we can run away from.

> The win for free speech is setting up a situation where people who are actually motivated by science, reason and evidence can still say their piece without threatening the powerful actors in the community. And limiting the blast radius of the damage when they get things wrong despite being technically correct. But principles of free speech go far beyond what is true, correct and reasonable.

I think people not applying reason is far, far worse of a problem today than people applying it.
Look at the quality of the posts.

This is an obvious mistake, it's obvious Facebook isn't deliberately banning Linux posts, it's obvious their moderation is incorrectly flagging some posts for some reason, it'll get fixed. It could have been an interesting story and discussion about problems with false positives and automated moderating, or about the lack of human contact at Facebook scale, but instead it's just passionate screeds from too easily excitable posters.

(I didn't flag it, btw.)
> Untrue, it's purist startup people and some ISVs who believe that Alma or Rocky are the somehow "better".

It's anyone who appreciates the value of stability in server software. In my personal opinion, that value is quite high and far too quickly cast aside by others in the industry.
The guy hedges and rehedges his point of view so much lol.

"Is it bad? Well, kind of. Actually, it depends. On the other hand, maybe."
If your point is that there's a very very wide class of problems whose answer is a sequence (of actions, propositions, etc.) -- then you're quite correct.

But that isn't what transformers model. A transformer is a function of historical data which returns a function of inputs by inlining that historical data. You could see it as a higher-order function: promptable : Prompt -> Answer = transformer(historical_data) : Data -> (Prompt -> Answer)

it is true that Prompt, Answer both lie within Sequence; but they do not cover Sequence (ie., all possible sequences) nor is their strategy of computing an Answer from a Prompt even capable of searching the full space (Prompt, Answer) in a relevant way.

In particular, its search strategy (ie., the body of the `prompter`) is just a stochastic algorithm which takes in a bytecode (weights) and evaluates them by biased random jumping. These weights are an inlined subspace of Prompt,Answer by sampling this space based on historical frequencies of prior data.

This generates Answers which are sequenced according to "frequency-guided heuristic searching" (I guess a kind of "stochastic A* with inlined historical data"). Now this precludes imposition of any deductive constraints on the answers, eg., (A, notA) should never be sequenced, but can be generated by at least one search path in this space, given a historical dataset in which A, notA appear.

Now, things get worse from here. What a proper simulation of counterfactuals requires is partioning the space of relevant Sequences into coherent subsets (A, B, C..); (A', B', C') but NOT (A, notA, A') etc. This is like "super deduction" since each partition needs to be "deductively valid", and there needs to be many such partitions.

And so on. As you go up the "hierarchy of constraints" of this kind, you recursively require ever more rigid logical consistency, but this is precluded even at the outset. Eg., consider that a "Goal" is going to require classes of classes of such constrained subsets, since we need to evaluate counterfactuals to determine which class of actions realise any given goal, and any given action implies many consequences.

Just try to solve the problem, "buying a coffee at 1am" using your imagination. As you do so, notice how incredibly deterministic each simulation is, and what kind of searching across possibilities is implied by your process of imagining (notice, even minimally, you cannot imagine A & notA).

The stochastic search algorithms which comprise modern AI do not model the space of, say, Actions in this way. This is only the first hurdle.
> According to Deepseek, the tariffs could shave as “little” as 1.7% or as much as 8% off of Canada’s GDP, with the baseline estimate around 4%. That’s roughly in line with the Bank of Canada’s projection.

The BoC estimates 6%. I guess it is accurate to say the 1.7% - 8% estimated by Deepseek is “roughly in line”, but it is such a large range as to be pretty useless. Though, if you look at the BoC’s ToTEM model for GDP, it is pretty useless as well, relying on shaky assumptions like a regression to the mean over 6 quarters, which isn’t accurate when it matters most.
once the essay is already graded, it should not matter. and less as time passes.

on the contrary i thought any essay, paper or report written for uni or school can be considered for publication in some form. not everything is worth publishing of course, but if it is, talk to your supervisors about it.

http://academia.stackexchange.com/questions/65166/ddg#65208
I don’t believe that there are any wireless charging standards small enough for a watch (qi/qi2 is far too big), so it’d be proprietary anyway.
> "The smartwatch everyone wants has a battery that lasts for weeks, a high contrast always-on color screen visible in daylight and total darkness, no bezel, and a round case only a few mm thick."

The Garmin watches that have a MIP (Memory In Pixel) display already cover most of that, provided you avoid using some of the more power hungry features that the Pebbles never had anyway. What is the Pebble Watch's value proposition in 2025?
+1 to brotli. Newly published packages could use brotli by default, so old ones stay compatible.
I'd go further on the "free speech absolutism" thing - Musk claiming that as a reason to lose so much money truly tarnishes the phrase. High profile virtue signalling followed by an unremarked dropping of something by a famous multi-billionaire and all around famous person cheapens the phrase and the concey.
I very much hope NIH and CDC can help walk some of this back. It goes to naked self interest outcomes: The US has massive exposure of risk.

It used to be the primary problem here was womens reproductive health. I am unsure that has anything to do with this, but perhaps the Trump goal here is to satisfy his god-bothering base, as well as "win one over" an agency he doesn't like.

As a non-american I am amazed that deliberately disclaiming control over an agency like this is held to be in US interests. Its so isolationist, it begs questions about how seriously NATO has things covered. Or AUKUS.

You would not want to bet on any current financial commitment being worth the paper it's written on.
Reinforcement Learning by AI Feedback
This isn't actually the case. Apple supports 3rd party trackers - see https://mfi.apple.com/ and https://developer.apple.com/find-my/
Go uses Minimum Version Selection (MVS) instead of a SAT solver. There are no ranges in any go dependency specifications. It's actually a very simple and elegant algorithm for dependency version selection

https://research.swtch.com/vgo-mvs
Tech obviously isn't a strong suit, but elsewhere Facebook does have corners with good/entertaining/useful small communities. They have good SNR and are more personal than Reddit.

The secret is to train your feed by bookmarking the groups and linking to them directly instead of accepting whatever flailing nonsense the algo decides to default to.

Having said that - I hope everyone has worked out by now that when you have a "free speech" culture based on covert curation and moderation of contentious issues, it's not just going to be about porn and trans people.

Non-mainstream (i.e. non-consumer) tech is going to be labelled bad-think and suppressed too.
My experience with Bazel is it does everything you need, and works incredibly well once set up, but is ferociously complex and hard to learn and get started with. Buck and Pants are easier in some ways, but fundamentally they still look and feel mostly like Bazel, warts and all

I've been working on an alternate build tool Mill (https://www.mill-build.org) tries to provide the 90% of Bazel that people need at 10% the complexity cost. From a greenfield perspective a lot of work to try and catch up to Bazel's cross-language support and community. I think we can eventually get there, but it will be a long slog
Please include the pebble round format! That looks so much better to me than square formats (including all the apple watches)
In my country it is not unusual to have 3 supermarket chains next to eachother. It keeps prices down.
Good point, I could make a note that the article is in the first comment so people don’t click and get a repeat.
That's why all of the bootlicking wording from employees now makes me puke:
"teamwork" "passionate about my work" "making an impact" "standups" "going above and beyond"... all of that is bs.
Go to work, collect a paychech and leave as early as possible. Reserve teamwork for your group of friends, passion for your hobbies, raising a family or having fun out of work.
And never, ever give them 2 weeks notice. When you find a better job, just walk away and email them when you are at home. Fire the company that will not give you 2 weeks notice for layoffs.
I get blocked anytime I share my github project.
> The reason this causes so much suspicion is because we westerners are terrified of what that would mean for the rest of the world.

It would mean having to eschew the neoliberal ideals that impede research and development in favour of the old that made America and to some extent the rest of the West the dominant superpower in R&D for many decades. We should be familiar with it, even if we have lived all or most of ours lives in the former.

Or it would be hard to convert back and we'd have a war first.
I'd build it around pip and just accept that your users will have to install python and do the one-time pip install. Just do

pip install <package_name> -U

to get the latest.
The pic accompanying mentions openKylin. Kylin is China's Unix, formerly based on FreeBSD, now Linux/Ubuntu.

I presume that it is used for launching hacks, but even so discussion should not be banned.

Just makes me wonder if DistroWatch is telling the whole story.
> Why do we need separate build systems for every language?

Because being cross-language makes them inherit all of the complexity of the worst languages they support.

The infinite flexibility required to accommodate everyone keeps costing you at every step.

You need to learn a tool that is more powerful than your language requires, and pay the cost of more abstraction layers than you need.

Then you have to work with snowflake projects that are all different in arbitrary ways, because the everything-agnostic tool didn't impose any conventions or constraints.

The vague do-it-all build systems make everything more complicated than necessary. Their "simple" components are either a mere execution primitive that make handling different platforms/versions/configurations your problem, or are macros/magic/plugins that are a fractal of a build system written inside a build system, with more custom complexity underneath.

OTOH a language-specific build system knows exactly what that language needs, and doesn't need to support more. It can include specific solutions and workarounds for its target environments, out of the box, because it knows what it's building and what platforms it supports. It can use conventions and defaults of its language to do most things without configuration.
General build tools need build scripts written, debugged, and tweaked endlessly.

A single-language build tool can support just one standard project structure and have all projects and dependencies follow it. That makes it easier to work on other projects, and easier to write tooling that works with all of them. All because focused build system doesn't accommodate all the custom legacy projects of all languages.

You don't realize how much of a skill-and-effort black hole build scripts are is until you use a language where a build command just builds it.
My college professor has certifications and has passed tests that weren't in their training data.

My college professor was also willing to say "I don't know, ask me next class"
> Startup founder lesson learned — never forget to define and talk about your long term vision for the future.

What's the long term vision.
All you get out of o1 is

Reassessing directives

Considering alternatives

Exploring secondary and tertiary aspects

Revising initial thoughts

Confirming factual assertions

Performing math

Wasting electricity

... and other useless (and generally meaningless) placeholder updates. Nothing like what the <think> output from DeepSeek's model demonstrates.

As Karpathy (among others) has noted, the <think> output shows signs of genuine emergent behavior. Presumably the same thing is going on behind the scenes in the OpenAI omni reasoning models, but we have no way of knowing, because they consider revealing the CoT output to be "unsafe."
I think there are good arguments that Hunter gathers ate healthier more diverse foods; spent less time working; and likely were in flow more often than we are today.

I think Sapiens talks about this.
I used zopflipng in the past to optimize PNG images. It made sense since there was no better alternative to store lossless image data than the PNG format at the given time in the given environment. Zopfli is awesome when you are locked in on deflate compression. I feel like if the npm folks would want to optimize for smaller package size a better strategy would be switching to some more effective text compression (e.g. bzip2, xz). That would result into a larger file size reduction than 5% for a smaller CPU time increase compared to Zopfli. You would need to come up with some migration strategy though as this change isn't per-se backwards compatible, but that seems manageable if you are in control of the tooling and infrastructure.
Sure - but they didn't even mention the US.