skysight-inc/HackerNews huggingface dataset:
This is a very cool overview! How much data ends up being cached in the postgres compute tier in the steady state? How much does query performance suffer after cold start?

Also the video in the post doesn't play for me (and is a bit too dense for its size), I had to download it to my computer to see it. A couple images might be more clear in conveying the key points.
> If anything, Musk has proven how ceremonial the CEO role is. He has the title CEO of at least 4 companies, and claims 80 hours per week is a full time role. So at best CEO is a part time job.

Also, he can't be effective at 3 of the companies since he's not physically in the office at each. It's impossible to do a good job while remote, as we all know.
> As a result, Chinese and Russians peasants are pretty satisfied with their leadership because the state doesn't have to engage in lying too much

The only satisfied people would be the subsidized nomenklatura. Normal people do notice the aftereffects of de facto Kleptocracies aka the destruction of any organization, but who cares? so the common man developed apathy as a form of civil resistance (like laying flat in china today)
Chatgpt excels at automating the mundane, time wasting parts of writing scientific articles such as avoiding self plaigerism. It is common that one scientist will write many papers about a single data set, apparatus, or observation as they try to understand what they don't understand about the system of study. Journals have banned copying and pasting descriptions of these static sections of the paper claiming this is plaigerism even when the author of the paper was the author of the previous work. Chatgpt is rather happy to spend a couple seconds rewriting sections describing these data sets or lab setups so that it provides you with a new paragraph or paragraphs that contains identical content but different words. This is a net positive in my opinion because now instead of spending an afternoon or two rewriting sections of previous papers for new papers, I can ask chatgpt to do it for me and go relax having a beer in the sun instead.
This is the fifth introduction to R. This would cover apply, math functions, Dplyr, and its features.
I fully agree, and would add that imposition of these artificial limits seems to be a fundamental side-effect of capitalism.

"Good old-fashioned" incandescents were also subject to a multi-decade scam to limit their lifetime: https://en.wikipedia.org/wiki/Phoebus_cartel

It's manifesting slightly differently this time around, but it's the same principle.
It's already been pretty clear that the real stakeholders here will let it all burn down before considering any fundamental changes.
I have a standalone Roku, third generation, so it is sitting on ten years now. It's dandy.

My suspicion has been that building in anything into a television is fraught. Dumb TVs + some kind of box for the win.
Editing the prompts (which are currently submitted via the system message similar to your linked app) is a great idea. I'll add it to the to-do list :)
Your anecdote is fine, but it doesn't resolve the issue with the wrong assessment: nowhere near "one in ten people" had this self-reflective experience you had that led to them declaring since they don't know, that was a reference to a totally different group of people
Acorn - the public design system for Firefox
ha! I didn't even think to look at the response

I guess they want to spare their server some unnecessary work and figured "who is going to look at more than 2000 pages of results?!", or maybe that's some sort of caching limit.
Author's response: https://aiguide.substack.com/p/response-to-on-analogy-making...
They 100% cannot freeze AI development. They might be able to freeze commercialization of AI development, but the First Amendment protects development of any and all code: https://samirchopra.com/2016/03/03/apples-code-is-speech-arg...
Also, section D3 of the GitHub Terms of Service says:

> You retain ownership of and responsibility for Your Content.

and section D4 says:

> This license does not grant GitHub the right to sell Your Content. It also does not grant GitHub the right to otherwise distribute or use Your Content outside of our provision of the Service, except that as part of the right to archive Your Content, GitHub may permit our partners to store and archive Your Content in public repositories in connection with the GitHub Arctic Code Vault and GitHub Archive Program.

There is nothing in the terms that requires the GitHub user to relinquish all licensing rights.

https://docs.github.com/en/site-policy/github-terms/github-t...
That's a very interesting point.

By guiding people down the "happy path" with "guardrails", we may end up in mediocrity land. Additionally, Noya is optimized for solving user/business problems and not visual exploration.

At Airbnb we had a really strong set of design guidelines, patterns, and components that (I think) both looked beautiful AND solved user needs. I think as the tool evolves and companies integrate their own opinionated design systems (vs. just Chakra UI, which is very neutral), the output will start feeling more polished & unique. But perhaps there's more we can do here.

Definitely something we'll need to think through!
Makes me think of the second verse of "Joyride," from one of Built to Spill's first, punkier albums. https://www.youtube.com/watch?v=gncB-kQUUgQ&t=72s

"This part of the song is called the second verse

Sounds just like the first verse but with different words

But all it has is three chords and they are A D E and D

There are A D and E and D

There goes the Dm D A E D"
Creditors should have the right to any assets, including any IP.
No, I made a thread about this when ChatGPT came out - https://news.ycombinator.com/item?id=33891538
Adrian Newley is aerodynamist and the current chief designer of Red Bull (current champions and top of the season). He has won more F1 champions than any other designer.

He draws his cars on paper.

Granted, I'm sure someone digitizes his designs and runs them through a CFD suite, if for no other reason that wind tunnel time rule limited.

Still.
I am highly skeptical any AI could have such a great advantage over human society that it could leapfrog us. Think about some important ideas.

Data > processing power. 90 percent of what we do occurs as a result of semi random discovery and explanation. Computers are great tools to aid in that process, but for the most part we find ourselves limited by what we know, not how much we can think. 99 percent of data is useless and correctly thrown away by our minds.

The utility of processing power in a vacuum rapidly degrades with time. If I'm a computer and I use the data I have to discover all of the rules of the universe while in a box, I'm going to emerge with many hilarious and out of touch philosophies at the end of it. You need a constant test and revise cycle, because pure logic just doesn't model the universe in an accurate way.

Moores law isn't infinite. Power efficiency and how common resources are will matter more than continued process shrinking. Humans are made from common materials, are largely self sustaining and correcting, and consume very little energy for the amount and quality of the thinking we do. Computers aren't going to scale forever, and I'll hazard to guess that once they get to a certain point they'll start being more analog-biological than transistor based.

There are just so many unspoken benefits to being life. These AI machines that will bowl over humanity have to actually be proven to be slightly realistic beyond a thought experiment before I take them seriously.
This is really cool.

On one hand, there are a few problems with the proposal that I doubt a human would do:

- There are a few errors like the first example, `type untaggedUnion = TypeA |: TypeB`, not really making sense (since the union is untagged, `TypeA` and `TypeB` don't really make sense)

- Repetitive, there's a lot of wordiness and specifics. In this case, since it's a formal proposal, this is actually a good thing. But I still think a human writing the proposal could achieve the same descriptiveness with less wordiness.

- "Related Work" there are several examples which are untagged variants, which is redundant especially because ReScript already has these. The only truly relevant ones IMO are TypeScript and polymorphic variants in OCaml, and then there should be a mention of OCaml or ReScript's existing untagged union implementation.

- The proposal cites one paper, "Publication: “Pattern Matching with First-Class Polymorphism”: This paper by Garrigue and Rémy (2013)..." which is completely made up

That being said, I think this is a genuinely great proposal, and the AI doesn't detract from that. I can definitely see AI being used to write many, many more of these types of proposals and formal documents in the future, and I think that's a good thing
I have no idea how you got to covid
> OpenAI and Google both scour the web for human-generated content

OpenAI and Google both scour the web for content, period. That content could be human generated or AI generated or a mix of the two. Neither company is respecting copyright or terms of service of every individual bit of data collected. Neither company cares how much effort was put into creating the data, whether humans were paid to do it, or whatever else. So there really isn't that much difference between the two. In fact I can guarantee that there was some Google-generated content within OpenAI's training data.
For me, LED bulbs have a failure curve like any other electronic device: high level initially and quickly levelling off to zero. I've probably had... 10% of my bulbs purchased in the last decade or so go back to the store because they've either failed or started flickering. Outside of that, I have zero failures after having the bulb for a month or two. I have a box of bulbs and some of them are bulbs I bought years ago and pulled out of my house when I moved, and I've used them at various apartments since. Still going great.

Edit: one other thing, I'm also sensitive to the cooling needs of LEDs, so maybe that helps. At my last apartment, I had the 'ceiling boob' style built-in fixtures which didn't allow proper airflow for the LED. I built a little spacer and got a longer mounting rod to allow a 1/8" gap around the bottom, central hole and the top edge of the glass. That kept the LEDs cool and wasn't noticeable.
I had no idea my son even knew scratch, but the other day I looked over his shoulder at his chromebook and was astonished to see him working on a huge scratch project. I asked if he had any other projects and he had dozens of projects, some incredibly complex. I was both surprised and pleased.
Presumably he means all types of machine learning in general.
It's been an only option during Covid times. I believe now the program is still remote-friendly, tho everyone is encouraged to come in-person (particularly because it became crystal clear how harmful the remote experience is)
Since it was through ShareGPT, is the argument like "what color are your bits" but for ToS?

Maybe if they had put in their terms of service "you can only share this on sites with their own ToS that allow sharing but disallow using the content for training models, and also replicate this requirement", I don't see how you could have any sort of viral ToS like that.

Seems more like it's just a bad idea to rely heavily on another LLM's output for training.
GPT3.5 Turbo pricing is 10k tokens or ~7500 words for $0.02. Though note that every API request includes the entire chat context and charges for input & output tokens. https://openai.com/pricing
Lightbulbs are infuriating now-a-days. I want poe-driven wired IoT bulbs (and downlights, and I suppose zigbee/zwave where poe can't be added in) that dim and color change on the white spectrum (no rgb silliness I will never need to make my lightbulbs green or purple or whatever), with no flicker and high CRI / full spectrum.

And a black box controller that matches output to exterior conditions automatically. No app, just a black box with a wired light sensor.

You can rip my halogen reading lamps cold dead hands.
I don't finish reading the article because it seems the author is very unlucky with LEDs, but LEDs really that bad?

You know that thing where you didn't notice anything wrong until someone mention it and suddenly you notice it too? It doesn't happen to me after reading the article. What should I pay attention to my LED bulbs so I can be on the same page with the author?
Its a really good intro, but can become stifling really fast for young learners. You risk losing their interest too soon if they want to push past the boundaries.
>Almost all LED bulb failures are because the power supply died due to overheating, not the LEDs themselves.

I have the exact opposite experience, virtually every single light bulb I have torn down - one LED (all in series) has a black dot, if I shorten it - it will 'work' again. The bulbs I have seen tend to drive the LEDs so hard that some of the latter fail, power supplies might have huge ripple but generally don't fail catastrophically.

Edit: now thinking, it can be a US thing, with the voltage being ~120. Lower AC voltages means worse efficiency for the power supply (and all of them tend to be universal, unless totally cheapen out on the primary capacitor [250V] for the US market). Generally speaking low AC voltages have mostly disadvantages.
Is there a comprehensive comparison between the strengths/weaknesses of APL and numpy?

I have been interested in APL and friends for some time, but have not yet seen an example which made me commit to taking the time to learn it. numpy (and JAX) have been doing everything I wanted, so far.
Nope, see them on the streets every day.
Solarwinds all over again!
Craigslist has had the benefit that its infrastructure is very simple, and takes almost no maintenance to run. Something at the complexity level of Facebook would probably die in weeks if the servers were left to run unmaintained. That may happen to Twitter if the slow bleed continues and the service becomes unprofitable to run.
Neon optimizes it's storage architecture to make any point-in-time lookup of pages cheap, whereas Aurora only maintains the latest version of a page. This means that Neon only stores the differences between split branches, while Aurora stores a whole copy of the data - or at least, that's what you pay for.

Other changes are that Neon still (mostly) uses Postgres' XLog storage format, whereas Aurora does not, and that the source code for Neon's storage engine is fully open source and supports PostgreSQL 15, while Aurora is closed-source and doesn't.
> previously the low-effort default option was great

You mean incandescents? I disagree, their efficiency is terrible ("space heaters that happen to glow"). And their lifespan was artificially limited.
I feel the same! Absolutely love Tailscale. I really hope they don’t change, I also love their philosophy.

Only thing atm I don’t like it the battery use on my iPhone. But it’s well worth it.
Our 2022 Transparency Report and New Transparency Center
Simone Giertz Builds an Autonomous Charging Robot for Her Tesla
Simone Giertz partners with Viam, a modern robotics platform founded by the co-founder and CTO of MongoDB, Eliot Horowitz, to build an autonomous charging robot for her custom Tesla truck.

(I work at Viam)
Show HN: RoboPianist, a piano playing robot simulation in the browser
AI content will be associated with a user or organization in the trust graph. If someone you trust trusts a user or organization who posts AI content, you're free to revoke your trust in that person or blacklist the specific users/organizations you don't want to see anymore.
rather the result of cost optimization and general apathy towards the customer

Apathy towards the consumer, or by the consumer? I don’t think I’m alone when I say that I just buy name brand LED bulbs (usually Phillips) in the color temperature of my choice and am completely satisfied with them. Color rendition is fine, no noticeable flicker, long lifetime. In the past 7 years I haven’t had any fail prematurely, though I’ve replaced some early to change color temperature.
Roblox could be good. The marketplace is such that you can drop them in and have them create practical things, while deciding how in the weeds of actual coding they want to get into.
You also get (the wiring for) remote control for free though, which is nice.

It seems like there would be a market for cheap as possible 10 mbit switches with 802.3bt/802.3af support though.

https://www.amazon.com/Gigabit-802-3af-100Mbps-250Meter-Unma... is pretty cheap as is, I'm sure you could buy something in bulk for cheaper.
From the article: When you turn on Funnel, we create public DNS records for your node.tailnet.ts.net name that points to a set of ingress servers we operate around the world, and then we give those servers very limited access to your tailnet.
Yep. It's in their ToS:

If you're posting anything you did not create yourself or do not own the rights to, you agree that you are responsible for any Content you post; that you will only submit Content that you have the right to post; and that you will fully comply with any third party licenses relating to Content you post.

I suppose this means if I upload your stuff to GitHub, and you sue GitHub, then GitHub would be able to somehow deflect liability onto me.
We have to take unintended consequences into account. It's unlikely that we will be able to get all corporations and governments to agree to a pause and be able to enforce it. The question then is what are the consequences of some people pausing and not others? Does this decrease risk or increase it?
What does winter mean at 80 000 ft and Mach 3?

The jet stream is insanely fast at that altitude mixing the air, and at Mach 3 the surface weather changes in fractions of a minute.
It's not like ASN1 didn't exist (or still exist). It's hard to say what'll catch on, I guess.
If you still have the receipt you can file a warranty claim.
You're definitely onto something here. I look at it from a realist take - it's just language. Language can do impressive things and have impressive consequences, but they aren't sticks and stones. We ascribe high value to well-written text because it's seen as this token of intelligence, but on the other side of the board it's a game of pattern-recognition. We may well impress ourselves by how much work can be saved with guessing the rest of your response.

As you say, the original sin is anthropomorphizing AI. We all want to do it, because it's a convenient way of looking at it and extremely gratifying to our inner science-fiction nerd. It has the unfortunate side-effect of implying something has a soul, or a lived experience that is the sum of something greater than text. It's not. Even AI trained on text and images and video is not capable of simulating a human life. The only way to accurately model the success, failure, longing and achievement of humankind is by growing into it one year at a time. Claims of "superhuman" writing speeds may well be true, and the text might even be written inscrutably well. It's not human, though, and humanity is a poor benchmark for LLM scientists that ought to know better.
Yet there is at least one famous person in CS and EE (and physics?), who says, that mathematical notation is not all that great, compared to how precise computer languages are or can be. Yet I remember often struggling to decide the order of things expressed with mathematical notation, when merely the minimal number of parentheses was employed by a lecturer or teacher.

Mathematical notation is very concise, but I would not call it a great notation in terms of intuitively being clear, which operations to apply in which order or which symbol groups its argument(s) in what way and found myself rather tending to write an extra pair of parentheses, to make things clearer for myself.

There is also the mix of operators and functions. Some computer languages do not mix that, but employ only functions, which makes things clearer as well.
Seriously. I always thought I was very picky, both to flickering and color temp(3000k FTW). Sure, the >3000K bulbs look like death, and I've had issues with some bulbs flickering, but overall I'm really happy with the light output of my LEDs(color temp, CRI, stability, longevity). I'm in the US too. Not sure what folks are complaining about.
Gotcha, we can do that!
What part of succinct do you not understand? Bard provides a bunch of useless text too, only you can't get rid of it. No worries, you don't know how to use chatgpt, have fun with Bard until Google cancels it.
Super interesting.

1. How are you going to get over the layout logic hump? Converting from elements on an x/y canvas to actually good frontend code (Properly nested dom elements, responsive etc) is really hard. I'm pretty sure it's why no 'design to code' tools are actually used in production.

2. Would you consider making this as a figma plugin, as opposed to a seperate tool?
Planes, Trains, and Plantains: The Story of Oedipus
From an open source point of view it would be better if scraping proprietary LLMs would be allowed. Small LMs need this infusion of data to develop.

But the big news is that it works, just a bit of data can have a large impact on the open source LLMs. OpenAI can't have a moat in their proprietary RLHF dataset. Public models leak, they can be distilled.
I don't think it's an absurd metric at all. I think it's terribly unfortunate.

Software optimization on the whole would be a lot better off if developers took a lot more time to think about the scale of the products they work on and if users refused to put up with software and systems that don't respect users' time and agency.

If someone wants to calculate the lifetimes lost to Windows Update, I'd be interested in knowing how it compares to historical wars.
Stressed plants emit sounds that can be detected from more than a meter away
I wonder if some basic pre-processing of the image would help.

Turning RGB into YCbCr is a pretty essential step for achieving efficiency gain in techniques like JPEG. Quantization works a lot better when we can do the luminance and chrominance separately.

If you want the AI to "see" more like a human, converting into this kind of color space is an important first step IMO.
I don't really have a strong opinion on the letter because I agree with a few of the comments that the cat is kind of out of the bag. Even if we don't reach AGI, however you want to define it, I think we are headed for something existential, so I'm both skeptical of letters like this ability to work and sympathetic to the need to focus on the issue it's attempting to address.

So with that said, I find the "what about existing AI problems" and especially the "I don't like Musk comments" annoying. The current issues aren't as severe as what we could be facing in the not too distant future, and Musk is pretty tangential to that concern.
That’s central to my point. “well-informed and rational” is beginning to seem like too high of a bar to expect, especially when people deliberately take advantage of that aspect of human nature.
Can anyone explain how is this different to ngrok?
These are good points! Especially for founders who don't have any founder-group in the first place, YC may be a source to create one.

These things are really important, just that in comparison I saw alternatives which can help with it better (being in a small in-person group, for example)