skysight-inc/HackerNews huggingface dataset:
The most zeroes at the start is 14, and there's only one commit with that many zeroes, which is https://github.com/seungwonpark/ghudegy-chain/commit/0000000....
Tbh this is a bit over my head as my music degree only qualifies me to count to four. But all joking aside, I wonder how Pythagoras would feel if he knew that one day he would be better known for this theorem and not for music?

I’m amazed by how many people I meet who don’t know about his contribution to the discovery and development of tonality! You mean the triangle guy invented music???
From the FAQ:

> Is vote swapping legal?
Yes, 100%. The Ninth Circuit Court determined in the 2007 case Porter v. Bowen that efforts in 2000 to swap votes were constitutionally protected by the First Amendment. Vote swapping (or “vote pairing”) has been practiced in presidential elections in the US since 2000, most notably in 2016 and 2020 ...
The middle third of The Gods Themselves is so weird and different I thought it was a book printing error at first and I had to re-read some of it about six times to make it stick.
To put into context how few funding dollars there are in archaeology, the NEH currently has $800k available for archaeological field research proposals. That's the largest "funding agency" pool for generic field research.

This same funding agency that doesn't directly fund computer research also has $2.5M available for proposals specifically targeted to starting collaborations researching AI alignment. They have another $3.5M for the actual collaborations themselves, and an additional $2.2M for AI work that "contributes to scholarly research in the humanities".
Steel is sooooooooooooo much harder than al, it’s not even in the same ballpark. Aluminum is about as hard to cut as wood. For non round holes, you are looking at approximations or broaching. Look up manual hex broaching
Cast on the youtube app assumes you're using the Youtube app and a mobile device.

If you've got an Android TV (natively, or a TV) then this is a great UX for finding and playing youtube content directly on the TV, no mobile device needed.

It also has a bunch of improvements over using the Youtube app on your phone - Adblocking, and Sponsor Blocking being two major benefits.

I was until recently paying for Youtube Premium and it was getting increasingly frustrating trying to watch most content for the number of intrusions into the content. From "This video brought to you by <the same 30 vpn/site builder/audiobook> companies" to "Hey, just to interrupt - do you know that 90% of people don't subscribe to this channel?"

Putting SmartTube on the device took about 15 minutes, most of that was finding a browser that would let me download a file without showing a million ads.
Scrollback.
> Multiplayer needs a server backend

Did you mean single player? Although perhaps I'm just old and thinking about this in a strange way.

And can I clarify.. your scrabble app is web based already right? connecting to a rust web server for the game logic? And you want to embed that server by compiling to wasm? I probably should go read up on how this works.
Read the court cases, where Team Trump had dozens of opportunities to present their evidence and were thrown out of court—dozens of times.
In the FAQ:

>Do my voting intentions stay private?
Yes. Your voting intentions are sacred! We do not publish anything on your behalf. We only collect the minimum of data to allow us to help you find a swap or keep you updated on this project and will not share your data.

Private -- so long as they don't get hacked.
Inertial confinement fusion like the NIF is not intended to run continuously, so the 2ns duration is irrelevant. The surface area for the calculation is not the surface area of the machine, but the surface area of the volume in which the fusion is occurring which could be very much smaller than that.

The heat loss is practically limited by the mass of hydrogen fusing in the machine. To have a continuous heat flux of 10^21 watts you would need to fuse ~4*10^5 kg of hydrogen every second. Which clearly these machines are not intended to do.
Every single one of these discussion, at some point, devolves to some version of

- <LLM Y> is by far the best. In my extensive usage it is consistently outperforms <LLM X> by at least 2x. The difference is night and day.

Then the immediate child reply:

- What!? You must be holding it wrong. The complete inverse is true for me.

I don't know what to make of this contradiction. We're all using the same 2 things right? How can opinions vary by such a large amount. It makes me not trust any opinion on any other subject (which admittedly is not a bad default state, but who has time to form their own opinions on everything).
I don't write code as I'm a sysadmin. Mostly just scripts. But is this like saying intellisense writes 25% of my code? Because I use autocomplete to shortcut stuff or to create a for loop to fill with things I want to do.
Tastes differ. Myself, I think it's fascinating that we can use the convergence of infinite geometric series to prove Pythagorean theorem. And particularly inspiring / interesting that two High School students did this.
If pricing is only done by storage limits, egress and query count (but not resource usage) how do you prevent something like a massive cross join with an aggregation from just running for ages on a single query?
Related:

Alphabet ($GOOG) 2024 Q3 earnings release

https://news.ycombinator.com/item?id=41988811
Hi, I lead the teams responsible for our internal developer tools, including AI features. We work very closely with Google DeepMind to adapt Gemini models for Google-scale coding and other Software Engineering usecases. Google has a unique, massive monorepo which poses a lot of fun challenges when it comes to deploying AI capabilities at scale.

1. We take a lot of care to make sure the AI recommendations are safe and have a high quality bar (regular monitoring, code provenance tracking, adversarial testing, and more).

2. We also do regular A/B tests and randomized control trials to ensure these features are improving SWE productivity and throughput.

3. We see similar efficiencies across all programming languages and frameworks used internally at Google and engineers across all tenure and experience cohorts show similar gain in productivity.

You can read more on our approach here:

https://research.google/blog/ai-in-software-engineering-at-g...
Show HN: Radio.cynthwave.com – 24/7 NCS music radio
I wasnt able to find a site that streams NCS music 24/7 so I created one.

Frontend is static site on vercel and backend is written in Go and uses ffmpeg for dividing songs into chunks.

Lmk if you have any feedback :)
Related:

New Mac Mini with M4

https://news.ycombinator.com/item?id=41984519
This is just a silly plan grounded in the idea that we need to somehow punish those evil billionaires.

We can’t (and won’t) tax unrealized gains when there is no intent on selling.
Not zero connection, it sort of starts from when the stories were written about 20 years ago, but Accelerando maybe?
Absolutely true. The oldest devs I work with are some of the most enthusiastic about using LLM chat to develop. Among the younger devs, they all seem to use it but the amount that can actually produce working code are few.

Now I get a lot of calls from team asking for help fixing some code they got from an AI.. Overall it is improving the code quality from the group, I no longer have to instruct people on basics to set up their approach/solution. Will admit there is a little difficulty dealing with pushback on my guidance because e.g. “well chatgpt said I should use this library” when the core SDK already supports something more recent than the AI was trained on
You need 400% DPI scaling to make this usable.
To me the most interesting part of this is the claim that you can accurately and meaningfully measure software engineering productivity.
Your work computer is for work-related activities only. You shouldn't expect to be able to use it for personal or recreational purposes.
Lots of possibilities here.

People are learning to prompt LLMs in ways that produce better results for their LLM of choice, so switching to another one they find their approach no longer works as well.

Or.. LLMs have different personalities in terms of output; some being more or less direct/polite than others, or sounding more or less confident; and that is causing people to perceive a difference that in terms of factual answers may not be different.

Or just personal preference masquerading as intelligence - a classic among software engineers.
I am using Reeder 5 for RIL.
Some sort of Hamming distance in Lean proofs perhaps? Seems unlikely to capture the difference in what a person would say are different proofs tho. And even when people say a proof is different from another one there is usually some notion of "according to our current understanding" with the idea that some further result could show that the apparently unrelated results are aspects of some deeper unity.
And they only needed 2000 employees to do that.
Have you tried using chatgpt/etc as a starting point when you're unfamiliar with something? That's where it really excels for me, I can go crazy fast from 0 to ~30 (if we call 60 mvp). For example, the other day I was trying to stream some pcm audio using webaudio and it spit out a mostly functional prototype for me in a few minutes of trying. For me to read through msdn and get to that point would've taken an hour or two, and going from the crappy prototype as a starting point to read up on webaudio let me get an mvp in ~15 mins. I rarely touch frontend web code so for me these tools are super helpful.

On the other hand, I find it just wastes my time in more typical tasks like implementing business logic in a familiar language cause it makes up stdlib apis too often.
Eh, it's not new to federated sites. Many of the web sites I frequented a decade a go are dead. Or enshittified useless so I visit them rarely anymore.

It was sad to see say, the "user friendly" webcomic go away. But I enjoyd it in the time. Just live the moment. Don't expect even the big websites and apps of today to last - not at least in the form you enjoy.
Alternatively,

more logic does not validate the truth.
And that's what LLMs are trained on.

Hahaha
4K displays are the new standard. I can buy a 27" IPS 4K display from LG for $200. Anything lower res. is a boomer screen; get rid of it and move on.
Addictive website is a master class in feminist design history
Short Horror Stories by Four LLM Models in DuckDuckGo AI, Same Prompt [video]
And what's the cheapest that has IPMI? Severs without IPMI are so annoying.
For the moment, anyway. Looks pretty toxic to me, but who knows.
I assume this is a joke related to Borges' don Quixote story?

https://news.ycombinator.com/item?id=19143496
Emeralds can be manufactured artificially now, and with higher quality than mined gems, so rocks like this should have little monetary value.
What do you mean? Wasmer isn't a web frontend tech
shitting on web3 is equivalent to betting against internet, web, iphone, bitcoin and llm while shilling google and meta
That's usually done with something called a rotary broach.[1] This is a clever trick. You first make a round hole. The rotary broach is a hex-shaped cutting tool. Both workpiece and tool are clamped in a lathe. But the center of the tool is slightly offset from the rotational center of the workpiece. Both spin, but the eccentricity makes it cut a hexagonal hole. Here's the process.[1]

A milling machine can cut a hexagonal hole, but the inside radius at each corner cannot be smaller than the radius of the cutter. A 4mm hex hole would require a tiny cutter to do a good job. Here's that process for a larger hole.[2]

If the hole goes all the way through, just get a hexagonal punch. Might need to drill a round hole first.

Or just buy a 4mm socket with a T-handle. Cost US$4.99.[3]

[1] https://www.youtube.com/watch?v=_AYEFjbGaL4

[2] https://www.youtube.com/watch?v=zOqSIRuBgCY

[3] https://www.amainhobbies.com/rc4wd-metric-hex-twrench-tool-4...
It is completely honest. The question was "What fraction are driven by a remote safety driver???". Fleet response agents do not have the ability to remotely drive the vehicles. From your own source: "The Waymo Driver [...] is in control of the vehicle at all times".
I'm doing something similar with go + postgres
Show HN: GPT powered Discord bot that summarizes mental health research daily
I created an open-source Discord bot that uses GPT-4 to aggregate and summarize the latest developments in mental health research, computational neuroscience, and precision psychiatry. It scans news sources daily and delivers concise summaries to Discord.

I would look feedback on integrating additional sources for this purpose or any suggestions on prompt engineering
It is AVGO
Like the giving tree. That one hits deep
For sandboxing in JS, we can use sandboxed iframes or webworkers. Both of those communicate to hosted code via postmessage which serializes an object and this can be used as a base for implementing function calls.

Whereas if I understand correctly, WASM can be provided with host approved JS functions to call directly in importObject. This seems more convenient and fast.

But for a plugin system, many people would prefer to write plugins in JS itself, so for WASM plugins, they might have to be compiled to WASM first. Dont know how if there is a mature implementation of JS->WASM.
Say Hello to Ricochet Poker – James Ernest
>Putting SmartTube on the device took about 15 minutes, most of that was finding a browser that would let me download a file without showing a million ads.

I just followed the instructions on the webpage, after installing the "Downloader" app from the Play Store. The hardest part was entering the SmartTube URL into Downloader using the on-screen keyboard and TV remote control. Kind of a pain, but totally worth it. After that, the SmartTube app can be updated inside the app easily.
I tried using TV as monitor before, it's not designed for close use, terrible for the eye. It's better to get a monitor.
You're kidding but what about find my? I suspect things like location services and find my are reasons apple has gotten in the way of turning off bluetooth and wifi on their devices.

With wifi they get crowdsourced location data. with find my they get crowdsourced device and airtag location and relay.

(and ios nfc can't be turned off afaict)
Have you looked at Continue.dev? It’s open source and allows both local/open source and commercial models. It’s definitely got challenges / bugs (particularly for remote dev) but I think is worth a look.
On a refurb M2 MBA, as good as new. No probs with refurb iPad either.
What languages/toolkits are you working with that are less than 10 years old?

Anyhow, it seems to me like it is working. It's just working better for the really old stuff because:

- there has been more time for training data to accumulate

- some of it predates the trend of monetizing data, so there was less hoarding and more sharing

It may be that the hard slow way is the only way to get good results. If the modern trends re: products don't have the longevity/community to benefit from it, maybe we should fix that.
Your company memos sound much nicer than mine!
Well as long as you have vast amount of storage capacity + overprovision, or an alternative source of on-demand electricity, the cost of which I never see included when comparing to on-demand energy sources like nuclear of fossil fuels.
This app is the only reason I bought a FireTV Stick 4k. For everything else (Netflix, Infuse), I use an Apple TV.
App works great, can recommend.
I agree. The Bobiverse was really great. And Ray Porter’s narration was a perfect fit.
Mercurial was better than git IMO, at least for smaller projects.
You just made it less attractive to the target corps who are to buy this product from Google. Saying, intellisense means corps already have license of various of these and some are even mostly free. Saying AI generate our 25% code sounds more attractive to corps, because it feels like something new and novel and you can imagine laying off 25% of the personnel and justify buying this product from Google.

When someone who uses a product says it, there is a 50% chance of it being true, but when someone far away from the user says it, it is 100% promotion of product and setup for trust building for a future sale.
Clerk is great for new builds in the react ecosystem. We focus on more complex use cases where there are multiple user types (e.g. freemium, enterprise, partner, internal), multiple applications, or both. Having everything in one system removes a lot of tech debt and helps teams move faster.

And by "happy to chat" I meant by my email in my bio (which I just added to the public part), if it'd be helpful!
This is wonderful. Just a few hours ago I was inspired to install ancient versions of Office and Photoshop.

Word 97 is 5MB and it starts instantly. I mean there is no perceptible delay whatsoever. And it starts fully rendered and fully interactive. Same goes for Excel.

They do everything I need, and they do it better than the new ones.

The strangest thing is that while new software continues to get worse, old software continues to get better (it runs faster and faster).
I am a professional translator, and I have been using LLMs to speed up and, yes, improve my translations for a year and a half.

When properly prompted, the LLMs produce reasonably accurate and natural translations, but sometimes there are mistakes (often the result of ambiguities in the source text) or the sentences don’t flow together as smoothly as I would like. So I check and polish the translations sentence by sentence. While I’m doing that, I sometimes encounter a word or phrase that just doesn’t sound right to me but that I can’t think how to fix. In those cases, I give the LLMs the original and draft translation and ask for ten variations of the problematic sentence. Most of the suggestions wouldn’t work well, but there are usually two or three that I like and that are better than what I could come up with on my own.

Lately I have also been using LLMs as editors: I feed one the entire source text and the draft translation, and I ask for suggestions for corrections and improvements to the translation. I adopt the suggestions I like, and then I run the revised translation through another LLM with the same prompt. After five or six iterations, I do a final read-through of the translation to make sure everything is okay.

My guess is that using LLMs like this cuts my total translation time by close to half while raising the quality of the finished product by some significant but difficult-to-quantify amount.

This process became feasible only after ChatGPT, Claude, and Gemini got longer context windows. Each new model release has performed better than the previous one, too. I’ve also tried open-weight models, but they were significantly worse for Japanese to English, the direction I translate.

Although I am not a software developer, I’ve been following the debates on HN about whether or not LLMs are useful as coding assistants with much interest. My guess is that the disagreements are due partly to the different work situations of the people on both sides of the issue. But I also wonder if some of those who reject AI assistance just haven’t been able to find a suitable interactive workflow for using it.
1BRC Coding Challenge: Nerd Sniping the Java Community
The most interesting thing about the Copilot for Xcode, it seems like this is a clone of https://github.com/intitni/CopilotForXcode, that was an unofficial extension for Xcode that I have been using for a year or so. So now GitHub provides its own Copilot for Xcode, but it does not have any references for the intitni that I can easily find. Did GitHub/Microsoft just took somebody else open source code and published it as its own? So weird.
Whisky is for Mac only. Just use Wine.

I don't know if there's any comfy GUI frontends for it on Linux, but back in the day I just ran `wine installer.exe` and it ended up in my distro's app launcher.
One more announcement this week. Almost certainly MacBook Pro.

M4 Air should be in the spring.
Good thing we don't have a history of mistreatment of Japanese nationals. We clearly have clean hands in this regard.

https://en.wikipedia.org/wiki/Internment_of_Japanese_America...
A world record in the field of nuclear fusion
There's no dark budget, it's all there, the programs are just usually listed as "Classified" or "Special Activities" like NGA funding was in the late 90s.
You should give our free vscode extension a spin https://www.exceeds.ai/ (I am the CTO/co-founder)
Their actions were still unique in many ways. And the Spanish’s action were an order of magnitude more consequential. The Aztecs warred and pillage other groups but were not in the business of wiping centuries of knowledge off the face of the earth nor did they ever manage or desire to kill 90% of all peoples of central Mexico.
I’m saying that the hat is a pretty clear declaration.

But I’m not saying just what role he might find tempting. Focusing on the particular role is a red herring.

There are lots of opportunities for disruptive people with big plans who don’t mind wearing the hat to get there. As we have seen recently.
I'm working on my first SaaS, an all-in-one workspace for teams. It’s like Notion + Asana + Slack, unified into one tool.
These performance graphs are confusing and possibly cursed. Sometimes they're log scale (confusing enough) and others, I have no idea what they're trying to say.

For example, the first graph, labelled "Argon 2", nearly all the bars are the same length, labelled "100" (no units given, apparently log scale) and the individual bars are labelled with entirely different numbers in ms (presumably milliseconds).
At first I was skeptical, but that's an impressive demo for such a small machine.

The documentation on your github is a tad lacking however. :)

But good luck on your machine, I like your CPAP fan idea.
Good post of historical reminders and I appreciate the framing of bluesky's identity approach. Never was sold on Fediverse/ActivityPub as being it and not a fan yet of Bluesky's slow-building-in-public approach but am intrigued by this key facet of the main role the personal domain takes. How can one easily change/migrate their AT identity if they change domains? How is their whole social history transferrable? Like that was one of the problems/unclear things to most about Mastodon - that it actually wasn't that easy to move instances because sure your identity could move but your posts would be on the old instance, so it wasn't really that portable. I'm all about the permanence and data preservation, so I don't want to commit to a platform now without assured control over my data and ability to maintain history/identity in a move. Have enjoyed the centralization and longevity for too long on a place like Twitter to get all loose and ephemeral now.
LLMs and fast GPUs without having a giant PC spring to mind.
> But wow, 16’th page of Google, that really is uncharted territory.

Would it make a difference if instead of querying google he was at the library of a Mexican organization for environmental monitoring reading obscure reports?
I also recommend this. Been using 43inch 4K TV since last 10 years. MY first TV (Vu 43inch Iconium) died this year, Got another 43inch 4K TV from LG (43UT8050) now. Ensure you get one that supports atleast 60hz refresh rate. My first one did not at 4K. It even starts faster than android TVs. I always keep on game mode, this setting ensure minimal input latency and no TV side post processing. The smart TVs don't need to be connected to internet, since I don't use the smartness of theirs. Finding dumb TVs is difficult here.
> You can do a lot better by not spawning a new process each time. Even a rudimentary approach like having requests and responses stream synchronously and spawning N workers would probably work pretty well

And with just a tiny bit of extra work you can give the worker an http interface.... Wait a minute.,.