skysight-inc/HackerNews huggingface dataset:
Nice to see Steve Yegge back to writing blog posts :) One of the reasons I was excited to join Google was to read all of his internal posts, but it turns out they were mostly on Google+, which was taken down by the time I joined.
> If it makes less authors turn out the junk that fills much of the shelves I have to peruse at the moment then all the better, but I don't think I will be seeing books on shelves predominantly by AI authors.

That sounds a lot like so many of the "this technology will never replace X", like, for example, digital cameras.

The technology frequently does.
Apples and oranges, kind of. Frameworks are repairable and have some hardware transparency, but aren't open, libre, free-as-in-freedom, or privacy focused like StarLabs. (EDIT: Looks like the 16" Frameworks are 16:10 like the Starfighter, vs. the 3:2 13" Frameworks.) Starfighters are Linux-first, Frameworks are Linux-compatible, and there are rougher edges on Linux Frameworks.

If you want a better or more libre Linux laptop right now, get a Starfighter. If you want a laptop with more hardware hackability and replacement options, at the expense of libre/privacy features, battery life, supported Linux options, and high-end performance, Framework's an option.
> You're describing an incredibly toxic environment. Executives blowing each other off, employees not trusting executives, executives not considering a problem real until they've seen it themselves. All of this is a crutch in place of actual trust.

That's kind of the problem that Starbucks is having right now.

Or rather, it's a symptom of the war its executives are waging on its employees. The former are going to need to do a hell of a lot more then a shift a month to rebuild that trust.
> Why do they do this?

Plastics are made in huge quantities from by products of oil, gas, and coal.

Petroleum is decomposed under heat into gasoline, kerosene, naphtha, light oil, heavy oil, etc. Most plastics use naphtha as main raw material. Naphtha is further decomposed thermally and separated utilizing the difference in the boiling point (temperature at which the phase change from liquid to gas occurs) to form ethylene and propylene, which are the raw materials for plastics.

Chances are the electricity that you're using to read this was generated by oil / gas / coal; the world runs on oil.

Plastics are essentially a convenient by-product, which can be made cheaply and in bulk, and they do a good job preserving foods.
> Let the guy share some of the responsibility.

They should share 100% of the responsibility for their ejaculate

Plus birth control pills have side effects
People say "nuked" or make similar references to Hiroshima/Nagasaki, which I dislike for that same reason, but it's odd how that's generally given a pass.
Introduction to the Linkerd Service Mesh
Google is so f'ed right now.

Can you imagine Google just released a davinci-003 like model in public beta? That only supports English and can't code reliably.

OpenAI is clearly betting on unleashing this avalanche before Google has time to catch up and rebuild reputation. They're still lying in the boxing ring and the referee is counting to ten.
Because she claimed to be taking the podium for one purpose (to calm the room down), but then immediately pivoted to another purpose (lecturing the speaker with prepared remarks about how he is wrong about various things).

If she had asked him if she might take the podium in order to lecture him, I doubt he would have acquiesced.
The CEO should have incredible hustle and ownership, breath of experience, ability to see second order effects in both the business and the market, ability to predict the business environment in the short and long term, ability to plan changes strategically, ability to judge how areas of the business are functioning or impaired, etc.

The job of the CEO is to know as much as possible and take responsibility for it.

That doesn't always happen, but it should.
this doubles as a job interview

the Dean is wrong in asserting that the students will need to encompass and address disagreement later in their careers to serve their clients

the students protesting will take up work at places like SPLC where donations from Silicon Valley elites will pay them $1 mln/year to witch hunt Americans

the protest is just job prep
China says it ‘firmly opposes’ forced sale of TikTok
Have you seen a Korean prison or heard first hand accounts of people who have experienced it?
It is so wild to read stories about gym subscriptions from here (Czechia), where gyms mostly work on "prepay principle" (buy 10 entries or 3 months in advance etc.), or you use a "Multisport Card" that will let you enter one sports facility a day almost anywhere in the country.

I have been frequenting gyms since 1998 and I don't think I have ever heard of anyone actually signing a contract with a gym and letting them charge his card. That is just not a part of the local gym culture, most gyms probably don't even have the necessary logistical structure in place to handle such contracts with repeated charges.
Doesn't most bleach contain stabilizers? Perhaps that part of it. The other possibility is that when bleach reacts with stuff it can form other, more stable compounds.

Either way, I generally agree with your position. Bleach tends to break down pretty quickly compared to many other things.
Summarizing and adding some points:

- Relativity Space was founded in 2016. Just to compare, Blue Origin was founded in 2000. It serves as a stark example of how throwing money at something doesn't necessarily solve problems. Who would've thought in 2000 that 23 years later Blue Origin still wouldn't have reached orbit?

- SpaceX's Falcon rockets use oxygen and RP-1 (ie pure kerosene) as fuel. Starship (like the RS Terran rockets) are attempting to use methane instead of RP-1. This is incredibly complicated because RP-1 is liquid as normal temperatures and methane isn't. So instead of chilling one fuel, you have to chill both. A big reason to do this is relevant to rocket reuse. RP-1 leaves behind a soot-like residue all over the inside of the engines. This process has a name that I can't recall. Methane does not have this problem so should reduce reuse cost and turnaround time;

- The company claims they will be hopefully flying the Terran R (reusable and larger version of the Terran 1) as early as next year. I am extremely skeptical. RS hit some important milestones with this launch but ultimately did fail to reach orbit. To argue we're 12-18 months away from a newer, larger and reusable version seems beyond optimistic at best. Landing a first stage is nontrivial. I think 2-3 years is more realistic and still aggressive;

- Falcon 9 can carry ~22,000kg to LEO. The Terran-1 has a projected payload of 1250kg so even with the low launch cost, the cost per kg is uncompetitive. Remember a rocket can carry multiple payloads (eg the Starlink launches a bunch of satellites at once). Still, there might be a market for this;

- RS seems to be putting all their eggs in the Terran-R bucket, which aims to be a reusable vehicle. I don't have details on this but I assume like Falcon it'll be a reusable stage 1 that lands. I'm not sure what the projected payload and cost of this is;

- 3D printing is mentioned all the time in RS news. I'm honestly not sure why. Is this really an advantage? Rockets are big. They're made of very large components. The usual advantage of 3D printing is not in cost but in your ability to produce things that cannot be made with traditional methods. For example, newer planes like 787 do this for key components in the engines. Ultimately i don't think people care how it's made, just what the payload cost, launch lead time and potential launch volume is.

Personally I'd like to see more competition in this space so I wish them well.
Alexa is dead. It's basically yesterdays tech.
Your substack is a treasure trove. Makes lesswrong articles look mentally rigid.
I don't see much of a moat currently, or even developer lockin. The current APIs, and this new plugin architecture are dead simple.
At which point is something like this not a bicycle but rather a motorbike?
https://github.com/Lillecarl/nixos/blob/master/shitbox/disko... this is my declarative partitioning scheme, I use mdraid, LUKS, LVM and btrfs. I also mirror my bootloader so if one drive dies I can still boot :)

Hardware raid is legacy :)
I like your last paragraph a lot, one reason in my experience as to why a problem didn't get reported/fixed is that employees are unfortunately rarely rewarded for fixing processes in large structures (or just once, when the fix itself improves the productivity in a lasting manner).

So a real blocker in my opinion is that there is no clear incentive structure to even think or care about a fix in the first place.

The CEO will care much more about it because their compensation/position is essentially tied to improving this side of the business.
And that's when work from home will be abolished by that company, and AI will be banned from the company network.
Show HN: Generate product insights from user feedback with AI
Hello folks!

Excited to show off something i've been working on recently. Essense.io

Short pitch: Analyze user feedback with AI to generate actionable insights.

Longer Pitch:

Have you ever wanted to analyze your own product or that of a competitors' to figure out what the product is doing right? (and more importantly, what it's doing wrong?).

With a few clicks you can figure out what users love and hate most about a product based on reviews posted to the Appstore, Playstore, Trustpilot, and more!

You can also import your tickets from HubSpot or custom client transcripts to run the analysis against it.

Notes:

- Some folks may feel uncomfortable sharing private data (HubSpot tickets, Transcripts, etc...) with Open AI, totally get it. I'm working on fine tuning a llama model to extract insights so i don't have to send anything over but for an initial launch it seems to work well. For existing publicly available reviews (Appstore, Playstore, Trustpilot, etc...) there should be no worries there.

- Adding G2 and Capterra soon, happy to take any suggestions for other sites to fetch reviews from.

Fun fact: Best apps i've found to test for NEGATIVE reviews have been dating apps, boy does Tinder have some hate reviews.

Happy to hear any and all feedback, positive or negative.
Portmaster*
Of course we are losing if developers and tech workers see Unions with suspicion. To win we need to unite. And until the meritocratic, individualistic ideology that prevails in technology is stopped, we cannot do that.
Do people still use Fark?

Back in the day, I used switch back and forth between Fark and Digg and eventually went full Digg.
Ya i'm trying to think where on earth I used a programming language that has the same concepts such as race, sync and about 500 other things i recognize in verse. This forgotten language also just so happened to compile down to blueprints.

Sweeney totally bought skookum and threw it away and then just so happened to reinvent all the same keywords.
I think it would be better if he stuck to one. That way employees might over time become comfortable enough to voice their concerns to him. A one-time visit would feel more like an inspection than anything else and everyone would be on their best behavior.
> People complain about the way high-frame-rate cameras look cheap.

Everyone is entitled to their opinion, especially regarding aesthetics. But this is pretty much the same sort of complaint that I was criticizing. You can have a genuine steadfast aesthetic preference for black and white films, or silent films, or SD digital video, but I disagree with extending that to anything of the form “technology X is undesirable because it makes films more realistic and films are not supposed to be realistic.”
If you are referring to this

> First, Associate Dean Tirien Steinbach is currently on leave. Generally speaking, the university does not comment publicly on pending personnel matters, and so I will not do so at this time.

then there is clearly no reason to think that is all that will happen.

> every day that passes without firing and completely repudiating the DEI dean is a grave injustice.

How would it be a grave injustice? I'm sure there are those with political motives that would like to see mob justice, but firing someone without dotting all the i's just means you'll pay massive legal expenses and they'll be given their job back, as it should be.
Google's assistant, on the other hand, did figure out the reservation trick. Reportedly "book a table for four people at [restaurant name] tomorrow night" actually works, though I've never tried it.
Ross was convicted on the generic conspiracy (which does not depend on violent acts) and then sentenced on preponderance of the evidence of the individual possible overt act that one of the conspiracy acts was murder for hire. Not sentenced based on beyond reasonable doubt he did the murder for hire.

The fact is the way "prosecution actually works" is you accuse someone of a generic conspiracy, show some element of the conspiracy was beyond a reasonable doubt true (like drug distribution), and then go to sentencing considering any element by preponderance of the evidence. It's a chilling short-circuiting of justice. Ross wasn't convicted of violent acts beyond a reasonable doubt, he was convicted of a continuing criminal enterprise where a judge thought it was more likely than not involved murder-for-hire.
Consumer rights are still stuck in the 90s. Digital purchases are treated like some kind of special case where the vendor can do whatever they want and get away with it instead of an exchange of goods for money.
I know a large commercial entity will never do this, but I'd love to see a Sci-Hub plugin connected with the Wolfram plugin and whatever other plugins help to understand various realms of study. Imagine being able to ask ChatGPT to dig through research and answer questions based on those papers and theses.
So they’re just going to call Hindenburg dirty liars trying to manipulate the stock price to make a buck?

I think Hindenburg has a pretty solid reputation at this point. So what they should do is refute their points one by one with data. It will take effort and weeks of work, but failing that people will assume it’s because they can’t refute those points.

I literally put my money against them this morning by opening a small short position. So far, I feel happy with that decision.
Sure, fixing the problem is great, but if the CEO needs to personally witness the issue for it to get fixed, then there must be thousands of other issues not being fixed.

Keep in mind in a corporation like Starbucks, the CEO is likely a hundred or more levels removed from the daily operations of a cafe. That's a lot of internal politics for even a motivated regional manager to navigate.
Ask HN: How do you handle your “personality” at work?
Kind of difficult title to write but this is constantly something that's on my mind in the professional sense. I'm a software dev and don't have concerns with my technical abilities per se but am always second guessing how I behave or present my personality at work. I'm always professional and that's not explicitly a concern but am rather focused about "showing too much personality". I've literally always wanted to work as an engineer since I was a child and am genuinely happy and grateful to be able to work in a technical role (am the type who does not _optimize_ for pay because I gain more enjoyment just doing the job - yes pay is important too and that's not lost on me).

To elaborate on this I'd describe myself as usually "excitable" or "jolly" in social situations because I genuinely enjoy talking/conversing with others and hearing what they have to say etc. This often isn't focused on "personal subjects" (unless appropriate) but rather technical topics (much of why I enjoy HN and other technical/applied-knowledge forums).

My conflict is that behaving like this just doesn't feel right. I almost feel that "showing personality" gives others the impression I am lacking technical skills or don't take things seriously. The majority of people I've worked with in engineering positions seem so calm, composed, and stoic. I find these character traits admirable but they don't necessarily come naturally to me. I worry that during interviews I come across as a "risky hire" and the behavior described is "holding me back" in some way.

This was mostly a rant up to now and it's nice to organize thoughts and get to "what's the point of writing this"?

I think working in/at/for an Organization is partially about "conforming" to the group and being able to fit-in (or just not sticking out). This can be relevant for career advancement among other things. At the end of all this I just feel that I don't fit-in.

This is probably a double-edged sword and others may feel a similar way about things in reverse.

Regardless, am curious if others feel/have felt this way and if there are thoughts about this dynamic in general.

cheers
"I thought bleach and alcohol were thought to not create pressure for resistance because of their nature."

I think the most famous example is that bleach (at least at normal cleaning concentrations) doesn't kill MRSA. In theory this would give it an advantage.
Tomatoes didn't even exist at all in Italy until the "Columbian Exchange" in the 15th/16th Century. It shouldn't be a surprise at all that pizza in the middle ages was nothing like today's pizza.
So that square icon to stop generating response was actually intended? I thought it's always been some sort of a fontawesome icon never loading properly in my chats :'D
The Microsoft Surface devices feel pretty close to modern Apple in fit and finish while also being able to boot whatever else x86 you feel like playing with.
Unfortunately their stance towards repair in practice is also pretty similar to Apple. Still, that doesn't change the fact that they physically feel quite nice as devices.
ChatGPT-4 says:

As an AI language model, I do not have real-time information on the latest hardware releases or benchmarks. However, based on my last update in September 2021, the Intel Core i9-13900K and AMD Ryzen 9 7950X3D did not exist at that time. I suggest checking recent reviews, benchmarks, and comparisons on tech websites or forums to get the most up-to-date information on the performance of these processors.

and ChatGPT + Bing (Sydney) says:

The AMD Ryzen 9 7950X3D is faster than the Intel Core i9-13900K in gaming and almost matches the 7900X in multi-core performance. The Ryzen 9 7950X3D is slightly hotter, running at 63°C, while the Intel Core i9-13900K’s temperatures are at 60°C. The Ryzen 9 7950X3D has better 1% lows by losing 42.1% frames. The Ryzen 9 7950X3D has a price tag of $699, while the Intel Core i9-13900K has a price tag of $589. At 1080P resolution, the AMD Ryzen 9 7950X3D is ~2.53% faster than its competitor. Ryzen 9 7950X3D has lower power consumption and a more excellent performance-per-watt value.

with 3 sources: TomsHardware, Tech4gamers and UserBenchmark.
Interesting Kickstarter for an open-source TTRPG system, called Rapture. Check it out if you're interested. Freebies for the system can be found in Itch.io, for those interested.
This could a big win for Microsoft (and big loose to Google and Amazon cloud). Since chatgpt has to query those plugins with http(?)request companies might move their servers to Azure to reduce latency and cost of bandwidth
GP must be confused with Monaco or Montevideo
none of those things listed are minor things, those things are the entire job.

no, a CEO isn't going to know what a clopen is like, but if they're responsible for people who are designing a process / choosing a set of tools / setting expectations for employees, being willing to step into the workers' shoes is a worthwile move.
The Single Button Startup
> nobody can beat the market over time, with maybe 1-2 exceptions.

Apologies for the poor wording. Agreed there do appear to be a few people who beat the market regularly. My perspective is those people are not using the same tools available to even elite traders - Buffett gets really good deals because of who he is. That kind of thing isn't available to anyone else and in the context of "could GP beat the market if they worked really hard and were really smart", it rounds to "nobody can beat it".
Next:

1. Prompt it to extract the audio track, then give it to a speech-to-text API, translate it to another language, then make it add it back to the video file as a subtitle track.

2. Retrain the model to where it does this implcitly when you say "hey can you add Portuguese subtitles to this for me"?
"People's first company".
I’m surprised Apple hasn’t improved siri with a model like this. Currently it’s just trash but with a GPT style model behind it you could actually get it to do things.
What does this have to do with giving out condoms ?

Those that abstain don’t have to pick them up, but could still practice I guess
When you read Peter Pan you need no scientific confirmation lucid dreams allow becoming the architect of your dreams and enjoy flying around.
.. since I just used some dilute bleach to de-stink a kitchen sponge (yes, I will buy some more sponges next time I think of it):

You do have to be careful. I soaked the sponge in several changes of water, soapy and clean. But come on! Bleach is a mainstay. Just don't overuse it.
This experiment is way out of my depth, (and I don't know if that's going on here? <shrug>) but I think what you're describing is an interesting phenomenon, which I'll try to explain.

I think it's important to keep in mind is those cases certain models are being tested. In good science, you do experiments with certain models in mind, and of course associated models of your apparatus and machines themselves, and then you compare the results for consistency. You have to be very careful with any other additions in your statistical analysis that wasn't generated by the model, including the models of the machines (say some kind of 'epistemic uncertainty' or 'procedural uncertainty' or something like that) to correct after the fact, as I believe it potentially invalidates the base models by itself.

For example, say you measure gravity at sea level with 1 apparatus and report gravity is 9.9 +/- 0.1. Then you get a second apparatus, and measure 9.2 +/- 0.1 (i.e. something went wrong). The difference is significant. Then you realize there must be some error, so you add a 'experimental error parameter', which you can tune, and it has implications on both measurements: you adjust it until the uncertainties are compatible (which is to be expected from consistency of experiments), and arrive say at 9.9 +/- 0.6 and 9.2 +/- 0.6 for the first and second experiment. This new parameter clearly doesn't belong in the model, and there's no model for the parameter itself: there's no explanatory mechanism involved, only a new free parameter. Something you could say honestly, is that we known there's experimental error in one or both of the experiments, or the base models are significantly incorrect. But you can't say take an average of both results and say gravity is 9.55 +/- (..), because the existence of either experimental error or base model error (at least to a few sigma of certainty) invalidates this procedure -- that is, unless you just want a guess for some sort of immediate practical application and the "experimental error" is acceptable.

Another common and well known effect in experiments is knowing the result you want to get, and trying different "adjustments" or redoing analysis until (subconsciously or not) the analysis yields the result that agrees with previous observations. This has been reported by Feynman in his books. I believe some modern experiments shield against this by, among other ways, not seeing the results of an analysis until you're sure the experiments/analysis is good (so you can't fine tune the experiments analysis to get known results).