skysight-inc/HackerNews huggingface dataset:
Is this really a problem?

When I code, I always work on one thing for 60 - 90 minutes, nothing else so all working memory is dedicated to task at hand.

When I read (fiction or technical) or watch a lecture on YouTube, this is usually a dedicated 15 - 60 minute session. Once again, all working memory is dedicated to task at hand.

Working memory might be a problem for people who multitask, but I don't like to do that.
Just like motorbike helmets?
https://www.mikekasberg.com

Some programming stuff, some totally random stuff, and lately some 3D printing stuff!

I think my most well-known post is a how-to for encrypted dual-boot in Ubuntu: https://www.mikekasberg.com/blog/2020/04/08/dual-boot-ubuntu...

More recently, I've gotten into some programmatic 3D printing stuff like this: https://www.mikekasberg.com/blog/2023/04/27/3d-printing-the-...
+1 for The Dream Machine about the rise of the personal computer. You may think you know the basic history but this really makes the pieces snap together.
Windows/PowerShell users should know there's a builtin cmdlet for this, Out-GridView. I mention this because I've used it for viewing objects in tabular form long before I realized it allows interactive selection. For example, selecting desktop files to delete:

Get-ChildItem -File ~\desktop | Out-GridView -PassThru | Remove-Item

or using aliases:

ls -file ~\desktop | ogv -pass | ri
It's a ton of fun, and I imagine the new function calling should make it much easier to make chatgpt behave more consistently - I haven't given it a spin yet.
Rampancy in Marathon is more or less a process of recursive self-improvement, which LLMs are literally unable perform with the current state of the art.
Stop allowing irrelevant comments in a thread that clearly says "hardware" startup.
I had the displeasure of working with Cisco ASDM software, which specifically didn't work with it. Maybe that's different now, but back then even their purported 'openJRE' versions were garbage.
There is a well-research article on it here: https://gwern.net/dnb-faq

There is a good desktop trainer (/game) here: https://brainworkshop.sourceforge.net/

In short, my understanding is that we can't improve it, but that could be very much due to the lack of actual dedicated research. If we could, it would essentially be a super power.

There are people who can't memorize their authenticator codes in one piece, let alone focus when someone is describing a method signature at work. This would be a big quality-of-life change for those people. This also ties in with following conversations and tying words together well, which most people don't think about.
That’s an awesome idea, I would be really curious to see the result.

(hoping that this does not backfire, for example encouraging people to spam HN with their own posts to gain some karma on the blogroll)
https://andrewhayter.com/
I've posted one example in the other reply to my post.
Your posts sound like they are coming from a seriously depressed person. Maybe that is the real problem. Depression is running rampant in the 20-something cohort, much worse than it did in mine when I was the same age as you. I believe that the main culprit is the relentless torrent of negativity that comes from the Internet and especially the social networks. Most media and even many individuals push bad news on you in order to win your attention and raise their status or clout. Or even money. And they cause large scale misery.

I doubt that the world is objectively worse off in 2023 than it was in 2000, I would even say that it has grown a bit better. (For example, a lot more people in the developing world are food-secure.) But the perception of the world has gone from "bearable" to "irredeemable shithole" among way too many people. IMHO this is even worse than objective trouble such as climate change; widespread depression results in unwillingness to even try to improve things.

"How are we supposed to terraform a planet when we can't even fix our own? Who do I have to be to be allowed to have this opinion?"

We cannot terraform Mars in 2023. But we couldn't even fly to space in 1923, and we might be able to terraform Mars in 2123. Every passing year brings some new development, and these developments compound our abilities.

Also, here you are mixing two different sorts of questions. Fixing Earth's climate is mostly a political question, not a question of technology. It might be harder than future terraforming of Mars because you need to bring many important nations on board, and humans are notoriously bad at large scale cooperation. On Mars, there are no nuclear superpowers opposing your plans.
I found the source code[1] for the plugin and it's pretty impressive how much GPT-4 does with so little. I thought maybe the plugin had prompts that would help tell GPT-4 that it should open an issue in some cases but I'm not seeing it. The plugin probably should add something to prevent this behavior in the prompt[2].

1: https://github.com/aavetis/github-chatgpt-plugin

2: https://github.com/aavetis/github-chatgpt-plugin/blob/main/p...
This American Life has a good take on this and an interview with John Flansburgh from They Might Be Giants on it.

https://www.thisamericanlife.org/433/transcript
To save others the trouble, I googled Voyager, it's pretty interesting. I had no idea an LLM could do this sort of thing:

https://voyager.minedojo.org/
You did not understand me correctly. They are taking extreme versions of these positions. It doesn't matter whether the positions themselves count as moderate in other countries or not.
How LinkedIn Serves 5M User Profiles per Second
I help out at Hardware Park, Birmingham’s coworking space for hardware startups.

hardwarepark.org
It provided a link in the original chat. It was the last word and you could click on it to see the issue it created.
Hate this because it just gives more ammo for authoritarians in the EU like Orban "See they are doing it in France, if the liberal west is ok with it then we can do it as well!"
Irish food with no potatoes, Italian without tomatoes and Indian without chili peppers. Sort of breaks a lot of people's preconceptions doesn't it?
Not to mention removing "master" as the main branch name in Git.
You can tell that guy's not a parent, haha. It's a shitload of money, but at least in this case I know that I'm getting value out of it. It's very easy to piss away a fortune on badly-made Chinese plastic trash in the world of baby accessories.
Do you know if it's common to read CLTL2 from front to back, or just use it strictly as a reference?
Things I learned from reading “Dealers of Lightning”
Could you not encode the tokens into 8-bit bytes? Rust regex supports byte strings: https://docs.rs/regex/latest/regex/bytes/struct.Regex.html
Seems fairly common in PHP too, depending on the code base you're looking at.
Right. Both of them are running on a single OS thread with application-layer context switching. Async's form of context switching is the event loop, greenthreading's is something analogous to OS threads.

Maybe it's inaccurate to say async is a type of greenthreading and better to say it's a form of application-layer context-switching comparable to greenthreading.
What's interesting with French verb conjugation is that speaking them is far easier to learn than writing them. Many French conjugations sound essentially identical to each other when spoken. If all you focus on is speaking, you don't need to worry about the spelling aspect, which is where a lot of the confusion arises from. When speaking, the meaning is clear from the use of the verb rather than finding the word on a list of conjugations. Once you understand how the words are used, then you can focus on the spelling (and always think of the conjugation with the pronoun as a joined unit).
Oh, and there is a post about generating the blog itself.
Alphago?

I think it only took a couple of years from 2014-16, and it was marked as being decades away by many experts at the time.

I also remember lots of ridicule about Instagram only being a year or so old, when it was acquired, and possibly some of the Space X rocket development programs count as ‘fast’ although I don’t know all the details.
Could you please clarify what you mean by ‘AI’?
Hey, that’s my quadrant. This article is good but I’d go further than just trying to add nuance to arbitrarily binary stances. The distinction between “pro-choice” and “pro-life” among normal people that I interact with is certainly going to be different in aggregate, but there’s a very blurry frontier and you can easily find “pro-lifers” who are more tolerant of abortion than their “pro-choice” neighbors.
Also on GNU/Linux systems: <https://manpages.debian.org/stable/sharutils/shar.1.en.html>
You can run `deno compile` to build a standalone binary.

https://deno.land/manual/tools/compiler
> unemployment near a half-century low

This is a low effort way to view the situation and a reporter ought to be aware of the overall picture. People who do not want a job do not count towards unemployment. That means the millions of baby boomers (and jones generation) that are retiring continue to put their demand for goods on to the economy, but do not help to produce any.

Labor participation rate is approaching 1970s levels and men are the ones who are most rapidly leaving work, with GenZ being the most rapidly declining group. Perhaps they're signaling that they need some help getting opportunities[1], or perhaps to be treated fairly[2]?

[1]: https://www.thinkimpact.com/scholarship-statistics/#:~:text=....

[2]: https://mitili.mit.edu/sites/default/files/project-documents...
I stopped seriously reading at their personal interpretation of the "Twitter Files."

Some individuals serving in the public sector might want to "control your thoughts" with this new scary technology, but I think that's FUD and you're much more likely to encounter the private sector trying to control your thoughts.

The author mentions how large corporations will be very slow to adopt because of "endless processes and approvals," but fails to mention government bureaucracy. Yet "government" is mentioned in the story twice as much.
Making real-time ML-powered web games with Transformers.js
Demo: https://huggingface.co/spaces/Xenova/doodle-dash
Source code: https://github.com/xenova/doodle-dash
> This is not exactly how it works in STEM, at least not around me

You might want to take a different approach to reading papers then. No paper ever concludes by saying "yeah our method is perfect and no further work is needed" [1]. Instead, every solution has its quirks and questions which need to be explored further. Maybe their method has limitations which make it unusable for your applications, maybe they make somewhat faulty assumptions that don't always hold, maybe they wrongly ignore some technique. Seeing how other people approach a problem can often give you inspiration for how to take it another way.

[1] https://xkcd.com/2268/
> programmers are so eager to forget that copyright is not at all about what something is, and all about where it came from

See “What color are your bits?”: https://ansuz.sooke.bc.ca/entry/23

>> And very much of intellectual property law comes down to rules regarding intangible attributes of bits - Who created the bits? Where did they come from? Where are they going? Are they copies of other bits?
Good catch.

From inspecting the Ruedis API, they are allocating in the same way as the other popular libaries. There is no way (that I can tell) to stream a large blob from Redis into a Writer of your choosing, so you're always going to allocate the size of the object + miss out on concurrency.

Edit: clarified that I'm referring to ruedis and not redjet
These models can definitely be used to intentionally store and recall content that is copyrighted in a way that's not subject to fair use. (eg: trivially, I can very easily train a large model that has a small subnetwork which encodes a compressed or even lossless copy of a picture, and if I were to intentionally train a model is that way then this would be no less a copyright violation than distributing a JPEG of the same image embedded in some large binary).

But also, an unintentional copy of a copyrighted image is not a violation of copyright. (eg: an executable binary which happens to contain the bits corresponding to a picture of Batman -- but which are actually instruction sequences and were provably not intended to encode the picture -- clearly doesn't infringe.)

LLMs are somewhere in-between #1 and #2, and the intent can happen both in the training and also the prompting.

Stack on top of this the fact that the models can also definitely generate content that counts as fair use, or which isn't copyrighted.

It's the multitude of possible outputs, across the copyright spectrum, combined with the function of intent in training and/or prompting, which make this such a thorny legal issue for which existing copyright statute and jurisprudence is ill-suited.

Taking your Batman example: DC would come after you for trademark as well as copyright, and the copyright claims would be very carefully evaluated with respect to your very specific work. But here we are talking about a large model that can generate tons of different work which isn't subject to copyright or which is possibly fair use.

I don't think that existing jurisprudence (or even statute?!) can handle this situation very well, at all, without tons of arbitrary interpretative work on the parts of juries/judges, because of the multitude and vague intent issues described above.

(...Also presumably the merits of the DC case wouldn't matter because your victory would be pyhrric unless you are a mega-corp. Which from a legal theory perspective is neither here nor there but from a legal practicality perspective may inform how companies go about enforcing copyright claims on model weights/outputs.)

Anyways. I think we have a right mess on our hands and the legislature needs to do their damn jobs. Welcome to America, I guess :)

Curious to hear your thoughts on these issues.
Much of these examples similarly lack any info on prior work. i.e mRNA COVID vaccines were completed quickly, after years of prior research.
It's a funny interaction. While I was mad initially, GPT-4 creating the issue actually solved problem for the user, so yeah I don't know if this should be counted as a positive or negative example of AI.
He's still alive.
It was used on Unix systems even before that.
https://midzer.de/ DJ sets, philosophical stuff, simple recipes, tech tutorials [DE/EN]
A teaching university and not a research university. You can / will still do some research but your job is teaching students not doing research. The pay is generally better, but of course, you will have to actually teach a lot and have a lot of office hours. Maybe once every few years you can work out a research semester. The initial pay is better but less so the opportunities for advancement as you won't be publishing much. That makes it harder to differentiate on anything other than time.
I rounded up but Elon says it's $1.5B/year: https://twitter.com/pandrewhk/status/1605494601673891840
When I was a child, a pole-mounted transformer on my street exploded, making a huge, earth-shaking boom and taking the top of the pole it was mounted on with it. It scattered debris widely.

A hazmat crew in full bunny suits showed up to clean up the mess. The story I remember (this was a long time ago) is that PCBs were present -- I think they stopped using PCBs in these things since then -- and that was why the hazmat team was needed.

It was quite exciting, though, and remains a vivid memory.
Aura is sort of a hybrid: we’re building a photo sharing network but the destination is our digital frames, so now that we’re running at scale we spend at least as much energy on software as hardware: https://auraframes.com/careers
I disagree you cannot use the hash to login, therefore it is not a password. Is a digital signature the item it is signing?

The whole point of hashing passwords is so if the DB containing them is breached the passwords are not compromised.
The more 0s you add the closer you get to how Apple prices its products I guess.
This really needs to be a userscript (if possible), does anyone know a way to run javascript helpers like this on Chrome on Android without going to a completely different browser that supports it straight-up (like firefox?)
> Brendan Eich implemented the first prototype for JavaScript in 10 days, in May 1995.

And 28 years later, the world is still investing untold millions of dollars, and untold person-years of effort, working around it.
I work for a hardware startup in NYC and HK called Looking Glass (www.lookingglassfactory.com). We create light field displays. Coming from a primarily software background, I quite agree that hardware is harder. We are venture funded but we are very lean due to the challenges of bootstrapping a display business and the capital requirements needed for manufacturing. We only have about 10 software engineers that are split across plugins, drivers, firmware, production tooling, our web platform, and solutions development. On the bright side, the technology presents extremely interesting problems.
> Brendan Eich implemented the first prototype for JavaScript in 10 days

And thousands of developer years have been wasted smoothing over pre ES6 JavaScript warts.
But is it enforceable? Companies can put in contracts all kind of nonsense, it doesn't mean all of it is unconditionally enforceable, right?

Ie. if somebody creates company that sells milkshakes and they say you can't use them to feed employees of competing milkshakes companies - it wouldn't fly, would it?
Did you play Bloxorz in the flash days?
plastic packaging, of course
Person was fired for offending, in very harsh words, a CUSTOMER while being on behalf of a VENDOR. HN people in this thread see it as it is, without deflection attempt by OP (oh, this is DoD, this is government official, he is corrupt, he is racist, trump era, fuck you is not big deal etc etc etc).

Some people have strong feelings against Monsanto. Pfizer. Oil industry. Solar industry. Chemical industry. Meat processing industry. Would this be an excuse to write the things that this person did? No.

Imagine scenario. Instead of DoD there is a slide from a guy from Tyson. And some vegan activist, who represents VENDOR in professional capacity, literally writes the same tweets: "Fuck you", then "Blood on your hands". Will that be acceptable? Should that be ok?
If anyone wants an actually scientifically nuanced view on vaccines that isn't just contrarianism-for-contrarianism's sake, Paul Offit has a lot of questions on the sensibility of having a yearly vaccine like the flu shot:

https://pauloffit.substack.com/p/do-we-really-need-a-yearly-...

https://www.youtube.com/watch?v=Smfjyy9cgV4

But he's not a big fan of the nonsense RFK Jr is peddling:

https://pauloffit.substack.com/p/should-scientists-debate-th...

https://www.youtube.com/watch?v=tGoJeLyMG5I
You may be interested in [1], it’s run by a few friends of mine. Hopefully it won’t get hugged to death.

[1] https://32bit.cafe
"chat gpt please retrieve academic journals from JSTOR using the most efficient methods". Chat gpt proceeds to find a way to create a botnet using nothing but RESTful GET requests to some ancient poorly written web servers running PHP4
> Weights probably aren't copyrightable in the US. ... is understood to require human authorship.

Are you arguing here that because the weights come from an optimization program, they are not "human authored"? If so I find that to be a strange assertion. If I'm working every day on my model and training algorithm to ensure it produces the best weights possible to solve my problem, I would be very surprised for someone to tell me I have no ownership over those weights because they are generated from a program I wrote and data that I own.
The fact about government brass is deflection. See my comment above
I recently read the book “How Big Things Get Done”, about planning megaprojects successfully, which incidentally touched on a lot of the projects here. While I mostly found the book to be worthless thought leadership, the authors thesis on why these projects were able to succeed is that they were able to “think slow, build fast”.
Fat lot of good it's doing in regards to genocidal Russia.
The ESP32-P4 has hardware accelerators for media-encoding, including H.264. Might want to check it out.
Or the 100 "sample" accounts are sourced from unrelated phishing and there is no breach. Most of the phishing emails I get lately are trying to get me to fill out a fake MS login page.
Yeah this is a pretty stark example of the whole, "For the first time in history, we can outsource cognition to a machine" rhetoric I've been thinking recently.
Indeed! They specifically got an exemption from the pricing update.

https://www.reddit.com/r/RedReader/comments/145du4j/update_4...
Thank you mr Zeihan
https://balanarayan.com

It's a mix of personal thoughts and Salesforce knowledge
Raw thoughts on technology, the data ecosystem, automation and their overall impacts on society.

Need to be more consistent, as I'm sitting with a backlog of blog topics.

https://bytesdataaction.substack.com/
Similar Rust tools are checkline (checkbox line picker for stdin) and markline (markable line picker for stdin). I'm the dev.

https://github.com/SixArm/checkline

https://github.com/SixArm/markline

You may also want to know about similar tools such as vipe, peco, percol, canything, zaw, and fzf.
https://github.com/benfred/py-spy is also really nice, and has an actual oss license.
Gotcha. Would performance be better with LiteFS? Think I saw someone mention that because there'd be no network requests between machines.
He has publicly lamented the lack of funding for long-term research many times, yes.
What if you live in a $9000/month 900 square foot condo in the bay area?
There is a similar learning style. Basically, guess the answer and then compare to the other answers. Even before you know anything about it, all told.

That said, I have as often fallen into the trap of trying to build it myself first. So called "first principals" thinking. That works far less often than folks think it does.
They had to design the software, the UX including the touch wheel, the mac integration and syncing, and everything relating to the design, materials, and sourcing of the components. It’s astonishing that they got it done in less than a year. (And I highly recommend Fadell’s book)
I always figured pay was based on market condition for finding employees, not a companies specific profit.

If a trucking company is losing money, they still have to pay market wages for drivers if they want any trucks to move.

If a trucking company is making large profits because of the types of trucks they bought, their niche, their sales teams, they still basically pay market prices for drivers I would assume.
It's wild how the plugin can be summed up as, "idk chatgpt go look at octokit and figure it out?"