skysight-inc/HackerNews huggingface dataset:
The human is not perfectly symmetrical by a vertical line - same as our faces!

Do you have the project somewhere online to share - git, blog, reddit, etc.? I would like to have a follow up on your progress!
My, how very interesting! And how very damning - both of Mr. Bray, and of gamer "journalism".
I think reasonable thing here would also allow contractors send counter offer. Maybe 10x 100x or 1000x. Then it would be up to side ordering to accept or reject one of those.
In Poland it would cost 2 to 3k euro. Can help with it.
Location: India

Remote: Yes

Willing to relocate: Yes

Technologies: Python, Ruby, NodeJS, GraphQL, Kafka, (willing to embrace any BE stack)

Résumé/CV: https://drive.google.com/file/d/1OpUYE8xWVeeshY2OFah_Uqo4C-S...

Email: lubdhak12@gmail.com

LinkedIN : https://www.linkedin.com/in/lubdhak/
This is an awesome overview and if you want more, most of those are documented in an approachable way on YouTube.

Just wanted to provide some perspective here on how many things those projects need to take care of in order to get some training setup going.

I'm the developer behind TMInterface [1] mentioned in this post, which is a TAS tool for the older TrackMania game (Nations Forever). For Linesight (last project in this post), I recently ended up working with its developers to provide them the APIs they need to access from the game. There's a lot of things RL projects usually want to do: speed up the game (one of the most important), deterministically control the vehicle, get simulation information, navigate menus, skip cut scenes, make save states, capture screenshots etc. Having each of those things implemented natively greatly impacts the stability and performance of training/inference in a RL agent, e.g. for the latest version the project uses a direct capture of the surface that's rendered to the game window, instead of using an external Python library (DxCam). This is faster, doesn't require any additional setup and also allows for training even if the game window is completely occluded by other windows.

There are also many other smaller annoying things: many games throttle FPS if the window is unfocused which is also the case here, and the tool patches out this behaviour for the project, and there's a lot more things like this. The newest release of Linesight V3 [2] can reliably approach world records and it's being trained & experimented with by quite a few people. The developers made it easy to setup and documented a lot of the process [3].

[1] https://donadigo.com/tminterface/

[2] https://youtu.be/cUojVsCJ51I

[3] https://linesight-rl.github.io/linesight/build/html/
I've been arguing here that Apple should not decide what apps a user can run on an owned device, yet, scores of commenters right here, on Hacker News, were telling me, "do research prior to buying the device". No, you shouldn't.

Apple should be stripped off this power. EU's DMA is a first step, but we need such policies applied everywhere. So far, the only ones who benefit from AppStore monopoly are Apple themselves and various authoritarians around the world.
That's exceptionally detailed answer. One thing I remember is how microsoft windows [0] had so much trouble while migrating to git

0. https://arstechnica.com/information-technology/2017/05/90-of...
No, that's just what everyone calls SQL statements. It's fine.

I like this idea. It sits between "developers have access to prod" (no! bad idea!) and requiring everything to be signed in triplicate. It provides a low-friction way to make reviewable changes to prod.
For a full account of the new service we're offering check this blog article: https://proton.me/blog/docs-proton-drive
> The end-game is just dissolving any distinction between compile-time and run-time.

No it isn't; nobody wants that. Or not all the time.

We'd like to use the same language at compile time and run-time.

But it's useful for compile time to happen here, on our build system, and run-time on the customer's system.

We don't want those to be the same system, or at least not in production with the actual customer.
Did you ever try though? Did you try to initiate a lucid dream with the conscious intention of recalling your waking state?

A lot of limits in lucid dreams are entirely self-imposed and often broken through or bypassed with conscious intention.

I participated in lucid dream research years ago, and definitely could recall exactly where I was sleeping and more details about my waking state, while executing the experiment task inside the lucid dream.
I worked with one of these ASICs, from Broadcom. Not 40, but something like 4x10+24x1Gbps + PCIe to CPU. The ASIC cost as much as you would expect (I don't know the actual number - a couple hundred bucks?). The software interface to it was very poorly documented, and was a library that supported all Broadcom switch ASICs, so was a few hundred megabytes .a file and was full of functions that would just return "not supported on this device" errors, which you wouldn't know until you tried it.
“structured Markdown” sounds like an oxymoron.
AI is safe if it does not cause extinction of humanity. Then it is self-evident why it is important.

The article does link to "Statement on AI Risk", at https://www.safe.ai/work/statement-on-ai-risk

It is very short, so here is full quote.

> Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.
Ironically I had to use AI to get to the point. It reads like a recipe with a long-winded introduction/story.

This is the AI generated (CoPilot ChatGPT 4) Tldr; :

- *April Fools’ Marketing Stunt*:
- Planned a fake company sale announcement as an April Fools’ joke.
- Generated significant buzz and reconnected with many contacts.
- Ultimately revealed the joke, gaining positive feedback.

Here’s the full AI generated summary in bullet points:

- *Founders and Background*:
- Ilias Anwar and Johannes Naylor, founders of Tapped Ai.
- Ilias ran TCC Entertainment; Johannes ran hackathons and a tech startup.
- Met through a podcast interview after college.

- *Initial Collaboration*:
- Discussed issues in the music industry.
- Decided to stay connected and explore startup ideas.

- *Startup Evolution*:
- Explored various ideas: badge verification, LinkedIn-style platform, Ai record label.
- Gained significant online traction but realized ChatGPT could outperform their tools.

- *Antler Program*:
- Accepted into the Antler Residency program in Austin, Texas.
- Moved to Austin, worked long hours due to poor hotel wifi.
- Realized they needed to pivot from Ai record label.

- *Mentorship and Pivot*:
- Spoke with mentors and attended New York Tech Week.
- Decided to focus on live music data analytics.
- Launched a matchmaking service for performers and venues.

- *April Fools’ Marketing Stunt*:
- Planned a fake company sale announcement as an April Fools’ joke.
- Generated significant buzz and reconnected with many contacts.
- Ultimately revealed the joke, gaining positive feedback.

- *Current Focus*:
- Shifted to a live music data analytics company.
- Continued to innovate and adapt their business model.
How Did Silicon Valley Turn into a Creepy Cult?
Would having an AI boss be better than your current human one?
It’s not a technical term. The dictionary definition of safety is what they mean. They don’t want to create an AI that causes dangerous outcomes.

Whether this concept is actionable is another matter.
I’m not the best person to answer this question, but AFAIK it’s very very fast (in the rough vicinity of C). But also memory-hungry.
The idea that most AIs are unsafe to non-AI interests is foundational to the field and typically called instrumental convergence [1]. You can also look up the term "paperclip maximizer" to find some concrete examples of what people fear.

[1]: https://en.m.wikipedia.org/wiki/Instrumental_convergence

It's unfortunately hard to describe what a safe AI would look like, although many have tried. Similar to mathematics, knowing what the correct equation looks like is a huge advantage in building the proof needed to arrive at it, so this has never bothered me much.

You can see echoes of instrumental convergence in your everyday life if you look hard enough. Most of us have wildly varying goals, but for most of those goals, money is a useful way to achieve them -- at least up to a point. That's convergence. An AI would probably get a lot farther by making a lot of money too, no matter what the goal is.

Where this metaphor breaks down is we human beings often arrive at a natural satiety point with chasing our goals: We can't just surf all day, we eventually want to sleep or eat or go paddle boarding instead. A surfing AI would have no such limiters, and might do such catastrophic things as use its vast wealth to redirect the world's energy supplies to create the biggest Kahuna waves possible to max out its arbitrarily assigned SurfScore.
> "but my mind immediately went to some of the harder technical writing I've enjoyed [...] math books"

What are your favorite Math books, and what texts did you enjoy the most? Could you please share the titles?
Japan introduces enormous humanoid robot to maintain train lines
Ange's top patron is BeamNG, arguably the most physically accurate sim racer out there right now (in some areas, it still needs improvement). I predict within five years BeamNG + engine sim will leapfrog what anyone else has done in this area and recreated what we all thought video games were doing when we were little kids.
The semantics are much more restricted than goto. (a goto could always create a loop but situation indicators don't; a goto can jump between binding contours but situation indicators don't; etc.)

I think of it as an imperative way to pretend you're writing a tail-recursive nest with multiple base cases.
Why obsess over the compiler running into a loop? That's way less harmful than the compiled application getting into a loop on the end user's machine.
What does the end game look like?

Browser automation tools imply that we can battle this forever. Much like with copyright and other forms of DRM/anti-cheating technology.

I don't believe there exists purpose in chasing this rabbit beyond making customers and investors believe they have a chance of actually catching it.
Thanks for the clarification!
I was referencing from an archaeological website of India and had confused BP with BC along with many other things:P
Laughing Gas Changed the World
Measuring Wisdom (2017)
After configuring the vendor uBoot to chainload into a newer uBoot-compile with JustEnoughUEFI compiled in, you can just launch the standard Debian Arm64/UEFI install iso on many/most(?) popular SOCs.

W.r.t. GPIOs, I agree, that delegating that to an e.g. Arduino connected via USB/UART or one of the available internal(often RTC), or external(HDMI/VGA) I2C connections as an I2C slave is the preferred solution.
AFAIK OpenFlow tried to be far too generic, resulting in it not actually mapping onto any actual hardware without lots of abstraction leakage.
What sexist belief would that be, out of curiosity?
There are plenty of apps with maps for hiking. Hell, I use QGis when I go in long-paddle boarding expeditions (a general purpose GIS environment). I'm fine with letting the big monopolies handle the 90% case of going from A to B as quickly and efficiently as possible. And I'm very, very grateful for the other 10% which is enjoyable and in the realm of citizen agency.
Without looking the answer, what is your intuition about the size of the VC-dimension of ReLU networks as a function of a number of weights and layers?

Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks https://arxiv.org/abs/1703.02930
I'm not aware of any bugs like that. Got any links maybe?
One correction guys, river had started drying around 4000 years ago and took 500-1000 years to dry completely.
Seems that they might be showing a different robots.txt to Google: https://x.com/pedrodias/status/1808799403798409216
great post, lots to think about
> It was wild; still I don't understand why I would feel responsible for any of these events in history.

> Great for them, but as a Russian I saw nothing useful coming from it my way. So why would I care.

> After several deadly Ukraine's attacks against civilian targets in Russia, I grew tolerance to Ukrainian losses

Excellent example of Russian mentality on full display. Don't understand, don't care, don't feel responsible.

This is how you differ from Germans. They have faced their past and developed a deeply internalized sense of duty not to repeat the past mistakes. They are a key contributor to the European Union, a major platform for peaceful cooperation in Europe and beyond. Despite long and violent history, they have mended relations with France and Poland and many others who have seen Germans as enemies for centuries. Since the 1960s, Germans have pursued the policy of Wandel durch Handel, hoping to bring positive change through mutually beneficial trade, including with Russia. They have provided aid and investments in billions and billions, and if anything has not reached you, then that's because Putin chose to spend the money earned through trade on missiles killing people in Ukraine instead of building better schools in Russia.

Your attitude towards the victims of the latest war is particularly vile. The only reason why anyone is dying, including Russian civilians caught in the crossfire, is because Russia started the war for which people like you keep inventing excuses out of imperialistic delusions and entitlement.

This is especially revealing:

> Just don't expect us to cede any lands we paid in blood. We used to be that stupid, but I hope not anymore.

You "pay in blood" only because you invaded another country, murdered and continue to murder people defending their homes and loved ones as you try to steal their property. There is nothing smart about thievery and murder. Germans are smart. They found a way to have a influence on the world without all that. You will continue to pay in blood until you leave Ukraine alone because that is fair and just.
Depends on one's background, really.

I understood some videos really well on the first watching, but some videos on the same technical level were like- "what?... Ooh, maybe that's okay... Oh... Yeah". Total discomfort.

It's the areas of Math where you already have decent groundings, you will find that you can take more with you from 3b1b.

Same with Feynman's Lectures. If you are a smart person but no formal background in Physics, they are fun, sure. But you read the same lectures as a Physics undegrad in your Junior or Senior year, your 'return' from reading those lectures goes up five-fold.
I mean, Andrew Gelman, he is quite the statistician.
Undeniable facts:

* Cannabis is a common psychosis trigger to those with an existing disposition (even if they don’t know it yet).

* Legal access to cannabis increases the number of people using it. This sounds obvious, and it is, but the most bandwagonny drive-by harm reduction advocates will deny it.

* There is a lesser frequency of psychotic episodes in heavy users because plenty of people learn to stay away from their psychosis triggers once they know what they are. Those that continue, are somewhat less likely to present to a hospital (voluntarily).

All of these things are true, yet this article is still pearl clutching bait.
Does it make sense to compare a C executable with an interpreted Python program that calls a compiled library? Is the difference due to the algorithm or the call stack?
Beautiful state!
I remember reading something before speculating the Stonehenge site was "off limits" to regular folk and these burials were from site trespassers. A bronze age Area 51 if you will.
Recent ASR models are already robust to noise due to Spec augment and large-scale data. If you use these noise reduction services to remove noise, ASR models will have harder time to recognize denoised audio. The reason is that noise reduction will create distortion which ASR didn't see during training.
> Once better alternative emerges we'll jump the git ship as we did before when we jumped onto the git ship.

It's not that easy at this point in time. git carries a lot of momentum, especially in combination with GitHub.

Anybody learning about software development learns about git and GitHub.

Software is expected to be in GitHub.

At the time git became successful there were arguably better systems like mercurial and now we got fossil, but git's shortcomings are too little of a pain point compared to universal knowledge about it and integration into every tool (any editor, any CI system, any package manager, ...) and process.
I met Sam Derbyshire at ZuriHac who told me all the difficult architectural work had been done for SIMD support.

+ https://gitlab.haskell.org/ghc/ghc/-/issues/7741

It might make it for GHC 9.12 (for 128 bit vectors only, and mostly floating-point operations unless other people come in and contribute).

The patch is at:

+ https://gitlab.haskell.org/ghc/ghc/-/merge_requests/12860
More than you ever wanted to know about this.

https://youtu.be/p9SbDvMhCFs

And a decent specimen.

https://youtu.be/EjHMkkkLQaU
I feel this a lot cycling in London. Both Apple and Google maps really wants you to cycle along the canals, which can be a huge pain especially on busy weekends. Thankfully I know some areas well enough and I just cycle through the path 10 metres "inland", but the maps constantly want me to do a u-turn and get back on the canal.
Nice! It also sends notifications when someone comments on your submission. I don't think the other similar services do that.
Thanks for the interest, it's on the back burner at the moment because I'm currently rage-coding a text editor :). Here's the repo regardless https://codeberg.org/jcdickinson/hexkbd
The article itself is talking about a specific book. "Superintelligence: Paths, Dangers, Strategies" by Nick Bostrom. That book is the seminal work on the subject of AI safety. If you honestly want answers to your questions I recommend reading it. It is written in a very accessible way.

If reading a whole book is out of question then I'm sure you can find many abridged versions of it. In fact the article itself provides some pointers at the very end of it.

> Am I that out of the loop

Maybe? Kinda? That's the point of the article. There has been 10 years since the publication of the book. During that time the topic went from the weird interest of some Oxford philosopher to a mainstream topic discussed widely. 10 years is both a long time and a blink of an eye. Depending on your frame of reference. But it is never too late to get in the loop if you want to.

At the same time I don't think it is fair to expect from every article ever to rehash the basic concepts of the field they are working on.
Largest sodium-ion battery goes into operation
Hmmm.. I'm trying to imagine interviewing for SE and telling them I got wealthy from a crypto market-making algorithm I coded in R during Covid and the interviewer responding with anything but laughter or with silence as they ponder legal ways to question my mental health.

It's an excellent language, I think, for many reasons. One is that you can work with data within hours because even before learning what packages or classes are, you got native objects for data storage, wrangling, and analysis. Even import my Excel data and rapidly learn the native function cheat sheet so fast that I was excited to learn what packages are because I couldn't wait to see what I could do.

That was my experience in like 2010, maybe, and after having C++ and Python go in and out my head during college multiple times. I view R as simple only because I actually felt more helpless to keep learning it than helpless to ever learn coding at all. Worth noting that I was a Stat/Probability tutor with a Finance degree and much Excel experience.
Oversimplification is bad, but there is a reason why Western/US universities are so much better at teaching students.

Imagine your professors and textbooks werent there to teach you, but they were there to show off their knowledge or to prove you that you know nothing.

A very known problem in my country is that a professor is not making a lecture to teach you something or to explain you something, the professor wants to show off his knowledge - that he is the king and you are a nobody.

Then you get unreadable textbooks full of big words (sometimes you think authors dont grasp them)... which are just plain student unfriendly.

I remembet that I had borrowed some statistics books from USA - and they were easier to read in English than the crap I had in my own language. They were easier to read and easier to understand. No big words. Just explanations and examples.

On a side note, they taught us physics with English abbreviarions. When most students didnt know English.

Think you are in 5th grade and they nake you memorize things like:
d = s x t

You have to figure out that it is distance, speed and time.

Note that those abbreviations have nothing to do with the local language. Also why even use abbreviations? Lazy teacher (AND lazy textbook) could have used full words at least. In own language, not English.

Most people from US dont realize how much easier you have. For starters you dont spend a lot of time learning English as a foreign language.
Then the non-Americans can get books that are written to teach you something* not to show that the author is great.
(* although now I think most textbooks are written for profit).
How is the performance when compared to similar implementations in C/C++ or Rust?
Umm no. Contrast with:

"Foo Lisp is getting more features. The last tweak to the syntax was 13 years ago, though."
I find it deeply concerning that the idea of diversity these people are advancing excludes diverse viewpoints and differing opinions. All kinds of diversity is allowed, as long as you agree in lockstep with us on everything.

I'm seeing this need for ideology purity pushed everywhere, in places where ideology should not matter. As far as I am concerned, as long as people are respectful they should be welcomed to contribute to the project.
This ties in to the difference between whether an effect is statistically significant ("does the effect exist?") and whether it's significant ("does the effect matter?").

It's very common to confuse the two ideas.

In particular, in an election with many millions of votes and a 55-45 margin, it's common to describe the winner as receiving a mandate to rule, because it was so easy to determine who the winner was, despite the fact that they appear to be extremely unpopular. That's not a mandate in any ordinary sense.
Btw, DRM in this context stands for Direct Rendering Manager (man 7 drm) and not digital rights management.

Took ages to figure out, I wish people would explain acronyms more often..
"I'll make sure my work is just passable" is a very strange interpretation of the original statement, which was "if more time makes your work more professional, then take more time."

You are not being paid enough to rack up tech debt during 80 hour weeks constantly moving from one sales-driven project to the next, because that's a stupid way to develop software and it'll burn you out after a year of back-to-back "why isn't XYZ done?"/"why didn't you make XYZ not buggy?" meetings, at which point you'd better have made enough money to retire to the Bahamas.
"If you have an idea, statistically 1500 other people are also having that same idea" Execution trumps ideas. It also does not need to be fast! I have seen it go all ways at this point, and I still stand by another stupid quote, "slow and steady wins the race". The real problem lies in whether you mature your idea into something with long term value. If you ask me, fast ideas, fast execution = garbage in, garbage out.
or it could be a elaborate ruse to keep power very concentrated.
And its free in fdroid

edit: Don't understand the Downvotes, the Version on F-Droid is a legitimate free version of the premium app version: https://f-droid.org/de/packages/net.osmand.plus/