skysight-inc/HackerNews huggingface dataset:
I really like this implementation, but it's probably worth mentioning here that RunUO and other tools like it are solving the problem at a layer of abstraction beneath what I was introducing here.

The serialization system I am providing here actually leverages System.Text.Json for reading and writing data — it's more concerned with helping you represent version-able, upgrade-able data models that are also compatible with the hierarchical state machine implementation I use for managing game state.
If it's about making money or making a living, your best alternative is probably to make an app exclusively for the platform where most of your profitable customers are. You can expand to other platforms later if you get the scale.
Kind of sounds like OpenAI when it started, so will history repeat itself? Nonetheless, excited to see what comes out of it.
How are they gonna pay for their compute costs to get the frontier? Seems hard to attract enough investment while almost explicitly promising no return.
I am not against the JSON-in-columns hybrid path, but I have typically found it grows into a monster over time. In my experience, it caused performance problems more than anything else.
Good to see this. I hope they have enough time to create something before the big 3 reaching AGI.
Can't wait for OpenSSL and LibreSSL...
Just because the dotcom bubble was more ludicrous doesnt mean there wasnt another bubble
It's because litter in the ocean can travel and pollute anywhere else in the ocean. A landfill in Germany doesn't affect anywhere except the immediate surroundings.

The ocean is a shared resource. Land isn't.
Does this mean they will not instantiate a super AI unless it is mathematically proven that it is safe?
The price would be defendable on a more mature device if developers would be free to develop stuff for it as on a Mac.

For now it was not worth it even though the hardware was nice.
This makes sense. Ilya can probably raise practically unlimited money on his name alone at this point.

I'm not sure I agree with the "no product until we succeed" direction. I think real world feedback from deployed products is going to be important in developing superintelligence. I doubt that it will drop out of the blue from an ivory tower. But I could be wrong. I definitely agree that superintelligence is within reach and now is the time to work on it. The more the merrier!
Dupe https://news.ycombinator.com/item?id=40730132
The NREL data implicitly control for that
Love the plain html
Don't forget vehicles got heavier, rims got bigger/rubber has thinner sides, suspensions geometry evolved and got stiffer (and possibly non-linear, at least on the high end) and so on and so forth, reducing the amount of elastic energy.

There's mechanical braking assistance (not just ABS) which means pressing the same pedal distance may produce different breaking strength depending on the speed at which the pedal is pressed; e.g pressing hard triggers force assistance from, say, a vacuum reservoir that reuses engine pump loss, which means conversely pressing lightly for a normal stop does not need to exert as much pressure, hence an eased in stop.

Also with more stable vehicles with better chassis, suspension, and overall balance, I feel like rear braking has been tuned upwards over time, making for a more stable stop: notice how lightly pulling the handbrake has a straight-rolling car "sitting" instead of "diving". More consistent use of disc brakes instead of drums on the rear end certainly helps, as well as the ability for the vehicle to remain stable even when braking while in a turn.

Regarding brake friction itself, I can think of at least one major change: the ban of materials such as copper or asbestos in brake pads.
> I spend a bunch of time rock climbing (hence the crash pad couch) and lifting weights, maybe that counter acts it?

One more anecdata to add in support of lifting weights: I started experiencing the early symptoms of wrist RSI and went to a physical therapist who showed me some wrist strengthening exercises with free weights. Within weeks the pain disappeared and hasn't come back in years despite no other ergonomic changes (I still lift weights).

PT also recommended rockclimbing or pretty much any exercise that strengthens the forearm muscles as an alternative.
That highly depends on the person. I’m primarily WFH for the last 10 years, like anything it’s not a one size fits all.

To me the benefits massively outweigh the negatives. Mostly commute tbh. It just feels more human to me in a world where it feels like your entire life revolves around work. 10 hour days between work, lunch, commute, etc. weekends are full of chores that I didn’t have time to do during the week. Balance is way out of whack, to me personally.
Daniel Levy

Like the Tottenham Hotspurs owner??
I remember the exact same thing. Might have been this BYTE magazine from 1996

https://archive.org/details/199604_byte_magazine_vol_21_04_f...
You can argue about the value of traditional education.

But I think you would be hard pressed to find a university, even a crappy one, where it's up to the students to TA themselves, there are 100 students to one professor, and the curriculum constantly changes in the middle of a semester. So it's not quite accurate to try and compare Lambda to a traditional univeristy.

But congrats on your success in career changing. It begs the question of whether you could've done that on your own without attending a boot camp.
> Our singular focus means no distraction by management overhead or product cycles, and our business model means safety, security, and progress are all insulated from short-term commercial pressures.

I wish more details were provided on what exactly the business model is that allows such isolation despite this being such a capital intensive mission.
Desktop browser might be smoothing things over here, but I tried to load this on my android tablet and had to add www to get the domain to resolve.
The site is a good example of Poe's Law.

If I didn't know that it was real, I would have thought it was parody.

> We are assembling a lean, cracked team of the world’s best engineers and researchers dedicated to focusing on SSI and nothing else.

Do you have to have a broken bone to join?

Apparently, grammatical nuances are not an area of focus for safety, unless they think that a broken team ("cracked") is an asset in this area.
need a copy of signal that generates fake messages and floods the spools with junk data
Costs were already low and machine learning is not cheaper than just doing something like a principle component analysis or LDA. States using 1990s hardware were already able to determine you didn't already have a drivers license in their database of millions of drivers.
Allred?
Jobs start at $11.00 an hour
Egypt, on the other hand, has a huge fleet of tanks that they just keep in storage (at their own cost). They basically are taking the military aid in the hope that the US would help them should a war develop.
Yes. “an illness he was being treated for suddenly worsened”
More info (but a little vague on myth vs fact):
https://en.wikipedia.org/wiki/Mpemba_effect
Agreed, I gave real $ to the "Lambda Perpetual Access Fund" and now feel negative about the whole thing, but the sections where the author is talking about Austen's golf swing, bots, having written a paragraph conscious of clickbait? Not really necessary.
Stevan Apter is awesome, I love "No Stinking Loops."
His episode of the ArrayCast is great.

https://www.arraycast.com/episodes/episode26-stevan-apter
It doesn’t count as advocating is your audience is only people who (in general) agree with you. I don’t think anyone on hackernews wants PWAs to be a worse experience, but they are. If you want to make a difference, you’re not gonna make it here.

“Preaching to the choir” comes to mind.
I am not on the bleeding edge of this stuff. I wonder though: How could a safe super intelligence out compete an unrestricted one? Assuming another company exists (maybe OpenAI) that is tackling the same goal without spending the cycles on safety, what chance do they have to compete?
Apple Intelligence is run on-device and on Apple's Private Cloud Compute, it does not use OpenAI. Apple also allows ChatGPT (and later other models) to be called directly from Siri and writing tools, in cases where Apple Intellgence can't solve the task. That is for example for when some text should be composed, like a story or recipe. Nothing about this contradicts with what I have written previously.
You can surprisingly sort of do this in Java. Just create a lambda which will start the game at the current state when you call it.
not sure how to use this app.
Glad to see Ilya is back in a position to contribute to advancing AI. I wonder how they are going to manage to pay the kinds of compensation packages that truly gifted AI researchers can make now from other companies that are more commercially oriented. Perhaps they can find people who are ideologically driven and/or are already financially independent. It's also hard to see how they will be able to access enough compute now that others are spending many billions to get huge new GPU data centers. You sort of need at least the promise/hope of future revenue in a reasonable time frame to marshall the kinds of resources it takes to really compete today with big AI super labs.
or months and months of defending your reputation can wear you down. have a little empathy for the flawed human on the other side of the screen.
Ah, yeah, I almost forgot about that. I remember students who were frustrated because of some mystery error that plagued them for hours, only for me to take a closer look and figure it out in 5 minutes. It forced me to rethink how we taught students how to read error messages, figure out line numbers and stack traces, and how to ask Google for help.
Tracker warning
Flubbed climate test won't deter rich donors from altering the sky
Back in the late 80s / early 90s, I taught non-traditional students coming in through state-funded retraining programs at UT Arlington Continuing Education and Texas State Technical Institute (now TSTC) in Waco. The idea was "here are a bunch of laid-off manufacturing workers who want to retrain as SOMETHING with high-tech." The most popular courses were of the very short "here's how to do some things with Unix" variety: how to log-in, how to do simple admin, how to exit vi, how to edit a file with emacs, Make for the perplexed, etc.

I did teach a 6 week C++ course. Mostly attended by CS students at the local college. Back in the day we didn't teach kids how to code in a CS cirriculum. They were expected to just pick it up themselves. Six weeks really isn't enough to teach how to be good at C++.

I spent a fair amount of time reading Papert and Piaget, trying to develop a theory on how people learn and how to best teach "programming" concepts. I've yet to see ANYONE (myself included) do an excellent job teaching the kind of programming employers want. I saw another comment here about how "programming" is simple, but teaching architecture and putting things together is hard. I would mostly agree with that.

But... there are some techniques that are better than others.

My experience w/ Lambda School was they tried to hire me as an instructor way back when. I talked to them briefly about pedagogy and their approach to modeling learning and how they were going to measure improvements in their cirriculum. I got blank looks. They kept harping about how they were going to iterate, but without the slightest idea how they were going to improve between iterations.

I quietly walked out the door never to return (moving to Seattle to work for Amazon instead.) It looks like I made the right call.
This is probably his former Soviet union English showing up where he meant to say crack, unless he thinks people being insane is an asset
Not quite the same, OpenAI was initially quite open, while Ilia is currently very explicitly against opening or open-sourcing research, e.g. see https://www.theverge.com/2023/3/15/23640180/openai-gpt-4-lau...
Related. Others?

F (2006) - https://news.ycombinator.com/item?id=24238846 - Aug 2020 (56 comments)

F – a pure functional concatenative language (2006) - https://news.ycombinator.com/item?id=10776314 - Dec 2015 (7 comments)
Finite Curve
According to this video, cats’ frame rate is 50 hz, a bit slower than humans’ 60 hz, but with much sharper vision. So perhaps it’s the pixel size and not the frame rate that matters most. Dogs do have a higher frame rate, so your hypothesis could fit their behavior if dogs don’t watch TV.

https://youtu.be/Gvg242U2YfQ?si=Tsfan1-W2DdrDkVi
Cracked, especially in saying "cracked engineers", refers to really good engineers these days. It's cracked as in like broken in a good way, like too over-powered that it's unfair.
I mean, see, say, Google+, or that Facebook metaverse thing, or the various Windows Phones, or IBM's adventures in the blockchain. Companies get over-excited about the latest trend and do silly stuff all the time. People generally more or less forget.
the first step of safe superintelligence is to abolish capitalism
I have this sense that the world of tech needs the pendulum to swing back a bit towards geeky hacker types who are in it for the love of building cool things, tinkering, exploring and all that. There is a bit too much of the "bro" side of things - hustlebros and techbros and VC bros and that culture.

Where are my people at these days?
As does Everett.
> i have the same problem with this as i did the original version of anthropic - you cannot achieve "unilateral ai safety". either the danger is real and humanity is not safe until all labs are locked down, or the danger is not real and theres nothing really to discuss.

It’s not clear to me that this would be true. Remember that there’s a lot of vagueness about the specific AI risk model, aside from the general idea that the AI will outsmart everyone and take over the world and then do something that might not be good for us with all that power.

How do you shut down all the AI labs? You can’t; some of them are in different countries that have nuclear weapons. But maybe you can defeat an evil AI with a good AI.
I have a strong intuition that chat logs are actually the most useful kind of data. They contain many LLM outputs followed by implicit or explicit feedback, from humans, from the real world, and from code execution. Scaling this feedback to 180M users and 1 trillion interactive tokens per month like OpenAI is a big deal.
Do you find the name "Safe Superintelligence" to be an instance of virtue signalling? Why or why not?
You underscore the same thing I noticed as well: To have a decent career as a software engineer you need to be a tenacious problem solver. Even the not-so-great devs are tenacious.

There are tons of smart, hard-working people who have a mentality of "You should be able to do everything correctly and have it work correctly the first time, or maybe on the second try with some minor adjustments". And I think these people will find no joy in being a software developer and typically don't survive bootcamps.
Show HN: I made a book shortener with LLMs
This project shortens books or long texts using an LLM (Large Language Model).

Overview

The LLM Book Shortener is a tool designed to condense long texts or books into shorter, more manageable versions. By leveraging Large Language Models such as OpenAI's GPT-4o or others, this tool ensures that the essence of the original text is preserved while reducing its length significantly. The primary goal is to facilitate faster reading and comprehension, making it ideal for students, researchers, and avid readers.

Motivation

I wrote this to read significantly more and it worked.

Results

test@MacBook-Pro llm-book-shortener % wc -c waldenrewrite.txt
231074 waldenrewrite.txt

test@MacBook-Pro llm-book-shortener % wc -c waldenprogress.txt
636980 waldenprogress.txt

The rewritten version is approximately ~36% from the original. That's a significant reduction.

URL: https://github.com/sturza/llm-book-shortener
Parking space is the most important limiting factor around here. Making more than 4-5 stories on typical city plot requires adding a second level to underground garage, which skyrockets the building costs. Creating an underground level is few times more expensive than normal one and cost rises exponentially for each story. Cities typically require 0.5 - 1.5 parking spaces per apartment, so you have to make them and convince customers to pay extra or else you loose money holding lots of unused space that require constant maintenance. For the same reason Honk-Kong-style micro apartments are unheard of in Europe.
a tricky situation now for oai engineering to decide between good and evil.
lol. people say this all the time. It’s hilarious.

Miami is 6 feet above sea level. Now look up Obama’s house.
ReactOS – Legal or Not?
Inspired by some other recent thread here, I would like to discuss the legality of ReactOS. So far it's been found that Wine no longer accepts contributions from ReactOS, as they stated on their website "Don't look at ReactOS code either (not even header files). A lot of it was reverse-engineered using methods that are not appropriate for Wine, and it's therefore not a usable source of information for us. [1]" (source: https://wiki.winehq.org/Clean_Room_Guidelines)

Also found https://www.osnews.com/story/15175/review-reactos/ with some comments from ReactOS developer.

Finally, after some deep searching I found https://web.archive.org/web/20070106124749if_/http://www.reactos.org:80/wiki/index.php/TinyKRNL it is no longer available on their website. From one side they say that they had relationship with Tinykrnl and the latter used dirty reverse engineering methods. On the other side they said they couldn't directly utilize it. I also found that Tinykrnl and ReactOS had at least two common developers.

I don't know what to think about it. I'm puzzled.
We stop trusting people who do deceive us, but with LLMs we promote them to the top of search results.
Comments moved to https://news.ycombinator.com/item?id=31236290.
> It would be ideal if US allies would spend more on their militaries, but the last time a US President insisted on that he was mocked mercilessly.

I think the mockery was over how he transactionally framed it rather than the principle itself. But TBH do we really want European countries to rearm? After centuries of fighting they quieted down after outsourcing it to the US. And since they weren't fighting that outsourcing wasn't even that expensive. I am sure it was cheaper to have all those US troops supporting NATO countries than to get drawn into yet another war over there.

> Staying ready for war like this is actually a wise course of action - it would be catastrophic to have to ramp up in the next emergency like in WW2.

It's like insurance -- you hope that it's a deadweight loss but pay for it because it's cheaper than holding the risk yourself. And I do think the western countries overdid it in regards to downsizing after the end of the cold war.
5 Gbps fiber connections just became available in my area but they're basically unusable because internal home networking just isn't there yet.

2.5 Gbps switches only recently became cheap enough for consumer purchasing, and the NICs are still mostly on the higher end mobos. Would be great to see 5GbE available at a good price point.

I still don't know what I'd use it for though. Looks like at home we've downloaded about 1TB in the last week, 7TB over the last 30 days. Upload is 0.25TB and 1TB for that period, so not enough sustained usage, and peak bandwidth used seems to be 260Mbps. No need for it, but I still want it.

ChatGPT reckons -

- 2Gbps connection can handle up to 80 4K streams or 666 Xbox gaming sessions.

- 5Gbps connection can handle up to 200 4K streams or 1666 Xbox gaming sessions.

So, I guess I need to buy more Xboxes.
6-figure free compute credits from every major cloud provider to start
based on the naming conventions established by OpenAI and StabilityAI, this may be the most dangerous AI company yet
Discussed at the time:

The Demise of the Mildly Dynamic Website - https://news.ycombinator.com/item?id=31236290 - May 2022 (91 comments)
I know of a couple of people I really trust that tried to explain to me how they feel when they try math or programming and it's more like a physical pain almost than frustration. I always also got frustrated and always thought everyone just has to push through it but I wonder if there's something deeper. Those two people really led me to believe some of us have some harder "blockage" than others to get through, and it's not related purely to being generally smart.
The article covers:
- The Signal Processing Pipeline Architecture
- OTel Receivers. Prometheus-style Scrapers
- OTel Processors. The Memory Limiter & Batch Processor. Multi-tenant Signal Processing
- OTel Exporters. The Exporting Pipeline & Queues. The implementation of persistent queues
- How observability is done in the OTel Collector itself. Logging, metrics, and traces
- OTel Extensions Design. Authentication & ZPages
-Custom Collectors & OTel Collector Builder
- Feature Gates Design & The Feature Release & Deprecation Process
This article needs an editor the way that Austen Allred needs a conscience.
$1,500 is still more than I'm willing to pay to be locked into Apples paired down ecosystem which essentially enables me to watch movies I bought on the platform.

This should be a $200 screen that connects to the phone. Also ditch they eye tracking, I dont want google and other spying compaines watching my eyes.
Wonder if funding could come from profitable AI companies like Nvidia, MS, Apple, etc, sort of like Apache/Linux foundation.
I have yet to see a generative example of a coherent linear narrative sequence with persistent characters/settings using static images. I would like to see a comic book or a storyboard that passes the smell test.
Glad I’m not the only one. I was left baffled at what I should be doing, thought it was because I was on my phone
When I started to study English many years ago, my mom gave me a book series titled America Today or something like that. The book was life changing as it made learning English so much easier than the Chinese way at that time and it taught me a lot about the US. The book 3 devoted many chapters to a day in someone's life, one of which is A Day in the Life of a Farmer. At that time, the US was the beacon of the modern civilization to Chinese people, a superpower that was far ahead of everything we did. And despite that the work of a farmer was still tough. They still needed to get up at 4:00am or early to take care of their livestocks. They still had to take care of their crops before the sun fully rose. They still had to handle many issues about their land, their equipment, and their business. They still had to do tons of intense manual labor. Despite all the toughness, though, the chapter also conveyed the idea that farming can be gratifying and fulfilling. I certainly appreciate this kind of optimism and appreciation, and the life an American farmer has a lasting impression until this day.
But any model, no matter how safe it was in training, can still be prompt hacked, or fed dangerous information to complete nefarious tasks. There is no safe model by design. Not to mention that open weights models can be "uncensored" with ease.
Did you read the linked article? I'm struggling to empathize with this fraud, especially after listening to the interview mentioned.