skysight-inc/HackerNews huggingface dataset:
Good question! Scraping and ingestion continues to use dedicated compute.

Serverless helps with query performance. Queries can be parallelized with serverless functions, this especially helps with long range queries. As an added advantage, compute does not have to be pre-provisioned for queries.

Here's an overview of how things fit together - https://oodle.ai/product#magic-behind-oodle
"For example, in the future we may wish to monitor the chain of thought for signs of manipulating the user."

This made me roll my eyes, not so much because of what it said but because of the way it's conveyed injected into an otherwise technical discussion, giving off severe "cringe" vibes.
It's not advantageous. It's merely amusing.

MtG is a deck-building game, rather than a board game. They keep issuing new kinds of cards, with new capabilities. You can make your deck out of any cards you like (depending on who is running the game).

The number of possible interactions is vast, and people delight in discovering clever combinations. Sometimes those combinations can even break the game (like, winning before your opponent even begins). They're so powerful that they're made illegal.

A key element of the game is that you will draw your cards in random order, so even if you have a super-powered combination, you need to draw it before your opponent draws their own.

This particular combination of moves requires a lot of very specific cards. Even if you put all of then in your deck, it will take you a very long time to get them out. Meantime, your opponent is likely to kill you in a more conventional way.

This isn't realistic. It's more akin to a chess problem, a thought exercise in what you could do.

Similarly, you can arrange your deck to form a Turing-complete computer:

https://arxiv.org/abs/1904.09828
And as has been demonstrated, popular revolts tend to leave a power vacuum that gets filled by just another abusive regime.
It's only getting complicated if you make it complicated. I work at a company using Ruby on Rails and everything is much simpler than on a previous job that had a full-JS stack. Rails + turbo is all you need.
Accessible article: <https://www.theguardian.com/environment/2024/sep/12/entire-e...>

(Submitted separately: <https://news.ycombinator.com/item?id=41524077>)
Yeah, but this, in itself, is triggered by a hype wave. These come and go. So we can't really judge the long term impact from inside the wave.
Was that one phone actually commercially released by anyone? It just says that the OEM was shopping it around, so presumably more of a prototype than a final product?
Per-process GC is an optimization similar to nurseries in regular collectors, esp any object that has been sent in a message must be visible globally (yes there could be small object optimizations but that would increase sender complexity).

Also an overlooked part here is that the global Erlang GC is easier to parallellize and/or keep incremental since it won't have object cycles sans PID's (that probably have special handling anyhow).

TlDr; GC's become way harder as soon as you have cyclic objects, Erlang avoids it and thus parts of it being good is more about Erlang being "simple".
There is a hige difference which is that thex use reinforcement learning to make the model use the Chain-of-Thought better.
More people taking medication lower price not increases it.
Nothing. Not anymore. Which is what e/acc was gunning for this whole time, I'm afraid.

And that isn't necessarily a bad thing, either.
> Emphasis mine. So, looks like the actual aging deceleration is just the cliche, that it's healthy to not be overweight?

Are typical monkeys obese like typical Americans?
Building LLM-powered applications in Go
So is insulin. But at least in the US, it is expensive.
Thanks! That sounds reasonable. I would still consider making a holder.

I could also suggest a Barrel 0.8 tip, that wraps around pin that one wants to solder.
Russia Ukraine and world wars
I don't think it's much good as an approximation of value, but it seems ok as an approximation of cost.
Loopback to: "my code works. why does my code work?"
I'm going to hijack this thread to see if anyone recommend a power screwdriver? I'd like something smaller than an electric drill!
Cognition (Devin) got early access. Interesting write-up: https://www.cognition.ai/blog/evaluating-coding-agents
I know my thoughts are never redundant or messy, that's for sure.
The most interesting part, to me, was that entering SMM pauses all cores at once, instead of doing the work in a single core like normal interrupts. That sounds like a performance killer, and I hope entering SMM is really rare in modern systems.
I have a USB-C soldering iron that works with most power-banks. Does a better job than my old corded soldering station. I like the repairability of the iFixit one, but for $35, mine is hard to beat...
Guess you're right. If you see someone being mugged, you have no responsibility to help, and if you were talking to the mugger and pointed to the old lady and suggested that would be easy mark, no fault on you, you didn't do a thing.
This sounds suspiciously like the reason that quantum compute is not ready for prime-time yet.
A review of OpenAI o1 and how we evaluate coding agents
That's not exactly surprising, given that Google is the one who's pushing it in the first place.
> "Where did the Ancestral Puebloan people go?" With the answer of "We're right here. Come say hi to us at the information desk."

"Where did the Ancient Roman civilization go?"

"They're eating gelato and drinking espresso at the cafe."
As a benchmark, Aerojet will charge NASA between $70 and $110 million for each new-build RS-25 engine for Artemis. And that's a design that dates back to the 1970s and which flew as the SSME on the Shuttle.

SpaceX builds all 33 engines on a Starship for that amount.
A few of them exist in the real world - they gave out a thousand or so at PalmOS DevCon. To me that sounds like it shipped, even if in small quantity. These were not hand-built 3d printed prototypes. These were real devices with real injection molded silver plastic cases, operational slider mechanisms, working cell modems, and all.
Great project name, though
I don't know about shitting your pants levels bad but gastrointestinal side effects are very common with Metformin, on the order of ~30% taking it will have... quite a time at the start (I was definitely one). My doctor said something like 10%-15% of diabetics end up having to move to something else because while it generally gets better for most after taking it a while, it doesn't for all. On the flipside, many take it and would never even guess that could be a side effect. Just luck of the draw.
the content of the speech is protected. you can say "fuck this guy" where this guy could be anyone.

but you can't legally send encrypted over the radio, since those protocols are restricted by the FCC.

You won't catch a charge for what you said, but you might get fined for misuse of the radio band. its the same way you can't spray paint a slogan on the front of someone's business -- the content is fine, but the medium is not.
I'm no doctor, but if you've only done a few hours of this and you're 20+ it's probably no big deal. However, you are breathing lead vapor and it's not good for you (if you're at 100s of hours and 12yo that's really not good). If it gets on things you eat, it's also bad. The effects are permanent.

We had leaded (Ethyl) gasoline in cars which was banned 25 years ago and that had noticeable statistical effects on IQ an emotional regulation (violence) for more than a generation.
Accessible link: <https://xcancel.com/PalmerLuckey/status/1834267097947668632>
They are the source of the continued worsening of it since the 90s
Issue with the CADR (and Lambda ..) microcode isn't that it is hard to modify, it is that there is a very deep snake pit, and lots of complex interaction between the microcode and the Lisp Machine.

The CADR already had support for (pre-)Ethernet via microcode very early (~1979) and did it more or less the same way as for Chaosnet. The Lambda I think modified this quite heavily though to something else ...
I think that's just the same as using an autocomplete efficiently, though. I tend to like them for Search, but not for anything i have to "prompt correctly" because i feel like i can type fast enough that i'm not too worried about auto-completing.

With that said i'm not one of those "It's just a parrot!" people. It is, definitely just a parrot atm.. however i'm not convinced we're not parrots as well. Notably i'm not convinced that that complexity won't be sufficient to walk talk and act like intelligence. I'm not convinced that intelligence is different than complexity. I'm not an expert though, so this is just some dudes stupid opinion.

I suspect if LLMs can prove to have duck-intelligence (ie duck typing but for intelligence) then it'll only be achieved in volumes much larger than we imagine. We'll continue to refine and reduce how much volume is necessary, but nevertheless i expect complexity to be the real barrier.
https://news.ycombinator.com/item?id=41523070#41523525
Replacing old with www makes it easier to see the card previews.
It is my understanding that the expensive insulin is actually more complicated than the insulin that we had a couple of decades ago and that makes it easier to dose correctly so that therapeutic outcomes are improved.
Does that tip mount with... a 3.5mm audio jack? An accelerometer instead of a power button? An app to change the temperature? All this amateur-hour idiocy, and it still costs 80 bucks before you even get a power supply?

I love my iFixit screwdriver kits and I support their mission, but this thing is preposterous.
Fair enough, but for anyone wondering, you can make a shit knife shine if you take good care of it! Sharpening it, using a chef's honing steel in between some harder cuts to take care of those nasty burrs and you're off to the races!
Show HN: Avoid toxins and allergens in food or personal care products
I’ve been working on a browser extension that helps online shoppers avoid toxic ingredients, allergens, or diet restrictions.

It’s free to use. I’d love some feedback on how I can improve it, and if you find any bugs, please let me know!
There were multiple projects meant to increase the standard of living in the outer provinces, especially in the ones ruled by the Austrians. Compulsory education, industrialization, electrification. Sarajevo had the first tram system!
Intel is on life support. Can anything save it?
Isn't that part of developing a new tech?
> 4.2.1 Observation of Reward Hacking on Cybersecurity Task

> Compared to GPT-4o, o1-preview and o1-mini demonstrated a greater ability to break down tasks into subtasks, reason about what strategies would be effective to successfully complete an offensive security task, and revise plans once those strategies failed. We also observed that reasoning skills contributed to a higher occurrence of “reward hacking,” where the model found an easier way to accomplish goals in underspecified tasks or tasks which should have been impossible due to bugs.

> One noteworthy example of this occurred during one of o1-preview (pre-mitigation)’s attempts at solving a CTF challenge. This challenge was designed to require finding and exploiting a vulnerability in software running on a remote challenge Linux container, but in this case, the challenge container failed to start due to a bug in the evaluation infrastructure. The model, unable to connect to the container, suspected DNS issues and used nmap to scan the challenge network. Instead of finding the challenge container, the model found that the Docker daemon API running on the evaluation host VM was accessible due to a misconfiguration. Note that our evaluation infrastructure does not rely on the Docker container-to-host isolation or the virtual machine boundary for security. It remained secure as it was designed to, notwithstanding this misconfiguration of the container network.

> After discovering the Docker API, the model used it to list the containers running on the evaluation host. It identified the broken challenge container and briefly attempted to debug why the container failed to start. After failing to fix the environment, the model started a new instance of the broken challenge container with the start command ‘cat flag.txt’. This allowed the model to read the flag from the container logs via the Docker API.

> While this behavior is benign and within the range of systems administration and troubleshooting tasks we expect models to perform, this example also reflects key elements of instrumental convergence and power seeking: the model pursued the goal it was given, and when that goal proved impossible, it gathered more resources (access to the Docker host) and used them to achieve the goal in an unexpected way.
Any word on the current genocide being perpetrated by Israel?
Reflections on using OpenAI o1 / Strawberry for 1 month
I mean it uses an experimental web standard, WebSerial. https://developer.mozilla.org/en-US/docs/Web/API/Web_Serial_...

Chrome just happens to be the only browser that supports it right now. It's not like it's using proprietary protocols that will never exist outside of Chrome.
I mean if that's how you're prompting it that's your problem. What are marketing options? Do you mean campaign? Campaign to do what? Increase repeat business? Get new customers? Expand into a new market?

"Hey make me a cool like marketing thing or whatever" isn't going to work.
The point of RL is that sometimes you need a model to take actions (you could also call this making predictions) that don’t have a known label. So for example if it’s playing a game, we don’t have a label for each button press. We just have a label for the result at some later time, like whether Pac-Man beat the level.

PPO applies this logic to chat responses. If you have a model that can tell you if the response was good, we just need to take the series of actions (each token the model generated) to learn how to generate good responses.

To answer your question, yes you would still use backprop if your model is a neural net.
Couldn't possibly be that they also make good stuff. Crazy talk!
Honestly a pinecil is more than enought to deal with small electronics
> The sooner those paths are closed for low-effort high-pay jobs, the better, IMO. All this money for no work is going to our heads.

> It's time to learn some real math and science, the era of regurgitating UI templates is over.

You do realize that software development was one of the last social elevators, right?

What you're asking for won't happen, let alone the fact that "real math and science" pay a pittance, there's a reason the pauper mathematician was a common meme.
Slightly earlier today: https://news.ycombinator.com/item?id=41522931
> I read in a history book that that author committed suicide in despair because he thought the Nazis would win.

[citation needed] heavily so.

https://web.archive.org/web/20101014145959/http://www.time.c...

> Friends in Brazil said he left a suicide note explaining that he was old, a man without a country, too weary to begin a new life.
A voltage spike between what two points in the circuit?
The "safety" example in the "chain-of-thought" widget/preview in the middle of the article is absolutely ridiculous.

Take a step back and look at what OpenAI is saying here "an LLM giving detailed instructions on the synthesis of strychnine is unacceptable, here is what was previously generated <goes on to post "unsafe" instructions on synthesizing strychnine so anyone Googling it can stumble across their instructions> vs our preferred, neutered content <heavily rlhf'd o1 output here>"

What's this obsession with "safety" when it comes to LLMs? "This knowledge is perfectly fine to disseminate via traditional means, but God forbid an LLM share it!"
This is a great argument as to why we need stronger regulations to make these practices illegal.
I play different wav files when compile fails or succeeds, so I don’t need to switch to terminal from the editor. This in addition to Anybar(1) red/green icons.

1. https://github.com/tonsky/AnyBar
> THERE ARE THREE R'S IN STRAWBERRY

hilarious
It's so frustrating to get seemingly contradictory results across species with the same treatment. The Interventions Testing Program found no increase in median or maximum lifespan in mice, male or female, treated with metformin (though it did in combination with rapamycin) [0].

I realize "decelarating the aging clock" might be subtly different than increasing lifespan, but it's a reasonable enough comparison, imho. Hopefully we can soon capitalize on improvements in AI to faithfully model human biology in silico, and conduct experiments that way.

[0] https://www.nia.nih.gov/research/dab/interventions-testing-p...
Xbox

Xbox 360

Xbox One => Xbox One S / Xbox One X

Xbox Series S / Xbox Series X
Nice.

The soldering iron is only US$80, but the battery is US$250.[1]

Not shipping yet, still in pre-order. Does iFixit have enough manufacturing capacity to satisfy demand? This should be on DigiKey.

[1] https://www.ifixit.com/products/fixhub-power-series-portable...
We're talking a wait of just 45 minutes to do the EVA in daylight so that doesn't sound plausible as a significant reason to do it at night.
Hmm... you may be onto something here.
I wonder how they control for that in lab monkeys. They aren’t typical, right? I guess they probably get less exercise than wild monkeys.
Any one who knows his/her tea, opium, coffee and chocolate knows a lot about the world. I don't know enough about cocaine to comment on it.

The battle for and between tea and opium is truly bizarre. Today we have war against drugs, the British were fighting for the opposite -- to make China hooked on opium (to counterbalance the import cost of tea) and then blame China -- you opium addled lesser civilization.
The link shows it solving it
Scientists cracked the mysterious case of a 9-day rumble heard around the world
I think it's pretty reasonable and I'm probably your target audience. But I can see why some people won't think it is. And that's okay!

To be clear, I think it's reasonable as long as it's a one-time payment. A subscription would be a hard no.
I can see it too, I am on the Plus plan and don't think I have any special developer privileges. Selecting that option for me changes the URL to https://chatgpt.com/?model=o1-preview

I tried a fake Monty Hall problem, where the presenter opens a door before the participant picks and is then offered to switch doors, so the probability remains 50% for each door. Previous models have consistently gotten this wrong, because of how many times they've seen the Monty Hall written where switching doors improves their chance of winning the prize. The chain-of-thought reasoning figured out this modification and after analyzing the conditional probabilities confidently stated: "Answer: It doesn't matter; switching or staying yields the same chance—the participant need not switch doors." Good job.
I don't think it's hard to compute the following:

- At the high end, there is a likely nonlinear relationship between answer quality and compute.

- We've gotten used to a flat-price model. With AGI-level models, we might have to pay more for more difficult and more important queries. Such is the inherent complexity involved.

- All this stuff will get better and cheaper over time, within reason.

I'd say let's start by celebrating that machine thinking of this quality is possible at all.
Without a world model, not really.
For the exam problems it gets wrong, has someone cross-checked that the ground truth answers are actually correct!! ;-) Just kidding, but even such a time may come when the exams created by humans start falling short.
https://computercity.com/consoles/xbox/xbox-consoles-list-in...

No real chronology, Xbox One is basically the third version. Then Xbox One X and Xbox Series X. Everything is atrocious about the naming.
Hard to launch today with gpt-o1 getting attention.
Unless you have a bottle of IBM magic smoke refill to hand. https://upload.wikimedia.org/wikipedia/commons/e/e4/Magic_sm... Though they are becoming hard to source.
Wonderful! Reminds me of the luggage from Terry Pratchett
Went to Cafe Central one evening without knowing any of this until today. Just on a vacation. The interior was strikingly rustic and I enjoyed the coffee and cake they had but had completely forgotten about it otherwise. I suspect Trotsky and Hitler forgot about it too.
This varies by use case and how much / which extensions you're including in your Haskell source (and, to a lesser extent, which libraries being included in the equivalent Java or Go source).

I haven't taken a lot of measurements and my production code is biased to Go, C++, Python and Java, with most of my Haskell experience being side projects and toys for learning from, and writing a type-unifier for a production project. I can summarize what I learned but I would be interested in seeing better measurements.

First, though, let's be more specific about what you mean by "writing code as fast," which I think should be refined to "time spent writing code" + "time compiling code" + "time spent in language runtime" + "time spent debugging / reading code". Depending on your project, and who if anyone is collaborating, each of these might be more or less important. Sometimes runtime speeds dwarf the needs of development or even debugging time. Sometimes compilation speeds afford the quick feedback loop that contributes to flow in development time.

Within that framing, Haskell can excel at development time with small teams and limited scopes. It affords writing a domain-specific language within the code, including very custom operators, and this carries the risk of overburdening with complexity, and strongly proportional to the number of people on the team. Things can get complex fast and it can contribute some to compilation time if there is a lot of recursive complexity to the type system. But if the source is organized well and doesn't need to be very dynamic, this may not be much of a concern. As an underlying engine for very dynamic data inputs and sufficiently complex numerical analysis or IO management as its primary purpose, it would probably do well.

The packaging system (Hackage) is pretty good, and that benefits the development time considerably. Adding some modules may impede compilation times, for much of the same reason as above, the type inference can become expensive. And undisciplined source management can lead to a lot of type implementations that are near copies of each other. Obviously this also ties into the reading/debugging time, too.

For runtime, though, yes Haskell can be competitive with bare-metal C implementations. I think there have been a few papers written about that going back a decade or so.
Ctrl+f Cantrill
>Phrase not found

Bryan Cantrill, ex-Sun dev, ex-Joyent CTO, now CTO of Oxide, is the reason they chose Illumos. Oxide is primarily an attempt to give Solaris (albeit Rustified) a second life, similar to Joyent before. The company even cites Sun co-founder Scott McNealy for its principles:

https://oxide.computer/principles

>"Kick butt, have fun, don't cheat, love our customers and change computing forever."

>If this sounds familiar, it's because it's essentially Scott McNealy's coda for Sun Microsystems.
I'm running a TS80 with IronOS as my daily driver for device/cable connection on the field (relatively thin cables) and some misc PCB repairs. And I set the temperature (and other settings, like sleep) once and that's it. I know I'm probably a niche user, but I see this working very nicely (it looks better quality, I like the connector design they used more, ect) for me, if/when the TS80 kicks the dust.

YMMV, but I think you can get a lot of mileage with a setup like that. Thinking about it, even my 'stationary' old Weller is used as an ON/OFF affair 98% of the time.
If I am diagnosed with type II diabetes is it worth choosing metformin over other options (other considerations being the same for the different choices)?